151
|
Zhou YY, Wang H, Xian ZH, Cong WM, Dong H. [Analysis of clinicopathological features of 18 cases of hepatic angiosarcoma]. ZHONGHUA GAN ZANG BING ZA ZHI = ZHONGHUA GANZANGBING ZAZHI = CHINESE JOURNAL OF HEPATOLOGY 2023; 31:729-735. [PMID: 37580256 DOI: 10.3760/cma.j.cn501113-20220224-00088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 08/16/2023]
Abstract
Objective: To investigate the clinicopathological features, treatment, and prognosis of hepatic angiosarcoma. Methods: Clinicopathological data and prognostic conditions of 18 cases with hepatic angiosarcoma were collected retrospectively. The recurrence-free survival rate and overall survival rate were calculated by the Kaplan-Meier method. A Cox regression analysis was used to explore the survival-related risk factors. Results: There were 12 male and 6 female patients, with an average age of 57 (37 ~ 70) years. The tumor's average diameter was 8.40 (2.00 ~ 18.00) cm. Seven cases had multiple tumors, while two cases had large vessel tumor thrombuses. Microscopically, the tumor tissues were irregularly anastomosed, with vascular lacunar or solid bundle-like weaving, and the tissue morphology mimicked capillary hemangioma, cavernous hemangioma, or angioepithelioma, while tumor cells were spindle-shaped or epithelioid, lined with hobnails in the lumen, or formed papillary structures in the lumen. The proportion of highly, moderately, and poorly differentiated tumors was 4:8:6, with six cases having clear tumor boundaries, eight having microvascular tumor thrombi, and sixteen having blood lake formation. Different levels of expression of CD31, CD34, erythroblast transformation-specific related genes, and Fli-1 markers were demonstrated in all of the cases. Four cases had a P53 mutation, and six cases had Ki-67 > 10%. During the follow-up period of 0.23-114.20 months, the five-year recurrence-free survival rate and overall survival rate were 16.7% and 37.2%, respectively. Cox regression multivariate analysis showed that preoperative symptoms and multiple tumors were significant risk factors for recurrence-free survival, while preoperative symptoms and Ki-67 > 10% were significant risk factors for overall survival. Conclusion: Hepatic angiosarcoma is a rare hepatic mesenchymal tumor with high malignancy and a poor prognosis. Pathological morphology and immunohistochemical marker combinations are needed for a definite diagnosis. However, the complexity of angiosarcomas' histological and cytological conformations and the overlap of pathological features with benign vascular tumors, sarcomas, and carcinomas pose difficulties in the differential diagnosis. Thus, the only effective ways to prolong survival are early detection and radical surgical resection.
Collapse
|
152
|
Xu XQ, Wang H, Shan S, You H, Nan YM, Xu XY, Duan ZP, Wei L, Hou JL, Zhuang H, Jia JD, Kong YY. [Ten-year changes in clinical characteristics and antiviral treatment patterns of chronic hepatitis B in China: a CR-HepB-based real-world study]. ZHONGHUA GAN ZANG BING ZA ZHI = ZHONGHUA GANZANGBING ZAZHI = CHINESE JOURNAL OF HEPATOLOGY 2023; 31:698-704. [PMID: 37580251 DOI: 10.3760/cma.j.cn501113-20230518-00226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 08/16/2023]
Abstract
Objective: To understand ten-year changes in clinical characteristics and antiviral treatment patterns of chronic hepatitis B in China. Methods: Patients with chronic HBV infection:demographic, virologic, hematologic, blood biochemistry, and antiviral treatment data were extracted from the China Registry of Hepatitis B (CR-HepB) database between 2012 and 2022 for descriptive statistics and change trend analysis. Multiple group comparisons were conducted using the Kruskal Wallis H test, while counting data was compared between groups using χ (2) test. Results: A total of 180 012 patients with chronic HBV infection were included, with a median age of 40 years old, and a male proportion accounting for 60.2%. The HBeAg positive rate was 43.3%. Over time, the median age of new patients each year increased from 39 to 47 years, while the HBeAg positive rate decreased from 51.3% to 32.8%. The initial diagnosis of patients was mainly CHB (71.4%), followed by hepatitis B cirrhosis (11.8%), inactive HBsAg carrier status (10.6%), and chronic HBV carrier status (6.2%). Among the newly registered patients every year from 2012 to 2022, the proportion of hepatitis B cirrhosis remained stable, but after 2019, the proportion of CHB increased and the proportion of other diagnoses decreased. The proportion of patients with cirrhosis increased with age in different age groups, with 3.5%, 19.3%, and 30.4% in the < 40, 40-69, and≥70 age groups, respectively. The proportion of women in patients with cirrhosis also increased with age, from 16.1% in those < 30 years old to 44.3% in those≥80 years old. From 2012 to 2022, the proportion of patients receiving first-line nucleos(t)ide analog antiviral treatment increased year by year, from 51.0% in 2012-2013 to 99.8% in 2022. Conclusion: The CR-HepB registration data reflect the changes in clinical characteristics and antiviral treatment patterns in patients with chronic HBV infection in China over the past ten years and can thus provide a reference to promote hepatitis B diagnosis and treatment practice, as well as scientific research.
Collapse
|
153
|
Zhang PP, Song JY, Wang HJ, Wang H. [Combined effect of PNPLA3 rs738409 and UGT1A1 rs10929303 gene polymorphisms on nonalcoholic fatty liver disease in children]. ZHONGHUA GAN ZANG BING ZA ZHI = ZHONGHUA GANZANGBING ZAZHI = CHINESE JOURNAL OF HEPATOLOGY 2023; 31:723-728. [PMID: 37580255 DOI: 10.3760/cma.j.cn501113-20220222-00084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 08/16/2023]
Abstract
Objective: To investigate the combined effects of patatin-like phospholipase domain containing 3 (PNPLA3) rs738409 (C > G) and uridine diphosphate glucuronosyltransferase 1A1 (UGT1A1) rs10929303 (C > T) on nonalcoholic fatty liver disease (NAFLD) in children and adolescents so as to provide scientific evidence for NAFLD genetic research. Methods: 1 027 children and adolescents aged 7-18 were selected as the research subjects. The general situation, past medical history, height and body weight measurements, and B- mode ultrasound test of the liver were investigated by dedicated full-time personnel. In addition, the morning fasting venous blood was collected to measure the blood biochemical indicators. DNA was extracted and genotyped for PNPLA3 rs738409 and UGT1A1 rs10929303. Logistic regression analysis was used to analyze the association and combined effect of the two gene polymorphisms and NAFLD. Statistical analysis was performed by t-test, Mann-Whitney U test, or c2 test according to different data. Results: The GG genotype of PNPLA3 rs738409 and the CC genotype of UGT1A1 rs10929303 were associated with an increased risk of developing NAFLD in children by 89% (OR = 1.89, 95% CI: 1.11-3.23, P = 0.019) and 96% (OR = 1.96, 95% CI: 1.21-3.17, P = 0.006), respectively, while the concurrent risk of NAFLD in those who carried the above two genotypes increased by 306% compared with those who did not carry both genotypes (OR = 4.06, 95% CI: 1.90 ~ 8.66, P < 0.001). Conclusion: The combined effect of PNPLA3 and UGT1A1 gene polymorphisms can significantly increase the risk of NAFLD in children, providing new evidence for elucidating the genetic susceptibility to NAFLD.
Collapse
|
154
|
Wang H, Lin G, Duan X, Qi M, Wu W, Ma J, Xu Y. [A method for sensitivity analysis of deviation factor for geometric correction of cone-beam CT system]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2023; 43:1233-1240. [PMID: 37488806 PMCID: PMC10366513 DOI: 10.12122/j.issn.1673-4254.2023.07.20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 07/26/2023]
Abstract
OBJECTIVE To propose a sensitivity test method for geometric correction position deviation of cone-beam CT systems. METHODS We proposed the definition of center deviation and its derivation. We analyzed the influence of the variation of the three-dimensional spatial center of the steel ball point, the projection center and the size of the steel ball point on the deviation of geometric parameters and the reconstructed image results by calculating the geometric correction parameters based on the Noo analytical method using the FDK reconstruction algorithm for image reconstruction. RESULTS The radius of the steel ball point was within 3 mm. The deviation of the center of the calibration parameter was within the order of magnitude and negligible. A 10% Gaussian perturbation of a single pixel in the 3D spatial coordinates of the steel ball point produced a deviation of about 3 pixel sizes, while the same Gaussian perturbation of the 2D projection coordinates of the steel ball point produced a deviation of about 2 pixel sizes. CONCLUSION The geometric correction is more sensitive to the deviation generated by the three-dimensional spatial coordinates of the steel ball point with limited sensitivity to the deviation generated by the two-dimensional projection coordinates of the steel ball point. The deviation sensitivity of a small diameter steel ball point can be ignored.
Collapse
|
155
|
Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, Dragicevic M, Valle AED, Frühwirth R, Jeitler M, Krammer N, Lechner L, Liko D, Mikulec I, Paulitsch P, Pitters FM, Schieck J, Schöfbeck R, Spanring M, Templ S, Waltenberger W, Wulz CE, Darwish MR, De Wolf EA, Janssen T, Kello T, Lelek A, Sfar HR, Mechelen PV, Putte SV, Remortel NV, Blekman F, Bols ES, D’Hondt J, Delcourt M, Faham HE, Lowette S, Moortgat S, Morton A, Müller D, Sahasransu AR, Tavernier S, Doninck WV, Mulders PV, Beghin D, Bilin B, Clerbaux B, De Lentdecker G, Favart L, Grebenyuk A, Kalsi AK, Lee K, Mahdavikhorrami M, Makarenko I, Moureaux L, Pétré L, Popov A, Postiau N, Starling E, Thomas L, Bemden MV, Velde CV, Vanlaer P, Vannerom D, Wezenbeek L, Cornelis T, Dobur D, Knolle J, Lambrecht L, Mestdach G, Niedziela M, Roskas C, Samalan A, Skovpen K, Tytgat M, Vermassen B, Vit M, Bethani A, Bruno G, Bury F, Caputo C, David P, Delaere C, Donertas IS, Giammanco A, Jaffel K, Jain S, Lemaitre V, Mondal K, Prisciandaro J, Taliercio A, Teklishyn M, Tran TT, Vischia P, Wertz S, Alves GA, Hensel C, Moraes A, Júnior WLA, Pereira MAG, Filho MBF, Malbouisson HB, Carvalho W, Chinellato J, Da Costa EM, Da Silveira GG, De Jesus Damiao D, De Souza SF, Figueiredo DM, Herrera CM, Amarilo KM, Mundim L, Nogima H, Teles PR, Santoro A, Amaral SMSD, Sznajder A, Thiel M, Da Silva De Araujo FT, Pereira AV, Bernardes CA, Calligaris L, Tomei TRFP, Gregores EM, Lemos DS, Mercadante PG, Novaes SF, Padula SS, Aleksandrov A, Antchev G, Hadjiiska R, Iaydjiev P, Misheva M, Rodozov M, Shopova M, Sultanov G, Dimitrov A, Ivanov T, Litov L, Pavlov B, Petkov P, Petrov A, Cheng T, Guo Q, Javaid T, Mittal M, Wang H, Yuan L, Ahmad M, Bauer G, Dozen C, Hu Z, Martins J, Wang Y, Yi K, Chapon E, Chen GM, Chen HS, Chen M, Iemmi F, Kapoor A, Leggat D, Liao H, Liu ZA, Milosevic V, Monti F, Sharma R, Tao J, Thomas-Wilsker J, Wang J, Zhang H, Zhang S, Zhao J, Agapitos A, An Y, Ban Y, Chen C, Levin A, Li Q, Lyu X, Mao Y, Qian SJ, Wang D, Wang Q, Xiao J, Lu M, You Z, Gao X, Okawa H, Lin Z, Xiao M, Avila C, Cabrera A, Florez C, Fraga J, Guisao JM, Ramirez F, Alvarez JDR, González CAS, Giljanovic D, Godinovic N, Lelas D, Puljak I, Antunovic Z, Kovac M, Sculac T, Brigljevic V, Ferencek D, Majumder D, Roguljic M, Starodumov A, Susa T, Attikis A, Christoforou K, Erodotou E, Ioannou A, Kole G, Kolosova M, Konstantinou S, Mousa J, Nicolaou C, Ptochos F, Razis PA, Rykaczewski H, Saka H, Finger M, Finger M, Kveton A, Ayala E, Jarrin EC, Abdelalim AA, Elgammal S, Lotfy A, Mahmoud MA, Bhowmik S, Dewanjee RK, Ehataht K, Kadastik M, Nandan S, Nielsen C, Pata J, Raidal M, Tani L, Veelken C, Eerola P, Forthomme L, Kirschenmann H, Osterberg K, Voutilainen M, Bharthuar S, Brücken E, Garcia F, Havukainen J, Kim MS, Kinnunen R, Lampén T, Lassila-Perini K, Lehti S, Lindén T, Lotti M, Martikainen L, Myllymäki M, Ott J, Siikonen H, Tuominen E, Tuominiemi J, Luukka P, Petrow H, Tuuva T, Amendola C, Besancon M, Couderc F, Dejardin M, Denegri D, Faure JL, Ferri F, Ganjour S, Givernaud A, Gras P, de Monchenault GH, Jarry P, Lenzi B, Locci E, Malcles J, Rander J, Rosowsky A, Sahin MÖ, Savoy-Navarro A, Titov M, Yu GB, Ahuja S, Beaudette F, Bonanomi M, Perraguin AB, Busson P, Cappati A, Charlot C, Davignon O, Diab B, Falmagne G, Ghosh S, de Cassagnac RG, Hakimi A, Kucher I, Motta J, Nguyen M, Ochando C, Paganini P, Rembser J, Salerno R, Sauvan JB, Sirois Y, Tarabini A, Zabi A, Zghiche A, Agram JL, Andrea J, Apparu D, Bloch D, Bourgatte G, Brom JM, Chabert EC, Collard C, Darej D, Fontaine JC, Goerlach U, Grimault C, Bihan ACL, Nibigira E, Hove PV, Asilar E, Beauceron S, Bernet C, Boudoul G, Camen C, Carle A, Chanon N, Contardo D, Depasse P, Mamouni HE, Fay J, Gascon S, Gouzevitch M, Ille B, Laktineh IB, Lattaud H, Lesauvage A, Lethuillier M, Mirabito L, Perries S, Shchablo K, Sordini V, Torterotot L, Touquet G, Donckt MV, Viret S, Lomidze I, Toriashvili T, Tsamalaidze Z, Botta V, Feld L, Klein K, Lipinski M, Meuser D, Pauls A, Rauch MP, Röwert N, Schulz J, Teroerde M, Dodonova A, Eliseev D, Erdmann M, Fackeldey P, Fischer B, Ghosh S, Hebbeker T, Hoepfner K, Ivone F, Keller H, Mastrolorenzo L, Merschmeyer M, Meyer A, Mocellin G, Mondal S, Mukherjee S, Noll D, Novak A, Pook T, Pozdnyakov A, Rath Y, Reithler H, Roemer J, Schmidt A, Schuler SC, Sharma A, Vigilante L, Wiedenbeck S, Zaleski S, Dziwok C, Flügge G, Ahmad WH, Hlushchenko O, Kress T, Nowack A, Pistone C, Pooth O, Roy D, Sert H, Stahl A, Ziemons T, Petersen HA, Martin MA, Asmuss P, Babounikau I, Baxter S, Behnke O, Martínez AB, Bhattacharya S, Anuar AAB, Borras K, Brunner D, Campbell A, Cardini A, Cheng C, Colombina F, Rodríguez SC, Silva GC, Danilov V, De Silva M, Didukh L, Eckerlin G, Eckstein D, Banos LIE, Filatov O, Gallo E, Geiser A, Giraldi A, Grohsjean A, Guthoff M, Jafari A, Jomhari NZ, Kasem A, Kasemann M, Kaveh H, Kleinwort C, Krücker D, Lange W, Lidrych J, Lipka K, Lohmann W, Mankel R, Melzer-Pellmann IA, Morentin MM, Metwally J, Meyer AB, Meyer M, Mnich J, Mussgiller A, Otarid Y, Adán DP, Pitzl D, Raspereza A, Lopes BR, Rübenach J, Saggio A, Saibel A, Savitskyi M, Scham M, Scheurer V, Schütze P, Schwanenberger C, Singh A, Ricardo RES, Stafford D, Tonon N, Turkot O, De Klundert MV, Walsh R, Walter D, Wen Y, Wichmann K, Wiens L, Wissing C, Wuchterl S, Aggleton R, Albrecht S, Bein S, Benato L, Benecke A, Connor P, De Leo K, Eich M, Feindt F, Fröhlich A, Garbers C, Garutti E, Gunnellini P, Haller J, Hinzmann A, Kasieczka G, Klanner R, Kogler R, Kramer T, Kutzner V, Lange J, Lange T, Lobanov A, Malara A, Nigamova A, Rodriguez KJP, Rieger O, Schleper P, Schröder M, Schwandt J, Schwarz D, Sonneveld J, Stadie H, Steinbrück G, Tews A, Vormwald B, Zoi I, Bechtel J, Berger T, Butz E, Caspart R, Chwalek T, De Boer W, Dierlamm A, Droll A, El Morabit K, Faltermann N, Giffels M, Gosewisch JO, Gottmann A, Hartmann F, Heidecker C, Husemann U, Keicher P, Koppenhöfer R, Maier S, Metzler M, Mitra S, Müller T, Neukum M, Nürnberg A, Quast G, Rabbertz K, Rauser J, Savoiu D, Schnepf M, Seith D, Shvetsov I, Simonis HJ, Ulrich R, Van Der Linden J, Cube RFV, Wassmer M, Weber M, Wieland S, Wolf R, Wozniewski S, Wunsch S, Anagnostou G, Daskalakis G, Geralis T, Kyriakis A, Stakia A, Diamantopoulou M, Karasavvas D, Karathanasis G, Kontaxakis P, Koraka CK, Manousakis-Katsikakis A, Panagiotou A, Papavergou I, Saoulidou N, Theofilatos K, Tziaferi E, Vellidis K, Vourliotis E, Bakas G, Kousouris K, Papakrivopoulos I, Tsipolitis G, Zacharopoulou A, Adamidis K, Bestintzanos I, Evangelou I, Foudas C, Gianneios P, Katsoulis P, Kokkas P, Manthos N, Papadopoulos I, Strologas J, Csanád M, Farkas K, Gadallah MMA, Lökös S, Major P, Mandal K, Mehta A, Pásztor G, Rádl AJ, Surányi O, Veres GI, Bartók M, Bencze G, Hajdu C, Horvath D, Sikler F, Veszpremi V, Vesztergombi G, Czellar S, Karancsi J, Molnar J, Szillasi Z, Teyssier D, Raics P, Trocsanyi ZL, Ujvari B, Csorgo T, Nemes F, Novak T, Komaragiri JR, Kumar D, Panwar L, Tiwari PC, Bansal S, Beri SB, Bhatnagar V, Chaudhary G, Chauhan S, Dhingra N, Gupta R, Kaur A, Kaur M, Kaur S, Kumari P, Meena M, Sandeep K, Singh JB, Virdi AK, Ahmed A, Bhardwaj A, Choudhary BC, Gola M, Keshri S, Kumar A, Naimuddin M, Priyanka P, Ranjan K, Shah A, Bharti M, Bhattacharya R, Bhattacharya S, Bhowmik D, Dutta S, Dutta S, Gomber B, Maity M, Palit P, Rout PK, Saha G, Sahu B, Sarkar S, Sharan M, Singh B, Thakur S, Behera PK, Behera SC, Kalbhor P, Muhammad A, Pradhan R, Pujahari PR, Sharma A, Sikdar AK, Dutta D, Jha V, Kumar V, Mishra DK, Naskar K, Netrakanti PK, Pant LM, Shukla P, Aziz T, Dugad S, Kumar M, Mohanty GB, Sarkar U, Banerjee S, Chudasama R, Guchait M, Karmakar S, Kumar S, Majumder G, Mazumdar K, Mukherjee S, Bahinipati S, Kar C, Mal P, Mishra T, Bindhu VKMN, Nayak A, Saha P, Sur N, Swain SK, Vats D, Alpana K, Dube S, Kansal B, Laha A, Pandey S, Rane A, Rastogi A, Sharma S, Bakhshiansohi H, Khazaie E, Zeinali M, Chenarani S, Etesami SM, Khakzad M, Najafabadi MM, Grunewald M, Abbrescia M, Aly R, Aruta C, Colaleo A, Creanza D, De Filippis N, De Palma M, Di Florio A, Di Pilato A, Elmetenawee W, Fiore L, Gelmi A, Gul M, Iaselli G, Ince M, Lezki S, Maggi G, Maggi M, Margjeka I, Mastrapasqua V, Merlin JA, My S, Nuzzo S, Pellecchia A, Pompili A, Pugliese G, Ranieri A, Selvaggi G, Silvestris L, Simone FM, Venditti R, Verwilligen P, Abbiendi G, Battilana C, Bonacorsi D, Borgonovi L, Brigliadori L, Campanini R, Capiluppi P, Castro A, Cavallo FR, Cuffiani M, Dallavalle GM, Diotalevi T, Fabbri F, Fanfani A, Giacomelli P, Giommi L, Grandi C, Guiducci L, Meo SL, Lunerti L, Marcellini S, Masetti G, Navarria FL, Perrotta A, Primavera F, Rossi AM, Rovelli T, Siroli GP, Albergo S, Costa S, Di Mattia A, Potenza R, Tricomi A, Tuve C, Barbagli G, Cassese A, Ceccarelli R, Ciulli V, Civinini C, D’Alessandro R, Focardi E, Latino G, Lenzi P, Lizzo M, Meschini M, Paoletti S, Seidita R, Sguazzoni G, Viliani L, Benussi L, Bianco S, Piccolo D, Bozzo M, Ferro F, Mulargia R, Robutti E, Tosi S, Benaglia A, Boldrini G, Brivio F, Cetorelli F, Ciriolo V, De Guio F, Dinardo ME, Dini P, Gennai S, Ghezzi A, Govoni P, Guzzi L, Malberti M, Malvezzi S, Massironi A, Menasce D, Moroni L, Paganoni M, Pedrini D, Pinolini BS, Ragazzi S, Redaelli N, de Fatis TT, Valsecchi D, Zuolo D, Buontempo S, Carnevali F, Cavallo N, De Iorio A, Fabozzi F, Iorio AOM, Lista L, Meola S, Paolucci P, Rossi B, Sciacca C, Azzi P, Bacchetta N, Bisello D, Bortignon P, Bragagnolo A, Carlin R, Checchia P, Dorigo T, Dosselli U, Gasparini F, Gasparini U, Grosso G, Hoh SY, Layer L, Lusiani E, Margoni M, Meneguzzo AT, Pazzini J, Presilla M, Ronchese P, Rossin R, Simonetto F, Strong G, Tosi M, Yarar H, Zanetti M, Zotto P, Zucchetta A, Zumerle G, Aime‘ C, Braghieri A, Calzaferri S, Fiorina D, Montagna P, Ratti SP, Re V, Riccardi C, Salvini P, Vai I, Vitulo P, Asenov P, Bilei GM, Ciangottini D, Fanò L, Lariccia P, Magherini M, Mantovani G, Mariani V, Menichelli M, Moscatelli F, Piccinelli A, Rossi A, Santocchia A, Spiga D, Tedeschi T, Azzurri P, Bagliesi G, Bertacchi V, Bianchini L, Boccali T, Bossini E, Castaldi R, Ciocci MA, D’Amante V, Dell’Orso R, Domenico MRD, Donato S, Giassi A, Ligabue F, Manca E, Mandorli G, Messineo A, Palla F, Parolia S, Ramirez-Sanchez G, Rizzi A, Rolandi G, Chowdhury SR, Scribano A, Shafiei N, Spagnolo P, Tenchini R, Tonelli G, Turini N, Venturi A, Verdini PG, Campana M, Cavallari F, Re DD, Di Marco E, Diemoz M, Longo E, Meridiani P, Organtini G, Pandolfi F, Paramatti R, Quaranta C, Rahatlou S, Rovelli C, Santanastasio F, Soffi L, Tramontano R, Amapane N, Arcidiacono R, Argiro S, Arneodo M, Bartosik N, Bellan R, Bellora A, Antequera JB, Biino C, Cartiglia N, Cometti S, Costa M, Covarelli R, Demaria N, Kiani B, Legger F, Mariotti C, Maselli S, Migliore E, Monteil E, Monteno M, Obertino MM, Ortona G, Pacher L, Pastrone N, Pelliccioni M, Angioni GLP, Ruspa M, Shchelina K, Siviero F, Sola V, Solano A, Soldi D, Staiano A, Tornago M, Trocino D, Vagnerini A, Belforte S, Candelise V, Casarsa M, Cossutti F, Da Rold A, Ricca GD, Sorrentino G, Vazzoler F, Dogra S, Huh C, Kim B, Kim DH, Kim GN, Kim J, Lee J, Lee SW, Moon CS, Oh YD, Pak SI, Radburn-Smith BC, Sekmen S, Yang YC, Kim H, Moon DH, Francois B, Kim TJ, Park J, Cho S, Choi S, Go Y, Hong B, Lee K, Lee KS, Lim J, Park J, Park SK, Yoo J, Goh J, Gurtu A, Kim HS, Kim Y, Almond J, Bhyun JH, Choi J, Jeon S, Kim J, Kim JS, Ko S, Kwon H, Lee H, Lee S, Oh BH, Oh M, Oh SB, Seo H, Yang UK, Yoon I, Jang W, Kang DY, Kang Y, Kim S, Ko B, Lee JSH, Lee Y, Park IC, Roh Y, Ryu MS, Song D, I.J. W, Yang S, Ha S, Yoo HD, Choi M, Jeong Y, Lee H, Lee Y, Yu I, Beyrouthy T, Maghrbi Y, Torims T, Veckalns V, Ambrozas M, De Oliveira ACA, Juodagalvis A, Rinkevicius A, Tamulaitis G, Norjoharuddeen NB, Abdullah WATW, Yusli MN, Zolkapli Z, Benitez JF, Hernandez AC, Coello ML, Quijada JAM, Sehrawat A, Palomo LV, Ayala G, Castilla-Valdez H, De La Cruz-Burelo E, La Cruz IHD, Lopez-Fernandez R, Herrera CAM, Navarro DAP, Hernández AS, Moreno SC, Barrera CO, Valencia FV, Pedraza I, Ibarguen HAS, Estrada CU, Bubanja I, Mijuskovic J, Raicevic N, Krofcheck D, Bheesette S, Butler PH, Ahmad A, Asghar MI, Awais A, Awan MIM, Hoorani HR, Khan WA, Shah MA, Shoaib M, Waqas M, Avati V, Grzanka L, Malawski M, Bialkowska H, Bluj M, Boimska B, Górski M, Kazana M, Szleper M, Zalewski P, Bunkowski K, Doroba K, Kalinowski A, Konecki M, Krolikowski J, Walczak M, Araujo M, Bargassa P, Bastos D, Boletti A, Faccioli P, Gallinaro M, Hollar J, Leonardo N, Niknejad T, Pisano M, Seixas J, Toldaiev O, Varela J, Adzic P, Dordevic M, Milenovic P, Milosevic J, Aguilar-Benitez M, Maestre JA, Fernández AÁ, Bachiller I, Luna MB, Bedoya CF, Montoya CAC, Cepeda M, Cerrada M, Colino N, De La Cruz B, Peris AD, Ramos JPF, Flix J, Fouz MC, Lopez OG, Lopez SG, Hernandez JM, Josa MI, Holgado JL, Moran D, Tobar ÁN, Dengra CP, Yzquierdo APC, Pelayo JP, Redondo I, Romero L, Navas SS, Gómez LU, Willmott C, de Trocóniz JF, Reyes-Almanza R, Gonzalez BA, Cuevas J, Erice C, Menendez JF, Folgueras S, Caballero IG, Fernández JRG, Cortezon EP, Álvarez CR, Bouza VR, Trapote A, Trevisani N, Cifuentes JAB, Cabrillo IJ, Calderon A, Campderros JD, Fernandez M, Madrazo CF, Manteca PJF, Alonso AG, Gomez G, Rivero CM, Arbol PMRD, Matorras F, Cuevas PM, Gomez JP, Prieels C, Rodrigo T, Ruiz-Jimeno A, Scodellaro L, Vila I, Garcia JMV, Jayananda MK, Kailasapathy B, Sonnadara DUJ, Wickramarathna DDC, Dharmaratna WGD, Liyanage K, Perera N, Wickramage N, Aarrestad TK, Abbaneo D, Alimena J, Auffray E, Auzinger G, Baechler J, Baillon P, Barney D, Bendavid J, Bianco M, Bocci A, Camporesi T, Garrido MC, Cerminara G, Chhibra SS, Cipriani M, Cristella L, d’Enterria D, Dabrowski A, David A, De Roeck A, Defranchis MM, Deile M, Dobson M, Dünser M, Dupont N, Elliott-Peisert A, Emriskova N, Fallavollita F, Fasanella D, Florent A, Franzoni G, Funk W, Giani S, Gigi D, Gill K, Glege F, Gouskos L, Haranko M, Hegeman J, Iiyama Y, Innocente V, James T, Janot P, Kaspar J, Kieseler J, Komm M, Kratochwil N, Lange C, Laurila S, Lecoq P, Long K, Lourenço C, Malgeri L, Mallios S, Mannelli M, Marini AC, Meijers F, Mersi S, Meschi E, Moortgat F, Mulders M, Orfanelli S, Orsini L, Pantaleo F, Pape L, Perez E, Peruzzi M, Petrilli A, Petrucciani G, Pfeiffer A, Pierini M, Piparo D, Pitt M, Qu H, Quast T, Rabady D, Racz A, Gutiérrez GR, Rieger M, Rovere M, Sakulin H, Salfeld-Nebgen J, Scarfi S, Schäfer C, Selvaggi M, Sharma A, Silva P, Snoeys W, Sphicas P, Summers S, Tatar K, Tavolaro VR, Treille D, Tsirou A, Onsem GPV, Wanczyk J, Wozniak KA, Zeuner WD, Caminada L, Ebrahimi A, Erdmann W, Horisberger R, Ingram Q, Kaestli HC, Kotlinski D, Missiroli M, Rohe T, Androsov K, Backhaus M, Berger P, Calandri A, Chernyavskaya N, De Cosa A, Dissertori G, Dittmar M, Donegà M, Dorfer C, Eble F, Gedia K, Glessgen F, Espinosa TAG, Grab C, Hits D, Lustermann W, Lyon AM, Manzoni RA, Perez CM, Meinhard MT, Nessi-Tedaldi F, Niedziela J, Pauss F, Perovic V, Pigazzini S, Ratti MG, Reichmann M, Reissel C, Reitenspiess T, Ristic B, Ruini D, Becerra DAS, Schönenberger M, Stampf V, Steggemann J, Wallny R, Zhu DH, Amsler C, Bärtschi P, Botta C, Brzhechko D, Canelli MF, Cormier K, De Wit A, Burgo RD, Heikkilä JK, Huwiler M, Jin W, Jofrehei A, Kilminster B, Leontsinis S, Liechti SP, Macchiolo A, Meiring P, Mikuni VM, Molinatti U, Neutelings I, Reimers A, Robmann P, Cruz SS, Schweiger K, Takahashi Y, Adloff C, Kuo CM, Lin W, Roy A, Sarkar T, Yu SS, Ceard L, Chao Y, Chen KF, Chen PH, Hou WS, Li Y, Lu RS, Paganis E, Psallidas A, Steen A, Wu HY, Yazgan E, Yu PR, Asavapibhop B, Asawatangtrakuldee C, Srimanobhas N, Boran F, Damarseckin S, Demiroglu ZS, Dolek F, Dumanoglu I, Eskut E, Guler Y, Guler EG, Hos I, Isik C, Kara O, Topaksu AK, Kiminsu U, Onengut G, Ozdemir K, Polatoz A, Simsek AE, Tali B, Tok UG, Turkcapar S, Zorbakir IS, Zorbilmez C, Isildak B, Karapinar G, Ocalan K, Yalvac M, Akgun B, Atakisi IO, Gülmez E, Kaya M, Kaya O, Özçelik Ö, Tekten S, Yetkin EA, Cakir A, Cankocak K, Komurcu Y, Sen S, Cerci S, Kaynak B, Ozkorucuklu S, Cerci DS, Grynyov B, Levchuk L, Anthony D, Bhal E, Bologna S, Brooke JJ, Bundock A, Clement E, Cussans D, Flacher H, Goldstein J, Heath GP, Heath HF, Holmberg ML, Kreczko L, Krikler B, Paramesvaran S, Nasr-Storey SSE, Smith VJ, Stylianou N, Pass KW, White R, Bell KW, Belyaev A, Brew C, Brown RM, Cockerill DJA, Cooke C, Ellis KV, Harder K, Harper S, Linacre J, Manolopoulos K, Newbold DM, Olaiya E, Petyt D, Reis T, Schuh T, Shepherd-Themistocleous CH, Tomalin IR, Williams T, Bainbridge R, Bloch P, Bonomally S, Borg J, Breeze S, Buchmuller O, Cepaitis V, Chahal GS, Colling D, Dauncey P, Davies G, Negra MD, Fayer S, Fedi G, Hall G, Hassanshahi MH, Iles G, Langford J, Lyons L, Magnan AM, Malik S, Martelli A, Monk DG, Nash J, Pesaresi M, Raymond DM, Richards A, Rose A, Scott E, Seez C, Shtipliyski A, Tapper A, Uchida K, Virdee T, Vojinovic M, Wardle N, Webb SN, Winterbottom D, Coldham K, Cole JE, Khan A, Kyberd P, Reid ID, Teodorescu L, Zahid S, Abdullin S, Brinkerhoff A, Caraway B, Dittmann J, Hatakeyama K, Kanuganti AR, McMaster B, Pastika N, Saunders M, Sawant S, Sutantawibul C, Wilson J, Bartek R, Dominguez A, Uniyal R, Hernandez AMV, Buccilli A, Cooper SI, Croce DD, Gleyzer SV, Henderson C, Perez CU, Rumerio P, West C, Akpinar A, Albert A, Arcaro D, Cosby C, Demiragli Z, Fontanesi E, Gastler D, Rohlf J, Salyer K, Sperka D, Spitzbart D, Suarez I, Tsatsos A, Yuan S, Zou D, Benelli G, Burkle B, Coubez X, Cutts D, Hadley M, Heintz U, Hogan JM, Landsberg G, Lau KT, Lukasik M, Luo J, Narain M, Sagir S, Usai E, Wong WY, Yan X, Yu D, Zhang W, Bonilla J, Brainerd C, Breedon R, De La Barca Sanchez MC, Chertok M, Conway J, Cox PT, Erbacher R, Haza G, Jensen F, Kukral O, Lander R, Mulhearn M, Pellett D, Regnery B, Taylor D, Yao Y, Zhang F, Bachtis M, Cousins R, Datta A, Hamilton D, Hauser J, Ignatenko M, Iqbal MA, Lam T, Nash WA, Regnard S, Saltzberg D, Stone B, Valuev V, Burt K, Chen Y, Clare R, Gary JW, Gordon M, Hanson G, Karapostoli G, Long OR, Manganelli N, Negrete MO, Si W, Wimpenny S, Zhang Y, Branson JG, Chang P, Cittolin S, Cooperstein S, Deelen N, Diaz D, Duarte J, Gerosa R, Giannini L, Gilbert D, Guiang J, Kansal R, Krutelyov V, Lee R, Letts J, Masciovecchio M, May S, Pieri M, Narayanan BVS, Sharma V, Tadel M, Vartak A, Würthwein F, Xiang Y, Yagil A, Amin N, Campagnari C, Citron M, Dorsett A, Dutta V, Incandela J, Kilpatrick M, Kim J, Marsh B, Mei H, Oshiro M, Quinnan M, Richman J, Sarica U, Setti F, Sheplock J, Stuart D, Wang S, Bornheim A, Cerri O, Dutta I, Lawhorn JM, Lu N, Mao J, Newman HB, Nguyen TQ, Spiropulu M, Vlimant JR, Wang C, Xie S, Zhang Z, Zhu RY, Alison J, An S, Andrews MB, Bryant P, Ferguson T, Harilal A, Liu C, Mudholkar T, Paulini M, Sanchez A, Terrill W, Cumalat JP, Ford WT, Hassani A, MacDonald E, Patel R, Perloff A, Savard C, Stenson K, Ulmer KA, Wagner SR, Alexander J, Bright-Thonney S, Cheng Y, Cranshaw DJ, Hogan S, Monroy J, Patterson JR, Quach D, Reichert J, Reid M, Ryd A, Sun W, Thom J, Wittich P, Zou R, Albrow M, Alyari M, Apollinari G, Apresyan A, Apyan A, Banerjee S, Bauerdick LAT, Berry D, Berryhill J, Bhat PC, Burkett K, Butler JN, Canepa A, Cerati GB, Cheung HWK, Chlebana F, Cremonesi M, Di Petrillo KF, Elvira VD, Feng Y, Freeman J, Gecse Z, Gray L, Green D, Grünendahl S, Gutsche O, Harris RM, Heller R, Herwig TC, Hirschauer J, Jayatilaka B, Jindariani S, Johnson M, Joshi U, Klijnsma T, Klima B, Kwok KHM, Lammel S, Lincoln D, Lipton R, Liu T, Madrid C, Maeshima K, Mantilla C, Mason D, McBride P, Merkel P, Mrenna S, Nahn S, Ngadiuba J, O’Dell V, Papadimitriou V, Pedro K, Pena C, Prokofyev O, Ravera F, Hall AR, Ristori L, Schneider B, Sexton-Kennedy E, Smith N, Soha A, Spalding WJ, Spiegel L, Strait J, Taylor L, Tkaczyk S, Tran NV, Uplegger L, Vaandering EW, Weber HA, Acosta D, Avery P, Bourilkov D, Cadamuro L, Cherepanov V, Errico F, Field RD, Guerrero D, Joshi BM, Kim M, Koenig E, Konigsberg J, Korytov A, Lo KH, Matchev K, Menendez N, Mitselmakher G, Madhu AM, Rawal N, Rosenzweig D, Rosenzweig S, Shi K, Sturdy J, Wang J, Yigitbasi E, Zuo X, Adams T, Askew A, Habibullah R, Hagopian V, Johnson KF, Khurana R, Kolberg T, Martinez G, Prosper H, Schiber C, Viazlo O, Yohay R, Zhang J, Baarmand MM, Butalla S, Elkafrawy T, Hohlmann M, Verma RK, Noonan D, Rahmani M, Yumiceva F, Adams MR, Gonzalez HB, Cavanaugh R, Chen X, Dittmer S, Evdokimov O, Gerber CE, Hangal DA, Hofman DJ, Merrit AH, Mills C, Oh G, Roy T, Rudrabhatla S, Tonjes MB, Varelas N, Viinikainen J, Wang X, Wu Z, Ye Z, Alhusseini M, Dilsiz K, Gandrajula RP, Köseyan OK, Merlo JP, Mestvirishvili A, Nachtman J, Ogul H, Onel Y, Penzo A, Snyder C, Tiras E, Amram O, Blumenfeld B, Corcodilos L, Davis J, Eminizer M, Gritsan AV, Kyriacou S, Maksimovic P, Roskes J, Swartz M, Vámi TÁ, Abreu A, Anguiano J, Barrera CB, Baringer P, Bean A, Bylinkin A, Flowers Z, Isidori T, Khalil S, King J, Krintiras G, Kropivnitskaya A, Lazarovits M, Lindsey C, Marquez J, Minafra N, Murray M, Nickel M, Rogan C, Royon C, Salvatico R, Sanders S, Schmitz E, Smith C, Takaki JDT, Wang Q, Warner Z, Williams J, Wilson G, Duric S, Ivanov A, Kaadze K, Kim D, Maravin Y, Mitchell T, Modak A, Nam K, Rebassoo F, Wright D, Adams E, Baden A, Baron O, Belloni A, Eno SC, Hadley NJ, Jabeen S, Kellogg RG, Koeth T, Mignerey AC, Nabili S, Palmer C, Seidel M, Skuja A, Wang L, Wong K, Abercrombie D, Andreassi G, Bi R, Brandt S, Busza W, Cali IA, Chen Y, D’Alfonso M, Eysermans J, Freer C, Gomez-Ceballos G, Goncharov M, Harris P, Hu M, Klute M, Kovalskyi D, Krupa J, Lee YJ, Maier B, Mironov C, Paus C, Rankin D, Roland C, Roland G, Shi Z, Stephans GSF, Wang J, Wang Z, Wyslouch B, Chatterjee RM, Evans A, Hansen P, Hiltbrand J, Jain S, Krohn M, Kubota Y, Mans J, Revering M, Rusack R, Saradhy R, Schroeder N, Strobbe N, Wadud MA, Bloom K, Bryson M, Chauhan S, Claes DR, Fangmeier C, Finco L, Golf F, Joo C, Kravchenko I, Musich M, Reed I, Siado JE, Snow GR, Tabb W, Yan F, Zecchinelli AG, Agarwal G, Bandyopadhyay H, Hay L, Iashvili I, Kharchilava A, McLean C, Nguyen D, Pekkanen J, Rappoccio S, Williams A, Alverson G, Barberis E, Haddad Y, Hortiangtham A, Li J, Madigan G, Marzocchi B, Morse DM, Nguyen V, Orimoto T, Parker A, Skinnari L, Tishelman-Charny A, Wamorkar T, Wang B, Wisecarver A, Wood D, Bhattacharya S, Bueghly J, Chen Z, Gilbert A, Gunter T, Hahn KA, Liu Y, Odell N, Schmitt MH, Velasco M, Band R, Bucci R, Das A, Dev N, Goldouzian R, Hildreth M, Anampa KH, Jessop C, Lannon K, Lawrence J, Loukas N, Lutton L, Marinelli N, Mcalister I, McCauley T, Mcgrady C, Meng F, Mohrman K, Musienko Y, Ruchti R, Siddireddy P, Townsend A, Wayne M, Wightman A, Wolf M, Zarucki M, Zygala L, Bylsma B, Cardwell B, Durkin LS, Francis B, Hill C, Ornelas MN, Wei K, Winer BL, Yates BR, Addesa FM, Bonham B, Das P, Dezoort G, Elmer P, Frankenthal A, Greenberg B, Haubrich N, Higginbotham S, Kalogeropoulos A, Kopp G, Kwan S, Lange D, Lucchini MT, Marlow D, Mei K, Ojalvo I, Olsen J, Stickland D, Tully C, Malik S, Norberg S, Bakshi AS, Barnes VE, Chawla R, Das S, Gutay L, Jones M, Jung AW, Karmarkar S, Liu M, Negro G, Neumeister N, Paspalaki G, Peng CC, Piperov S, Purohit A, Schulte JF, Stojanovic M, Thieman J, Wang F, Xiao R, Xie W, Dolen J, Parashar N, Baty A, Decaro M, Dildick S, Ecklund KM, Freed S, Gardner P, Geurts FJM, Kumar A, Li W, Padley BP, Redjimi R, Shi W, Leiton AGS, Yang S, Zhang L, Zhang Y, Bodek A, de Barbaro P, Demina R, Dulemba JL, Fallon C, Ferbel T, Galanti M, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Ranken E, Taus R, Chiarito B, Chou JP, Gandrakota A, Gershtein Y, Halkiadakis E, Hart A, Heindl M, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Osherson M, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Wang H, Acharya H, Delannoy AG, Fiorendi S, Spanier S, Bouhali O, Dalchenko M, Delgado A, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo S, Malhotra S, Mueller R, Overton D, Rathjens D, Safonov A, Akchurin N, Damgov J, Hegde V, Kunori S, Lamichhane K, Lee SW, Mengke T, Muthumuni S, Peltola T, Volobouev I, Wang Z, Whitbeck A, Appelt E, Greene S, Gurrola A, Johns W, Melo A, Ni H, Padeken K, Romeo F, Sheldon P, Tuo S, Velkovska J, Arenton MW, Cox B, Cummings G, Hakala J, Hirosky R, Joyce M, Ledovskoy A, Li A, Neu C, Tannenwald B, White S, Wolfe E, Poudyal N, Black K, Bose T, Caillol C, Dasu S, De Bruyn I, Everaerts P, Fienga F, Galloni C, He H, Herndon M, Hervé A, Hussain U, Lanaro A, Loeliger A, Loveless R, Sreekala JM, Mallampalli A, Mohammadi A, Pinna D, Savin A, Shang V, Sharma V, Smith WH, Teague D, Trembath-Reichert S, Vetens W, Afanasiev S, Andreev V, Andreev Y, Aushev T, Azarkin M, Babaev A, Belyaev A, Blinov V, Boos E, Borshch V, Budkouski D, Bunichev V, Chadeeva M, Dermenev A, Dimova T, Dremin I, Dubinin M, Dudko L, Dydyshka Y, Epshteyn V, Gavrilov G, Gavrilov V, Gninenko S, Golovtcov V, Golubev N, Golutvin I, Gorbunov I, Ivanchenko V, Ivanov Y, Kachanov V, Kardapoltsev L, Karjavine V, Karneyeu A, Kim V, Kirakosyan M, Kirpichnikov D, Kirsanov M, Klyukhin V, Kodolova O, Konstantinov D, Korenkov V, Kozyrev A, Krasnikov N, Kuznetsova E, Lanev A, Lukina O, Lychkovskaya N, Makarenko V, Malakhov A, Matveev V, Mossolov V, Murzin V, Nikitenko A, Obraztsov S, Okhotnikov V, Oreshkin V, Ovtin I, Palichik V, Parygin P, Pashenkov A, Perelygin V, Perfilov M, Pivovarov G, Popov V, Popova E, Savina M, Savrin V, Seitova D, Selivanova D, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Slabospitskii S, Smirnov I, Smirnov V, Snigirev A, Sosnov D, Spiridonov A, Stepennov A, Sulimov V, Tcherniaev E, Terkulov A, Teryaev O, Tlisov D, Toms M, Toropin A, Uvarov L, Uzunian A, Vlasov E, Volkov S, Vorobyev A, Voytishin N, Yuldashev BS, Zarubin A, Zhemchugov E, Zhizhin I, Zhokin A. Measurement of the mass dependence of the transverse momentum of lepton pairs in Drell-Yan production in proton-proton collisions at s=13TeV. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2023; 83:628. [PMID: 37471210 PMCID: PMC10352449 DOI: 10.1140/epjc/s10052-023-11631-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 09/29/2022] [Indexed: 07/22/2023]
Abstract
The double differential cross sections of the Drell-Yan lepton pair (ℓ + ℓ - , dielectron or dimuon) production are measured as functions of the invariant mass m ℓ ℓ , transverse momentum p T ( ℓ ℓ ) , and φ η ∗ . The φ η ∗ observable, derived from angular measurements of the leptons and highly correlated with p T ( ℓ ℓ ) , is used to probe the low-p T ( ℓ ℓ ) region in a complementary way. Dilepton masses up to 1Te V are investigated. Additionally, a measurement is performed requiring at least one jet in the final state. To benefit from partial cancellation of the systematic uncertainty, the ratios of the differential cross sections for various m ℓ ℓ ranges to those in the Z mass peak interval are presented. The collected data correspond to an integrated luminosity of 36.3fb - 1 of proton-proton collisions recorded with the CMS detector at the LHC at a centre-of-mass energy of 13Te V . Measurements are compared with predictions based on perturbative quantum chromodynamics, including soft-gluon resummation.
