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Wang C, Fang Y, Shen F, Yang XK. [Impact of gonadotropin-releasing hormone agonist on pregnancy outcomes in frozen-thawed embryo transfer cycles for patients with recurrent implantation failure combined with chronic endometritis]. ZHONGHUA YI XUE ZA ZHI 2025; 105:72-77. [PMID: 39757111 DOI: 10.3760/cma.j.cn112137-20240805-01795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/07/2025]
Abstract
Objective: To explore the impact of gonadotropin-releasing hormone agonist (GnRH-a) on the pregnancy outcomes in frozen-thawed embryo transfer cycles for patients with recurrent implantation failure (RIF) complicated by chronic endometriti (CE). Methods: A total of 138 patients with RIF combined with CE who underwent in vitro fertilization/intracytoplamic sperm injection treatment-embryo transfer in the Department of Reproductive Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University from January 2020 to December 2023 were retrospectively included. According to the endometrial preparation protocol, they were divided into two groups: the pituitary downregulation group (n=59) and the artificial cycle group (n=79). The baseline data and pregnancy outcomes of the two groups were compared. Multivariate binary logistic regression analysis was conducted to assess the influencing factors of clinical pregnancy in patients with RIF complicated by CE. Results: The age of the artificial cycle group [M(Q1, Q3)] was 33(31, 37) years; the age of pituitary downregulation was 33(30, 36) years. No statistically significant differences were found in the baseline data of the patients, such as age, the type of infertility, duration of infertility, body mass index (BMI), anti-Müllerian hormone (AMH), and baseline endocrine parameters(all P>0.05). For patients with RIF combined with CE, compared to the artificial cycle group, the pituitary downregulation group had a higher number of previous failed attempts [M(Q1, Q3), 3(3, 4) vs 4(3, 4) ], and a higher clinical pregnancy rate[42.37% (25/59) vs 24.05% (19/79)](P<0.05). GnRH-a pretreatment in a pituitary downregulation cycle is a factor influencing clinical pregnancy in patients with RIF combined with CE (OR=2.229, 95%CI: 1.015-4.896, P<0.05). Conclusion: GnRH-a is effective in improving the clinical pregnancy rate of patients with RIF combined with CE.
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Yang Z, Wang H, Xiao J, Yang Q, Sun J, Liu H, Ma L, Huang X, Wang C, Wang X, Cao Z. KDM6B-Mediated HADHA Demethylation/Lactylation Regulates Cementogenesis. J Dent Res 2025; 104:75-85. [PMID: 39569625 DOI: 10.1177/00220345241286460] [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] [Indexed: 11/22/2024] Open
Abstract
Cementum, a bone-like tissue, is an essential component of periodontium, and periodontitis can lead to degenerative changes in the cementum, eventually resulting in tooth loss. The therapeutic strategy for advanced periodontitis is to achieve periodontal regeneration, of which cementum regeneration is a key criterion. Cementoblasts are responsible for cementogenesis, and their mineralization counts in cementum regeneration. However, research is still limited. Thus, novel treatment targets are required. The expression levels of lysine (K)-specific demethylase 6B (KDM6B), fatty acid oxidation (FAO), and cementogenic markers were detected by quantitative polymerase chain reaction, Western blot, immunofluorescence, and immunohistochemical assays. FAO levels were analyzed by assay kit. In vivo, injection of GSK-J4 into mice detected the influence of KDM6B on cementum formation. Chromatin immunoprecipitation sequencing, transcriptomic RNA sequencing, subsequent chromatin immunoprecipitation-quantitative polymerase chain reaction and overexpression of HADHA (hydroxyacyl-coA dehydrogenase trifunctional multienzyme complex subunit alpha) elucidated the KDM6B-Hadha axis. Global lactylation was detected by Western blot. Lactylation proteomics clarified the modified sites of HADHA. Mutating these sites and applying coimmunoprecipitation confirmed their significance. Knockdown of Kdm6b was utilized to assess its regulation on the lactylation of HADHA, FAO, and mineralization levels. FAO and KDM6B expression was elevated during cementoblast mineralization. KDM6B targeted Hadha and activated its transcription, thereby increasing FAO levels and promoting mineralization. Lactylation occurred in the process of mineralization, and KDM6B could regulate the lactylation of HADHA to promote FAO and mineralization. Overexpression of Hadha and the addition of lactate sodium could rescue the inhibition of mineralization by knockdown of Kdm6b. In summary, during cementoblast mineralization, KDM6B regulates HADHA by mediating histone demethylation and lactylation, thereby upregulating FAO and thus promoting mineralization.
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An LY, Zhang H, Xiong M, Luo CG, Xu B, Li K, Wang C, Xu YZ, Tian Y, Luo GH, Ban Y. [Application of robot-assisted laparoscopic isthmectomy for the treatment of symptomatic horseshoe kidney]. ZHONGHUA YI XUE ZA ZHI 2024; 104:4427-4430. [PMID: 39690540 DOI: 10.3760/cma.j.cn112137-20240924-02174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/19/2024]
Abstract
The current study aimed to investigate the feasibility and safety of robot-assisted laparoscopic resection of the isthmus in patients with symptomatic horseshoe kidney. A retrospective analysis of clinical data from four patients with symptomatic horseshoe kidney treated between January 1, 2021 and December 31, 2023 at Guizhou Provincial People's Hospital was conducted. The main surgical procedures included robot-assisted laparoscopic resection of the isthmus, kidney fixation, pyeloplasty, and pyelolithotomy. All four patients underwent successful surgery. One patient had concomitant calculi. The mean operative time was 179.8 minutes, with an average blood loss of 49.5 ml. In patients followed up for 3 months, 6 months, 1 year, and 2 years postoperatively, renal anatomy remained normal, significant improvement in hydronephrosis was observed compared to preoperative status, serum creatinine levels returned (maintained) to normal status, and no surgery-related complications occurred during the perioperative period. This study reports the safety and feasibility of robot-assisted laparoscopic resection of the isthmus in patients with symptomatic horseshoe kidney. This surgical approach effectively restores the abnormal anatomical structure of the horseshoe kidney, reestablishes the natural course of the ureter, and prevents compression of the ureter by the isthmus of the horseshoe kidney.
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Lu LH, Chen YQ, Li J, Shao SS, Ma FH, Ning Y, Shi Y, Wang C. [Clinicopathological features and prognostic analysis of synchronous mucinous metaplasia and neoplasia of the female genital tract]. ZHONGHUA ZHONG LIU ZA ZHI [CHINESE JOURNAL OF ONCOLOGY] 2024; 46:1195-1208. [PMID: 39077828 DOI: 10.3760/cma.j.cn112152-20240518-00201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/31/2024]
Abstract
Objective: Synchronous mucinous metaplasia and neoplasia of the female genital tract (SMMN-FGT) occurring at multiple sites during the same period of time is extremely rare, and the aim of this study was to investigate the clinicopathologic features of SMMN-FGT and its relationship with prognosis. Methods: We retrospectively analyzed the clinicopathological features and follow-up records of 25 cases of SMMN-FGT diagnosed from January 2012 to October 2022 in the case database of Obstetrics and Gynecology Hospital of Fudan University. Results: The median age at onset was 46 years old, respectively. Clinical manifestations included irregular vaginal bleeding or drainage, pelvic pain, and ovarian cysts, etc. Germline genetic test confirmed Peutz-Jeghers syndrome (P-J syndrome) in two patients. All patients underwent surgery, and 13 patients had postoperative adjuvant radiotherapy and/or chemotherapy. The most frequent site of lesion was the cervix (21 cases), with 11, 10 and 16 cases occurring in the endometrium, fallopian tubes and ovaries, respectively. Six cases involved three sites simultaneously, and only one case had all four sites involved at the same time. Among the 9 cases with P53 mutation phenotype, 6 cases had gastric-type mucinous adenocarcinoma, 2 cases had lobular endocervical glandular hyperplasia, and 1 case had mucinous adenocarcinoma, whereas all the minimally deviated adenocarcinomas had wild phenotype of P53. The median follow-up time was 59 months, during which 3 cases died and 6 cases developed local recurrence or distant metastasis. According to our analysis, postoperative recurrence or metastasis was correlated with the FIGO stage of the disease, the number of lesion sites and the severe degree of the uterine lesions (P<0.05). Conclusions: SMMN-FGT has a relatively good clinical prognosis, and even advanced patients can benefit from surgery and adjuvant therapy. In young patients, the ovaries may be preserved if no evidence of lesions are seen after adequate evaluation. In SMMN-FGT, gastric-type mucinous adenocarcinoma occurring in the cervix may have a better prognosis than gastric-type mucinous adenocarcinoma of the cervix alone, so the accurate diagnosis of SMMN-FGT is critical for clinical management.
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Chen SQ, Chen X, Chen X, Lin Y, Wang C. [Adult T-cell lymphoma/leukemia: report of a case]. ZHONGHUA BING LI XUE ZA ZHI = CHINESE JOURNAL OF PATHOLOGY 2024; 53:1275-1277. [PMID: 39648017 DOI: 10.3760/cma.j.cn112151-20240710-00449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/10/2024]
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Song ZX, Zhao XY, Sun XJ, Wang C, Liu HJ, Liu Y, Liu CR. [Atypical polypoid adenomyoma evolves into endometrial endometrioid carcinoma with retro-differentiation of yolk sac tumor: report of a case]. ZHONGHUA BING LI XUE ZA ZHI = CHINESE JOURNAL OF PATHOLOGY 2024; 53:1264-1267. [PMID: 39648014 DOI: 10.3760/cma.j.cn112151-20240301-00143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/10/2024]
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Wen SX, Wen KX, Zhang YH, Zhang L, Wang R, Wang C. [Management recommendations of metastatic cervical carcinoma from an unknown primary]. ZHONGHUA ER BI YAN HOU TOU JING WAI KE ZA ZHI = CHINESE JOURNAL OF OTORHINOLARYNGOLOGY HEAD AND NECK SURGERY 2024; 59:1389-1392. [PMID: 39734297 DOI: 10.3760/cma.j.cn115330-20240721-00434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/31/2024]
