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51	Hayrapetyan A, Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, Damanakis K, Dragicevic M, Hussain PS, Jeitler M, Krammer N, Li A, Liko D, Mikulec I, Schieck J, Schöfbeck R, Schwarz D, Sonawane M, Templ S, Waltenberger W, Wulz CE, Darwish MR, Janssen T, Van Mechelen P, Bols ES, D'Hondt J, Dansana S, De Moor A, Delcourt M, El Faham H, Lowette S, Makarenko I, Müller D, Sahasransu AR, Tavernier S, Tytgat M, Van Onsem GP, Van Putte S, Vannerom D, Clerbaux B, Das AK, De Lentdecker G, Favart L, Gianneios P, Hohov D, Jaramillo J, Khalilzadeh A, 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, Mota Amarilo K, Rendón C, Samalan A, Skovpen K, Van Den Bossche N, van der Linden J, Wezenbeek L, Benecke A, Bethani A, Bruno G, Caputo C, Delaere C, Donertas IS, Giammanco A, Jaffel K, Jain S, Lemaitre V, Lidrych J, Mastrapasqua P, Mondal K, Tran TT, Wertz S, Alves GA, Coelho E, Hensel C, Menezes De Oliveira T, Moraes A, Rebello Teles P, Soeiro M, Aldá Júnior WL, Alves Gallo Pereira M, Barroso Ferreira Filho M, Brandao Malbouisson H, Carvalho W, Chinellato J, Da Costa EM, Da Silveira GG, De Jesus Damiao D, Fonseca De Souza S, Gomes De Souza R, Martins J, Mora Herrera C, Mundim L, Nogima H, Pinheiro JP, Santoro A, Sznajder A, Thiel M, Vilela Pereira A, Bernardes CA, Calligaris L, Tomei TRFP, Gregores EM, Mercadante PG, Novaes SF, Orzari B, Padula SS, Aleksandrov A, Antchev G, Hadjiiska R, Iaydjiev P, Misheva M, Shopova M, Sultanov G, Dimitrov A, Litov L, Pavlov B, Petkov P, Petrov A, Shumka E, Keshri S, Thakur S, Cheng T, Javaid T, Yuan L, Hu Z, Liu J, Yi K, Chen GM, Chen HS, Chen M, Iemmi F, Jiang CH, Kapoor A, Liao H, Liu ZA, Sharma R, Song JN, Tao J, Wang C, Wang J, Wang Z, Zhang H, Agapitos A, Ban Y, Levin A, Li C, Li Q, Mao Y, Qian SJ, Sun X, Wang D, Yang H, Zhang L, Zhou C, You Z, Lu N, Bauer G, Gao X, Leggat D, Okawa H, Lin Z, Lu C, Xiao M, Ye Y, 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, Ehataht K, Kadastik M, Lange T, Nandan S, Nielsen C, Pata J, Raidal M, Tani L, Veelken C, Kirschenmann H, Osterberg K, Voutilainen M, Bharthuar S, Brücken E, Garcia F, Kallonen KTS, Kinnunen R, Lampén T, Lassila-Perini K, Lehti S, Lindén T, Martikainen L, Myllymäki M, Rantanen MM, Siikonen H, Tuominen E, Tuominiemi J, Luukka P, Petrow H, Besancon M, Couderc F, Dejardin M, Denegri D, Faure JL, Ferri F, Ganjour S, Gras P, Hamel de Monchenault G, Lohezic V, Malcles J, Rander J, Rosowsky A, Sahin MÖ, Savoy-Navarro A, Simkina P, Titov M, Tornago M, Baldenegro Barrera C, Beaudette F, Buchot Perraguin A, Busson P, Cappati A, Charlot C, Chiusi M, Damas F, Davignon O, De Wit A, 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, 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, Meena M, Saha G, 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, 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, Torres Da Silva De Araujo F, Vigilante L, Wiedenbeck S, Zaleski S, Dziwok C, Flügge G, Haj Ahmad W, Kress T, Nowack A, Pooth O, Stahl A, Ziemons T, Zotz A, Aarup Petersen H, Aldaya Martin M, Alimena J, Amoroso S, An Y, Baxter S, Bayatmakou M, Becerril Gonzalez H, Behnke O, Belvedere A, Bhattacharya S, Blekman F, Borras K, Campbell A, Cardini A, Cheng C, Colombina F, Consuegra Rodríguez S, Correia Silva G, De Silva M, Eckerlin G, Eckstein D, Estevez Banos LI, Filatov O, Gallo E, Geiser A, Giraldi A, Guglielmi V, Guthoff M, Hinzmann A, Jafari A, Jeppe L, Jomhari NZ, Kaech B, Kasemann M, Kleinwort C, Kogler R, Komm M, Krücker D, Lange W, Leyva Pernia D, Lipka K, Lohmann W, Mankel R, Melzer-Pellmann IA, Mendizabal Morentin M, Meyer AB, Milella G, Mussgiller A, Nair LP, Nürnberg A, Otarid Y, Park J, Pérez Adán D, Ranken E, Raspereza A, Ribeiro Lopes B, Rübenach J, Saggio A, Scham M, Schnake S, Schütze P, Schwanenberger C, Selivanova D, Sharko K, Shchedrolosiev M, Sosa Ricardo RE, Stafford D, Vazzoler F, Ventura Barroso A, Walsh R, Wang Q, Wen Y, Wichmann K, Wiens L, Wissing C, Yang Y, Zimermmane Castro Santos A, Albrecht A, Albrecht S, Antonello M, Bein S, Benato L, Bollweg S, Bonanomi M, Connor P, Eich M, El Morabit K, Fischer Y, Garbers C, 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, Mehta A, Moureaux L, Mrowietz M, Nigamova A, Nissan Y, Paasch A, Pena Rodriguez KJ, Quadfasel T, Raciti B, Rieger M, Savoiu D, Schindler J, Schleper P, Schröder M, Schwandt J, Sommerhalder M, Stadie H, Steinbrück G, Tews A, Wolf M, Brommer S, Burkart M, Butz E, Chwalek T, Dierlamm A, Droll A, Faltermann N, Giffels M, Gottmann A, Hartmann F, Hofsaess R, Horzela M, Husemann U, Kieseler J, Klute M, Koppenhöfer R, Lawhorn JM, Link M, Lintuluoto A, Maier S, Mitra S, Mormile M, Müller T, Neukum M, Oh M, Presilla M, Quast G, Rabbertz K, Regnery B, Shadskiy N, Shvetsov I, Simonis HJ, Toms M, Trevisani N, Von Cube RF, Wassmer M, Wieland S, Wittig F, Wolf R, Zuo X, Anagnostou G, Daskalakis G, Kyriakis A, Papadopoulos A, Stakia A, Kontaxakis P, Melachroinos G, Panagiotou A, Papavergou I, Paraskevas I, Saoulidou N, Theofilatos K, Tziaferi E, Vellidis K, Zisopoulos I, Bakas G, Chatzistavrou T, Karapostoli G, Kousouris K, Papakrivopoulos I, Siamarkou E, Tsipolitis G, Zacharopoulou A, Adamidis K, Bestintzanos I, Evangelou I, Foudas C, Kamtsikis C, Katsoulis P, Kokkas P, Kosmoglou Kioseoglou PG, Manthos N, Papadopoulos I, Strologas J, Bartók M, Hajdu C, Horvath D, Márton K, Sikler F, Veszpremi V, Csanád M, Farkas K, Gadallah MMA, Kadlecsik Á, Major P, Mandal K, Pásztor G, Rádl AJ, 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, Karmakar S, Kumar S, Majumder G, Mazumdar K, Parolia S, Thachayath A, Bahinipati S, 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, Acharya S, Alpana A, Dube S, Gomber B, Kansal B, Laha A, Sahu B, Sharma S, Vaish KY, 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, 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, Campanini R, 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, Lo Meo S, Lunerti L, Marcellini S, Masetti G, Navarria FL, Perrotta A, Primavera F, Rossi AM, Siroli GP, Costa S, Di Mattia A, Potenza R, Tricomi A, Tuve C, Assiouras P, Barbagli G, Bardelli G, Camaiani B, Cassese A, Ceccarelli R, Ciulli V, Civinini C, D'Alessandro R, Focardi E, Kello T, Latino G, Lenzi P, Lizzo