Collapse
Grants
- Austrian Federal Ministry of Education, Science and Research
- Austrian Science Fund
- Belgian Fonds de la Recherche Scientifique
- Belgian Fonds voor Wetenschappelijk Onderzoek
- CNPq
- CAPES
- FAPERJ
- FAPERGS
- FAPESP
- Bulgarian Ministry of Education and Science
- Bulgarian National Science Fund
- CERN
- Chinese Academy of Sciences
- Ministry of Science and Technology
- Chinese National Natural Science Foundation of China
- Colombian Funding Agency (MINICIENCIAS)
- Croatian Ministry of Science, Education and Sport
- Croatian Science Foundation
- Research and Innovation Foundation
- SENESCYT
- Ministry of Education and Research
- Estonian Research Council via PRG780, PRG803, and PRG445
- European Regional Development Fund
- Academy of Finland
- Finnish Ministry of Education and Culture
- Helsinki Institute of Physics
- Institut National de Physique Nucléaire et de Physique des Particules
- Centre National de la Recherche Scientifique
- Commissariat à l’Énergie Atomique et aux Énergies Alternatives
- Bundesministerium für Bildung und Forschung
- Deutsche Forschungsgemeinschaft
- Helmholtz-Gemeinschaft Deutscher Forschungszentren
- General Secretariat for Research and Innovation
- National Research, Development and Innovation Office
- Department of Atomic Energy
- Department of Science and Technology
- Institute for Research in Fundamental Studies
- Science Foundation
- Istituto Nazionale di Fisica Nucleare
- Korean Ministry of Education, Science and Technology
- National Research Foundation of Korea (NRF)
- MES
- Lithuanian Academy of Sciences
- Ministry of Education
- University of Malaya
- BUAP
- CINVESTAV
- CONACYT
- LNS
- SEP
- UASLP
- MOS
- Ministry of Business, Innovation and Employment
- Pakistan Atomic Energy Commission
- Ministry of Educaton and Science
- National Science Centre
- Fundação para a Ciência e a Tecnologia, CERN/FIS-PAR/0025/2019 and CERN/FIS-INS/0032/2019
- JINR, Dubna
- Ministry of Education and Science of the Russian Federation
- Federal Agency of Atomic Energy of the Russian Federation
- Russian Academy of Sciences
- Russian Foundation for Basic Research
- National Research Center “Kurchatov Institute”
- Ministry of Education, Science and Technological Development of Serbia
- MCIN/AEI/10.13039/501100011033, ERDF “a way of making Europe”
- Fondo Europeo de Desarrollo Regional, Spain
- Plan de Ciencia, Tecnología e Innovación del Principado de Asturias
- MOSTR
- ETH Board
- ETH Zurich
- PSI
- SNF
- UniZH
- Canton Zurich
- SER
- Thailand Center of Excellence in Physics
- Institute for the Promotion of Teaching Science and Technology of Thailand
- Special Task Force for Activating Research
- National Science and Technology Development Agency of Thailand
- Scientific and Technical Research Council of Turkey
- Turkish Atomic Energy Authority
- National Academy of Sciences of Ukraine
- Science and Technology Facilities Council
- US Department of Energy
- US National Science Foundation
- Marie-Curie programme
- European Research Council and EPLANET (European Union)
- European Research Council/European Cooperation in Science and Technology), Action CA16108
- Individual
- Leventis Foundation
- Alfred P. Sloan Foundation
- Alexander von Humboldt Foundation
- Belgian Federal Science Policy Office
- Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium)
- Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium)
- Belgian Fonds de la Recherche Scientifique, “Excellence of Science - EOS” - be.h project n. 30820817
- Belgian Fonds voor Wetenschappelijk Onderzoek, “Excellence of Science - EOS” - be.h project n. 30820817
- Beijing Municipal Science & Technology Commission, No. Z191100007219010
- Ministry of Education, Youth and Sports (MEYS) of the Czech Republic
- Deutsche Forschungsgemeinschaft (DFG) under Germany’s Excellence Strategy – EXC 2121 “Quantum Universe” – 390833306
- Deutsche Forschungsgemeinschaft (DFG), project number 400140256 - GRK2497
- Hellenic Foundation for Research and Innovation, Project Number 2288
- Hungarian Academy of Sciences
- New National Excellence Program - ÚNKP, the NKFIH research grants K 124845, K 124850, K 128713, K 128786, K 129058, K 131991, K 133046, K 138136, K 143460, K 143477, 2020-2.2.1-ED-2021-00181, and TKP2021-NKTA-64
- Council of Scientific and Industrial Research, India
- Latvian Council of Science
- Ministy of Education and Science, project no. 2022/WK/14
- National Science Center, Opus 2021/41/B/ST2/01369 and 2021/43/B/ST2/01552
- Fundação para a Ciência e a Tecnologia, CEECIND/01334/2018
- National Priorities Research Program by Qatar National Research Fund
- Ministry of Science and Higher Education, project no. 0723-2020-0041 and FSWW-2020-0008
- Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2017-0765 and projects PID2020-113705RB, PID2020-113304RB, PID2020-116262RB and PID2020-113341RB-I00
- Programa Severo Ochoa del Principado de Asturias
- Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University (Thailand)
- CUAASC
- Kavli Foundation
- Nvidia Corporation
- Welch Foundation, contract C-1845
- Weston Havens Foundation
- Institut für Hochenergiephysik (HEPHY) using the Cloud Infrastructure Platform (CLIP), Vienna
- Inter-University Institute for High Energies, Brussels
- Université Catholique de Louvain, Louvain-la-Neuve
- São Paulo Research and Analysis Center, São Paulo
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro
- University of Sofia, Sofia
- Institute of High Energy Physics of the Chinese Academy of Sciences, Beijing
- National Institute of Chemical Physics and Biophysics, Tallinn
- Helsinki Institute of Physics, Helsinki
- Grille de Recherche d’Ile de France (GRIF), Institut de recherche sur les lois fondamentales de l’Univers, CEA, Université Paris-Saclay, Gif-sur-Yvette, France and Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris
- Institut de recherche sur les lois fondamentales de l’Univers, CEA, Université Paris-Saclay, Gif-sur-Yvette
- Institut national de physique nucléaire et de physique des particules, IN2P3, Villeurbanne
- Institut Pluridisciplinaire Hubert Curien (IPHC), Strasbourg
- Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau
- Deutsches Elektronen-Synchrotron, Hamburg
- Karlsruher Institut für Technologie, Karlsruhe
- RWTH Aachen University, Aachen
- University of Ioánnina, Ioánnina
- Wigner Research Centre for Physics, Budapest
- Tata Institute of Fundamental Research, Mumbai
- INFN CNAF, Bologna
- INFN Sezione di Bari, Università di Bari, Politecnico di Bari, Bari
- INFN Sezione di Pisa, Università di Pisa, Scuola Normale Superiore di Pisa, Pisa
- INFN Sezione di Roma, Sapienza Università di Roma, Rome
- INFN Sezione di Trieste, Università di Trieste, Trieste
- Laboratori Nazionali di Legnaro, Legnaro
- Kyungpook National University, Daegu
- National Centre for Physics, Quaid-I-Azam University, Islamabad
- Akademickie Centrum Komputerowe Cyfronet AGH, Krakow
- National Centre for Nuclear Research, Swierk
- Laboratório de Instrumentação e Física Experimental de Partículas, Lisboa
- Institute for High Energy Physics of National Research Centre ‘Kurchatov Institute’, Protvino
- Institute for Nuclear Research (INR) of the Russian Academy of Sciences, Troitsk
- Institute for Theoretical and Experimental Physics named by A.I. Alikhanov of NRC ’Kurchatov Institute’, Moscow
- Joint Institute for Nuclear Research, Dubna
- Korea Institute of Science and Technology Information (KISTI), Daejeon
- Centro de Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT), Madrid
- Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander
- Port d’Informació Científica, Bellaterra
- CERN, European Organization for Nuclear Research, Geneva
- CSCS - Swiss National Supercomputing Centre, Lugano
- National Center for High-performance Computing (NCHC), Hsinchu City
- Middle East Technical University, Physics Department, Ankara
- National Scientific Center, Kharkov Institute of Physics and Technology, Kharkov
- GridPP, Brunel University, Uxbridge
- GridPP, Imperial College, London
- GridPP, Queen Mary University of London, London
- GridPP, Royal Holloway, University of London, London
- GridPP, Rutherford Appleton Laboratory, Didcot
- GridPP, University of Bristol, Bristol
- GridPP, University of Glasgow, Glasgow
- Baylor University, Waco
- California Institute of Technology, Pasadena
- Fermi National Accelerator Laboratory, Batavia
- Massachusetts Institute of Technology, Cambridge
- National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility, Berkeley
- Open Science Grid (OSG) Consortium
- Pittsburgh Supercomputing Center (PSC), Pittsburgh
- Purdue University, West Lafayette
- Texas Advanced Computing Center (TACC), Austin
- University of California, San Diego, La Jolla
- University of Colorado Boulder, Boulder
- University of Florida, Gainesville
- University of Nebraska-Lincoln, Lincoln
- University of Wisconsin - Madison, Madison
- Vanderbilt University, Nashville
Collapse
|
156
|
Wang H, He Q, Liu D, Deng XZ, Ma J, Xie LN, Sun ZL, Liu C, Zhao RR, Lu K, Chu XX, Gao N, Wei HC, Sun YH, Zhong YP, Xing LJ, Zhang HY, Zhang H, Xu WW, Li ZJ. [Efficacy and safety of bendamustine-rituximab combination therapy for newly diagnosed indolent B-cell non-Hodgkin's lymphoma and elderly mantle cell lymphoma: a multi-center prospective phase II clinical trial in China]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2023; 44:550-554. [PMID: 37749033 PMCID: PMC10509620 DOI: 10.3760/cma.j.issn.0253-2727.2023.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Indexed: 09/27/2023]
Abstract
Objectives: This study aimed to assess the efficacy and safety of bendamustine in combination with rituximab (BR regimen) for the treatment of newly diagnosed indolent B-cell non-Hodgkin's lymphoma (B-iNHL) and elderly mantle cell lymphoma (eMCL) . Methods: From December 1, 2020 to September 10, 2022, a multi-center prospective study was conducted across ten Grade A tertiary hospitals in Shandong Province, China. The BR regimen was administered to evaluate its efficacy and safety in newly diagnosed B-iNHL and eMCL patients, and all completed at least four cycles of induction therapy. Results: The 72 enrolled patients with B-iNHL or MCL were aged 24-74 years, with a median age of 55 years. Eastern Cooperative Oncology Group (ECOG) performance status scores of 0-1 were observed in 76.4% of patients, while 23.6% had scores of 2. Disease distribution included follicular lymphoma (FL) (51.4% ), marginal zone lymphoma (MZL) (33.3% ), eMCL (11.1% ), and the unknown subtype (4.2% ). According to the Ann Arbor staging system, 16.7% and 65.3% of patients were diagnosed with stage Ⅲ and stage Ⅳ lymphomas, respectively. Following four cycles of BR induction therapy, the overall response rate was 98.6%, with a complete response (CR) rate of 83.3% and a partial response (PR) rate of 15.3%. Only one eMCL patient experienced disease progression during treatment, and only one FL patient experienced a relapse. Even when evaluated using CT alone, the CR rate was 63.9%, considering the differences between PET/CT and CT assessments. The median follow-up duration was 11 months (range: 4-22), with a PFS rate of 96.8% and an OS rate of 100.0%. The main hematologic adverse reactions included grade 3-4 leukopenia (27.8%, with febrile neutropenia observed in 8.3% of patients), grade 3-4 lymphopenia (23.6% ), grade 3-4 anemia (5.6% ), and grade 3-4 thrombocytopenia (4.2% ). The main non-hematologic adverse reactions such as fatigue, nausea/vomiting, rash, and infections occurred in less than 20.0% of patients. Conclusion: Within the scope of this clinical trial conducted in China, the BR regimen demonstrated efficacy and safety in treating newly diagnosed B-iNHL and eMCL patients.
Collapse
|
157
|
Fu M, Yang L, Wang H, Chen Y, Chen X, Hu Q, Sun H. Research progress into adipose tissue macrophages and insulin resistance. Physiol Res 2023; 72:287-299. [PMID: 37449743 PMCID: PMC10668993 DOI: 10.33549/physiolres.935046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 03/07/2023] [Indexed: 08/26/2023] Open
Abstract
In recent years, there has been an increasing incidence of metabolic syndrome, type 2 diabetes, and cardiovascular events related to insulin resistance. As one of the target organs for insulin, adipose tissue is essential for maintaining in vivo immune homeostasis and metabolic regulation. Currently, the specific adipose tissue mechanisms involved in insulin resistance remain incompletely understood. There is increasing evidence that the process of insulin resistance is mostly accompanied by a dramatic increase in the number and phenotypic changes of adipose tissue macrophages (ATMs). In this review, we discuss the origins and functions of ATMs, some regulatory factors of ATM phenotypes, and the mechanisms through which ATMs mediate insulin resistance. We explore how ATM phenotypes contribute to insulin resistance in adipose tissue. We expect that modulation of ATM phenotypes will provide a novel strategy for the treatment of diseases associated with insulin resistance.
Collapse
|
158
|
Wang H, Jiang HY, Li Y, Li Q, Xi JN, Zhao ZQ. [Application of electrical impedance tomography in pulmonary rehabilitation]. ZHONGHUA JIE HE HE HU XI ZA ZHI = ZHONGHUA JIEHE HE HUXI ZAZHI = CHINESE JOURNAL OF TUBERCULOSIS AND RESPIRATORY DISEASES 2023; 46:714-719. [PMID: 37402664 DOI: 10.3760/cma.j.cn112147-20221023-00839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/06/2023]
Abstract
Pulmonary rehabilitation is a comprehensive and individualized intervention for patients suffering from respiratory dysfunction due to various diseases. This approach has been highly valued and implemented by clinical medical professionals. However, the lack of equipment and real-time monitoring of ventilatory lung function during pulmonary rehabilitation treatment is a challenge. In addition, there is a need for improved methods that can directly guide physiotherapists to provide precise treatment. Electrical impedance tomography (EIT) is a novel medical imaging technology that allows real-time monitoring of lung ventilation status. It is currently being translated from basic research into clinical applications and is widely used in respiratory disease, particularly in critical care respiratory management. However, there is a lack of reports on pulmonary rehabilitation guidance and outcome evaluation. This article aimed to provide a comprehensive review of this field, with the aim of generating more ideas for clinical research and further improving individualized treatment in the field of pulmonary rehabilitation.
Collapse
|
159
|
Hao X, Li CL, Xie HX, Yang F, Jiang CJ, Du ZT, Wang XM, Wang H, Hei FL, Hou XT. [Risk factors associated with in-hospital mortality in patients requiring extracorporeal membrane oxygenation in the perioperative period of heart transplantation]. ZHONGHUA YI XUE ZA ZHI 2023; 103:1986-1992. [PMID: 37438080 DOI: 10.3760/cma.j.cn112137-20230330-00516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/14/2023]
Abstract
Objective: To explore risk factors associated with in-hospital mortality in patients requiring extracorporeal membrane oxygenation (ECMO) in the perioperative period of heart transplantation. Methods: The data of ECMO cases in the perioperative period of heart transplantation from the Chinese Society of Extracorporeal Life Support (CSECLS) between January 2017 and December 2021 were retrospectively analyzed. These patients were divided into the survival group and non-survival group according to their outcomes at discharge. The demographics, indications and complications of ECMO between the two groups were compared, and the related risk factors of poor prognosis were analyzed. Results: A total of 77 patients were included in the study, including 67 males and 10 females, with a median age [M(Q1, Q3)] of 48 (36, 59) years. Sixty-three patients (81.8%) were successfully withdrawn from the ECMO and 46 patients (59.7%) survived to discharge. The median ECMO time was 139 (92, 253) hours. Compared with the survival group, the non-survival group (n=31) had more patients with chronic kidney disease before surgery [22.6% (7/31) vs 4.3% (2/46), P=0.034], and a higher proportion of continuous renal replacement therapy (CRRT) during ECMO [74.2% (23/31) vs 50.0% (23/46), P=0.034]. Moreover, the non-survival group had longer duration of extracorporeal circulation [262 (195, 312) vs 201 (155, 261) min, P=0.056] and higher lactate value in the first 24 hours of ECMO support [2.7 (2.1, 4.7) vs 2.3 (1.4, 3.8) mmol/L, P=0.060], but the differences were not statistically significant. Multivariate logistic regression analysis showed that perioperative application of CRRT was an independent risk factor for poor prognosis in ECMO patients during heart transplantation (OR=19.345, 95%CI: 1.209-309.440, P=0.036). Conclusion: CRRT treatment during ECMO is a risk factor for in-hospital mortality in patients undergoing heart transplantation.
Collapse
|
160
|
Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, Damanakis K, Dragicevic M, Valle AED, Frühwirth R, Jeitler M, Krammer N, Lechner L, Liko D, Mikulec I, Paulitsch P, Pitters FM, Schieck J, Schöfbeck R, Schwarz D, Templ S, Waltenberger W, Wulz CE, Darwish MR, De Wolf EA, Janssen T, Kello T, Lelek A, Sfar HR, Mechelen PV, Putte SV, Remortel NV, Bols ES, D’Hondt J, Delcourt M, Faham HE, Lowette S, Moortgat S, Morton A, Müller D, Sahasransu AR, Tavernier S, Doninck WV, Vannerom D, Beghin D, Bilin B, Clerbaux B, De Lentdecker G, Favart L, Kalsi AK, Lee K, Mahdavikhorrami M, Makarenko I, Moureaux L, Paredes S, Pétré L, Popov A, Postiau N, Starling E, Thomas L, Bemden MV, Velde CV, Vanlaer P, Cornelis T, Dobur D, Knolle J, Lambrecht L, Mestdach G, Niedziela M, Rendón C, Roskas C, Samalan A, Skovpen K, Tytgat M, Vermassen B, Wezenbeek L, Benecke A, Bethani A, Bruno G, Bury F, Caputo C, David P, Delaere C, Donertas IS, Giammanco A, Jaffel K, Jain S, Lemaitre V, Mondal K, Prisciandaro J, Taliercio A, Teklishyn M, Tran TT, Vischia P, Wertz S, Alves GA, Hensel C, Moraes A, Teles PR, Júnior WLA, Pereira MAG, Filho MBF, Malbouisson HB, Carvalho W, Chinellato J, Da Costa EM, Da Silveira GG, De Jesus Damiao D, Sousa VDS, De Souza SF, Herrera CM, Amarilo KM, Mundim L, Nogima H, Santoro A, Amaral SMSD, Sznajder A, Thiel M, Da Silva De Araujo FT, Pereira AV, Bernardes CA, Calligaris L, Tomei TRFP, Gregores EM, Lemos DS, Mercadante PG, Novaes SF, Padula SS, Aleksandrov A, Antchev G, Hadjiiska R, Iaydjiev P, Misheva M, Rodozov M, Shopova M, Sultanov G, Dimitrov A, Ivanov T, Litov L, Pavlov B, Petkov P, Petrov A, Cheng T, Javaid T, Mittal M, Yuan L, Ahmad M, Bauer G, Dozen C, Hu Z, Martins J, Wang Y, Yi K, Chapon E, Chen GM, Chen HS, Chen M, Iemmi F, Kapoor A, Leggat D, Liao H, Liu ZA, Milosevic V, Monti F, Sharma R, Tao J, Thomas-Wilsker J, Wang J, Zhang H, Zhao J, Agapitos A, An Y, Ban Y, Chen C, Levin A, Li Q, Lyu X, Mao Y, Qian SJ, Wang D, Xiao J, Yang H, Lu M, You Z, Gao X, Okawa H, Zhang Y, Lin Z, Xiao M, Avila C, Cabrera A, Florez C, Fraga J, Guisao JM, Ramirez F, Alvarez JDR, Giljanovic D, Godinovic N, Lelas D, Puljak I, Antunovic Z, Kovac M, Sculac T, Brigljevic V, Ferencek D, Majumder D, Roguljic M, Starodumov A, Susa T, Attikis A, Christoforou K, Ioannou A, Kole G, Kolosova M, Konstantinou S, Mousa J, Nicolaou C, Ptochos F, Razis PA, Rykaczewski H, Saka H, Finger M, Finger M, Kveton A, Ayala E, Jarrin EC, Abdelalim AA, Khalil S, Mahmoud MA, Mohammed Y, Bhowmik S, Dewanjee RK, Ehataht K, Kadastik M, Nandan S, Nielsen C, Pata J, Raidal M, Tani L, Veelken C, Eerola P, Kirschenmann H, Osterberg K, Voutilainen M, Bharthuar S, Brücken E, Garcia F, Havukainen J, Kim MS, Kinnunen R, Lampén T, Lassila-Perini K, Lehti S, Lindén T, Lotti M, Martikainen L, Myllymäki M, Ott J, Siikonen H, Tuominen E, Tuominiemi J, Luukka P, Petrow H, Tuuva T, Amendola C, Besancon M, Couderc F, Dejardin M, Denegri D, Faure JL, Ferri F, Ganjour S, Gras P, de Monchenault GH, Jarry P, Lenzi B, Locci E, Malcles J, Rander J, Rosowsky A, Sahin M, Savoy-Navarro A, Titov M, Yu GB, Ahuja S, Beaudette F, Bonanomi M, Perraguin AB, Busson P, Cappati A, Charlot C, Davignon O, Diab B, Falmagne G, Ghosh S, de Cassagnac RG, Hakimi A, Kucher I, Motta J, Nguyen M, Ochando C, Paganini P, Rembser J, Salerno R, Sarkar U, Sauvan JB, Sirois Y, Tarabini A, Zabi A, Zghiche A, Agram JL, Andrea J, Apparu D, Bloch D, Bourgatte G, Brom JM, Chabert EC, Collard C, Darej D, Fontaine JC, Goerlach U, Grimault C, Bihan ACL, Nibigira E, Hove PV, Asilar E, Beauceron S, Bernet C, Boudoul G, Camen C, Carle A, Chanon N, Contardo D, Depasse P, Mamouni HE, Fay J, Gascon S, Gouzevitch M, Ille B, Laktineh IB, Lattaud H, Lesauvage A, Lethuillier M, Mirabito L, Perries S, Shchablo K, Sordini V, Torterotot L, Touquet G, Donckt MV, Viret S, Lomidze I, Toriashvili T, Tsamalaidze Z, Botta V, Feld L, Klein K, Lipinski M, Meuser D, Pauls A, Röwert N, Schulz J, Teroerde M, Dodonova A, Eliseev D, Erdmann M, Fackeldey P, Fischer B, Hebbeker T, Hoepfner K, Ivone F, Mastrolorenzo L, Merschmeyer M, Meyer A, Mocellin G, Mondal S, Mukherjee S, Noll D, Novak A, Pozdnyakov A, Rath Y, Reithler H, Schmidt A, Schuler SC, Sharma A, Vigilante L, Wiedenbeck S, Zaleski S, Dziwok C, Flügge G, Ahmad WH, Hlushchenko O, Kress T, Nowack A, Pooth O, Roy D, Stahl A, Ziemons T, Zotz A, Petersen HA, Martin MA, Asmuss P, Baxter S, Bayatmakou M, Behnke O, Martínez AB, Bhattacharya S, Anuar AAB, Blekman F, Borras K, Brunner D, Campbell A, Cardini A, Cheng C, Colombina F, Rodríguez SC, Silva GC, Danilov V, De Silva M, Didukh L, Eckerlin G, Eckstein D, Banos LIE, Filatov O, Gallo E, Geiser A, Giraldi A, Grohsjean A, Guthoff M, Jafari A, Jomhari NZ, Kasem A, Kasemann M, Kaveh H, Kleinwort C, Kogler R, Krücker D, Lange W, Lipka K, Lohmann W, Mankel R, Melzer-Pellmann IA, Morentin MM, Metwally J, Meyer AB, Meyer M, Mnich J, Mussgiller A, Nürnberg A, Otarid Y, Adán DP, Pitzl D, Raspereza A, Lopes BR, Rübenach J, Saggio A, Saibel A, Savitskyi M, Scham M, Scheurer V, Schnake S, Schütze P, Schwanenberger C, Shchedrolosiev M, Ricardo RES, Stafford D, Tonon N, De Klundert MV, Vazzoler F, Walsh R, Walter D, Wang Q, Wen Y, Wichmann K, Wiens L, Wissing C, Wuchterl S, Aggleton R, Albrecht S, Bein S, Benato L, Connor P, De Leo K, Eich M, Feindt F, Fröhlich A, Garbers C, Garutti E, Gunnellini P, Hajheidari M, Haller J, Hinzmann A, Kasieczka G, Klanner R, Kramer T, Kutzner V, Lange J, Lange T, Lobanov A, Malara A, Mehta A, Nigamova A, Rodriguez KJP, Rieger M, Rieger O, Schleper P, Schröder M, Schwandt J, Sonneveld J, Stadie H, Steinbrück G, Tews A, Zoi I, Bechtel J, Brommer S, Burkart M, Butz E, Caspart R, Chwalek T, De Boer W, Dierlamm A, Droll A, Morabit KE, Faltermann N, Giffels M, Gosewisch JO, Gottmann A, Hartmann F, Heidecker C, Husemann U, Keicher P, Koppenhöfer R, Maier S, Metzler M, Mitra S, Müller T, Neukum M, Quast G, Rabbertz K, Rauser J, Savoiu D, Schnepf M, Seith D, Shvetsov I, Simonis HJ, Ulrich R, Linden JVD, Cube RFV, Wassmer M, Weber M, Wieland S, Wolf R, Wozniewski S, Wunsch S, Anagnostou G, Daskalakis G, Kyriakis A, Stakia A, Diamantopoulou M, Karasavvas D, Kontaxakis P, Koraka CK, Manousakis-Katsikakis A, Panagiotou A, Papavergou I, Saoulidou N, Theofilatos K, Tziaferi E, Vellidis K, Vourliotis E, Bakas G, Kousouris K, Papakrivopoulos I, Tsipolitis G, Zacharopoulou A, Adamidis K, Bestintzanos I, Evangelou I, Foudas C, Gianneios P, Katsoulis P, Kokkas P, Manthos N, Papadopoulos I, Strologas J, Csanád M, Farkas K, Gadallah MMA, Lökös S, Major P, Mandal K, Pásztor G, Rádl AJ, Surányi O, Veres GI, Bartók M, Bencze G, Hajdu C, Horvath D, Sikler F, Veszpremi V, Czellar S, Fasanella D, Fienga F, Karancsi J, Molnar J, Szillasi Z, Teyssier D, Raics P, Trocsanyi ZL, Ujvari B, Csorgo T, Nemes F, Novak T, Bansal S, Beri SB, Bhatnagar V, Chaudhary G, Chauhan S, Dhingra N, Gupta R, Kaur A, Kaur H, Kaur M, Kumari P, Meena M, Sandeep K, Singh JB, Virdi AK, Ahmed A, Bhardwaj A, Choudhary BC, Gola M, Keshri S, Kumar A, Naimuddin M, Priyanka P, Ranjan K, Shah A, Bharti M, Bhattacharya R, Bhattacharya S, Bhowmik D, Dutta S, Dutta S, Gomber B, Maity M, Palit P, Rout PK, Saha G, Sahu B, Sarkar S, Sharan M, Behera PK, Behera SC, Kalbhor P, Komaragiri JR, Kumar D, Muhammad A, Panwar L, Pradhan R, Pujahari PR, Sharma A, Sikdar AK, Tiwari PC, Naskar K, Aziz T, Dugad S, Kumar M, Mohanty GB, Banerjee S, Chudasama R, Guchait M, Karmakar S, Kumar S, Majumder G, Mazumdar K, Mukherjee S, Bahinipati S, Kar C, Mal P, Mishra T, Bindhu VKMN, Nayak A, Saha P, Sur N, Swain SK, Vats D, Alpana A, Dube S, Kansal B, Laha A, Pandey S, Rastogi A, Sharma S, Bakhshiansohi H, Khazaie E, Zeinali M, Chenarani S, Etesami SM, Khakzad M, Najafabadi MM, Grunewald M, Abbrescia M, Aly R, Aruta C, Colaleo A, Creanza D, De Filippis N, De Palma M, Florio AD, Pilato AD, Elmetenawee W, Errico F, Fiore L, Gelmi A, Gul M, Iaselli G, Ince M, Lezki S, Maggi G, Maggi M, Margjeka I, Mastrapasqua V, My S, Nuzzo S, Pellecchia A, Pompili A, Pugliese G, Ramos D, Ranieri A, Selvaggi G, Silvestris L, Simone FM, Sözbilir Ü, Venditti R, Verwilligen P, Abbiendi G, Battilana C, Bonacorsi D, Borgonovi L, Brigliadori L, Campanini R, Capiluppi P, Castro A, Cavallo FR, Ciocca C, Cuffiani M, Dallavalle GM, Diotalevi T, Fabbri F, Fanfani A, Giacomelli P, Giommi L, Grandi C, Guiducci L, Meo SL, Lunerti L, Marcellini S, Masetti G, Navarria FL, Perrottas A, Primavera F, Rossi AM, Rovelli T, Siroli GP, Albergo S, Costa S, Mattia AD, Potenza R, Tricomi A, Tuve C, Barbagli G, Cassese A, Ceccarelli R, Ciulli V, Civinini C, D’Alessandro R, Focardi E, Latino G, Lenzi P, Lizzo M, Meschini M, Paoletti S, Seidita R, Sguazzoni G, Viliani L, Benussi L, Bianco S, Piccolo D, Bozzo M, Ferro F, Mulargia R, Robutti E, Tosi S, Benaglia A, Boldrini G, Brivio F, Cetorelli F, De Guio F, Dinardo ME, Dini P, Gennai S, Ghezzi A, Govoni P, Guzzi L, Lucchini MT, Malberti M, Malvezzi S, Massironi A, Menasce D, Moroni L, Paganoni M, Pedrini D, Pinolini BS, Ragazzi S, Redaelli N, de Fatis TT, Valsecchi D, Zuolo D, Buontempo S, Carnevali F, Cavallo N, De Iorio A, Fabozzi F, Iorio AOM, Lista L, Meola S, Paolucci P, Rossi B, Sciacca C, Azzi P, Bacchetta N, Bisello D, Bortignon P, Bragagnolo A, Carlin R, Checchia P, Dorigo T, Dosselli U, Gasparini F, Gasparini U, Grosso G, Hoh SY, Layer L, Lusiani E, Margoni M, Meneguzzo AT, Pazzini J, Ronchese P, Rossin R, Simonetto F, Strong G, Tosi M, Yarar H, Zanetti M, Zotto P, Zucchetta A, Zumerle G, Aimè C, Braghieri A, Calzaferri S, Fiorina D, Montagna P, Ratti SP, Re V, Riccardi C, Salvini P, Vai I, Vitulo P, Asenov P, Bilei GM, Ciangottini D, Fanò L, Magherini M, Mantovani G, Mariani V, Menichelli M, Moscatelli F, Piccinelli A, Presilla M, Rossi A, Santocchia A, Spiga D, Tedeschi T, Azzurri P, Bagliesi G, Bertacchi V, Bianchini L, Boccali T, Bossini E, Castaldi R, Ciocci MA, D’Amante V, Dell’Orso R, Domenico MRD, Donato S, Giassi A, Ligabue F, Manca E, Mandorli G, Figueiredo DM, Messineo A, Musich M, Palla F, Parolia S, Ramirez-Sanchez G, Rizzi A, Rolandi G, Chowdhury SR, Scribano A, Shafiei N, Spagnolo P, Tenchini R, Tonelli G, Turini N, Venturi A, Verdini PG, Barria P, Campana M, Cavallari F, Re DD, Marco ED, Diemoz M, Longo E, Meridiani P, Organtini G, Pandolfi F, Paramatti R, Quaranta C, Rahatlou S, Rovelli C, Santanastasio F, Soffi L, Tramontano R, Amapane N, Arcidiacono R, Argiro S, Arneodo M, Bartosik N, Bellan R, Bellora A, Antequera JB, Biino C, Cartiglia N, Costa M, Covarelli R, Demaria N, Kiani B, Legger F, Mariotti C, Maselli S, Migliore E, Monteil E, Monteno M, Obertino MM, Ortona G, Pacher L, Pastrone N, Pelliccioni M, Ruspa M, Shchelina K, Siviero F, Sola V, Solano A, Soldi D, Staiano A, Tornago M, Trocino D, Vagnerini A, Belforte S, Candelise V, Casarsa M, Cossutti F, Da Rold A, Ricca GD, Sorrentino G, Dogra S, Huh C, Kim B, Kim DH, Kim GN, Kim J, Lee J, Lee SW, Moon CS, Oh YD, Pak SI, Sekmen S, Yang YC, Kim H, Moon DH, Francois B, Kim TJ, Park J, Cho S, Choi S, Hong B, Lee K, Lee KS, Lim J, Park J, Park SK, Yoo J, Goh J, Gurtu A, Kim HS, Kim Y, Almond J, Bhyun JH, Choi J, Jeon S, Kim J, Kim JS, Ko S, Kwon H, Lee H, Lee S, Oh BH, Oh M, Oh SB, Seo H, Yang UK, Yoon I, Jang W, Kang DY, Kang Y, Kim S, Ko B, Lee JSH, Lee Y, Merlin JA, Park IC, Roh Y, Ryu MS, Song D, Watson IJ, Yang S, Ha S, Yoo HD, Choi M, Lee H, Lee Y, Yu I, Beyrouthy T, Maghrbi Y, Dreimanis K, Veckalns V, Ambrozas M, De Oliveira ACA, Juodagalvis A, Rinkevicius A, Tamulaitis G, Norjoharuddeen NB, Zolkapli Z, Benitez JF, Hernandez AC, Coello ML, Quijada JAM, Sehrawat A, Palomo LV, Ayala G, Castilla-Valdez H, De La