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Hayrapetyan A, Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, Damanakis K, Dragicevic M, Hussain PS, Jeitler M, Krammer N, Li A, Liko D, Mikulec I, Schieck J, Schöfbeck R, Schwarz D, Sonawane M, Templ S, Waltenberger W, Wulz CE, Darwish MR, Janssen T, Laer TV, Mechelen PV, Breugelmans N, D’Hondt J, Dansana S, De Moor A, Delcourt M, Heyen F, Lowette S, Makarenko I, Müller D, Tavernier S, Tytgat M, Onsem GPV, Van Putte S, Vannerom D, Bilin B, Clerbaux B, Das AK, De Lentdecker G, Evard H, Favart L, Gianneios P, Jaramillo J, Khalilzadeh A, Khan FA, Lee K, Mahdavikhorrami M, Malara A, Paredes S, Shahzad MA, Thomas L, Bemden MV, Velde CV, Vanlaer P, De Coen M, Dobur D, Gokbulut G, Hong Y, Knolle J, Lambrecht L, Marckx D, Amarilo KM, Samalan A, Skovpen K, Bossche NVD, Linden JVD, Wezenbeek L, Benecke A, Bethani A, Bruno G, Caputo C, De Favereau De Jeneret J, Delaere C, Donertas IS, Giammanco A, Guzel AO, Jain S, Lemaitre V, Lidrych J, Mastrapasqua P, Tran TT, Wertz S, Alves GA, Pereira MAG, Coelho E, Silva GC, Hensel C, De Oliveira TM, Herrera CM, Moraes A, Teles PR, Soeiro M, Pereira AV, Júnior WLA, Filho MBF, Malbouisson HB, Carvalho W, Chinellato J, Da Costa EM, Da Silveira GG, De Jesus Damiao D, De Souza SF, De Souza RG, Macedo M, Martins J, Mundim L, Nogima H, Pinheiro JP, Santoro A, Sznajder A, Thiel M, Bernardes CA, Calligaris L, Tomei TRFP, Gregores EM, Da Costa BL, Silverio IM, Mercadante PG, Novaes SF, Orzari B, Padula SS, Aleksandrov A, Antchev G, Hadjiiska R, Iaydjiev P, Misheva M, Shopova M, Sultanov G, Dimitrov A, Litov L, Pavlov B, Petkov P, Petrov A, Shumka E, Keshri S, Thakur S, Cheng T, Javaid T, Yuan L, Hu Z, Liang Z, Liu J, Yi K, Chen GM, Chen HS, Chen M, Iemmi F, Jiang CH, Kapoor A, Liao H, Liu ZA, Sharma R, Song JN, Tao J, Wang C, Wang J, Wang Z, Zhang H, Zhao J, Agapitos A, Ban Y, Deng S, Guo B, Jiang C, Levin A, Li C, Li Q, Mao Y, Qian S, Qian SJ, Qin X, Sun X, Wang D, Yang H, Zhang L, Zhao Y, Zhou C, Yang S, You Z, Jaffel K, Lu N, Bauer G, Li B, Zhang J, Gao X, Lin Z, Lu C, Xiao M, Avila C, Trujillo DAB, Cabrera A, Florez C, Fraga J, Vega JAR, Ramirez F, Rendón C, Rodriguez M, Barbosa AAR, Alvarez JDR, Giljanovic D, Godinovic N, Lelas D, Sculac A, Kovac M, Petkovic A, Sculac T, Bargassa P, Brigljevic V, Chitroda BK, Ferencek D, Jakovcic K, Mishra S, Starodumov A, Susa T, Attikis A, Christoforou K, Hadjiagapiou A, Leonidou C, Mousa J, Nicolaou C, Paizanos L, Ptochos F, Razis PA, Rykaczewski H, Saka H, Stepennov A, Finger M, Finger M, Kveton A, Jarrin EC, Assran Y, El-mahdy B, Elgammal S, Lotfy A, Mahmoud MA, Ehataht K, Kadastik M, Lange T, Nandan S, Nielsen C, Pata J, Raidal M, Tani L, Veelken C, Kirschenmann H, Osterberg K, Voutilainen M, Bharthuar S, Norjoharuddeen NB, Brücken E, Garcia F, Inkaew P, Kallonen KTS, Lampén T, Lassila-Perini K, Lehti S, Lindén T, Martikainen L, Myllymäki M, Rantanen MM, Siikonen H, Tuominiemi J, Luukka P, Petrow H, Besancon M, Couderc F, Dejardin M, Denegri D, Faure JL, Ferri F, Ganjour S, Gras P, de Monchenault GH, Kumar M, Lohezic V, Malcles J, Orlandi F, Portales L, Rosowsky A, Sahin MÖ, Savoy-Navarro A, Simkina P, Titov M, Tornago M, Beaudette F, Boldrini G, Busson P, Cappati A, Charlot C, Chiusi M, Damas F, Davignon O, De Wit A, Ehle IT, Alves BAFS, Ghosh S, Gilbert A, de Cassagnac RG, Hakimi A, Harikrishnan B, Kalipoliti L, Liu G, Nguyen M, Ochando C, Salerno R, Sauvan JB, Sirois Y, Gómez LU, Vernazza E, Zabi A, Zghiche A, Agram JL, Andrea J, Apparu D, Bloch D, Brom JM, Chabert EC, Collard C, Falke S, Goerlach U, Haeberle R, Bihan ACL, Meena M, Poncet O, Saha G, Sessini MA, Hove PV, Vaucelle P, Florio AD, Amram D, Beauceron S, Blancon B, Boudoul G, Chanon N, Contardo D, Depasse P, Dozen C, Mamouni HE, Fay J, Gascon S, Gouzevitch M, Greenberg C, Grenier G, Ille B, Jourd‘huy E, Laktineh IB, Lethuillier M, Mirabito L, Perries S, Purohit A, Donckt MV, Verdier P, Xiao J, Lomidze I, Toriashvili T, Tsamalaidze Z, Botta V, Rodríguez SC, Feld L, Klein K, Lipinski M, Meuser D, Pauls A, Adán DP, Röwert N, Teroerde M, Diekmann S, Dodonova A, Eich N, Eliseev D, Engelke F, Erdmann J, Erdmann M, Fackeldey P, Fischer B, Hebbeker T, Hoepfner K, Ivone F, Jung A, Lee M, Mausolf F, Merschmeyer M, Meyer A, Mukherjee S, Noll D, Nowotny F, Pozdnyakov A, Rath Y, Redjeb W, Rehm F, Reithler H, Sarkisovi V, Schmidt A, Sharma A, Spah JL, Stein A, Da Silva De Araujo FT, Wiedenbeck S, Zaleski S, Dziwok C, Flügge G, Kress T, Nowack A, Pooth O, Stahl A, Ziemons T, Zotz A, Petersen HA, Martin MA, Alimena J, Amoroso S, An Y, Bach J, Baxter S, Bayatmakou M, Gonzalez HB, Behnke O, Belvedere A, Blekman F, Borras K, Campbell A, Cardini A, Cheng C, Colombina F, De Silva M, Eckerlin G, Eckstein D, Banos LIE, Filatov O, Gallo E, Geiser A, Guglielmi V, Guthoff M, Hinzmann A, Jeppe L, Kaech B, Kasemann M, Kleinwort C, Kogler R, Komm M, Krücker D, Lange W, Pernia DL, Lipka K, Lohmann W, Lorkowski F, Mankel R, Melzer-Pellmann IA, Morentin MM, Meyer AB, Milella G, Figueroa KM, Mussgiller A, Nair LP, Niedziela J, Nürnberg A, Otarid Y, Park J, Ranken E, Raspereza A, Rastorguev D, Rübenach J, Rygaard L, Saggio A, Scham M, Schnake S, Schütze P, Schwanenberger C, Selivanova D, Sharko K, Shchedrolosiev M, Stafford D, Vazzoler F, Barroso AV, Walsh R, Wang D, Wang Q, Wen Y, Wichmann K, Wiens L, Wissing C, Yang Y, Santos AZC, Albrecht A, Albrecht S, Antonello M, Bein S, Benato L, Bollweg S, Bonanomi M, Connor P, Morabit KE, Fischer Y, Garutti E, Grohsjean A, Haller J, Jabusch HR, Kasieczka G, Keicher P, Klanner R, Korcari W, Kramer T, Kuo CC, Kutzner V, Labe F, Lange J, Lobanov A, Matthies C, Moureaux L, Mrowietz M, Nigamova A, Nissan Y, Paasch A, Rodriguez KJP, Quadfasel T, Raciti B, Rieger M, Savoiu D, Schindler J, Schleper P, Schröder M, Schwandt J, Sommerhalder M, Stadie H, Steinbrück G, Tews A, Wolf M, Brommer S, Burkart M, Butz E, Chwalek T, Dierlamm A, Droll A, Elicabuk U, Faltermann N, Giffels M, Gottmann A, Hartmann F, Hofsaess R, Horzela M, Husemann U, Kieseler J, Klute M, Koppenhöfer R, Lawhorn JM, Link M, Lintuluoto A, Maier B, Maier S, Mitra S, Mormile M, Müller T, Neukum M, Oh M, Pfeffer E, Presilla M, Quast G, Rabbertz K, Regnery B, Shadskiy N, Shvetsov I, Simonis HJ, Sowa L, Stockmeier L, Tauqeer K, Toms M, Trevisani N, Cube RFV, Wassmer M, Wieland S, Wittig F, Wolf R, Zuo X, Anagnostou G, Daskalakis G, Kyriakis A, Papadopoulos A, Stakia A, Kontaxakis P, Melachroinos G, Painesis Z, Papavergou I, Paraskevas I, Saoulidou N, Theofilatos K, Tziaferi E, Vellidis K, Zisopoulos I, Bakas G, Chatzistavrou T, Karapostoli G, Kousouris K, Papakrivopoulos I, Siamarkou E, Tsipolitis G, Zacharopoulou A, Adamidis K, Bestintzanos I, Evangelou I, Foudas C, Kamtsikis C, Katsoulis P, Kokkas P, Kioseoglou PGK, Manthos N, Papadopoulos I, Strologas J, Hajdu C, Horvath D, Márton K, Rádl AJ, Sikler F, Veszpremi V, Csanád M, Farkas K, Fehérkuti A, Gadallah MMA, Kadlecsik Á, Major P, Pásztor G, Veres GI, Ujvari B, Zilizi G, Bencze G, Czellar S, Molnar J, Szillasi Z, Nemes F, Novak T, Babbar J, Bansal S, Beri SB, Bhatnagar V, Chaudhary G, Chauhan S, Dhingra N, Kaur A, Kaur A, Kaur H, Kaur M, Kumar S, Sandeep K, Sheokand T, Singh JB, Singla A, Ahmed A, Bhardwaj A, Chhetri A, Choudhary BC, Kumar A, Kumar A, Naimuddin M, Ranjan K, Saini MK, Saumya S, Baradia S, Barman S, Bhattacharya S, Gupta SD, Dutta S, Dutta S, Sarkar S, Ameen MM, Behera PK, Behera SC, Chatterjee S, Dash G, Jana P, Kalbhor P, Kamble S, Komaragiri JR, Kumar D, Pujahari PR, Saha NR, Sharma A, Sikdar AK, Singh RK, Verma P, Verma S, Vijay A, Dugad S, Mohanty GB, Parida B, Shelake M, Suryadevara P, Bala A, Banerjee S, Chatterjee RM, Guchait M, Jain S, Jaiswal A, Kumar S, Majumder G, Mazumdar K, Parolia S, Thachayath A, Bahinipati S, Kar C, Maity D, Mal P, Mishra T, Bindhu VKMN, Naskar K, Nayak A, Nayak S, Pal K, Sadangi P, Swain SK, Varghese S, Vats D, Acharya S, Alpana A, Dube S, Gomber B, Hazarika P, Kansal B, Laha A, Sahu B, Sharma S, Vaish KY, Bakhshiansohi H, Jafari A, Zeinali M, Bashiri S, Chenarani S, Etesami SM, Hosseini Y, Khakzad M, Khazaie E, Najafabadi MM, Tizchang S, Felcini M, Grunewald M, Abbrescia M, Colaleo A, Creanza D, D’Anzi B, De Filippis N, De Palma M, Elmetenawee W, Fiore L, Iaselli G, Longo L, Louka 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, Silvestris L, Simone FM, Sözbilir Ü, Stamerra A, Troiano D, Venditti R, Verwilligen P, Zaza A, Abbiendi G, Battilana C, Bonacorsi D, Capiluppi P, Castro A, Cavallo FR, Cuffiani M, Dallavalle GM, Diotalevi T, Fabbri F, Fanfani A, Fasanella D, Giacomelli P, Giommi L, Grandi C, Guiducci L, Meo SL, Lorusso M, Lunerti L, Marcellini S, Masetti G, Navarria FL, Paggi G, Perrotta A, Primavera F, Rossi AM, Tisbeni SR, Rovelli T, Siroli GP, Costa S, Mattia AD, Lapertosa A, Potenza R, Tricomi A, Tuve C, Assiouras P, Barbagli G, Bardelli G, Camaiani B, Cassese A, Ceccarelli R, Ciulli V, Civinini C, D’Alessandro R, Focardi E, Kello T, Latino G, Lenzi P, Lizzo M, Meschini M, Paoletti S, Papanastassiou A, Sguazzoni G, Viliani L, Benussi L, Bianco S, Meola S, Piccolo D, Chatagnon P, Ferro F, Robutti E, Tosi S, Benaglia A, Brivio F, Cetorelli F, De Guio F, Dinardo ME, Dini P, Gennai S, Gerosa R, Ghezzi A, Govoni P, Guzzi L, Lucchini MT, Malberti M, Malvezzi S, Massironi A, Menasce D, Moroni L, Paganoni M, Palluotto S, Pedrini D, Perego A, Pinolini BS, Pizzati G, Ragazzi S, de Fatis TT, Buontempo S, Cagnotta A, Carnevali F, Cavallo N, Fabozzi F, Iorio AOM, Lista L, Paolucci P, Ardino R, Azzi P, Bacchetta N, Bellato M, Bortignon P, Bortolato G, Bragagnolo A, Bulla ACM, Carlin R, Checchia P, Dorigo T, Gasparini U, Lusiani E, Margoni M, Meneguzzo AT, Migliorini M, Pazzini J, Ronchese P, Rossin R, Sgaravatto M, Simonetto F, Tosi M, Triossi A, Ventura S, 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, Ajmal S, Ascioti ME, Bilei GM, Carrivale C, Ciangottini D, Fanò L, Magherini M, Mariani V, Menichelli M, Moscatelli F, Rossi A, Santocchia A, Spiga D, Tedeschi T, Alexe CA, Asenov P, Azzurri P, Bagliesi G, Bhattacharya R, Bianchini L, Boccali T, Bossini E, Bruschini D, Castaldi R, Ciocci MA, Cipriani M, D’Amante V, Dell’Orso R, Donato S, Giassi A, Ligabue F, Marini AC, Figueiredo DM, Messineo A, Musich M, Palla F, Rizzi A, Rolandi G, Chowdhury SR, Sarkar T, Scribano A, Spagnolo P, Tenchini R, Tonelli G, Turini N, Vaselli F, Venturi A, Verdini PG, Barrera CB, Barria P, Basile C, Campana M, Cavallari F, Mendez LC, Re DD, Marco ED, Diemoz M, Errico F, Longo E, Mijuskovic J, Organtini G, Pandolfi F, Paramatti R, Quaranta C, Rahatlou S, Rovelli C, Santanastasio F, Soffi L, Amapane N, Arcidiacono R, Argiro S, Arneodo M, Bartosik N, Bellan R, Bellora A, Biino C, Borca C, Cartiglia N, Costa M, Covarelli R, Demaria N, Finco L, Grippo M, Kiani B, Legger F, Luongo F, Mariotti C, Markovic L, Maselli S, Mecca A, Menzio L, Meridiani P, Migliore E, Monteno M, Mulargia R, Obertino MM, Ortona G, Pacher L, Pastrone N, Pelliccioni M, Ruspa M, Siviero F, Sola V, Solano A, Staiano A, Tarricone C, Trocino D, Umoret G, White R, Belforte S, Candelise V, Casarsa M, Cossutti F, De Leo K, Ricca GD, Dogra S, Hong J, Huh C, Kim B, Kim J, Lee D, Lee H, Lee SW, Moon CS, Oh YD, Ryu MS, Sekmen S, Tae B, Yang YC, Kim MS, Bak G, Gwak P, Kim H, Moon DH, Asilar E, Choi J, Kim D, Kim TJ, Merlin JA, Ryou Y, Choi S, Han S, Hong B, Lee K, Lee KS, Lee S, Yoo J, Goh J, Yang S, Kim HS, Kim Y, Lee S, Almond J, Bhyun JH, Choi J, Choi J, Jun W, Kim J, Ko S, Kwon H, Lee H, Lee J, Lee J, Oh BH, 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, Watson IJ, Ha S, Yoo HD, Choi M, Kim MR, Lee H, Lee Y, Yu I, Beyrouthy T, Gharbia Y, Dreimanis K, Gaile A, Diaz CM, Osite D, Pikurs G, Potrebko A, Seidel M, Kontos DS, Strautnieks NR, Ambrozas M, Juodagalvis A, Rinkevicius A, 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Uzunian A, Vorobyev A, Voytishin N, Yuldashev BS, Zarubin A, Zhizhin I, Zhokin A. Search for CP violation in D 0 → K S 0 K S 0 decays in proton-proton collisions at s = 13 Te V. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2024; 84:1264. [PMID: 39651650 PMCID: PMC11624237 DOI: 10.1140/epjc/s10052-024-13244-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/19/2024] [Accepted: 08/13/2024] [Indexed: 12/11/2024]
Abstract
A search is reported for charge-parity CP violation inD 0 → K S 0 K S 0 decays, using data collected in proton-proton collisions ats = 13 Te V recorded by the CMS experiment in 2018. The analysis uses a dedicated data set that corresponds to an integrated luminosity of 41.6fb - 1 , which consists of about 10 billion events containing a pair of b hadrons, nearly all of which decay to charm hadrons. The flavor of the neutral D meson is determined by the pion charge in the reconstructed decaysD ∗ + → D 0 π + andD ∗ - → D ¯ 0 π - . The CP asymmetry inD 0 → K S 0 K S 0 is measured to beA CP ( K S 0 K S 0 ) = ( 6.2 ± 3.0 ± 0.2 ± 0.8 ) % , where the three uncertainties represent the statistical uncertainty, the systematic uncertainty, and the uncertainty in the measurement of the CP asymmetry in theD 0 → K S 0 π + π - decay. This is the first CP asymmetry measurement by CMS in the charm sector as well as the first to utilize a fully hadronic final state.