M, Meschini M, Paoletti S, Papanastassiou A, Sguazzoni G, Viliani L, Benussi L, Bianco S, Meola S, Piccolo D, Chatagnon P, Ferro F, Robutti E, Tosi S, Benaglia A, Boldrini G, Brivio F, Cetorelli F, De Guio F, Dinardo ME, Dini P, Gennai S, Gerosa R, Ghezzi A, Govoni P, Guzzi L, Lucchini MT, Malberti M, Malvezzi S, Massironi A, Menasce D, Moroni L, Paganoni M, Pedrini D, Pinolini BS, Ragazzi S, Tabarelli de Fatis T, Zuolo D, Buontempo S, Cagnotta A, Carnevali F, Cavallo N, Fabozzi F, Iorio AOM, Lista L, Paolucci P, Rossi B, Sciacca C, Ardino R, Azzi P, Bacchetta N, Bellato M, Bisello D, Bortignon P, Bragagnolo A, Carlin R, Checchia P, Dorigo T, Gasparini F, 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, Yarar H, Zanetti M, 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, Bilei GM, Ciangottini D, Fanò L, Magherini M, Mantovani G, Mariani V, Menichelli M, Moscatelli F, Rossi A, Santocchia A, Spiga D, Tedeschi T, Asenov P, Azzurri P, Bagliesi G, Bhattacharya R, Bianchini L, Boccali T, Bossini E, Bruschini D, Castaldi R, Ciocci MA, Cipriani M, D'Amante V, Dell'Orso R, Donato S, Giassi A, Ligabue F, Matos Figueiredo D, Messineo A, Musich M, Palla F, Rizzi A, Rolandi G, Roy Chowdhury S, Sarkar T, Scribano A, Spagnolo P, Tenchini R, Tonelli G, Turini N, Venturi A, Verdini PG, Barria P, Basile C, Campana M, Cavallari F, Cunqueiro Mendez L, Del Re D, Di Marco E, Diemoz M, Errico F, Longo E, Meridiani P, Mijuskovic J, Organtini G, Pandolfi F, Paramatti R, Quaranta C, Rahatlou S, Rovelli C, Santanastasio F, Soffi L, Amapane N, Arcidiacono R, Argiro S, Arneodo M, Bartosik N, Bellan R, Bellora A, Biino C, Borca C, Cartiglia N, Costa M, Covarelli R, Demaria N, Finco L, Grippo M, Kiani B, Legger F, Luongo F, Mariotti C, Markovic L, Maselli S, Mecca A, Migliore E, Monteno M, Mulargia R, Obertino MM, Ortona G, Pacher L, Pastrone N, Pelliccioni M, Ruspa M, Siviero F, Sola V, Solano A, Staiano A, Tarricone C, Trocino D, Umoret G, Vlasov E, Belforte S, Candelise V, Casarsa M, Cossutti F, De Leo K, Della Ricca G, Dogra S, Hong J, Huh C, Kim B, Kim DH, Kim J, Lee H, Lee SW, Moon CS, Oh YD, Ryu MS, Sekmen S, Yang YC, Kim MS, Bak G, Gwak P, Kim H, Moon DH, Asilar E, Kim D, Kim TJ, Merlin JA, Choi S, Han S, Hong B, Lee K, Lee KS, Lee S, Park J, Park SK, Yoo J, Goh J, Yang S, Kim HS, Kim Y, Lee S, Almond J, Bhyun JH, Choi J, Jun W, Kim J, Ko S, Kwon H, Lee H, Lee J, Lee J, Oh BH, Oh SB, Seo H, Yang UK, Yoon I, Jang W, Kang DY, Kang Y, Kim S, Ko B, Lee JSH, Lee Y, Park IC, Roh Y, Watson IJ, Ha S, Yoo HD, Choi M, Kim MR, Lee H, Lee Y, Yu I, Beyrouthy T, Dreimanis K, Gaile A, Pikurs G, Potrebko A, Seidel M, Veckalns V, Strautnieks NR, Ambrozas M, Juodagalvis A, Rinkevicius A, Tamulaitis G, Bin Norjoharuddeen N, Yusuff I, Zolkapli Z, Benitez JF, Castaneda Hernandez A, Encinas Acosta HA, Gallegos Maríñez LG, León Coello M, Murillo Quijada JA, Sehrawat A, Valencia Palomo L, Ayala G, Castilla-Valdez H, Crotte Ledesma H, De La Cruz-Burelo E, Heredia-De La Cruz I, Lopez-Fernandez R, Mondragon Herrera CA, Sánchez Hernández A, Oropeza Barrera C, Ramírez García M, Bautista I, Pedraza I, Salazar Ibarguen HA, Uribe Estrada C, Bubanja I, Raicevic N, Butler PH, Ahmad A, Asghar MI, Awais A, Awan MIM, Hoorani HR, Khan WA, Avati V, Grzanka L, Malawski M, Bialkowska H, Bluj M, Boimska B, Górski M, Kazana M, Szleper M, Zalewski P, Bunkowski K, Doroba K, Kalinowski A, Konecki M, Krolikowski J, Muhammad A, Pozniak K, Zabolotny W, Araujo M, Bastos D, Beirão Da Cruz E Silva C, Boletti A, Bozzo M, Camporesi T, Da Molin G, Faccioli P, Gallinaro M, Hollar J, Leonardo N, Niknejad T, Petrilli A, Pisano M, Seixas J, Varela J, Wulff JW, Adzic P, Milenovic P, Dordevic M, Milosevic J, Rekovic V, Aguilar-Benitez M, Alcaraz Maestre J, Bedoya CF, Cepeda M, Cerrada M, Colino N, De La Cruz B, Delgado Peris A, Escalante Del Valle A, Fernández Del Val D, Fernández Ramos JP, Flix J, Fouz MC, Gonzalez Lopez O, Goy Lopez S, Hernandez JM, Josa MI, Moran D, Morcillo Perez CM, Navarro Tobar Á, Perez Dengra C, Pérez-Calero Yzquierdo A, Puerta Pelayo J, Redondo I, Redondo Ferrero DD, Romero L, Sánchez Navas S, 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, Vischia P, Bhowmik S, Blanco Fernández S, Brochero Cifuentes JA, Cabrillo IJ, Calderon A, Duarte Campderros J, Fernandez M, Gomez G, Lasaosa García C, Martinez Rivero C, Martinez Ruiz Del Arbol P, Matorras F, Matorras Cuevas P, Navarrete Ramos E, Piedra Gomez J, 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, Amendola C, Auffray E, Auzinger G, Baechler J, Barney D, Bermúdez Martínez A, Bianco M, Bilin B, Bin Anuar AA, 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, Laurila S, Lecoq P, Leutgeb E, Lourenço C, Maier B, Malgeri L, Mannelli M, Marini AC, Matthewman M, Meijers F, Mersi S, Meschi E, Milosevic V, Monti F, Moortgat F, Mulders M, Neutelings I, Orfanelli S, Pantaleo F, Petrucciani G, Pfeiffer A, Pierini M, Piparo D, Qu H, Rabady D, Reales Gutiérrez G, Rovere M, Sakulin H, Scarfi S, Schwick C, Selvaggi M, Sharma A, Shchelina K, Silva P, Sphicas P, Stahl Leiton AG, Steen A, Summers S, Treille D, Tropea P, Tsirou A, Walter D, Wanczyk J, Wang J, Wuchterl S, Zehetner P, Zejdl P, Zeuner WD, Bevilacqua T, Caminada L, Ebrahimi A, Erdmann W, Horisberger R, Ingram Q, Kaestli HC, Kotlinski D, Lange C, Missiroli M, Noehte L, Rohe T, Aarrestad TK, Androsov K, Backhaus M, Calandri A, Cazzaniga C, Datta K, De Cosa A, Dissertori G, Dittmar M, Donegà M, Eble F, Galli M, Gedia K, Glessgen F, Grab C, Hits D, Lustermann W, Lyon AM, Manzoni RA, Marchegiani M, Marchese L, Martin Perez C, Mascellani A, Nessi-Tedaldi F, Pauss F, Perovic V, Pigazzini S, Reissel C, Reitenspiess T, Ristic B, Riti F, Seidita R, Steggemann J, Valsecchi D, Wallny R, Amsler C, Bärtschi P, Brzhechko D, Canelli MF, Cormier K, Heikkilä JK, Huwiler M, Jin W, Jofrehei A, Kilminster B, Leontsinis S, Liechti SP, Macchiolo A, Meiring P, Molinatti U, Reimers A, Robmann P, Sanchez Cruz S, Senger M, Stäger F, Takahashi Y, Tramontano R, Adloff C, Bhowmik D, Kuo CM, Lin W, Rout PK, Tiwari PC, Yu SS, Ceard L, Chao Y, Chen KF, Chen PS, Chen ZG, De Iorio A, Hou WS, Hsu TH, Kao YW, Khurana R, Kole G, Li YY, Lu RS, Paganis E, Su XF, Thomas-Wilsker J, Tsai LS, Wu HY, Yazgan E, Asawatangtrakuldee