Cruz-Burelo E, La Cruz IHD, Lopez-Fernandez R, Herrera CAM, Navarro DAP, Reyes-Almanza R, Hernández AS, Moreno SC, Barrera CO, Valencia FV, Pedraza I, Ibarguen HAS, Estrada CU, Mijuskovic J, Raicevic N, Krofcheck D, Butler PH, Ahmad A, Asghar MI, Awais A, Awan MIM, Hoorani HR, Khan WA, Shah MA, Shoaib M, Waqas M, Avati V, Grzanka L, Malawski M, Bialkowska H, Bluj M, Boimska B, Górski M, Kazana M, Szleper M, Zalewski P, Bunkowski K, Doroba K, Kalinowski A, Konecki M, Krolikowski J, Araujo M, Bargassa P, Bastos D, Boletti A, Faccioli P, Gallinaro M, Hollar J, Leonardo N, Niknejad T, Pisano M, Seixas J, Toldaiev O, Varela J, Adzic P, Dordevic M, Milenovic P, Milosevic J, Aguilar-Benitez M, Maestre JA, Fernández AÁ, Bachiller I, Luna MB, Bedoya CF, Montoya CAC, Cepeda M, Cerrada M, Colino N, De La Cruz B, Peris AD, Ramos JPF, Flix J, Fouz MC, Lopez OG, Lopez SG, Hernandez JM, Josa MI, Holgado JL, Moran D, Tobar ÁN, Dengra CP, Yzquierdo APC, Pelayo JP, Redondo I, Romero L, Navas SS, Gómez LU, Willmott C, de Trocóniz JF, Gonzalez BA, Cuevas J, Erice C, Menendez JF, Folgueras S, Caballero IG, Fernández JRG, Cortezon EP, Álvarez CR, Bouza VR, Rodríguez AS, Trapote A, Trevisani N, Villalba CV, Cifuentes JAB, Cabrillo IJ, Calderon A, Campderros JD, Fernandez M, Madrazo CF, Manteca PJF, Alonso AG, Gomez G, Rivero CM, Arbol PMRD, Matorras F, Cuevas PM, Gomez JP, Prieels C, Ruiz-Jimeno A, Scodellaro L, Vila I, Garcia JMV, Jayananda MK, Kailasapathy B, Sonnadara DUJ, Wickramarathna DDC, Dharmaratna WGD, Liyanage K, Perera N, Wickramage N, Aarrestad TK, Abbaneo D, Alimena J, Auffray E, Auzinger G, Baechler J, Baillon P, Barney D, Bendavid J, Bianco M, Bocci A, Caillol C, Camporesi T, Garrido MC, Cerminara G, Chernyavskaya N, Chhibra SS, Choudhury S, Cipriani M, Cristella L, d’Enterria D, Dabrowski A, David A, De Roeck A, Defranchis MM, Deile M, Dobson M, Dünser M, Dupont N, Elliott-Peisert A, Emriskova N, Fallavollita F, Florent A, Forthomme L, Franzoni G, Funk W, Ghosh S, Giani S, Gigi D, Gill K, Glege F, Gouskos L, Haranko M, Hegeman J, Innocente V, James T, Janot P, Kaspar J, Kieseler J, Komm M, Kratochwil N, Lange C, Laurila S, Lecoq P, Lintuluoto A, Long K, Lourenço C, Maier B, Malgeri L, Mallios S, Mannelli M, Marini AC, Meijers F, Mersi S, Meschi E, Moortgat F, Mulders M, Orfanelli S, Orsini L, Pantaleo F, Perez E, Peruzzi M, Petrilli A, Petrucciani G, Pfeiffer A, Pierini M, Piparo D, Pitt M, Qu H, Quast T, Rabady D, Racz A, Gutiérrez GR, Rovere M, Sakulin H, Salfeld-Nebgen J, Scarfi S, Schäfer C, Schwick C, Selvaggi M, Sharma A, Silva P, Snoeys W, Sphicas P, Summers S, Tatar K, Tavolaro VR, Treille D, Tropea P, Tsirou A, Wanczyk J, Wozniak KA, Zeuner WD, Caminada L, Ebrahimi A, Erdmann W, Horisberger R, Ingram Q, Kaestli HC, Kotlinski D, Missiroli M, Noehte L, Rohe T, Androsov K, Backhaus M, Berger P, Calandri A, De Cosa A, Dissertori G, Dittmar M, Donegà M, Dorfer C, Eble F, Gedia K, Glessgen F, Espinosa TAG, Grab C, Hits D, Lustermann W, Lyon AM, Manzoni RA, Marchese L, Perez CM, Meinhard MT, Nessi-Tedaldi F, Niedziela J, Pauss F, Perovic V, Pigazzini S, Ratti MG, Reichmann M, Reissel C, Reitenspiess T, Ristic B, Ruini D, Becerra DAS, Stampf V, Steggemann J, Wallny R, Amsler C, Bärtschi P, Botta C, Brzhechko D, Canelli MF, Cormier K, De Wit A, Burgo RD, Heikkilä JK, Huwiler M, Jin W, Jofrehei A, Kilminster B, Leontsinis S, Liechti SP, Macchiolo A, Meiring P, Mikuni VM, Molinatti U, Neutelings I, Reimers A, Robmann P, Cruz SS, Schweiger K, Senger M, Takahashi Y, Adloff C, Kuo CM, Lin W, Roy A, Sarkar T, Yu SS, Ceard L, Chao Y, Chen KF, Chen PH, Chen PS, Cheng H, Hou WS, Li Y, Lu RS, Paganis E, Psallidas A, Steen A, Wu HY, Yazgan E, Yu PR, Asavapibhop B, Asawatangtrakuldee C, Srimanobhas N, Boran F, Damarseckin S, Demiroglu ZS, Dolek F, Dumanoglu I, Eskut E, Guler Y, Guler EG, Isik C, Kara O, Topaksu AK, Kiminsu U, Onengut G, Ozdemir K, Polatoz A, Simsek AE, Tali B, Tok UG, Turkcapar S, Zorbakir IS, Karapinar G, Ocalan K, Yalvac M, Akgun B, Atakisi IO, Gülmez E, Kaya M, Kaya O, Özçelik Ö, Tekten S, Yetkin EA, Cakir A, Cankocak K, Komurcu Y, Sen S, Cerci S, Hos I, Isildak B, Kaynak B, Ozkorucuklu S, Sert H, Cerci DS, Zorbilmez C, Grynyov B, Levchuk L, Anthony D, Bhal E, Bologna S, Brooke JJ, Bundock A, Clement E, Cussans D, Flacher H, Goldstein J, Heath GP, Heath HF, Kreczko L, Krikler B, Paramesvaran S, Nasr-Storey SSE, Smith VJ, Stylianou N, Pass KW, White R, Bell KW, Belyaev A, Brew C, Brown RM, Cockerill DJA, Cooke C, Ellis KV, Harder K, Harper S, Holmberg ML, Linacre J, Manolopoulos K, Newbold DM, Olaiya E, Petyt D, Reis T, Schuh T, Shepherd-Themistocleous CH, Tomalin IR, Williams T, Bainbridge R, Bloch P, Bonomally S, Borg J, Breeze S, Buchmuller O, Cepaitis V, Chahal GS, Colling D, Dauncey P, Davies G, Negra MD, Fayer S, Fedi G, Hall G, Hassanshahi MH, Iles G, Langford J, Lyons L, Magnan AM, Malik S, Martelli A, Monk DG, Nash J, Pesaresi M, Radburn-Smith BC, Raymond DM, Richards A, Rose A, Scott E, Seez C, Shtipliyski A, Tapper A, Uchida K, Virdee T, Vojinovic M, Wardle N, Webb SN, Winterbottom D, Coldham K, Cole JE, Khan A, Kyberd P, Reid ID, Teodorescu L, Zahid S, Abdullin S, Brinkerhoff A, Caraway B, Dittmann J, Hatakeyama K, Kanuganti AR, McMaster B, Pastika N, Saunders M, Sawant S, Sutantawibul C, Wilson J, Bartek R, Dominguez A, Uniyal R, Hernandez AMV, Buccilli A, Cooper SI, Croce DD, Gleyzer SV, Henderson C, Perez CU, Rumerio P, West C, Akpinar A, Albert A, Arcaro D, Cosby C, Demiragli Z, Fontanesi E, Gastler D, May S, Rohlf J, Salyer K, Sperka D, Spitzbart D, Suarez I, Tsatsos A, Yuan S, Zou D, Benelli G, Burkle B, Coubez X, Cutts D, Hadley M, Heintz U, Hogan JM, Kwon T, Landsberg G, Lau KT, Li D, Lukasik M, Luo J, Narain M, Pervan N, Sagir S, Simpson F, Usai E, Wong WY, Yan X, Yu D, Zhang W, Bonilla J, Brainerd C, Breedon R, De La Barca Sanchez MC, Chertok M, Conway J, Cox PT, Erbacher R, Haza G, Jensen F, Kukral O, Lander R, Mulhearn M, Pellett D, Regnery B, Taylor D, Yao Y, Zhang F, Bachtis M, Cousins R, Datta A, Hamilton D, Hauser J, Ignatenko M, Iqbal MA, Lam T, Nash WA, Regnard S, Saltzberg D, Stone B, Valuev V, Chen Y, Clare R, Gary JW, Gordon M, Hanson G, Karapostoli G, Long OR, Manganelli N, Si W, Wimpenny S, Zhang Y, Branson JG, Chang P, Cittolin S, Cooperstein S, Deelen N, Diaz D, Duarte J, Gerosa R, Giannini L, Guiang J, Kansal R, Krutelyov V, Lee R, Letts J, Masciovecchio M, Mokhtar F, Pieri M, Narayanan BVS, Sharma V, Tadel M, Würthwein F, Xiang Y, Yagil A, Amin N, Campagnari C, Citron M, Dorsett A, Dutta V, Incandela J, Kilpatrick M, Kim J, Marsh B, Mei H, Oshiro M, Quinnan M, Richman J, Sarica U, Setti F, Sheplock J, Siddireddy P, Stuart D, Wang S, Bornheim A, Cerri O, Dutta I, Lawhorn JM, Lu N, Mao J, Newman HB, Nguyen TQ, Spiropulu M, Vlimant JR, Wang C, Xie S, Zhang Z, Zhu RY, Alison J, An S, Andrews MB, Bryant P, Ferguson T, Harilal A, Liu C, Mudholkar T, Paulini M, Sanchez A, Terrill W, Cumalat JP, Ford WT, Hassani A, Karathanasis G, MacDonald E, Patel R, Perloff A, Savard C, Schonbeck N, Stenson K, Ulmer KA, Wagner SR, Zipper N, Alexander J, Bright-Thonney S, Chen X, Cheng Y, Cranshaw DJ, Hogan S, Monroy J, Patterson JR, Quach D, Reichert J, Reid M, Ryd A, Sun W, Thom J, Wittich P, Zou R, Albrow M, Alyari M, Apollinari G, Apresyan A, Apyan A, Bauerdick LAT, Berry D, Berryhill J, Bhat PC, Burkett K, Butler JN, Canepa A, Cerati GB, Cheung HWK, Chlebana F, Petrillo KFD, Elvira VD, Feng Y, Freeman J, Gecse Z, Gray L, Green D, Grünendahl S, Gutsche O, Harris RM, Heller R, Herwig TC, Hirschauer J, Jayatilaka B, Jindariani S, Johnson M, Joshi U, Klijnsma T, Klima B, Kwok KHM, Lammel S, Lincoln D, Lipton R, Liu T, Madrid C, Maeshima K, Mantilla C, Mason D, McBride P, Merkel P, Mrenna S, Nahn S, Ngadiuba J, Papadimitriou V, Pedro K, Pena C, Ravera F, Hall AR, Ristori L, Sexton-Kennedy E, Smith N, Soha A, Spiegel L, Strait J, Taylor L, Tkaczyk S, Tran NV, Uplegger L, Vaandering EW, Weber HA, Avery P, Bourilkov D, Cadamuro L, Cherepanov V, Field RD, Guerrero D, Joshi BM, Kim M, Koenig E, Konigsberg J, Korytov A, Lo KH, Matchev K, Menendez N, Mitselmakher G, Madhu AM, Rawal N, Rosenzweig D, Rosenzweig S, Shi K, Wang J, Wu Z, Yigitbasi E, Zuo X, Adams T, Askew A, Habibullah R, Hagopian V, Johnson KF, Khurana R, Kolberg T, Martinez G, Prosper H, Schiber C, Viazlo O, Yohay R, Zhang J, Baarmand MM, Butalla S, Elkafrawy T, Hohlmann M, Verma RK, Noonan D, Rahmani M, Yumiceva F, Adams MR, Gonzalez HB, Cavanaugh R, Dittmer S, Evdokimov O, Gerber CE, Hofman DJ, Merrit AH, Mills C, Oh G, Roy T, Rudrabhatla S, Tonjes MB, Varelas N, Viinikainen J, Wang X, Ye Z, Alhusseini M, Dilsiz K, Emediato L, Gandrajula RP, Köseyan OK, Merlo JP, Mestvirishvili A, Nachtman J, Ogul H, Onel Y, Penzo A, Snyder C, Tiras E, Amram O, Blumenfeld B, Corcodilos L, Davis J, Gritsan AV, Kyriacou S, Maksimovic P, Roskes J, Swartz M, Vámi T, Abreu A, Anguiano J, Barrera CB, Baringer P, Bean A, Bylinkin A, Flowers Z, Isidori T, Khalil S, King J, Krintiras G, Kropivnitskaya A, Lazarovits M, Mahieu CL, Lindsey C, Marquez J, Minafra N, Murray M, Nickel M, Rogan C, Royon C, Salvatico R, Sanders S, Schmitz E, Smith C, Wang Q, Warner Z, Williams J, Wilson G, Duric S, Ivanov A, Kaadze K, Kim D, Maravin Y, Mitchell T, Modak A, Nam K, Rebassoo F, Wright D, Adams E, Baden A, Baron O, Belloni A, Eno SC, Hadley NJ, Jabeen S, Kellogg RG, Koeth T, Lai Y, Lascio S, Mignerey AC, Nabili S, Palmer C, Seidel M, Skuja A, Wang L, Wong K, Abercrombie D, Andreassi G, Bi R, Busza W, Cali IA, Chen Y, D’Alfonso M, Eysermans J, Freer C, Gomez-Ceballos G, Goncharov M, Harris P, Hu M, Klute M, Kovalskyi D, Krupa J, Lee YJ, Mironov C, Paus C, Rankin D, Roland C, Roland G, Shi Z, Stephans GSF, Wang J, Wang Z, Wyslouch B, Chatterjee RM, Evans A, Hiltbrand J, Jain S, Krohn M, Kubota Y, Mans J, Revering M, Rusack R, Saradhy R, Schroeder N, Strobbe N, Wadud MA, Bloom K, Bryson M, Chauhan S, Claes DR, Fangmeier C, Finco L, Golf F, Joo C, Kravchenko I, Reed I, Siado JE, Snow GR, Tabb W, Wightman A, Yan F, Zecchinelli AG, Agarwal G, Bandyopadhyay H, Hay L, Iashvili I, Kharchilava A, McLean C, Nguyen D, Pekkanen J, Rappoccio S, Williams A, Alverson G, Barberis E, Haddad Y, Han Y, Hortiangtham A, Krishna A, Li J, Lidrych J, Madigan G, Marzocchi B, Morse DM, Nguyen V, Orimoto T, Parker A, Skinnari L, Tishelman-Charny A, Wamorkar T, Wang B, Wisecarver A, Wood D, Bhattacharya S, Bueghly J, Chen Z, Gilbert A, Gunter T, Hahn KA, Liu Y, Odell N, Schmitt MH, Velasco M, Band R, Bucci R, Cremonesi M, Das A, Dev N, Goldouzian R, Hildreth M, Anampa KH, Jessop C, Lannon K, Lawrence J, Loukas N, Lutton L, Mariano J, Marinelli N, Mcalister I, McCauley T, Mcgrady C, Mohrman K, Moore C, Musienko Y, Ruchti R, Townsend A, Wayne M, Zarucki M, Zygala L, Bylsma B, Durkin LS, Francis B, Hill C, Ornelas MN, Wei K, Winer BL, Yates BR, Addesa FM, Bonham B, Das P, Dezoort G, Elmer P, Frankenthal A, Greenberg B, Haubrich N, Higginbotham S, Kalogeropoulos A, Kopp G, Kwan S, Lange D, Marlow D, Mei K, Ojalvo I, Olsen J, Stickland D, Tully C, Malik S, Norberg S, Bakshi AS, Barnes VE, Chawla R, Das S, Gutay L, Jones M, Jung AW, Kondratyev D, Koshy AM, Liu M, Negro G, Neumeister N, Paspalaki G, Piperov S, Purohit A, Schulte JF, Stojanovic M, Thieman J, Wang F, Xiao R, Xie W, Dolen J, Parashar N, Acosta D, Baty A, Carnahan T, Decaro M, Dildick S, Ecklund KM, Freed S, Gardner P, Geurts FJM, Kumar A, Li W, Padley BP, Redjimi R, Rotter J, Shi W, Leiton AGS, Yang S, Zhang L, Zhang Y, Bodek A, de Barbaro P, Demina R, Dulemba JL, Fallon C, Ferbel T, Galanti M, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Ranken E, Taus R, Onsem GPV, Chiarito B, Chou JP, Gandrakota A, Gershtein Y, Halkiadakis E, Hart A, Heindl M, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Osherson M, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Wang H, Acharya H, Delannoy AG, Fiorendi S, Spanier S, Bouhali O, Dalchenko M, Delgado A, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo S, Malhotra S, Mueller R, Overton D, Rathjens D, Safonov A, Akchurin N, Damgov J, Hegde V, Kunori S, Lamichhane K, Lee SW, Mengke T, Muthumuni S, Peltola T, Volobouev I, Wang Z, Whitbeck A, Appelt E, Greene S, Gurrola A, Johns W, Melo A, Padeken K, Romeo F, Sheldon P, Tuo S, Velkovska J, Arenton MW, Cardwell B, Cox B, Cummings G, Hakala J, Hirosky R, Joyce M, Ledovskoy A, Li A, Neu C, Lara CEP, Tannenwald B, White S, Poudyal N, Banerjee S, Black K, Bose T, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Hervé A, Hussain U, Lanaro A, Loeliger A, Loveless R, Sreekala JM, Mallampalli A, Mohammadi A, Pinna D, Savin A, Shang V, Sharma V, Smith WH, Teague D, Trembath-Reichert S, Vetens W, Afanasiev S, Andreev V, Andreev Y, Aushev T, Azarkin M, Babaev A, Belyaev A, Blinov V, Boos E, Borshch V, Budkouski D, Chadeeva M, Chekhovsky V, Dermenev A, Dimova T, Dremin I, Dubinin M, Dudko L, Epshteyn V, Ershov A, Gavrilov G, Gavrilov V, Gninenko S, Golovtcov V, Golubev N, Golutvin I, Gorbunov I, Gribushin A, Ivanchenko V, Ivanov Y, Kachanov V, Kardapoltsev L, Karjavine V, Karneyeu A, Kim V, Kirakosyan M, Kirpichnikov D, Kirsanov M, Klyukhin V, Kodolova O, Konstantinov D, Korenkov V, Kozyrev A, Krasnikov N, Kuznetsova E, Lanev A, Litomin A, Lychkovskaya N, Makarenko V, Malakhov A, Matveev V, Murzin V, Nikitenko A, Obraztsov S, Okhotnikov V, Oreshkin V, Oskin A, Ovtin I, Palichik V, Parygin P, Pashenkov A, Perelygin V, Petrushanko S, Pivovarov G, Polikarpov S, Popov V, Radchenko O, Savina M, Savrin V, Selivanova D, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Slabospitskii S, Smirnov I, Smirnov V, Snigirev A, Sosnov D, Stepennov A, Sulimov V, Tcherniaev E, Terkulov A, Teryaev O, Toms M, Toropin A, Uvarov L, Uzunian A, Vlasov E, Volkov S, Vorobyev A, Voytishin N, Yuldashev BS, Zarubin A, Zhemchugov E, Zhizhin I, Zhokin A. CMS pythia 8 colour reconnection tunes based on underlying-event data. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2023; 83:587. [PMID: 37440247 PMCID: PMC10333420 DOI: 10.1140/epjc/s10052-023-11630-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 05/16/2023] [Indexed: 07/14/2023]
Abstract
New sets of parameter tunes for two of the colour reconnection models, quantum chromodynamics-inspired and gluon-move, implemented in the pythia 8 event generator, are obtained based on the default CMS pythia 8 underlying-event tune, CP5. Measurements sensitive to the underlying event performed by the CMS experiment at centre-of-mass energies s = 7 and 13Te V , and by the CDF experiment at 1.96Te V are used to constrain the parameters of colour reconnection models and multiple-parton interactions simultaneously. The new colour reconnection tunes are compared with various measurements at 1.96, 7, 8, and 13Te V including measurements of the underlying-event, strange-particle multiplicities, jet substructure observables, jet shapes, and colour flow in top quark pair (t t ¯ ) events. The new tunes are also used to estimate the uncertainty related to colour reconnection modelling in the top quark mass measurement using the decay products of t t ¯ events in the semileptonic channel at 13Te V .
Collapse
Grants
- Austrian Federal Ministry of Education, Science and Research
- Austrian Science Fund
- Belgian Fonds de la Recherche Scientifique
- Belgian Fonds voor Wetenschappelijk Onderzoek
- CNPq
- CAPES
- FAPERJ
- FAPERGS
- FAPESP
- Bulgarian Ministry of Education and Science
- Bulgarian National Science Fund
- CERN
- Chinese Academy of Sciences
- Ministry of Science and Technology
- Chinese National Natural Science Foundation of China
- Colombian Funding Agency (MINICIENCIAS)
- Croatian Ministry of Science, Education and Sport
- Croatian Science Foundation
- Research and Innovation Foundation
- SENESCYT
- Ministry of Education and Research
- Estonian Research Council via PRG780, PRG803, and PRG445
- European Regional Development Fund
- Academy of Finland
- Finnish Ministry of Education and Culture
- Helsinki Institute of Physics
- Institut National de Physique Nucléaire et de Physique des Particules
- Centre National de la Recherche Scientifique
- Commissariat à l’Énergie Atomique et aux Énergies Alternatives
- Bundesministerium für Bildung und Forschung
- Deutsche Forschungsgemeinschaft
- Helmholtz-Gemeinschaft Deutscher Forschungszentren
- General Secretariat for Research and Innovation
- National Research, Development and Innovation Office
- Department of Atomic Energy
- Department of Science and Technology
- Institute for Research in Fundamental Studies
- Science Foundation
- Istituto Nazionale di Fisica Nucleare
- Korean Ministry of Education, Science and Technology
- National Research Foundation of Korea (NRF)
- MES
- Lithuanian Academy of Sciences
- Ministry of Education
- University of Malaya
- BUAP
- CINVESTAV
- CONACYT
- LNS
- SEP
- UASLP
- MOS
- Ministry of Business, Innovation and Employment
- Pakistan Atomic Energy Commission
- Ministry of Educaton and Science
- National Science Centre
- Fundação para a Ciência e a Tecnologia, CERN/FIS-PAR/0025/2019 and CERN/FIS-INS/0032/2019
- Ministry of Education, Science and Technological Development of Serbia
- MCIN/AEI/10.13039/501100011033, ERDF “a way of making Europe”
- Fondo Europeo de Desarrollo Regional, Spain
- Plan de Ciencia, Tecnología e Innovación del Principado de Asturias
- MOSTR
- ETH Board
- ETH Zurich
- PSI
- SNF
- UniZH
- Canton Zurich
- SER
- Thailand Center of Excellence in Physics
- Institute for the Promotion of Teaching Science and Technology of Thailand
- Special Task Force for Activating Research
- National Science and Technology Development Agency of Thailand
- Scientific and Technical Research Council of Turkey
- Turkish Atomic Energy Authority
- National Academy of Sciences of Ukraine
- Science and Technology Facilities Council
- US Department of Energy
- US National Science Foundation
- Marie-Curie programme
- European Research Council and EPLANET (European Union)
- European Research Council/European Cooperation in Science and Technology), Action CA16108
- Individual
- Leventis Foundation
- Alfred P. Sloan Foundation
- Alexander von Humboldt Foundation
- Belgian Federal Science Policy Office
- Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium)
- Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium)
- Belgian Fonds de la Recherche Scientifique, “Excellence of Science – EOS” – be.h project n. 30820817
- Belgian Fonds voor Wetenschappelijk Onderzoek, “Excellence of Science – EOS” – be.h project n. 30820817
- Beijing Municipal Science & Technology Commission, No. Z191100007219010
- Ministry of Education, Youth and Sports (MEYS) of the Czech Republic
- Deutsche Forschungsgemeinschaft (DFG) under Germany’s Excellence Strategy – EXC 2121 “Quantum Universe” – 390833306
- Deutsche Forschungsgemeinschaft (DFG), project number 400140256 – GRK2497
- Hellenic Foundation for Research and Innovation, Project Number 2288
- Hungarian Academy of Sciences
- New National Excellence Program – ÚNKP, the NKFIH research grants K 124845, K 124850, K 128713, K 128786, K 129058, K 131991, K 133046, K 138136, K 143460, K 143477, 2020-2.2.1-ED-2021-00181, and TKP2021-NKTA-64
- Council of Scientific and Industrial Research, India
- Latvian Council of Science
- Ministy of Education and Science, project no. 2022/WK/14
- National Science Center, Opus 2021/41/B/ST2/01369 and 2021/43/B/ST2/01552
- Fundação para a Ciência e a Tecnologia, CEECIND/01334/2018
- National Priorities Research Program by Qatar National Research Fund
- Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2017-0765 and projects PID2020-113705RB, PID2020-113304RB, PID2020-116262RB and PID2020-113341RB-I00
- Programa Severo Ochoa del Principado de Asturias
- Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University (Thailand)
- CUAASC
- Kavli Foundation
- Nvidia Corporation
- Welch Foundation, contract C-1845
- Weston Havens Foundation
- Institut für Hochenergiephysik (HEPHY) using the Cloud Infrastructure Platform (CLIP), Vienna
- Inter-University Institute for High Energies, Brussels
- Université Catholique de Louvain, Louvain-la-Neuve
- São Paulo Research and Analysis Center, São Paulo
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro
- University of Sofia, Sofia
- Institute of High Energy Physics of the Chinese Academy of Sciences, Beijing
- National Institute of Chemical Physics and Biophysics, Tallinn
- Helsinki Institute of Physics, Helsinki
- Grille de Recherche d’Ile de France (GRIF), Institut de recherche sur les lois fondamentales de l’Univers, CEA, Université Paris-Saclay, Gif-sur-Yvette, France and Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris
- Institut de recherche sur les lois fondamentales de l’Univers, CEA, Université Paris-Saclay, Gif-sur-Yvette
- Institut national de physique nucléaire et de physique des particules, IN2P3, Villeurbanne
- Institut Pluridisciplinaire Hubert Curien (IPHC), Strasbourg
- Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau
- Deutsches Elektronen-Synchrotron, Hamburg
- Karlsruher Institut für Technologie, Karlsruhe
- RWTH Aachen University, Aachen
- University of Ioánnina, Ioánnina
- Wigner Research Centre for Physics, Budapest
- Tata Institute of Fundamental Research, Mumbai
- INFN CNAF, Bologna
- INFN Sezione di Bari, Università di Bari, Politecnico di Bari, Bari
- INFN Sezione di Pisa, Università di Pisa, Scuola Normale Superiore di Pisa, Pisa
- INFN Sezione di Roma, Sapienza Università di Roma, Rome
- INFN Sezione di Trieste, Università di Trieste, Trieste
- Laboratori Nazionali di Legnaro, Legnaro
- Kyungpook National University, Daegu
- National Centre for Physics, Quaid-I-Azam University, Islamabad
- Akademickie Centrum Komputerowe Cyfronet AGH, Krakow
- National Centre for Nuclear Research, Swierk
- Laboratório de Instrumentação e Física Experimental de Partículas, Lisboa
- Korea Institute of Science and Technology Information (KISTI), Daejeon
- Centro de Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT), Madrid
- Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander
- Port d’Informació Científica, Bellaterra
- CERN, European Organization for Nuclear Research, Geneva
- CSCS – Swiss National Supercomputing Centre, Lugano
- National Center for High-performance Computing (NCHC), Hsinchu City
- Middle East Technical University, Physics Department, Ankara
- National Scientific Center, Kharkov Institute of Physics and Technology, Kharkov
- GridPP, Brunel University, Uxbridge
- GridPP, Imperial College, London
- GridPP, Queen Mary University of London, London
- GridPP, Royal Holloway, University of London, London
- GridPP, Rutherford Appleton Laboratory, Didcot
- GridPP, University of Bristol, Bristol
- GridPP, University of Glasgow, Glasgow
- Baylor University, Waco
- California Institute of Technology, Pasadena
- Fermi National Accelerator Laboratory, Batavia
- Massachusetts Institute of Technology, Cambridge
- National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility, Berkeley
- Open Science Grid (OSG) Consortium
- Pittsburgh Supercomputing Center (PSC), Pittsburgh
- Purdue University, West Lafayette
- Texas Advanced Computing Center (TACC), Austin
- University of California, San Diego, La Jolla
- University of Colorado Boulder, Boulder
- University of Florida, Gainesville
- University of Nebraska-Lincoln, Lincoln
- University of Wisconsin – Madison, Madison
- Vanderbilt University, Nashville
Collapse
|
161
|
Cai YM, Wang H, Shi XH, Liang ZY. [Research advances in the different molecular subtypes of uterine mesenchymal tumors]. ZHONGHUA BING LI XUE ZA ZHI = CHINESE JOURNAL OF PATHOLOGY 2023; 52:761-766. [PMID: 37408418 DOI: 10.3760/cma.j.cn112151-20221111-00947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Subscribe] [Scholar Register] [Indexed: 07/07/2023]
|
162
|
Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, Damanakis K, Dragicevic M, Escalante Del Valle A, Hussain PS, Jeitler M, Krammer N, Lechner L, Liko D, Mikulec I, Paulitsch P, Pitters FM, Schieck J, Schöfbeck R, Schwarz D, Templ S, Waltenberger W, Wulz CE, Darwish MR, Janssen T, Kello T, Rejeb Sfar H, Van Mechelen P, Bols ES, D'Hondt J, De Moor A, Delcourt M, El Faham H, Lowette S, Moortgat S, Morton A, Müller D, Sahasransu AR, Tavernier S, Van Doninck W, Vannerom D, Clerbaux B, De Lentdecker G, Favart L, Hohov D, Jaramillo J, Lee K, Mahdavikhorrami M, Makarenko I, Malara A, Paredes S, Pétré L, Postiau N, Starling E, Thomas L, Vanden Bemden M, Vander Velde C, Vanlaer P, Dobur D, Knolle J, Lambrecht L, Mestdach G, Niedziela M, Rendón C, Roskas C, Samalan A, Skovpen K, Tytgat M, Van Den Bossche N, Vermassen B, Wezenbeek L, Benecke A, Bruno G, Bury F, Caputo C, David P, Delaere C, Donertas IS, Giammanco A, Jaffel K, Jain S, Lemaitre V, Mondal K, Prisciandaro J, Taliercio A, Tran TT, Vischia P, Wertz S, Alves GA, Coelho E, Hensel C, Moraes A, Rebello Teles P, Aldá Júnior WL, Alves Gallo Pereira M, Barroso Ferreira Filho M, Brandao Malbouisson H, Carvalho W, Chinellato J, Da Costa EM, Da Silveira GG, De Jesus Damiao D, Dos Santos Sousa V, Fonseca De Souza S, Martins J, Mora Herrera C, Mota Amarilo K, Mundim L, Nogima H, Santoro A, Silva Do Amaral SM, Sznajder A, Thiel M, Torres Da Silva De Araujo F, Vilela Pereira A, Bernardes CA, Calligaris L, Tomei TRFP, Gregores EM, Mercadante PG, Novaes SF, Padula SS, Aleksandrov A, Antchev G, Hadjiiska R, Iaydjiev P, Misheva M, Rodozov M, Shopova M, Sultanov G, Dimitrov A, Ivanov T, Litov L, Pavlov B, Petkov P, Petrov A, Shumka E, Cheng T, Javaid T, Mittal M, Yuan L, Ahmad M, Bauer G, Hu Z, Lezki S, Yi K, Chen GM, Chen HS, Chen M, Iemmi F, Jiang CH, Kapoor A, Liao H, Liu ZA, Milosevic V, Monti F, Sharma R, Tao J, Thomas-Wilsker J, Wang J, Zhang H, Zhao J, Agapitos A, An Y, Ban Y, Chen C, Levin A, Li C, Li Q, Lyu X, Mao Y, Qian S, Qian SJ, Sun X, Wang D, Xiao J, Yang H, Li J, Lu M, You Z, Gao X, Leggat D, Okawa H, Zhang Y, Lin Z, Lu C, Xiao M, Avila C, Barbosa Trujillo DA, Cabrera A, Florez C, Fraga J, Mejia Guisao J, Ramirez F, Rodriguez M, Ruiz Alvarez JD, Giljanovic D, Godinovic N, Lelas D, Puljak I, Antunovic Z, Kovac M, Sculac T, Brigljevic V, Chitroda BK, Ferencek D, Majumder D, Roguljic M, Starodumov A, Susa T, Attikis A, Christoforou K, Kole G, Kolosova M, Konstantinou S, Mousa J, Nicolaou C, Ptochos F, Razis PA, Rykaczewski H, Saka H, Finger M, Finger M, Kveton A, Ayala E, Carrera Jarrin E, Elgammal S, Ellithi Kamel A, Lotfy A, Mahmoud MA, Bhowmik S, Dewanjee RK, Ehataht K, Kadastik M, Lange T, Nandan S, Nielsen C, Pata J, Raidal M, Tani L, Veelken C, Eerola P, Kirschenmann H, Osterberg K, Voutilainen M, Bharthuar S, Brücken E, Garcia F, Havukainen J, Kim MS, Kinnunen R, Lampén T, Lassila-Perini K, Lehti S, Lindén T, Lotti M, Martikainen L, Myllymäki M, Ott J, Rantanen MM, Siikonen H, Tuominen E, Tuominiemi J, Luukka P, Petrow H, Tuuva T, Amendola C, Besancon M, Couderc F, Dejardin M, Denegri D, Faure JL, Ferri F, Ganjour S, Gras P, Hamel de Monchenault G, Jarry P, Lohezic V, Malcles J, Rander J, Rosowsky A, Sahin MÖ, Savoy-Navarro A, Simkina P, Titov M, Baldenegro Barrera C, Beaudette F, Buchot Perraguin A, Busson P, Cappati A, Charlot C, Damas F, Davignon O, Diab B, Falmagne G, Fontana Santos Alves BA, Ghosh S, Granier de Cassagnac R, Hakimi A, Harikrishnan B, Liu G, Motta J, Nguyen M, Ochando C, Portales L, Rembser J, Salerno R, Sarkar U, Sauvan JB, Sirois Y, Tarabini A, Vernazza E, Zabi A, Zghiche A, Agram JL, Andrea J, Apparu D, Bloch D, Bourgatte G, Brom JM, Chabert EC, Collard C, Darej D, Goerlach U, Grimault C, Le Bihan AC, Van Hove P, Beauceron S, Bernet C, Blancon B, Boudoul G, Carle A, Chanon N, Choi J, Contardo D, Depasse P, Dozen C, El Mamouni H, Fay J, Gascon S, Gouzevitch M, Grenier G, Ille B, Laktineh IB, Lethuillier M, Mirabito L, Perries S, Sordini V, Torterotot L, Vander Donckt M, Verdier P, Viret S, Chokheli D, Lomidze I, Tsamalaidze Z, Botta V, Feld L, Klein K, Lipinski M, Meuser D, Pauls A, Röwert N, Teroerde M, Diekmann S, Dodonova A, Eich N, Eliseev D, Erdmann M, Fackeldey P, Fasanella D, Fischer B, Hebbeker T, Hoepfner K, Ivone F, Lee MY, Mastrolorenzo L, Merschmeyer M, Meyer A, Mondal S, Mukherjee S, Noll D, Novak A, Nowotny F, Pozdnyakov A, Rath Y, Redjeb W, Reithler H, Schmidt A, Schuler SC, Sharma A, Vigilante L, Wiedenbeck S, Zaleski S, Dziwok C, Flügge G, Haj Ahmad W, Hlushchenko O, Kress T, Nowack A, Pooth O, Stahl A, Ziemons T, Zotz A, Aarup Petersen H, Aldaya Martin M, Asmuss P, Baxter S, Bayatmakou M, Behnke O, Bermúdez Martínez A, Bhattacharya S, Bin Anuar AA, Blekman F, Borras K, Brunner D, Campbell A, Cardini A, Cheng C, Colombina F, Consuegra Rodríguez S, Correia Silva G, De Silva M, Didukh