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Tskhvarashvili G, Aher K, Sveide I, Katus U, Westerlund A, Hoti F, Wennerström C, Hassan F, Lee J, Hermanrud C, Johnsson I, Passey A, Nissinen R, Polesie S, Mälkönen T, Saarelainen L. Persistence of advanced systemic pharmacological treatment of moderate-to-severe psoriasis among bio-naïve patients-A retrospective register-based cohort study in Finland and Sweden. J Eur Acad Dermatol Venereol 2024. [PMID: 39092632 DOI: 10.1111/jdv.20198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 06/13/2024] [Indexed: 08/04/2024]
Abstract
BACKGROUND Plaque psoriasis (PsO) requires long-term treatment for symptom control and remission; thus, a long-term pharmacological intervention is necessary. Treatment persistence reflects long-term therapeutic effectiveness and tolerance. OBJECTIVES This study investigates drug persistence and compares treatment discontinuation rates across biologic agents and apremilast used by PsO patients in Finland and Sweden. METHODS This retrospective register-based cohort study included bio-naïve patients (≥18 years) with moderate-to-severe PsO, who initiated treatment with abatacept, adalimumab, brodalumab, certolizumab pegol, etanercept, golimumab, guselkumab, ixekizumab, risankizumab, secukinumab, tildrakizumab, ustekinumab or apremilast during 2008-2020 in Finland or Sweden. The main analysis evaluated persistence (based on duration of continuous treatment) and compared rates of treatment discontinuation using guselkumab as reference drug, during 2018-2020 in Finland. Treatment discontinuation was assessed by survival analysis of the time to first drug discontinuation, including switching to other study drugs. Due to limited sample size (n < 20), certain biologics (abatacept, brodalumab, certolizumab pegol, etanercept, golimumab, risankizumab and tildrakizumab) were excluded from the persistence analysis. RESULTS In Finland, 709 patients fulfilled the inclusion criteria during 2018-2020 for the main analysis. The highest persistence was observed for guselkumab and ustekinumab with 90 and 85% of treated patients, respectively, continuing treatment for ≥1 year. Comparable results were observed in the expanded cohort analysis (index starting in 2008; 2745 bio-naïve patients in Finland and 10,970 in Sweden). Furthermore, patients treated with guselkumab in Finland showed lower treatment discontinuation rates compared to other study drugs. CONCLUSION Guselkumab and ustekinumab demonstrated high persistence as measured by continued treatment for at least 1 year. Furthermore, these treatments demonstrated lower rates of discontinuation compared to other study drugs included in the analysis. Understanding the balance between efficacy and feasibility in treatment decisions is crucial, as feasibility may impact persistency outcomes and potentially increase persistency rates.
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Menzies AM, Lo SN, Saw RPM, Gonzalez M, Ch'ng S, Nieweg OE, Shannon KF, Ferguson PM, Lee J, Emmett L, Kapoor R, Rawson RV, Stretch JR, Thompson JF, Spillane AJ, Rizos H, Scolyer RA, Long GV. Five-year analysis of neoadjuvant dabrafenib and trametinib for stage III melanoma. Ann Oncol 2024; 35:739-746. [PMID: 38754780 DOI: 10.1016/j.annonc.2024.05.002] [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: 03/11/2024] [Accepted: 05/07/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Neoadjuvant dabrafenib plus trametinib has a high pathological response rate and impressive short-term survival in patients with resectable stage III melanoma. We report 5-year outcomes from the phase II NeoCombi trial. PATIENTS AND METHODS NeoCombi (NCT01972347) was a single-arm, open-label, single-centre, phase II trial. Eligible patients were adults (aged ≥18 years) with histologically confirmed, resectable, RECIST-measurable, American Joint Committee on Cancer seventh edition clinical stage IIIB-C BRAF V600E/K-mutant melanoma and Eastern Cooperative Oncology Group performance status ≤1. Patients received 52 weeks of treatment with dabrafenib 150 mg (orally twice per day) plus trametinib 2 mg (orally once per day), with complete resection of the pre-therapy tumour bed at week 12. RESULTS Between 20 August 2014 and 19 April 2017, 35 patients were enrolled. At data cut-off (17 August 2021), the median follow-up was 60 months [95% confidence interval (CI) 56-72 months]. Overall, 21 of 35 (60%) patients recurred, including 12 (57%) with first recurrence in locoregional sites (followed by later distant recurrence in 6) and 9 (43%) with first recurrence in distant sites, including 3 in the brain. Most recurrences occurred within 2 years, with no recurrences beyond 3 years. At 5 years, recurrence-free survival (RFS) was 40% (95% CI 27% to 60%), distant metastasis-free survival (DMFS) was 57% (95% CI 42% to 76%), and overall survival was 80% (95% CI 67% to 94%). Five-year survival outcomes were stratified by pathological response: RFS was 53% with pathological complete response (pCR) versus 28% with non-pCR (P = 0.087), DMFS was 59% versus 55% (P = 0.647), and overall survival was 88% versus 71% (P = 0.205), respectively. CONCLUSIONS Neoadjuvant dabrafenib plus trametinib has high pathological response rates in clinical stage III melanoma, but low rates of RFS, similar to those achieved with adjuvant targeted therapy alone. Patients with a pCR to dabrafenib plus trametinib still had a high risk of recurrence, unlike that seen with immunotherapy where recurrences are rare.
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Austin A, Anderson AG, Lee J, Vander Steen H, Savard C, Bergmann C, Singh M, Devoe D, Gorrell S, Patten S, Le Grange D, Dimitropoulos G. Efficacy of Eating Disorder Focused Family Therapy for Adolescents With Anorexia Nervosa: A Systematic Review and Meta-Analysis. Int J Eat Disord 2024. [PMID: 39041682 DOI: 10.1002/eat.24252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 05/29/2024] [Accepted: 06/16/2024] [Indexed: 07/24/2024]
Abstract
OBJECTIVE To systematically review and evaluate the efficacy of eating disorder focused family therapy (FT-ED) in comparison to all other forms of psychotherapy for children and adolescents with anorexia nervosa. A secondary aim is to assess the relative efficacy of different variations of FT-ED (e.g., shorter vs. longer dose, parent-focused). METHODS A search with relevant terms was systematically conducted on four databases. Twenty-three publications across 18 randomized controlled trials met inclusion criteria. Outcomes of interest included variables related to weight, eating psychopathology, and remission status. Study quality was assessed, and data were extracted by two independent researchers. RESULTS Adolescents receiving FT-ED gained significantly more weight by the end of treatment in comparison to those receiving individual psychotherapy. FT-ED that was delivered just to parents or to parents and child separately offered preferable weight outcomes and rates of recovery at the end of treatment in comparison to conjoint FT-ED. No other outcomes tested in the meta-analysis were statistically significant at the end of treatment or follow-up. DISCUSSION Currently available data suggest the use of FT-ED in its conjoint or separated/parent focused format is the best outpatient treatment option for adolescents with anorexia nervosa when immediate weight gain is paramount. The variability of outcome measurement, including the tools used and timepoints chosen, limit comparison among no more than a handful of studies. The field would benefit from the standardization of measurement and reporting guidelines for future clinical trials. TRIAL REGISTRATION PROSPERO number: CRD42023396263.
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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, 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, Thomas L, Vanden Bemden M, Vander Velde C, Vanlaer P, De Coen M, Dobur D, Hong Y, Knolle J, Lambrecht L, Mestdach G, Amarilo KM, 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, Jain S, Lemaitre V, Lidrych J, Mastrapasqua P, Tran TT, Wertz S, Alves GA, Coelho E, Hensel C, De Oliveira TM, Moraes A, Teles PR, Soeiro M, Júnior WLA, Pereira MAG, Filho MBF, Malbouisson HB, Carvalho W, Chinellato J, Da Costa EM, Da Silveira GG, De Jesus Damiao D, De Souza SF, De Souza RG, Martins J, Herrera CM, Mundim L, Nogima H, Pinheiro JP, Santoro A, Sznajder A, Thiel M, Pereira AV, 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, Jaffel K, Lu N, Bauer G, Gao X, Lin Z, Lu C, Xiao M, Avila C, Trujillo DAB, Cabrera A, Florez C, Fraga J, Vega JAR, Guisao JM, Ramirez F, Rodriguez M, Alvarez JDR, Giljanovic D, Godinovic N, Lelas D, Sculac A, Kovac M, Sculac T, Bargassa P, Brigljevic V, Chitroda BK, Ferencek D, Jakovcic K, Mishra S, Starodumov A, Susa T, Attikis A, Christoforou K, Hadjiagapiou A, Konstantinou S, Mousa J, Nicolaou C, Paizanos L, Ptochos F, Razis PA, Rykaczewski H, Saka H, Stepennov A, Finger M, Finger M, Kveton A, Ayala E, Jarrin EC, Abdalla H, Assran Y, Al-Mashad MA, 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, de Monchenault GH, Lohezic V, Malcles J, Orlandi F, Portales L, Rander J, Rosowsky A, Sahin MÖ, Savoy-Navarro A, Simkina P, Titov M, Tornago M, Beaudette F, Perraguin AB, 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, Motta J, Nguyen M, Ochando C, Salerno R, Sauvan JB, Sirois Y, Tarabini A, Vernazza E, Zabi A, Zghiche A, Agram JL, Andrea J, Apparu D, Bloch D, Brom JM, Chabert EC, Collard C, Falke S, Goerlach U, Grimault C, Haeberle R, Bihan ACL, Meena M, Saha G, Sessini MA, Van Hove P, 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, 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, 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, Sarkar U, Sarkisovi V, Schmidt A, Sharma A, Spah JL, Stein A, Da Silva De Araujo FT, Wiedenbeck S, Zaleski S, Dziwok C, Flügge G, Ahmad WH, Kress T, Nowack A, Pooth O, Stahl A, Ziemons T, Zotz A, Petersen HA, Martin MA, Alimena J, Amoroso S, An Y, Baxter S, Bayatmakou M, Gonzalez HB, Behnke O, Belvedere A, Bhattacharya S, Blekman F, Borras K, Campbell A, Cardini A, Cheng C, Colombina F, Rodríguez SC, Silva GC, De Silva M, Eckerlin G, Eckstein D, Banos LIE, Filatov O, Gallo E, Geiser A, Giraldi A, Guglielmi V, Guthoff M, Hinzmann A, Jafari 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, Mussgiller A, Nair LP, Nürnberg A, Otarid Y, Park J, Adán DP, Ranken E, Raspereza A, Rastorguev D, Lopes BR, Rübenach J, Saggio A, Scham M, Schnake S, Schütze P, Schwanenberger C, Selivanova D, Sharko K, Shchedrolosiev M, Ricardo RES, Stafford D, Vazzoler F, Barroso AV, Walsh R, 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, 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, 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, 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, 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, Kioseoglou PGK, Manthos N, Papadopoulos I, Strologas J, Bartók M, Hajdu C, Horvath D, Márton K, Rádl AJ, Sikler F, Veszpremi V, Csanád M, Farkas K, Gadallah MMA, Kadlecsik Á, Major P, Mandal K, Pásztor G, Veres GI, Raics P, Ujvari B, Zilizi G, Bencze G, Czellar S, Molnar J, Szillasi Z, Csorgo T, 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, Saumya S, Baradia S, Barman S, Bhattacharya S, Dutta S, Dutta S, Sarkar S, Ameen MM, Behera PK, Behera SC, Chatterjee S, Jana P, Kalbhor P, Komaragiri JR, Kumar D, Pujahari PR, Saha NR, Sharma A, Sikdar AK, Verma S, Dugad S, Kumar M, Mohanty GB, Suryadevara P, Bala A, Banerjee S, Chatterjee RM, Dewanjee RK, 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, 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, Khazaie E, Zeinali M, Bashiri S, Chenarani S, Etesami SM, Khakzad M, Najafabadi MM, Tizchang S, Grunewald M, Abbrescia M, Aly R, Colaleo A, Creanza D, D’Anzi B, De Filippis N, De Palma M, Florio AD, Elmetenawee W, Fiore L, Iaselli G, Louka M, Maggi G, Maggi M, Margjeka I, Mastrapasqua V, My S, Nuzzo S, Pellecchia A, Pompili A, Pugliese G, Radogna R, Ramirez-Sanchez G, Ramos