C, Srimanobhas N, Wachirapusitanand V, Agyel D, Boran F, Demiroglu ZS, Dolek F, Dumanoglu I, Eskut E, Guler Y, Gurpinar Guler E, Isik C, Kara O, Kayis Topaksu A, Kiminsu U, Onengut G, Ozdemir K, Polatoz A, Tali B, Tok UG, Turkcapar S, Uslan E, Zorbakir IS, Yalvac M, Akgun B, Atakisi IO, Gülmez E, Kaya M, Kaya O, Tekten S, Cakir A, Cankocak K, Komurcu Y, Sen S, Aydilek O, Cerci S, Epshteyn V, Hacisahinoglu B, Hos I, Kaynak B, Ozkorucuklu S, Potok O, Sert H, Simsek C, Zorbilmez C, Isildak B, Sunar Cerci D, 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, Kreczko L, Paramesvaran S, Robertshaw L, Seif El Nasr-Storey S, Smith VJ, Stylianou N, Walkingshaw Pass K, White R, Ball AH, Bell KW, Belyaev A, Brew C, Brown RM, Cockerill DJA, Cooke C, Ellis KV, Harder K, Harper S, Holmberg ML, Linacre J, Manolopoulos K, Newbold DM, Olaiya E, Petyt D, Reis T, Salvi G, Schuh T, Shepherd-Themistocleous CH, Tomalin IR, Williams T, Bainbridge R, Bloch P, Brown CE, Buchmuller O, Cacchio V, Carrillo Montoya CA, 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, León Holgado J, 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, Dittmann J, Hatakeyama K, Hiltbrand J, McMaster B, Saunders M, Sawant S, Sutantawibul C, Wilson J, Bartek R, Dominguez A, Huerta Escamilla C, Simsek AE, Uniyal R, Vargas Hernandez AM, 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, Fernandez Madrazo C, 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, Yan X, Zhang W, Abbott S, Bonilla J, Brainerd C, Breedon R, Calderon De La Barca Sanchez M, 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, Flores Avila G, Hauser J, Ignatenko M, Iqbal MA, Lam T, Manca E, Nunez Del Prado A, 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, Sathia Narayanan BV, 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, 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, MacDonald E, Manganelli N, 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, 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, Reinsvold Hall A, Ristori L, Sexton-Kennedy E, Smith N, Soha A, Spiegel L, Stoynev S, Strait J, Taylor L, Tkaczyk S, Tran NV, Uplegger L, Vaandering EW, Zoi I, Aruta C, Avery P, Bourilkov D, Cadamuro L, Chang P, Cherepanov V, Field RD, Koenig E, Kolosova M, Konigsberg J, Korytov A, Matchev K, Menendez N, Mitselmakher G, Mohrman K, Muthirakalayil Madhu A, Rawal N, Rosenzweig D, Rosenzweig S, Wang J, Adams T, Al Kadhim A, 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, Elkafrawy T, Hohlmann M, Kumar Verma R, Rahmani M, Yanes E, Adams MR, Baty A, Bennett C, Cavanaugh R, Escobar Franco R, Evdokimov O, Gerber CE, Hofman DJ, Lee JH, Lemos DS, Merrit AH, Mills C, Nanda S, Oh G, Ozek B, Pilipovic D, Pradhan R, Roy T, Rudrabhatla S, Tonjes MB, Varelas N, 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 Alcerro LF, Anguiano J, Baringer P, Bean A, Flowers Z, Grove D, King J, Krintiras G, Lazarovits M, Le Mahieu C, Marquez J, Minafra N, Murray M, Nickel M, Pitt M, Popescu S, Rogan C, Royon C, Salvatico R, Sanders S, Smith C, Wang Q, Wilson G, Allmond B, Ivanov A, Kaadze K, Kalogeropoulos A, Kim D, Maravin Y, 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, Wadud MA, 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, Rejeb Sfar H, 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, Wang B, Wood D, Bhattacharya S, 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, Hurtado Anampa K, 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, 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, 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, Carnahan T, Ecklund KM, Fernández Manteca PJ, Freed S, Gardner P, Geurts FJM, Li W, Miguel Colin O, 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, Gershtein Y, Halkiadakis E, Heindl M, Houghton C, 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, 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, Whitbeck A, Appelt E, Chen Y, Greene S, Gurrola A, Johns W, Kunnawalkam Elayavalli R, Melo A, Romeo F, Sheldon P, Tuo S, Velkovska J, Viinikainen J, Cardwell B, Cox B, Hakala J, Hirosky R, Ledovskoy A, Neu C, Perez Lara CE, Karchin PE, Aravind A, Banerjee S, Black K, Bose T, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Herve A, Koraka CK, Lanaro A, Loveless R, Madhusudanan Sreekala J, Mallampalli A, Mohammadi A, Mondal S, Parida G, 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, Babaev A, Belyaev A, Blinov V, Boos E, Borshch V, Budkouski D, Chekhovsky V, Chistov R, Danilov M, Dermenev A, Dimova T, Druzhkin D, Dubinin M, Dudko L, Ershov A, Gavrilov G, Gavrilov V, Gninenko S, Golovtcov V, Golubev N, Golutvin I, Gorbunov I, Ivanov Y, Kachanov V, Karjavine V, Karneyeu A, Kim V, Kirakosyan M, Kirpichnikov D, Kirsanov M, Klyukhin V, Kodolova O, Korenkov V, Kozyrev A, Krasnikov N, Lanev A, Levchenko P, Lukina O, Lychkovskaya N, Makarenko V, Malakhov A, Matveev V, Murzin V, Nikitenko A, Obraztsov S, Oreshkin V, Palichik V, Perelygin V, Petrushanko S, Polikarpov S, Popov V, Radchenko O, Savina M, Savrin V, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Slabospitskii S, Smirnov V, Snigirev A, Sosnov D, Sulimov V, Tcherniaev E, Terkulov A, Teryaev O, Tlisova I, Toropin A, Uvarov L, Uzunian A, Vardanyan I, Vorobyev A, Voytishin N, Yuldashev BS, Zarubin A, Zhizhin I, Zhokin A. Measurement of Energy Correlators inside Jets and Determination of the Strong Coupling α_{S}(m_{Z}). PHYSICAL REVIEW LETTERS 2024;133:071903. [PMID: 39213583 DOI: 10.1103/physrevlett.133.071903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 05/17/2024] [Accepted: 06/10/2024] [Indexed: 09/04/2024] Abstract Energy correlators that describe energy-weighted distances between two or three particles in a hadronic jet are measured using an event sample of sqrt[s]=13 TeV proton-proton collisions collected by the CMS experiment and corresponding to an integrated luminosity of 36.3 fb^{-1}. The measured distributions are consistent with the trends in the simulation that reveal two key features of the strong interaction: confinement and asymptotic freedom. By comparing the ratio of the measured three- and two-particle energy correlator distributions with theoretical calculations that resum collinear emissions at approximate next-to-next-to-leading-logarithmic accuracy matched to a next-to-leading-order calculation, the strong coupling is determined at the Z boson mass: α_{S}(m_{Z})=0.1229_{-0.0050}^{+0.0040}, the most precise α_{S}(m_{Z}) value obtained using jet substructure observables. Collapse Key Words Collapse MESH Headings Collapse Grants Collapse