L, Eckerlin G, Eckstein D, Estevez Banos LI, Filatov O, Gallo E, Geiser A, Giraldi A, Greau G, Grohsjean A, Guglielmi V, Guthoff M, Jafari A, Jomhari NZ, Kaech B, Kasem A, Kasemann M, Kaveh H, Kleinwort C, Kogler R, Komm M, Krücker D, Lange W, Leyva Pernia D, Lipka K, Lohmann W, Mankel R, Melzer-Pellmann IA, Mendizabal Morentin M, Metwally J, Meyer AB, Milella G, Mormile M, Mussgiller A, Nürnberg A, Otarid Y, Pérez Adán D, Raspereza A, Ribeiro Lopes B, Rübenach J, Saggio A, Saibel A, Savitskyi M, Scham M, Scheurer V, Schnake S, Schütze P, Schwanenberger C, Shchedrolosiev M, Sosa Ricardo RE, Stafford D, Tonon N, Van De Klundert M, Vazzoler F, Ventura Barroso A, Walsh R, Walter D, Wang Q, Wen Y, Wichmann K, Wiens L, Wissing C, Wuchterl S, Yang Y, Zimermmane Castro Santos A, Aggleton R, Albrecht A, Albrecht S, Antonello M, Bein S, Benato L, Bonanomi M, Connor P, De Leo K, Eich M, El Morabit K, Feindt F, Fröhlich A, Garbers C, Garutti E, Hajheidari M, Haller J, Hinzmann A, Jabusch HR, Kasieczka G, Klanner R, Korcari W, Kramer T, Kutzner V, Lange J, Lobanov A, Matthies C, Mehta A, Moureaux L, Mrowietz M, Nigamova A, Nissan Y, Paasch A, Pena Rodriguez KJ, Rieger M, Rieger O, Schleper P, Schröder M, Schwandt J, Stadie H, Steinbrück G, Tews A, Wolf M, Bechtel J, Brommer S, Burkart M, Butz E, Caspart R, Chwalek T, Dierlamm A, Droll A, Faltermann N, Giffels M, Gosewisch JO, Gottmann A, Hartmann F, Horzela M, Husemann U, Keicher P, Klute M, Koppenhöfer R, Maier S, Mitra S, Müller T, Neukum M, Quast G, Rabbertz K, Rauser J, Savoiu D, Schnepf M, Seith D, Shvetsov I, Simonis HJ, Trevisani N, Ulrich R, van der Linden J, Von Cube RF, Wassmer M, Weber M, Wieland S, Wolf R, Wozniewski S, Wunsch S, Anagnostou G, Assiouras P, Daskalakis G, Kyriakis A, Stakia A, Diamantopoulou M, Karasavvas D, Kontaxakis P, Manousakis-Katsikakis A, Panagiotou A, Papavergou I, Saoulidou N, Theofilatos K, Tziaferi E, Vellidis K, Vourliotis E, Zisopoulos I, Bakas G, Chatzistavrou T, Kousouris K, Papakrivopoulos I, Tsipolitis G, Zacharopoulou A, Adamidis K, Bestintzanos I, Evangelou I, Foudas C, Gianneios P, Kamtsikis C, Katsoulis P, Kokkas P, Kosmoglou Kioseoglou PG, Manthos N, Papadopoulos I, Strologas J, Csanád M, Farkas K, Gadallah MMA, Lökös S, Major P, Mandal K, Pásztor G, Rádl AJ, Surányi O, Veres GI, Bartók M, Bencze G, Hajdu C, Horvath D, Sikler F, Veszpremi V, Beni N, Czellar S, Karancsi J, Molnar J, Szillasi Z, Teyssier D, Raics P, Ujvari B, Csorgo T, Nemes F, Novak T, Babbar J, Bansal S, Beri SB, Bhatnagar V, Chaudhary G, Chauhan S, Dhingra N, Gupta R, Kaur A, Kaur A, Kaur H, Kaur M, Kumar S, Kumari P, Meena M, Sandeep K, Sheokand T, Singh JB, Singla A, Virdi AK, Ahmed A, Bhardwaj A, Choudhary BC, Gola M, Keshri S, Kumar A, Naimuddin M, Priyanka P, Ranjan K, Saumya S, Shah A, Baradia S, Barman S, Bhattacharya S, Bhowmik D, Dutta S, Dutta S, Gomber B, Maity M, Palit P, Rout PK, Saha G, Sahu B, Sarkar S, Behera PK, Behera SC, Kalbhor P, Komaragiri JR, Kumar D, Muhammad A, Panwar L, Pradhan R, Pujahari PR, Sharma A, Sikdar AK, Tiwari PC, Verma S, Naskar K, Aziz T, Das I, Dugad S, Kumar M, Mohanty GB, Suryadevara P, Banerjee S, Chudasama R, Guchait M, Karmakar S, Kumar S, Majumder G, Mazumdar K, Mukherjee S, Thachayath A, Bahinipati S, Das AK, Kar C, Mal P, Mishra T, Muraleedharan Nair Bindhu VK, Nayak A, Saha P, Sur N, Swain SK, Vats D, Alpana A, Dube S, Kansal B, Laha A, Pandey S, Rastogi A, Sharma S, Bakhshiansohi H, Khazaie E, Zeinali M, Chenarani S, Etesami SM, Khakzad M, Mohammadi Najafabadi M, Grunewald M, Abbrescia M, Aly R, Aruta C, Colaleo A, Creanza D, De Filippis N, De Palma M, Di Florio A, Elmetenawee W, Errico F, Fiore L, Iaselli G, Ince M, Maggi G, Maggi M, Margjeka I, Mastrapasqua V, My S, Nuzzo S, Pellecchia A, Pompili A, Pugliese G, Radogna R, Ramos D, Ranieri A, Selvaggi G, Silvestris L, Simone FM, Sözbilir Ü, Stamerra A, Venditti R, Verwilligen P, Abbiendi G, Battilana C, Bonacorsi D, Borgonovi L, Brigliadori L, Campanini R, Capiluppi P, Castro A, Cavallo FR, Cuffiani M, Dallavalle GM, Diotalevi T, Fabbri F, Fanfani A, Giacomelli P, Giommi L, Grandi C, Guiducci L, Lo Meo S, Lunerti L, Marcellini S, Masetti G, Navarria FL, Perrotta A, Primavera F, Rossi AM, Rovelli T, Siroli GP, Costa S, Di Mattia A, Potenza R, Tricomi A, Tuve C, Barbagli G, Camaiani B, Cassese A, Ceccarelli R, Ciulli V, Civinini C, D'Alessandro R, Focardi E, Latino G, Lenzi P, Lizzo M, Meschini M, Paoletti S, Seidita R, Sguazzoni G, Viliani L, Benussi L, Bianco S, Meola S, Piccolo D, Bozzo M, Ferro F, Mulargia R, Robutti E, Tosi S, Benaglia A, Boldrini G, Brivio F, Cetorelli F, De Guio F, Dinardo ME, Dini P, Gennai S, Ghezzi A, Govoni P, Guzzi L, Lucchini MT, Malberti M, Malvezzi S, Massironi A, Menasce D, Moroni L, Paganoni M, Pedrini D, Pinolini BS, Ragazzi S, Redaelli N, Tabarelli de Fatis T, Zuolo D, Buontempo S, Carnevali F, Cavallo N, De Iorio A, Fabozzi F, Iorio AOM, Lista L, Paolucci P, Rossi B, Sciacca C, Azzi P, Bacchetta N, Bellato M, Benettoni M, Bergnoli A, Bisello D, Bortignon P, Bragagnolo A, Dorigo T, Gasparini F, Gasparini U, Grosso G, Layer L, Lusiani E, Margoni M, Pazzini J, Ronchese P, Rossin R, Simonetto F, Strong G, Tosi M, Yarar H, Zanetti M, Zotto P, Zucchetta A, Zumerle G, Aimè C, Braghieri A, Calzaferri S, Fiorina D, Montagna P, Re V, Riccardi C, Salvini P, Vai I, Vitulo P, Asenov P, Bilei GM, Ciangottini D, Fanò L, Magherini M, Mantovani G, Mariani V, Menichelli M, Moscatelli F, Piccinelli A, Presilla M, Rossi A, Santocchia A, Spiga D, Tedeschi T, Azzurri P, Bagliesi G, Bertacchi V, Bhattacharya R, Bianchini L, Boccali T, Bossini E, Bruschini D, Castaldi R, Ciocci MA, D'Amante V, Dell'Orso R, Di Domenico MR, Donato S, Giassi A, Ligabue F, Manca E, Mandorli G, Matos Figueiredo D, Messineo A, Musich M, Palla F, Parolia S, Ramirez-Sanchez G, Rizzi A, Rolandi G, Roy Chowdhury S, Sarkar T, Scribano A, Shafiei N, Spagnolo P, Tenchini R, Tonelli G, Turini N, Venturi A, Verdini PG, Barria P, Campana M, Cavallari F, Del Re D, Di Marco E, Diemoz M, Longo E, Meridiani P, Organtini G, Pandolfi F, Paramatti R, Quaranta C, Rahatlou S, Rovelli C, Santanastasio F, Soffi L, Tramontano R, Amapane N, Arcidiacono R, Argiro S, Arneodo M, Bartosik N, Bellan R, Bellora A, Berenguer Antequera J, Biino C, Cartiglia N, Costa M, Covarelli R, Demaria N, Grippo M, Kiani B, Legger F, Mariotti C, Maselli S, Mecca A, Migliore E, Monteil E, Monteno M, Obertino MM, Ortona G, Pacher L, Pastrone N, Pelliccioni M, Ruspa M, Shchelina K, Siviero F, Sola V, Solano A, Soldi D, Staiano A, Tornago M, Trocino D, Umoret G, Vagnerini A, Belforte S, Candelise V, Casarsa M, Cossutti F, Da Rold A, Della Ricca G, Sorrentino G, Dogra S, Huh C, Kim B, Kim DH, Kim GN, Kim J, Lee J, Lee SW, Moon CS, Oh YD, Pak SI, Ryu MS, Sekmen S, Yang YC, Kim H, Moon DH, Asilar E, Kim TJ, Park J, Cho S, Choi S, Han S, Hong B, Lee K, Lee KS, Lim J, Park J, Park SK, Yoo J, Goh J, Kim HS, Kim Y, Lee S, Almond J, Bhyun JH, Choi J, Jeon S, Jun W, Kim J, Kim J, Kim JS, Ko S, Kwon H, Lee H, Lee J, Lee S, Oh BH, Oh M, Oh SB, Seo H, Yang UK, Yoon I, Jang W, Kang DY, Kang Y, Kim D, Kim S, Ko B, Lee JSH, Lee Y, Merlin JA, Park IC, Roh Y, Song D, Watson IJ, Yang S, Ha S, Yoo HD, Choi M, Kim MR, Lee H, Lee Y, Lee Y, Yu I, Beyrouthy T, Maghrbi Y, Dreimanis K, Gaile A, Potrebko A, Torims T, Veckalns V, Ambrozas M, Carvalho Antunes De Oliveira A, Juodagalvis A, Rinkevicius A, Tamulaitis G, Bin Norjoharuddeen N, Hoh SY, Yusuff I, Zolkapli Z, Benitez JF, Castaneda Hernandez A, Encinas Acosta HA, Gallegos Maríñez LG, León Coello M, Murillo Quijada JA, Sehrawat A, Valencia Palomo L, Ayala G, Castilla-Valdez H, Heredia-De La Cruz I, Lopez-Fernandez R, Mondragon Herrera CA, Perez Navarro DA, Sánchez Hernández A, Oropeza Barrera C, Vazquez Valencia F, Pedraza I, Salazar Ibarguen HA, Uribe Estrada C, Bubanja I, Mijuskovic J, Raicevic N, Ahmad A, Asghar MI, Awais A, Awan MIM, Gul M, Hoorani HR, Khan WA, Shoaib M, Waqas M, Avati V, Grzanka L, Malawski M, Bialkowska H, Bluj M, Boimska B, Górski M, Kazana M, Szleper M, Zalewski P, Bunkowski K, Doroba K, Kalinowski A, Konecki M, Krolikowski J, Araujo M, Bargassa P, Bastos D, Boletti A, Faccioli P, Gallinaro M, Hollar J, Leonardo N, Niknejad T, Pisano M, Seixas J, Toldaiev O, Varela J, Adzic P, Dordevic M, Milenovic P, Milosevic J, Aguilar-Benitez M, Alcaraz Maestre J, Álvarez Fernández A, Barrio Luna M, Bedoya CF, Carrillo Montoya CA, Cepeda M, Cerrada M, Colino N, De La Cruz B, Delgado Peris A, Fernández Del Val D, Fernández Ramos JP, Flix J, Fouz MC, Gonzalez Lopez O, Goy Lopez S, Hernandez JM, Josa MI, León Holgado J, Moran D, Perez Dengra C, Pérez-Calero Yzquierdo A, Puerta Pelayo J, Redondo I, Redondo Ferrero DD, Romero L, Sánchez Navas S, Sastre J, Urda Gómez L, Vazquez Escobar J, Willmott C, de Trocóniz JF, Alvarez Gonzalez B, Cuevas J, Fernandez Menendez J, Folgueras S, Gonzalez Caballero I, González Fernández JR, Palencia Cortezon E, Ramón Álvarez C, Rodríguez Bouza V, Soto Rodríguez A, Trapote A, Vico Villalba C, Brochero Cifuentes JA, Cabrillo IJ, Calderon A, Duarte Campderros J, Fernandez M, Fernandez Madrazo C, García Alonso A, Gomez G, Lasaosa García C, Martinez Rivero C, Martinez Ruiz Del Arbol P, Matorras F, Matorras Cuevas P, Piedra Gomez J, Prieels C, Ruiz-Jimeno A, Scodellaro L, Vila I, Vizan Garcia JM, Jayananda MK, Kailasapathy B, Sonnadara DUJ, Wickramarathna DDC, Dharmaratna WGD, Liyanage K, Perera N, Wickramage N, Abbaneo D, Alimena J, Auffray E, Auzinger G, Baechler J, Baillon P, Barney D, Bendavid J, Bianco M, Bilin B, Bocci A, Brondolin E, Caillol C, Camporesi T, Cerminara G, Chernyavskaya N, Chhibra SS, Choudhury S, Cipriani M, Cristella L, d'Enterria D, Dabrowski A, David A, De Roeck A, Defranchis MM, Deile M, Dobson M, Dünser M, Dupont N, Elliott-Peisert A, Fallavollita F, Florent A, Forthomme L, Franzoni G, Funk W, Ghosh S, Giani S, Gigi D, Gill K, Glege F, Gouskos L, Govorkova E, Haranko M, Hegeman J, Innocente V, James T, Janot P, Kaspar J, Kieseler J, Kratochwil N, Laurila S, Lecoq P, Leutgeb E, Lintuluoto A, Lourenço C, Maier B, Malgeri L, Mannelli M, Marini AC, Meijers F, Mersi S, Meschi E, Moortgat F, Mulders M, Orfanelli S, Orsini L, Pantaleo F, Perez E, Peruzzi M, Petrilli A, Petrucciani G, Pfeiffer A, Pierini M, Piparo D, Pitt M, Qu H, Quast T, Rabady D, Racz A, Reales Gutiérrez G, Rovere M, Sakulin H, Salfeld-Nebgen J, Scarfi S, Selvaggi M, Sharma A, Silva P, Sphicas P, Stahl Leiton AG, Summers S, Tatar K, Tavolaro VR, Treille D, Tropea P, Tsirou A, Wanczyk J, Wozniak KA, Zeuner WD, Caminada L, Ebrahimi A, Erdmann W, Horisberger R, Ingram Q, Kaestli HC, Kotlinski D, Lange C, Missiroli M, Noehte L, Rohe T, Aarrestad TK, Androsov K, Backhaus M, Berger P, Calandri A, Datta K, De Cosa A, Dissertori G, Dittmar M, Donegà M, Eble F, Galli M, Gedia K, Glessgen F, Gómez Espinosa TA, Grab C, Hits D, Lustermann W, Lyon AM, Manzoni RA, Marchese L, Martin Perez C, Mascellani A, Meinhard MT, Nessi-Tedaldi F, Niedziela J, Pauss F, Perovic V, Pigazzini S, Ratti MG, Reichmann M, Reissel C, Reitenspiess T, Ristic B, Riti F, Ruini D, Sanz Becerra DA, Steggemann J, Valsecchi D, Wallny R, Amsler C, Bärtschi P, Botta C, Brzhechko D, Canelli MF, Cormier K, De Wit A, Del Burgo R, Heikkilä JK, Huwiler M, Jin W, Jofrehei A, Kilminster B, Leontsinis S, Liechti SP, Macchiolo A, Meiring P, Mikuni VM, Molinatti U, Neutelings I, Reimers A, Robmann P, Sanchez Cruz S, Schweiger K, Senger M, Takahashi Y, Adloff C, Kuo CM, Lin W, Yu SS, Ceard L, Chao Y, Chen KF, Chen PS, Cheng H, Hou WS, Li YY, Lu RS, Paganis E, Psallidas A, Steen A, Wu HY, Yazgan E, Yu PR, Asawatangtrakuldee C, Srimanobhas N, Agyel D, Boran F, Demiroglu ZS, Dolek F, Dumanoglu I, Eskut E, Guler Y, Gurpinar Guler E, Isik C, Kara O, Kayis Topaksu A, Kiminsu U, Onengut G, Ozdemir K, Polatoz A, Simsek AE, Tali B, Tok UG, Turkcapar S, Uslan E, Zorbakir IS, Karapinar G, Ocalan K, Yalvac M, Akgun B, Atakisi IO, Gülmez E, Kaya M, Kaya O, Özçelik Ö, Tekten S, Cakir A, Cankocak K, Komurcu Y, Sen S, Aydilek O, Cerci S, Hacisahinoglu B, Hos I, Isildak B, Kaynak B, Ozkorucuklu S, Simsek C, Sunar Cerci D, Grynyov B, Levchuk L, Anthony D, Bhal E, Brooke JJ, Bundock A, Clement E, Cussans D, Flacher H, Glowacki M, Goldstein J, Heath GP, Heath HF, Kreczko L, Krikler B, Paramesvaran S, Seif El Nasr-Storey S, Smith VJ, Stylianou N, Walkingshaw Pass K, White R, Ball AH, Bell KW, Belyaev A, Brew C, Brown RM, Cockerill DJA, Cooke C, Ellis KV, Harder K, Harper S, Holmberg ML, Linacre J, Manolopoulos K, Newbold DM, Olaiya E, Petyt D, Reis T, Salvi G, Schuh T, Shepherd-Themistocleous CH, Tomalin IR, Williams T, Bainbridge R, Bloch P, Bonomally S, Borg J, Breeze S, Brown CE, Buchmuller O, Cacchio V, Cepaitis V, Chahal GS, Colling D, Dancu JS, Dauncey P, Davies G, Davies J, Della Negra M, Fayer S, Fedi G, Hall G, Hassanshahi MH, Howard A, Iles G, Langford J, Lyons L, Magnan AM, Malik S, Martelli A, Mieskolainen M, Monk DG, Nash J, Pesaresi M, Radburn-Smith BC, Raymond DM, Richards A, Rose A, Scott E, Seez C, Shtipliyski A, Shukla R, Tapper A, Uchida K, Uttley GP, Vage LH, Virdee T, Vojinovic M, Wardle N, Webb SN, Winterbottom D, Coldham K, Cole JE, Khan A, Kyberd P, Reid ID, Abdullin S, Brinkerhoff A, Caraway B, Dittmann J, Hatakeyama K, Kanuganti AR, McMaster B, Saunders M, Sawant S, Sutantawibul C, Wilson J, Bartek R, Dominguez A, Uniyal R, Vargas Hernandez AM, Buccilli A, Cooper SI, Di Croce D, Gleyzer SV, Henderson C, Perez CU, Rumerio P, West C, Akpinar A, Albert A, Arcaro D, Cosby C, Demiragli Z, Erice C, Fontanesi E, Gastler D, May S, Rohlf J, Salyer K, Sperka D, Spitzbart D, Suarez I, Tsatsos A, Yuan S, Benelli G, Burkle B, Coubez X, Cutts D, Hadley M, Heintz U, Hogan JM, Kwon T, Landsberg G, Lau KT, Li D, Luo J, Narain M, Pervan N, Sagir S, Simpson F, Usai E, Wong WY, Yan X, Yu D, Zhang W, Bonilla J, Brainerd C, Breedon R, Calderon De La Barca Sanchez M, Chertok M, Conway J, Cox PT, Erbacher R, Haza G, Jensen F, Kukral O, Mocellin G, Mulhearn M, Pellett D, Regnery B, Taylor D, Yao Y, Zhang F, Bachtis M, Cousins R, Datta A, Hamilton D, Hauser J, Ignatenko M, Iqbal MA, Lam T, Nash WA, Regnard S, Saltzberg D, Stone B, Valuev V, Chen Y, Clare R, Gary JW, Gordon M, Hanson G, Karapostoli G, Long OR, Manganelli N, Si W, Wimpenny S, Branson JG, Chang P, Cittolin S, Cooperstein S, Diaz D, Duarte J, Gerosa R, Giannini L, Guiang J, Kansal R, Krutelyov V, Lee R, Letts J, Masciovecchio M, Mokhtar F, Pieri M, Sathia Narayanan BV, Sharma V, Tadel M, Würthwein F, Xiang Y, Yagil A, Amin N, Campagnari C, Citron M, Collura G, Dorsett A, Dutta V, Incandela J, Kilpatrick M, Kim J, Li AJ, Marsh B, Masterson P, Mei H, Oshiro M, Quinnan M, Richman J, Sarica U, Schmitz R, Setti F, Sheplock J, Siddireddy P, Stuart D, Wang S, Bornheim A, Cerri O, Dutta I, Lawhorn JM, Lu N, Mao J, Newman HB, Nguyen TQ, Spiropulu M, Vlimant JR, Wang C, Xie S, Zhu RY, Alison J, An S, Andrews MB, Bryant P, Ferguson T, Harilal A, Liu C, Mudholkar T, Murthy S, Paulini M, Roberts A, Sanchez A, Terrill W, Cumalat JP, Ford WT, Hassani A, Karathanasis G, MacDonald E, Marini F, Patel R, Perloff A, Savard C, Schonbeck N, Stenson K, Ulmer KA, Wagner SR, Zipper N, Alexander J, Bright-Thonney S, Chen X, Cranshaw DJ, Fan J, Fan X, Gadkari D, Hogan S, Monroy J, Patterson JR, Quach D, Reichert J, Reid M, Ryd A, Thom J, Wittich P, Zou R, Albrow M, Alyari M, Apollinari G, Apresyan A, Bauerdick LAT, Berry D, Berryhill J, Bhat PC, Burkett K, Butler JN, Canepa A, Cerati GB, Cheung HWK, Chlebana F, Di Petrillo KF, Dickinson J, Elvira VD, Feng Y, Freeman J, Gandrakota A, Gecse Z, Gray L, Green D, Grünendahl S, Gutsche O, Harris RM, Heller R, Herwig TC, Hirschauer J, Horyn L, Jayatilaka B, Jindariani S, Johnson M, Joshi U, Klijnsma T, Klima B, Kwok KHM, Lammel S, Lincoln D, Lipton R, Liu T, Madrid C, Maeshima K, Mantilla C, Mason D, McBride P, Merkel P, Mrenna S, Nahn S, Ngadiuba J, Noonan D, Papadimitriou V, Pastika N, Pedro K, Pena C, Ravera F, Reinsvold Hall A, Ristori L, Sexton-Kennedy E, Smith N, Soha A, Spiegel L, Strait J, Taylor L, Tkaczyk S, Tran NV, Uplegger L, Vaandering EW, Weber HA, Zoi I, Avery P, Bourilkov D, Cadamuro L, Cherepanov V, Field RD, Guerrero D, Kim M, Koenig E, Konigsberg J, Korytov A, Lo KH, Matchev K, Menendez N, Mitselmakher G, Muthirakalayil Madhu A, Rawal N, Rosenzweig D, Rosenzweig S, Shi K, Wang J, Wu Z, Adams T, Askew A, Habibullah R, Hagopian V, Khurana R, Kolberg T, Martinez G, Prosper H, Schiber C, Viazlo O, Yohay R, Zhang J, Baarmand MM, Butalla S, Elkafrawy T, Hohlmann M, Kumar Verma R, Rahmani M, Yumiceva F, Adams MR, Becerril Gonzalez H, Cavanaugh R, Dittmer S, Evdokimov O, Gerber CE, Hofman DJ, Lemos DS, Merrit AH, Mills C, Oh G, Roy T, Rudrabhatla S, Tonjes MB, Varelas N, Wang X, Ye Z, Yoo J, Alhusseini M, Dilsiz K, Emediato L, Gandrajula RP, Karaman G, Köseyan OK, Merlo JP, Mestvirishvili A, Nachtman J, Neogi O, Ogul H, Onel Y, Penzo A, Snyder C, Tiras E, Amram O, Blumenfeld B, Corcodilos L, Davis J, Gritsan AV, Kang L, Kyriacou S, Maksimovic P, Roskes J, Sekhar S, Swartz M, Vámi TÁ, Abreu A, Alcerro Alcerro LF, Anguiano J, Baringer P, Bean A, Flowers Z, Isidori T, Khalil S, King J, Krintiras G, Lazarovits M, Le Mahieu C, Lindsey C, Marquez J, Minafra N, Murray M, Nickel M, Rogan C, Royon C, Salvatico R, Sanders S, Schmitz E, Smith C, Wang Q, Williams J, Wilson G, Allmond B, Duric S, Gujju Gurunadha R, Ivanov A, Kaadze K, Kim D, Maravin Y, Mitchell T, Modak A, Nam K, Natoli J, Roy D, Rebassoo F, Wright D, Adams E, Baden A, Baron O, Belloni A, Bethani A, Eno SC, Hadley NJ, Jabeen S, Kellogg RG, Koeth T, Lai Y, Lascio S, Mignerey AC, Nabili S, Palmer C, Papageorgakis C, Seidel M, Wang L, Wong K, Abercrombie D, Bi R, Busza W, Cali IA, Chen Y, D'Alfonso M, Eysermans J, Freer C, Gomez-Ceballos G, Goncharov M, Harris P, Hu M, Kovalskyi D, Krupa J, Lee YJ, Long K, Mironov C, Paus C, Rankin D, Roland C, Roland G, Shi Z, Stephans GSF, Wang J, Wang Z, Wyslouch B, Chatterjee RM, Crossman B, Evans A, Hiltbrand J, Jain S, Joshi BM, Kapsiak C, Krohn M, Kubota Y, Mans J, Revering M, Rusack R, Saradhy R, Schroeder N, Strobbe N, Wadud MA, Cremaldi LM, Bloom K, Bryson M, Claes DR, Fangmeier C, Finco L, Golf F, Joo C, Kravchenko I, Reed I, Siado JE, Snow GR, Tabb W, Wightman A, Yan F, Zecchinelli AG, Agarwal G, Bandyopadhyay H, Hay L, Iashvili I, Kharchilava A, McLean C, Morris M, Nguyen D, Pekkanen J, Rappoccio S, Williams A, Alverson G, Barberis E, Haddad Y, Han Y, Krishna A, Li J, Lidrych J, Madigan G, Marzocchi B, Morse DM, Nguyen V, Orimoto T, Parker A, Skinnari L, Tishelman-Charny A, Wamorkar T, Wang B, Wisecarver A, Wood D, Bhattacharya S, Bueghly J, Chen Z, Gilbert A, Gunter T, Hahn KA, Liu Y, Odell N, Schmitt MH, Velasco M, Band R, Bucci R, Castells S, Cremonesi M, Das A, Goldouzian R, Hildreth M, Hurtado Anampa K, Jessop C, Lannon K, Lawrence J, Loukas N, Lutton L, Mariano J, Marinelli N, Mcalister I, McCauley T, Mcgrady C, Mohrman K, Moore C, Musienko Y, Nelson H, Ruchti R, Townsend A, Wayne M, Yockey H, Zarucki M, Zygala L, Bylsma B, Carrigan M, Durkin LS, Francis B, Hill C, Lesauvage A, Nunez Ornelas M, Wei K, Winer BL, Yates BR, Addesa FM, Bonham B, Das P, Dezoort G, Elmer P, Frankenthal A, Greenberg B, Haubrich N, Higginbotham S, Kalogeropoulos A, Kopp G, Kwan S, Lange D, Marlow D, Mei K, Ojalvo I, Olsen J, Stickland D, Tully C, Malik S, Norberg S, Bakshi AS, Barnes VE, Chawla R, Das S, Gutay L, Jones M, Jung AW, Kondratyev D, Koshy AM, Liu M, Negro G, Neumeister N, Paspalaki G, Piperov S, Purohit A, Schulte JF, Stojanovic M, Thieman J, Wang F, Xiao R, Xie W, Dolen J, Parashar N, Acosta D, Baty A, Carnahan T, Decaro M, Dildick S, Ecklund KM, Fernández Manteca PJ, Freed S, Gardner P, Geurts FJM, Kumar A, Li W, Padley BP, Redjimi R, Rotter J, Shi W, Yang S, Yigitbasi E, Zhang L, Zhang Y, Zuo X, Bodek A, de Barbaro P, Demina R, Dulemba JL, Fallon C, Ferbel T, Galanti M, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Ranken E, Taus R, Van Onsem GP, Goulianos K, Chiarito B, Chou JP, Gershtein Y, Halkiadakis E, Hart A, Heindl M, Jaroslawski D, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Osherson M, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Wang H, Acharya H, Delannoy AG, Fiorendi S, Holmes T, Nibigira E, Spanier S, Bouhali O, Dalchenko M, Delgado A, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo S, Malhotra S, Mueller R, Overton D, Rathjens D, Safonov A, Akchurin N, Damgov J, Hegde V, Lamichhane K, Lee SW, Mengke T, Muthumuni S, Peltola T, Volobouev I, Wang Z, Whitbeck A, Appelt E, Greene S, Gurrola A, Johns W, Melo A, Romeo F, Sheldon P, Tuo S, Velkovska J, Viinikainen J, Cardwell B, Cox B, Cummings G, Hakala J, Hirosky R, Joyce M, Ledovskoy A, Li A, Neu C, Perez Lara CE, Tannenwald B, Karchin PE, Poudyal N, Banerjee S, Black K, Bose T, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Herve A, Koraka CK, Lanaro A, Loeliger A, Loveless R, Madhusudanan Sreekala J, Mallampalli A, Mohammadi A, Mondal S, Parida G, Pinna D, Savin A, Shang V, Sharma V, Smith WH, Teague D, Tsoi HF, Vetens W, Afanasiev S, Andreev V, Andreev Y, Aushev T, Azarkin M, Babaev A, Belyaev A, Blinov V, Boos E, Borshch V, Budkouski D, Bunichev V, Chekhovsky V, Chistov R, Danilov M, Dermenev A, Dimova T, Dremin I, Dubinin M, Dudko L, Epshteyn V, Ershov A, Gavrilov G, Gavrilov V, Gninenko S, Golovtcov V, Golubev N, Golutvin I, Gorbunov I, Ivanchenko V, Ivanov Y, Kachanov V, Kardapoltsev L, Karjavine V, Karneyeu A, Kim V, Kirakosyan M, Kirpichnikov D, Kirsanov M, Klyukhin V, Kodolova O, Konstantinov D, Korenkov V, Kozyrev A, Krasnikov N, Kuznetsova E, Lanev A, Levchenko P, Litomin A, Lychkovskaya N, Makarenko V, Malakhov A, Matveev V, Murzin V, Nikitenko A, Obraztsov S, Okhotnikov V, Oskin A, Ovtin I, Palichik V, Parygin P, Perelygin V, Perfilov M, Petrushanko S, Pivovarov G, Polikarpov S, Popov V, Radchenko O, Savina M, Savrin V, Selivanova D, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Slabospitskii S, Smirnov V, Sosnov D, Stepennov A, Sulimov V, Tcherniaev E, Terkulov A, Teryaev O, Tlisova I, Toms M, Toropin A, Uvarov L, Uzunian A, Vlasov E, Vorobyev A, Voytishin N, Yuldashev BS, Zarubin A, Zhizhin I, Zhokin A. Probing Heavy Majorana Neutrinos and the Weinberg Operator through Vector Boson Fusion Processes in Proton-Proton Collisions at sqrt[s]=13 TeV. PHYSICAL REVIEW LETTERS 2023; 131:011803. [PMID: 37478454 DOI: 10.1103/physrevlett.131.011803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 08/31/2022] [Indexed: 07/23/2023]
Abstract
The first search exploiting the vector boson fusion process to probe heavy Majorana neutrinos and the Weinberg operator at the LHC is presented. The search is performed in the same-sign dimuon final state using a proton-proton collision dataset recorded at sqrt[s]=13 TeV, collected with the CMS detector and corresponding to a total integrated luminosity of 138 fb^{-1}. The results are found to agree with the predictions of the standard model. For heavy Majorana neutrinos, constraints on the squared mixing element between the muon and the heavy neutrino are derived in the heavy neutrino mass range 50 GeV-25 TeV; for masses above 650 GeV these are the most stringent constraints from searches at the LHC to date. A first test of the Weinberg operator at colliders provides an observed upper limit at 95% confidence level on the effective μμ Majorana neutrino mass of 10.8 GeV.
Collapse
|
163
|
Li P, Wu Y, Xie Y, Chen F, Chen SS, Li YH, Lu QQ, Li J, Li YW, Pei DX, Chen YJ, Chen H, Li Y, Wang W, Wang H, Yu HT, Ba Z, Cheng D, Ning LP, Luo CL, Qin XS, Zhang J, Wu N, Xie HJ, Pan JH, Shui J, Wang J, Yang JP, Liu XH, Xu FX, Yang L, Hu LY, Zhang Q, Li B, Liu QL, Zhang M, Shen SJ, Jiang MM, Wu Y, Hu JW, Liu SQ, Gu DY, Xie XB. [HbA1c comparison and diagnostic efficacy analysis of multi center different glycosylated hemoglobin detection systems]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2023; 57:1047-1058. [PMID: 37482740 DOI: 10.3760/cma.j.cn112150-20221221-01220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Objective: Compare and analyze the results of the domestic Lanyi AH600 glycated hemoglobin analyzer and other different detection systems to understand the comparability of the detection results of different detectors, and establish the best cut point of Lanyi AH600 determination of haemoglobin A1c (HbA1c) in the diagnosis of diabetes. Methods: Multi center cohort study was adopted. The clinical laboratory departments of 18 medical institutions independently collected test samples from their respective hospitals from March to April 2022, and independently completed comparative analysis of the evaluated instrument (Lanyi AH600) and the reference instrument HbA1c. The reference instruments include four different brands of glycosylated hemoglobin meters, including Arkray, Bio-Rad, DOSOH, and Huizhong. Scatter plot was used to calculate the correlation between the results of different detection systems, and the regression equation was calculated. The consistency analysis between the results of different detection systems was evaluated by Bland Altman method. Consistency judgment principles: (1) When the 95% limits of agreement (95% LoA) of the measurement difference was within 0.4% HbA1c and the measurement score was≥80 points, the comparison consistency was good; (2) When the measurement difference of 95% LoA exceeded 0.4% HbA1c, and the measurement score was≥80 points, the comparison consistency was relatively good; (3) The measurement score was less than 80 points, the comparison consistency was poor. The difference between the results of different detection systems was tested by paired sample T test or Wilcoxon paired sign rank sum test; The best cut-off point of diabetes was analyzed by receiver operating characteristic curve (ROC). Results: The correlation coefficient R2 of results between Lanyi AH600 and the reference instrument in 16 hospitals is≥0.99; The Bland Altman consistency analysis showed that the difference of 95% LoA in Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180) was -0.486%-0.325%, and the measurement score was 94.6 points (473/500); The difference of 95% LoA in the Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant II) was -0.727%-0.612%, and the measurement score was 89.8 points; The difference of 95% LoA in the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT) was -0.231%-0.461%, and the measurement score was 96.6 points; The difference of 95% LoA in the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT) was -0.469%-0.479%, and the measurement score was 91.9 points. The other 14 hospitals, Lanyi AH600, were compared with 4 reference instrument brands, the difference of 95% LoA was less than 0.4% HbA1c, and the scores were all greater than 95 points. The results of paired sample T test or Wilcoxon paired sign rank sum test showed that there was no statistically significant difference between Lanyi AH600 and the reference instrument Arkray HA8180 (Z=1.665,P=0.096), with no statistical difference. The mean difference between the measured values of the two instruments was 0.004%. The comparison data of Lanyi AH600 and the reference instrument of all other institutions had significant differences (all P<0.001), however, it was necessary to consider whether it was within the clinical acceptable range in combination with the results of the Bland-Altman consistency analysis. The ROC curve of HbA1c detected by Lanyi AH600 in 985 patients with diabetes and 3 423 patients with non-diabetes was analyzed, the area under curve (AUC) was 0.877, the standard error was 0.007, and the 95% confidence interval 95%CI was (0.864, 0.891), which was statistically significant (P<0.001). The maximum value of Youden index was 0.634, and the corresponding HbA1c cut point was 6.235%. The sensitivity and specificity of diabetes diagnosis were 76.2% and 87.2%, respectively. Conclusion: Among the hospitals and instruments currently included in this study, among these four hospitals included Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180), Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant Ⅱ), the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT), and the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT), the comparison between Lanyi AH600 and the reference instruments showed relatively good consistency, while the other 14 hospitals involved four different brands of reference instruments: Arkray, Bio-Rad, DOSOH, and Huizhong, Lanyi AH600 had good consistency with its comparison. The best cut point of the domestic Lanyi AH600 for detecting HbA1c in the diagnosis of diabetes is 6.235%.