D, Ranieri A, Silvestris L, Simone FM, Sözbilir Ü, Stamerra A, Venditti R, Verwilligen P, Zaza A, Abbiendi G, Battilana C, Bonacorsi D, Borgonovi L, 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, Lunerti L, Marcellini S, Masetti G, Navarria FL, Perrotta A, Primavera F, Rossi AM, Rovelli T, Siroli GP, Costa S, Mattia AD, Potenza R, Tricomi A, Tuve C, 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, 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, Palluotto S, Pedrini D, 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, Rossi B, Sciacca C, Ardino R, Azzi P, Bacchetta N, Benettoni M, Bisello D, Bortignon P, Bortolato G, Bragagnolo A, Bulla ACM, Carlin R, Checchia P, Dorigo T, Gasparini U, Lusiani E, Margoni M, Marini F, Meneguzzo AT, Migliorini M, Pazzini J, Ronchese P, Rossin R, Simonetto F, Strong G, Tosi M, Triossi A, Ventura S, Zanetti M, Zotto P, Zucchetta A, Zumerle G, Zeid SA, Aimè C, Braghieri A, Calzaferri S, Fiorina D, Montagna P, Re V, Riccardi C, Salvini P, Vai I, Vitulo P, Ajmal S, Bilei GM, Ciangottini D, Fanò L, Magherini M, 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, 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, Del Re D, Marco ED, 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, White R, 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, Choi J, 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, Dreimanis K, Gaile A, Pikurs G, Potrebko A, Seidel M, Strautnieks NR, Ambrozas M, Juodagalvis A, Rinkevicius A, Tamulaitis G, Norjoharuddeen NB, Yusuff I, Zolkapli Z, Benitez JF, Hernandez AC, Acosta HAE, Maríñez LGG, Coello ML, Quijada JAM, Sehrawat A, Palomo LV, Ayala G, Castilla-Valdez H, Ledesma HC, De La Cruz-Burelo E, La Cruz IHD, Lopez-Fernandez R, Herrera CAM, Hernández AS, Barrera CO, García MR, Bautista I, Pedraza I, Ibarguen HAS, Estrada CU, 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, Da Cruz E Silva CB, 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, Rekovic V, Aguilar-Benitez M, Maestre JA, Bedoya CF, Carretero OM, Cepeda M, Cerrada M, Colino N, De La Cruz B, Peris AD, Del Valle AE, Del Val DF, Ramos JPF, Flix J, Fouz MC, Lopez OG, Lopez SG, Hernandez JM, Josa MI, Moran D, Perez CMM, Tobar ÁN, Dengra CP, Yzquierdo APC, Pelayo JP, Redondo I, Ferrero DDR, Romero L, Navas SS, Gómez LU, Escobar JV, Willmott C, de Trocóniz JF, Gonzalez BA, Cuevas J, Menendez JF, Folgueras S, Caballero IG, Fernández JRG, Leguina P, Cortezon EP, Álvarez CR, Bouza VR, Rodríguez AS, Trapote A, Villalba CV, Vischia P, Bhowmik S, Fernández SB, Cifuentes JAB, Cabrillo IJ, Calderon A, Campderros JD, Fernandez M, Gomez G, García CL, Ruiz RL, Rivero CM, del Arbol PMR, Matorras F, Cuevas PM, Ramos EN, Gomez JP, Scodellaro L, Vila I, Garcia JMV, Jayananda MK, Kailasapathy B, Sonnadara DUJ, Wickramarathna DDC, Dharmaratna WGD, Liyanage K, Perera N, Wickramage N, Abbaneo D, Amendola C, Auffray E, Auzinger G, Baechler J, Barney D, Martínez AB, Bianco M, Bilin B, Anuar AAB, Bocci A, Botta C, Brondolin E, Caillol C, Cerminara G, Chernyavskaya N, d’Enterria D, Dabrowski A, David A, De Roeck A, Defranchis MM, Deile M, Dobson M, Forthomme L, Franzoni G, Funk W, Giani S, Gigi D, Gill K, Glege F, Gouskos L, Haranko M, Hegeman J, Huber B, Innocente V, James T, Janot P, Kaluzinska O, Laurila S, Lecoq P, Leutgeb E, Lourenço C, Malgeri L, Mannelli M, Marini AC, Matthewman M, Mehta A, Meijers F, Mersi S, Meschi E, 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Boyaryntsev A, Grynyov B, Levchuk L, Anthony D, Brooke JJ, Bundock A, Bury F, Clement E, Cussans D, Flacher H, Glowacki M, Goldstein J, Heath HF, Holmberg ML, Kreczko L, Paramesvaran S, Robertshaw L, Nasr-Storey SSE, Smith VJ, Stylianou N, Pass KW, Ball AH, Bell KW, Belyaev A, Brew C, Brown RM, Cockerill DJA, Cooke C, Ellis KV, Harder K, Harper S, Linacre J, Manolopoulos K, Newbold DM, Olaiya E, Petyt D, Reis T, Sahasransu AR, Salvi G, Schuh T, Shepherd-Themistocleous CH, Tomalin IR, Williams T, Bainbridge R, Bloch P, Brown CE, Buchmuller O, Cacchio V, Montoya CAC, Chahal GS, Colling D, Dancu JS, Das I, Dauncey P, Davies G, Davies J, Della Negra M, Fayer S, Fedi G, Hall G, Hassanshahi MH, Howard A, Iles G, Knight M, Langford J, Holgado JL, Lyons L, Magnan AM, Malik S, Mieskolainen M, Nash J, Pesaresi M, Radburn-Smith BC, Richards A, Rose A, Savva K, Seez C, Shukla R, Tapper A, Uchida K, Uttley GP, Vage LH, Virdee T, Vojinovic M, Wardle N, Winterbottom D, Coldham K, Cole JE, Khan A, Kyberd P, Reid ID, Abdullin S, Brinkerhoff A, Caraway B, Collins E, Dittmann J, Hatakeyama K, Hiltbrand J, McMaster B, Sawant S, Sutantawibul C, Wilson J, Bartek R, Dominguez A, Escamilla CH, Simsek AE, Uniyal R, Hernandez AMV, Bam B, Chudasama R, Cooper SI, Gleyzer SV, Perez CU, Rumerio P, Usai E, Yi R, Akpinar A, Arcaro D, Cosby C, Demiragli Z, Erice C, Fangmeier C, Madrazo CF, Fontanesi E, Gastler D, Golf F, Jeon S, Reed I, Rohlf J, Salyer K, Sperka D, Spitzbart D, Suarez I, Tsatsos A, Yuan S, Zecchinelli AG, Benelli G, Coubez X, Cutts D, Hadley M, Heintz U, Hogan JM, Kwon T, Landsberg G, Lau KT, Li D, Luo J, Mondal S, Narain M, Pervan N, Sagir S, Simpson F, Stamenkovic M, Venkatasubramanian N, Yan X, Zhang W, Abbott S, Bonilla J, Brainerd C, Breedon R, Cai H, De La Barca Sanchez MC, Chertok M, Citron M, Conway J, Cox PT, Erbacher R, Jensen F, Kukral O, Mocellin G, Mulhearn M, Pellett D, Wei W, Yao Y, Zhang F, Bachtis M, Cousins R, Datta A, Avila GF, Hauser J, Ignatenko M, Iqbal MA, Lam T, Manca E, Del Prado AN, Saltzberg D, Valuev V, Clare R, Gary JW, Gordon M, Hanson G, Si W, Wimpenny S, Branson JG, Cittolin S, Cooperstein S, Diaz D, Duarte J, Giannini L, Guiang J, Kansal R, Krutelyov V, Lee R, Letts J, Masciovecchio M, Mokhtar F, Mukherjee S, Pieri M, Quinnan M, Narayanan BVS, Sharma V, Tadel M, Vourliotis E, Würthwein F, Xiang Y, Yagil A, Barzdukas A, Brennan L, Campagnari C, Incandela J, Kim J, Li AJ, Masterson P, Mei H, Richman J, Sarica U, Schmitz R, Setti F, Sheplock J, Stuart D, Vámi TÁ, Wang S, Bornheim A, Cerri O, Latorre A, Mao J, Newman HB, Gutiérrez GR, Spiropulu M, Vlimant JR, Wang C, Xie S, Zhu RY, Alison J, An S, Andrews MB, Bryant P, Cremonesi M, Dutta V, Ferguson T, Harilal A, Liu C, Mudholkar T, Murthy S, Palit P, Paulini M, Roberts A, Sanchez A, Terrill W, Cumalat JP, Ford WT, Hart A, Hassani A, Karathanasis G, Manganelli N, Perloff A, Savard C, Schonbeck N, Stenson K, Ulmer KA, Wagner SR, Zipper N, Zuolo D, Alexander J, Bright-Thonney S, Chen X, Cranshaw DJ, Fan J, Fan X, Hogan S, Kotamnives P, Monroy J, Oshiro M, Patterson JR, 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, Whitbeck A, Zoi I, Aruta C, Avery P, Bourilkov D, Cadamuro L, Chang P, Cherepanov V, Field RD, Koenig E, Kolosova M, Konigsberg J, Korytov A, Matchev K, Menendez N, Mitselmakher G, Mohrman K, Madhu AM, Rawal N, Rosenzweig D, Rosenzweig S, Wang J, Adams T, Kadhim AA, Askew A, Bower S, Habibullah R, Hagopian V, Hashmi R, Kim RS, Kim S, Kolberg T, Martinez G, Prosper H, Prova PR, Wulansatiti M, Yohay R, Zhang J, Alsufyani B, Baarmand MM, Butalla S, Das S, Elkafrawy T, Hohlmann M, Verma RK, Rahmani M, Yanes E, Adams MR, Baty A, Bennett C, Cavanaugh R, Franco RE, Evdokimov O, Gerber CE, Hawksworth M, Hingrajiya A, Hofman DJ, Lee JH, Lemos DS, Merrit AH, Mills C, Nanda S, Oh G, Ozek B, Pilipovic D, Pradhan R, Prifti E, Roy T, Rudrabhatla S, Tonjes MB, Varelas N, Wadud MA, 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, Abreu A, Alcerro LFA, Anguiano J, Baringer P, Bean A, Flowers Z, Grove D, King J, Krintiras G, Lazarovits M, Mahieu CL, 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, Gurunadha RG, Ivanov A, Kaadze K, Kalogeropoulos A, Maravin Y, Natoli J, Roy D, Sorrentino G, Rebassoo F, Wright D, Baden A, Belloni 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, Cali IA, D’Alfonso M, Eysermans J, Freer C, Gomez-Ceballos G, Goncharov M, Grosso G, Harris P, Hoang D, Kovalskyi D, Krupa J, Lavezzo L, Lee YJ, Long K, Novak A, Paus C, Rankin D, Roland C, Roland G, Rothman S, Stephans GSF, 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, Cremaldi LM, Bloom K, Claes DR, Haza G, Hossain J, Joo C, Kravchenko I, Siado JE, Tabb W, Vagnerini A, Wightman A, Yan F, Yu D, Bandyopadhyay H, Hay L, Iashvili I, Kharchilava A, Morris M, Nguyen D, Rappoccio S, Sfar HR, Williams A, Alverson G, Barberis E, Dervan J, Haddad Y, Han Y, Krishna A, Li J, Lu M, Madigan G, Mccarthy R, Morse DM, Nguyen V, Orimoto T, Parker A, Skinnari L, Wood D, Bueghly J, Chen Z, Dittmer S, Hahn KA, Liu Y, Miao Y, Monk DG, Schmitt MH, Taliercio A, Velasco M, Agarwal G, Band R, Bucci R, Castells S, Das A, Goldouzian R, Hildreth M, Ho KW, Anampa KH, Ivanov T, 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, Piccinelli A, Ruchti R, Townsend A, Wan Y, Wayne M, Yockey H, Zarucki M, Zygala L, Basnet A, Bylsma B, Carrigan M, Durkin LS, Hill C, Joyce M, Ornelas MN, Wei K, Winer BL, Yates BR, Addesa FM, Bouchamaoui H, Das P, Dezoort G, Elmer P, Frankenthal A, Greenberg B, Haubrich N, Kopp G, Kwan S, Lange D, Loeliger A, Marlow D, Ojalvo I, Olsen J, Shevelev A, Stickland D, Tully C, Malik S, Bakshi AS, Barnes VE, Chandra S, Chawla R, Gu A, Gutay L, Jones M, Jung AW, Kondratyev D, Koshy AM, Liu M, Negro G, Neumeister N, Paspalaki G, Piperov S, Scheurer V, Schulte JF, Stojanovic M, Thieman J, Virdi AK, Wang F, Xie W, Dolen J, Parashar N, Pathak A, Acosta D, Carnahan T, Ecklund KM, Manteca PJF, Freed S, Gardner P, Geurts FJM, Li W, Colin OM, Padley BP, Redjimi R, Rotter J, Yigitbasi E, Zhang Y, Bodek A, de Barbaro P, Demina R, Dulemba JL, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Parmar N, Parygin P, Popova E, Taus R, Goulianos K, Chiarito B, Chou JP, Clark SV, Gadkari D, Gershtein Y, Halkiadakis E, Heindl M, Houghton C, Jaroslawski D, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Routray H, Saha P, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Vora J, Wang H, Acharya H, Ally D, Delannoy AG, Fiorendi S, Higginbotham S, Holmes T, Kanuganti AR, Karunarathna N, Lee L, Nibigira E, Spanier S, Aebi D, Ahmad M, Bouhali O, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo 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, Peltola T, Volobouev I, Appelt E, Chen Y, 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, Neu C, Lara CEP, Bhattacharya S, 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, Pétré L, 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, Azhgirey I, Babaev A, Belyaev A, Blinov V, Boos E, Borshch V, Budkouski D, Bunichev V, Chadeeva M, Chekhovsky V, Chistov R, 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, 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, Perfilov M, Petrushanko S, Polikarpov S, Popov V, Radchenko O, Ryutin R, Savina M, Savrin V, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Slabospitskii S, Smirnov V, 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 Z Z and Z H production in the b b ¯ b b ¯ final state using proton-proton collisions at s = 13 Te V. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2024; 84:712. [PMID: 39072493 PMCID: PMC11271353 DOI: 10.1140/epjc/s10052-024-13021-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Accepted: 06/11/2024] [Indexed: 07/30/2024]
Abstract
A search forZ Z andZ H production in theb b ¯ b b ¯ final state is presented, where H is the standard model (SM) Higgs boson. The search uses an event sample of proton-proton collisions corresponding to an integrated luminosity of 133fb - 1 collected at a center-of-mass energy of 13Te V with the CMS detector at the CERN LHC. The analysis introduces several novel techniques for deriving and validating a multi-dimensional background model based on control samples in data. A multiclass multivariate classifier customized for theb b ¯ b b ¯ final state is developed to derive the background model and extract the signal. The data are found to be consistent, within uncertainties, with the SM predictions. The observed (expected) upper limits at 95% confidence level are found to be 3.8 (3.8) and 5.0 (2.9) times the SM prediction for theZ Z andZ H production cross sections, respectively.