52	Wu H, Luo JY, Yang PY, Yuan KM, Li J. [Comparison of analgesic effect of modified superior trunk block and traditional interscalene brachial plexus block with liposomal bupivacaine after arthroscopic rotator cuff repair]. ZHONGHUA YI XUE ZA ZHI 2024;104:2928-2935. [PMID: 39118339 DOI: 10.3760/cma.j.cn112137-20240121-00151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 08/10/2024] Abstract Objective: To compare the postoperative analgesic effect of modified superior trunk block and traditional interscalene brachial plexus block in arthroscopic rotator cuff repair. Methods: A total of 40 patients undergoing arthroscopic rotator cuff repair in the Second Affiliated Hospital of Wenzhou Medical University from October to November 2023 were prospectively included, whose American Society of Anesthesiologists (ASA) grade were Ⅰ-Ⅱ. They were divided into modified superior trunk block group (group S) and interscalene brachial plexus block group (group I) by random number table according to different nerve block methods, with 20 cases in each group. Local anesthetics was a mixture of 1.33% liposomal bupivacaine and 0.5% levobupivacaine hydrochloride injection in equal volume. Patients in group S were injected 5 ml mixture for ultrasound-guided modified superior trunk block, and patients in group I were injected with 15 ml mixture for ultrasound-guided traditional interscalene block respectively. Both groups underwent superficial cervical plexus block (5 ml mixture). Standardized general anesthesia and standardized postoperative analgesia were followed. The primary outcome measures included 48 h resting numerical rating scale (NRS) scores after surgery and the incidence of hemidiaphragmatic paralysis (HDP) at 30 min after block. The secondary outcome measures included resting NRS scores during the post anesthesia care unit (PACU), 12, 24, and 36 h after surgery, postoperative opioid consumption and satisfaction with analgesia, pulse oxygen saturation (SpO2) at 30 min after block, sensory and motor block duration, and the incidence of perioperative adverse reactions. The non-inferiority cut-off value of resting NRS scores for patients in group S was set as"1 point"at each observation time point after surgery. Results: In group S, one patient was excluded because the target nerve was blocked by the subclavian vein and could not be blocked, nineteen patients [11 males and 8 females, aged (52.2±9.0) years] were eventually included. In group I, there were 7 males and 13 females, aged (55.0±5.1) years. Resting NRS scores of group S and Group I at 48 h after surgery were 0 (0, 0) and 0 (0, 0.8) point, respectively, with no statistical significance (P>0.05). The median difference was 0 (95%CI:0-0) point and the upper 95%CI was 0 point, which was lower than the preset non-inferiority cut-off value"1 point"(non-inferiority P<0.001). The incidence of HDP in group S and group I were 5% (1/19) and 75% (15/20), respectively, with statistically significant (P<0.001). There were no significant differences in resting NRS scores at PACU and 12, 24, 36 h after surgery, opioid dosage, satisfaction with analgesia, SpO2 at 30 min after block, sensory and motor block duration between two groups (all P>0.05). No respiratory adverse events such as hypoxemia and airway spasm occurred in two groups after extubation. One patient in group I showed symptoms of breath shortness when entering PACU, and 3 patients felt uncomfortable due to prolonged numbness and weakness of the blockade limb (>2 days). No nerve block procedures and opioid drugs relative adverse reactions and no neurological complications happened in both groups. Conclusion: Liposomal bupivacaine usage for modified superior trunk block can provide long-term postoperative analgesic effects which is noninferior to traditional interscalene brachial plexus block and causes less HDP in patients undergoing arthroscopic rotator cuff repair. Collapse Key Words Collapse MESH Headings Humans Brachial Plexus Block/methods Arthroscopy Bupivacaine/administration & dosage Anesthetics, Local/administration & dosage Pain, Postoperative/prevention & control Liposomes Rotator Cuff/surgery Brachial Plexus Nerve Block/methods Female Male Middle Aged Analgesia/methods Collapse Grants Y20220946 Science and Technology Planning Project of Wenzhou Collapse
53	Cao Z, Aharonian F, An Q, Axikegu, Bai YX, Bao YW, Bastieri D, Bi XJ, Bi YJ, Cai JT, Cao Q, Cao WY, Cao Z, Chang J, Chang JF, Chen AM, Chen ES, Chen L, Chen L, Chen L, Chen MJ, Chen ML, Chen QH, Chen SH, Chen SZ, Chen TL, Chen Y, Cheng N, Cheng YD, Cui MY, Cui SW, Cui XH, Cui YD, Dai BZ, Dai HL, Dai ZG, Danzengluobu, Della Volpe D, Dong XQ, Duan KK, Fan JH, Fan YZ, Fang J, Fang K, Feng CF, Feng L, Feng SH, Feng XT, Feng YL, Gabici S, Gao B, Gao CD, Gao LQ, Gao Q, Gao W, Gao WK, Ge MM, Geng LS, Giacinti G, Gong GH, Gou QB, Gu MH, Guo FL, Guo XL, Guo YQ, Guo YY, Han YA, He HH, He HN, He JY, He XB, He Y, Heller M, Hor YK, Hou BW, Hou C, Hou X, Hu HB, Hu Q, Hu SC, Huang DH, Huang TQ, Huang WJ, Huang XT, Huang XY, Huang Y, Huang ZC, Ji XL, Jia HY, Jia K, Jiang K, Jiang XW, Jiang ZJ, Jin M, Kang MM, Ke T, Kuleshov D, Kurinov K, Li BB, Li C, Li C, Li D, Li F, Li HB, Li HC, Li HY, Li J, Li J, Li J, Li K, Li WL, Li WL, Li XR, Li X, Li YZ, Li Z, Li Z, Liang EW, Liang YF, Lin SJ, Liu B, Liu C, Liu D, Liu H, Liu HD, Liu J, Liu JL, Liu JY, Liu MY, Liu RY, Liu SM, Liu W, Liu Y, Liu YN, Lu R, Luo Q, Lv HK, Ma BQ, Ma LL, Ma XH, Mao JR, Min Z, Mitthumsiri W, Mu HJ, Nan YC, Neronov A, Ou ZW, Pang BY, Pattarakijwanich P, Pei ZY, Qi MY, Qi YQ, Qiao BQ, Qin JJ, Ruffolo D, Sáiz A, Semikoz D, Shao CY, Shao L, Shchegolev O, Sheng XD, Shu FW, Song HC, Stenkin YV, Stepanov V, Su Y, Sun QN, Sun XN, Sun ZB, Tam PHT, Tang QW, Tang ZB, Tian WW, Wang C, Wang CB, Wang GW, Wang HG, Wang HH, Wang JC, Wang K, Wang LP, Wang LY, Wang PH, Wang R, Wang W, Wang XG, Wang XY, Wang Y, Wang YD, Wang YJ, Wang ZH, Wang ZX, Wang