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Grants
- SC
- 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
- Estonian Research Council via PRG780, PRG803, RVTT3 and TK202
- Ministry of Education and Research via TK202
- 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
- Shota Rustaveli National Science Foundation
- 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
- ICSC -National Research Centre for High Performance Computing, Big Data and Quantum Computing, funded by the NextGenerationEU program
- FAIR - Future Artificial Intelligence Research; funded by the NextGenerationEU program
- 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
- Research Council of Lithuania (LMTLT), agreement No. VS-19
- 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
- Ministry of Science and Technology
- Ministry of Higher Education, Science, Research and Innovation
- 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
- Leventis Foundation
- Alfred P. Sloan Foundation
- Alexander von Humboldt Foundation
- Science Committee, project no. 22rl-037
- 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
- Fundamental Research Funds for the Central Universities
- 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 131991, K 133046, K 138136, K 143460, K 143477, K 146913, K 146914, K 147048, 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. FSWU-2023-0073 and FSWW-2020-0008
- Russian Science Foundation Project Number 24-22-00445
- 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
- CUAASC
- National Science, Research and Innovation Fund via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation, grant B37G660013
- 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 national de physique nucléaire et de physique des particules, IN2P3, Villeurbanne
- Institut Pluridisciplinaire Hubert Curien (IPHC), Strasbourg
- 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
- 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
- San Diego Supercomputer Center (SDSC), La Jolla
- 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
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Smith Z, Cheli VT, Angeliu CG, Wang C, Denaroso GE, Tumuluri SG, Corral J, Garbarini K, Paez PM. Ferritin loss in astrocytes reduces spinal cord oxidative stress and demyelination in the experimental autoimmune encephalomyelitis (EAE) model. Glia 2024; 72:2327-2343. [PMID: 39228110 DOI: 10.1002/glia.24616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 08/12/2024] [Accepted: 08/24/2024] [Indexed: 09/05/2024]
Abstract
Demyelinating diseases such as multiple sclerosis (MS) cause myelin degradation and oligodendrocyte death, resulting in the release of toxic iron and iron-induced oxidative stress. Astrocytes have a large capacity for iron transport and storage, however the role of astrocytic iron homeostasis in demyelinating disorders is not completely understood. Here we investigate whether astrocytic iron metabolism modulates neuroinflammation, oligodendrocyte survival, and oxidative stress following demyelination. To this aim, we conditionally knock out ferritin in astrocytes and induce experimental autoimmune encephalomyelitis (EAE), an autoimmune-mediated model of demyelination. Ferritin ablation in astrocytes reduced the severity of disease in both the acute and chronic phases. The day of onset, peak disease severity, and cumulative clinical score were all significantly reduced in ferritin KO animals. This corresponded to better performance on the rotarod and increased mobility in ferritin KO mice. Furthermore, the spinal cord of ferritin KO mice display decreased numbers of reactive astrocytes, activated microglia, and infiltrating lymphocytes. Correspondingly, the size of demyelinated lesions, iron accumulation, and oxidative stress were attenuated in the CNS of ferritin KO subjects, particularly in white matter regions of the spinal cord. Thus, deleting ferritin in astrocytes reduced neuroinflammation, oxidative stress, and myelin deterioration in EAE animals. Collectively, these findings suggest that iron storage in astrocytes is a potential therapeutic target to lessen CNS inflammation and myelin loss in autoimmune demyelinating diseases.
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10
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Li Z, Kang D, Xu S, Xi G, Li L, Zheng L, Guo W, Fu F, Wang C, Ma J, Han X, Xu S, Chen J, Chen J. Collagen signature adds prognostically significant information to staging for breast cancer. ESMO Open 2024; 9:103990. [PMID: 39577107 PMCID: PMC11616558 DOI: 10.1016/j.esmoop.2024.103990] [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: 07/19/2024] [Revised: 10/17/2024] [Accepted: 10/21/2024] [Indexed: 11/24/2024] Open
Abstract
BACKGROUND Tumor-associated collagen signature (TACS) is an independent prognostic factor for breast cancer. However, it is unclear whether the complete collagen signature, including TACS, the TACS-based collagen microscopic features (TCMF1), and the TACS-based nuclear features (TCMF2), can provide additional prognostic information for the current tumor-node-metastasis (TNM) staging system. PATIENTS AND METHODS We included 941 patients with breast cancer from three cohorts: the training (n = 355), internal (n = 334), and external validation cohorts (n = 252). TACS and TCMF1 were obtained by multiphoton microscopy (MPM). TCMF2 was extracted on the hematoxylin and eosin images colocated with MPM images. They were linearly combined to establish a complete collagen signature score for reclassifying current TNM staging into stage Ⅰ (II and Ⅲ)/low risk and stage Ⅰ (II and Ⅲ)/high risk. RESULTS The low-risk collagen signatures 'downstaged' patients in stage II or Ⅲ, while the high-risk collagen signatures 'upstaged' patients with stage Ⅰ tumors. After incorporating the complete collagen signature into the current TNM staging system, the modified staging system had a higher ability to stratify patients [referent, Ⅰ-new; Ⅱ-new, hazard ratio (HR) 8.655, 6.136, and 4.699 in the training, internal validation, and external validation cohorts, respectively; Ⅲ-new, HR 14.855, 11.201, and 13.245 in the corresponding three cohorts, respectively] than the current TNM staging system (referent, Ⅰ; Ⅱ, HR 1.642, 1.853, and 1.371 in the corresponding three cohorts, respectively; Ⅲ, HR 4.131, 4.283, and 3.711 in the corresponding three cohorts, respectively). Furthermore, the modified staging system showed a higher area under the curve than the current TNM staging system (training cohort: 0.843 versus 0.683; internal validation cohort: 0.792 versus 0.661; and external validation cohort: 0.793 versus 0.646). CONCLUSIONS The complete collagen signature is an independent predictor of survival outcomes in breast cancer. It adds significant information about the biological behavior of the disease to staging for breast cancer.
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11
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Ambe PC, Martin-Martin GP, Vasas N, Piponski I, Roman IH, Hernandez JDP, Ma H, Lin H, Weyand G, Mazlan L, García Flórez LJ, Wolff K, Dessily M, Wang C, Dobricanin V, Yang W, Bruketa T, Zeng X, Avdicausevic S, Zhang Z, Wais S, Kalaskar S, Cui Z, Pestonit IB, Cao Y, Suárez Sánchez A, Ren D, Vargas Castillo E, Zheng D, Bogdanic B, Wölk A, Yao Y, Issaad S, Nasser T, Guo X, Nagar MM, Merkle M, Ruiz-Lopez M, Zhang Y, Blumberg C, Alam AA, Acosta AC, Schouten R, Istok P, Demtröder C, Wang Z, Dong Q, Wu J. Best clinical practice recommendations for the management of symptomatic hemorrhoids via laser hemorrhoidoplasty: the LHP recommendations. Tech Coloproctol 2024; 29:2. [PMID: 39579281 PMCID: PMC11585511 DOI: 10.1007/s10151-024-03022-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Accepted: 09/21/2024] [Indexed: 11/25/2024]
Abstract
BACKGROUND Laser hemorrhoidoplasty (LHP) has emerged as a novel, minimally invasive technique for managing symptomatic hemorrhoids, gaining popularity among clinicians. Despite its increasing adoption, significant variations exist in the application of LHP across different practices. PURPOSE The aim of these recommendations was to spell out some basic principles and recommendations for performing a standard LHP procedure. METHODS The Recommendation Development Group (RDG) consisting of surgeons with experience in LHP were invited to formulate recommendations for the procedure. The recommendations were generated following systematic literature research and discussion amongst experts (expert opinion) where no substantial literature was available. The developed recommendations were voted upon by a panelist via the Delphi process. Consensus was a priori defined as agreement of 75% and above, with strong consensus defined as 85% and above. RESULTS The RDG developed 21 recommendations that were voted upon by 49 panelists. Consensus was reached for all 21 recommendations after the first Delphi round, including 16 recommendations with strong consensus. CONCLUSION The RDP offers a comprehensive suite of guidelines to enhance the safety and efficacy of standard LHP procedures. Out of 21 detailed recommendations, 16 reached strong consensus, collectively addressing the full spectrum of LHP procedures-from laser settings and preoperative preparations to perioperative strategies and postoperative care. This coherent framework is anticipated not only to standardize but also to refine the LHP technique across the board, thereby elevating the management of symptomatic hemorrhoidal disease.
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12
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Yang X, Hu Q, Nie L, Wang C. Energy-aware feature and classifier for behaviour recognition of laying hens in an aviary system. Animal 2024; 19:101377. [PMID: 39675173 DOI: 10.1016/j.animal.2024.101377] [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: 03/05/2024] [Revised: 11/07/2024] [Accepted: 11/14/2024] [Indexed: 12/17/2024] Open
Abstract
Long-term monitoring of animal behaviours requires energy-aware features and classifiers to support onboard classification. However, limited studies have been conducted on the behaviour recognition of laying hens, especially in aviary systems. The objective of this study was to configure key parameters for developing onboard behaviour monitoring techniques of aviary laying hens, including proper sliding window length, energy-aware feature, and lightweight classifier. A total of 19 Jingfen No.6 laying hens were reared in an aviary system from day 30 to day 70. Six light-weight accelerometers were attached to the back of birds for behaviour monitoring with a sampling frequency of 20 Hz. Laying hen behaviours were categorised into four groups, including static behaviour (resting and standing), ingestive behaviour (feeding and drinking), walking, and jumping. Two different window lengths (0.5 and 1 s) were tested. The SD of each axial acceleration was considered the only classification feature. The results indicated that performing denoise procedure before feature extraction can improve the classification accuracy by 10-20%. The 1-s window length yielded better accuracy than the 0.5-s window, especially for ingestive and walking behaviours. Classification models based on X-axis accelerations were better than those of Y- and Z-axis with the recognition accuracies of static, ingestive, walking, and jumping behaviours being 97.4, 89.6, 95.7, and 98.5%, respectively. The study might provide insights into developing onboard behaviour recognition algorithms for laying hens.