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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
- 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
- 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 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, 101115353, 101002207 (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 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 (Hungary);
- Council of Scientific and Industrial Research, India
- Latvian Council of Science
- Ministy of Education and Science, project no. 2022/WK/14
- National Science Center, Opus 2021/41/B/ST2/01369 and 2021/43/B/ST2/01552
- Fundação para a Ciência e a Tecnologia, CEECIND/01334/2018
- National Priorities Research Program by Qatar National Research Fund
- Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2017-0765 and projects PID2020-113705RB, PID2020-113304RB, PID2020-116262RB and PID2020-113341RB-I00
- Programa Severo Ochoa del Principado de Asturias
- 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, Università di Bari, Politecnico di Bari, Bari
- INFN Sezione di Pisa, Università di Pisa, Scuola Normale Superiore di Pisa, Pisa
- INFN Sezione di Roma, Sapienza Università di Roma, Rome
- INFN Sezione di Trieste, Università di Trieste, Trieste
- Laboratori Nazionali di Legnaro, Legnaro
- Kyungpook National University, Daegu
- National Centre for Physics, Quaid-I-Azam University, Islamabad
- Akademickie Centrum Komputerowe Cyfronet AGH, Krakow
- National Centre for Nuclear Research, Swierk
- Laboratório de Instrumentação e Física Experimental de Partículas, Lisboa
- Korea Institute of Science and Technology Information (KISTI), Daejeon
- Centro de Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT), Madrid
- Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander
- Port d’Informació Científica, Bellaterra
- CERN, European Organization for Nuclear Research, Geneva
- CSCS - Swiss National Supercomputing Centre, Lugano
- 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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Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, Damanakis K, Dragicevic M, Escalante Del Valle A, Hussain PS, Jeitler M, Krammer N, Lechner L, Liko D, Mikulec I, Paulitsch P, Pitters FM, Schieck J, Schöfbeck R, Schwarz D, Templ S, Waltenberger W, Wulz CE, Darwish MR, Janssen T, Kello T, Rejeb Sfar H, Van Mechelen P, Bols ES, D'Hondt J, De Moor A, Delcourt M, El Faham H, Lowette S, Moortgat S, Morton A, Müller D, Sahasransu AR, Tavernier S, Van Doninck W, Vannerom D, Clerbaux B, De Lentdecker G, Favart L, Hohov D, Jaramillo J, Lee K, Mahdavikhorrami M, Makarenko I, Malara A, Paredes S, Pétré L, Postiau N, Thomas L, Vanden Bemden M, Vander Velde C, Vanlaer P, Dobur D, Knolle J, Lambrecht L, Mestdach G, Niedziela M, Rendón C, Roskas C, Samalan A, Skovpen K, Tytgat M, Van Den Bossche N, Vermassen B, Wezenbeek L, Benecke A, Bruno G, Bury F, Caputo C, David P, Delaere C, Donertas IS, Giammanco A, Jaffel K, Jain S, Lemaitre V, Mondal K, Taliercio A, Tran TT, Vischia P, Wertz S, 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Sun X, Wang D, Xiao J, Yang H, Lu M, You Z, Gao X, Leggat D, Okawa H, Zhang Y, Lin Z, Lu C, Xiao M, Avila C, Barbosa Trujillo DA, Cabrera A, Florez C, Fraga J, Mejia Guisao J, Ramirez F, Rodriguez M, Ruiz Alvarez JD, Giljanovic D, Godinovic N, Lelas D, Puljak I, Antunovic Z, Kovac M, Sculac T, Brigljevic V, Chitroda BK, Ferencek D, Mishra S, Roguljic M, Starodumov A, Susa T, Attikis A, Christoforou K, Kolosova M, Konstantinou S, Mousa J, Nicolaou C, Ptochos F, Razis PA, Rykaczewski H, Saka H, Stepennov A, Finger M, Finger M, Kveton A, Ayala E, Carrera Jarrin E, Abdelalim AA, Salama E, Mahmoud MA, Mohammed Y, Bhowmik S, Dewanjee RK, Ehataht K, Kadastik M, Lange T, Nandan S, Nielsen C, Pata J, Raidal M, Tani L, Veelken C, Eerola P, Kirschenmann H, Osterberg K, Voutilainen M, Bharthuar S, Brücken E, Garcia F, Havukainen J, Kim MS, Kinnunen R, Lampén T, Lassila-Perini K, Lehti S, Lindén T, Lotti M, Martikainen L, Myllymäki M, Ott J, Rantanen MM, Siikonen H, Tuominen E, Tuominiemi J, Luukka 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Toriashvili T, Tsamalaidze Z, Botta V, Feld L, Klein K, Lipinski M, Meuser D, Pauls A, Röwert N, Teroerde M, Diekmann S, Dodonova A, Eich N, Eliseev D, Erdmann M, Fackeldey P, Fasanella D, Fischer B, Hebbeker T, Hoepfner K, Ivone F, Lee MY, Mastrolorenzo L, Merschmeyer M, Meyer A, Mondal S, Mukherjee S, Noll D, Novak A, Nowotny F, Pozdnyakov A, Rath Y, Redjeb W, Reithler H, Schmidt A, Schuler SC, Sharma A, Vigilante L, Wiedenbeck S, Zaleski S, Dziwok C, Flügge G, Haj Ahmad W, Hlushchenko O, Kress T, Nowack A, Pooth O, Stahl A, Ziemons T, Zotz A, Aarup Petersen H, Aldaya Martin M, Asmuss P, Baxter S, Bayatmakou M, Behnke O, Bermúdez Martínez A, Bhattacharya S, Bin Anuar AA, Blekman F, Borras K, Brunner D, Campbell A, Cardini A, Cheng C, Colombina F, Consuegra Rodríguez S, Correia Silva G, De Silva M, Didukh L, Eckerlin G, Eckstein D, Estevez Banos LI, Filatov O, Gallo E, Geiser A, Giraldi A, Greau G, Grohsjean A, Guglielmi V, Guthoff M, Jafari A, Jomhari NZ, Kaech B, Kasem A, Kasemann M, Kaveh H, Kleinwort C, Kogler R, Komm M, Krücker D, Lange W, Leyva Pernia D, Lipka K, Lohmann W, Mankel R, Melzer-Pellmann IA, Mendizabal Morentin M, Metwally J, Meyer AB, Milella G, Mormile M, Mussgiller A, Nürnberg A, Otarid Y, Pérez Adán D, Raspereza A, Ribeiro Lopes B, Rübenach J, Saggio A, Saibel A, Savitskyi M, Scham M, Scheurer V, Schnake S, Schütze P, Schwanenberger C, Shchedrolosiev M, Sosa Ricardo RE, Stafford D, Tonon N, Van De Klundert M, Vazzoler F, Ventura Barroso A, Walsh R, Walter D, Wang Q, Wen Y, Wichmann K, Wiens L, Wissing C, Wuchterl S, Yang Y, Zimermmane Castro Santos A, Albrecht A, Albrecht S, Antonello M, Bein S, Benato L, Bonanomi M, Connor P, De Leo K, Eich M, El Morabit K, Feindt F, Fröhlich A, Garbers C, Garutti E, Hajheidari M, Haller J, Hinzmann A, Jabusch HR, Kasieczka G, 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, Rieger M, Rieger O, Savoiu D, Schleper P, Schröder M, Schwandt J, Sommerhalder M, Stadie H, Steinbrück G, Tews A, Wolf M, Brommer S, Burkart M, Butz E, Caspart R, Chwalek T, Dierlamm A, Droll A, Faltermann N, Giffels M, Gosewisch JO, Gottmann A, Hartmann F, Horzela M, Husemann U, Klute M, Koppenhöfer R, Maier S, Mitra S, Müller T, Neukum M, Oh M, Quast G, Rabbertz K, Rauser J, Schnepf M, Seith D, Shvetsov I, Simonis HJ, Trevisani N, Ulrich R, van der Linden J, Von Cube RF, Wassmer M, Wieland S, Wolf R, Wozniewski S, Wunsch S, Zuo X, Anagnostou G, Assiouras P, Daskalakis G, Kyriakis A, Stakia A, Diamantopoulou M, Karasavvas D, Kontaxakis P, Manousakis-Katsikakis A, Panagiotou A, Papavergou I, Saoulidou N, Theofilatos K, Tziaferi E, Vellidis K, Zisopoulos I, Bakas G, Chatzistavrou T, Kousouris K, Papakrivopoulos I, Tsipolitis G, Zacharopoulou A, Adamidis K, Bestintzanos I, Evangelou I, Foudas C, Gianneios P, Kamtsikis C, Katsoulis P, Kokkas P, Kosmoglou Kioseoglou PG, 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Strong G, Tosi M, 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, Asenov P, Bilei GM, Ciangottini D, Fanò L, Magherini M, Mantovani G, Mariani V, Menichelli M, Moscatelli F, Piccinelli A, Presilla M, Rossi A, Santocchia A, Spiga D, Tedeschi T, Azzurri P, Bagliesi G, Bertacchi V, Bhattacharya R, Bianchini L, Boccali T, Bossini E, Bruschini D, Castaldi R, Ciocci MA, D'Amante V, Dell'Orso R, Di Domenico MR, Donato S, Giassi A, Ligabue F, Mandorli G, Matos Figueiredo D, Messineo A, Musich M, Palla F, Parolia S, Ramirez-Sanchez G, Rizzi A, Rolandi G, Roy Chowdhury S, Sarkar T, Scribano A, Shafiei N, Spagnolo P, Tenchini R, Tonelli G, Turini N, Venturi A, Verdini PG, Barria P, Campana M, Cavallari F, Del Re D, Di Marco E, Diemoz M, Longo E, Meridiani P, Organtini G, Pandolfi F, Paramatti R, Quaranta C, Rahatlou S, Rovelli C, Santanastasio F, Soffi L, Tramontano R, Amapane N, Arcidiacono R, Argiro S, Arneodo M, Bartosik N, Bellan R, Bellora A, Biino C, Cartiglia N, Costa M, Covarelli R, Demaria N, Grippo M, Kiani B, Legger F, Mariotti C, Maselli S, Mecca A, Migliore E, Monteil E, Monteno M, Obertino MM, Ortona G, Pacher L, Pastrone N, Pelliccioni M, Ruspa M, Shchelina K, Siviero F, Sola V, Solano A, Soldi D, Staiano A, Tornago M, Trocino D, Umoret G, Vagnerini A, Belforte S, Candelise V, Casarsa M, Cossutti F, Da Rold A, Della Ricca G, Sorrentino G, Dogra S, Huh C, Kim B, Kim DH, Kim GN, Kim J, Lee J, Lee SW, Moon CS, Oh YD, Pak SI, Ryu MS, Sekmen S, Yang YC, Kim H, Moon DH, Asilar E, Kim TJ, Park J, Choi S, Han S, Hong B, Lee K, Lee KS, Lee S, Lim J, Park J, Park SK, Yoo J, Goh J, Kim HS, Kim Y, Lee S, Almond J, Bhyun JH, Choi J, Jeon S, Kim J, Kim JS, Ko S, Kwon H, Lee H, Lee S, Oh BH, Oh SB, Seo H, Yang UK, Yoon I, Jang W, Kang DY, Kang Y, Kim D, Kim S, Ko B, Lee JSH, Lee Y, Merlin JA, Park IC, Roh Y, Song D, Watson IJ, Yang S, Ha S, Yoo HD, Choi M, Kim 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Pisano M, Seixas J, Varela J, Adzic P, Dordevic M, Milenovic P, Milosevic J, Aguilar-Benitez M, Alcaraz Maestre J, Álvarez Fernández A, Barrio Luna M, Bedoya CF, Carrillo Montoya CA, Cepeda M, Cerrada M, Colino N, De La Cruz B, Delgado Peris A, Fernández Del Val D, Fernández Ramos JP, Flix J, Fouz MC, Gonzalez Lopez O, Goy Lopez S, Hernandez JM, Josa MI, León Holgado J, Moran D, Perez Dengra C, Pérez-Calero Yzquierdo A, Puerta Pelayo J, Redondo I, Redondo Ferrero DD, Romero L, Sánchez Navas S, Sastre J, Urda Gómez L, Vazquez Escobar J, Willmott C, de Trocóniz JF, Alvarez Gonzalez B, Cuevas J, Fernandez Menendez J, Folgueras S, Gonzalez Caballero I, González Fernández JR, Palencia Cortezon E, Ramón Álvarez C, Rodríguez Bouza V, Soto Rodríguez A, Trapote A, Vico Villalba C, Brochero Cifuentes JA, Cabrillo IJ, Calderon A, Duarte Campderros J, Fernandez M, Fernandez Madrazo C, García Alonso A, Gomez G, Lasaosa García C, Martinez Rivero C, Martinez Ruiz Del Arbol P, Matorras F, Matorras Cuevas P, Piedra Gomez J, Prieels C, Ruiz-Jimeno A, Scodellaro L, Vila I, Vizan Garcia JM, Jayananda MK, Kailasapathy B, Sonnadara DUJ, Wickramarathna DDC, Dharmaratna WGD, Liyanage K, Perera N, Wickramage N, Abbaneo D, Alimena J, Auffray E, Auzinger G, Baechler J, Baillon P, Barney D, Bendavid J, Bianco M, Bilin B, Bocci A, Brondolin E, Caillol C, Camporesi T, Cerminara G, Chernyavskaya N, Chhibra SS, Choudhury S, Cipriani M, Cristella L, d'Enterria D, Dabrowski A, David A, De Roeck A, Defranchis MM, Deile M, Dobson M, Dünser M, Dupont