Z, Wang Z, Wei DM, Wei JJ, Wei YJ, Wen T, Wu CY, Wu HR, Wu S, Wu XF, Wu YS, Xi SQ, Xia J, Xia JJ, Xiang GM, Xiao DX, Xiao G, Xin GG, Xin YL, Xing Y, Xiong Z, Xu DL, Xu RF, Xu RX, Xu WL, Xue L, Yan DH, Yan JZ, Yan T, Yang CW, Yang F, Yang FF, Yang HW, Yang JY, Yang LL, Yang MJ, Yang RZ, Yang SB, Yao YH, Yao ZG, Ye YM, Yin LQ, Yin N, You XH, You ZY, Yu YH, Yuan Q, Yue H, Zeng HD, Zeng TX, Zeng W, Zha M, Zhang BB, Zhang F, Zhang HM, Zhang HY, Zhang JL, Zhang LX, Zhang L, Zhang PF, Zhang PP, Zhang R, Zhang SB, Zhang SR, Zhang SS, Zhang X, Zhang XP, Zhang YF, Zhang Y, Zhang Y, Zhao B, Zhao J, Zhao L, Zhao LZ, Zhao SP, Zheng F, Zhou B, Zhou H, Zhou JN, Zhou M, Zhou P, Zhou R, Zhou XX, Zhu CG, Zhu FR, Zhu H, Zhu KJ, Zuo X. Constraints on Ultraheavy Dark Matter Properties from Dwarf Spheroidal Galaxies with LHAASO Observations. PHYSICAL REVIEW LETTERS 2024;133:061001. [PMID: 39178452 DOI: 10.1103/physrevlett.133.061001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 05/01/2024] [Accepted: 06/12/2024] [Indexed: 08/25/2024] Abstract In this Letter we try to search for signals generated by ultraheavy dark matter at the Large High Altitude Air Shower Observatory (LHAASO) data. We look for possible γ rays by dark matter annihilation or decay from 16 dwarf spheroidal galaxies in the field of view of the LHAASO. Dwarf spheroidal galaxies are among the most promising targets for indirect detection of dark matter that have low fluxes of astrophysical γ-ray background while having large amount of dark matter. By analyzing more than 700 days of observational data at LHAASO, no significant dark matter signal from 1 TeV to 1 EeV is detected. Accordingly we derive the most stringent constraints on the ultraheavy dark matter annihilation cross section up to EeV. The constraints on the lifetime of dark matter in decay mode are also derived. Collapse Key Words Collapse MESH Headings Collapse Grants Collapse
54	Di WY, Zhang K, Li JS, Yu J, Li J, Li YT, Zhang JH, Yang XY, Sun L, Zhao WX, Su W. [Clinicopathological features of tubular cystic renal cell carcinoma]. ZHONGHUA BING LI XUE ZA ZHI = CHINESE JOURNAL OF PATHOLOGY 2024;53:843-845. [PMID: 39103267 DOI: 10.3760/cma.j.cn112151-20231225-00437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 08/07/2024] Abstract Collapse Key Words Collapse MESH Headings Humans Carcinoma, Renal Cell/pathology Carcinoma, Renal Cell/genetics Carcinoma, Renal Cell/metabolism Kidney Neoplasms/pathology Kidney Neoplasms/genetics Kidney Neoplasms/metabolism Male Middle Aged Female Aged Retrospective Studies Basic Helix-Loop-Helix Leucine Zipper Transcription Factors/genetics Basic Helix-Loop-Helix Leucine Zipper Transcription Factors/metabolism PAX8 Transcription Factor/metabolism PAX8 Transcription Factor/genetics PAX2 Transcription Factor/metabolism PAX2 Transcription Factor/genetics Racemases and Epimerases/metabolism Racemases and Epimerases/genetics Nephrectomy Follow-Up Studies Collapse Grants Collapse
55	Du YR, Li J, Li HL, Guan CY, Li SX, Xue J, Gao ZF, Lu DH, Dong GH. [Clinicopathological analysis of intracranial isolated cortical venous thrombosis]. ZHONGHUA BING LI XUE ZA ZHI = CHINESE JOURNAL OF PATHOLOGY 2024;53:846-848. [PMID: 39103268 DOI: 10.3760/cma.j.cn112151-20240220-00100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 08/07/2024] Abstract Collapse Key Words Collapse MESH Headings Humans Male Female Middle Aged Adult Retrospective Studies Venous Thrombosis/pathology Intracranial Thrombosis/pathology Intracranial Thrombosis/diagnostic imaging Intracranial Thrombosis/metabolism Magnetic Resonance Imaging Young Adult Cerebral Infarction/pathology Cerebral Infarction/diagnostic imaging Cerebral Infarction/metabolism Fibrin Fibrinogen Degradation Products/metabolism Headache/etiology Cerebral Cortex/pathology Cerebral Cortex/blood supply Cerebral Cortex/diagnostic imaging Diagnosis, Differential Temporal Lobe/pathology Temporal Lobe/diagnostic imaging Cerebral Hemorrhage/diagnostic imaging Cerebral Hemorrhage/pathology Seizures/etiology Brain Edema/pathology Frontal Lobe/pathology Frontal Lobe/diagnostic imaging Frontal Lobe/blood supply Collapse Grants Collapse
56	Guo X, Li J, Wang HM, Qiu J, Li Z, Huang F, Li J, Sun XD. [Vaccine development based on RNA technology platforms]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2024;58:1263-1277. [PMID: 39142899 DOI: 10.3760/cma.j.cn112150-20230831-00147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 08/16/2024] Abstract mRNA vaccine technology has made significant progress in recent years, especially with the large-scale application driven by the COVID-19 pandemic. Moderna and Pfizer/BioNTech vaccines have become central tools in the global fight against the virus, demonstrating the potential of the mRNA platform for rapid design, production, and strong immune responses. These vaccines showcase the unique advantages of rapid response and effective protection. At the same time, mRNA technology still faces challenges, such as stability and targeted delivery. Future research will focus on improving the stability and safety of mRNA vaccine and expanding its application to more infectious diseases and cancer treatments. This article reviews platforms of mRNA vaccine, vaccine design, development of delivery system, and the application of mRNA vaccines, in order to enhance the understanding of professionals and accelerate the layout of this technology in vaccine research and application in China. Collapse Key Words Collapse MESH Headings COVID-19 Vaccines Humans COVID-19/prevention & control Vaccine Development mRNA Vaccines SARS-CoV-2 Vaccines, Synthetic RNA, Messenger/genetics Collapse Grants Talent Training Project for Public Health Collapse