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13
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Guan Y, Guo ZX, Zhang XJ, Wang C, Li XP, Wu QD, Wang S, Chai DL. [Research on optimization technology of ventilation system in an industrial X-ray inspection workshop]. ZHONGHUA LAO DONG WEI SHENG ZHI YE BING ZA ZHI = ZHONGHUA LAODONG WEISHENG ZHIYEBING ZAZHI = CHINESE JOURNAL OF INDUSTRIAL HYGIENE AND OCCUPATIONAL DISEASES 2024; 42:862-868. [PMID: 39604243 DOI: 10.3760/cma.j.cn121094-20240124-00036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/29/2024]
Abstract
Objective: To investigate the reasonable airflow organization and exhaust system facilities during the operation of the inspection workshop, and solve the problem of the accumulation of harmful gases such as ozone and nitrogen oxides in the workshop. Methods: In May 2023, computational fluid dynamics (CFD) technology was used to numerically simulate the diffusion of ozone and nitrogen oxides generated by industrial radiographic inspection operations, and the comparative detection method was used to analyze the ozone and nitrogen oxides concentrations before and after the renovation of the ventilation system of the inspection workshop. Results: After the renovation of ventilation system, the average concentration of ozone in the inspection workshop decreased from 0.81 mg/m(3) to 0.03 mg/m(3), and the average concentration of nitrogen oxides decreased from 0.42 mg/m(3) to 0.01 mg/m(3), and the differences were statistically significant (t=20.51, 10.38, P<0.001) . Conclusion: The ventilation facilities of the inspection workshop are set up in the airflow organization mode of sending up and down the exhaust, and the ventilation pipes are scientifically designed through the calculation of ventilation hydraulic balance, which can effectively control the concentration of harmful gases in the inspection workshop.
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Xu M, Zeng X, Pan M, Chen R, Bai Y, He J, Wang C, Qi Y, Sun Q, Wang C, An N. MiR-92a-3p Promotes Renal Injury and Fibrosis Through Facilitating M1 Macrophage Polarization via Targeting LIN28A. Physiol Res 2024; 73:755-767. [PMID: 39545790 PMCID: PMC11629952 DOI: 10.33549/physiolres.935305] [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: 12/18/2023] [Accepted: 05/07/2024] [Indexed: 12/13/2024] Open
Abstract
Infiltrated and activated M1 macrophages play a role in kidney injury and fibrosis during chronic kidney disease (CKD) progression. However, the specific ways that M1 macrophage polarization contributes to renal fibrosis are not fully understood. The study seeks to investigate how miR-92a-3p regulates M1 macrophage polarization and its connection to renal fibrosis in the development of CKD. Our results revealed that miR-92a-3p overexpression increased M1-macrophage activation, iNOS, IL-6, and TNF-alpha expression in RAW264.7 upon LPS stimulation. LIN28A overexpression reversed these effects. Moreover, miR-92a-3p overexpression in RAW264.7 exacerbated NRK-52E cell apoptosis induced by LPS, but LIN28A overexpression counteracted this effect. MiR-92a-3p knockout in unilateral ureteral obstruction (UUO) C57BL/6 mice led to reduced renal infiltration and fibrosis, accompanied by decreased iNOS, alpha-SMA, IL-6, TNF-alpha, and increased LIN28A. In summary, our findings suggest that miR-92a-3p may play a role in promoting renal injury and fibrosis both in vitro and in vivo. This effect is potentially achieved by facilitating M1 macrophage polarization through the targeting of LIN28A.
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Hayrapetyan A, Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, Damanakis K, Dragicevic M, Hussain PS, Jeitler M, Krammer N, Li A, Liko D, Mikulec I, Schieck J, Schöfbeck R, Schwarz D, Sonawane M, Templ S, Waltenberger W, Wulz CE, Darwish MR, Janssen T, Van Mechelen P, Breugelmans N, D'Hondt J, Dansana S, De Moor A, Delcourt M, Heyen F, Lowette S, Makarenko I, Müller D, Tavernier S, Tytgat M, Van Onsem GP, Van Putte S, Vannerom D, Clerbaux B, Das AK, De Lentdecker G, Evard H, Favart L, Gianneios P, Hohov D, Jaramillo J, Khalilzadeh A, Khan FA, Lee K, Mahdavikhorrami M, Malara A, Paredes S, Shahzad MA, Thomas L, Vanden Bemden M, Vander Velde C, Vanlaer P, De Coen M, Dobur D, Gokbulut G, Hong Y, Knolle J, Lambrecht L, Marckx D, Mestdach G, Mota Amarilo K, Samalan A, Skovpen K, Van Den Bossche N, van der Linden J, Wezenbeek L, Benecke A, Bethani A, Bruno G, Caputo C, De Favereau De Jeneret J, Delaere C, Donertas IS, Giammanco A, Guzel AO, Jain S, Lemaitre V, Lidrych J, Mastrapasqua P, Tran TT, Wertz S, Alves GA, Alves Gallo Pereira M, Coelho E, Correia Silva G, Hensel C, Menezes De Oliveira T, Moraes A, Rebello Teles P, Soeiro M, Vilela Pereira A, Aldá Júnior WL, Barroso Ferreira Filho M, Brandao Malbouisson H, Carvalho W, Chinellato J, Da Costa EM, Da Silveira GG, De Jesus Damiao D, Fonseca De Souza S, Gomes De Souza R, Macedo M, Martins J, Mora Herrera C, Mundim L, Nogima H, Pinheiro JP, Santoro A, Sznajder A, Thiel M, Bernardes CA, Calligaris L, Fernandez Perez Tomei TR, Gregores EM, Maietto Silverio I, Mercadante PG, Novaes SF, Orzari B, Padula SS, Aleksandrov A, Antchev G, Hadjiiska R, Iaydjiev P, Misheva M, Shopova M, Sultanov G, Dimitrov A, Litov L, Pavlov B, Petkov P, Petrov A, Shumka E, Keshri S, Thakur S, Cheng T, Javaid T, Yuan L, Hu Z, Liang Z, Liu J, Yi K, Chen GM, Chen HS, Chen M, Iemmi F, Jiang CH, Kapoor A, Liao H, Liu ZA, Sharma R, Song JN, Tao J, Wang C, Wang J, Wang Z, Zhang H, Zhao J, Agapitos A, Ban Y, Deng S, Guo B, Jiang C, Levin A, Li C, Li Q, Mao Y, Qian S, Qian SJ, Qin X, Sun X, Wang D, Yang H, Zhang L, Zhao Y, Zhou C, Yang S, You Z, Jaffel K, Lu N, Bauer G, Li B, Zhang J, Gao X, Lin Z, Lu C, Xiao M, Avila C, Barbosa Trujillo DA, Cabrera A, Florez C, Fraga J, Reyes Vega JA, Ramirez F, Rendón C, Rodriguez M, Ruales Barbosa AA, Ruiz Alvarez JD, Giljanovic D, Godinovic N, Lelas D, Sculac A, Kovac M, Petkovic A, Sculac T, Bargassa P, Brigljevic V, Chitroda BK, Ferencek D, Jakovcic K, Mishra S, Starodumov A, Susa T, Attikis A, Christoforou K, Hadjiagapiou A, Leonidou C, Mousa J, Nicolaou C, Paizanos L, Ptochos F, Razis PA, Rykaczewski H, Saka H, Stepennov A, Finger M, Finger M, Kveton A, Carrera Jarrin E, Assran Y, El-Mahdy B, Elgammal S, Mahmoud MA, Mohammed Y, Ehataht K, Kadastik M, Lange T, Nandan S, Nielsen C, Pata J, Raidal M, Tani L, Veelken C, Kirschenmann H, Osterberg K, Voutilainen M, Bharthuar S, Bin Norjoharuddeen N, Brücken E, Garcia F, Inkaew P, Kallonen KTS, Lampén T, Lassila-Perini K, Lehti S, Lindén T, Martikainen L, Myllymäki M, Rantanen MM, Siikonen H, Tuominiemi J, Luukka P, Petrow H, Besancon M, Couderc F, Dejardin M, Denegri D, Faure JL, Ferri F, Ganjour S, Gras P, Hamel de Monchenault G, Lohezic V, Malcles J, Orlandi F, Portales L, Rosowsky A, Sahin MÖ, Savoy-Navarro A, Simkina P, Titov M, Tornago M, Beaudette F, Busson P, Cappati A, Charlot C, Chiusi M, Damas F, Davignon O, De Wit A, Ehle IT, Fontana Santos Alves BA, Ghosh S, Gilbert A, Granier de Cassagnac R, Hakimi A, Harikrishnan B, Kalipoliti L, Liu G, Nguyen M, Ochando C, Salerno R, Sauvan JB, Sirois Y, Urda Gómez L, Vernazza E, Zabi A, Zghiche A, Agram JL, Andrea J, Apparu D, Bloch D, Brom JM, Chabert EC, Collard C, Falke S, Goerlach U, Haeberle R, Le Bihan AC, Meena M, Poncet O, Saha G, Sessini MA, Van Hove P, Vaucelle P, Di Florio A, Amram D, Beauceron S, Blancon B, Boudoul G, Chanon N, Contardo D, Depasse P, Dozen C, El Mamouni H, Fay J, Gascon S, Gouzevitch M, Greenberg C, Grenier G, Ille B, Jourd'huy E, Laktineh IB, Lethuillier M, Mirabito L, Perries S, Purohit A, Vander Donckt M, Verdier P, Xiao J, Adamov G, Lomidze I, Tsamalaidze Z, Botta V, Feld L, Klein K, Lipinski M, Meuser D, Pauls A, Pérez Adán D, Röwert N, Teroerde M, Diekmann S, Dodonova A, Eich N, Eliseev D, Engelke F, Erdmann J, Erdmann M, Fackeldey P, Fischer B, Hebbeker T, Hoepfner K, Ivone F, Jung A, Lee MY, Mausolf F, Merschmeyer M, Meyer A, Mukherjee S, Noll D, Nowotny F, Pozdnyakov A, Rath Y, Redjeb W, Rehm F, Reithler H, Sarkisovi V, Schmidt A, Sharma A, Spah JL, Stein A, Torres Da Silva De Araujo F, Wiedenbeck S, Zaleski S, Dziwok C, Flügge G, Kress T, Nowack A, Pooth O, Stahl A, Ziemons T, Zotz A, Aarup Petersen H, Aldaya Martin M, Alimena J, Amoroso S, An Y, Bach J, Baxter S, Bayatmakou M, Becerril Gonzalez H, Behnke O, Belvedere A, Bhattacharya S, Blekman F, Borras K, Campbell A, Cardini A, Cheng C, Colombina F, Consuegra Rodríguez S, De Silva M, Eckerlin G, Eckstein D, Estevez Banos LI, Filatov O, Gallo E, Geiser A, Guglielmi V, Guthoff M, Hinzmann A, Jeppe L, Kaech B, Kasemann M, Kleinwort C, Kogler R, Komm M, Krücker D, Lange W, Leyva Pernia D, Lipka K, Lohmann W, Lorkowski F, Mankel R, Melzer-Pellmann IA, Mendizabal Morentin M, Meyer AB, Milella G, Moral Figueroa K, Mussgiller A, Nair LP, Niedziela J, Nürnberg A, Otarid Y, Park J, Ranken E, Raspereza A, Rastorguev D, Rübenach J, Rygaard L, Saggio A, Scham M, Schnake S, Schütze P, Schwanenberger C, Selivanova D, Sharko K, Shchedrolosiev M, Stafford D, Vazzoler F, Ventura Barroso A, Walsh R, Wang D, Wang Q, Wen Y, Wichmann K, Wiens L, Wissing C, Yang Y, Zimermmane Castro Santos A, Albrecht A, Albrecht S, Antonello M, Bein S, Benato L, Bollweg S, Bonanomi M, Connor P, El Morabit K, Fischer Y, Garutti E, Grohsjean A, Haller J, Jabusch HR, Kasieczka G, Keicher P, Klanner R, Korcari W, Kramer T, Kuo CC, Kutzner V, Labe F, Lange J, Lobanov A, Matthies C, Moureaux L, Mrowietz M, Nigamova A, Nissan Y, Paasch A, Pena Rodriguez KJ, Quadfasel T, Raciti B, Rieger M, Savoiu D, Schindler J, Schleper P, Schröder M, Schwandt J, Sommerhalder M, Stadie H, Steinbrück G, Tews A, Wolf M, Brommer S, Burkart M, Butz E, Chwalek T, Dierlamm A, Droll A, Faltermann N, Giffels M, Gottmann A, Hartmann F, Hofsaess R, Horzela M, Husemann U, Kieseler J, Klute M, Koppenhöfer R, Lawhorn JM, Link M, Lintuluoto A, Maier B, Maier S, Mitra S, Mormile M, Müller T, Neukum M, Oh M, Pfeffer E, Presilla M, Quast G, Rabbertz K, Regnery B, Shadskiy N, Shvetsov I, Simonis HJ, Sowa L, Stockmeier L, Tauqeer K, Toms M, Trevisani N, Von Cube RF, Wassmer M, Wieland S, Wittig F, Wolf R, Zuo X, Anagnostou G, Daskalakis G, Kyriakis A, Papadopoulos A, Stakia A, Kontaxakis P, Melachroinos G, Painesis Z, Papavergou I, Paraskevas I, Saoulidou N, Theofilatos K, Tziaferi E, Vellidis K, Zisopoulos I, Bakas G, Chatzistavrou T, Karapostoli G, Kousouris K, Papakrivopoulos I, Siamarkou E, Tsipolitis G, Zacharopoulou A, Adamidis K, Bestintzanos I, Evangelou I, Foudas C, Kamtsikis 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PE, Aravind A, 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, Loveless R, Madhusudanan Sreekala J, Mallampalli A, Mohammadi A, Mondal S, Parida G, Pétré L, Pinna D, Savin A, Shang V, Sharma V, Smith WH, Teague D, Tsoi HF, Vetens W, Warden A, Afanasiev S, Alexakhin V, Andreev V, Andreev Y, Aushev T, Azarkin M, Babaev A, Blinov V, Boos E, Borshch V, Budkouski D, Bunichev V, Chekhovsky V, Chistov R, Danilov M, Dermenev A, Dimova T, Druzhkin D, Dubinin M, Dudko L, Ershov A, Gavrilov G, Gavrilov V, Gninenko S, Golovtcov V, Golubev N, Golutvin I, Gorbunov I, Gribushin A, Ivanov Y, Kachanov V, Karjavine V, Karneyeu A, Kim V, Kirakosyan M, Kirpichnikov D, Kirsanov M, Klyukhin V, Kodolova O, Konstantinov D, Korenkov V, Kozyrev A, Krasnikov N, Lanev A, Levchenko P, Lychkovskaya N, Makarenko V, Malakhov A, Matveev V, Murzin V, Nikitenko A, Obraztsov S, Oreshkin V, Palichik V, Perelygin V, Petrushanko S, Polikarpov S, Popov V, Radchenko O, Savina M, Savrin V, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Slabospitskii S, Smirnov V, Snigirev A, Sosnov D, Sulimov V, Tcherniaev E, Terkulov A, Teryaev O, Tlisova I, Toropin A, Uvarov L, Uzunian A, Vorobyev A, Voytishin N, Yuldashev BS, Zarubin A, Zhizhin I, Zhokin A. Search for Soft Unclustered Energy Patterns in Proton-Proton Collisions at 13 TeV. PHYSICAL REVIEW LETTERS 2024; 133:191902. [PMID: 39576923 DOI: 10.1103/physrevlett.133.191902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 09/06/2024] [Indexed: 11/24/2024]
Abstract
The first search for soft unclustered energy patterns (SUEPs) is performed using an integrated luminosity of 138 fb^{-1} of proton-proton collision data at sqrt[s]=13 TeV, collected in 2016-2018 by the CMS detector at the LHC. Such SUEPs are predicted by hidden valley models with a new, confining force with a large 't Hooft coupling. In events with boosted topologies, selected by high-threshold hadronic triggers, the multiplicity and sphericity of clustered tracks are used to reject the background from standard model quantum chromodynamics. With no observed excess of events over the standard model expectation, limits are set on the cross section for production via gluon fusion of a scalar mediator with SUEP-like decays.