N, Fallavollita F, Florent A, Forthomme L, Franzoni G, Funk W, Ghosh S, Giani S, Gigi D, Gill K, Glege F, Gouskos L, Govorkova E, Haranko M, Hegeman J, Innocente V, James T, Janot P, Kaspar J, Kieseler J, Kratochwil N, Laurila S, Lecoq P, Leutgeb E, Lintuluoto A, Lourenço C, Maier B, Malgeri L, Mannelli M, Marini AC, Meijers F, Mersi S, Meschi E, Moortgat F, Mulders M, Orfanelli S, Orsini L, Pantaleo F, Perez E, Peruzzi M, Petrilli A, Petrucciani G, 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Dittmann J, Hatakeyama K, Kanuganti AR, McMaster B, Saunders M, Sawant S, Sutantawibul C, Wilson J, Bartek R, Dominguez A, Uniyal R, Vargas Hernandez AM, Cooper SI, Di Croce D, Gleyzer SV, Henderson C, Perez CU, Rumerio P, West C, Akpinar A, Albert A, Arcaro D, Cosby C, Demiragli Z, Erice C, Fontanesi E, Gastler D, May S, Rohlf J, Salyer K, Sperka D, Spitzbart D, Suarez I, Tsatsos A, Yuan S, Benelli G, Burkle B, Coubez X, Cutts D, Hadley M, Heintz U, Hogan JM, Kwon T, Landsberg G, Lau KT, Li D, Luo J, Narain M, Pervan N, Sagir S, Simpson F, Usai E, Wong WY, Yan X, Yu D, Zhang W, Bonilla J, Brainerd C, Breedon R, Calderon De La Barca Sanchez M, Chertok M, Conway J, Cox PT, Erbacher R, Haza G, Jensen F, Kukral O, Mocellin G, Mulhearn M, Pellett D, Regnery B, Yao Y, Zhang F, Bachtis M, Cousins R, Datta A, Hamilton D, Hauser J, Ignatenko M, Iqbal MA, Lam T, Manca E, Nash WA, Regnard S, Saltzberg D, Stone B, Valuev V, Clare R, Gary JW, Gordon M, Hanson G, Karapostoli G, Long OR, Manganelli N, Si W, Wimpenny S, Branson JG, Chang P, Cittolin S, Cooperstein S, Diaz D, Duarte J, Gerosa R, Giannini L, Guiang J, Kansal R, Krutelyov V, Lee R, Letts J, Masciovecchio M, Mokhtar F, Pieri M, Sathia Narayanan BV, Sharma V, Tadel M, Vourliotis E, Würthwein F, Xiang Y, Yagil A, Amin N, Campagnari C, Citron M, Collura G, Dorsett A, Dutta V, Incandela J, Kilpatrick M, Kim J, Li AJ, Masterson P, Mei H, Oshiro M, Quinnan M, Richman J, Sarica U, Schmitz R, Setti F, Sheplock J, Siddireddy P, Stuart D, Wang S, Bornheim A, Cerri O, Dutta I, Latorre A, Lawhorn JM, Lu N, Mao J, Newman HB, Nguyen TQ, Spiropulu M, Vlimant JR, Wang C, Xie S, Zhu RY, Alison J, An S, Andrews MB, Bryant P, Ferguson T, Harilal A, Liu C, Mudholkar T, Murthy S, Paulini M, Roberts A, Sanchez A, Terrill W, Cumalat JP, Ford WT, Hassani A, Karathanasis G, MacDonald E, Marini F, Patel R, Perloff A, Savard C, Schonbeck N, Stenson K, Ulmer KA, Wagner SR, Zipper N, Alexander J, Bright-Thonney S, Chen X, Cranshaw DJ, Fan J, Fan X, Gadkari D, Hogan S, Monroy J, Patterson JR, Quach D, Reichert J, Reid M, Ryd A, Thom J, Wittich P, Zou R, Albrow M, Alyari M, Apollinari G, Apresyan A, Bauerdick LAT, Berry D, Berryhill J, Bhat PC, Burkett K, Butler JN, Canepa A, Cerati GB, Cheung HWK, Chlebana F, Di Petrillo KF, Dickinson J, Elvira VD, Feng Y, Freeman J, Gandrakota A, Gecse Z, Gray L, Green D, Grünendahl S, Gutsche O, Harris RM, Heller R, Herwig TC, Hirschauer J, Horyn L, Jayatilaka B, Jindariani S, Johnson M, Joshi U, Klijnsma T, Klima B, Kwok KHM, Lammel S, Lincoln D, Lipton R, Liu T, Madrid C, Maeshima K, Mantilla C, Mason D, McBride P, Merkel P, Mrenna S, Nahn S, Ngadiuba J, Noonan D, Papadimitriou V, Pastika N, Pedro K, Pena C, Ravera F, Reinsvold Hall A, Ristori L, Sexton-Kennedy E, Smith N, Soha A, Spiegel L, Strait J, Taylor L, Tkaczyk S, Tran NV, Uplegger L, Vaandering EW, Weber HA, Zoi I, Avery P, Bourilkov D, Cadamuro L, Cherepanov V, Field RD, Guerrero D, Kim M, Koenig E, Konigsberg J, Korytov A, Lo KH, Matchev K, Menendez N, Mitselmakher G, Muthirakalayil Madhu A, Rawal N, Rosenzweig D, Rosenzweig S, Shi K, Wang J, Wu Z, Adams T, Askew A, Habibullah R, Hagopian V, Kolberg T, Martinez G, Prosper H, Schiber C, Viazlo O, Yohay R, Zhang J, Baarmand MM, Butalla S, Elkafrawy T, Hohlmann M, Kumar Verma R, Rahmani M, Yumiceva F, Adams MR, Becerril Gonzalez H, Cavanaugh R, Dittmer S, Evdokimov O, Gerber CE, Hofman DJ, Lemos DS, Merrit AH, Mills C, Oh G, Roy T, Rudrabhatla S, Tonjes MB, Varelas N, Wang X, Ye Z, Yoo J, Alhusseini M, Dilsiz K, Emediato L, Gandrajula RP, Karaman G, Köseyan OK, Merlo JP, Mestvirishvili A, Nachtman J, Neogi O, Ogul H, Onel Y, Penzo A, Snyder C, Tiras E, Amram O, Blumenfeld B, Corcodilos L, Davis J, Gritsan AV, Kyriacou S, Maksimovic P, Roskes J, Sekhar S, Swartz M, Vámi TÁ, Abreu A, Alcerro Alcerro LF, Anguiano J, Baringer P, Bean A, Flowers Z, Isidori T, King J, Krintiras G, Lazarovits M, Le Mahieu C, Lindsey C, Marquez J, Minafra N, Murray M, Nickel M, Rogan C, Royon C, Salvatico R, Sanders S, Smith C, Wang Q, Williams J, Wilson G, Allmond B, Duric S, Ivanov A, Kaadze K, Kim D, Maravin Y, Mitchell T, Modak A, Nam K, Roy D, Rebassoo F, Wright D, Adams E, Baden A, Baron O, Belloni A, Bethani A, Eno SC, Hadley NJ, Jabeen S, Kellogg RG, Koeth T, Lai Y, Lascio S, Mignerey AC, Nabili S, Palmer C, Papageorgakis C, Wang L, Wong K, Abercrombie D, Busza W, Cali IA, Chen Y, D'Alfonso M, Eysermans J, Freer C, Gomez-Ceballos G, Goncharov M, Harris P, Hu M, Kovalskyi D, Krupa J, Lee YJ, Long K, Mironov C, Paus C, Rankin D, Roland C, Roland G, Shi Z, Stephans GSF, Wang J, Wang Z, Wyslouch B, Yang TJ, Chatterjee RM, Crossman B, Evans A, Hiltbrand J, Jain S, Joshi BM, Kapsiak C, Krohn M, Kubota Y, Mans J, Revering M, Rusack R, Saradhy R, Schroeder N, Strobbe N, Wadud MA, Cremaldi LM, Bloom K, Bryson M, Claes DR, Fangmeier C, Finco L, Golf F, Joo C, Kamalieddin R, Kravchenko I, Reed I, Siado JE, Snow GR, Tabb W, Wightman A, Yan F, Zecchinelli AG, Agarwal G, Bandyopadhyay H, Hay L, Iashvili I, Kharchilava A, McLean C, Morris M, Nguyen D, Pekkanen J, Rappoccio S, Williams A, Alverson G, Barberis E, Haddad Y, Han Y, Krishna A, Li J, Lidrych J, Madigan G, Marzocchi B, Morse DM, Nguyen V, Orimoto T, Parker A, Skinnari L, Tishelman-Charny A, Wamorkar T, Wang B, Wisecarver A, Wood D, Bhattacharya S, Bueghly J, Chen Z, Gilbert A, Hahn KA, Liu Y, Odell N, Schmitt MH, Velasco M, Band R, Bucci R, Cremonesi M, Das A, Goldouzian R, Hildreth M, Hurtado Anampa K, Jessop C, Lannon K, Lawrence J, Loukas N, Lutton L, Mariano J, Marinelli N, Mcalister I, McCauley T, Mcgrady C, Mohrman K, Moore C, Musienko Y, Ruchti R, Townsend A, Wayne M, Yockey H, Zarucki M, Zygala L, Bylsma B, Carrigan M, Durkin LS, Francis B, Hill C, Joyce M, Lesauvage A, Nunez Ornelas M, Wei K, Winer BL, Yates BR, Addesa FM, Das P, Dezoort G, Elmer P, Frankenthal A, Greenberg B, Haubrich N, Higginbotham S, Kalogeropoulos A, Kopp G, Kwan S, Lange D, Marlow D, Mei K, Ojalvo I, Olsen J, Stickland D, Tully C, Malik S, Norberg S, Bakshi AS, Barnes VE, Chawla R, Das S, Gutay L, Jones M, Jung AW, Kondratyev D, Koshy AM, Liu M, Negro G, Neumeister N, Paspalaki G, Piperov S, Purohit A, Schulte JF, Stojanovic M, Thieman J, Wang F, Xiao R, Xie W, Dolen J, Parashar N, Acosta D, Baty A, Carnahan T, Decaro M, Dildick S, Ecklund KM, Fernández Manteca PJ, Freed S, Gardner P, Geurts FJM, Kumar A, Li W, Padley BP, Redjimi R, Rotter J, Shi W, Yang S, Yigitbasi E, Zhang L, Zhang Y, Bodek A, de Barbaro P, Demina R, Dulemba JL, Fallon C, Ferbel T, Galanti M, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Ranken E, Taus R, Van Onsem GP, Goulianos K, Chiarito B, Chou JP, Gershtein Y, Halkiadakis E, Hart A, Heindl M, Jaroslawski D, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Osherson M, Routray H, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Wang H, Acharya H, Delannoy AG, Fiorendi S, Holmes T, Nibigira E, Spanier S, Bouhali O, Dalchenko M, Delgado A, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo S, Malhotra S, Mueller R, Overton D, Rathjens D, Safonov A, Akchurin N, Damgov J, Hegde V, Lamichhane K, Lee SW, Mengke T, Muthumuni S, Peltola T, Volobouev I, Whitbeck A, Appelt E, Greene S, Gurrola A, Johns W, Melo A, Romeo F, Sheldon P, Tuo S, Velkovska J, Viinikainen J, Cardwell B, Cox B, Cummings G, Hakala J, Hirosky R, Ledovskoy A, Li A, Neu C, Perez Lara CE, Tannenwald B, Karchin PE, Poudyal N, Banerjee S, Black K, Bose T, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Herve A, Koraka CK, Lanaro A, Loeliger A, Loveless R, Madhusudanan Sreekala J, Mallampalli A, Mohammadi A, Mondal S, Parida G, Pinna D, Savin A, Shang V, Sharma V, Smith WH, Teague D, Tsoi HF, Vetens W, Afanasiev S, Andreev V, Andreev Y, Aushev T, Azarkin M, Babaev A, Belyaev A, Blinov V, Boos E, Borshch V, Budkouski D, Chekhovsky V, Chistov R, Demiyanov A, Dermenev A, Dimova T, Dremin I, Epshteyn V, Ershov A, Gavrilov G, Gavrilov V, Gninenko S, Golovtcov V, Golubev N, Golutvin I, Gorbunov I, Gribushin A, Ivanchenko V, Ivanov Y, Kachanov V, Kardapoltsev L, Karjavine V, Karneyeu A, Khein L, Kim V, Kirakosyan M, Kirpichnikov D, Kirsanov M, Kodolova O, Konstantinov D, Korenkov V, Korotkikh V, Kozyrev A, Krasnikov N, Kuznetsova E, Lanev A, Levchenko P, Litomin A, Lychkovskaya N, Makarenko V, Malakhov A, Matveev V, Murzin V, Nikitenko A, Obraztsov S, Oskin A, Ovtin I, Palichik V, Parygin P, Perelygin V, Petrushanko S, Polikarpov S, Popov V, Popova E, Radchenko O, Savina M, Savrin V, Selivanova D, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Slabospitskii S, Smirnov V, Snigirev A, Sosnov D, Sulimov V, Tcherniaev E, Terkulov A, Teryaev O, Tlisova I, Toms M, Toropin A, Uvarov L, Uzunian A, Vardanyan I, Vlasov E, Vorobyev A, Voytishin N, Yuldashev BS, Zarubin A, Zhizhin I, Zhokin A. Observation of the ϒ(3S) Meson and Suppression of ϒ States in Pb-Pb Collisions at sqrt[s_{NN}]=5.02 TeV. PHYSICAL REVIEW LETTERS 2024; 133:022302. [PMID: 39073941 DOI: 10.1103/physrevlett.133.022302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 01/14/2024] [Accepted: 05/28/2024] [Indexed: 07/31/2024]
Abstract
The production of ϒ(2S) and ϒ(3S) mesons in lead-lead (Pb-Pb) and proton-proton (pp) collisions is studied in their dimuon decay channel using the CMS detector at the LHC. The ϒ(3S) meson is observed for the first time in Pb-Pb collisions, with a significance above 5 standard deviations. The ratios of yields measured in Pb-Pb and pp collisions are reported for both the ϒ(2S) and ϒ(3S) mesons, as functions of transverse momentum and Pb-Pb collision centrality. These ratios, when appropriately scaled, are significantly less than unity, indicating a suppression of ϒ yields in Pb-Pb collisions. This suppression increases from peripheral to central Pb-Pb collisions. Furthermore, the suppression is stronger for ϒ(3S) mesons compared to ϒ(2S) mesons, extending the pattern of sequential suppression of quarkonium states in nuclear collisions previously seen for the J/ψ, ψ(2S), ϒ(1S), and ϒ(2S) mesons.