Collapse
|
164
|
Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, Damanakis K, Dragicevic M, Valle AED, Frühwirth R, Jeitler M, Krammer N, Lechner L, Liko D, Mikulec I, Paulitsch P, Pitters FM, Schieck J, Schöfbeck R, Schwarz D, Templ S, Waltenberger W, Wulz CE, Darwish MR, De Wolf EA, Janssen T, Kello T, Lelek A, Sfar HR, Mechelen PV, Putte SV, Remortel NV, Bols ES, D’Hondt J, De Moor A, Delcourt M, Faham HE, Lowette S, Moortgat S, Morton A, Müller D, Sahasransu AR, Tavernier S, Doninck WV, Vannerom D, Beghin D, Bilin B, Clerbaux B, De Lentdecker G, Favart L, Kalsi AK, Lee K, Mahdavikhorrami M, Makarenko I, Moureaux L, Paredes S, Pétré L, Popov A, Postiau N, Starling E, Thomas L, Bemden MV, Velde CV, Vanlaer P, Cornelis T, Dobur D, Knolle J, Lambrecht L, Mestdach G, Niedziela M, Rendón C, Roskas C, Samalan A, Skovpen K, Tytgat M, Vermassen B, Wezenbeek L, Benecke A, Bethani A, Bruno G, Bury F, Caputo C, David P, Delaere C, Donertas IS, Giammanco A, Jaffel K, Jain S, Lemaitre V, Mondal K, Prisciandaro J, Taliercio A, Teklishyn M, Tran TT, Vischia P, Wertz S, Alves GA, Hensel C, Moraes A, Teles PR, Júnior WLA, Pereira MAG, Filho MBF, Malbouisson HB, Carvalho W, Chinellato J, Da Costa EM, Da Silveira GG, De Jesus Damiao D, Sousa VDS, De Souza SF, Herrera CM, Amarilo KM, Mundim L, Nogima H, Santoro A, Amaral SMSD, Sznajder A, Thiel M, Da Silva De Araujo FT, Pereira AV, Bernardes CA, Calligaris L, Tomei TRFP, Gregores EM, Lemos DS, Mercadante PG, Novaes SF, Padula SS, Aleksandrov A, Antchev G, Hadjiiska R, Iaydjiev P, Misheva M, Rodozov M, Shopova M, Sultanov G, Dimitrov A, Ivanov T, Litov L, Pavlov B, Petkov P, Petrov A, Cheng T, Javaid T, Mittal M, Yuan L, Ahmad M, Bauer G, Dozen C, Hu Z, Martins J, Wang Y, Yi K, Chapon E, Chen GM, Chen HS, Chen M, Iemmi F, Kapoor A, Leggat D, Liao H, Liu ZA, Milosevic V, Monti F, Sharma R, Tao J, Thomas-Wilsker J, Wang J, Zhang H, Zhao J, Agapitos A, An Y, Ban Y, Chen C, Levin A, Li Q, Lyu X, Mao Y, Qian SJ, Wang D, Xiao J, Yang H, Lu M, You Z, Gao X, Okawa H, Zhang Y, Lin Z, Xiao M, Avila C, Cabrera A, Florez C, Fraga J, Guisao JM, Ramirez F, Alvarez JDR, Giljanovic D, Godinovic N, Lelas D, Puljak I, Antunovic Z, Kovac M, Sculac T, Brigljevic V, Ferencek D, Majumder D, Roguljic M, Starodumov A, Susa T, Attikis A, Christoforou K, Ioannou A, Kole G, Kolosova M, Konstantinou S, Mousa J, Nicolaou C, Ptochos F, Razis PA, Rykaczewski H, Saka H, Finger M, Finger M, Kveton A, Ayala E, Jarrin EC, Abdelalim AA, Elgammal S, Mahmoud MA, Mohammed Y, Bhowmik S, Dewanjee RK, Ehataht K, Kadastik M, Nandan S, Nielsen C, Pata J, Raidal M, Tani L, Veelken C, Eerola P, Kirschenmann H, Osterberg K, Voutilainen M, Bharthuar S, Brücken E, Garcia F, Havukainen J, Kim MS, Kinnunen R, Lampén T, Lassila-Perini K, Lehti S, Lindén T, Lotti M, Martikainen L, Myllymäki M, Ott J, Siikonen H, Tuominen E, Tuominiemi J, Luukka P, Petrow H, Tuuva T, Amendola C, Besancon M, Couderc F, Dejardin M, Denegri D, Faure JL, Ferri F, Ganjour S, Gras P, de Monchenault GH, Jarry P, Lenzi B, Locci E, Malcles J, Rander J, Rosowsky A, Sahin M, Savoy-Navarro A, Titov M, Yu GB, Ahuja S, Beaudette F, Bonanomi M, Perraguin AB, Busson P, Cappati A, Charlot C, Davignon O, Diab B, Falmagne G, Ghosh S, de Cassagnac RG, Hakimi A, Kucher I, Motta J, Nguyen M, Ochando C, Paganini P, Rembser J, Salerno R, Sarkar U, Sauvan JB, Sirois Y, Tarabini A, Zabi A, Zghiche A, Agram JL, Andrea J, Apparu D, Bloch D, Bourgatte G, Brom JM, Chabert EC, Collard C, Darej D, Fontaine JC, Goerlach U, Grimault C, Bihan ACL, Nibigira E, Hove PV, Asilar E, Beauceron S, Bernet C, Boudoul G, Camen C, Carle A, Chanon N, Contardo D, Depasse P, Mamouni HE, Fay J, Gascon S, Gouzevitch M, Ille B, Laktineh IB, Lattaud H, Lesauvage A, Lethuillier M, Mirabito L, Perries S, Shchablo K, Sordini V, Torterotot L, Touquet G, Donckt MV, Viret S, Bagaturia I, Lomidze I, Tsamalaidze Z, Botta V, Feld L, Klein K, Lipinski M, Meuser D, Pauls A, Röwert N, Schulz J, Teroerde M, Dodonova A, Eliseev D, Erdmann M, Fackeldey P, Fischer B, Hebbeker T, Hoepfner K, Ivone F, Mastrolorenzo L, Merschmeyer M, Meyer A, Mocellin G, Mondal S, Mukherjee S, Noll D, Novak A, Pozdnyakov A, Rath Y, Reithler H, Schmidt A, Schuler SC, Sharma A, Vigilante L, Wiedenbeck S, Zaleski S, Dziwok C, Flügge G, Ahmad WH, Hlushchenko O, Kress T, Nowack A, Pooth O, Roy D, Stahl A, Ziemons T, Zotz A, Petersen HA, Martin MA, Asmuss P, Baxter S, Bayatmakou M, Behnke O, Martínez AB, Bhattacharya S, Anuar AAB, Blekman F, Borras K, Brunner D, Campbell A, Cardini A, Cheng C, Colombina F, Rodríguez SC, Silva GC, Danilov V, De Silva M, Didukh L, Eckerlin G, Eckstein D, Banos LIE, Filatov O, Gallo E, Geiser A, Giraldi A, Grohsjean A, Guthoff M, Jafari A, Jomhari NZ, Kasem A, Kasemann M, Kaveh H, Kleinwort C, Kogler R, Krücker D, Lange W, Lipka K, Lohmann W, Mankel R, Melzer-Pellmann IA, Morentin MM, Metwally J, Meyer AB, Meyer M, Mnich J, Mussgiller A, Nürnberg A, Otarid Y, Adán DP, Pitzl D, Raspereza A, Lopes BR, Rübenach J, Saggio A, Saibel A, Savitskyi M, Scham M, Scheurer V, Schnake S, Schütze P, Schwanenberger C, Shchedrolosiev M, Ricardo RES, Stafford D, Tonon N, De Klundert MV, Vazzoler F, Walsh R, Walter D, Wang Q, Wen Y, Wichmann K, Wiens L, Wissing C, Wuchterl S, Aggleton R, Albrecht S, Bein S, Benato L, Connor P, De Leo K, Eich M, Morabit KE, Feindt F, Fröhlich A, Garbers C, Garutti E, Gunnellini P, Hajheidari M, Haller J, Hinzmann A, Kasieczka G, Klanner R, Kramer T, Kutzner V, Lange J, Lange T, Lobanov A, Malara A, Mehta A, Nigamova A, Rodriguez KJP, Rieger M, Rieger O, Schleper P, Schröder M, Schwandt J, Sonneveld J, Stadie H, Steinbrück G, Tews A, Zoi I, Bechtel J, Brommer S, Burkart M, Butz E, Caspart R, Chwalek T, De Boer W, Dierlamm A, Droll A, Faltermann N, Giffels M, Gosewisch JO, Gottmann A, Hartmann F, Heidecker C, Husemann U, Keicher P, Koppenhöfer R, Maier S, Metzler M, Mitra S, Müller T, Neukum M, Quast G, Rabbertz K, Rauser J, Savoiu D, Schnepf M, Seith D, Shvetsov I, Simonis HJ, Ulrich R, Linden JVD, Cube RFV, Wassmer M, Weber M, Wieland S, Wolf R, Wozniewski S, Wunsch S, Anagnostou G, Daskalakis G, Kyriakis A, Stakia A, Diamantopoulou M, Karasavvas D, Kontaxakis P, Koraka CK, Manousakis-Katsikakis A, Panagiotou A, Papavergou I, Saoulidou N, Theofilatos K, Tziaferi E, Vellidis K, Vourliotis E, Bakas G, Kousouris K, Papakrivopoulos I, Tsipolitis G, Zacharopoulou A, Adamidis K, Bestintzanos I, Evangelou I, Foudas C, Gianneios P, Katsoulis P, Kokkas P, Manthos N, Papadopoulos I, Strologas J, Csanád M, Farkas K, Gadallah MMA, Lökös S, Major P, Mandal K, Pásztor G, Rádl AJ, Surányi O, Veres GI, Bartók M, Bencze G, Hajdu C, Horvath D, Sikler F, Veszpremi V, Czellar S, Fasanella D, Fienga F, Karancsi J, Molnar J, Szillasi Z, Teyssier D, Raics P, Trocsanyi ZL, Ujvari B, Csorgo T, Nemes F, Novak T, Bansal S, Beri SB, Bhatnagar V, Chaudhary G, Chauhan S, Dhingra N, Gupta R, Kaur A, Kaur H, Kaur M, Kumari P, Meena M, Sandeep K, Singh JB, Virdi AK, Ahmed A, Bhardwaj A, Choudhary BC, Gola M, Keshri S, Kumar A, Naimuddin M, Priyanka P, Ranjan K, Shah A, Bharti M, Bhattacharya R, Bhattacharya S, Bhowmik D, Dutta S, Dutta S, Gomber B, Maity M, Palit P, Rout PK, Saha G, Sahu B, Sarkar S, Sharan M, Behera PK, Behera SC, Kalbhor P, Komaragiri JR, Kumar D, Muhammad A, Panwar L, Pradhan R, Pujahari PR, Sharma A, Sikdar AK, Tiwari PC, Naskar K, Aziz T, Dugad S, Kumar M, Mohanty GB, Banerjee S, Chudasama R, Guchait M, Karmakar S, Kumar S, Majumder G, Mazumdar K, Mukherjee S, Bahinipati S, Kar C, Mal P, Mishra T, Bindhu VKMN, Nayak A, Saha P, Sur N, Swain SK, Vats D, Alpana A, Dube S, Kansal B, Laha A, Pandey S, Rastogi A, Sharma S, Bakhshiansohi H, Khazaie E, Zeinali M, Chenarani S, Etesami SM, Khakzad M, Najafabadi MM, Grunewald M, Abbrescia M, Aly R, Aruta C, Colaleo A, Creanza D, De Filippis N, De Palma M, Florio AD, Pilato AD, Elmetenawee W, Errico F, Fiore L, Gelmi A, Iaselli G, Ince M, Lezki S, Maggi G, Maggi M, Margjeka I, Mastrapasqua V, My S, Nuzzo S, Pellecchia A, Pompili A, Pugliese G, Ramos D, Ranieri A, Selvaggi G, Silvestris L, Simone FM, Sözbilir Ü, Venditti R, Verwilligen P, Abbiendi G, Battilana C, Bonacorsi D, Borgonovi L, Brigliadori L, Campanini R, Capiluppi P, Castro A, Cavallo FR, Ciocca C, Cuffiani M, Dallavalle GM, Diotalevi T, Fabbri F, Fanfani A, Giacomelli P, Giommi L, Grandi C, Guiducci L, Meo SL, Lunerti L, Marcellini S, Masetti G, Navarria FL, Perrotta A, Primavera F, Rossi AM, Rovelli T, Siroli GP, Albergo S, Costa S, Mattia AD, Potenza R, Tricomi A, Tuve C, Barbagli G, Cassese A, Ceccarelli R, Ciulli V, Civinini C, D’Alessandro R, Focardi E, Latino G, Lenzi P, Lizzo M, Meschini M, Paoletti S, Seidita R, Sguazzoni G, Viliani L, Benussi L, Bianco S, Piccolo D, Bozzo M, Ferro F, Mulargia R, Robutti E, Tosi S, Benaglia A, Boldrini G, Brivio F, Cetorelli F, De Guio F, Dinardo ME, Dini P, Gennai S, Ghezzi A, Govoni P, Guzzi L, Lucchini MT, Malberti M, Malvezzi S, Massironi A, Menasce D, Moroni L, Paganoni M, Pedrini D, Pinolini BS, Ragazzi S, Redaelli N, de Fatis TT, Valsecchi D, Zuolo D, Buontempo S, Carnevali F, Cavallo N, De Iorio A, Fabozzi F, Iorio AOM, Lista L, Meola S, Paolucci P, Rossi B, Sciacca C, Azzi P, Bacchetta N, Bisello D, Bortignon P, Bragagnolo A, Carlin R, Checchia P, Dorigo T, Dosselli U, Gasparini F, Gasparini U, Grosso G, Layer L, Lusiani E, Margoni M, Meneguzzo AT, Pazzini J, Ronchese P, Rossin R, Simonetto F, Strong G, Tosi M, Yarar H, Zanetti M, Zotto P, Zucchetta A, Zumerle G, Aimè C, Braghieri A, Calzaferri S, Fiorina D, Montagna P, Ratti SP, Re V, Riccardi C, Salvini P, Vai I, Vitulo P, Asenov P, Bilei GM, Ciangottini D, Fanò L, Magherini M, Mantovani G, Mariani V, Menichelli M, Moscatelli F, Piccinelli A, Presilla M, Rossi A, Santocchia A, Spiga D, Tedeschi T, Azzurri P, Bagliesi G, Bertacchi V, Bianchini L, Boccali T, Bossini E, Castaldi R, Ciocci MA, D’Amante V, Dell’Orso R, Domenico MRD, Donato S, Giassi A, Ligabue F, Manca E, Mandorli G, Figueiredo DM, Messineo A, Musich M, Palla F, Parolia S, Ramirez-Sanchez G, Rizzi A, Rolandi G, Chowdhury SR, Scribano A, Shafiei N, Spagnolo P, Tenchini R, Tonelli G, Turini N, Venturi A, Verdini PG, Barria P, Campana M, Cavallari F, Re DD, Marco ED, Diemoz M, Longo E, Meridiani P, Organtini G, Pandolfi F, Paramatti R, Quaranta C, Rahatlou S, Rovelli C, Santanastasio F, Soffi L, Tramontano R, Amapane N, Arcidiacono R, Argiro S, Arneodo M, Bartosik N, Bellan R, Bellora A, Antequera JB, Biino C, Cartiglia N, Costa M, Covarelli R, Demaria N, Kiani B, Legger F, Mariotti C, Maselli S, Migliore E, Monteil E, Monteno M, Obertino MM, Ortona G, Pacher L, Pastrone N, Pelliccioni M, Ruspa M, Shchelina K, Siviero F, Sola V, Solano A, Soldi D, Staiano A, Tornago M, Trocino D, Vagnerini A, Belforte S, Candelise V, Casarsa M, Cossutti F, Da Rold A, Ricca GD, Sorrentino G, Dogra S, Huh C, Kim B, Kim DH, Kim GN, Kim J, Lee J, Lee SW, Moon CS, Oh YD, Pak SI, Sekmen S, Yang YC, Kim H, Moon DH, Francois B, Kim TJ, Park J, Cho S, Choi S, Hong B, Lee K, Lee KS, Lim J, Park J, Park SK, Yoo J, Goh J, Gurtu A, Kim HS, Kim Y, Almond J, Bhyun JH, Choi J, Jeon S, Kim J, Kim JS, Ko S, Kwon H, Lee H, Lee S, Oh BH, Oh M, Oh SB, Seo H, Yang UK, Yoon I, Jang W, Kang DY, Kang Y, Kim S, Ko B, Lee JSH, Lee Y, Merlin JA, Park IC, Roh Y, Ryu MS, Song D, Watson IJ, Yang S, Ha S, Yoo HD, Choi M, Lee H, Lee Y, Yu I, Beyrouthy T, Maghrbi Y, Dreimanis K, Veckalns V, Ambrozas M, De Oliveira ACA, Juodagalvis A, Rinkevicius A, Tamulaitis G, Norjoharuddeen NB, Zolkapli Z, Benitez JF, Hernandez AC, Acosta HAE, Maríñez LGG, Coello ML, Quijada JAM, Sehrawat A, Palomo LV, Ayala G, Castilla-Valdez H, De La Cruz-Burelo E, La Cruz IHD, Lopez-Fernandez R, Herrera CAM, Navarro DAP, Reyes-Almanza R, Hernández AS, Moreno SC, Barrera CO, Valencia FV, Pedraza I, Ibarguen HAS, Estrada CU, Mijuskovic J, Raicevic N, Krofcheck D, Butler PH, Ahmad A, Asghar MI, Awais A, Awan MIM, Gul M, Hoorani HR, Khan WA, Shah MA, Shoaib M, Waqas M, Avati V, Grzanka L, Malawski M, Bialkowska H, Bluj M, Boimska B, Górski M, Kazana M, Szleper M, Zalewski P, Bunkowski K, Doroba K, Kalinowski A, Konecki M, Krolikowski J, Araujo M, Bargassa P, Bastos D, Boletti A, Faccioli P, Gallinaro M, Hollar J, Leonardo N, Niknejad T, Pisano M, Seixas J, Toldaiev O, Varela J, Adzic P, Dordevic M, Milenovic P, Milosevic J, Aguilar-Benitez M, Maestre JA, Fernández AÁ, Bachiller I, Luna MB, Bedoya CF, Montoya CAC, Cepeda M, Cerrada M, Colino N, De La Cruz B, Peris AD, Ramos JPF, Flix J, Fouz MC, Lopez OG, Lopez SG, Hernandez JM, Josa MI, Holgado JL, Moran D, Tobar ÁN, Dengra CP, Yzquierdo APC, Pelayo JP, Redondo I, Romero L, Navas SS, Gómez LU, Willmott C, de Trocóniz JF, Gonzalez BA, Cuevas J, Erice C, Menendez JF, Folgueras S, Caballero IG, Fernández JRG, Cortezon EP, Álvarez CR, Bouza VR, Rodríguez AS, Trapote A, Trevisani N, Villalba CV, Cifuentes JAB, Cabrillo IJ, Calderon A, Campderros JD, Fernandez M, Madrazo CF, Manteca PJF, Alonso AG, Gomez G, Rivero CM, Arbol PMRD, Matorras F, Cuevas PM, Gomez JP, Prieels C, Ruiz-Jimeno A, Scodellaro L, Vila I, Garcia JMV, Jayananda MK, Kailasapathy B, Sonnadara DUJ, Wickramarathna DDC, Dharmaratna WGD, Liyanage K, Perera N, Wickramage N, Aarrestad TK, Abbaneo D, Alimena J, Auffray E, Auzinger G, Baechler J, Baillon P, Barney D, Bendavid J, Bianco M, Bocci A, Caillol C, Camporesi T, Garrido MC, Cerminara G, Chernyavskaya N, Chhibra SS, Choudhury S, Cipriani M, Cristella L, d’Enterria D, Dabrowski A, David A, De Roeck A, Defranchis MM, Deile M, Dobson M, Dünser M, Dupont N, Elliott-Peisert A, Fallavollita F, Florent A, Forthomme L, Franzoni G, Funk W, Ghosh S, Giani S, Gigi D, Gill K, Glege F, Gouskos L, Govorkova E, Haranko M, Hegeman J, Innocente V, James T, Janot P, Kaspar J, Kieseler J, Komm M, Kratochwil N, Lange C, Laurila S, Lecoq P, Lintuluoto A, Long K, Lourenço C, Maier B, Malgeri L, Mallios S, Mannelli M, Marini AC, Meijers F, Mersi S, Meschi E, Moortgat F, Mulders M, Orfanelli S, Orsini L, Pantaleo F, Perez E, Peruzzi M, Petrilli A, Petrucciani G, Pfeiffer A, Pierini M, Piparo D, Pitt M, Qu H, Quast T, Rabady D, Racz A, Gutiérrez GR, Rovere M, Sakulin H, Salfeld-Nebgen J, Scarfi S, Schäfer C, Selvaggi M, Sharma A, Silva P, Snoeys W, Sphicas P, Summers S, Tatar K, Tavolaro VR, Treille D, Tropea P, Tsirou A, Wanczyk J, Wozniak KA, Zeuner WD, Caminada L, Ebrahimi A, Erdmann W, Horisberger R, Ingram Q, Kaestli HC, Kotlinski D, Missiroli M, Noehte L, Rohe T, Androsov K, Backhaus M, Berger P, Calandri A, De Cosa A, Dissertori G, Dittmar M, Donegà M, Dorfer C, Eble F, Gedia K, Glessgen F, Espinosa TAG, Grab C, Hits D, Lustermann W, Lyon AM, Manzoni RA, Marchese L, Perez CM, Meinhard MT, Nessi-Tedaldi F, Niedziela J, Pauss F, Perovic V, Pigazzini S, Ratti MG, Reichmann M, Reissel C, Reitenspiess T, Ristic B, Ruini D, Becerra DAS, Stampf V, Steggemann J, Wallny R, Amsler C, Bärtschi P, Botta C, Brzhechko D, Canelli MF, Cormier K, De Wit A, Burgo RD, Heikkilä JK, Huwiler M, Jin W, Jofrehei A, Kilminster B, Leontsinis S, Liechti SP, Macchiolo A, Meiring P, Mikuni VM, Molinatti U, Neutelings I, Reimers A, Robmann P, Cruz SS, Schweiger K, Senger M, Takahashi Y, Adloff C, Kuo CM, Lin W, Roy A, Sarkar T, Yu SS, Ceard L, Chao Y, Chen KF, Chen PH, Chen PS, Cheng H, Hou WS, Li Y, Lu RS, Paganis E, Psallidas A, Steen A, Wu HY, Yazgan E, Yu PR, Asavapibhop B, Asawatangtrakuldee C, Srimanobhas N, Boran F, Damarseckin S, Demiroglu ZS, Dolek F, Dumanoglu I, Eskut E, Guler Y, Guler EG, Isik C, Kara O, Topaksu AK, Kiminsu U, Onengut G, Ozdemir K, Polatoz A, Simsek AE, Tali B, Tok UG, Turkcapar S, Zorbakir IS, Karapinar G, Ocalan K, Yalvac M, Akgun B, Atakisi IO, Gülmez E, Kaya M, Kaya O, Özçelik Ö, Tekten S, Yetkin EA, Cakir A, Cankocak K, Komurcu Y, Sen S, Cerci S, Hos I, Isildak B, Kaynak B, Ozkorucuklu S, Sert H, Simsek C, Cerci DS, Zorbilmez C, Grynyov B, Levchuk L, Anthony D, Bhal E, Bologna S, Brooke JJ, Bundock A, Clement E, Cussans D, Flacher H, Goldstein J, Heath GP, Heath HF, Kreczko L, Krikler B, Paramesvaran S, Nasr-Storey SSE, Smith VJ, Stylianou N, Taylor J, Pass KW, White R, Bell KW, Belyaev A, Brew C, Brown RM, Cockerill DJA, Cooke C, Ellis KV, Harder K, Harper S, Holmberg ML, Linacre J, Manolopoulos K, Newbold DM, Olaiya E, Petyt D, Reis T, Schuh T, Shepherd-Themistocleous CH, Tomalin IR, Williams T, Bainbridge R, Bloch P, Bonomally S, Borg J, Breeze S, Buchmuller O, Cepaitis V, Chahal GS, Colling D, Dauncey P, Davies G, Negra MD, Fayer S, Fedi G, Hall G, Hassanshahi MH, Iles G, Langford J, Lyons L, Magnan AM, Malik S, Martelli A, Monk DG, Nash J, Pesaresi M, Radburn-Smith BC, Raymond DM, Richards A, Rose A, Scott E, Seez C, Shtipliyski A, Tapper A, Uchida K, Virdee T, Vojinovic M, Wardle N, Webb SN, Winterbottom D, Coldham K, Cole JE, Khan A, Kyberd P, Reid ID, Teodorescu L, Zahid S, Abdullin S, Brinkerhoff A, Caraway B, Dittmann J, Hatakeyama K, Kanuganti AR, McMaster B, Pastika N, Saunders M, Sawant S, Sutantawibul C, Wilson J, Bartek R, Dominguez A, Uniyal R, Hernandez AMV, Buccilli A, Cooper SI, Croce DD, Gleyzer SV, Henderson C, Perez CU, Rumerio P, West C, Akpinar A, Albert A, Arcaro D, Cosby C, Demiragli Z, Fontanesi E, Gastler D, May S, Rohlf J, Salyer K, Sperka D, Spitzbart D, Suarez I, Tsatsos A, Yuan S, Zou D, Benelli G, Burkle B, Coubez X, Cutts D, Hadley M, Heintz U, Hogan JM, Kwon T, Landsberg G, Lau KT, Li D, Lukasik M, Luo J, Narain M, Pervan N, Sagir S, Simpson F, Usai E, Wong WY, Yan X, Yu D, Zhang W, Bonilla J, Brainerd C, Breedon R, De La Barca Sanchez MC, Chertok M, Conway J, Cox PT, Erbacher R, Haza G, Jensen F, Kukral O, Lander R, Mulhearn M, Pellett D, Regnery B, Taylor D, Yao Y, Zhang F, Bachtis M, Cousins R, Datta A, Hamilton D, Hauser J, Ignatenko M, Iqbal MA, Lam T, Nash WA, Regnard S, Saltzberg D, Stone B, Valuev V, Chen Y, Clare R, Gary JW, Gordon M, Hanson G, Karapostoli G, Long OR, Manganelli N, Si W, Wimpenny S, Zhang Y, Branson JG, Chang P, Cittolin S, Cooperstein S, Deelen N, Diaz D, Duarte J, Gerosa R, Giannini L, Guiang J, Kansal R, Krutelyov V, Lee R, Letts J, Masciovecchio M, Mokhtar F, Pieri M, Narayanan BVS, Sharma V, Tadel M, Würthwein F, Xiang Y, Yagil A, Amin N, Campagnari C, Citron M, Collura G, Dorsett A, Dutta V, Incandela J, Kilpatrick M, Kim J, Marsh B, Mei H, Oshiro M, Quinnan M, Richman J, Sarica U, Setti F, Sheplock J, Siddireddy P, Stuart D, Wang S, Bornheim A, Cerri O, Dutta I, Lawhorn JM, Lu N, Mao J, Newman HB, Nguyen TQ, Spiropulu M, Vlimant JR, Wang C, Xie S, Zhang Z, Zhu RY, Alison J, An S, Andrews MB, Bryant P, Ferguson T, Harilal A, Liu C, Mudholkar T, Paulini M, Sanchez A, Terrill W, Cumalat JP, Ford WT, Hassani A, Karathanasis G, MacDonald E, Patel R, Perloff A, Savard C, Schonbeck N, Stenson K, Ulmer KA, Wagner SR, Zipper N, Alexander J, Bright-Thonney S, Chen X, Cheng Y, Cranshaw DJ, Hogan S, Monroy J, Patterson JR, Quach D, Reichert J, Reid M, Ryd A, Sun W, Thom J, Wittich P, Zou R, Albrow M, Alyari M, Apollinari G, Apresyan A, Apyan A, Bauerdick LAT, Berry D, Berryhill J, Bhat PC, Burkett K, Butler JN, Canepa A, Cerati GB, Cheung HWK, Chlebana F, Petrillo KFD, Dickinson J, Elvira VD, Feng Y, Freeman J, Gecse Z, Gray L, Green D, Grünendahl S, Gutsche O, Harris RM, Heller R, Herwig TC, Hirschauer J, Jayatilaka B, Jindariani S, Johnson M, Joshi U, Klijnsma T, Klima B, Kwok KHM, Lammel S, Lincoln D, Lipton R, Liu T, Madrid C, Maeshima K, Mantilla C, Mason D, McBride P, Merkel P, Mrenna S, Nahn S, Ngadiuba J, Papadimitriou V, Pedro K, Pena C, Ravera F, Hall AR, Ristori L, Sexton-Kennedy E, Smith N, Soha A, Spiegel L, Strait J, Taylor L, Tkaczyk S, Tran NV, Uplegger L, Vaandering EW, Weber HA, Avery P, Bourilkov D, Cadamuro L, Cherepanov V, Field RD, Guerrero D, Joshi BM, Kim M, Koenig E, Konigsberg J, Korytov A, Lo KH, Matchev K, Menendez N, Mitselmakher G, Madhu AM, Rawal N, Rosenzweig D, Rosenzweig S, Shi K, Wang J, Wu Z, Yigitbasi E, Zuo X, Adams T, Askew A, Habibullah R, Hagopian V, Johnson KF, Khurana R, Kolberg T, Martinez G, Prosper H, Schiber C, Viazlo O, Yohay R, Zhang J, Baarmand MM, Butalla S, Elkafrawy T, Hohlmann M, Verma RK, Noonan D, Rahmani M, Yumiceva F, Adams MR, Gonzalez HB, Cavanaugh R, Dittmer S, Evdokimov O, Gerber CE, Hofman DJ, Merrit AH, Mills C, Oh G, Roy T, Rudrabhatla S, Tonjes MB, Varelas N, Viinikainen J, Wang X, Ye Z, Alhusseini M, Dilsiz K, Emediato L, Gandrajula RP, Köseyan OK, Merlo JP, Mestvirishvili A, Nachtman J, Ogul H, Onel Y, Penzo A, Snyder C, Tiras E, Amram O, Blumenfeld B, Corcodilos L, Davis J, Gritsan AV, Kyriacou S, Maksimovic P, Roskes J, Swartz M, Vámi T, Abreu A, Anguiano J, Barrera CB, Baringer P, Bean A, Flowers Z, Isidori T, Khalil S, King J, Krintiras G, Kropivnitskaya A, Lazarovits M, Mahieu CL, Lindsey C, Marquez J, Minafra N, Murray M, Nickel M, Rogan C, Royon C, Salvatico R, Sanders S, Schmitz E, Smith C, Wang Q, Warner Z, Williams J, Wilson G, Duric S, Ivanov A, Kaadze K, Kim D, Maravin Y, Mitchell T, Modak A, Nam K, Rebassoo F, Wright D, Adams E, Baden A, Baron O, Belloni A, Eno SC, Hadley NJ, Jabeen S, Kellogg RG, Koeth T, Lai Y, Lascio S, Mignerey AC, Nabili S, Palmer C, Seidel M, Skuja A, Wang L, Wong K, Abercrombie D, Andreassi G, Bi R, Busza W, Cali IA, Chen Y, D’Alfonso M, Eysermans J, Freer C, Gomez-Ceballos G, Goncharov M, Harris P, Hu M, Klute M, Kovalskyi D, Krupa J, Lee YJ, Mironov C, Paus C, Rankin D, Roland C, Roland G, Shi Z, Stephans GSF, Wang J, Wang Z, Wyslouch B, Chatterjee RM, Evans A, Hiltbrand J, Jain S, Krohn M, Kubota Y, Mans J, Revering M, Rusack R, Saradhy R, Schroeder N, Strobbe N, Wadud MA, Bloom K, Bryson M, Chauhan S, Claes DR, Fangmeier C, Finco L, Golf F, Joo C, Kravchenko I, Reed I, Siado JE, Snow GR, Tabb W, Wightman A, Yan F, Zecchinelli AG, Agarwal G, Bandyopadhyay H, Hay L, Iashvili I, Kharchilava A, McLean C, Nguyen D, Pekkanen J, Rappoccio S, Williams A, Alverson G, Barberis E, Haddad Y, Han Y, Hortiangtham A, Krishna A, Li J, Lidrych J, Madigan G, Marzocchi B, Morse DM, Nguyen V, Orimoto T, Parker A, Skinnari L, Tishelman-Charny A, Wamorkar T, Wang B, Wisecarver A, Wood D, Bhattacharya S, Bueghly J, Chen Z, Gilbert A, Gunter T, Hahn KA, Liu Y, Odell N, Schmitt MH, Velasco M, Band R, Bucci R, Cremonesi M, Das A, Dev N, Goldouzian R, Hildreth M, Anampa KH, Jessop C, Lannon K, Lawrence J, Loukas N, Lutton L, Mariano J, Marinelli N, Mcalister I, McCauley T, Mcgrady C, Mohrman K, Moore C, Musienko Y, Ruchti R, Townsend A, Wayne M, Zarucki M, Zygala L, Bylsma B, Durkin LS, Francis B, Hill C, Ornelas MN, Wei K, Winer BL, Yates BR, Addesa FM, Bonham B, Das P, Dezoort G, Elmer P, Frankenthal A, Greenberg B, Haubrich N, Higginbotham S, Kalogeropoulos A, Kopp G, Kwan S, Lange D, Marlow D, Mei K, Ojalvo I, Olsen J, Stickland D, Tully C, Malik S, Norberg S, Bakshi AS, Barnes VE, Chawla R, Das S, Gutay L, Jones M, Jung AW, Kondratyev D, Koshy AM, Liu M, Negro G, Neumeister N, Paspalaki G, Piperov S, Purohit A, Schulte JF, Stojanovic M, Thieman J, Wang F, Xiao R, Xie W, Dolen J, Parashar N, Acosta D, Baty A, Carnahan T, Decaro M, Dildick S, Ecklund KM, Freed S, Gardner P, Geurts FJM, Kumar A, Li W, Padley BP, Redjimi R, Rotter J, Shi W, Leiton AGS, Yang S, Zhang L, Zhang Y, Bodek A, de Barbaro P, Demina R, Dulemba JL, Fallon C, Ferbel T, Galanti M, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Ranken E, Taus R, Onsem GPV, Chiarito B, Chou JP, Gandrakota A, Gershtein Y, Halkiadakis E, Hart A, Heindl M, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Osherson M, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Wang H, Acharya H, Delannoy AG, Fiorendi S, Spanier S, Bouhali O, Dalchenko M, Delgado A, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo S, Malhotra S, Mueller R, Overton D, Rathjens D, Safonov A, Akchurin N, Damgov J, Hegde V, Kunori S, Lamichhane K, Lee SW, Mengke T, Muthumuni S, Peltola T, Volobouev I, Wang Z, Whitbeck A, Appelt E, Greene S, Gurrola A, Johns W, Melo A, Padeken K, Romeo F, Sheldon P, Tuo S, Velkovska J, Arenton MW, Cardwell B, Cox B, Cummings G, Hakala J, Hirosky R, Joyce M, Ledovskoy A, Li A, Neu C, Lara CEP, Tannenwald B, White S, Poudyal N, Banerjee S, Black K, Bose T, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Herve A, Hussain U, Lanaro A, Loeliger A, Loveless R, Sreekala JM, Mallampalli A, Mohammadi A, Pinna D, Savin A, Shang V, Sharma V, Smith WH, Teague D, Trembath-Reichert S, Vetens W, Afanasiev S, Andreev V, Andreev Y, Aushev T, Azarkin M, Babaev A, Belyaev A, Blinov V, Boos E, Borshch V, Budkouski D, Bunichev V, Bychkova O, Chekhovsky V, Chistov R, Danilov M, Dermenev A, Dimova T, Dremin I, Dubinin M, Dudko L, Epshteyn V, Gavrilov G, Gavrilov V, Gninenko S, Golovtcov V, Golubev N, Golutvin I, Gorbunov I, Gribushin A, Ivanchenko V, Ivanov Y, Kachanov V, Kardapoltsev L, Karjavine V, Karneyeu A, Kim V, Kirakosyan M, Kirpichnikov D, Kirsanov M, Klyukhin V, Kodolova O, Konstantinov D, Korenkov V, Kozyrev A, Krasnikov N, Kuznetsova E, Lanev A, Litomin A, Lychkovskaya N, Makarenko V, Malakhov A, Matveev V, Murzin V, Nikitenko A, Obraztsov S, Okhotnikov V, Oreshkin V, Oskin A, Ovtin I, Palichik V, Parygin P, Pashenkov A, Perelygin V, Perfilov M, Petrushanko S, Pivovarov G, Polikarpov S, Popov V, Radchenko O, Savina M, Savrin V, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Slabospitskii S, Smirnov I, Smirnov V, Sosnov D, Stepennov A, Sulimov V, Tcherniaev E, Terkulov A, Teryaev O, Toms M, Toropin A, Uvarov L, Uzunian A, Vlasov E, Volkov S, Vorobyev A, Voytishin N, Yuldashev BS, Zarubin A, Zhizhin I, Zhokin A. Search for light Higgs bosons from supersymmetric cascade decays in pp collisions at s=13TeV. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2023; 83:571. [PMID: 37432681 PMCID: PMC10326141 DOI: 10.1140/epjc/s10052-023-11581-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 07/01/2022] [Indexed: 07/12/2023]
Abstract
A search is reported for pairs of light Higgs bosons (H 1 ) produced in supersymmetric cascade decays in final states with small missing transverse momentum. A data set of LHC pp collisions collected with the CMS detector at s = 13 TeV and corresponding to an integrated luminosity of 138fb - 1 is used. The search targets events where both H 1 bosons decay into pairs that are reconstructed as large-radius jets using substructure techniques. No evidence is found for an excess of events beyond the background expectations of the standard model (SM). Results from the search are interpreted in the next-to-minimal supersymmetric extension of the SM, where a "singlino" of small mass leads to squark and gluino cascade decays that can predominantly end in a highly Lorentz-boosted singlet-like H 1 and a singlino-like neutralino of small transverse momentum. Upper limits are set on the product of the squark or gluino pair production cross section and the square of the branching fraction of the H 1 in a benchmark model containing almost mass-degenerate gluinos and light-flavour squarks. Under the assumption of an SM-like branching fraction, H 1 bosons with masses in the range 40-120GeV arising from the decays of squarks or gluinos with a mass of 1200-2500GeV are excluded at 95% confidence level.