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S, Oreshkin V, Palichik V, Perelygin V, Perfilov M, Polikarpov S, Popov V, Radchenko O, Savina M, Savrin V, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Slabospitskii S, Smirnov V, Snigirev A, Sosnov D, Sulimov V, Tcherniaev E, Terkulov A, Teryaev O, Tlisova I, Toropin A, Uvarov L, Uzunian A, Vorobyev A, Vorotnikov G, Voytishin N, Yuldashev BS, Zarubin A, Zhizhin I, Zhokin A. Search for the Z Boson Decay to ττμμ in Proton-Proton Collisions at sqrt[s]=13 TeV. PHYSICAL REVIEW LETTERS 2024; 133:161805. [PMID: 39485967 DOI: 10.1103/physrevlett.133.161805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Accepted: 08/14/2024] [Indexed: 11/03/2024]
Abstract
The first search for the Z boson decay to ττμμ at the CERN LHC is presented, based on data collected by the CMS experiment at the LHC in proton-proton collisions at a center-of-mass energy of 13 TeV and corresponding to an integrated luminosity of 138 fb^{-1}. The data are compatible with the predicted background. For the first time, an upper limit at the 95% confidence level of 6.9 times the standard model expectation is placed on the ratio of the Z→ττμμ to Z→4μ branching fractions. Limits are also placed on the six flavor-conserving four-lepton effective-field-theory operators involving two muons and two tau leptons, for the first time testing all such operators.
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Search for Light Long-Lived Particles in pp Collisions at sqrt[s]=13 TeV Using Displaced Vertices in the ATLAS Inner Detector. PHYSICAL REVIEW LETTERS 2024; 133:161803. [PMID: 39485965 DOI: 10.1103/physrevlett.133.161803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 08/29/2024] [Accepted: 09/11/2024] [Indexed: 11/03/2024]
Abstract
A search for long-lived particles (LLPs) using 140 fb^{-1} of pp collision data with sqrt[s]=13 TeV recorded by the ATLAS experiment at the LHC is presented. The search targets LLPs with masses between 5 and 55 GeV that decay hadronically in the ATLAS inner detector. Benchmark models with LLP pair production from exotic decays of the Higgs boson and models featuring long-lived axionlike particles (ALPs) are considered. No significant excess above the expected background is observed. Upper limits are placed on the branching ratio of the Higgs boson to pairs of LLPs, the cross section for ALPs produced in association with a vector boson, and, for the first time, on the branching ratio of the top quark to an ALP and a u/c quark.
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Search for the Exclusive W Boson Hadronic Decays W^{±}→π^{±}γ, W^{±}→K^{±}γ and W^{±}→ρ^{±}γ with the ATLAS Detector. PHYSICAL REVIEW LETTERS 2024; 133:161804. [PMID: 39485985 DOI: 10.1103/physrevlett.133.161804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 07/15/2024] [Indexed: 11/03/2024]
Abstract
A search for the exclusive hadronic decays W^{±}→π^{±}γ, W^{±}→K^{±}γ, and W^{±}→ρ^{±}γ is performed using up to 140 fb^{-1} of proton-proton collisions recorded with the ATLAS detector at a center-of-mass energy of sqrt[s]=13 TeV. If observed, these rare processes would provide a unique test bench for the quantum chromodynamics factorization formalism used to calculate cross sections at colliders. Additionally, at future colliders, these decays could offer a new way to measure the W boson mass through fully reconstructed decay products. The search results in the most stringent upper limits to date on the branching fractions B(W^{±}→π^{±}γ)<1.9×10^{-6}, B(W^{±}→K^{±}γ)<1.7×10^{-6}, B(W^{±}→ρ^{±}γ)<5.2×10^{-6} at 95% confidence level.
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Reichert J, Reid M, Ryd A, Thom J, Wittich P, Zou R, Albrow M, Alyari M, Amram O, Apollinari G, Apresyan A, Bauerdick LAT, Berry D, Berryhill J, Bhat PC, Burkett K, Butler JN, Canepa A, Cerati GB, Cheung HWK, Chlebana F, Cummings G, Dickinson J, Dutta I, Elvira VD, Feng Y, Freeman J, Gandrakota A, Gecse Z, Gray L, Green D, Grummer A, Grünendahl S, Guerrero D, 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, Stoynev S, Strait J, Taylor L, Tkaczyk S, Tran NV, Uplegger L, Vaandering EW, Zoi I, Aruta C, Avery P, Bourilkov D, Cadamuro L, Chang P, Cherepanov V, Field RD, Koenig E, Kolosova M, Konigsberg J, Korytov A, Lo KH, Matchev K, Menendez N, Mitselmakher G, Mohrman K, Madhu AM, Rawal N, Rosenzweig D, Rosenzweig S, Shi K, Wang J, Adams T, Kadhim AA, Askew A, Bower N, Habibullah R, Hagopian V, Hashmi R, Kim RS, Kim S, Kolberg T, Martinez G, Prosper H, Prova PR, Viazlo O, Wulansatiti M, Yohay R, Zhang J, Alsufyani B, Baarmand MM, Butalla S, Elkafrawy T, Hohlmann M, Verma RK, Rahmani M, Adams MR, Bennett C, Cavanaugh R, Dittmer S, Franco RE, Evdokimov O, Gerber CE, Hofman DJ, Lee JH, Lemos DS, Merrit AH, Mills C, Nanda S, Oh G, Ozek B, Pilipovic D, Roy T, Rudrabhatla S, Tonjes MB, Varelas N, Wang X, Ye Z, Yoo J, Alhusseini M, Blend D, Dilsiz K, Emediato L, Karaman G, Köseyan OK, Merlo JP, Mestvirishvili A, Nachtman J, Neogi O, Ogul H, Onel Y, Penzo A, Snyder C, Tiras E, Blumenfeld B, Corcodilos L, Davis J, Gritsan AV, Kang L, Kyriacou S, Maksimovic P, Roguljic M, Roskes J, Sekhar S, Swartz M, Vámi TÁ, Abreu A, Alcerro LFA, Anguiano J, Baringer P, Bean A, Flowers Z, Grove D, King J, Krintiras G, Lazarovits M, Le Mahieu C, Lindsey C, Marquez J, Minafra N, Murray M, Nickel M, Pitt M, Popescu S, Rogan C, Royon C, Salvatico R, Sanders S, Smith C, Wang Q, Wilson G, Allmond B, Ivanov A, Kaadze K, Kalogeropoulos A, Kim D, Maravin Y, Nam K, Natoli J, Roy D, Sorrentino G, Rebassoo F, Wright D, Baden A, Belloni A, Bethani A, Chen YM, Eno SC, Hadley NJ, Jabeen S, Kellogg RG, Koeth T, Lai Y, Lascio S, Mignerey AC, Nabili S, Palmer C, Papageorgakis C, Paranjpe MM, Wang L, Bendavid J, Busza W, Cali IA, Chen Y, D’Alfonso M, Eysermans J, Freer C, Gomez-Ceballos G, Goncharov M, Harris P, Hoang D, Kovalskyi D, Krupa J, Lavezzo L, Lee YJ, Long K, Mironov C, Paus C, Rankin D, Roland C, Roland G, Rothman S, Shi Z, Stephans GSF, Wang J, Wang Z, Wyslouch B, Yang TJ, Crossman B, Joshi BM, Kapsiak C, Krohn M, Mahon D, Mans J, Marzocchi B, Pandey S, Revering M, Rusack R, Saradhy R, Schroeder N, Strobbe N, Wadud MA, Cremaldi LM, Bloom K, Bryson M, Claes DR, Fangmeier C, Golf F, Haza G, Hossain J, Joo C, Kravchenko I, Reed I, Siado JE, Tabb W, Vagnerini A, Wightman A, Yan F, Yu D, Zecchinelli AG, Agarwal G, Bandyopadhyay H, Hay L, Iashvili I, Kharchilava A, Morris M, Nguyen D, Rappoccio S, Sfar HR, Williams A, Barberis E, Haddad Y, Han Y, Krishna A, Li J, Lu M, Madigan G, Mccarthy R, Morse DM, Nguyen V, Orimoto T, Parker A, Skinnari L, Tishelman-Charny A, Wang B, Wood D, Bhattacharya S, Bueghly J, Chen Z, Hahn KA, Liu Y, Miao Y, Monk DG, Schmitt MH, Taliercio A, Velasco M, Band R, Bucci R, Castells S, Cremonesi M, Das A, Goldouzian R, Hildreth M, Ho KW, Anampa KH, Jessop C, Lannon K, Lawrence J, Loukas N, Lutton L, Mariano J, Marinelli N, Mcalister I, McCauley T, Mcgrady C, Moore C, Musienko Y, Nelson H, Osherson M, Ruchti R, Townsend A, Wayne M, Yockey H, Zarucki M, Zygala L, Basnet A, Bylsma B, Carrigan M, Durkin LS, Hill C, Joyce M, Lesauvage A, Ornelas MN, Wei K, Winer BL, Yates BR, Addesa FM, Bouchamaoui H, Das P, Dezoort G, Elmer P, Frankenthal A, Greenberg B, Haubrich N, Higginbotham S, Kopp 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Nibigira E, Spanier S, Aebi D, Ahmad M, Bouhali O, Dalchenko M, 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, Hussain A, Kazhykarim Y, Lamichhane K, Lee SW, Mankel A, Mengke T, Muthumuni S, Peltola T, Volobouev I, Whitbeck A, Appelt E, Greene S, Gurrola A, Johns W, Elayavalli RK, Melo A, Romeo F, Sheldon P, Tuo S, Velkovska J, Viinikainen J, Cardwell B, Cox B, Hakala J, Hirosky R, Ledovskoy A, Li A, Neu C, Lara CEP, Karchin PE, Aravind A, 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, 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, Warden A, Afanasiev S, Andreev V, Andreev Y, Aushev T, Azarkin M, Babaev A, Belyaev A, Blinov V, Boos E, Borshch V, Budkouski D, Chekhovsky V, Chistov R, Danilov M, Dermenev A, Dimova T, Druzhkin D, Dubinin M, Dudko L, Ershov A, Gavrilov G, Gavrilov V, Gninenko S, Golovtcov V, Golubev N, Golutvin I, Gorbunov I, Gribushin A, 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, Lanev A, Levchenko P, Lychkovskaya N, Makarenko V, Malakhov A, Matveev V, Murzin V, Nikitenko A, Obraztsov S, Oreshkin V, Palichik V, Perelygin V, Petrushanko S, Polikarpov S, Popov V, Radchenko O, Savina M, Savrin V, Sergeev M, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Slabospitskii S, Smirnov V, Snigirev A, Sosnov D, Sulimov V, Tcherniaev E, Terkulov A, Teryaev O, Tlisova I, Toropin A, Uvarov L, Uzunian A, Vorobyev A, Voytishin N, Yuldashev BS, Zarubin A, Zhizhin I, Zhokin A. Observation of the Λ b 0 → J / ψ Ξ - K + decay. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2024; 84:1062. [PMID: 39422214 PMCID: PMC11480154 DOI: 10.1140/epjc/s10052-024-13114-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 07/08/2024] [Indexed: 10/19/2024]
Abstract
Using proton-proton collision data corresponding to an integrated luminosity of 140 fb - 1 collected by the CMS experiment ats = 13 Te V , theΛ b 0 → J / ψ Ξ - K + decay is observed for the first time, with a statistical significance exceeding 5 standard deviations. The relative branching fraction, with respect to theΛ b 0 → ψ ( 2 S ) Λ decay, is measured to be B ( Λ b 0 → J / ψ Ξ - K + ) / B ( Λ b 0 → ψ ( 2 S ) Λ ) = [ 3.38 ± 1.02 ± 0.61 ± 0.03 ] % , where the first uncertainty is statistical, the second is systematic, and the third is related to the uncertainties in B ( ψ ( 2 S ) → J / ψ π + π - ) and B ( Ξ - → Λ π - ) .