57	Wang JY, Zhou BJ, Cao QZ, Peng C, Chen ML, Chen X, Li J. [Efficacy and safety of dupilumab in the treatment of moderate to severe atopic dermatitis]. ZHONGHUA YI XUE ZA ZHI 2024;104:2810-2816. [PMID: 39085148 DOI: 10.3760/cma.j.cn112137-20240114-00104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 08/02/2024] Abstract Objective: To analyse the efficacy and safety of dupilumab in the treatment of moderate to severe atopic dermatitis (AD). Methods: The clinical data of moderate to severe AD patients who received dupilumab therapy in the Department of Dermatology, Xiangya Hospital, Central South University from August 2020 to November 2022 were retrospectively analyzed. The efficacy was evaluated by Eczema Area and Severity Index (EASI), SCORing Atopic Dermatitis (SCORAD), Numerical Rating Scale (NRS), Patient Oriented Eczema Measure (POEM), and Dermatology Quality of Life Index (DLQI) before treatment and 2, 4, 16 and 24 weeks after treatment. Adverse events that occurred during treatment were recorded. Repeated Measures ANOVA and Generalized Estimating Equations were used to compare changes in scores and changes in laboratory indices at different time points before and after treatment. Results: The age of 259 patients was (35.4±25.9) years, the duration of AD was 4.00 (2.00, 9.00) years, and 64.1% (166 patients) were men patients. The scores of EASI, SCORAD, POEM, DLQI and NRS at 2, 4, 16 and 24 weeks after treatment with dupilumab were significantly lower than those before treatment (all P<0.001). The proportions of EASI50, EASI75, and EASI90 were 91.0% (101/111), 71.2% (79/111), and 40.5% (45/111) at 16 weeks, and 95.0% (76/80), 80.0% (64/80) and 45.0% (36/80) at 24 weeks, respectively. Basal total IgE levels (P=0.005) and EOS counts (P<0.001) at Week 24 were significantly lower than those before treatment. Adverse events occurred in 54 patients (20.9%), mainly manifested as intractable erythema of the face and neck (5.0%, 13 patients) and conjunctivitis (1.9%, 5 patients). Conclusions: Dupilumab can effectively improve the rash area, rash severity and itchiness of moderate to severe atopic dermatitis, improve the quality of life of patients, and reduce the incidence of adverse effects. Collapse Key Words Collapse MESH Headings Humans Dermatitis, Atopic/drug therapy Antibodies, Monoclonal, Humanized/therapeutic use Antibodies, Monoclonal, Humanized/adverse effects Adult Male Female Retrospective Studies Severity of Illness Index Quality of Life Treatment Outcome Middle Aged Young Adult Collapse Grants 82173424, 81974476 National Natural Science Foundation of China Collapse
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Wertz S, Alves GA, Coelho E, Hensel C, De Oliveira TM, Moraes A, Rebello Teles P, Soeiro M, Aldá Júnior WL, Alves Gallo Pereira M, Barroso Ferreira Filho M, Brandao Malbouisson H, Carvalho W, Chinellato J, Da Costa EM, Da Silveira GG, De Jesus Damiao D, Fonseca De Souza S, Gomes De Souza R, Martins J, Mora Herrera C, Mundim L, Nogima H, Pinheiro JP, Santoro A, Sznajder A, Thiel M, Vilela Pereira A, Bernardes CA, Calligaris L, 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, Litov L, Pavlov B, Petkov P, Petrov A, Shumka E, Keshri S, Thakur S, Cheng T, Javaid T, Yuan L, Hu Z, Liu J, Yi K, Chen GM, Chen HS, Chen M, Iemmi F, Jiang CH, Kapoor A, Liao H, Liu ZA, Sharma R, Song JN, Tao J, Wang C, Wang J, Wang Z, Zhang H, Agapitos A, Ban Y, Levin A, Li C, Li Q, Mao Y, Qian SJ, Sun X, Wang D, Yang H, Zhang L, Zhou C, You Z, Lu N, Bauer G, Gao X, Leggat D, Okawa 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Constraints on anomalous Higgs boson couplings from its production and decay using the WW channel in proton-proton collisions at s = 13 TeV. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2024;84:779. [PMID: 39115154 PMCID: PMC11300562 DOI: 10.1140/epjc/s10052-024-12925-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Accepted: 05/16/2024] [Indexed: 08/10/2024] Abstract A study of the anomalous couplings of the Higgs boson to vector bosons, including CP -violation effects, has been conducted using its production and decay in the WW channel. This analysis is performed on proton-proton collision data collected with the CMS detector at the CERN LHC during 2016-2018 at a center-of-mass energy of 13 TeV, and corresponds to an integrated luminosity of 138fb - 1 . The different-flavor dilepton ( e μ ) final state is analyzed, with dedicated categories targeting gluon fusion, electroweak vector boson fusion, and associated production with a W or Z boson. Kinematic information from associated jets is combined using matrix element techniques to increase the sensitivity to anomalous effects at the production vertex. A simultaneous measurement of four Higgs boson couplings to electroweak vector bosons is performed in the framework of a standard model effective field theory. All measurements are consistent with the expectations for the standard model Higgs boson and constraints are set on the fractional contribution of the anomalous couplings to the Higgs boson production cross section. Collapse Key Words Collapse MESH Headings Collapse Grants Austrian Federal Ministry of Education, Science and Research Austrian Science Fund Belgian Fonds de la Recherche Scientifique Belgian Fonds voor Wetenschappelijk Onderzoek CNPq CAPES FAPERJ FAPERGS FAPESP Bulgarian Ministry of Education and Science Bulgarian National Science Fund CERN Chinese Academy of Sciences Ministry of Science and Technology Chinese National Natural Science Foundation of China Colombian Funding Agency (MINICIENCIAS) Croatian Ministry of Science, Education and Sport Croatian Science Foundation Research and Innovation Foundation SENESCYT Ministry of Education and Research Estonian Research Council via PRG780, PRG803, and PRG445 European Regional Development Fund Academy of Finland Finnish Ministry of Education and Culture Helsinki Institute of Physics Institut National de Physique Nucléaire et de Physique des Particules Centre National de la Recherche Scientifique Commissariat à l’Énergie Atomique et aux Énergies Alternatives Bundesministerium für Bildung und Forschung Deutsche Forschungsgemeinschaft Helmholtz-Gemeinschaft Deutscher Forschungszentren General Secretariat for Research and Innovation National Research, Development and Innovation Office Department of Atomic Energy Department of Science and Technology Institute for Research in Fundamental Studies Science Foundation Istituto Nazionale di Fisica Nucleare Korean Ministry of Education, Science and Technology National Research Foundation of Korea (NRF) MES Lithuanian Academy of Sciences Ministry of Education University of Malaya BUAP CINVESTAV CONACYT LNS SEP UASLP MOS Ministry of Business, Innovation and Employment Pakistan Atomic