Collapse
Grants
- Austrian Federal Ministry of Education, Science and Research
- Austrian Science Fund
- Belgian Fonds de la Recherche Scientifique
- Belgian Fonds voor Wetenschappelijk Onderzoek
- CNPq
- CAPES
- FAPERJ
- FAPERGS
- FAPESP
- Bulgarian Ministry of Education and Science
- Bulgarian National Science Fund
- CERN
- Chinese Academy of Sciences
- Ministry of Science and Technology
- Chinese National Natural Science Foundation of China
- Colombian Funding Agency (MINICIENCIAS)
- Croatian Ministry of Science, Education and Sport
- Croatian Science Foundation
- Research and Innovation Foundation
- SENESCYT
- Ministry of Education and Research
- Estonian Research Council via PRG780, PRG803, and PRG445
- European Regional Development Fund
- Academy of Finland
- Finnish Ministry of Education and Culture
- Helsinki Institute of Physics
- Institut National de Physique Nucléaire et de Physique des Particules
- Centre National de la Recherche Scientifique
- Commissariat à l’Énergie Atomique et aux Énergies Alternatives
- Bundesministerium für Bildung und Forschung
- Deutsche Forschungsgemeinschaft
- Helmholtz-Gemeinschaft Deutscher Forschungszentren
- General Secretariat for Research and Innovation
- National Research, Development and Innovation Office
- Department of Atomic Energy
- Department of Science and Technology
- Institute for Research in Fundamental Studies
- Science Foundation
- Istituto Nazionale di Fisica Nucleare
- Korean Ministry of Education, Science and Technology
- National Research Foundation of Korea (NRF)
- MES
- Lithuanian Academy of Sciences
- Ministry of Education
- University of Malaya
- BUAP
- CINVESTAV
- CONACYT
- LNS
- SEP
- UASLP
- MOS
- Ministry of Business, Innovation and Employment
- Pakistan Atomic Energy Commission
- Ministry of Educaton and Science
- National Science Centre
- Fundação para a Ciência e a Tecnologia, CERN/FIS-PAR/0025/2019 and CERN/FIS-INS/0032/2019
- JINR, Dubna
- Ministry of Education and Science of the Russian Federation
- Federal Agency of Atomic Energy of the Russian Federation
- Russian Academy of Sciences
- Russian Foundation for Basic Research
- National Research Center “Kurchatov Institute”
- Ministry of Education, Science and Technological Development of Serbia
- MCIN/AEI/10.13039/501100011033, ERDF “a way of making Europe”
- Fondo Europeo de Desarrollo Regional, Spain
- Plan de Ciencia, Tecnología e Innovación del Principado de Asturias
- MOSTR
- ETH Board
- ETH Zurich
- PSI
- SNF
- UniZH
- Canton Zurich
- SER
- Thailand Center of Excellence in Physics
- Institute for the Promotion of Teaching Science and Technology of Thailand
- Special Task Force for Activating Research
- National Science and Technology Development Agency of Thailand
- Scientific and Technical Research Council of Turkey
- Turkish Atomic Energy Authority
- National Academy of Sciences of Ukraine
- Science and Technology Facilities Council
- US Department of Energy
- US National Science Foundation
- Marie-Curie programme
- European Research Council and EPLANET (European Union)
- European Research Council/European Cooperation in Science and Technology), Action CA16108
- Individual
- Leventis Foundation
- Alfred P. Sloan Foundation
- Alexander von Humboldt Foundation
- Belgian Federal Science Policy Office
- Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium)
- Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium)
- Belgian Fonds de la Recherche Scientifique, “Excellence of Science - EOS” - be.h project n. 30820817
- Belgian Fonds voor Wetenschappelijk Onderzoek, “Excellence of Science - EOS” - be.h project n. 30820817
- Beijing Municipal Science & Technology Commission, No. Z191100007219010
- Ministry of Education, Youth and Sports (MEYS) of the Czech Republic
- Deutsche Forschungsgemeinschaft (DFG) under Germany’s Excellence Strategy – EXC 2121 “Quantum Universe” – 390833306
- Deutsche Forschungsgemeinschaft (DFG), project number 400140256 - GRK2497
- Hellenic Foundation for Research and Innovation, Project Number 2288
- Hungarian Academy of Sciences
- New National Excellence Program - ÚNKP, the NKFIH research grants K 124845, K 124850, K 128713, K 128786, K 129058, K 131991, K 133046, K 138136, K 143460, K 143477, 2020-2.2.1-ED-2021-00181, and TKP2021-NKTA-64
- Council of Scientific and Industrial Research, India
- Latvian Council of Science
- Ministry of Education and Science, project no. 2022/WK/14
- National Science Center, Opus 2021/41/B/ST2/01369 and 2021/43/B/ST2/01552
- Fundação para a Ciência e a Tecnologia, CEECIND/01334/2018
- National Priorities Research Program by Qatar National Research Fund
- Ministry of Science and Higher Education, project no. 0723-2020-0041 and FSWW-2020-0008
- Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2017-0765 and projects PID2020-113705RB, PID2020-113304RB, PID2020-116262RB and PID2020-113341RB-I00
- Programa Severo Ochoa del Principado de Asturias
- Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University (Thailand)
- CUAASC
- Kavli Foundation
- Nvidia Corporation
- Welch Foundation, contract C-1845
- Weston Havens Foundation
- Institut für Hochenergiephysik (HEPHY) using the Cloud Infrastructure Platform (CLIP), Vienna
- Inter-University Institute for High Energies, Brussels
- Université Catholique de Louvain, Louvain-la-Neuve
- São Paulo Research and Analysis Center, São Paulo
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro
- University of Sofia, Sofia
- Institute of High Energy Physics of the Chinese Academy of Sciences, Beijing
- National Institute of Chemical Physics and Biophysics, Tallinn
- Helsinki Institute of Physics, Helsinki
- Grille de Recherche d’Ile de France (GRIF), Institut de recherche sur les lois fondamentales de l’Univers, CEA, Université Paris-Saclay, Gif-sur-Yvette, France and Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris
- Institut de recherche sur les lois fondamentales de l’Univers, CEA, Université Paris-Saclay, Gif-sur-Yvette
- Institut national de physique nucléaire et de physique des particules, IN2P3, Villeurbanne
- Institut Pluridisciplinaire Hubert Curien (IPHC), Strasbourg
- Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau
- Deutsches Elektronen-Synchrotron, Hamburg
- Karlsruher Institut für Technologie, Karlsruhe
- RWTH Aachen University, Aachen
- University of Ioánnina, Ioánnina
- Wigner Research Centre for Physics, Budapest
- Tata Institute of Fundamental Research, Mumbai
- INFN CNAF, Bologna
- INFN Sezione di Bari, Università di Bari, Politecnico di Bari, Bari
- INFN Sezione di Pisa, Università di Pisa, Scuola Normale Superiore di Pisa, Pisa
- INFN Sezione di Roma, Sapienza Università di Roma, Rome
- INFN Sezione di Trieste, Università di Trieste, Trieste
- Laboratori Nazionali di Legnaro, Legnaro
- Kyungpook National University, Daegu
- National Centre for Physics, Quaid-I-Azam University, Islamabad
- Akademickie Centrum Komputerowe Cyfronet AGH, Krakow
- National Centre for Nuclear Research, Swierk
- Laboratório de Instrumentação e Física Experimental de Partículas, Lisboa
- Institute for High Energy Physics of National Research Centre ‘Kurchatov Institute’, Protvino
- Institute for Nuclear Research (INR) of the Russian Academy of Sciences, Troitsk
- Institute for Theoretical and Experimental Physics named by A.I. Alikhanov of NRC ’Kurchatov Institute’, Moscow
- Joint Institute for Nuclear Research, Dubna
- Korea Institute of Science and Technology Information (KISTI), Daejeon
- Centro de Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT), Madrid
- Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander
- Port d’Informació Científica, Bellaterra
- CERN, European Organization for Nuclear Research, Geneva
- CSCS - Swiss National Supercomputing Centre, Lugano
- National Center for High-performance Computing (NCHC), Hsinchu City
- Middle East Technical University, Physics Department, Ankara
- National Scientific Center, Kharkov Institute of Physics and Technology, Kharkov
- GridPP, Brunel University, Uxbridge
- GridPP, Imperial College, London
- GridPP, Queen Mary University of London, London
- GridPP, Royal Holloway, University of London, London
- GridPP, Rutherford Appleton Laboratory, Didcot
- GridPP, University of Bristol, Bristol
- GridPP, University of Glasgow, Glasgow
- Baylor University, Waco
- California Institute of Technology, Pasadena
- Fermi National Accelerator Laboratory, Batavia
- Massachusetts Institute of Technology, Cambridge
- National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility, Berkeley
- Open Science Grid (OSG) Consortium
- Pittsburgh Supercomputing Center (PSC), Pittsburgh
- Purdue University, West Lafayette
- Texas Advanced Computing Center (TACC), Austin
- University of California, San Diego, La Jolla
- University of Colorado Boulder, Boulder
- University of Florida, Gainesville
- University of Nebraska-Lincoln, Lincoln
- University of Wisconsin - Madison, Madison
- Vanderbilt University, Nashville
Collapse
|
165
|
Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, Damanakis K, Dragicevic M, Valle AED, Hussain PS, Jeitler M, Krammer N, Lechner L, Liko D, Mikulec I, Paulitsch P, Pitters FM, Schieck J, Schöfbeck R, Schwarz D, Templ S, Waltenberger W, Wulz CE, Darwish MR, Janssen T, Kello T, Sfar HR, Mechelen PV, Bols ES, D’Hondt J, De Moor A, Delcourt M, Faham HE, Lowette S, Moortgat S, Morton A, Müller D, Sahasransu AR, Tavernier S, Doninck WV, Vannerom D, Clerbaux B, De Lentdecker G, Favart L, Hohov D, Jaramillo J, Lee K, Mahdavikhorrami M, Makarenko I, Malara A, Paredes S, Pétré L, Postiau N, Thomas L, Bemden MV, Velde CV, Vanlaer P, Dobur D, Knolle J, Lambrecht L, Mestdach G, Niedziela M, Rendón C, Roskas C, Samalan A, Skovpen K, Tytgat M, Bossche NVD, Vermassen B, Wezenbeek L, Benecke A, Bruno G, Bury F, Caputo C, David P, Delaere C, Donertas IS, Giammanco A, Jaffel K, Jain S, Lemaitre V, Mondal K, Taliercio A, Tran TT, Vischia P, Wertz S, Alves GA, Coelho E, Hensel C, Moraes A, Teles PR, Júnior WLA, Pereira MAG, Filho MBF, Malbouisson HB, Carvalho W, Chinellato J, Da Costa EM, Da Silveira GG, De Jesus Damiao D, Sousa VDS, De Souza SF, Martins J, Herrera CM, Amarilo KM, Mundim L, Nogima H, Santoro A, Amaral SMSD, Sznajder A, Thiel M, Da Silva De Araujo FT, Pereira AV, Bernardes CA, Calligaris L, Tomei TRFP, Gregores EM, Mercadante PG, Novaes SF, Padula SS, Aleksandrov A, Antchev G, Hadjiiska R, Iaydjiev P, Misheva M, Rodozov M, Shopova M, Sultanov G, Dimitrov A, Ivanov T, Litov L, Pavlov B, Petkov P, Petrov A, Shumka E, Thakur S, Cheng T, Javaid T, Mittal M, Yuan L, Ahmad M, Bauer G, Hu Z, Lezki S, Yi K, Chen GM, Chen HS, Chen M, Iemmi F, Jiang CH, Kapoor A, Kou H, Liao H, Liu ZA, Milosevic V, Monti F, Sharma R, Tao J, Thomas-Wilsker J, Wang J, Zhang H, Zhao J, Agapitos A, An Y, Ban Y, Chen C, Levin A, Li C, Li Q, Lyu X, Mao Y, Qian SJ, Sun X, Wang D, Xiao J, Yang H, Lu M, You Z, Gao X, Leggat D, Okawa H, Zhang Y, Lin Z, Lu C, Xiao M, Avila C, Trujillo DAB, Cabrera A, Florez C, Fraga J, Guisao JM, Ramirez F, Rodriguez M, Alvarez JDR, Giljanovic D, Godinovic N, Lelas D, Puljak I, Antunovic Z, Kovac M, Sculac T, Brigljevic V, Chitroda BK, Ferencek D, Majumder D, Mishra S, Roguljic M, Starodumov A, Susa T, Attikis A, Christoforou K, Kolosova M, Konstantinou S, Mousa J, Nicolaou C, Ptochos F, Razis PA, Rykaczewski H, Saka H, Stepennov A, Finger M, Finger M, Kveton A, Ayala E, Jarrin EC, Abdalla H, Assran Y, Mahmoud MA, Mohammed Y, Bhowmik S, Dewanjee RK, Ehataht K, Kadastik M, Lange T, Nandan S, Nielsen C, Pata J, Raidal M, Tani L, Veelken C, Eerola P, Kirschenmann H, Osterberg K, Voutilainen M, Bharthuar S, Brücken E, Garcia F, Havukainen J, Kim MS, Kinnunen R, Lampén T, Lassila-Perini K, Lehti S, Lindén T, Lotti M, Martikainen L, Myllymäki M, Ott J, Rantanen MM, Siikonen H, Tuominen E, Tuominiemi J, Luukka P, Petrow H, Tuuva T, Amendola C, Besancon M, Couderc F, Dejardin M, Denegri D, Faure JL, Ferri F, Ganjour S, Gras P, de Monchenault GH, Jarry P, Lohezic V, Malcles J, Rander J, Rosowsky A, Sahin MÖ, Savoy-Navarro A, Simkina P, Titov M, Barrera CB, Beaudette F, Perraguin AB, Busson P, Cappati A, Charlot C, Damas F, Davignon O, Diab B, Falmagne G, Alves BAFS, Ghosh S, de Cassagnac RG, Hakimi A, Harikrishnan B, Liu G, Motta J, Nguyen M, Ochando C, Portales L, Salerno R, Sarkar U, Sauvan JB, Sirois Y, Tarabini A, Vernazza E, Zabi A, Zghiche A, Agram JL, Andrea J, Apparu D, Bloch D, Bourgatte G, Brom JM, Chabert EC, Collard C, Darej D, Goerlach U, Grimault C, Bihan ACL, Hove PV, Beauceron S, Blancon B, Boudoul G, Carle A, Chanon N, Choi J, Contardo D, Depasse P, Dozen C, Mamouni HE, Fay J, Gascon S, Gouzevitch M, Grenier G, Ille B, Laktineh IB, Lethuillier M, Mirabito L, Perries S, Torterotot L, Donckt MV, Verdier P, Viret S, Lomidze I, Toriashvili T, Tsamalaidze Z, Botta V, Feld L, Klein K, Lipinski M, Meuser D, Pauls A, Röwert N, Teroerde M, Diekmann S, Dodonova A, Eich N, Eliseev D, Erdmann M, Fackeldey P, Fasanella D, Fischer B, Hebbeker T, Hoepfner K, Ivone F, Lee MY, Mastrolorenzo L, Merschmeyer M, Meyer A, Mondal S, Mukherjee S, Noll D, Novak A, Nowotny F, Pozdnyakov A, Rath Y, Redjeb W, Reithler H, Schmidt A, Schuler SC, Sharma A, Vigilante L, Wiedenbeck S, Zaleski S, Dziwok C, Flügge G, Ahmad WH, Hlushchenko O, Kress T, Nowack A, Pooth O, Stahl A, Ziemons T, Zotz A, Petersen HA, Martin MA, Asmuss P, Baxter S, Bayatmakou M, Behnke O, Martínez AB, Bhattacharya S, Anuar AAB, Blekman F, Borras K, Brunner D, Campbell A, Cardini A, Cheng C, Colombina F, Rodríguez SC, Silva GC, De Silva M, Didukh L, Eckerlin G, Eckstein D, Banos LIE, Filatov O, Gallo E, Geiser A, Giraldi A, Greau G, Grohsjean A, Guglielmi V, Guthoff M, Jafari A, Jomhari NZ, Kaech B, Kasem A, Kasemann M, Kaveh H, Kleinwort C, Kogler R, Komm M, Krücker D, Lange W, Pernia DL, Lipka K, Lohmann W, Mankel R, Melzer-Pellmann IA, Morentin MM, Metwally J, Meyer AB, Milella G, Mormile M, Mussgiller A, Nürnberg A, Otarid Y, Adán DP, Raspereza A, Lopes BR, Rübenach J, Saggio A, Saibel A, Savitskyi M, Scham M, Scheurer V, Schnake S, Schütze P, Schwanenberger C, Shchedrolosiev M, Ricardo RES, Stafford D, Tonon N, De Klundert MV, Vazzoler F, Barroso AV, Walsh R, Walter D, Wang Q, Wen Y, Wichmann K, Wiens L, Wissing C, Wuchterl S, Yang Y, Santos AZC, Albrecht A, Albrecht S, Antonello M, Bein S, Benato L, Bonanomi M, Connor P, De Leo K, Eich M, Morabit KE, Feindt F, Fröhlich A, Garbers C, Garutti E, Hajheidari M, Haller J, Hinzmann A, Jabusch HR, Kasieczka G, Keicher P, Klanner R, Korcari W, Kramer T, Kutzner V, Labe F, Lange J, Lobanov A, Matthies C, Mehta A, Moureaux L, Mrowietz M, Nigamova A, Nissan Y, Paasch A, Rodriguez KJP, Quadfasel T, Rieger M, Rieger O, Savoiu D, Schleper P, Schröder M, Schwandt J, Sommerhalder M, Stadie H, Steinbrück G, Tews A, Wolf M, Brommer S, Burkart M, Butz E, Caspart R, Chwalek T, Dierlamm A, Droll A, Faltermann N, Giffels M, Gosewisch JO, Gottmann A, Hartmann F, Horzela M, Husemann U, Klute M, Koppenhöfer R, Maier S, Mitra S, Müller T, Neukum M, Oh M, Quast G, Rabbertz K, Rauser J, Schnepf M, Seith D, Shvetsov I, Simonis HJ, Trevisani N, Ulrich R, Linden JVD, Cube RFV, Wassmer M, Wieland S, Wolf R, Wozniewski S, Wunsch S, Zuo X, Anagnostou G, Assiouras P, Daskalakis G, Kyriakis A, Stakia A, Diamantopoulou M, Karasavvas D, Kontaxakis P, Manousakis-Katsikakis A, Panagiotou A, Papavergou I, Saoulidou N, Theofilatos K, Tziaferi E, Vellidis K, Zisopoulos I, Bakas G, Chatzistavrou T, Kousouris K, Papakrivopoulos I, Tsipolitis G, Zacharopoulou A, Adamidis K, Bestintzanos I, Evangelou I, Foudas C, Gianneios P, Kamtsikis C, Katsoulis P, Kokkas P, Kioseoglou PGK, Manthos N, Papadopoulos I, Strologas J, Csanád M, Farkas K, Gadallah MMA, Lökös S, Major P, Mandal K, Pásztor G, Rádl AJ, Surányi O, Veres GI, Bartók M, Bencze G, Hajdu C, Horvath D, Sikler F, Veszpremi V, Beni N, Czellar S, Karancsi J, Molnar J, Szillasi Z, Teyssier D, Raics P, Ujvari B, Csorgo T, Nemes F, Novak T, Babbar J, Bansal S, Beri SB, Bhatnagar V, Chaudhary G, Chauhan S, Dhingra N, Gupta R, Kaur A, Kaur A, Kaur H, Kaur M, Kumar S, Kumari P, Meena M, Sandeep K, Sheokand T, Singh JB, Singla A, Virdi AK, Ahmed A, Bhardwaj A, Choudhary BC, Kumar A, Naimuddin M, Ranjan K, Saumya S, Baradia S, Barman S, Bhattacharya S, Bhowmik D, Dutta S, Dutta S, Gomber B, Maity M, Palit P, Saha G, Sahu B, Sarkar S, Behera PK, Behera SC, Kalbhor P, Komaragiri JR, Kumar D, Muhammad A, Panwar L, Pradhan R, Pujahari PR, Sharma A, Sikdar AK, Tiwari PC, Verma S, Naskar K, Aziz T, Das I, Dugad S, Kumar M, Mohanty GB, Suryadevara P, Banerjee S, Chudasama R, Guchait M, Karmakar S, Kumar S, Majumder G, Mazumdar K, Mukherjee S, Thachayath A, Bahinipati S, Kar C, Mal P, Mishra T, Bindhu VKMN, Nayak A, Saha P, Swain SK, Vats D, Alpana A, Dube S, Kansal B, Laha A, Pandey S, Rastogi A, Sharma S, Bakhshiansohi H, Khazaie E, Zeinali M, Chenarani S, Etesami SM, Khakzad M, Najafabadi MM, Grunewald M, Abbrescia M, Aly R, Aruta C, Colaleo A, Creanza D, De Filippis N, De Palma M, Florio AD, Elmetenawee W, Errico F, Fiore L, Iaselli G, Ince M, Maggi G, Maggi M, Margjeka I, Mastrapasqua V, My S, Nuzzo S, Pellecchia A, Pompili A, Pugliese G, Radogna R, Ramos D, Ranieri A, Selvaggi G, Silvestris L, Simone FM, Sözbilir Ü, Stamerra A, Venditti R, Verwilligen P, Abbiendi G, Battilana C, Bonacorsi D, Borgonovi L, Brigliadori L, Campanini R, Capiluppi P, Castro A, Cavallo FR, Cuffiani M, Dallavalle GM, Diotalevi T, Fabbri F, Fanfani A, Giacomelli P, Giommi L, Grandi C, Guiducci L, Meo SL, Lunerti L, Marcellini S, Masetti G, Navarria FL, Perrotta A, Primavera F, Rossi AM, Rovelli T, Siroli GP, Costa S, Mattia AD, Potenza R, Tricomi A, Tuve C, Barbagli G, Bardelli G, Camaiani B, Cassese A, Ceccarelli R, Ciulli V, Civinini C, D’Alessandro R, Focardi E, Latino G, Lenzi P, Lizzo M, Meschini M, Paoletti S, Seidita R, Sguazzoni G, Viliani L, Benussi L, Bianco S, Meola S, Piccolo D, Bozzo M, Chatagnon P, Ferro F, Mulargia R, Robutti E, Tosi S, Benaglia A, Boldrini G, Brivio F, Cetorelli F, De Guio F, Dinardo ME, Dini P, Gennai S, Ghezzi A, Govoni P, Guzzi L, Lucchini MT, Malberti M, Malvezzi S, Massironi A, Menasce D, Moroni L, Paganoni M, Pedrini D, Pinolini BS, Ragazzi S, Redaelli N, de Fatis TT, Zuolo D, Buontempo S, Carnevali F, Cavallo N, De Iorio A, Fabozzi F, Iorio AOM, Lista L, Paolucci P, Rossi B, Sciacca C, Azzi P, Bacchetta N, Bellato M, Bisello D, Bortignon P, Bragagnolo A, Carlin R, Checchia P, Dorigo T, Grosso G, Layer L, Lusiani E, Margoni M, Meneguzzo AT, Pazzini J, Ronchese P, Rossin R, Simonetto F, Strong G, Tosi M, Ventura S, Yarar H, Zanetti M, Zotto P, Zucchetta A, Zumerle G, Zeid SA, Aimè C, Braghieri A, Calzaferri S, Fiorina D, Montagna P, Re V, Riccardi C, Salvini P, Vai I, Vitulo P, Asenov P, Bilei GM, Ciangottini D, Fanò L, Magherini M, Mantovani G, Mariani V, Menichelli M, Moscatelli F, Piccinelli A, Presilla M, Rossi A, Santocchia A, Spiga D, Tedeschi T, Azzurri P, Bagliesi G, Bertacchi V, Bhattacharya R, Bianchini L, Boccali T, Bossini E, Bruschini D, Castaldi R, Ciocci MA, D’Amante V, Dell’Orso R, Domenico MRD, Donato S, Giassi A, Ligabue F, Mandorli G, Figueiredo DM, Messineo A, Musich M, Palla F, Parolia S, Ramirez-Sanchez G, Rizzi A, Rolandi G, Chowdhury SR, Sarkar T, Scribano A, Shafiei N, Spagnolo P, Tenchini R, Tonelli G, Turini N, Venturi A, Verdini PG, Barria P, Campana M, Cavallari F, Re DD, Marco ED, Diemoz M, Longo E, Meridiani P, Organtini G, Pandolfi F, Paramatti R, Quaranta C, Rahatlou S, Rovelli C, Santanastasio F, Soffi L, Tramontano R, Amapane N, Arcidiacono R, Argiro S, Arneodo M, Bartosik N, Bellan R, Bellora A, Biino C, Cartiglia N, Costa M, Covarelli R, Demaria N, Grippo M, Kiani B, Legger F, Mariotti C, Maselli S, Mecca A, Migliore E, Monteil E, Monteno M, Obertino MM, Ortona G, Pacher L, Pastrone N, Pelliccioni M, Ruspa M, Shchelina K, Siviero F, Sola V, Solano A, Soldi D, Staiano A, Tornago M, Trocino D, Umoret G, Vagnerini A, Belforte S, Candelise V, Casarsa M, Cossutti F, Da Rold A, Ricca GD, Sorrentino G, Dogra S, Huh C, Kim B, Kim DH, Kim GN, Kim J, Lee J, Lee SW, Moon CS, Oh YD, Pak SI, Ryu MS, Sekmen S, Yang YC, Kim H, Moon DH, Asilar E, Kim TJ, Park J, Choi S, Han S, Hong B, Lee K, Lee KS, Lim J, Park J, Park SK, Yoo J, Goh J, Kim HS, Kim Y, Lee S, Almond J, Bhyun JH, Choi J, Jeon S, Kim J, Kim JS, Ko S, Kwon H, Lee H, Lee S, Oh BH, Oh SB, Seo H, Yang UK, Yoon I, Jang W, Kang DY, Kang Y, Kim D, Kim S, Ko B, Lee JSH, Lee Y, Merlin JA, Park IC, Roh Y, Song D, J. WI, Yang S, Ha S, Yoo HD, Choi M, Kim MR, Lee H, Lee Y, Lee Y, Yu I, Beyrouthy T, Maghrbi Y, Dreimanis K, Pikurs G, Seidel M, Veckalns V, Ambrozas M, De Oliveira ACA, Juodagalvis A, Rinkevicius A, Tamulaitis G, Norjoharuddeen NB, Hoh SY, Yusuff I, Zolkapli Z, Benitez JF, Hernandez AC, Acosta HAE, Maríñez LGG, Coello ML, Quijada JAM, Sehrawat A, Palomo LV, Ayala G, Castilla-Valdez H, La Cruz IHD, Lopez-Fernandez R, Herrera CAM, Navarro DAP, Hernández AS, Barrera CO, Valencia FV, Pedraza I, Ibarguen HAS, Estrada CU, Bubanja I, Mijuskovic J, Raicevic N, Ahmad A, Asghar MI, Awais A, Awan MIM, Gul M, Hoorani HR, Khan WA, Shoaib M, Waqas M, Avati V, Grzanka L, Malawski M, Bialkowska H, Bluj M, Boimska B, Górski M, Kazana M, Szleper M, Zalewski P, Bunkowski K, Doroba K, Kalinowski A, Konecki M, Krolikowski J, Araujo M, Bargassa P, Bastos D, Boletti A, Faccioli P, Gallinaro M, Hollar J, Leonardo N, Niknejad T, Pisano M, Seixas J, Varela J, Adzic P, Dordevic M, Milenovic P, Milosevic J, Aguilar-Benitez M, Maestre JA, Fernández AÁ, Luna MB, Bedoya CF, Montoya CAC, Cepeda M, Cerrada M, Colino N, De La Cruz B, Peris AD, Val DFD, Ramos JPF, Flix J, Fouz MC, Lopez OG, Lopez SG, Hernandez JM, Josa MI, Holgado JL, Moran D, Dengra CP, Yzquierdo APC, Pelayo JP, Redondo I, Ferrero DDR, Romero L, Navas SS, Sastre J, Gómez LU, Escobar JV, Willmott C, de Trocóniz JF, Gonzalez BA, Cuevas J, Menendez JF, Folgueras S, Caballero IG, Fernández JRG, Cortezon EP, Álvarez CR, Bouza VR, Rodríguez AS, Trapote A, Villalba CV, Cifuentes JAB, Cabrillo IJ, Calderon A, Campderros JD, Fernandez M, Madrazo CF, Alonso AG, Gomez G, García CL, Rivero CM, Arbol PMRD, Matorras F, Cuevas PM, Gomez JP, Prieels C, Ruiz-Jimeno A, Scodellaro L, Vila I, Garcia JMV, Jayananda MK, Kailasapathy B, Sonnadara DUJ, Wickramarathna DDC, Dharmaratna WGD, Liyanage K, Perera N, Wickramage N, Abbaneo D, Alimena J, Auffray E, Auzinger G, Baechler J, Baillon P, Barney D, Bendavid J, Bianco M, Bilin B, Bocci A, Brondolin E, Caillol C, Camporesi T, Cerminara G, Chernyavskaya N, Chhibra SS, Choudhury S, Cipriani M, Cristella L, d’Enterria D, Dabrowski A, David A, De Roeck A, Defranchis MM, Deile M, Dobson M, Dünser M, Dupont N, Fallavollita F, Florent A, Forthomme L, Franzoni G, Funk W, Ghosh S, Giani S, Gigi D, Gill K, Glege F, Gouskos L, Govorkova E, Haranko M, Hegeman J, Innocente V, James T, Janot P, Kaspar J, Kieseler J, Kratochwil N, Laurila S, Lecoq P, Leutgeb E, Lintuluoto A, Lourenço C, Maier B, Malgeri L, Mannelli M, Marini AC, Meijers F, Mersi S, Meschi E, Moortgat F, Mulders M, Orfanelli S, Orsini L, Pantaleo F, Perez E, Peruzzi M, Petrilli A, Petrucciani G, Pfeiffer A, Pierini M, Piparo D, Pitt M, Qu H, Quast T, Rabady D, Racz A, Gutiérrez GR, Rovere M, Sakulin H, Salfeld-Nebgen J, Scarfi S, Selvaggi M, Sharma A, Silva P, Sphicas P, Leiton AGS, Summers S, Tatar K, Tavolaro VR, Treille D, Tropea P, Tsirou A, Wanczyk J, Wozniak KA, Zeuner WD, Caminada L, Ebrahimi A, Erdmann W, Horisberger R, Ingram Q, Kaestli HC, Kotlinski D, Lange C, Missiroli M, Noehte L, Rohe T, Aarrestad TK, Androsov K, Backhaus M, Berger P, Calandri A, Datta K, De Cosa A, Dissertori G, Dittmar M, Donegà M, Eble F, Galli M, Gedia K, Glessgen F, Espinosa TAG, Grab C, Hits D, Lustermann W, Lyon AM, Manzoni RA, Marchese L, Perez CM, Mascellani A, Nessi-Tedaldi F, Niedziela J, Pauss F, Perovic V, Pigazzini S, Ratti MG, Reichmann M, Reissel C, Reitenspiess T, Ristic B, Riti F, Ruini D, Becerra DAS, Steggemann J, Valsecchi D, Wallny R, Amsler C, Bärtschi P, Botta C, Brzhechko D, Canelli MF, Cormier K, De Wit A, Burgo RD, Heikkilä JK, Huwiler M, Jin W, Jofrehei A, Kilminster B, Leontsinis S, Liechti SP, Macchiolo A, Meiring P, Mikuni VM, Molinatti U, Neutelings I, Reimers A, Robmann P, Cruz SS, Schweiger K, Senger M, Takahashi Y, Adloff C, Kuo CM, Lin W, Rout PK, Yu SS, Ceard L, Chao Y, Chen KF, Chen PS, Cheng H, Hou WS, Khurana R, Kole G, Li YY, Lu RS, Paganis E, Psallidas A, Steen A, Wu HY, Yazgan E, Yu PR, Asawatangtrakuldee C, Srimanobhas N, Agyel D, Boran F, Demiroglu ZS, Dolek F, Dumanoglu I, Eskut E, Guler Y, Guler EG, Isik C, Kara O, Topaksu AK, Kiminsu U, Onengut G, Ozdemir K, Polatoz A, Simsek AE, Tali B, Tok UG, Turkcapar S, Uslan E, Zorbakir IS, Karapinar G, Ocalan K, Yalvac M, Akgun B, Atakisi IO, Gülmez E, Kaya M, Kaya O, Tekten S, Cakir A, Cankocak K, Komurcu Y, Sen S, Aydilek O, Cerci S, Hacisahinoglu B, Hos I, Isildak B, Kaynak B, Ozkorucuklu S, Simsek C, Cerci DS, Grynyov B, Levchuk L, Anthony D, Bhal E, Brooke JJ, Bundock A, Clement E, Cussans D, Flacher H, Glowacki M, Goldstein J, Heath GP, Heath HF, Kreczko L, Krikler B, Paramesvaran S, Nasr-Storey SSE, Smith VJ, Stylianou N, Pass KW, White R, Ball AH, Bell KW, Belyaev A, Brew C, Brown RM, Cockerill DJA, Cooke C, Ellis KV, Harder K, Harper S, Holmberg ML, Linacre J, Manolopoulos K, Newbold DM, Olaiya E, Petyt D, Reis T, Salvi G, Schuh T, Shepherd-Themistocleous CH, Tomalin IR, Williams T, Bainbridge R, Bloch P, Bonomally S, Borg J, Breeze S, Brown CE, Buchmuller O, Cacchio V, Cepaitis V, Chahal GS, Colling D, Dancu JS, Dauncey P, Davies G, Davies J, Negra MD, Fayer S, Fedi G, Hall G, Hassanshahi MH, Howard A, Iles G, Langford J, Lyons L, Magnan AM, Malik S, Martelli A, Mieskolainen M, Monk DG, Nash J, Pesaresi M, Radburn-Smith BC, Raymond DM, Richards A, Rose A, Scott E, Seez CM, Shtipliyski A, Shukla R, Tapper A, Uchida K, Uttley GP, Vage LH, Virdee T, Vojinovic M, Wardle N, Webb SN, Winterbottom D, Coldham K, Cole JE, Khan A, Kyberd P, Reid ID, Abdullin S, Brinkerhoff A, Caraway B, Dittmann J, Hatakeyama K, Kanuganti AR, McMaster B, Saunders M, Sawant S, Sutantawibul C, Wilson J, Bartek R, Dominguez A, Uniyal R, Hernandez AMV, Cooper SI, Croce DD, Gleyzer SV, Henderson C, Perez CU, Rumerio P, West C, Akpinar A, Albert A, Arcaro D, Cosby C, Demiragli Z, Erice C, Fontanesi E, Gastler D, May S, Rohlf J, Salyer K, Sperka D, Spitzbart D, Suarez I, Tsatsos A, Yuan S, Benelli G, Burkle B, Coubez X, Cutts D, Hadley M, Heintz U, Hogan JM, Kwon T, Landsberg G, Lau KT, Li D, Luo J, Narain M, Pervan N, Sagir S, Simpson F, Usai E, Wong WY, Yan X, Yu D, Zhang W, Bonilla J, Brainerd C, Breedon R, De La Barca Sanchez MC, Chertok M, Conway J, Cox PT, Erbacher R, Haza G, Jensen F, Kukral O, Mocellin G, Mulhearn M, Pellett D, Regnery B, Yao Y, Zhang F, Bachtis M, Cousins R, Datta A, Hamilton D, Hauser J, Ignatenko M, Iqbal MA, Lam T, Manca E, Nash WA, Regnard S, Saltzberg D, Stone B, Valuev V, Clare R, Gary JW, Gordon M, Hanson G, Karapostoli G, Long OR, Manganelli N, Si W, Wimpenny S, Branson JG, Chang P, Cittolin S, Cooperstein S, Diaz D, Duarte J, Gerosa R, Giannini L, Guiang J, Kansal R, Krutelyov V, Lee R, Letts J, Masciovecchio M, Mokhtar F, Pieri M, Narayanan BVS, Sharma V, Tadel M, Vourliotis E, Würthwein F, Xiang Y, Yagil A, Amin N, Campagnari C, Citron M, Collura G, Dorsett A, Dutta V, Incandela J, Kilpatrick M, Kim J, Li AJ, Masterson P, Mei H, Oshiro M, Quinnan M, Richman J, Sarica U, Schmitz R, Setti F, Sheplock J, Siddireddy P, Stuart D, Wang S, Bornheim A, Cerri O, Dutta I, Latorre A, Lawhorn JM, Lu N, Mao J, Newman HB, Nguyen TQ, Spiropulu M, Vlimant JR, Wang C, Xie S, Zhu RY, Alison J, An S, Andrews MB, Bryant P, Ferguson T, Harilal A, Liu C, Mudholkar T, Murthy S, Paulini M, Roberts A, Sanchez A, Terrill W, Cumalat JP, Ford WT, Hassani A, Karathanasis G, MacDonald E, Marini F, Patel R, Perloff A, Savard C, Schonbeck N, Stenson K, Ulmer KA, Wagner SR, Zipper N, Alexander J, Bright-Thonney S, Chen X, Cranshaw DJ, Fan J, Fan X, Gadkari D, Hogan S, Monroy J, Patterson JR, Quach D, Reichert J, Reid M, Ryd A, Thom J, Wittich P, Zou R, Albrow M, Alyari M, Apollinari G, Apresyan A, Bauerdick LAT, Berry D, Berryhill J, Bhat PC, Burkett K, Butler JN, Canepa A, Cerati GB, Cheung HWK, Chlebana F, Petrillo KFD, Dickinson J, Elvira VD, Feng Y, Freeman J, Gandrakota A, Gecse Z, Gray L, Green D, Grünendahl S, Gutsche O, Harris RM, Heller R, Herwig TC, Hirschauer J, Horyn L, Jayatilaka B, Jindariani S, Johnson M, Joshi U, Klijnsma T, Klima B, Kwok KHM, Lammel S, Lincoln D, Lipton R, Liu T, Madrid C, Maeshima K, Mantilla C, Mason D, McBride P, Merkel P, Mrenna S, Nahn S, Ngadiuba J, Noonan D, Papadimitriou V, Pastika N, Pedro K, Pena C, Ravera F, Hall AR, Ristori L, Sexton-Kennedy E, Smith N, Soha A, Spiegel L, Strait J, Taylor L, Tkaczyk S, Tran NV, Uplegger L, Vaandering EW, Weber HA, Zoi I, Avery P, Bourilkov D, Cadamuro L, Cherepanov V, Field RD, Guerrero D, Kim M, Koenig E, Konigsberg J, Korytov A, Lo KH, Matchev K, Menendez N, Mitselmakher G, Madhu AM, Rawal N, Rosenzweig D, Rosenzweig S, Shi K, Wang J, Wu Z, Adams T, Askew A, Habibullah R, Hagopian V, Kolberg T, Martinez G, Prosper H, Schiber C, Viazlo O, Yohay R, Zhang J, Baarmand MM, Butalla S, Elkafrawy T, Hohlmann M, Verma RK, Rahmani M, Yumiceva F, Adams MR, Gonzalez HB, Cavanaugh R, Dittmer S, Evdokimov O, Gerber CE, Hofman DJ, Lemos DS, Merrit AH, Mills C, Oh G, Roy T, Rudrabhatla S, Tonjes MB, Varelas N, Wang X, Ye Z, Yoo J, Alhusseini M, Dilsiz K, Emediato L, Gandrajula RP, Karaman G, Köseyan OK, Merlo JP, Mestvirishvili A, Nachtman J, Neogi O, Ogul H, Onel Y, Penzo A, Snyder C, Tiras E, Amram O, Blumenfeld B, Corcodilos L, Davis J, Gritsan AV, Kyriacou S, Maksimovic P, Roskes J, Sekhar S, Swartz M, Vámi TÁ, Abreu A, Alcerro LFA, Anguiano J, Baringer P, Bean A, Flowers Z, Isidori T, King J, Krintiras G, Lazarovits M, Mahieu CL, Lindsey C, Marquez J, Minafra N, Murray M, Nickel M, Rogan C, Royon C, Salvatico R, Sanders S, Smith C, Wang Q, Williams J, Wilson G, Allmond B, Duric S, Ivanov A, Kaadze K, Kim D, Maravin Y, Mitchell T, Modak A, Nam K, Roy D, Rebassoo F, Wright D, Adams E, Baden A, Baron O, Belloni A, Bethani A, Eno SC, Hadley NJ, Jabeen S, Kellogg RG, Koeth T, Lai Y, Lascio S, Mignerey AC, Nabili S, Palmer C, Papageorgakis C, Wang L, Wong K, Abercrombie D, Busza W, Cali IA, Chen Y, D’Alfonso M, Eysermans J, Freer C, Gomez-Ceballos G, Goncharov M, Harris P, Hu M, Kovalskyi D, Krupa J, Lee YJ, Long K, Mironov C, Paus C, Rankin D, Roland C, Roland G, Shi Z, Stephans GSF, Wang J, Wang Z, Wyslouch B, Yang TJ, Chatterjee RM, Crossman B, Evans A, Hiltbrand J, Jain S, Joshi BM, Kapsiak C, Krohn M, Kubota Y, Mans J, Revering M, Rusack R, Saradhy R, Schroeder N, Strobbe N, Wadud MA, Cremaldi LM, Bloom K, Bryson M, Claes DR, Fangmeier C, Finco L, Golf F, Joo C, Kamalieddin R, Kravchenko I, Reed I, Siado JE, Snow GR, Tabb W, Wightman A, Yan F, Zecchinelli AG, Agarwal G, Bandyopadhyay H, Hay L, Iashvili I, Kharchilava A, McLean C, Morris M, Nguyen D, Pekkanen J, Rappoccio S, Williams A, Alverson G, Barberis E, Haddad Y, Han Y, Krishna A, Li J, Lidrych J, Madigan G, Marzocchi B, Morse DM, Nguyen V, Orimoto T, Parker A, Skinnari L, Tishelman-Charny A, Wamorkar T, Wang B, Wisecarver A, Wood D, Bhattacharya S, Bueghly J, Chen Z, Gilbert A, Hahn KA, Liu Y, Odell N, Schmitt MH, Velasco M, Band R, Bucci R, Cremonesi M, Das A, Goldouzian R, Hildreth M, Anampa KH, Jessop C, Lannon K, Lawrence J, Loukas N, Lutton L, Mariano J, Marinelli N, Mcalister I, McCauley T, Mcgrady C, Mohrman K, Moore C, Musienko Y, Ruchti R, Townsend A, Wayne M, Yockey H, Zarucki M, Zygala L, Bylsma B, Carrigan M, Durkin LS, Francis B, Hill C, Joyce M, Lesauvage A, Ornelas MN, Wei K, Winer BL, Yates BR, Addesa FM, Das P, Dezoort G, Elmer P, Frankenthal A, Greenberg B, Haubrich N, Higginbotham S, Kalogeropoulos A, Kopp G, Kwan S, Lange D, Marlow D, Mei K, Ojalvo I, Olsen J, Stickland D, Tully C, Malik S, Norberg S, Bakshi AS, Barnes VE, Chawla R, Das S, Gutay L, Jones M, Jung AW, Kondratyev D, Koshy AM, Liu M, Negro G, Neumeister N, Paspalaki G, Piperov S, Purohit A, Schulte JF, Stojanovic M, Thieman J, Wang F, Xiao R, Xie W, Dolen J, Parashar N, Acosta D, Baty A, Carnahan T, Decaro M, Dildick S, Ecklund KM, Manteca PJF, Freed S, Gardner P, Geurts FJM, Kumar A, Li W, Padley BP, Redjimi R, Rotter J, Shi W, Yang S, Yigitbasi E, Zhang L, Zhang Y, Bodek A, de Barbaro P, Demina R, Dulemba JL, Fallon C, Ferbel T, Galanti M, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Ranken E, Taus R, Onsem GPV, Goulianos K, Chiarito B, Chou JP, Gershtein Y, Halkiadakis E, Hart A, Heindl M, Jaroslawski D, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Osherson M, Routray H, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Wang H, Acharya H, Delannoy AG, Fiorendi S, Holmes T, Nibigira E, Spanier S, Bouhali O, Dalchenko M, Delgado A, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo S, Malhotra S, Mueller R, Overton D, Rathjens D, Safonov A, Akchurin N, Damgov J, Hegde V, Lamichhane K, Lee SW, Mengke T, Muthumuni S, Peltola T, Volobouev I, Whitbeck A, Appelt E, Greene S, Gurrola A, Johns W, Melo A, Romeo F, Sheldon P, Tuo S, Velkovska J, Viinikainen J, Cardwell B, Cox B, Cummings G, Hakala J, Hirosky R, Ledovskoy A, Li A, Neu C, Lara CEP, Tannenwald B, Karchin PE, Poudyal N, Banerjee S, Black K, Bose T, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Herve A, Koraka CK, Lanaro A, Loeliger A, Loveless R, Sreekala JM, Mallampalli A, Mohammadi A, Mondal S, Parida G, Pinna D, Savin A, Shang V, Sharma V, Smith WH, Teague D, Tsoi HF, Vetens W, Afanasiev S, Andreev V, Andreev Y, Aushev T, Azarkin M, Babaev A, Belyaev A, Blinov V, Boos E, Borshch V, Budkouski D, Bunichev V, Chekhovsky V, Chistov R, Dermenev A, Dimova T, Dremin I, Dubinin M, Dudko L, Epshteyn V, Gavrilov G, Gavrilov V, Gninenko S, Golovtcov V, Golubev N, Golutvin I, Gorbunov I, Ivanchenko V, Ivanov Y, Kachanov V, Kardapoltsev L, Karjavine V, Karneyeu A, Kim V, Kirakosyan M, Kirpichnikov D, Kirsanov M, Klyukhin V, Kodolova O, Konstantinov D, Korenkov V, Kozyrev A, Krasnikov N, Kuznetsova E, Lanev A, Levchenko P, Litomin A, Lychkovskaya N, Makarenko V, Malakhov A, Matveev V, Murzin V, Nikitenko A, Obraztsov S, Oskin A, Ovtin I, Palichik V, Parygin P, Perelygin V, Perfilov M, Petrushanko S, Polikarpov S, Popov V, Popova E, Radchenko O, Savina M, Savrin V, Selivanova D, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Slabospitskii S, Smirnov V, Sosnov D, Sulimov V, Tcherniaev E, Terkulov A, Teryaev O, Tlisova I, Toms M, Toropin A, Uvarov L, Uzunian A, Vlasov E, Volkov P, Vorobyev A, Voytishin N, Yuldashev BS, Zarubin A, Zhizhin I, Zhokin A. Measurement of the differential tt¯ production cross section as a function of the jet mass and extraction of the top quark mass in hadronic decays of boosted top quarks. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2023; 83:560. [PMID: 37432714 PMCID: PMC10317917 DOI: 10.1140/epjc/s10052-023-11587-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 05/04/2023] [Indexed: 07/12/2023]
Abstract
A measurement of the jet mass distribution in hadronic decays of Lorentz-boosted top quarks is presented. The measurement is performed in the lepton + jets channel of top quark pair production (t t ¯ ) events, where the lepton is an electron or muon. The products of the hadronic top quark decay are reconstructed using a single large-radius jet with transverse momentum greater than 400Ge V . The data were collected with the CMS detector at the LHC in proton-proton collisions and correspond to an integrated luminosity of 138fb - 1 . The differential t t ¯ production cross section as a function of the jet mass is unfolded to the particle level and is used to extract the top quark mass. The jet mass scale is calibrated using the hadronic W boson decay within the large-radius jet. The uncertainties in the modelling of the final state radiation are reduced by studying angular correlations in the jet substructure. These developments lead to a significant increase in precision, and a top quark mass of 173.06 ± 0.84 Ge V .