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Grants
- SC
- 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
- Estonian Research Council via PRG780, PRG803, RVTT3 and TK202
- 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 á l’Énergie Atomique et aux Énergies Alternatives
- Shota Rustaveli National Science Foundation
- 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
- ICSC -National Research Centre for High Performance Computing, Big Data and Quantum Computing, funded by the EU NexGeneration program
- 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
- Ministry of Science and Technology
- Ministry of Higher Education, Science, Research and Innovation
- 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
- Horizon 2020 Grant, contract Nos. 675440, 724704, 752730, 758316, 765710, 824093 (European Union)
- Leventis Foundation
- Alfred P. Sloan Foundation
- Alexander von Humboldt Foundation
- Science Committee, project no. 22rl-037
- Belgian Federal Science Policy Office
- Fonds pour la Formation á 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
- Fundamental Research Funds for the Central Universities
- 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. FSWU-2023-0073 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
- CUAASC
- National Science, Research and Innovation Fund via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation, grant B37G660013
- 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, Universitá di Bari, Politecnico di Bari, Bari
- INFN Sezione di Pisa, Universitá di Pisa, Scuola Normale Superiore di Pisa, Pisa
- INFN Sezione di Roma, Sapienza Universitá di Roma, Rome
- INFN Sezione di Trieste, Universitá 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
- Instrumentation and Detector Consortium, Taipei
- 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
- GridPP, University of Oxford, Oxford
- 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
- San Diego Supercomputer Center (SDSC), La Jolla
- 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
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Aad G, Abbott B, Abeling K, Abicht N, Abidi S, Aboulhorma A, Abramowicz H, Abreu H, Abulaiti Y, Abusleme Hoffman A, Acharya B, Adam Bourdarios C, Adamczyk L, Adamek L, Addepalli S, Addison M, Adelman J, Adiguzel A, Adye T, Affolder A, Afik Y, Agaras M, Agarwala J, Aggarwal A, Agheorghiesei C, Ahmad A, Ahmadov F, Ahmed W, Ahuja S, Ai X, Aielli G, Aikot A, Ait Tamlihat M, Aitbenchikh B, Aizenberg I, Akbiyik M, Åkesson T, Akimov A, Akiyama D, Akolkar N, Al Khoury K, Alberghi G, Albert J, Albicocco P, Albouy G, Alderweireldt S, Aleksa M, Aleksandrov I, Alexa C, Alexopoulos T, Alfonsi F, Algren M, Alhroob M, Ali B, Ali H, Ali S, Alibocus S, Aliev M, Alimonti G, Alkakhi W, Allaire C, Allbrooke B, Allen J, Allendes Flores C, Allport P, Aloisio A, Alonso F, Alpigiani C, Alvarez Estevez M, Alvarez Fernandez A, Alves Cardoso M, Alviggi M, Aly M, Amaral Coutinho Y, Ambler A, Amelung C, Amerl M, Ames C, Amidei D, Amor Dos Santos S, Amos K, Ananiev V, Anastopoulos C, Andeen T, Anders J, Andrean S, 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Wang S, Wang T, Wang W, Wang W, Wang X, Wang X, Wang X, Wang Y, Wang Y, Wang Z, Wang Z, Wang Z, Warburton A, Ward R, Warrack N, Watson A, Watson H, Watson M, Watton E, Watts G, Waugh B, Weber C, Weber H, Weber M, Weber S, Wei C, Wei Y, Weidberg A, Weik E, Weingarten J, Weirich M, Weiser C, Wells C, Wenaus T, Wendland B, Wengler T, Wenke N, Wermes N, Wessels M, Wharton A, White A, White A, White M, Whiteson D, Wickremasinghe L, Wiedenmann W, Wiel C, Wielers M, Wiglesworth C, Wilbern D, Wilkens H, Williams D, Williams H, Williams S, Willocq S, Wilson B, Windischhofer P, Winkel F, Winklmeier F, Winter B, Winter J, Wittgen M, Wobisch M, Wolffs Z, Wölker R, Wollrath J, Wolter M, Wolters H, Wongel A, Worm S, Wosiek B, Woźniak K, Wozniewski S, Wraight K, Wu C, Wu J, Wu M, Wu M, Wu S, Wu X, Wu Y, Wu Z, Wuerzinger J, Wyatt T, Wynne B, Xella S, Xia L, Xia M, Xiang J, Xie M, Xie X, Xin S, Xiong J, Xu D, Xu H, Xu L, Xu R, Xu T, Xu Y, Xu Z, Xu Z, Yabsley B, Yacoob S, Yamaguchi Y, Yamashita E, Yamauchi H, Yamazaki T, Yamazaki Y, Yan J, Yan S, Yan Z, Yang H, Yang H, Yang S, Yang T, Yang X, Yang X, Yang Y, Yang Y, Yang Z, Yao WM, Yap Y, Ye H, Ye H, Ye J, Ye S, Ye X, Yeh Y, Yeletskikh I, Yeo B, Yexley M, Yin P, Yorita K, Younas S, Young C, Young C, Yu Y, Yuan M, Yuan R, Yue L, Zaazoua M, Zabinski B, Zaid E, Zakareishvili T, Zakharchuk N, Zambito S, Saa JZ, Zang J, Zanzi D, Zaplatilek O, Zeitnitz C, Zeng H, Zeng J, Zenger D, Zenin O, Ženiš T, Zenz S, Zerradi S, Zerwas D, Zhai M, Zhang B, Zhang D, Zhang J, Zhang J, Zhang K, Zhang L, Zhang P, Zhang R, Zhang S, Zhang T, Zhang X, Zhang X, Zhang Y, Zhang Y, Zhang Z, Zhang Z, Zhao H, Zhao P, Zhao T, Zhao Y, Zhao Z, Zhemchugov A, Zheng J, Zheng K, Zheng X, Zheng Z, Zhong D, Zhou B, Zhou H, Zhou N, Zhou Y, Zhu C, Zhu J, Zhu Y, Zhu Y, Zhuang X, Zhukov K, Zhulanov V, Zimine N, Zinsser J, Ziolkowski M, Živković L, Zoccoli A, Zoch K, Zorbas T, Zormpa O, Zou W, Zwalinski L. Combination and summary of ATLAS dark matter searches interpreted in a 2HDM with a pseudo-scalar mediator using 139 fb -1 of s=13 TeV pp collision data. Sci Bull (Beijing) 2024; 69:3005-3035. [PMID: 39179456 DOI: 10.1016/j.scib.2024.06.003] [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: 06/13/2023] [Revised: 07/03/2023] [Accepted: 05/27/2024] [Indexed: 08/26/2024]
Abstract
Results from a wide range of searches targeting different experimental signatures with and without missing transverse momentum (ETmiss) are used to constrain a Two-Higgs-Doublet Model (2HDM) with an additional pseudo-scalar mediating the interaction between ordinary and dark matter (2HDM+a). The analyses use up to 139 fb-1 of proton-proton collision data at a centre-of-mass energy s=13 TeV recorded with the ATLAS detector at the Large Hadron Collider during 2015-2018. The results from three of the most sensitive searches are combined statistically. These searches target signatures with large ETmiss and a leptonically decaying Z boson; large ETmiss and a Higgs boson decaying to bottom quarks; and production of charged Higgs bosons in final states with top and bottom quarks, respectively. Constraints are derived for several common and new benchmark scenarios in the 2HDM+a.
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Zhang XN, Meng QT, Zhang HW, Wang C, Zhang SY, Chen HQ, Li XB, Chen R. [The effect and mechanism of exposure to polystyrene nanoplastics on lipid metabolism in mice liver]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2024; 58:1524-1533. [PMID: 39428237 DOI: 10.3760/cma.j.cn112150-20240708-00546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 10/22/2024]
Abstract
Objective: To investigate the effect and potential mechanism of exposure to 20 nm polystyrene nanoplastics (PS-NPs) on lipid metabolism in mice liver. Methods: An animal experimental model was designed, which was completed from September 2022 to July 2023 on the exposure omics platform of the School of Public Health at Capital Medical University and the Key Laboratory of Environment and Population Health at the Chinese Center for Disease Control and Prevention.1 mg/kg and 10 mg/kg PS-NPs tail vein mice exposure models were constructed. After exposure 7 d, serum was collected to measure the levels of alanine aminotransferase (ALT) and aspartate aminotransferase (AST). Real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) and air flow assisted desorption electrospray ionization-mass spectrometry imaging (AFADESI-MSI) analysis were used to analyze the mRNA levels of fatty acid esterification related genes (Dgat1 and Dgat2) and lipid transport related genes (ApoB, Cd36, ApoE and Mttp) and metabolites' spatial changes in liver tissue. In vivo imaging system (IVIS) and tissue shake sections were employed to observe the fluorescence biological distribution of PS-NPs. t-test or one-way ANOVA was used to explore the difference between groups. Results: The serum ALT levels were (83.97±4.58), (91.17±13.69) and (142.43±6.09) U/L in the control group, 1 mg/kg PS-NPs exposure group and 10 mg/kg PS-NPs exposure group respectively (F=37.281, P<0.05). The relative mRNA levels of Dgat1, Dgat2, ApoB, Cd36 and ApoE were (1.49±0.63, 2.53±0.32, 2.45±0.54), (1.07±0.38, 1.86±0.83, 2.23±0.73), (1.01±0.13, 1.58±0.43, 2.03±0.52), (1.01±0.14, 1.55±0.37, 1.52±0.51), (1.01±0.17, 2.11±0.27, 2.39±0.93) in these three groups respectively. The differences were statistically significant (F=11.54, 6.95, 14.90, 5.98 and 14.68, P<0.05). AFADESI-MSI analysis found that PS-NPs exposure led to a significant decrease in the levels of glutarylcarnitine and O-Linoleoylcarnitine (t=4.12 and 3.35, P<0.05), which were associated with lipid beta oxidation. The content of triglycerides (TG) (m/z 921.726 4, t=8.69, P<0.05; m/z 919.711 4, t=3.20, P<0.05), phosphatidylic acid (PA) (m/z 895.712 3, t=3.60, P<0.05; m/z 821.526 6, t=3.36, P<0.05), lysophosphatidylcholine (LysoPC) (m/z 560.310 6, t=3.35, P<0.05; m/z 582.295 3, t=6.28, P<0.05), phosphatidylcholine (PC) (m/z 778.533 9, t=3.53, P<0.05; m/z 804.549 6, t=3.60, P<0.05; m/z 820.523 1, t=3.37, P<0.05), phosphatidylethanolamine (PE) (m/z 772.523 3, t=3.08, P<0.05) showed a significant increase in the PS-NPs exposure group. In vivo and in vitro imaging and in situ cell localization revealed that PS-NPs were mainly enriched in hepatic stellate cells and hepatic Kupffer cells in liver tissue. Conclusion: Exposure to PS-NPs induces disorder of liver lipid metabolism, which may be related to the accumulation of PS-NPs in hepatic stellate cells and hepatic Kupffer cells, providing basis for searching early biomarkers of PS-NPs exposure and further mechanism research.