Energy Commission Ministry of Educaton and Science National Science Centre Fundação para a Ciência e a Tecnologia, CERN/FIS-PAR/0025/2019 and CERN/FIS-INS/0032/2019 Ministry of Education, Science and Technological Development of Serbia MCIN/AEI/10.13039/501100011033, ERDF “a way of making Europe” Fondo Europeo de Desarrollo Regional, Spain Plan de Ciencia, Tecnología e Innovación del Principado de Asturias MOSTR ETH Board ETH Zurich PSI SNF UniZH Canton Zurich SER Thailand Center of Excellence in Physics Institute for the Promotion of Teaching Science and Technology of Thailand Special Task Force for Activating Research National Science and Technology Development Agency of Thailand Scientific and Technical Research Council of Turkey Turkish Atomic Energy Authority National Academy of Sciences of Ukraine Science and Technology Facilities Council US Department of Energy US National Science Foundation Marie-Curie programme European Research Council and EPLANET (European Union) European Research Council/European Cooperation in Science and Technology), Action CA16108 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 Collapse
59	Xue P, Yue F, Li S, Cheng W, Zhou H, Yan W, Zhou Y, Tang J, Li J, Zhang J. A multicenter randomized controlled trial comparing short- and medium-term outcomes of novel biologics and lightweight synthetic mesh for laparoscopic inguinal hernia repair. Hernia 2024;28:1337-1344. [PMID: 38902558 DOI: 10.1007/s10029-024-03046-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 04/13/2024] [Indexed: 06/22/2024] Abstract INTRODUCTION The use of biological graft in laparoscopic inguinal hernia repair (LIHR) has been controversial, and there is a lack of high-level evidence to confirm the value of biological graft in LIHR. The purpose of this study is to evaluate the effectiveness of a novel composite biologics in LIHR. METHODS A multicenter, single-blinded, randomized controlled clinical trial was designed. Fifty patients with unilateral primary inguinal hernia were randomly assigned to the experimental and control group (1:1). The experimental group was repaired with a non-crosslinked composite extracellular matrix from porcine urinary bladder matrix and small intestinal submucosa (UBM/SIS). The control group was repaired with a lightweight, large-pore, synthetic mesh. The primary endpoint was the effectiveness rate of hernia repair. RESULTS The patients were followed up for four years. No significant difference was found between the experimental group and the control group in the effective rate of hernia repair (24/24[100%] vs 21/22[95.45%], RR, 0.4667; 95%CI, 0.3294-2.304; P = 0.4783). There was no fever, seroma, infection, groin pain, foreign body discomfort or recurrence in the experimental group during the follow-up. In the control group, there were 2 cases of seroma 14 days after operation, 1 case of groin discomfort 60 days after operation and one case of recurrence 410 days after surgery. CONCLUSION Compared with the lightweight synthetic mesh, the novel UBM/SIS graft has comparable short-term and medium-term effectiveness in LIHR, and the incidence of postoperative complications such as seroma groin discomfort is lower. Trial registration Clinical Trials Registry: ChiCTR1800020173. Collapse Key Words Biologics Laparoscopic inguinal hernia repair UBM/SIS composite graft Collapse MESH Headings Humans Hernia, Inguinal/surgery Surgical Mesh Herniorrhaphy/methods Herniorrhaphy/instrumentation Herniorrhaphy/adverse effects Middle Aged Male Laparoscopy/methods Female Single-Blind Method Adult Treatment Outcome Aged Biological Products/therapeutic use Collapse Grants 2019-JCJQ-ZQ-002 National Defense Science and Technology Excellent Youth Science Fund 2019-JCJQ-JQ-069 National Defense Science and Technology Foundation Strengthening Plan Collapse
60	Li Y, Lv Y, Li J, Ling P, Guo X, Zhang L, Ni J, Long Y. Dexamethasone relieves the inflammatory response caused by inguinal hernia meshes through miR-155. Hernia 2024;28:1113-1119. [PMID: 38492053 DOI: 10.1007/s10029-024-02985-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 02/06/2024] [Indexed: 03/18/2024] Abstract BACKGROUND Inguinal hernia is a relatively common condition. Most patients with inguinal hernia require surgery. At present, mesh repair is one of the most effective methods to treat inguinal hernia, but insertion of the mesh can cause inflammation. Dexamethasone (DEX) can treat inflammation, but the mechanism by which DEX alleviates inflammation caused by inguinal hernia mesh placement remains unclear. METHOD We randomly divided rats into groups: negative control (NC), inguinal hernia (IH), polypropylene mesh (PM), DEX treatment, and miR-155 treatment groups. RT-qPCR was performed to determine the expression of miR-155. ELISA was implemented to determine the secretion of IL-1β, IL-6, and IL-18. Western blotting was used to detect caspase-1, JAK1, p-JAK1, STAT3, and p-STAT3 expression. A dual-luciferase reporter gene array identified a connection between miR-155 and JAK1. RESULTS The results revealed that the expression of miR-155, IL-1β, IL-6, and IL-18 was upregulated in the PM group. After DEX treatment, the secretion of miR-155, caspase-1, IL-1β, IL-6, and IL-18 decreased. Dual luciferase results confirmed that miR-155 induced the targeted downregulation of JAK1, while a miR-155 mimic reversed the therapeutic effect of DEX, and the expression levels of p-JAK1 and p-STAT3 increased. CONCLUSION DEX regulates the JAK1/STAT3 signaling pathway through miR-155 to relieve inflammation caused by inguinal hernia meshes. Collapse Key Words Dexamethasone Inflammatory Inguinal hernia meshes miR-155 Collapse MESH Headings MicroRNAs/metabolism Dexamethasone/therapeutic use Dexamethasone/pharmacology Animals Hernia, Inguinal/surgery Surgical Mesh/adverse effects Rats Janus Kinase 1/metabolism Janus Kinase 1/genetics Inflammation/metabolism Male Anti-Inflammatory Agents/pharmacology Rats, Sprague-Dawley STAT3 Transcription Factor/metabolism STAT3 Transcription Factor/genetics Interleukin-1beta/metabolism Interleukin-1beta/genetics Interleukin-6/metabolism Interleukin-6/genetics Caspase 1/metabolism Caspase 1/genetics Interleukin-18/metabolism Herniorrhaphy/adverse effects Herniorrhaphy/methods Random Allocation Collapse Grants 320.6750.18403 Wu Jieping Medical Foundation-Scientific Research Projects Collapse