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Kim H, Son S, Ko Y, Lim H, Lee J, Lee KM, Shin I. CYR61 confers chemoresistance by upregulating survivin expression in triple-negative breast cancer. Carcinogenesis 2024; 45:510-519. [PMID: 38446998 DOI: 10.1093/carcin/bgae013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 02/07/2024] [Accepted: 03/05/2024] [Indexed: 03/08/2024] Open
Abstract
Cysteine-rich angiogenic inducer 61 (CYR61) is a protein from the CCN family of matricellular proteins that play diverse regulatory roles in the extracellular matrix. CYR61 is involved in cell adhesion, migration, proliferation, differentiation, apoptosis, and senescence. Here, we show that CYR61 induces chemoresistance in triple-negative breast cancer (TNBC). We observed that CYR61 is overexpressed in TNBC patients, and CYR61 expression correlates negatively with the survival of patients who receive chemotherapy. CYR61 knockdown reduced cell migration, sphere formation and the cancer stem cell (CSC) population and increased the chemosensitivity of TNBC cells. Mechanistically, CYR61 activated Wnt/β-catenin signaling and increased survivin expression, which are associated with chemoresistance, the epithelial-mesenchymal transition, and CSC-like phenotypes. Altogether, our study demonstrates a novel function of CYR61 in chemotherapy resistance in breast cancer.
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Hayrapetyan A, Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, Damanakis K, Dragicevic M, Escalante Del Valle A, Hussain PS, Jeitler M, Krammer N, 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 Putte S, Vannerom D, Clerbaux B, De Lentdecker G, Favart L, 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, Rendón C, Samalan A, Skovpen K, Van Den Bossche N, Wezenbeek L, Benecke 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, Martins J, Mora Herrera C, Mota Amarilo K, Mundim L, Nogima H, 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, Ivanov T, Litov L, Pavlov B, Petkov P, Petrov A, Shumka E, Keshri S, Thakur S, Cheng T, Guo Q, Javaid T, Mittal M, Yuan L, Bauer G, Hu Z, Liu J, Yi K, Chen GM, Chen HS, Chen M, Iemmi F, Jiang CH, Kapoor A, Liao H, Liu ZA, Monti F, Shahzad MA, 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, Gao X, Leggat D, Okawa H, Zhang Y, Lin Z, Lu C, Xiao M, Avila C, Barbosa Trujillo DA, Cabrera A, Florez C, Fraga J, 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, Elgammal S, Ellithi Kamel A, Mahmoud MA, Mohammed Y, Dewanjee RK, 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, Havukainen J, Kallonen KTS, Kim MS, Kinnunen R, Lampén T, Lassila-Perini K, Lehti S, Lindén T, Lotti M, Martikainen L, Myllymäki M, Rantanen MM, Siikonen H, Tuominen E, Tuominiemi J, Luukka P, Petrow H, Tuuva T, Besancon M, Couderc F, Dejardin M, Denegri D, Faure JL, Ferri F, Ganjour S, Gras P, Hamel de Monchenault 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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, Rejeb Sfar H, 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, Hurtado Anampa K, 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, Nunez Ornelas M, 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 G, Kwan S, Lange D, Loeliger A, Marlow D, Ojalvo I, Olsen J, Shevelev A, Stickland D, Tully C, Malik S, Bakshi AS, Barnes VE, Chandra S, Chawla R, Das S, Gu A, Gutay L, Jones M, Jung AW, Kondratyev D, Koshy AM, Liu M, Negro G, Neumeister N, Paspalaki G, Piperov S, Scheurer V, Schulte JF, Stojanovic M, Thieman J, Virdi AK, Wang F, Xie W, Dolen J, Parashar N, Pathak A, Acosta D, Baty A, Carnahan T, Ecklund KM, Fernández Manteca PJ, Freed S, Gardner P, Geurts FJM, Kumar A, Li W, Miguel Colin O, Padley BP, Redjimi R, Rotter J, Yigitbasi E, Zhang Y, Bodek A, de Barbaro P, Demina R, Dulemba JL, Fallon C, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Parygin P, Popova E, Taus R, Van Onsem GP, Goulianos K, Chiarito B, Chou JP, Gershtein Y, Halkiadakis E, Hart A, Heindl M, Jaroslawski D, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Routray H, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Vora J, Wang H, Acharya H, Ally D, Delannoy AG, Fiorendi S, Holmes T, Karunarathna N, Lee L, 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, 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, Li 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, Bunichev V, Chadeeva M, Chekhovsky V, Danilov M, Dermenev A, Dimova T, Druzhkin D, Dubinin M, Dudko L, Gavrilov G, Gavrilov V, Gninenko S, Golovtcov V, Golubev N, Golutvin I, Gorbunov I, 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, Perfilov M, 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, Vorotnikov G, Voytishin N, Yuldashev BS, Zarubin A, Zhizhin I, Zhokin A. Search for Narrow Trijet Resonances in Proton-Proton Collisions at sqrt[s]=13 TeV. PHYSICAL REVIEW LETTERS 2024; 133:011801. [PMID: 39042800 DOI: 10.1103/physrevlett.133.011801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Accepted: 05/17/2024] [Indexed: 07/25/2024]
Abstract
The first search for singly produced narrow resonances decaying to three well-separated hadronic jets is presented. The search uses proton-proton collision data corresponding to an integrated luminosity of 138 fb^{-1} at sqrt[s]=13 TeV, collected at the CERN LHC. No significant deviations from the background predictions are observed between 1.75 and 9.00 TeV. The results provide the first mass limits on a right-handed boson Z_{R} decaying to three gluons and on an excited quark decaying via a vector boson to three quarks, as well as updated limits on a Kaluza-Klein gluon decaying via a radion to three gluons.
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Nieto H, Lee J, Hall C, McDermott AL. The Otolaryngology Consultant Workforce in England: A Survey Update and Future Repercussions. Clin Otolaryngol 2024. [PMID: 38895779 DOI: 10.1111/coa.14190] [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: 11/03/2023] [Revised: 01/31/2024] [Accepted: 05/25/2024] [Indexed: 06/21/2024]
Abstract
INTRODUCTION Effective medical staffing is pivotal for a successful healthcare system, demanding strategic planning to ensure a high-quality service. Although the UK's doctor to population ratio has improved over time, it remains below global averages. The COVID-19 pandemic has exacerbated existing challenges, resulting in an unprecedented NHS waiting list with Ear, Nose, and Throat (ENT) surgeries ranking third highest in waiting times amongst all specialties. METHODS This study utilized a national jotform survey to gather data from ENTUK members, primarily focusing on consultant staffing within ENT departments across the UK. Additional information collected encompassed registration status, part-time roles, gender, vacancies, locum roles, associate specialists, registrars and other junior doctors, and advanced nurse practitioners. When survey responses were inadequate, direct communication was established with departmental consultants or secretaries, followed by Freedom of Information requests as necessary. All data were compiled using Microsoft Excel. RESULTS Among the 65 responses to the ENTUK survey, 53 individual trusts were identified. These included 41 English acute trusts, with supplementary participation from Scotland, Wales, and Northern Ireland. Data from 749 consultants across 115 English acute trusts were collected in combination with a Freedom of Information request. CONCLUSION Despite an increased number of ENT consultants, the persistence of unfilled posts coincides with mounting waiting lists. The pandemic's effects, including early retirements and part-time roles, emphasise the urgency of expanding training positions to counterbalance these shifts. Local and national interventions are essential to fortify and diversify the ENT workforce through a variety of strategies.
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Kim DH, Loke H, Thompson J, Hill R, Sundram S, Lee J. The dopamine D2-like receptor and the Y-chromosome gene, SRY, are reciprocally regulated in the human male neuroblastoma M17 cell line. Neuropharmacology 2024; 251:109928. [PMID: 38552780 DOI: 10.1016/j.neuropharm.2024.109928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 02/28/2024] [Accepted: 03/15/2024] [Indexed: 04/04/2024]
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Kirpichnikov D, Kirsanov M, Klyukhin V, 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, Perfilov M, Petrushanko S, Polikarpov S, Popov V, Radchenko O, Ryutin R, Savina M, Savrin V, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Slabospitskii S, Smirnov V, Sosnov D, Sulimov V, Tcherniaev E, Terkulov A, Teryaev O, Tlisova I, Toropin A, Uvarov L, Uzunian A, Volkov P, Vorobyev A, Vorotnikov G, Voytishin N, Yuldashev BS, Zarubin A, Zhizhin I, Zhokin A. Search for Baryon Number Violation in Top Quark Production and Decay Using Proton-Proton Collisions at sqrt[s]=13 TeV. PHYSICAL REVIEW LETTERS 2024; 132:241802. [PMID: 38949350 DOI: 10.1103/physrevlett.132.241802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 05/08/2024] [Indexed: 07/02/2024]
Abstract
A search is presented for baryon number violating interactions in top quark production and decay. The analysis uses data from proton-proton collisions at a center-of-mass energy of 13 TeV, collected with the CMS detector at the LHC with an integrated luminosity of 138 fb^{-1}. Candidate events are selected by requiring two oppositely charged leptons (electrons or muons) and exactly one jet identified as originating from a bottom quark. Multivariate discriminants are used to separate the signal from the background. No significant deviation from the standard model prediction is observed. Upper limits are placed on the strength of baryon number violating couplings. For the first time the production of single top quarks via baryon number violating interactions is studied. This allows the search to set the most stringent constraints to date on the branching fraction of the top quark decay to a lepton, an up-type quark (u or c), and a down-type quark (d, s, or b). The results improve the previous bounds by 3 to 6 orders of magnitude based on the fermion flavor combination of the baryon number violating interactions.
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Kim JS, Choi H, Oh JM, Kim SW, Kim SW, Kim BG, Cho JH, Lee J, Lee DC. TBHQ Alleviates Particulate Matter-Induced Pyroptosis in Human Nasal Epithelial Cells. TOXICS 2024; 12:407. [PMID: 38922087 PMCID: PMC11209226 DOI: 10.3390/toxics12060407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 05/17/2024] [Accepted: 05/30/2024] [Indexed: 06/27/2024]
Abstract
Pyroptosis represents a type of cell death mechanism notable for its cell membrane disruption and the subsequent release of proinflammatory cytokines. The Nod-like receptor family pyrin domain containing inflammasome 3 (NLRP3) plays a critical role in the pyroptosis mechanism associated with various diseases resulting from particulate matter (PM) exposure. Tert-butylhydroquinone (tBHQ) is a synthetic antioxidant commonly used in a variety of foods and products. The aim of this study is to examine the potential of tBHQ as a therapeutic agent for managing sinonasal diseases induced by PM exposure. The occurrence of NLRP3 inflammasome-dependent pyroptosis in RPMI 2650 cells treated with PM < 4 µm in size was confirmed using Western blot analysis and enzyme-linked immunosorbent assay results for the pyroptosis metabolites IL-1β and IL-18. In addition, the inhibitory effect of tBHQ on PM-induced pyroptosis was confirmed using Western blot and immunofluorescence techniques. The inhibition of tBHQ-mediated pyroptosis was abolished upon nuclear factor erythroid 2-related factor 2 (Nrf2) knockdown, indicating its involvement in the antioxidant mechanism. tBHQ showed potential as a therapeutic agent for sinonasal diseases induced by PM because NLRP3 inflammasome activation was effectively suppressed via the Nrf2 pathway.
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Girard L, Koh YJ, Koh LP, Chee YL, Chan HL, Lee J, de Mel S, Poon LM, Samuel M. Role of upfront autologous transplant for peripheral T-cell lymphoma patients achieving a complete remission with first-line therapy: a systematic review and meta-analysis. Bone Marrow Transplant 2024; 59:838-848. [PMID: 38443704 DOI: 10.1038/s41409-024-02254-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 01/12/2024] [Accepted: 02/15/2024] [Indexed: 03/07/2024]
Abstract
There is currently no consensus on the role of upfront autologous transplantation (ASCT) for patients with peripheral T-cell lymphomas (PTCL), especially in patients achieving first complete remission (CR1) following chemotherapy, and data in the literature is conflicting. A systematic review and meta-analysis was performed to address this question. We searched key databases from January 2000 to February 2022. Six prospective and eleven retrospective studies were included among 2959 unique records. Median follow up in these studies ranged from 22 to 94 months. There was a trend towards benefit in PFS (HR = 0.80, 95% CI 0.62-1.05, p = 0.11) and OS (HR = 0.79, 95% CI 0.57-1.09, p = 0.15) in the ASCT compared to chemotherapy only group. Importantly, in transplant eligible patients in CR1, a significant benefit was demonstrated in both OS (HR = 0.59, 95% CI 0.36-0.95, p = 0.03) and PFS (HR = 0.61, 95% CI 0.47-0.81, p = 0.0004) in the ASCT group. Amongst the nodal PTCL subgroups, ASCT showed a significant PFS benefit for the AITL subgroup (HR = 0.43, 95% CI 0.20-0.94, p < 0.03) but not PTCL-NOS or ALK-ve ALCL subgroups. Our findings support upfront ASCT for transplant eligible PTCL patients achieving CR1 post chemotherapy. In particular, patients with AITL exhibited a significantly better PFS after upfront ASCT.