Collapse
Grants
- Austrian Federal Ministry of Education, Science and Research
- Austrian Science Fund
- Belgian Fonds de la Recherche Scientifique
- Belgian Fonds voor Wetenschappelijk Onderzoek
- CNPq
- CAPES
- FAPERJ
- FAPERGS
- FAPESP
- Bulgarian Ministry of Education and Science
- Bulgarian National Science Fund
- CERN
- Chinese Academy of Sciences
- Ministry of Science and Technology
- Chinese National Natural Science Foundation of China
- Colombian Funding Agency (MINICIENCIAS)
- Croatian Ministry of Science, Education and Sport
- Croatian Science Foundation
- Research and Innovation Foundation
- SENESCYT
- Ministry of Education and Research
- Estonian Research Council via PRG780, PRG803, and PRG445
- European Regional Development Fund
- Academy of Finland
- Finnish Ministry of Education and Culture
- Helsinki Institute of Physics
- Institut National de Physique Nucléaire et de Physique des Particules
- Centre National de la Recherche Scientifique
- Commissariat à l’Énergie Atomique et aux Énergies Alternatives
- Bundesministerium für Bildung und Forschung
- Deutsche Forschungsgemeinschaft
- Helmholtz-Gemeinschaft Deutscher Forschungszentren
- General Secretariat for Research and Innovation
- National Research, Development and Innovation Office
- Department of Atomic Energy
- Department of Science and Technology
- Institute for Research in Fundamental Studies
- Science Foundation
- Istituto Nazionale di Fisica Nucleare
- Korean Ministry of Education, Science and Technology
- National Research Foundation of Korea (NRF)
- MES
- Lithuanian Academy of Sciences
- Ministry of Education
- University of Malaya
- BUAP
- CINVESTAV
- CONACYT
- LNS
- SEP
- UASLP
- MOS
- Ministry of Business, Innovation and Employment
- Pakistan Atomic Energy Commission
- Ministry of Educaton and Science
- National Science Centre
- Fundação para a Ciência e a Tecnologia, CERN/FIS-PAR/0025/2019 and CERN/FIS-INS/0032/2019
- JINR, Dubna
- Ministry of Education and Science of the Russian Federation
- Federal Agency of Atomic Energy of the Russian Federation
- Russian Academy of Sciences
- Russian Foundation for Basic Research
- National Research Center “Kurchatov Institute”
- Ministry of Education, Science and Technological Development of Serbia
- MCIN/AEI/10.13039/501100011033, ERDF “a way of making Europe”
- Fondo Europeo de Desarrollo Regional, Spain
- Plan de Ciencia, Tecnología e Innovación del Principado de Asturias
- MOSTR
- ETH Board
- ETH Zurich
- PSI
- SNF
- UniZH
- Canton Zurich
- SER
- Thailand Center of Excellence in Physics
- Institute for the Promotion of Teaching Science and Technology of Thailand
- Special Task Force for Activating Research
- National Science and Technology Development Agency of Thailand
- Scientific and Technical Research Council of Turkey
- Turkish Atomic Energy Authority
- National Academy of Sciences of Ukraine
- Science and Technology Facilities Council
- US Department of Energy
- US National Science Foundation
- Marie-Curie programme
- European Research Council and EPLANET (European Union)
- European Research Council/European Cooperation in Science and Technology), Action CA16108
- Individual
- Leventis Foundation
- Alfred P. Sloan Foundation
- Alexander von Humboldt Foundation
- Belgian Federal Science Policy Office
- Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium)
- Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium)
- Belgian Fonds de la Recherche Scientifique, “Excellence of Science - EOS” - be.h project n. 30820817
- Belgian Fonds voor Wetenschappelijk Onderzoek, “Excellence of Science - EOS” - be.h project n. 30820817
- Beijing Municipal Science & Technology Commission, No. Z191100007219010
- Ministry of Education, Youth and Sports (MEYS) of the Czech Republic
- Deutsche Forschungsgemeinschaft (DFG) under Germany’s Excellence Strategy – EXC 2121 “Quantum Universe” – 390833306
- Deutsche Forschungsgemeinschaft (DFG), project number 400140256 - GRK2497
- Hellenic Foundation for Research and Innovation, Project Number 2288
- Hungarian Academy of Sciences
- New National Excellence Program - ÚNKP, the NKFIH research grants K 124845, K 124850, K 128713, K 128786, K 129058, K 131991, K 133046, K 138136, K 143460, K 143477, 2020-2.2.1-ED-2021-00181, and TKP2021-NKTA-64
- Council of Scientific and Industrial Research, India
- Latvian Council of Science
- Ministy of Education and Science, project no. 2022/WK/14
- National Science Center, Opus 2021/41/B/ST2/01369 and 2021/43/B/ST2/01552
- Fundação para a Ciência e a Tecnologia, CEECIND/01334/2018
- National Priorities Research Program by Qatar National Research Fund
- Ministry of Science and Higher Education, project no. 0723-2020-0041 and FSWW-2020-0008
- Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2017-0765 and projects PID2020-113705RB, PID2020-113304RB, PID2020-116262RB and PID2020-113341RB-I00
- Programa Severo Ochoa del Principado de Asturias
- Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University (Thailand)
- CUAASC
- Kavli Foundation
- Nvidia Corporation
- Welch Foundation, contract C-1845
- Weston Havens Foundation
- Institut für Hochenergiephysik (HEPHY) using the Cloud Infrastructure Platform (CLIP), Vienna
- Inter-University Institute for High Energies, Brussels
- Université Catholique de Louvain, Louvain-la-Neuve
- São Paulo Research and Analysis Center, São Paulo
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro
- University of Sofia, Sofia
- Institute of High Energy Physics of the Chinese Academy of Sciences, Beijing
- National Institute of Chemical Physics and Biophysics, Tallinn
- Helsinki Institute of Physics, Helsinki
- Grille de Recherche d’Ile de France (GRIF), Institut de recherche sur les lois fondamentales de l’Univers, CEA, Université Paris-Saclay, Gif-sur-Yvette, France and Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris
- Institut de recherche sur les lois fondamentales de l’Univers, CEA, Université Paris-Saclay, Gif-sur-Yvette
- Institut national de physique nucléaire et de physique des particules, IN2P3, Villeurbanne
- Institut Pluridisciplinaire Hubert Curien (IPHC), Strasbourg
- Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau
- Deutsches Elektronen-Synchrotron, Hamburg
- Karlsruher Institut für Technologie, Karlsruhe
- RWTH Aachen University, Aachen
- University of Ioánnina, Ioánnina
- Wigner Research Centre for Physics, Budapest
- Tata Institute of Fundamental Research, Mumbai
- INFN CNAF, Bologna
- INFN Sezione di Bari, Università di Bari, Politecnico di Bari, Bari
- INFN Sezione di Pisa, Università di Pisa, Scuola Normale Superiore di Pisa, Pisa
- INFN Sezione di Roma, Sapienza Università di Roma, Rome
- INFN Sezione di Trieste, Università di Trieste, Trieste
- Laboratori Nazionali di Legnaro, Legnaro
- Kyungpook National University, Daegu
- National Centre for Physics, Quaid-I-Azam University, Islamabad
- Akademickie Centrum Komputerowe Cyfronet AGH, Krakow
- National Centre for Nuclear Research, Swierk
- Laboratório de Instrumentação e Física Experimental de Partículas, Lisboa
- Institute for High Energy Physics of National Research Centre ‘Kurchatov Institute’, Protvino
- Institute for Nuclear Research (INR) of the Russian Academy of Sciences, Troitsk
- Institute for Theoretical and Experimental Physics named by A.I. Alikhanov of NRC ’Kurchatov Institute’, Moscow
- Joint Institute for Nuclear Research, Dubna
- Korea Institute of Science and Technology Information (KISTI), Daejeon
- Centro de Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT), Madrid
- Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander
- Port d’Informació Científica, Bellaterra
- CERN, European Organization for Nuclear Research, Geneva
- CSCS - Swiss National Supercomputing Centre, Lugano
- National Center for High-performance Computing (NCHC), Hsinchu City
- Middle East Technical University, Physics Department, Ankara
- National Scientific Center, Kharkov Institute of Physics and Technology, Kharkov
- GridPP, Brunel University, Uxbridge
- GridPP, Imperial College, London
- GridPP, Queen Mary University of London, London
- GridPP, Royal Holloway, University of London, London
- GridPP, Rutherford Appleton Laboratory, Didcot
- GridPP, University of Bristol, Bristol
- GridPP, University of Glasgow, Glasgow
- Baylor University, Waco
- California Institute of Technology, Pasadena
- Fermi National Accelerator Laboratory, Batavia
- Massachusetts Institute of Technology, Cambridge
- National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility, Berkeley
- Open Science Grid (OSG) Consortium
- Pittsburgh Supercomputing Center (PSC), Pittsburgh
- Purdue University, West Lafayette
- Texas Advanced Computing Center (TACC), Austin
- University of California, San Diego, La Jolla
- University of Colorado Boulder, Boulder
- University of Florida, Gainesville
- University of Nebraska-Lincoln, Lincoln
- University of Wisconsin - Madison, Madison
- Vanderbilt University, Nashville
Collapse
|
166
|
Deng W, Nestor CC, Leung KMM, Chew J, Wang H, Wang S, Irwin MG. Aerosol generation with the use of positive pressure ventilation via supraglottic airway devices: an observational study. Anaesthesia 2023. [PMID: 37381615 DOI: 10.1111/anae.16078] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/08/2023] [Indexed: 06/30/2023]
Abstract
The amount of aerosol generation associated with the use of positive pressure ventilation via a supraglottic airway device has not been quantified. We conducted a two-group, two-centre, prospective cohort study in which we recruited 21 low-risk adult patients scheduled for elective surgery under general anaesthesia with second-generation supraglottic airway devices. An optical particle sizer and an isokinetic sampling probe were used to record particle concentrations per second at different size distributions (0.3-10 μm) during use as well as baseline levels during two common activities (conversation and coughing). There was a median (IQR [range]) peak increase of 2.8 (1.5-4.5 [1-28.1]) and 4.1 (2.0-7.1 [1-18.2]) times background concentrations during SAD insertion and removal. Most of the particles generated during supraglottic airway insertion (85.0%) and removal (85.3%) were < 3 μm diameter. Median (IQR [range]) aerosol concentration generated by insertion (1.1 (0.6-5.1 [0.2-22.3]) particles.cm-3 ) and removal (2.1 (0.5-3.0 [0.1-18.9]) particles.cm-3 ) of SADs were significantly lower than those produced during continuous talking (44.5 (28.3-70.5 [2.0-134.5]) particles.cm-3 ) and coughing (141.0 (98.3-202.8 [4.0-296.5]) particles.cm-3 ) (p < 0.001). The aerosol levels produced were similar with the two devices. The proportion of easily inhaled and small particles (<1 μm) produced during insertion (57.5%) and removal (57.5%) was much lower than during talking (99.1%) and coughing (99.6%). These results suggest that the use of supraglottic airway devices in low-risk patients, even with positive pressure ventilation, generates fewer aerosols than speaking and coughing in awake patients.
Collapse
|
167
|
Wang H, Liu CH, Han Z, Li FH, Hao CF. [Establishment of hysteroscopic scoring system of chronic endometritis and correlative analysis with pregnancy outcomes of in vitro fertilization-embryo transfer in infertile patients]. ZHONGHUA YI XUE ZA ZHI 2023; 103:1842-1848. [PMID: 37357190 DOI: 10.3760/cma.j.cn112137-20221025-02225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 06/27/2023]
Abstract
Objective: To establish a hysteroscopic chronic endometritis (hCE) scoring system for patients with chronic endometritis, and observe the correlation of hCE score with in vitro fertilization-embryo transfer (IVF-ET) pregnancy outcomes in infertile women. Methods: The study retrospectively investigated the correlation of morphologic features and hCE score with pregnancy outcomes during IVF-ET in infertile women with CE (n=429) at Yantai Yuhuangding Hospital between January 2017 and September 2018. The clinical pregnancy rate and live birth rate with different score levels (1-3,4-7 and 8-14) after IVF-ET treatment were analyzed. Multivariate regression analysis was performed to adjust for confounding factors. The correlation and regression between hCE score and pregnancy outcomes was analyzed by curve fitting. Results: The age of 429 patients [M(Q1, Q3)] was 31 (29, 35) years. There were 50.6% (217 cases), 35.4% (152 cases), and 14.0% (60 cases) of patients with hCE score of 1-3, 4-7, and 8-14, respectively. The pregnancy rates of the three groups were 60.8% (132 cases), 44.7% (68 cases) and 16.7% (10 cases), P<0.001; The live birth rates were 51.2% (111 cases), 36.8% (56 cases) and 13.3% (8 cases), respectively (P<0.001). Compared with patients with hCE of 1-3, pregnancy rates in those with hCE of 4-7 and 8-14 were lower, and the OR values were 0.521 (0.342-0.793) and 0.129 (0.062-0.268). The live birth rates in patients with hCE of 4-7 and 8-14 were lower than that in patients with hCE of 1-3, and the OR values were 0.570 (0.372-0.873) and 0.162 (0.073-0.360), all P<0.05. Quadratic curve fitting results showed that clinical pregnancy rate and live birth rate decreased with the increase of hCE score. Conclusions: With the increase of hCE score, the clinical pregnancy rate and live birth rate of patients gradually decrease. hCE 4 is an important cut-off threshold significantly affecting the pregnancy outcome.
Collapse
|
168
|
Hu Z, Jiang D, Zhao X, Yang J, Liang D, Wang H, Zhao C, Liao J. Predicting Drug Treatment Outcomes in Childrens with Tuberous Sclerosis Complex-Related Epilepsy: A Clinical Radiomics Study. AJNR Am J Neuroradiol 2023:ajnr.A7911. [PMID: 37348968 PMCID: PMC10337615 DOI: 10.3174/ajnr.a7911] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 05/22/2023] [Indexed: 06/24/2023]
Abstract
BACKGROUND AND PURPOSE Highly predictive markers of drug treatment outcomes of tuberous sclerosis complex-related epilepsy are a key unmet clinical need. The objective of this study was to identify meaningful clinical and radiomic predictors of outcomes of epilepsy drug treatment in patients with tuberous sclerosis complex. MATERIALS AND METHODS A total of 105 children with tuberous sclerosis complex-related epilepsy were enrolled in this retrospective study. The pretreatment baseline predictors that were used to predict drug treatment outcomes included patient demographic and clinical information, gene data, electroencephalogram data, and radiomic features that were extracted from pretreatment MR imaging scans. The Spearman correlation coefficient and least absolute shrinkage and selection operator were calculated to select the most relevant features for the drug treatment outcome to build a comprehensive model with radiomic and clinical features for clinical application. RESULTS Four MR imaging-based radiomic features and 5 key clinical features were selected to predict the drug treatment outcome. Good discriminative performances were achieved in testing cohorts (area under the curve = 0.85, accuracy = 80.0%, sensitivity = 0.75, and specificity = 0.83) for the epilepsy drug treatment outcome. The model of radiomic and clinical features resulted in favorable calibration curves in all cohorts. CONCLUSIONS Our results suggested that the radiomic and clinical features model may predict the epilepsy drug treatment outcome. Age of onset, infantile spasms, antiseizure medication numbers, epileptiform discharge in left parieto-occipital area of electroencephalography, and gene mutation type are the key clinical factors to predict the epilepsy drug treatment outcome. The texture and first-order statistic features are the most valuable radiomic features for predicting drug treatment outcomes.
Collapse
|
169
|
Liu R, Chen D, Dong F, Wang H, Shang JF, Teng F. [Primary cardiac angiosarcoma: a clinicopathological and molecular genetic analysis of thirteen cases]. ZHONGHUA BING LI XUE ZA ZHI = CHINESE JOURNAL OF PATHOLOGY 2023; 52:599-605. [PMID: 37263925 DOI: 10.3760/cma.j.cn112151-20221019-00874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
Objective: To investigate the clinicopathological and molecular features of primary cardiac angiosarcoma (PCAS), and to analyze the correlation between KDR mutation and the clinicopathological features of PCAS. Methods: Thirteen cases of PCAS were collected at Beijing Anzhen Hospital, Capital Medical University from January 2007 to December 2021. The clinicopathological features, diagnosis, differential diagnosis and outcome were retrospectively analyzed. KDR mutation was detected by next-generation sequencing (NGS) and then the expression of KDR (VEGFR2) was determined by immunohistochemistry (IHC), with review of relevant literatures. Results: There were eight males and five females with a mean age of 45 years. The primary tumor was in the right atrium in 10 cases, left atrium in two cases and right ventricle in one case. The histomorphology was mainly poorly differentiated angiosarcoma (11 cases), with highly pleomorphic spindle or round cells in solid sheets, brisk mitotic activity and extensive necrosis. Vascular lumen formation was observed in two cases of high to moderate differentiation, and biphenotypic differentiation was seen in five cases. IHC staining showed CD34, CD31, Fli1, ERG and vimentin were diffusely positive, pan-cytokeratin was positive, Ki-67 index ranged from 3% to 90%, which was positively correlated with the differentiation degree and grade of the PCASs (P<0.05). At the end of follow-up period, one patient was alive, two patients were lost to follow-up, and the remaining 10 patients had an average survival time of 4.6 months. Finally, NGS sequencing was performed on seven samples after screening, and the results showed that KDR and NF1 mutations were both present in three cases. VEGFR2 expression had no significant correlation with the differentiation degree and grade of PCAS (P>0.05), and it was not related to KDR mutation. Conclusions: PCASs mainly occur in the right atrium, and are mainly poorly differentiated. Ki-67 index is helpful to assess the degree and grade of tumor differentiation. The occurrence and development of PCAS may be related to the pathway involved in KDR mutation, but KDR mutation has no clear correlation with clinicopathological characteristics of PCAS, and immunohistochemical staining can not replace gene detection to determine whether the tumor had KDR mutation.
Collapse
|
170
|
Wang H, Liu J, Kailimai A, Zheng J, Shen B, Sun Y, Zhou D. [Effects of angiotensin-converting enzyme on reproduction of Culex pipiens pallens]. ZHONGGUO XUE XI CHONG BING FANG ZHI ZA ZHI = CHINESE JOURNAL OF SCHISTOSOMIASIS CONTROL 2023; 35:251-257. [PMID: 37455095 DOI: 10.16250/j.32.1374.2023031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/18/2023]
Abstract
OBJECTIVE To investigate the role of angiotensin-converting enzyme (ACE) in the reproduction of Culex pipiens pallens, so as to provide insights into selection of targets for controlling mosquito vector populations. METHODS Cx. pipiens pallens was collected from Tangkou County, Shandong Province in 2009. Female and male mosquitoes were selected at 72 hours post-eclosion, and quantitative real-time reverse transcription PCR (qPCR) assay was used to detect the expression of ACE gene in the whole body and reproductive tissues of male mosquitoes and fertilized female mosquitoes before (0 h) and after blood meals (24, 48, 72 h), respectively. Then, 150 female and 150 male mosquitoes at 0 to 4 hours post-eclosion were selected and divided into the wild-type group (WT group), small interfering RNA-negative control group (siNC group) and small interfering RNA-ACE group (siACE group), of 50 mosquitoes in each group. Mosquitoes in the WT group were given no treatment, and mosquitoes in the siNC and siACE groups were given microinjection of siNC and siACE into the hemolymph at a dose of 0.3 μg per mosquito. The knockdown efficiency was checked using qPCR assay, and the reproductive phenotype of mosquitoes was observed. RESULTS The relative ACE gene expression was higher in the whole body of male mosquitoes (5.467 ± 1.006) relative to females (1.199 ± 0.241) (t = 5.835, P = 0.004) at 72 h post-eclosion, and the highest ACE expression was seen in reproductive tissues of male mosquitoes (199.100 ± 24.429), which was 188.3 times higher than in remaining tissues (1.057 ± 0.340) (t = 6.602, P = 0.002). Blood meal induced high ACE expression in all body tissues of fertilized female mosquitoes, with peak expression at 24 h after blood meals (14.957 ± 2.815), which was 14.8 times higher than that before blood meals (1.009 ± 0.139) (P = 0.002). The transcriptional level of ACEs continued to increase in the ovaries of female mosquitoes after blood meals during the vitellogenesis phase, peaking at 48 h after blood meals (5.500 ± 0.734), which was 5.1 times higher than that before blood meals (1.072 ± 0.178) (P = 0.002). Small RNA interference targeting ACE resulted in a 57.2% reduction in ACE expression in female mosquitoes in the siACE group (0.430 ± 0.070) relative to the siNC group (1.002 ± 0.070) (P = 0.001), and a 41.1% reduction in male mosquitoes in the siACE group (0.588 ± 0.067) relative to the siNC group (1.008 ± 0.131) (P = 0.016). Knockdown of ACE expression resulted in a 48.0% decrease in the number of eggs laid by female mosquitoes in the siACE group [(94.000 ± 27.386) eggs] relative to the siNC group [(180.800 ± 27.386)] (P < 0.001), and a 45.0% decrease in the number of eggs laid by wild female mosquitoes mated with males in the siACE group [(104.500 ± 20.965) eggs] relative to the siNC group [(190.050 ± 10.698) eggs] (P < 0.001). CONCLUSIONS Reduced ACE expression may inhibit the fecundity of male and female mosquitoes, and ACE may be as a potential target for mosquito vector population suppression.
Collapse
|
171
|
Hu H, Xie P, Li C, Ni S, Wang H, Li A, Wei H, Li W. Evaluation of CT angiography obstruction score and pulmonary perfusion defect score using the third-generation dual-source CT for pulmonary embolism. Clin Radiol 2023:S0009-9260(23)00216-7. [PMID: 37331850 DOI: 10.1016/j.crad.2023.04.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 04/07/2023] [Accepted: 04/25/2023] [Indexed: 06/20/2023]
Abstract
AIM To investigate the application value of computed tomography (CT) angiography (CTA) obstruction score and pulmonary perfusion defect score on the third-generation dual-source CT for pulmonary embolism and the changes of the right ventricular function. MATERIALS AND METHODS The clinical data of 52 patients with pulmonary embolism (PE) confirmed using the third-generation dual-source dual-energy CTPA were analysed retrospectively. These patients were divided into the severe group and non-severe group according to their clinical manifestations. The results of CTPA and dual-energy pulmonary perfusion imaging (DEPI) were recorded by two radiologists for index computation. The ratio of the maximum short-axis diameter of the right ventricle (RV) to that of the left ventricle (LV) was also recorded. The correlation analysis between RV/LV and the mean values of CTA obstruction score and perfusion defect score was performed. Correlation analysis and agreement analysis were performed on the data measured by two radiologists, CTA obstruction score, and pulmonary perfusion defect score. RESULTS CTA obstruction score and perfusion defect score measured by the two radiologists had good correlation and agreement. CTA obstruction score, perfusion defect score, and RV/LV were significantly lower in the non-severe group than in the severe PE group. RV/LV had a significant positive correlation with CTA obstruction score and perfusion defect score (p<0.05). CONCLUSION The third-generation dual-source dual-energy CT plays a positive role in assessing PE severity and RV function and can provide additional information for the clinical management and treatment of PE patients.
Collapse
|
172
|
Qin XS, Wang HM, Huang RK, Wang H. [Establishment of treatment center for peritoneal metastasis in colorectal cancer]. ZHONGHUA WEI CHANG WAI KE ZA ZHI = CHINESE JOURNAL OF GASTROINTESTINAL SURGERY 2023; 26:429-433. [PMID: 37217350 DOI: 10.3760/cma.j.cn441530-20230214-00035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
The prognosis of patients with peritoneal metastasis from colorectal cancer is poor. At present, the comprehensive treatment system based on cytoreductive surgery (CRS) combined with hyperthermic intraperitoneal chemotherapy (HIPEC) has significantly improved the survival of these patients. However, CRS and HIPEC have strict indications, high procedural difficulty, and high morbidity and mortality. If CRS+HIPEC is performed in an inexperienced center, overall survival and quality of life of patients may bo compromised. The establishment of specialized diagnosis and treatment centers can provide a guarantee for standardized clinical diagnosis and treatment. In this review, we first introduced the necessity of establishing a colorectal cancer peritoneal metastasis treatment center and the construction situation of the diagnosis and treatment center for peritoneal surface malignancies at home and abroad. Then we focused on introducing our construction experience of the colorectal peritoneal metastasis treatment center, and emphasized that the construction of the center must be done well in two aspects: firstly, the clinical optimization should be realized and the specialization of the whole workflow should be strengthened; secondly, we should ensure the quality of patient care and the rights, well-being and health of every patient.
Collapse
|
173
|
Qiu SM, Zhang H, Liu ZX, Zhang L, Meng YK, Sun XN, Xie LX, Zhang YC, Wang H, Xu K. [The application value of deep learning image reconstruction on improving image quality and evaluating the Qanadli embolism index of dual low-dose CT pulmonary angiography]. ZHONGHUA YI XUE ZA ZHI 2023; 103:1477-1482. [PMID: 37198110 DOI: 10.3760/cma.j.cn112137-20230313-00392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
Objective: To compare the image quality and Qanadli embolism index between deep learning image reconstruction (DLR) and adaptive statistical iterative reconstruction-veo (ASiR-V) in dual low-dose CT pulmonary angiography (CTPA) with low contrast agent dose and low radiation dose. Methods: Eighty-eight patients who underwent dual low-dose CTPA in the radiology department of the affiliated hospital of Xuzhou Medical University from October 2020 to March 2021 were retrospectively analyzed, including 44 males and 44 females, aged from 11 to 87 years (61±15 years). The CTPA examination were performed using 80 kV tube voltage and 20 ml contrast agent. The raw data were reconstructed using standard kernel DLR high level (DL-H) and ASiR-V reconstruction, respectively. The patients were divided into standard kernel DL-H group (n=88, 33 cases of positive embolism) and ASiR-V group (n=88, 36 cases of positive embolism). The CT value, image noise, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), subjective image quality score, Qanadli embolism index, positive rate and positive Qanadli embolism index were compared between the two groups. Results: There were no statistically significant differences in CT values of the main pulmonary artery, the right pulmonary artery and the left pulmonary artery between the standard kernel DL-H group and ASiR-V group [(405.8±111.7) vs (404.0±112.0) HU, (412.9±113.1) vs (411.5±112.2) HU, (418.1±119.9) vs (415.4±118.0) HU, respectively;all P>0.05)]. The image noise of the main pulmonary artery, the right pulmonary artery and the left pulmonary artery in the standard kernel DL-H group was significantly lower than the ASiR-V group(16.6±4.7 vs 28.1±4.8, 18.3±6.1 vs 29.8±4.9, 17.6±5.6 vs 28.4±4.7, respectively;all P<0.001). The SNR and CNR of the main pulmonary artery, the right pulmonary artery and the left pulmonary artery in the standard kernel DL-H group were significantly higher than the ASiR-V group(SNR: 25.5±7.1 vs 14.5±3.9, 23.9±7.2 vs 13.9±3.4, 24.9±7.4 vs 14.8±4.1, CNR: 21.6±6.6 vs 12.3±3.9, 20.2±6.7 vs 11.8±3.4, 21.2±6.9 vs 12.6±4.1, respectively;all P<0.001). The subjective image quality score of the standard kernel DL-H group was significantly higher than the ASiR-V group (4.6 vs 3.8, P<0.001). There were no significant difference in the Qanadli embolism index, positive rate and positive Qanadli embolism index between the two groups (all P>0.05). Conclusion: Compared with ASiR-V reconstruction algorithms group, standard kernel DL-H reconstruction algorithms can significantly improve the image quality of dual low-dose CTPA.
Collapse
|
174
|
Wang Y, Li F, Hu Y, Sun Y, Tian C, Cao Y, Wang W, Feng W, Yan J, Wei J, Du X, Wang H. Clinical outcomes of intra-arterial chemotherapy combined with iodine-125 seed brachytherapy in the treatment of malignant superior vena cava syndrome caused by small cell lung cancer. Cancer Radiother 2023:S1278-3218(23)00068-9. [PMID: 37230904 DOI: 10.1016/j.canrad.2023.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 12/29/2022] [Accepted: 01/14/2023] [Indexed: 05/27/2023]
Abstract
PURPOSE Currently there is a lack of effective treatment strategies for malignant superior vena cava syndrome (SVCS). We aim to investigate the therapeutic effect of intra-arterial chemotherapy (IAC) combined with the Single Needle Cone Puncture method for the 125I brachytherapy (SNCP-125I) in treating SVCS caused by stage III/IV Small Cell Lung Cancer (SCLC). MATERIALS AND METHODS Sixty-two patients with SCLC who developed SVCS from January 2014 to October 2020 were investigated in this study. Out of these 62 patients, 32 underwent IAC combined with SNCP-125I (Group A) and 30 patients received IAC treatment only (Group B). Clinical symptom remission, response rate, disease control rate, and overall survival of these two groups of patients were analyzed and compared. RESULTS The remission rate of symptoms including dyspnea, edema, dysphagia, pectoralgia, and cough of malignant SVCS in Group A was significantly higher than that in Group B (70.5 and 50.53%, P=0.0004, respectively). The disease control rates (DCR, PR+CR+SD) of Group A and B were 87.5 and 66.7%, respectively (P=0.049). Response rates (RR, PR+CR) of Group A and Group B were 71.9 and 40% (P=0.011). The median overall survival (OS) of Group A was significantly longer than that in Group B which was 18 months compared to 11.75 months (P=0.0360). CONCLUSIONS IAC treatment effectively treated malignant SVCS in advanced SCLC patients. IAC combined with SNCP-125I in the treatment of malignant SVCS caused by SCLC showed improved clinical outcomes including symptom remission and local tumor control rates than IAC treatment only in treating SCLC-induced malignant SVCS.
Collapse
|
175
|
Hao Y, Gao S, Zhang X, Cui M, Ding X, Wang H, Yang D, Ye H, Wang H. [Comparison of diagnostic performance of Clear Cell Likelihood Score v1.0 and v2.0 for clear renal cell carcinoma]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2023; 43:800-806. [PMID: 37313822 DOI: 10.12122/j.issn.1673-4254.2023.05.16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
OBJECTIVE To compare the performance of Clear Cell Likelihood Score (ccLS) v1.0 and v2.0 in diagnosing clear cell renal cell carcinoma (ccRCC) from small renal masses (SRM). METHODS We retrospectively analyzed the clinical data and MR images of patients with pathologically confirmed solid SRM from the First Medical Center of the Chinese PLA General Hospital between January 1, 2018, and December 31, 2021, and from Beijing Friendship Hospital of Capital Medical University and Peking University First Hospital between January 1, 2019 and May 17, 2021. Six abdominal radiologists were trained for use of the ccLS algorithm and scored independently using ccLS v1.0 and ccLS v2.0. Random- effects logistic regression modeling was used to generate plot receiver operating characteristic curves (ROC) to evaluate the diagnostic performance of ccLS v1.0 and ccLS v2.0 for ccRCC, and the area under curve (AUC) of these two scoring systems were compared using the DeLong's test. Weighted Kappa test was used to evaluate the interobserver agreement of the ccLS score, and differences in the weighted Kappa coefficients was compared using the Gwet consistency coefficient. RESULTS In total, 691 patients (491 males, 200 females; mean age, 54 ± 12 years) with 700 renal masses were included in this study. The pooled accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of ccLS v1.0 for diagnosing ccRCC were 77.1%, 76.8%, 77.7%, 90.2%, and 55.7%, as compared with 80.9%, 79.3%, 85.1%, 93.4%, 60.6% with ccLS v2.0, respectively. The AUC of ccLS v2.0 was significantly higher than that of ccLS v1.0 for diagnosis of ccRCC (0.897 vs 0.859; P < 0.01). The interobserver agreement did not differ significantly between ccLS v1.0 and ccLS v2.0 (0.56 vs 0.60; P > 0.05). CONCLUSION ccLS v2.0 has better performance for diagnosing ccRCC than ccLS v1.0 and can be considered for use to assist radiologists with their routine diagnostic tasks.
Collapse
|
176
|
Wang H, Sun Z, Zhao W, Geng B. [S100A10 promotes proliferation and invasion of lung adenocarcinoma cells by activating the Akt-mTOR signaling pathway]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2023; 43:733-740. [PMID: 37313814 DOI: 10.12122/j.issn.1673-4254.2023.05.08] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
OBJECTIVE To investigate the effects of expression levels of S100 calcium-binding protein A10 (S100A10) in lung adenocarcinoma (LUAD) on patient prognosis and the regulatory role of S100A10 in lung cancer cell proliferation and metastasis. METHODS Immunohistochemistry was used to detect the expression levels of S100A10 in LUAD and adjacent tissues, and the relationship between S100A10 expression and clinicopathological parameters and prognosis of the patients was statistically analyzed. The lung adenocarcinoma expression dataset in TCGA database was analyzed using gene enrichment analysis (GSEA) to predict the possible regulatory pathways of S100A10 in the development of lung adenocarcinoma. Lactate production and glucose consumption of lung cancer cells with S100A10 knockdown or overexpression were analyzed to assess the level of glycolysis. Western blotting, CCK-8 assay, EdU-594 assay, and Transwell assays were performed to determine the expression level of S100A10 protein, proliferation and invasion ability of lung cancer cells. A549 cells with S100A10 knockdown and H1299 cells with S100A10 overexpression were injected subcutaneously in nude mice, and tumor growth was observed. RESULTS The expression level of S100A10 was significantly upregulated in LUAD tissues as compared with the adjacent tissues, and an elevated S100A10 expression level was associated with lymph node metastasis, advanced tumor stage and distant organ metastasis (P < 0.05), but not with tumor differentiation or the patients' age or gender (P > 0.05). Survival analysis showed that elevated S100A10 expressions in the tumor tissue was associated with a poor outcome of the patients (P < 0.001). In the lung cancer cells, S100A10 overexpression significantly promoted cell proliferation and invasion in vitro (P < 0.001). GSEA showed that the gene sets of glucose metabolism, glycolysis and mTOR signaling pathway were significantly enriched in high expressions of S100A10. In the tumor-bearing nude mice, S100A10 overexpression significantly promoted tumor growth, while S100A10 knockdown obviously suppressed tumor cell proliferation (P < 0.001). CONCLUSION S100A10 overexpression promotes glycolysis by activating the Akt-mTOR signaling pathway to promote proliferation and invasion of lung adenocarcinoma cells.
Collapse
|
177
|
Yang H, Wang H, Li C, He X, Lei S, Li W, Meng P, Wang J, Liu J, Wang Y. [ Zuogui Jiangtang Jieyu Decoction promotes neural stem cell self-renewal and activates Shh signaling in the hippocampal dentate gyrus of diabetic rats with depression]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2023; 43:694-701. [PMID: 37313809 DOI: 10.12122/j.issn.1673-4254.2023.05.03] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
OBJECTIVE To investigate the effect of Zuogui Jiangtang Jieyu Decoction (ZJJ) on Shh signaling and self-renewal of neural stem cells in the hippocampal dentate gyrus of diabetic rats with depression. METHODS Diabetic rat models with depression were randomly divided into model group, positive drug (metformin + fluoxetine) group, and low-, medium-, and high-dose ZJJ groups (n=16), with normal SD rats as the control group. The positive drugs and ZJJ were administered by gavage, and the rats in the control and model groups were given distilled water. After the treatment, blood glucose level was detected using test strips, and behavioral changes of the rats were assessed by forced swimming test and water maze test. ELISA was used to examine the serum level of leptin; The expressions of nestin and Brdu proteins in the dentate gyrus of the rats were detected using immunofluorescence assay, and the expressions of self-renewal marker proteins and Shh signaling proteins were detected using Western blotting. RESULTS The diabetic rats with depression showed significantly increased levels of blood glucose and leptin (P < 0.01) and prolonged immobility time in forced swimming test (P < 0.01) and increased stage climbing time with reduced stage seeking time and stage crossings in water maze test (P < 0.01). The expressions of nestin and Brdu in the dentate gyrus, the expressions of cyclin D1, SOX2, Shh, Ptch1, Smo in the hippocampus and the nuclear expression of Gli-1 were decreased (P < 0.01) while hippocampal Gli-3 expression was increased significantly (P < 0.01) in the rat models. Treatment of rat models with high-dose ZJJ significantly reduced the blood glucose (P < 0.01) and leptin level (P < 0.05) and improved their performance in behavioral tests (P < 0.01). The treatment also obviously increased the expressions of nestin, Brdu, cyclin D1, SOX2, Shh, Ptch1, and Smo and the nuclear expression of Gli-1 in the dentate gyrus (P < 0.01) and reduced hippocampal expression of Gli-3 (P < 0.05) in the rat models. CONCLUSION ZJJ can significantly improve the self-renewal ability of neural stem cells and activate Shh signaling in dentate gyrus of diabetic rats with depression.