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Zhang XT, Cao Y, Zhang WY, Jiang LL, Liu MM, Song FJ, Liu TT, Chen CY, Li L, Liu H, Fan L, Du H, Sun YM, Wang C, Luo B, Wang XL. [Analysis of pollution status and influencing factors of polybrominated diphenyl ethers in household dust in five cities in northern China]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2024; 58:1514-1523. [PMID: 39428236 DOI: 10.3760/cma.j.cn112150-20231210-00422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 10/22/2024]
Abstract
Objective: To investigate the pollution levels and influencing factors of polybrominated diphenyl ethers (PBDEs) in household dust in five cities in northern China. Methods: Based on the "Chinese Indoor Environment and Health Surveillance" project carried out by the National Institute of Environmental Health, Chinese Center for Disease Control and Prevention in 2018-2019, during the warm season (April 2018 to September 2018) and the cold season (November 2018 to March 2019), Lanzhou in Northwest China, Shijiazhuang in North China, Panjin in Northeast China, Luoyang in Central China, and Qingdao in East China were selected as the research sites. A total of 87 families were recruited to study residences in real-life scenarios. At the same time, dust samples were collected to detect the concentration of PBDEs. The level of household environmental indicators was measured, and the residential building characteristics and family behavior habits were collected through questionnaires. A total of 142 valid dust samples and 140 valid questionnaires were obtained. The differences in PBDE concentrations across seasons, wind zones, residential building characteristics, and family habits were analyzed. The exploratory factor analysis was performed to investigate the possible sources of PBDEs, and multivariate linear regression was used to explore the factors influencing PBDEs in household dust. Results: The M (Q1, Q3) of total PBDE concentrations in 142 household dust samples in five cities was 144.51 (106.61, 222.65) ng/g in the warm season and 145.10 (98.57, 180.65) ng/g in the cold season, respectively. There were seasonal differences in the concentration of ∑12PBDEs in Luoyang and Shijiazhuang (P<0.01). The concentration of BDE-71 was highest among PBDE homologues, followed by BDE-66 and BDE-47. Three factors were extracted by exploratory factor analysis in the warm season, and the cumulative variance contribution rate was 67.90%. The multivariate linear regression showed that the house completion less than ten years [β (95%CI): 0.186 (0.013, 0.359)], infrequent home cooking [β (95%CI):-0.342 (-0.570, -0.114)], and increased residential PM10 concentration [β (95%CI): 0.001 (0.000, 0.002)] during the warm season, as well as the house far from driveway [β (95%CI): 0.093 (0.013, 0.172)], house area less than 90 m2 [β (95%CI):-0.138 (-0.264, -0.013)], and lower residential xylene concentration [β (95%CI):-0.006 (-0.011, -0.001)] during the cold season might be related to the elevated concentrations of ∑12PBDEs in household dust. Conclusion: The pollution of PBDEs in household dust in five northern cities is at a medium to high level. Years of house completion, frequency of cooking at home, residential PM10 concentration, distance from house to driveway, house area, and residential xylene concentration may influence household PBDE concentrations.
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Huang H, Wei J, Shen HJ, Tan QX, Xue J, Wang C. [Analysis of the changes of bacterial spectrum and drug resistance in sputum culture of ICU children in a hospital of pediatric in Jiangsu Province from 2017 to 2022]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2024; 58:1534-1540. [PMID: 39428238 DOI: 10.3760/cma.j.cn112150-20240514-00386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 10/22/2024]
Abstract
Objective: To investigate the changes of the distribution and drug resistance profile of bacteria from ICU children with lower respiratory tract infection (LRTI) in Suzhou City, Jiangsu Province from 2017 to 2022. Methods: From January 2017 to December 2022, a cross-sectional observational study on the bacterial spectrum analysis among intensive care unit (ICU) children with LRTI was conducted in Children's Hospital of Soochow University. The bacteria was cultivated by culture methods from sputum samples, and identified by MALDI-TOF mass spectrometry. Drug sensitivity tests were performed by the VITEK2 Compact fully automated analysis system and the paper slide method. The χ2 test or Fisher's exact probability was used to analyze the changes of the distribution of sputum culture-positive bacteria and drug resistance in ICU children. Results: The overall detection rate of sputum culture was 42.06% (1 182/2 810). Staphylococcus aureus (25.63%,303/1 182), Acinetobacter baumannii (13.62%,161/1 182) and Haemaphilus influenzae (13.28%,157/1 182) were the top three. Proportions of Acinetobacter baumannii (17.90% vs. 11.02%,χ²=11.17, P=0.001), especially carbapenem-resistant Acinetobacter baumannii (43.70% vs. 23.50%, χ²=15.21, P<0.001) increased significantly from 2020 to 2022. However, the proportions of Haemophilus influenzae (8.50% vs. 16.19%, χ²=14.27, P<0.001), Streptococcus pneumoniae (8.50% vs. 15.92%, χ²=13.42, P<0.001) and extended-spectrum-lactamase producing Escherichia coli (8.89% vs. 18.00%, χ²=5.45, P=0.025) decreased. Drug resistant results showed that Acinetobacter baumannii was obviously more resistant to imipenem (χ²=4.43, P=0.035) and levofloxacin (χ²=12.53, P<0.001), while more sensitive to minocycline (χ²=8.34, P=0.004). Escherichia coli showed a significant increase in resistance to piperacillin tazobactam (χ²=8.29, P=0.008) and cefoperazone sulbactam (χ²=5.07, P=0.024) from 2020 to 2022; Klebsiella pneumoniae consistently maintained a resistance rate of more than 60% to first and second-generation cephalosporins, and remain susceptible to quinolones and carbapenems. Staphylococcus aureus remained highly susceptible to levofloxacin (drug resistance rate: 2.31%,7/303) and sulfamethoxazole/trimethoprim (drug resistance rate: 4.95%,15/303) from 2020 to 2022. Conclusion: Higher detection and resistance rates of Acinetobacter baumannii from sputum culture in ICU children from 2020 to 2022 were explored. Resistance of Escherichia coli to β-lactamase inhibitor combinations was more serious. Regular monitoring the changes of the etiology of respiratory tract infections in ICU Children is particularly important for the prevention and treatment of multidrug-resistant bacterial infections.
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Hayrapetyan A, Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, Damanakis K, Dragicevic M, Hussain PS, Jeitler M, Krammer N, Li A, Liko D, Mikulec I, Schieck J, Schöfbeck R, Schwarz D, Sonawane M, Templ S, Waltenberger W, Wulz CE, Darwish MR, Janssen T, Van Mechelen P, Bols ES, D'Hondt J, Dansana S, De Moor A, Delcourt M, El Faham H, Lowette S, Makarenko I, Müller D, Sahasransu AR, Tavernier S, Tytgat M, Van Onsem GP, Van Putte S, Vannerom D, Clerbaux B, Das AK, De Lentdecker G, Favart L, Gianneios P, Hohov D, Jaramillo J, Khalilzadeh A, Lee K, Mahdavikhorrami M, Malara A, Paredes S, Pétré L, Postiau N, Thomas L, Vanden Bemden M, Vander Velde C, Vanlaer P, De Coen M, Dobur D, Hong Y, Knolle J, Lambrecht L, Mestdach G, Mota Amarilo K, Rendón C, Samalan A, Skovpen K, Van Den Bossche N, van der Linden J, Wezenbeek L, Benecke A, Bethani A, Bruno G, Caputo C, Delaere C, Donertas IS, Giammanco A, Jaffel K, Jain S, Lemaitre V, Lidrych J, Mastrapasqua P, Mondal K, Tran TT, Wertz S, Alves GA, Coelho E, Hensel C, Menezes De Oliveira T, Moraes A, Rebello Teles P, Soeiro M, 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, Fonseca De Souza S, Gomes De Souza R, Martins J, Mora Herrera C, Mundim L, Nogima H, Pinheiro JP, Santoro A, Sznajder A, Thiel M, Vilela Pereira A, Bernardes CA, Calligaris L, Tomei TRFP, Gregores EM, Mercadante PG, Novaes SF, Orzari B, Padula SS, Aleksandrov A, Antchev G, Hadjiiska R, Iaydjiev P, Misheva M, Shopova M, Sultanov G, Dimitrov A, Litov L, Pavlov B, Petkov P, Petrov A, Shumka E, Keshri S, Thakur S, Cheng T, Javaid T, Yuan L, Hu Z, Liu J, Yi K, Chen GM, Chen HS, Chen M, Iemmi F, Jiang CH, Kapoor A, Liao H, Liu ZA, Sharma R, Song JN, Tao J, Wang C, Wang J, Wang Z, Zhang H, Agapitos A, Ban Y, Levin A, Li C, Li Q, Mao Y, Qian SJ, Sun X, Wang D, Yang H, Zhang L, Zhou C, You Z, Lu N, Bauer G, Gao X, Leggat D, Okawa H, Lin Z, Lu C, Xiao M, Avila C, Barbosa Trujillo DA, Cabrera A, Florez C, Fraga J, Reyes Vega JA, Mejia Guisao J, Ramirez F, Rodriguez M, Ruiz Alvarez JD, Giljanovic D, Godinovic N, Lelas D, Sculac A, Kovac M, Sculac T, Bargassa P, Brigljevic V, Chitroda BK, Ferencek D, Mishra S, Starodumov A, Susa T, Attikis A, Christoforou K, Konstantinou S, Mousa J, Nicolaou C, Ptochos F, Razis PA, Rykaczewski H, Saka H, Stepennov A, Finger M, Finger M, Kveton A, Ayala E, Carrera Jarrin E, Abdelalim AA, Salama E, Lotfy A, Mahmoud MA, Ehataht K, Kadastik M, Lange T, Nandan S, Nielsen C, Pata J, Raidal M, Tani L, Veelken C, Kirschenmann H, Osterberg K, Voutilainen M, Bharthuar S, Brücken E, Garcia F, Kallonen KTS, Kinnunen R, Lampén T, Lassila-Perini K, Lehti S, Lindén T, Martikainen L, Myllymäki M, Rantanen MM, Siikonen H, Tuominen E, Tuominiemi J, Luukka P, Petrow H, Besancon M, Couderc F, Dejardin M, Denegri D, Faure JL, Ferri F, Ganjour S, Gras P, Hamel de Monchenault G, Lohezic V, Malcles J, Rander J, 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A, Eich N, Eliseev D, Engelke F, Erdmann J, Erdmann M, Fackeldey P, Fischer B, Hebbeker T, Hoepfner K, Ivone F, Jung A, Lee MY, Mastrolorenzo L, Mausolf F, Merschmeyer M, Meyer A, Mukherjee S, Noll D, Nowotny F, Pozdnyakov A, Rath Y, Redjeb W, Rehm F, Reithler H, Sarkar U, Sarkisovi V, Schmidt A, Sharma A, Spah JL, Stein A, Torres Da Silva De Araujo F, Vigilante L, Wiedenbeck S, Zaleski S, Dziwok C, Flügge G, Haj Ahmad W, Kress T, Nowack A, Pooth O, Stahl A, Ziemons T, Zotz A, Aarup Petersen H, Aldaya Martin M, Alimena J, Amoroso S, An Y, Baxter S, Bayatmakou M, Becerril Gonzalez H, Behnke O, Belvedere A, Bhattacharya S, Blekman F, Borras K, Campbell A, Cardini A, Cheng C, Colombina F, Consuegra Rodríguez S, Correia Silva G, De Silva M, Eckerlin G, Eckstein D, Estevez Banos LI, Filatov O, Gallo E, Geiser A, Giraldi A, Greau G, Guglielmi V, Guthoff M, Hinzmann A, Jafari A, Jeppe L, Jomhari NZ, Kaech B, Kasemann M, 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, Meyer AB, Milella G, Mussgiller A, Nair LP, Nürnberg A, Otarid Y, Park J, Pérez Adán