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Mayer C, Lee J, Carossino M, Nevarez JG. RETROSPECTIVE STUDY OF MORBIDITY AND MORTALITY IN A CAPTIVE POPULATION OF CRYPTOSPORIDIUM-POSITIVE LOUISIANA PINE SNAKES ( PITUOPHIS RUTHVENI). J Zoo Wildl Med 2024; 55:355-368. [PMID: 38875192 DOI: 10.1638/2023-0096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/18/2024] [Indexed: 06/16/2024] Open
Abstract
The Louisiana pine snake (Pituophis ruthveni) is a diurnal colubrid species native to Louisiana and eastern Texas whose free-ranging populations have been declining over at least the past 30 yr. The creation and maintenance of sustainable captive breeding programs of P. ruthveni to restore native populations has also provided ample opportunity for research into this species and for P. ruthveni to serve as a research model for other colubrid snakes. However, no investigation into prevalent causes of morbidity and mortality in captive populations of this species has been described. A research population of P. ruthveni was maintained at Louisiana State University (LSU) for over 4 yr due to unsuitability for breeding after testing positive for Cryptosporidium serpentis. Since arrival at LSU, the snakes were under close veterinary surveillance. Complete postmortem examinations were performed on 12 snakes that died or were euthanized. The aim of this study was to further understanding of common factors influencing morbidity and mortality in captive P. ruthveni infected with C. serpentis, by retrospectively reviewing postmortem exam findings from the 12 deceased members of the population at LSU. A predominant finding across individuals included bacterial infections, which were responsible for major illness or death in 37.5% of the animals. Fifty percent of snakes tested positive for Cryptosporidium sp. based on PCR performed from postmortem samples; it was directly implicated as cause of death or morbidity in 83.3% of positive cases. Although infectious disease represented the most common pathologic postmortem finding, several noninfectious disease processes were identified, including gout, goiter, and neoplasia. These findings mirror those of other retrospective investigations of reptile collections at various institutions and highlight the need for appropriate emphasis on the identification, treatment, and prevention of infectious disease as part of routine veterinary care.
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Chung C, Choi S, Bae J, Jeong H, Lee J, Lee H. Developing and Validating a Korean Version of the Assessment of Children's Emotional Skills. Child Psychiatry Hum Dev 2024; 55:819-830. [PMID: 36229629 PMCID: PMC11061020 DOI: 10.1007/s10578-022-01452-2] [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] [Accepted: 09/24/2022] [Indexed: 11/24/2022]
Abstract
In this study, a Korean Assessment of Children's Emotional Skills (ACES) was developed by modifying the original ACES which was initially introduced in the United States. Specifically, the original ACES was translated into Korean and revised to better fit the Korean cultural context. The content validity of the revised Korean ACES was established via expert reviews. To test its reliability, the revised Korean ACES was conducted on 286 six-year-old children. A confirmatory factor analysis indicated that our newly developed Korean ACES can be used as an appropriate tool to measure Korean children's emotional skills. The Korean ACES can stimulate further studies on these emotional skills and contribute to various international collaborative studies that seek to compare the emotional skills of children from diverse cultural backgrounds.
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Lee J, Kim D, Xu X, Kuang T, Gateno J, Yan P. Predicting optimal patient-specific postoperative facial landmarks for patients with craniomaxillofacial deformities. Int J Oral Maxillofac Surg 2024:S0901-5027(24)00149-8. [PMID: 38782663 DOI: 10.1016/j.ijom.2024.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 05/07/2024] [Accepted: 05/10/2024] [Indexed: 05/25/2024]
Abstract
Orthognathic surgery primarily corrects skeletal anomalies and malocclusion to enhance facial aesthetics, aiming for an improved facial appearance. However, this traditional skeletal-driven approach may result in undesirable residual asymmetry. To address this issue, a soft tissue-driven planning methodology has been proposed. This technique estimates bone movements based on the envisioned optimal facial appearance, thereby enhancing surgical accuracy and effectiveness. This study investigates the initial implementation phase of the soft tissue-driven approach, simulating the patient's ideal appearance by realigning distorted facial landmarks to an ideal state. The algorithm employs symmetrization and weighted optimization strategies, aligning projected optimal landmarks with standard cephalometric values for both facial symmetry and form, which are essential in orthognathic surgery for facial aesthetics. It also incorporates regularization to preserve the patient's facial characteristics. Validation through retrospective analysis of preoperative patients and normal subjects demonstrates this method's efficacy in achieving facial symmetry, particularly in the lower face, and promoting a natural, harmonious contour. Adhering to soft tissue-driven principles, this novel approach shows promise in surpassing traditional methods, potentially leading to enhanced facial outcomes and patient satisfaction in orthognathic surgery.
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Hayrapetyan A, Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, Damanakis K, Dragicevic M, Del Valle AE, Hussain PS, Jeitler M, Krammer N, 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 Putte S, Vannerom D, Clerbaux B, De Lentdecker G, Favart L, Hohov D, Jaramillo J, Khalilzadeh A, Lee K, Mahdavikhorrami M, Malara A, Paredes S, Pétré L, Postiau N, Thomas L, Bemden MV, Velde CV, Vanlaer P, De Coen M, Dobur D, Hong Y, Knolle J, Lambrecht L, Mestdach G, Rendón C, Samalan A, Skovpen K, Van Den Bossche N, Wezenbeek L, Benecke 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, Martins J, Mora Herrera C, Mota Amarilo K, Mundim L, Nogima H, Santoro A, Silva Do Amaral SM, Sznajder A, Thiel M, Vilela Pereira A, Bernardes CA, Calligaris L, Fernandez Perez Tomei TR, 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, Ivanov T, Litov L, Pavlov B, Petkov P, Petrov A, Shumka E, Keshri S, Thakur S, Cheng T, Guo Q, Javaid T, Mittal M, Yuan L, Bauer G, Hu Z, Yi K, Chen GM, Chen HS, Chen M, Iemmi F, Jiang CH, Kapoor A, Liao H, Liu ZA, Monti F, Shahzad MA, Sharma R, Song JN, Tao J, Wang C, Wang J, Wang Z, Zhang H, Agapitos A, Ban Y, Levin A, Li C, Li Q, Lyu X, Mao Y, Qian SJ, Sun X, Wang D, Yang H, Zhou C, You Z, Lu N, Gao X, Leggat D, Okawa H, Zhang Y, Lin Z, Lu C, Xiao M, Avila C, Barbosa Trujillo DA, Cabrera A, Florez C, Fraga J, 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, Elgammal S, Ellithi Kamel A, Lotfy A, Mahmoud MA, Dewanjee RK, 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, Havukainen J, Kallonen KTS, Kim MS, Kinnunen R, Lampén T, Lassila-Perini K, Lehti S, Lindén T, Lotti M, Martikainen L, Myllymäki M, Rantanen MM, Siikonen H, Tuominen E, Tuominiemi J, Luukka P, Petrow H, Tuuva T, 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, Rosowsky A, Sahin MÖ, Savoy-Navarro A, Simkina P, Titov M, Baldenegro Barrera C, Beaudette F, Buchot Perraguin A, Busson P, Cappati A, Charlot C, Damas F, Davignon O, De Wit A, Falmagne G, Fontana Santos Alves BA, Ghosh S, Gilbert A, Granier de Cassagnac R, Hakimi A, Harikrishnan B, Kalipoliti L, Liu G, Motta J, Nguyen M, Ochando C, Portales L, Salerno R, Sarkar U, Sauvan JB, Sirois Y, Tarabini A, Vernazza E, Zabi A, Zghiche A, Agram JL, Andrea J, Apparu D, Bloch D, Brom JM, Chabert EC, Collard C, Falke S, Goerlach U, Grimault C, Haeberle R, Le Bihan AC, Sessini MA, Van Hove P, Beauceron S, Blancon B, Boudoul G, Chanon N, Choi J, Contardo D, Depasse P, Dozen C, El Mamouni H, Fay J, Gascon S, Gouzevitch M, Greenberg C, Grenier G, Ille B, Laktineh IB, Lethuillier M, Mirabito L, Perries S, Donckt MV, Verdier P, Xiao J, Khvedelidze A, Lomidze I, Tsamalaidze Z, Botta V, Feld L, Klein K, Lipinski M, Meuser D, Pauls A, Röwert N, Teroerde M, Diekmann S, Dodonova A, Eich N, Eliseev D, Engelke F, Erdmann M, Fackeldey P, Fischer B, Hebbeker T, Hoepfner K, Ivone F, Jung A, Lee MY, Mastrolorenzo L, Merschmeyer M, Meyer A, Mukherjee S, Noll D, Novak A, Nowotny F, Pozdnyakov A, Rath Y, Redjeb W, Rehm F, Reithler H, Sarkisovi V, Schmidt A, Schuler SC, Sharma A, 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, Brunner D, 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, Kaveh H, Kleinwort C, Kogler R, Komm M, Krücker D, Lange W, Leyva Pernia D, Lipka K, Lohmann W, Mankel R, Melzer-Pellmann IA, Mendizabal Morentin M, Metwally J, Meyer AB, Milella G, Mussgiller A, Nürnberg A, Otarid Y, Pérez Adán D, Ranken E, Raspereza A, Ribeiro Lopes B, Rübenach J, Saggio A, Scham M, Schnake S, Schütze P, Schwanenberger C, Selivanova D, Shchedrolosiev M, Sosa Ricardo RE, Sreelatha Pramod LP, Stafford D, Vazzoler F, Ventura Barroso A, Walsh R, Wang Q, Wen Y, Wichmann K, Wiens L, Wissing C, Wuchterl S, Yang Y, Zimermmane Castro Santos A, Albrecht A, Albrecht S, Antonello M, Bein S, Benato L, 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, Klute M, Koppenhöfer R, Link M, Lintuluoto A, Maier S, Mitra S, Mormile M, Müller T, Neukum M, Oh M, Quast G, Rabbertz K, Regnery B, Shadskiy N, Shvetsov I, Simonis HJ, Trevisani N, Ulrich R, van der Linden J, Von Cube RF, Wassmer M, Wieland S, Wittig F, Wolf R, Wunsch S, Zuo X, Anagnostou G, Assiouras P, 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, Gianneios P, Kamtsikis C, Katsoulis P, Kokkas P, Kosmoglou Kioseoglou PG, Manthos N, Papadopoulos I, Strologas J, Bartók M, Hajdu C, Horvath D, Sikler F, Veszpremi V, Csanád M, Farkas K, Gadallah MMA, Kadlecsik Á, Major P, Mandal K, Pásztor G, Rádl AJ, Veres GI, Raics P, Ujvari B, Zilizi G, Bencze G, Czellar S, Karancsi J, Molnar J, Szillasi Z, Csorgo T, Nemes F, Novak T, Babbar J, Bansal S, Beri SB, Bhatnagar V, Chaudhary G, Chauhan S, Dhingra N, Gupta R, Kaur A, Kaur A, Kaur H, Kaur M, Kumar S, Meena M, Sandeep K, Sheokand T, Singh JB, Singla A, Ahmed A, Bhardwaj A, Chhetri A, Choudhary BC, Kumar A, Naimuddin M, Ranjan K, Saumya S, Acharya S, Baradia S, Barman S, Bhattacharya S, Bhowmik D, Dutta S, Dutta S, Gomber B, Palit P, Saha G, Sahu B, Sarkar S, Ameen MM, Behera PK, Behera SC, Chatterjee S, Jana P, Kalbhor P, Komaragiri JR, Kumar D, Panwar L, Pradhan R, Pujahari PR, Saha NR, Sharma A, Sikdar AK, Verma S, Aziz T, Das I, Dugad S, Kumar M, Mohanty GB, Suryadevara P, Bala A, Banerjee S, Chatterjee RM, Guchait M, Jain S, Karmakar S, Kumar S, Majumder G, Mazumdar K, Mukherjee S, Thachayath A, Bahinipati S, Das AK, Kar C, Maity D, Mal P, Mishra T, Muraleedharan Nair Bindhu VK, Naskar K, Nayak A, Sadangi P, Saha P, Swain SK, Varghese S, Vats D, Alpana A, Dube S, Kansal B, Laha A, Rastogi A, Sharma S, Bakhshiansohi H, Khazaie E, Zeinali M, Chenarani S, Etesami SM, Khakzad M, Mohammadi Najafabadi M, Grunewald M, Abbrescia M, Aly R, Colaleo A, Creanza D, D’Anzi B, De Filippis N, De Palma M, Di Florio A, Elmetenawee W, Fiore L, Iaselli G, Maggi G, Maggi M, Margjeka I, Mastrapasqua V, My S, Nuzzo S, Pellecchia A, Pompili A, Pugliese G, Radogna R, Ramirez-Sanchez G, Ramos D, Ranieri A, Silvestris L, Simone FM, Sözbilir Ü, Stamerra A, Venditti R, Verwilligen P, Zaza A, Abbiendi G, Battilana C, Bonacorsi D, Borgonovi L, Campanini R, Capiluppi P, Castro A, Cavallo FR, Cuffiani M, Dallavalle GM, Diotalevi T, Fanfani A, Fasanella D, Giacomelli P, Giommi L, Grandi C, Guiducci L, Lo Meo S, Lunerti L, Marcellini S, Masetti G, Navarria FL, Perrotta A, Primavera F, Rossi AM, Rovelli T, Siroli GP, Costa S, Di Mattia A, Potenza R, Tricomi A, Tuve C, Barbagli G, 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, Boldrini G, Brivio F, Cetorelli F, De Guio F, Dinardo ME, Dini P, Gennai S, Ghezzi A, Govoni P, Guzzi L, Lucchini MT, Malberti M, Malvezzi S, Massironi A, Menasce D, Moroni L, Paganoni M, Pedrini D, Pinolini BS, Ragazzi S, Redaelli N, Tabarelli de Fatis T, Zuolo D, Buontempo S, Cagnotta A, Carnevali F, Cavallo N, De Iorio A, 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 U, Grosso G, Layer L, Lusiani E, Margoni M, Meneguzzo AT, Michelotto M, Migliorini M, Montecassiano F, Pazzini J, Ronchese P, Rossin R, Simonetto F, Strong G, Tosi M, Triossi A, Ventura S, Yarar H, Zotto P, Zucchetta A, Zumerle G, 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, Asenov P, Bilei GM, Ciangottini D, Fanò L, Magherini M, Mantovani G, Mariani V, Menichelli M, Moscatelli F, Piccinelli A, Presilla M, Rossi A, Santocchia A, Spiga D, Tedeschi T, Azzurri P, Bagliesi G, 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, Parolia S, 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, Tramontano R, Amapane N, Arcidiacono R, Argiro S, Arneodo M, Bartosik N, Bellan R, Bellora A, Biino C, Cartiglia N, Costa M, Covarelli R, Demaria N, Finco L, Grippo M, Kiani B, Legger F, Luongo F, Mariotti C, 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, Soldi D, Staiano A, Tarricone C, Tornago M, 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, Bak G, Gwak P, Kim H, Moon DH, Asilar E, Kim D, Kim TJ, Merlin JA, Park J, Choi S, Han S, Hong B, Lee K, Lee KS, Lee S, Park J, Park SK, Yoo J, Goh J, Kim HS, Kim Y, Lee S, Almond J, Bhyun JH, Choi J, Jun W, Kim J, Kim JS, 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, Yang S, 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, 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, Faccioli P, Gallinaro M, Hollar J, Leonardo N, Niknejad T, 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Chadeeva M, Chekhovsky V, Chistov R, 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, Perfilov M, Petrushanko S, Polikarpov S, Popov V, Radchenko O, Savina M, Savrin V, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Slabospitskii S, Smirnov V, 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 exotic decays of the Higgs boson to a pair of pseudoscalars in the μμbb and ττbb final states. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2024; 84:493. [PMID: 38757620 PMCID: PMC11093753 DOI: 10.1140/epjc/s10052-024-12727-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 03/25/2024] [Indexed: 05/18/2024]
Abstract
A search for exotic decays of the Higgs boson (H ) with a mass of 125Ge V to a pair of light pseudoscalars a 1 is performed in final states where one pseudoscalar decays to two b quarks and the other to a pair of muons or τ leptons. A data sample of proton-proton collisions at s = 13 Te V corresponding to an integrated luminosity of 138fb - 1 recorded with the CMS detector is analyzed. No statistically significant excess is observed over the standard model backgrounds. Upper limits are set at 95% confidence level (CL ) on the Higgs boson branching fraction to μ μ b b and to τ τ b b , via a pair of a 1 s. The limits depend on the pseudoscalar mass m a 1 and are observed to be in the range (0.17-3.3) × 10 - 4 and (1.7-7.7) × 10 - 2 in the μ μ b b and τ τ b b final states, respectively. In the framework of models with two Higgs doublets and a complex scalar singlet (2HDM+S), the results of the two final states are combined to determine upper limits on the branching fraction B ( H → a 1 a 1 → ℓ ℓ b b ) at 95% CL , with ℓ being a muon or a τ lepton. For different types of 2HDM+S, upper bounds on the branching fraction B ( H → a 1 a 1 ) are extracted from the combination of the two channels. In most of the Type II 2HDM+S parameter space, B ( H → a 1 a 1 ) values above 0.23 are excluded at 95% CL for m a 1 values between 15 and 60Ge V .