Collapse
|
178
|
Xu D, Gu XK, Li HK, Weng YC, Wang YP, Li J, Wang H, Zhu SY, You JQ. Quantum Control of a Single Magnon in a Macroscopic Spin System. PHYSICAL REVIEW LETTERS 2023; 130:193603. [PMID: 37243655 DOI: 10.1103/physrevlett.130.193603] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 04/17/2023] [Indexed: 05/29/2023]
Abstract
Nonclassical quantum states are the pivotal features of a quantum system that differs from its classical counterpart. However, the generation and coherent control of quantum states in a macroscopic spin system remain an outstanding challenge. Here we experimentally demonstrate the quantum control of a single magnon in a macroscopic spin system (i.e., 1 mm-diameter yttrium-iron-garnet sphere) coupled to a superconducting qubit via a microwave cavity. By tuning the qubit frequency in situ via the Autler-Townes effect, we manipulate this single magnon to generate its nonclassical quantum states, including the single-magnon state and the superposition of single-magnon state and vacuum (zero magnon) state. Moreover, we confirm the deterministic generation of these nonclassical states by Wigner tomography. Our experiment offers the first reported deterministic generation of the nonclassical quantum states in a macroscopic spin system and paves a way to explore its promising applications in quantum engineering.
Collapse
|
179
|
Li D, Qin Y, Fan SM, Peng ZB, Ge H, Chang ZR, Zhang R, Yang XK, Zhao HT, Zheng JD, Yu SC, Wang H, Yan J, Li ZJ. [Performance of screening of contacts of COVID-19 cases in same flight]. ZHONGHUA LIU XING BING XUE ZA ZHI = ZHONGHUA LIUXINGBINGXUE ZAZHI 2023; 44:713-719. [PMID: 37221058 DOI: 10.3760/cma.j.cn112338-20230228-00112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Objective: To understand the performance of 2019-nCoV nucleic acid detection in screening of contacts of COVID-19 cases in same flights and provide evidence for the effective screening of persons at high risk for the infection in domestic flights. Methods: The information of passengers who took same domestic flights with COVID-19 cases in China from April 1, 2020 to April 30, 2022 were retrospectively collected,and χ2 test was used to analyze positive nucleic acid detection rates in the passengers in different times before the onsets of the index cases, in different seat rows and in epidemic periods of different 2019-nCoV variants. Results: During the study period, a total of 433 index cases were identified among 23 548 passengers in 370 flights. Subsequently, 72 positive cases of 2019-nCoV nucleic acid were detected in the passengers, in whom 57 were accompanying persons of the index cases. Further analysis of the another 15 passengers who tested positive for the nucleic acid showed that 86.67% of them had onsets or positive detections within 3 days after the diagnosis of the index cases, and the boarding times were all within 4 days before the onsets of the index cases. The positive detection rate in the passengers who seated in first three rows before and after the index cases was 0.15% (95%CI: 0.08%-0.27%), significantly higher than in the passengers in other rows (0.04%, 95%CI: 0.02%-0.10%, P=0.007),and there was no significant difference in the positive detection rate among the passengers in each of the 3 rows before and after the index cases (P=0.577). No significant differences were found in the positive detection rate in the passengers, except the accompanying persons, among the epidemics caused by different 2019-nCoV variants (P=0.565). During the Omicron epidemic period, all the positive detections in the passengers, except the accompanying persons, were within 3 days before the onset of the index cases. Conclusions: The screening test of 2019-nCoV nucleic acid can be conducted in the passengers took the same flights within 4 days before the onsets of the index cases on board. Passengers who seated within 3 rows from the index cases can considered as the close contacts at high risk for 2019-nCoV, for whom screening should be conducted first and special managements are needed. The passengers in other rows can be classified as general risk persons for screening and management.
Collapse
|
180
|
Wang X, Yin Y, Wang H, Long PP, Chen WH, Yuan Y, Wu TC. [Progress in research of relationship between metal or metalloid and persistent organic pollutants exposures and cardiovascular disease]. ZHONGHUA LIU XING BING XUE ZA ZHI = ZHONGHUA LIUXINGBINGXUE ZAZHI 2023; 44:705-712. [PMID: 37221057 DOI: 10.3760/cma.j.cn112338-20221128-01004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Cardiovascular disease (CVD) is the leading cause of mortality and healthy life expectancy loss, ranking first in causing the global burden of disease. In addition to the traditional CVD risk factors, such as hypertension and diabetes, environmental chemical pollutants may also play a role in the development of CVD. This paper summarizes the evidence regarding the relation of exposures to metal or metalloid and persistent organic pollutants with risk for CVD and introduces the research progress in the relation between the exposures to two environmental chemical pollutants and CVD risk. The study aims to provide scientific evidence for the effective prevention of CVD through the management of chemical pollutants in environment.
Collapse
|
181
|
Zhang FZ, Duan QC, Wang GX, Yang XJ, Zhang W, Zhao J, Wang H, Li HB, Ni X, Zhang J. [Clinical characteristics and serious complications of esophageal button battery ingestion in the pediatric on 83 cases]. ZHONGHUA ER BI YAN HOU TOU JING WAI KE ZA ZHI = CHINESE JOURNAL OF OTORHINOLARYNGOLOGY HEAD AND NECK SURGERY 2023; 58:481-485. [PMID: 37150995 DOI: 10.3760/cma.j.cn115330-20221026-00632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
Objective: To analyze the clinical characteristics and complications of esophageal foreign bodies of button battery ingestion in children. Methods: A retrospective descriptive study included 83 children who were hospitalized in our hospital on account of button battery ingestion from January 2011 to December 2021. There were 50 males (60.2%) and 33 females (39.8%). The age ranged from 7.6 months to one month off 10 years, with a median age of 18 months. The data of patient demographics and time from ingestion to admission, location, symptoms, management, complications, and follow-up outcome were recorded. SPSS17.0 software was used for statistical analysis. Results: Seventy-two children (86.7%) were younger than 3 years old. The time from ingestion to admission ranged from 1 h to 2 months, with a median time of 8 h. Among the 63 children who were first diagnosed in our hospital, the most common clinical symptoms were nausea and vomiting (32 cases, 50.8%), dysphagia (31 cases, 49.2%), salivation (11 cases, 17.5%) and fever (10 cases, 15.9%). Seventy-three of 83 cases had complete preoperative diagnostic tests, and 55 cases (75.3%) were diagnosed by X-ray. In 56 cases (76.7%), the foreign badies were impacted in the upper third of esophagus. In 72 cases (86.7%), the foreign badies were removed by rigid esophagoscopy. 23 (27.7%) had serious complications, including tracheoesophageal fistula in 15 cases(TEF;65.2%), vocal cord paralysis (VCP;34.8%) in 8 cases, esophageal perforation in 3 cases (EP;13.0%), hemorrhage in 3 cases(13.0%), mediastinitis in 3 cases (13%), and periesophageal abscess in 1 case (4.3%). There were significant differences in the exposure time of foreign bodies and unwitnessed ingestion by guardians in the complications group (P<0.05). 2 cases died (2.4%)respectively due to arterial esophageal fistula bleeding and respiratory failure caused by stent displacement during the treatment of tracheoesophageal fistula. Conclusion: Accidental button battery ingestion can be life-threatening. and it mostly happens in children under 3 years old. Serious complications may happen cause of non-specific clinical manifestations and unwitnessed ingestions. Anterior and lateral chest X-ray is the first examination choice. Tracheoesophageal fistula is the most common serious complication.
Collapse
|
182
|
Shen X, He S, Wang J, Qian X, Wang H, Zhang B, Chen Y, Li H, An Y, Gong Q, Li G. Modifiable predictors of type 2 diabetes mellitus and roles of insulin resistance and β-cell function over a 6-year study and 30-year follow-up. J Endocrinol Invest 2023; 46:883-891. [PMID: 36219314 DOI: 10.1007/s40618-022-01932-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 09/29/2022] [Indexed: 04/17/2023]
Abstract
PURPOSE This study aimed to examine the modifiable predictors of T2DM and the roles of insulin resistance (IR) and β-cell function over a 6-year study and 30-year follow-up. METHODS A total of 462 non-diabetic participants, 282 with impaired glucose tolerance (IGT), and 180 with normal glucose tolerance (NGT) were enrolled in this analysis. The Matsuda IR index and area under the curve of insulin-to-glucose ratio (AUCI/G-R) were used as IR and β-cell function indices in the analysis. RESULTS In all participants, multivariable analysis showed that BMI, glucose status, Matsuda IR index and systolic blood pressure (SBP) at baseline were independently associated with an increased risk of T2DM over 30 years, whereas lifestyle intervention and AUCI/G-R were inversely associated with this risk. The predictive effect of the Matsuda IR index and AUCI/G-R in participants with IGT was consistent with the results of all participants, whereas in those with NGT, only the Matsuda IR index, not the AUCI/G-R, predicted the development of T2DM (HR = 1.42, 95% CI 1.07-1.89 vs HR = 1.09, 95% CI 0.76-1.56). The predictive effect of the Matsuda IR index on T2DM existed even in participants with BMI < 25 (p = 0.049). CONCLUSION The modifiable predictors of T2DM in Chinese adults were high BMI, hypertension, mild hyperglycaemia, IR, and β-cell dysfunction. Both IR and β-cell function contributed to the development of T2DM in the long term; however, IR remains the initial and long-standing key risk factor for T2DM.
Collapse
|
183
|
Ma Y, Du Y, Yang J, He Q, Wang H, Lin X. Anti-inflammatory effect of Irisin on LPS-stimulated macrophages through inhibition of MAPK pathway. Physiol Res 2023; 72:235-249. [PMID: 37159857 PMCID: PMC10226406 DOI: 10.33549/physiolres.934937] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 12/20/2022] [Indexed: 06/29/2023] Open
Abstract
This study aimed to investigate the effect of irisin on LPS-induced inflammation in RAW 264.7 macrophages through inhibition of the mitogen-activated protein kinase (MAPK) pathway. A network pharmacology-based approach, combined with molecular docking and in vitro validation were performed to identify the biological activity, key targets, and potential pharmacological mechanisms of irisin against LPS-induced inflammation. By matching 100 potential genes of irisin with 1893 ulcerative colitis (UC) related genes, 51 common genes were obtained. Using protein-protein interaction networks (PPI) and component-target network analysis,10 core genes of irisin on UC were further identified. The results of gene ontology (GO) enrichment analysis showed that the molecular mechanisms of irisin on UC were mainly related to major enrichment in the categories of response to xenobiotic stimulus, response to the drug, and negative regulation of gene expression. Molecular docking results showed good binding activity for almost all core component targets. More importantly, MTT assay and flow cytometry results showed that LPS-induced cytotoxicity was reversed by irisin, after coincubation with irisin, the level of IL-12 and IL-23 decreased in LPS-stimulated RAW264.7 macrophages. Irisin pretreatment significantly inhibited the phosphorylation of ERK and AKT and increased the expression of PPAR alpha and PPAR gamma. LPS-induced enhancement of phagocytosis and cell clearance were reversed by irisin pretreatment. Irisin ameliorated LPS-induced inflammation by inhibiting cytotoxicity and apoptosis, and this protective effect may be mediated through the MAPK pathway. These findings confirmed our prediction that irisin plays an anti-inflammatory role in LPS-induced inflammation via the MAPK pathway.
Collapse
|
184
|
Ma Y, Du Y, Yang J, He Q, Wang H, Lin X. Anti-inflammatory effect of Irisin on LPS-stimulated macrophages through inhibition of MAPK pathway. Physiol Res 2023; 72:235-249. [PMID: 37159857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/11/2023] Open
Abstract
This study aimed to investigate the effect of irisin on LPS-induced inflammation in RAW 264.7 macrophages through inhibition of the mitogen-activated protein kinase (MAPK) pathway. A network pharmacology-based approach, combined with molecular docking and in vitro validation were performed to identify the biological activity, key targets, and potential pharmacological mechanisms of irisin against LPS-induced inflammation. By matching 100 potential genes of irisin with 1893 ulcerative colitis (UC) related genes, 51 common genes were obtained. Using protein-protein interaction networks (PPI) and component-target network analysis,10 core genes of irisin on UC were further identified. The results of gene ontology (GO) enrichment analysis showed that the molecular mechanisms of irisin on UC were mainly related to major enrichment in the categories of response to xenobiotic stimulus, response to the drug, and negative regulation of gene expression. Molecular docking results showed good binding activity for almost all core component targets. More importantly, MTT assay and flow cytometry results showed that LPS-induced cytotoxicity was reversed by irisin, after coincubation with irisin, the level of IL-12 and IL-23 decreased in LPS-stimulated RAW264.7 macrophages. Irisin pretreatment significantly inhibited the phosphorylation of ERK and AKT and increased the expression of PPAR alpha and PPAR gamma. LPS-induced enhancement of phagocytosis and cell clearance were reversed by irisin pretreatment. Irisin ameliorated LPS-induced inflammation by inhibiting cytotoxicity and apoptosis, and this protective effect may be mediated through the MAPK pathway. These findings confirmed our prediction that irisin plays an anti-inflammatory role in LPS-induced inflammation via the MAPK pathway.
Collapse
|
185
|
Pohl T, Sun YL, Obertelli A, Lee J, Gómez-Ramos M, Ogata K, Yoshida K, Cai BS, Yuan CX, Brown BA, Baba H, Beaumel D, Corsi A, Gao J, Gibelin J, Gillibert A, Hahn KI, Isobe T, Kim D, Kondo Y, Kobayashi T, Kubota Y, Li P, Liang P, Liu HN, Liu J, Lokotko T, Marqués FM, Matsuda Y, Motobayashi T, Nakamura T, Orr NA, Otsu H, Panin V, Park SY, Sakaguchi S, Sasano M, Sato H, Sakurai H, Shimizu Y, Stefanescu AI, Stuhl L, Suzuki D, Togano Y, Tudor D, Uesaka T, Wang H, Xu X, Yang ZH, Yoneda K, Zenihiro J. Multiple Mechanisms in Proton-Induced Nucleon Removal at ∼100 MeV/Nucleon. PHYSICAL REVIEW LETTERS 2023; 130:172501. [PMID: 37172241 DOI: 10.1103/physrevlett.130.172501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 03/17/2023] [Accepted: 03/29/2023] [Indexed: 05/14/2023]
Abstract
We report on the first proton-induced single proton- and neutron-removal reactions from the neutron-deficient ^{14}O nucleus with large Fermi-surface asymmetry S_{n}-S_{p}=18.6 MeV at ∼100 MeV/nucleon, a widely used energy regime for rare-isotope studies. The measured inclusive cross sections and parallel momentum distributions of the ^{13}N and ^{13}O residues are compared to the state-of-the-art reaction models, with nuclear structure inputs from many-body shell-model calculations. Our results provide the first quantitative contributions of multiple reaction mechanisms including the quasifree knockout, inelastic scattering, and nucleon transfer processes. It is shown that the inelastic scattering and nucleon transfer, usually neglected at such energy regime, contribute about 50% and 30% to the loosely bound proton and deeply bound neutron removal, respectively. These multiple reaction mechanisms should be considered in analyses of inclusive one-nucleon removal cross sections measured at intermediate energies for quantitative investigation of single-particle strengths and correlations in atomic nuclei.
Collapse
|
186
|
Wang H, Jiang HY, Zhang YX, Jin HY, Fei BY, Jiang JL. Mesenchymal stem cells transplantation for perianal fistulas: a systematic review and meta-analysis of clinical trials. Stem Cell Res Ther 2023; 14:103. [PMID: 37101285 PMCID: PMC10134595 DOI: 10.1186/s13287-023-03331-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 04/06/2023] [Indexed: 04/28/2023] Open
Abstract
BACKGROUND Perianal fistulas, characterised as granulomatous inflammation of fistulas around the anal canal, are associated with significant morbidity resulting in a negative impact on quality of life and a tremendous burden to the healthcare system. Treatment of anal fistulas usually consists of anal surgery; however, results of closure rates are not satisfactory especially with complex perianal fistulas, after which many patients may suffer from anal incontinence. Recently, the administration of mesenchymal stem cells (MSCs) has shown promising efficacy. Herein, we aim to explore whether MSCs are effective for complex perianal fistulas and if they have either short-term, medium-term, long-term or over-long-term efficacy. Additionally, we want to elucidate whether factors such as drug dosage, MSC source, cell type, and disease aetiology influence treatment efficacy. We searched four online databases and analysed data based on information within the clinical trials registry. The outcomes of eligible trials were analysed with Review Manager 5.4.1. Relative risk and related 95% confidence interval were calculated to compare the effect between the MSCs and control groups. In addition, the Cochrane risk of bias tool was applied to evaluate the bias risk of eligible studies. Meta-analyses showed that therapy with MSCs was superior to conventional treatment for complex perianal fistulas in short-, long- and over-long-term follow-up phases. However, there was no statistical difference in treatment efficacy in the medium term between the two methods. Subgroup meta-analyses showed factors including cell type, cell source and cell dosage were superior compared to the control, but there was no significant difference between different experimental groups of those factors. Besides, local MSCs therapy has shown more promising results for fistulas as a result of Crohn's Disease (CD). Although we tend to maintain that MSCs therapy is effective for cryptoglandular fistulas equally, more studies are needed to confirm this conclusion in the future. SHORT CONCLUSION MSCs Transplantation could be a new therapeutic method for complex perianal fistulas of both cryptoglandular and CD origin showing high efficacy in the short-term to over-long-term phases, as well as high efficacy in sustained healing. The difference in cell types, cell sources and cell dosages did not influence MSCs' efficacy.
Collapse
|
187
|
Wang XN, Wu SD, Han JY, Deng TL, Wang C, Wang H. [The role of fluorescent cholangiography in preventing biliary tract injury and finding bile leakage]. ZHONGHUA YI XUE ZA ZHI 2023; 103:1242-1244. [PMID: 37087409 DOI: 10.3760/cma.j.cn112137-20221023-02215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 04/24/2023]
Abstract
The study investigated the clinical value of fluorescence cholangiography using indocyanine green (ICG) in laparoscopic cholecystectomy (LC) and laparoscopic common bile duct exploration (LCBDE) in preventing bile duct injury (BDI) and detecting bile leakage. A total of 300 patients who underwent fluorescent navigation LC and LCBDE in the Second Department of General Surgery, Shengjing Hospital Affiliated to China Medical University from June 2020 to September 2022 were selected as the research objects for observation and analysis. There were 114 males and 186 females, and aged (50.7±14.0) years with the body mass index (BMI) of (23.6±1.6) kg/m². All 300 cases of fluorescence navigation surgery were successfully completed, of which 5 patients received fluorescence-guided LCBDE and primary suture. The results showed that the application of fluorescence cholangiography with ICG can effectively avoid and detect the occurrence of BDI and bile leakage. Meanwhile, it is reasonable to hypothesize that ICG can be used for rapid localization and the final check to prevent the recurrence of bile leakage when bile leakage is suspected in the second operation.
Collapse
|
188
|
Chen Y, Wang H, Ni Q, Wang T, Bao C, Geng Y, Lu Y, Cao Y, Li Y, Li L, Xu Y, Sun W. B-Cell-Derived TGF-β1 Inhibits Osteogenesis and Contributes to Bone Loss in Periodontitis. J Dent Res 2023:220345231161005. [PMID: 37082865 DOI: 10.1177/00220345231161005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/22/2023] Open
Abstract
B cells play a vital role in the elimination of periodontal pathogens, the regulation of the immune response, and the induction of tissue destruction. However, the role of B cells in the dysfunction of mesenchymal stem cell (MSC) differentiation to osteoblasts in periodontitis (PD) has been poorly studied. Here we show that the frequency of CD45-CD105+CD73+ MSCs in inflamed periodontal tissues is significantly decreased in patients with PD compared with that of healthy controls. CD19+ B cells dominate the infiltrated immune cells in periodontal tissues of patients with PD. Besides, B-cell depletion therapy reduces the alveolar bone loss in a ligature-induced murine PD model. B cells from PD mice express a high level of TGF-β1 and inhibit osteoblast differentiation by upregulating p-Smad2/3 expression and downregulating Runx2 expression. The inhibitory effect of PD B cells on osteoblast differentiation is reduced by TGF-β1 neutralization or Smad2/3 inhibitor. Importantly, B-cell-specific knockout of TGF-β1 in PD mice significantly increases the number of CD45-CD105+Sca1+ MSCs, ALP-positive osteoblast activity, and alveolar bone volume but decreases TRAP-positive osteoclast activity compared with that from control littermates. Lastly, CD19+CD27+CD38- memory B cells dominate the B-cell infiltrates in periodontal tissues from both patients with PD and patients with PD after initial periodontal therapy. Memory B cells in periodontal tissues of patients with PD express a high level of TGF-β1 and inhibit MSC differentiation to osteoblasts. Thus, TGF-β1 produced by B cells may contribute to alveolar bone loss in periodontitis, in part, by suppressing osteoblast activity.
Collapse
|
189
|
Peng P, Ji YQ, Zhao NH, Liu T, Wang H, Yao J. [Evaluation of peripheral blood T-lymphocyte subpopulations features in patients with hepatitis B virus-related acute-on-chronic liver failure based on single-cell sequencing technology]. ZHONGHUA GAN ZANG BING ZA ZHI = ZHONGHUA GANZANGBING ZAZHI = CHINESE JOURNAL OF HEPATOLOGY 2023; 31:422-427. [PMID: 37248982 DOI: 10.3760/cma.j.cn501113-20220205-00056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Objective: T lymphocyte exhaustion is an important component of immune dysfunction. Therefore, exploring peripheral blood-exhausted T lymphocyte features in patients with hepatitis B virus-related acute-on-chronic liver failure may provide potential therapeutic target molecules for ACLF immune dysfunction. Methods: Six cases with HBV-ACLF and three healthy controls were selected for T-cell heterogeneity detection using the single-cell RNA sequencing method. In addition, exhausted T lymphocyte subpopulations were screened to analyze their gene expression features, and their developmental trajectories quasi-timing. An independent sample t-test was used to compare the samples between the two groups. Results: Peripheral blood T lymphocytes in HBV-ACLF patients had different differentiation trajectories with different features distinct into eight subpopulations. Among them, the CD4(+)TIGIT(+) subsets (P = 0.007) and CD8(+)LAG3(+) (P = 0.010) subsets with highly exhausted genes were significantly higher than those in healthy controls. Quasi-time analysis showed that CD4(+)TIGIT(+) and CD8(+)LAG3(+) subsets appeared in the late stage of T lymphocyte differentiation, suggesting the transition of T lymphocyte from naïve-effector-exhausted during ACLF pathogenesis. Conclusion: There is heterogeneity in peripheral blood T lymphocyte differentiation in patients with HBV-ACLF, and the number of exhausted T cells featured by CD4(+)TIGIT(+)T cell and CD8(+)LAG3(+) T cell subsets increases significantly, suggesting that T lymphocyte immune exhaustion is involved in the immune dysfunction of HBV-ACLF, thereby identifying potential effective target molecules for improving ACLF patients' immune function.
Collapse
|
190
|
Yu X, Feng B, Lan Y, Li J, Ye G, Li Q, Zhao F, Gu Y, You D, Zhu Y, Yu M, Wang H, Yang H. A 2-Stage Root Analog Implant with Compact Structure, Uniform Roughness, and High Accuracy. J Dent Res 2023; 102:636-644. [PMID: 37036092 DOI: 10.1177/00220345231160670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/11/2023] Open
Abstract
Immediate implant placement has the advantages of shortening the operation time, reducing the treatment cycle and cost. At present, this technology has been used widely, but the indications of immediate implantation are still limited. Here, a novel type of root analog implant (RAI) was manufactured by selective laser melting technology to address the limitation. Under optimized condition, RAIs were printed with the internal density of 99.73% and the uniform surface roughness of 11 μm (Sa). Besides, the deviation between RAI specimen and design models is controlled within 0.15 mm after optimizing scanning parameters. The substrate printed could promote human bone marrow stromal cell proliferation, spreading, and osteogenic differentiation. The bone-implant contact (BIC, 75% ± 7%) and bone volume/total volume (BV/TV, 74% ± 7%) of RAIs were significantly higher than that of conventional implants (BIC, 66% ± 5%; BV/TV, 62% ± 5%) in in vivo experiments. Further, customized abutments were designed for the RAIs, improving the masticatory ability of the beagle dogs after crown restoration. This study aims to design a personalized 2-stage RAI with compact structure and uniform roughness, in order to achieve better fracture resistance, initial osseointegration efficiency, and dispersed stress in immediate implantation. It provides a certain guiding value for standardizing the manufacture and clinical application of RAI in immediate implantation.
Collapse
|
191
|
Miao K, Cao WH, Lyu J, Yu CQ, Wang SF, Huang T, Sun DJY, Liao CX, Pang YJ, Pang ZC, Yu M, Wang H, Wu XP, Dong Z, Wu F, Jiang GH, Wang XJ, Liu Y, Deng J, Lu L, Gao WJ, Li LM. [A descriptive analysis of hyperlipidemia in adult twins in China]. ZHONGHUA LIU XING BING XUE ZA ZHI = ZHONGHUA LIUXINGBINGXUE ZAZHI 2023; 44:544-551. [PMID: 37147824 DOI: 10.3760/cma.j.cn112338-20221007-00859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Objective: To describe the distribution characteristics of hyperlipidemia in adult twins in the Chinese National Twin Registry (CNTR) and explore the effect of genetic and environmental factors on hyperlipidemia. Methods: Twins recruited from the CNTR in 11 project areas across China were included in the study. A total of 69 130 (34 565 pairs) of adult twins with complete information on hyperlipidemia were selected for analysis. The random effect model was used to characterize the population and regional distribution of hyperlipidemia among twins. The concordance rates of hyperlipidemia were calculated in monozygotic twins (MZ) and dizygotic twins (DZ), respectively, to estimate the heritability. Results: The age of all participants was (34.2±12.4) years. This study's prevalence of hyperlipidemia was 1.3% (895/69 130). Twin pairs who were men, older, living in urban areas, married,had junior college degree or above, overweight, obese, insufficient physical activity, current smokers, ex-smokers, current drinkers, and ex-drinkers had a higher prevalence of hyperlipidemia (P<0.05). In within-pair analysis, the concordance rate of hyperlipidemia was 29.1% (118/405) in MZ and 18.1% (57/315) in DZ, and the difference was statistically significant (P<0.05). Stratified by gender, age, and region, the concordance rate of hyperlipidemia in MZ was still higher than that in DZ. Further, in within-same-sex twin pair analyses, the heritability of hyperlipidemia was 13.04% (95%CI: 2.61%-23.47%) in the northern group and 18.59% (95%CI: 4.43%-32.74%) in the female group, respectively. Conclusions: Adult twins were included in this study and were found to have a lower prevalence of hyperlipidemia than in the general population study, with population and regional differences. Genetic factors influence hyperlipidemia, but the genetic effect may vary with gender and area.
Collapse
|
192
|
Wang YT, Cao WH, Lyu J, Yu CQ, Wang SF, Huang T, Sun DJY, Liao CX, Pang YJ, Pang ZC, Yu M, Wang H, Wu XP, Dong Z, Wu F, Jiang GH, Wang XJ, Liu Y, Deng J, Lu L, Gao WJ, Li LM. [A descriptive analysis on hypertension in adult twins in China]. ZHONGHUA LIU XING BING XUE ZA ZHI = ZHONGHUA LIUXINGBINGXUE ZAZHI 2023; 44:536-543. [PMID: 37147823 DOI: 10.3760/cma.j.cn112338-20221007-00860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Objective: To describe the distribution characteristics of hypertension among adult twins in the Chinese National Twin Registry (CNTR) and to provide clues for exploring the role of genetic and environmental factors on hypertension. Methods: A total of 69 220 (34 610 pairs) of twins aged 18 and above with hypertension information were selected from CNTR registered from 2010 to 2018. Random effect models were used to describe the population and regional distribution of hypertension in twins. To estimate the heritability, the concordance rates of hypertension were calculated and compared between monozygotic twins (MZ) and dizygotic twins (DZ). Results: The age of all participants was (34.1±12.4) years. The overall self-reported prevalence of hypertension was 3.8%(2 610/69 220). Twin pairs who were older, living in urban areas, married, overweight or obese, current smokers or ex-smokers, and current drinkers or abstainers had a higher self-reported prevalence of hypertension (P<0.05). Analysis within the same-sex twin pairs found that the concordance rate of hypertension was 43.2% in MZ and 27.0% in DZ, and the difference was statistically significant (P<0.001). The heritability of hypertension was 22.1% (95%CI: 16.3%- 28.0%). Stratified by gender, age, and region, the concordance rate of hypertension in MZ was still higher than that in DZ. The heritability of hypertension was higher in female participants. Conclusions: There were differences in the distribution of hypertension among twins with different demographic and regional characteristics. It is indicated that genetic factors play a crucial role in hypertension in different genders, ages, and regions, while the magnitude of genetic effects may vary.
Collapse
|
193
|
Zhang FZ, Duan QC, Wang GX, Zhao J, Wang H, Li HB, Ni X, Zhang J. [Research progress of button battery ingestion in children]. ZHONGHUA ER BI YAN HOU TOU JING WAI KE ZA ZHI = CHINESE JOURNAL OF OTORHINOLARYNGOLOGY HEAD AND NECK SURGERY 2023; 58:394-398. [PMID: 37026163 DOI: 10.3760/cma.j.cn115330-20220907-00548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/08/2023]
|
194
|
Wang H, Chang J, Zhang W, Fang Y, Li S, Fan Y, Jiang S, Yao Y, Deng K, Lu L, Bao X, Feng F, Wang R, Feng M. Radiomics model and clinical scale for the preoperative diagnosis of silent corticotroph adenomas. J Endocrinol Invest 2023:10.1007/s40618-023-02042-2. [PMID: 37020103 DOI: 10.1007/s40618-023-02042-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 02/12/2023] [Indexed: 04/07/2023]
Abstract
OBJECTIVE Silent corticotroph adenomas (SCAs) are a subtype of nonfunctioning pituitary adenomas that exhibit more aggressive behavior. However, rapid and accurate preoperative diagnostic methods are currently lacking. DESIGN The purpose of this study was to examine the differences between SCA and non-SCA features and to establish radiomics models and a clinical scale for rapid and accurate prediction. METHODS A total of 260 patients (72 SCAs vs. 188 NSCAs) with nonfunctioning adenomas from Peking Union Medical College Hospital were enrolled in the study as the internal dataset. Thirty-five patients (6 SCAs vs. 29 NSCAs) from Fuzhou General Hospital were enrolled as the external dataset. Radiomics models and an SCA scale to preoperatively diagnose SCAs were established based on MR images and clinical features. RESULTS There were more female patients (internal dataset: p < 0.001; external dataset: p = 0.028) and more multiple microcystic changes (internal dataset: p < 0.001; external dataset: p = 0.012) in the SCA group. MRI showed more invasiveness (higher Knosp grades, p ≤ 0.001). The radiomics model achieved AUCs of 0.931 and 0.937 in the internal and external datasets, respectively. The clinical scale achieved an AUC of 0.877 and a sensitivity of 0.952 in the internal dataset and an AUC of 0.899 and a sensitivity of 1.0 in the external dataset. CONCLUSIONS Based on clinical information and imaging characteristics, the constructed radiomics model achieved high preoperative diagnostic ability. The SCA scale achieved the purpose of rapidity and practicality while ensuring sensitivity, which is conducive to simplifying clinical work.
Collapse
|
195
|
Kou M, Wu F, Qu XY, Wang H, Guo XT, Yang YY, Zhao LJ. [Establishment and validation of clinical prediction model for steroid-resistant nephrotic syndrome in children]. ZHONGHUA ER KE ZA ZHI = CHINESE JOURNAL OF PEDIATRICS 2023; 61:333-338. [PMID: 37011979 DOI: 10.3760/cma.j.cn112140-20220924-00837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
Abstract
Objective: To identify the clinically relevant factors of steroid-resistant nephrotic syndrome (SSNS) in children and establish a predictive model followed by verifying its feasibility. Methods: A retrospective analysis was performed in a total of 111 children with nephrotic syndrome admitted to Children's Hospital of ShanXi from January 2016 to December 2021. The clinical data of general conditions, manifestations, laboratory tests, treatment, and prognosis were collected. According to the steroid response, patients were divided into SSNS and steroid resistant nephrotic syndrome (SRNS) group. Single factor Logistic regression analysis was used for comparison between the 2 groups, and variables with statistically significant differences were included in multivariate Logistic regression analysis. The multivariate Logistic regression analysis was used to identify the related variables of children with SRNS. The area under the receiver operating characteristic curve (ROC), the calibration curve and the clinical decision curve were used to evaluate its effectiveness of the variables. Results: Totally 111 children with nephrotic syndrome was composed of 66 boys and 45 girls, aged 3.2 (2.0, 6.6) years. There were 65 patients in the SSNS group and 46 in the SRNS group.Univariate Logistic regression analysis showed that the 6 variables, including erythrocyte sedimentation rate, 25-hydroxyvitamin D, suppressor T cells, D-dimer, fibrin degradation products, β2-microglobulin, had statistically significant differences between SSNS and SRNS groups (85 (52, 104) vs. 105 (85, 120) mm/1 h, 18 (12, 39) vs. 16 (12, 25) nmol/L, 0.23 (0.19, 0.27) vs. 0.25 (0.20, 0.31), 0.7 (0.6, 1.1) vs. 1.1 (0.9, 1.7) g/L, 3.1 (2.3, 4.1) vs. 3.3 (2.7, 5.8) g/L, 2.3 (1.9,2.8) vs. 3.0 (2.5, 3.7) g/L, χ2=3.73, -2.42, 2.24, 3.38, 2.24,3.93,all P<0.05), were included in the multivariate Logistic regression analysis. Finally, we found that 4 variables including erythrocyte sedimentation rate, suppressor T cells, D-dimer and β2-microglobulin (OR=1.02, 1.12, 25.61, 3.38, 95%CI 1.00-1.04, 1.03-1.22, 1.92-341.04, 1.65-6.94, all P<0.05) had significant correlation with SRNS. The optimal prediction model was selected. The ROC curve cut-off=0.38, with the sensitivity of 0.83, the specificity of 0.77 and area under curve of 0.87. The calibration curve showed that the predicted probability of SRNS group occurrence was in good agreement with the actual occurrence probability, χ2=9.12, P=0.426. The clinical decision curve showed good clinical applicability. The net benefit is up to 0.2. Make the nomogram. Conclusions: The prediction model based on the 4 identified risk factors including erythrocyte sedimentation rate, suppressor T cells, D-dimer and β2-microglobulin was suitable for the early diagnosis and prediction of SRNS in children. The prediction effect was promising in clinical application.
Collapse
|
196
|
Hu J, Tang X, Guo R, Wang Y, Shen H, Wang H, Yao Y, Cai X, Yu Z, Dong G, Liang F, Cao J, Zeng L, Su M, Kong W, Liu L, Huang W, Cai C, Xie Y, Mao W. 37P Pralsetinib in acquired RET fusion-positive advanced non-small cell lung cancer patients after resistance to EGFR/ALK-TKI: A China multi-center, real-world data (RWD) analysis. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00291-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
|
197
|
Gazzah A, Lee J, Wang E, Ternès N, Wang H, Boitier E, Lartigau A, Chadjaa M, Dib C, Muzard G, Valence S, Remaury A, Palu C, Bauchet AL. 71P Biomarker analysis from phase I/II study of tusamitamab ravtansine (SAR408701) in patients with advanced non-small cell lung cancer (NSCLC). J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00325-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2023]
|
198
|
Ling X, Zhong R, Cao S, Zhang L, Xu J, Zhang B, Zhang X, Wang H, Han B, Zhong H. 45P DCVAC/LuCa with chemotherapy in patients with stage IV, non-squamous NSCLC without EGFR/ALK aberrations: Five-year survival update. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00299-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
|
199
|
Du QJ, Li Q, Zhou RH, Wang H, Yan Q, Dang WJ, Guo JJ. Author Correction: An investigation into the mechanism of nobiletin's inhibition of papillary thyroid cancer using network pharmacology analysis and experimental pharmacology. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2023; 27:2715. [PMID: 37070868 DOI: 10.26355/eurrev_202304_31896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 04/19/2023]
Abstract
Correction to: European Review for Medical and Pharmacological Sciences 2023; 27 (4): 1553-1564. DOI: 10.26355/eurrev_202302_31398-PMID: 36876711-published online on February 15, 2023. After publication, the authors applied some corrections to the galley proof: - The order of Table I and II has been inverted. - The scale bar of Figure 9A has been inserted in the Legend. There are amendments to this paper. The Publisher apologizes for any inconvenience this may cause. https://www.europeanreview.org/article/31398.
Collapse
|
200
|
Gu Y, Xu W, Liu Y, An X, Li J, Cong L, Zhu L, He X, Wang H, Jiang Y. The feasibility of a novel computer-aided classification system for the characterisation and diagnosis of breast masses on ultrasound: a single-centre preliminary test study. Clin Radiol 2023:S0009-9260(23)00130-7. [PMID: 37069025 DOI: 10.1016/j.crad.2023.03.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 03/07/2023] [Accepted: 03/15/2023] [Indexed: 04/19/2023]
Abstract
AIM To introduce a novel computer-aided classification (CAC) system and investigate the feasibility of characterising and diagnosing breast masses on ultrasound (US). MATERIALS AND METHODS A total of 246 breast masses were included. US features and the final assessment categories of the breast masses were analysed by a radiologist and the CAC system according to the Breast Imaging Reporting and Data System (BI-RADS) lexicon. The CAC system evaluated the BI-RADS assessment from the fusion of multi-view and colour Doppler US images without (SmartBreast) or with combining clinical variables (m-CAC system). The diagnostic performance and agreement of US characteristics between the radiologist and the CAC system were compared. RESULTS The agreement between the radiologist and the CAC system was substantial for mass shape (κ = 0.673), orientation (κ = 0.682), margin (κ = 0.622), posterior features (κ = 0.629), calcifications in a mass (κ = 0.709) and vascularity (κ = 0.745), fair for echo pattern (κ = 0.379), and moderate for BI-RADS assessment (κ = 0.575). With BI-RADS 4a as the cut-off value, the specificity (52.5% versus 25%, p<0.0001) and accuracy (73.98% versus 62.6%, p=0.0002) of the m-CAC system were improved without significant loss of sensitivity (94.44% versus 98.41%, p=0.1250) compared with the SmartBreast. The m-CAC system showed similar specificity (52.5% versus 45.83%, p=0.2430) and accuracy (73.98% versus 73.58%, p=1.0000) as the radiologist, but a lower sensitivity (94.44% versus 100%, p=0.0156). CONCLUSION The CAC system showed an acceptable agreement with the radiologist for characterisation of breast lesions. It has the potential to mimic the decision-making behaviour of radiologists for the classification of breast lesions.
Collapse
|