D, Ranken E, Raspereza A, Ribeiro Lopes B, Rübenach J, Saggio A, Scham M, Schnake S, Schütze P, Schwanenberger C, Selivanova D, Sharko K, Shchedrolosiev M, Sosa Ricardo RE, Stafford D, Vazzoler F, Ventura Barroso A, Walsh R, Wang Q, Wen Y, Wichmann K, Wiens L, Wissing C, Yang Y, Zimermmane Castro Santos A, Albrecht A, Albrecht S, Antonello M, Bein S, Benato L, Bollweg S, Bonanomi M, Connor P, Eich M, El Morabit K, Fischer Y, Fröhlich A, Garbers C, Garutti E, Grohsjean A, Hajheidari M, Haller J, 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, Pena Rodriguez KJ, Quadfasel T, Raciti B, Rieger M, Savoiu D, Schindler J, Schleper P, Schröder M, Schwandt J, Sommerhalder M, Stadie H, Steinbrück G, Tews A, Wolf M, Brommer S, Burkart M, Butz E, Chwalek T, Dierlamm A, Droll A, Faltermann N, Giffels M, Gottmann A, Hartmann F, Hofsaess R, Horzela M, Husemann U, Kieseler J, Klute M, Koppenhöfer R, Lawhorn JM, Link M, Lintuluoto A, Maier S, Mitra S, Mormile M, Müller T, Neukum M, Oh M, Presilla M, Quast G, Rabbertz K, Regnery B, Shadskiy N, Shvetsov I, Simonis HJ, Toms M, Trevisani N, Ulrich R, Von Cube RF, Wassmer M, Wieland S, Wittig F, Wolf R, Zuo X, Anagnostou G, Daskalakis G, Kyriakis A, Papadopoulos A, Stakia A, Kontaxakis P, Melachroinos G, Panagiotou A, Papavergou I, Paraskevas I, Saoulidou N, Theofilatos K, Tziaferi E, Vellidis K, Zisopoulos I, Bakas G, Chatzistavrou T, Karapostoli G, Kousouris K, Papakrivopoulos I, Siamarkou E, Tsipolitis G, Zacharopoulou A, Adamidis K, Bestintzanos I, Evangelou I, Foudas C, Kamtsikis C, Katsoulis P, Kokkas P, Kosmoglou Kioseoglou PG, Manthos N, Papadopoulos I, Strologas J, Bartók M, Hajdu C, Horvath D, Márton K, Sikler F, Veszpremi V, Csanád M, Farkas K, 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R, Ciulli V, Civinini C, D'Alessandro R, Focardi E, Kello T, Latino G, Lenzi P, Lizzo M, Meschini M, Paoletti S, Papanastassiou A, Sguazzoni G, Viliani L, Benussi L, Bianco S, Meola S, Piccolo D, Chatagnon P, Ferro F, Robutti E, Tosi S, Benaglia A, Boldrini G, Brivio F, Cetorelli F, De Guio F, Dinardo ME, Dini P, Gennai S, Gerosa R, 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, Tabarelli de Fatis T, Zuolo D, Buontempo S, Cagnotta A, Carnevali F, Cavallo N, Fabozzi F, Iorio AOM, Lista L, Paolucci P, Rossi B, Sciacca C, Ardino R, Azzi P, Bacchetta N, Bisello D, Bortignon P, Bragagnolo A, Carlin R, Checchia P, Dorigo T, Gasparini F, Gasparini U, Gozzelino A, Gulmini M, Lusiani E, Margoni M, Marini F, Meneguzzo AT, Migliorini M, Pazzini J, Ronchese P, Rossin R, Simonetto F, Strong G, Tosi M, Triossi A, Yarar H, Zanetti M, Zotto P, Zucchetta A, Abu Zeid S, Aimè C, Braghieri A, Calzaferri S, Fiorina D, Montagna P, Re V, Riccardi C, Salvini P, Vai I, Vitulo P, Ajmal S, Bilei GM, Ciangottini D, Fanò L, Magherini M, Mantovani G, Mariani V, Menichelli M, Moscatelli F, Rossi A, Santocchia A, Spiga D, Tedeschi T, Asenov P, Azzurri P, Bagliesi G, Bhattacharya R, Bianchini L, Boccali T, Bossini E, Bruschini D, Castaldi R, Ciocci MA, Cipriani M, D'Amante V, Dell'Orso R, Donato S, Giassi A, Ligabue F, Matos Figueiredo D, Messineo A, Musich M, Palla F, Rizzi A, Rolandi G, Roy Chowdhury S, Sarkar T, Scribano A, Spagnolo P, Tenchini R, Tonelli G, Turini N, Venturi A, Verdini PG, Barria P, Campana M, Cavallari F, Cunqueiro Mendez L, Del Re D, Di Marco E, Diemoz M, Errico F, Longo E, Meridiani P, Mijuskovic J, Organtini G, Pandolfi F, Paramatti R, Quaranta C, Rahatlou S, Rovelli C, Santanastasio F, Soffi L, Amapane N, Arcidiacono R, Argiro S, Arneodo M, Bartosik N, Bellan R, Bellora A, Biino C, Borca C, Cartiglia N, Costa M, Covarelli R, Demaria N, Finco L, Grippo M, Kiani B, Legger F, Luongo F, Mariotti C, Markovic L, Maselli S, Mecca A, Migliore E, Monteno M, Mulargia R, Obertino MM, Ortona G, Pacher L, Pastrone N, Pelliccioni M, Ruspa M, Siviero F, Sola V, Solano A, Staiano A, Tarricone C, Trocino D, Umoret G, Vlasov E, Belforte S, Candelise V, Casarsa M, Cossutti F, De Leo K, Della Ricca G, Dogra S, Hong J, Huh C, Kim B, Kim DH, Kim J, Lee H, Lee SW, Moon CS, Oh YD, Ryu MS, Sekmen S, Yang YC, Kim MS, Bak G, Gwak P, Kim H, Moon DH, Asilar E, Kim D, Kim TJ, Merlin JA, Choi S, Han S, Hong B, Lee K, Lee KS, Lee S, Park J, Park SK, Yoo J, Goh J, Yang S, Kim HS, Kim Y, Lee S, Almond J, Bhyun JH, Choi J, Jun W, Kim J, Ko S, Kwon H, Lee H, Lee J, Lee J, Oh BH, 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, Watson IJ, Ha S, Yoo HD, Choi M, Kim MR, Lee H, Lee Y, Yu I, Beyrouthy T, Maghrbi Y, Dreimanis K, Gaile A, Pikurs G, Potrebko A, Seidel M, Veckalns V, Strautnieks NR, Ambrozas M, Juodagalvis A, Rinkevicius A, Tamulaitis G, Bin Norjoharuddeen N, 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, Crotte Ledesma H, De La Cruz-Burelo E, Heredia-De La Cruz I, Lopez-Fernandez R, Mondragon Herrera CA, Sánchez Hernández A, Oropeza Barrera C, Ramírez García M, Bautista I, Pedraza I, Salazar Ibarguen HA, Uribe Estrada C, Bubanja I, Raicevic N, Butler PH, Ahmad A, Asghar MI, Awais A, Awan MIM, Hoorani HR, Khan WA, 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, Muhammad A, Pozniak K, Zabolotny W, Araujo M, Bastos D, Beirão Da Cruz E Silva C, Boletti A, Bozzo M, Camporesi T, Da Molin G, Faccioli P, Gallinaro M, Hollar J, Leonardo N, Niknejad T, Petrilli A, Pisano M, Seixas J, Varela J, Wulff JW, Adzic P, Milenovic P, Dordevic M, Milosevic J, 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K, Lee SW, Mankel A, Peltola T, Volobouev I, Whitbeck A, Appelt E, Chen Y, Greene S, Gurrola A, Johns W, Kunnawalkam Elayavalli R, Melo A, Romeo F, Sheldon P, Tuo S, Velkovska J, Viinikainen J, Cardwell B, Cox B, Hakala J, Hirosky R, Ledovskoy A, Neu C, Perez Lara CE, Karchin PE, Aravind A, 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, 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, Warden A, Afanasiev S, Andreev V, Andreev Y, Aushev T, Azarkin M, Babaev A, Belyaev A, Blinov V, Boos E, Borshch V, Budkouski D, Chekhovsky V, Chistov R, Danilov M, Dermenev A, Dimova T, Druzhkin D, Ershov A, Gavrilov G, Gavrilov V, Gninenko S, Golovtcov V, Golubev N, Golutvin I, Gorbunov I, Gribushin A, Ivanov Y, Kachanov V, Kaminskiy A, Karjavine V, Karneyeu A, Khein L, Kim V, Kirakosyan M, Kirpichnikov D, Kirsanov M, Kodolova O, Korenkov V, Korotkikh V, Kozyrev A, Krasnikov N, Lanev A, Levchenko P, Lychkovskaya N, Makarenko V, Malakhov A, Matveev V, Murzin V, Nikitenko A, Obraztsov S, Oreshkin V, Palichik V, Perelygin V, Petrushanko S, Polikarpov S, Popov V, Radchenko O, Savina M, Savrin V, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Slabospitskii S, Smirnov V, Snigirev A, Sosnov D, Sulimov V, Tcherniaev E, Terkulov A, Teryaev O, Tlisova I, Toropin A, Uvarov L, Uzunian A, Vardanyan I, Vorobyev A, Voytishin N, Yuldashev BS, Zarubin A, Zhizhin I, Zhokin A. Observation of Enhanced Long-Range Elliptic Anisotropies Inside High-Multiplicity Jets in pp Collisions at sqrt[s]=13 TeV. PHYSICAL REVIEW LETTERS 2024; 133:142301. [PMID: 39423390 DOI: 10.1103/physrevlett.133.142301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 06/20/2024] [Accepted: 08/27/2024] [Indexed: 10/21/2024]
Abstract
A search for collective effects inside jets produced in proton-proton collisions is performed via correlation measurements of charged particles using the CMS detector at the CERN LHC. The analysis uses data collected at a center-of-mass energy of sqrt[s]=13 TeV, corresponding to an integrated luminosity of 138 fb^{-1}. Jets are reconstructed with the anti-k_{T} algorithm with a distance parameter of 0.8 and are required to have transverse momentum greater than 550 GeV and pseudorapidity |η^{jet}|<1.6. Two-particle correlations among the charged particles within the jets are studied as functions of the particles' azimuthal angle and pseudorapidity separations (Δϕ^{*} and Δη^{*}) in a jet coordinate basis, where particles' η^{*}, ϕ^{*} are defined relative to the direction of the jet. The correlation functions are studied in classes of in-jet charged-particle multiplicity up to N_{ch}^{j}≈100. Fourier harmonics are extracted from long-range azimuthal correlation functions to characterize azimuthal anisotropy for |Δη^{*}|>2. For low-N_{ch}^{j} jets, the long-range elliptic anisotropic harmonic, v_{2}^{*}, is observed to decrease with N_{ch}^{j}. This trend is well described by Monte Carlo event generators. However, a rising trend for v_{2}^{*} emerges at N_{ch}^{j}≳80, hinting at a possible onset of collective behavior, which is not reproduced by the models tested. This observation yields new insights into the dynamics of jet evolution in the vacuum.
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Yu Y, Yuan M, Yuan R, Yue L, Zaazoua M, Zabinski B, Zaid E, Zak ZK, Zakareishvili T, Zakharchuk N, Zambito S, Zamora Saa JA, Zang J, Zanzi D, Zaplatilek O, Zeitnitz C, Zeng H, Zeng JC, Zenger DT, Zenin O, Ženiš T, Zenz S, Zerradi S, Zerwas D, Zhai M, Zhang DF, Zhang J, Zhang J, Zhang K, Zhang L, Zhang P, Zhang R, Zhang S, Zhang S, Zhang T, Zhang X, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang Z, Zhang Z, Zhao H, Zhao T, Zhao Y, Zhao Z, Zhemchugov A, Zheng J, Zheng K, Zheng X, Zheng Z, Zhong D, Zhou B, Zhou H, Zhou N, Zhou Y, Zhu CG, Zhu J, Zhu Y, Zhu Y, Zhuang X, Zhukov K, Zhulanov V, Zimine NI, Zinsser J, Ziolkowski M, Živković L, Zoccoli A, Zoch K, Zorbas TG, Zormpa O, Zou W, Zwalinski L. Determination of the Relative Sign of the Higgs Boson Couplings to W and Z Bosons Using WH Production via Vector-Boson Fusion with the ATLAS Detector. PHYSICAL REVIEW LETTERS 2024; 133:141801. [PMID: 39423379 DOI: 10.1103/physrevlett.133.141801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 07/09/2024] [Accepted: 08/22/2024] [Indexed: 10/21/2024]
Abstract
The associated production of Higgs and W bosons via vector-boson fusion is highly sensitive to the relative sign of the Higgs boson couplings to W and Z bosons. In this Letter, two searches for this process are presented, using 140 fb^{-1} of proton-proton collision data at sqrt[s]=13 TeV recorded by the ATLAS detector at the LHC. The first search targets scenarios with opposite-sign couplings of the W and Z bosons to the Higgs boson, while the second targets standard model-like scenarios with same-sign couplings. Both analyses consider Higgs boson decays into a pair of b quarks and W boson decays with an electron or muon. The data exclude the opposite-sign coupling hypothesis with a significance beyond 5σ, and the observed (expected) upper limit set on the cross section for vector-boson fusion WH production is 9.0 (8.7) times the standard model value at 95% confidence level.
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