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Grants
- Austrian Federal Ministry of Education, Science and Research
- Austrian Science Fund
- Belgian Fonds de la Recherche Scientifique
- Belgian Fonds voor Wetenschappelijk Onderzoek
- CNPq
- CAPES
- FAPERJ
- FAPERGS
- FAPESP
- Bulgarian Ministry of Education and Science
- Bulgarian National Science Fund
- CERN
- Chinese Academy of Sciences
- Ministry of Science and Technology
- Chinese National Natural Science Foundation of China
- Colombian Funding Agency (MINICIENCIAS)
- Croatian Ministry of Science, Education and Sport
- Croatian Science Foundation
- Research and Innovation Foundation
- SENESCYT
- Ministry of Education and Research
- Estonian Research Council via PRG780, PRG803, and PRG445
- European Regional Development Fund
- Academy of Finland
- Finnish Ministry of Education and Culture
- Helsinki Institute of Physics
- Institut National de Physique Nucléaire et de Physique des Particules
- Centre National de la Recherche Scientifique
- Commissariat à l’Énergie Atomique et aux Énergies Alternatives
- Bundesministerium für Bildung und Forschung
- Deutsche Forschungsgemeinschaft
- Helmholtz-Gemeinschaft Deutscher Forschungszentren
- General Secretariat for Research and Innovation
- National Research, Development and Innovation Office
- Department of Atomic Energy
- Department of Science and Technology
- Institute for Research in Fundamental Studies
- Science Foundation
- Istituto Nazionale di Fisica Nucleare
- Korean Ministry of Education, Science and Technology
- National Research Foundation of Korea (NRF)
- MES
- Lithuanian Academy of Sciences
- Ministry of Education
- University of Malaya
- BUAP
- CINVESTAV
- CONACYT
- LNS
- SEP
- UASLP
- MOS
- Ministry of Business, Innovation and Employment
- Pakistan Atomic Energy Commission
- Ministry of Educaton and Science
- National Science Centre
- Fundação para a Ciência e a Tecnologia, CERN/FIS-PAR/0025/2019 and CERN/FIS-INS/0032/2019
- Ministry of Education, Science and Technological Development of Serbia
- MCIN/AEI/10.13039/501100011033, ERDF “a way of making Europe”
- Fondo Europeo de Desarrollo Regional, Spain
- Plan de Ciencia, Tecnología e Innovación del Principado de Asturias
- MOSTR
- ETH Board
- ETH Zurich
- PSI
- SNF
- UniZH
- Canton Zurich
- SER
- Thailand Center of Excellence in Physics
- Institute for the Promotion of Teaching Science and Technology of Thailand
- Special Task Force for Activating Research
- National Science and Technology Development Agency of Thailand
- Scientific and Technical Research Council of Turkey
- Turkish Atomic Energy Authority
- National Academy of Sciences of Ukraine
- Science and Technology Facilities Council
- US Department of Energy
- US National Science Foundation
- Marie-Curie programme
- European Research Council and EPLANET (European Union)
- European Research Council/European Cooperation in Science and Technology), Action CA16108
- Horizon 2020 Grant, contract Nos. 675440, 724704, 752730, 758316, 765710, 824093, 101115353 (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 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
- Shota Rustaveli National Science Foundation
- 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
- Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University (Thailand)
- CUAASC
- Kavli Foundation
- Nvidia Corporation
- Welch Foundation, contract C-1845
- Weston Havens Foundation
- Institut für Hochenergiephysik (HEPHY) using the Cloud Infrastructure Platform (CLIP), Vienna
- Inter-University Institute for High Energies, Brussels
- Université Catholique de Louvain, Louvain-la-Neuve
- São Paulo Research and Analysis Center, São Paulo
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro
- University of Sofia, Sofia
- Institute of High Energy Physics of the Chinese Academy of Sciences, Beijing
- National Institute of Chemical Physics and Biophysics, Tallinn
- Helsinki Institute of Physics, Helsinki
- Grille de Recherche d’Ile de France (GRIF), Institut de recherche sur les lois fondamentales de l’Univers, CEA, Université Paris-Saclay, Gif-sur-Yvette, France and Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris
- Institut de recherche sur les lois fondamentales de l’Univers, CEA, Université Paris-Saclay, Gif-sur-Yvette
- Institut national de physique nucléaire et de physique des particules, IN2P3, Villeurbanne
- Institut Pluridisciplinaire Hubert Curien (IPHC), Strasbourg
- Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau
- Deutsches Elektronen-Synchrotron, Hamburg
- Karlsruher Institut für Technologie, Karlsruhe
- RWTH Aachen University, Aachen
- University of Ioánnina, Ioánnina
- Wigner Research Centre for Physics, Budapest
- Tata Institute of Fundamental Research, Mumbai
- INFN CNAF, Bologna
- INFN Sezione di Bari, Università di Bari, Politecnico di Bari, Bari
- INFN Sezione di Pisa, Università di Pisa, Scuola Normale Superiore di Pisa, Pisa
- INFN Sezione di Roma, Sapienza Università di Roma, Rome
- INFN Sezione di Trieste, Università di Trieste, Trieste
- Laboratori Nazionali di Legnaro, Legnaro
- Kyungpook National University, Daegu
- National Centre for Physics, Quaid-I-Azam University, Islamabad
- Akademickie Centrum Komputerowe Cyfronet AGH, Krakow
- National Centre for Nuclear Research, Swierk
- Laboratório de Instrumentação e Física Experimental de Partículas, Lisboa
- Korea Institute of Science and Technology Information (KISTI), Daejeon
- Centro de Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT), Madrid
- Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander
- Port d’Informació Científica, Bellaterra
- CERN, European Organization for Nuclear Research, Geneva
- CSCS - Swiss National Supercomputing Centre, Lugano
- 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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Timmis RJL, Paddock RW, Ouatu I, Lee J, Howard S, Atonga E, Ruskov RT, Martin H, Wang RHW, Aboushelbaya R, Leyen MWVD, Gumbrell E, Norreys PA. Attosecond and nano-Coulomb electron bunches via the Zero Vector Potential mechanism. Sci Rep 2024; 14:10805. [PMID: 38734711 PMCID: PMC11088705 DOI: 10.1038/s41598-024-61041-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Accepted: 04/30/2024] [Indexed: 05/13/2024] Open
Abstract
The commissioning of multi-petawatt class laser facilities around the world is gathering pace. One of the primary motivations for these investments is the acceleration of high-quality, low-emittance electron bunches. Here we explore the interaction of a high-intensity femtosecond laser pulse with a mass-limited dense target to produce MeV attosecond electron bunches in transmission and confirm with three-dimensional simulation that such bunches have low emittance and nano-Coulomb charge. We then perform a large parameter scan from non-relativistic laser intensities to the laser-QED regime and from the critical plasma density to beyond solid density to demonstrate that the electron bunch energies and the laser pulse energy absorption into the plasma can be quantitatively described via the Zero Vector Potential mechanism. These results have wide-ranging implications for future particle accelerator science and associated technologies.
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Lee J, Roux S, Descharles D, Rega B, Bonazzi C. Unravelling caramelization and Maillard reactions in glucose and glucose + leucine model cakes: Formation and degradation kinetics of volatile markers extracted during baking. Food Res Int 2024; 183:114183. [PMID: 38760123 DOI: 10.1016/j.foodres.2024.114183] [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: 12/05/2023] [Revised: 02/26/2024] [Accepted: 02/28/2024] [Indexed: 05/19/2024]
Abstract
A large number of volatile compounds are formed during the baking of foods by reactions such as caramelization and Maillard reactions. Elucidating the reaction mechanisms may be useful to predict and control food quality. Ten reaction volatile markers were extracted during baking of solid model cakes implemented with known amounts of precursors (glucose with or without leucine) and then quantified by Thermal desorption-Gas chromatography-Mass spectrometry. The kinetic data showed that the level of air convection in the oven had no significant influence on the reaction rates. In contrast, increasing baking temperatures had a nonlinear accelerating impact on the generation of newly formed volatile compounds with a bell-shaped kinetic curve found for most of the markers at 200 °C. The presence of leucine triggered the activation of the Maillard and Strecker routes with a specific and very rapid formation of 3-Methylbutanal and pyrazines. A dynamic model was developed, combining evaporation flow rate and kinetic formation and consumption of reaction markers. It can be used to describe, for two furanic compounds of different volatilities, the vapor concentrations in the oven from the concentrations measured in the model cakes.
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Lee S, Kim G, Park GM, Jeong J, Jung E, Lee BS, Jo E, Lee S, Yoon H, Jo KW, Kim SH, Lee J. Management of newborns and healthcare workers exposed to isoniazid-resistant congenital tuberculosis in the neonatal intensive care unit. J Hosp Infect 2024; 147:40-46. [PMID: 38432587 DOI: 10.1016/j.jhin.2024.02.012] [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: 11/27/2023] [Revised: 01/25/2024] [Accepted: 02/05/2024] [Indexed: 03/05/2024]
Abstract
BACKGROUND Management of newborns and healthcare workers (HCWs) exposed to congenital tuberculosis (TB) in the neonatal intensive care unit (NICU) has been reported rarely. AIM To outline a contact investigation process for individuals exposed to congenital TB in the NICU and investigate nosocomial transmission. Additionally, to assess the efficacy and safety of window prophylaxis in exposed newborns. METHODS A baby, born at a gestational age of 28 + 1 weeks, was diagnosed with isoniazid-resistant congenital TB on the 39th day of admission to the level IV NICU. Newborns and HCWs exposed cumulatively for ≥8 h underwent contact investigation and follow-up for a year. FINDINGS Eighty-two newborns underwent contact investigation. All newborns displayed normal chest X-rays, and 42 hospitalized newborns tested negative for acid-fast bacilli stain and Xpert® MTB/RIF assay in their endotracheal sputum or gastric juices. Eighty received window prophylaxis: six of 75 on rifampin experienced mild adverse events, and none of the five on levofloxacin. After 12 weeks, five (6.1%) had a positive tuberculin skin test, all of whom had already received the Bacillus Calmette-Guérin vaccine and tested negative on TB interferon-gamma releasing assay. Of 119 exposed HCWs, three (2.5%) were diagnosed with latent TB infection and completed a four-month rifampin therapy. There was no active TB disease among exposed newborns and HCWs during a one-year follow-up. CONCLUSION Timely diagnosis of congenital TB is crucial for minimizing transmission among exposed neonates and HCWs in the NICU setting. In cases of isoniazid-resistant index patients, even premature newborns may consider the use of rifampin or levofloxacin for window prophylaxis.
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Lee J, Phu S, Lord SR, Okubo Y. Effects of immersive virtual reality training on balance, gait and mobility in older adults: A systematic review and meta-analysis. Gait Posture 2024; 110:129-137. [PMID: 38581933 DOI: 10.1016/j.gaitpost.2024.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 02/21/2024] [Accepted: 03/13/2024] [Indexed: 04/08/2024]
Abstract
OBJECTIVE To examine whether immersive virtual reality (VR) can improve balance, gait, mobility and fear of falling in older people. DATA SOURCES MEDLINE, EMBASE, CINAHL, PsycINFO, ProQuest Central (Engineering and Computer Science) and reference lists of included articles. STUDY SELECTION Randomised controlled trials that administered immersive VR training and assessed balance, gait and mobility outcomes in older adults without neurological disorders (mean age ≥ 65). Primary outcomes were standing balance (e.g. postural sway), multi-item balance scales (e.g. Berg Balance Scale), gait (e.g. gait speed) and mobility (e.g. Timed Up and Go test). Secondary outcomes comprised measures of enjoyment, fear of falling, adherence (e.g. dropout rate), feasibility/usability and adverse effects (e.g. motion sickness). RESULTS Meta-analyses showed that immersive VR training significantly improved standing balance (SMD: 0.51, 95% CI: .15, 0.86, p = 0.005, I2 = 28% - 3 studies, n = 79) and performance on the Berg Balance Scale (MD: 2.36, 95% CI: 1.17, 3.56, p=0.0001, I2=0% - 4 studies, n = 190). No significant improvement in gait, mobility or fear of falling was found. Subgroup analyses revealed higher training doses (≥4.5 total hours) and VR interventions using non-head mounted displays were more likely to improve standing balance. No meta-analyses were conducted for enjoyment, adherence, feasibility/usability and adverse events. CONCLUSIONS The findings indicate immersive VR has beneficial effects on balance, but not gait, mobility or fear of falling. Further research is required to examine these outcomes in trials that also include quantitative measurements of enjoyment, adherence, clinical feasibility, usability and adverse effects.
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Kim J, Bang J, Lee J. Adaptive Dataset Management Scheme for Lightweight Federated Learning in Mobile Edge Computing. SENSORS (BASEL, SWITZERLAND) 2024; 24:2579. [PMID: 38676197 PMCID: PMC11053995 DOI: 10.3390/s24082579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Revised: 04/03/2024] [Accepted: 04/10/2024] [Indexed: 04/28/2024]
Abstract
Federated learning (FL) in mobile edge computing has emerged as a promising machine-learning paradigm in the Internet of Things, enabling distributed training without exposing private data. It allows multiple mobile devices (MDs) to collaboratively create a global model. FL not only addresses the issue of private data exposure but also alleviates the burden on a centralized server, which is common in conventional centralized learning. However, a critical issue in FL is the imposed computing for local training on multiple MDs, which often have limited computing capabilities. This limitation poses a challenge for MDs to actively contribute to the training process. To tackle this problem, this paper proposes an adaptive dataset management (ADM) scheme, aiming to reduce the burden of local training on MDs. Through an empirical study on the influence of dataset size on accuracy improvement over communication rounds, we confirm that the amount of dataset has a reduced impact on accuracy gain. Based on this finding, we introduce a discount factor that represents the reduced impact of the size of the dataset on the accuracy gain over communication rounds. To address the ADM problem, which involves determining how much the dataset should be reduced over classes while considering both the proposed discounting factor and Kullback-Leibler divergence (KLD), a theoretical framework is presented. The ADM problem is a non-convex optimization problem. To solve it, we propose a greedy-based heuristic algorithm that determines a suboptimal solution with low complexity. Simulation results demonstrate that our proposed scheme effectively alleviates the training burden on MDs while maintaining acceptable training accuracy.
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22
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Rosenberg E, Andersen TI, Samajdar R, Petukhov A, Hoke JC, Abanin D, Bengtsson A, Drozdov IK, Erickson C, Klimov PV, Mi X, Morvan A, Neeley M, Neill C, Acharya R, Allen R, Anderson K, Ansmann M, Arute F, Arya K, Asfaw A, Atalaya J, Bardin JC, Bilmes A, Bortoli G, Bourassa A, Bovaird J, Brill L, Broughton M, Buckley BB, Buell DA, Burger T, Burkett B, Bushnell N, Campero J, Chang HS, Chen Z, Chiaro B, Chik D, Cogan J, Collins R, Conner P, Courtney W, Crook AL, Curtin B, Debroy DM, Barba ADT, Demura S, Di Paolo A, Dunsworth A, Earle C, Faoro L, Farhi E, Fatemi R, Ferreira VS, Burgos LF, Forati E, Fowler AG, Foxen B, Garcia G, Genois É, Giang W, Gidney C, Gilboa D, Giustina M, Gosula R, Dau AG, Gross JA, Habegger S, Hamilton MC, Hansen M, Harrigan MP, Harrington SD, Heu P, Hill G, Hoffmann MR, Hong S, Huang T, Huff A, Huggins WJ, Ioffe LB, Isakov SV, Iveland J, Jeffrey E, Jiang Z, Jones C, Juhas P, Kafri D, Khattar T, Khezri M, Kieferová M, Kim S, Kitaev A, Klots AR, Korotkov AN, Kostritsa F, Kreikebaum JM, Landhuis D, Laptev P, Lau KM, Laws L, Lee J, Lee KW, Lensky YD, Lester BJ, Lill AT, Liu W, Locharla A, Mandrà S, Martin O, Martin S, McClean JR, McEwen M, Meeks S, Miao KC, Mieszala A, Montazeri S, Movassagh R, Mruczkiewicz W, Nersisyan A, Newman M, Ng JH, Nguyen A, Nguyen M, Niu MY, O'Brien TE, Omonije S, Opremcak A, Potter R, Pryadko LP, Quintana C, Rhodes DM, Rocque C, Rubin NC, Saei N, Sank D, Sankaragomathi K, Satzinger KJ, Schurkus HF, Schuster C, Shearn MJ, Shorter A, Shutty N, Shvarts V, Sivak V, Skruzny J, Smith WC, Somma RD, Sterling G, Strain D, Szalay M, Thor D, Torres A, Vidal G, Villalonga B, Heidweiller CV, White T, Woo BWK, Xing C, Yao ZJ, Yeh P, Yoo J, Young G, Zalcman A, Zhang Y, Zhu N, Zobrist N, Neven H, Babbush R, Bacon D, Boixo S, Hilton J, Lucero E, Megrant A, Kelly J, Chen Y, Smelyanskiy V, Khemani V, Gopalakrishnan S, Prosen T, Roushan P. Dynamics of magnetization at infinite temperature in a Heisenberg spin chain. Science 2024; 384:48-53. [PMID: 38574139 DOI: 10.1126/science.adi7877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 03/01/2024] [Indexed: 04/06/2024]
Abstract
Understanding universal aspects of quantum dynamics is an unresolved problem in statistical mechanics. In particular, the spin dynamics of the one-dimensional Heisenberg model were conjectured as to belong to the Kardar-Parisi-Zhang (KPZ) universality class based on the scaling of the infinite-temperature spin-spin correlation function. In a chain of 46 superconducting qubits, we studied the probability distribution of the magnetization transferred across the chain's center, [Formula: see text]. The first two moments of [Formula: see text] show superdiffusive behavior, a hallmark of KPZ universality. However, the third and fourth moments ruled out the KPZ conjecture and allow for evaluating other theories. Our results highlight the importance of studying higher moments in determining dynamic universality classes and provide insights into universal behavior in quantum systems.
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Blokland G, Maleki N, Jovicich J, Mesholam-Gately R, DeLisi L, Turner J, Shenton M, Voineskos A, Kahn R, Roffman J, Holt D, Ehrlich S, Kikinis Z, Dazzan P, Murray R, Lee J, Sim K, Lam M, de Zwarte S, Walton E, Kelly S, Picchioni M, Bramon E, Makris N, David A, Mondelli V, Reinders A, Oykhman E, Morris D, Gill M, Corvin A, Cahn W, Ho N, Liu J, Gollub R, Manoach D, Calhoun V, Sponheim S, Buka S, Cherkerzian S, Thermenos H, Dickie E, Ciufolini S, Reis Marques T, Crossley N, Purcell S, Smoller J, van Haren N, Toulopoulou T, Donohoe G, Goldstein J, Keshavan M, Petryshen T, del Re E. MIR137 polygenic risk for schizophrenia and ephrin-regulated pathway: Role in lateral ventricles and corpus callosum volume. Int J Clin Health Psychol 2024; 24:100458. [PMID: 38623146 PMCID: PMC11017057 DOI: 10.1016/j.ijchp.2024.100458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 04/02/2024] [Indexed: 04/17/2024] Open
Abstract
Background/Objective. Enlarged lateral ventricle (LV) volume and decreased volume in the corpus callosum (CC) are hallmarks of schizophrenia (SZ). We previously showed an inverse correlation between LV and CC volumes in SZ, with global functioning decreasing with increased LV volume. This study investigates the relationship between LV volume, CC abnormalities, and the microRNA MIR137 and its regulated genes in SZ, because of MIR137's essential role in neurodevelopment. Methods. Participants were 1224 SZ probands and 1466 unaffected controls from the GENUS Consortium. Brain MRI scans, genotype, and clinical data were harmonized across cohorts and employed in the analyses. Results. Increased LV volumes and decreased CC central, mid-anterior, and mid-posterior volumes were observed in SZ probands. The MIR137-regulated ephrin pathway was significantly associated with CC:LV ratio, explaining a significant proportion (3.42 %) of CC:LV variance, and more than for LV and CC separately. Other pathways explained variance in either CC or LV, but not both. CC:LV ratio was also positively correlated with Global Assessment of Functioning, supporting previous subsample findings. SNP-based heritability estimates were higher for CC central:LV ratio (0.79) compared to CC or LV separately. Discussion. Our results indicate that the CC:LV ratio is highly heritable, influenced in part by variation in the MIR137-regulated ephrin pathway. Findings suggest that the CC:LV ratio may be a risk indicator in SZ that correlates with global functioning.
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Kim K, Kim Y, Lee J, Lee M, Ahn C, Park MJ, Na H, Jeung EB. 3-carene supresses inflammatory cytokine interleukin-4, interleukin-5 and interleukin-13 in a murine model of asthma. JOURNAL OF PHYSIOLOGY AND PHARMACOLOGY : AN OFFICIAL JOURNAL OF THE POLISH PHYSIOLOGICAL SOCIETY 2024; 75:195-203. [PMID: 38736266 DOI: 10.26402/jpp.2024.2.08] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 04/30/2024] [Indexed: 05/14/2024]
Abstract
Asthma is a common airway disease associated with allergic inflammation. Environmental factors, such as pollens, pollution, insect-borne antigens, or commercial chemicals, cause this disease. The common symptoms of this airway allergic reaction are increasing mucus, narrowing of the airway wall, coughing, and chest tightness. Medications, such as steroids, alleviate the disease but with severe side effects. Several studies have reported the anti-inflammatory effects of tree-based essential oil components, particularly 3-carene. Therefore, this study used 3-carene to determine if it alleviates asthmatic symptoms in the murine model. First, BALB/c mice were sensitized to an ovalbumin and aluminium hydroxide mixture on day 7th and 14th. From days 21st to 23rd, the mice were challenged with 3-carene and budesonide. The lung trachea, plasma, and bronchiolar lavage fluid (BAL fluid) were collected on day 24. The 3-carene treatment suppressed the cytokine gene expression, such as interleukin-4 (IL-4), IL-5, and IL-13, reducing the lung epithelial cell thickness in the asthmatic model. These results suggest that essential oil 3-carene has an anti-asthmatic effect.
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Bazarov Ravshan Ugli D, Mohammed AFY, Na T, Lee J. Deep Reinforcement Learning-Empowered Cost-Effective Federated Video Surveillance Management Framework. SENSORS (BASEL, SWITZERLAND) 2024; 24:2158. [PMID: 38610369 PMCID: PMC11014212 DOI: 10.3390/s24072158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 03/16/2024] [Accepted: 03/26/2024] [Indexed: 04/14/2024]
Abstract
Video surveillance systems are integral to bolstering safety and security across multiple settings. With the advent of deep learning (DL), a specialization within machine learning (ML), these systems have been significantly augmented to facilitate DL-based video surveillance services with notable precision. Nevertheless, DL-based video surveillance services, which necessitate the tracking of object movement and motion tracking (e.g., to identify unusual object behaviors), can demand a significant portion of computational and memory resources. This includes utilizing GPU computing power for model inference and allocating GPU memory for model loading. To tackle the computational demands inherent in DL-based video surveillance, this study introduces a novel video surveillance management system designed to optimize operational efficiency. At its core, the system is built on a two-tiered edge computing architecture (i.e., client and server through socket transmission). In this architecture, the primary edge (i.e., client side) handles the initial processing tasks, such as object detection, and is connected via a Universal Serial Bus (USB) cable to the Closed-Circuit Television (CCTV) camera, directly at the source of the video feed. This immediate processing reduces the latency of data transfer by detecting objects in real time. Meanwhile, the secondary edge (i.e., server side) plays a vital role by hosting a dynamically controlling threshold module targeted at releasing DL-based models, reducing needless GPU usage. This module is a novel addition that dynamically adjusts the threshold time value required to release DL models. By dynamically optimizing this threshold, the system can effectively manage GPU usage, ensuring resources are allocated efficiently. Moreover, we utilize federated learning (FL) to streamline the training of a Long Short-Term Memory (LSTM) network for predicting imminent object appearances by amalgamating data from diverse camera sources while ensuring data privacy and optimized resource allocation. Furthermore, in contrast to the static threshold values or moving average techniques used in previous approaches for the controlling threshold module, we employ a Deep Q-Network (DQN) methodology to manage threshold values dynamically. This approach efficiently balances the trade-off between GPU memory conservation and the reloading latency of the DL model, which is enabled by incorporating LSTM-derived predictions as inputs to determine the optimal timing for releasing the DL model. The results highlight the potential of our approach to significantly improve the efficiency and effective usage of computational resources in video surveillance systems, opening the door to enhanced security in various domains.
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