61	Wang Y, Xing J, Liang Y, Liang H, Liang N, Li J, Yin G, Li X, Zhang K. The structure and function of multifunctional protein ErbB3 binding protein 1 (Ebp1) and its role in diseases. Cell Biol Int 2024;48:1069-1079. [PMID: 38884348 DOI: 10.1002/cbin.12196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 05/20/2024] [Accepted: 05/27/2024] [Indexed: 06/18/2024] Abstract ErbB3-binding protein 1(Ebp1) has two isoforms, p42 Ebp1 and p48 Ebp1, both of which can regulate cell growth and differentiation. But these isoforms often have opposite effects, including contradictory roles in regulation of cell growth in different tissues and cells. P48 Ebp1 belongs to the full-length sequence, while conformational changes in the crystal structure of p42 Ebp1 reveals a lack of an α helix at the amino terminus. Due to the differences in the structures of these two isoforms, they have different binding partners and protein modifications. Ebp1 can function as both an oncogene and a tumor suppressor factor. However, the underlying mechanisms by which these two isoforms exert opposite functions are still not fully understood. In this review, we summarize the genes and the structures of protein of these two isoforms, protein modifications, binding partners and the association of different isoforms with diseases. Collapse Key Words Ebp1 diseases oncogene tumor suppressor gene Collapse MESH Headings Humans Protein Isoforms/metabolism Animals RNA-Binding Proteins/metabolism RNA-Binding Proteins/chemistry Adaptor Proteins, Signal Transducing/metabolism Adaptor Proteins, Signal Transducing/chemistry CCAAT-Enhancer-Binding Proteins/metabolism Neoplasms/metabolism Protein Binding Collapse Grants 202203021212020 Shanxi Provincial Science and Technology Department 82273539 National Natural Science Foundation of China Collapse
62	Peng J, Zhang Y, Liu Q, Tang Y, Zhang W, Zheng S, Huang W, Yang M, He Y, Li Z, Xie L, Li J, Wang J, Zhou Y. Allicin in pregnancy diets modulates steroid metabolism in pregnant sows and placental sulphate metabolism promoting placental angiogenesis and foetal development. Animal 2024;18:101224. [PMID: 39024999 DOI: 10.1016/j.animal.2024.101224] [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: 02/24/2024] [Revised: 06/13/2024] [Accepted: 06/14/2024] [Indexed: 07/20/2024] Open Abstract The low-birth-weight of piglets is an important factor affecting pig enterprises. The placenta, as a key organ for material exchange between mother and foetus, directly influences the growth and development of the foetus. Allicin exhibits various biological activities, including anti-inflammatory and antioxidant properties. It may also play a crucial role in enhancing sow reproductive performance and placental angiogenesis. In this study, we used 70 lactating Landrace × Yorkshire binary heterozygous sows to explore the effect of allicin on the reproductive performance of sows and placental development. The sows were randomly assigned into the Allicin group (Allicin), which was fed with a diet containing 0.25% allicin, and the negative control group, which was fed with basal feed. The experimental period lasted for 114 d from the date of mating to the end of farrowing. The results showed that the addition of allicin to the gestation diets increased the number of total born piglets, born alive piglets, and high-birth-weight piglets, reduced peripartum oxidative stress, alleviated dysregulation of glucose-lipid metabolism in sows, and increased the levels of antioxidant markers in the placenta. Differential analysis of metabolites in maternal plasma and placenta samples by non-targeted metabolomics revealed that allicin improved cholesterol metabolism, steroid biosynthesis, and increased plasma progesterone levels in sows. Allicin promoted sulphur metabolism, cysteine and methionine metabolism in placental samples and increased the hydrogen sulphide (H2S) content in the placenta. In addition, Quantitative Real-time PCR, Western blot and immunofluorescence results showed that allicin upregulated the expression of angiogenesis-related genes, VEGF-A, FLK 1 and Ang 1, in the placenta, implying that it promoted placental angiogenesis. These results indicate that supplementing the diet of pregnant sows with allicin reduces oxidative stress, alleviates dysregulation of glucose-lipid metabolism during the periparturient period, and promotes placental angiogenesis and foetal development by increasing plasma progesterone level and placental H2S content. Collapse Key Words Hydrogen sulphide Intrauterine growth restriction Maternal Nutrition Reproductive performance Collapse MESH Headings Animals Female Pregnancy Angiogenesis/drug effects Animal Feed/analysis Antioxidants/metabolism Dietary Supplements Disulfides/administration & dosage Fetal Development/drug effects Neovascularization, Physiologic/drug effects Oxidative Stress/drug effects Placenta/metabolism Placenta/drug effects Placentation/drug effects Steroids/metabolism Sulfates Sulfinic Acids/administration & dosage Swine/growth & development Collapse Grants Collapse
63	Yuan Y, Duan W, Yang N, Sun C, Nie Q, Li J, Lian L. Transcriptome analysis of long non-coding RNA associated with embryonic muscle development in chickens. Br Poult Sci 2024;65:394-402. [PMID: 38738875 DOI: 10.1080/00071668.2024.2335935] [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: 01/19/2024] [Accepted: 03/08/2024] [Indexed: 05/14/2024] Abstract 1. Skeletal muscle is an important component of chicken carcass. In chickens, the number of muscle fibres is fixed during the embryonic period, and muscle development during the embryonic period determines the muscle development potential after hatching.2. Beijing-You (BY) and Cornish (CN) chickens show completely different growth rates and body types, and two breeds were used in this study to explore the role of lncRNAs in muscle development during different chicken embryonic periods. A systematic analysis of lncRNAs and mRNAs were conducted in the pectoral muscle tissues of BY and CN chickens at embryonic days 11 (ED11), 13 (ED13), 15 (ED15), 17 (ED17), and 1-day-old (D1) using RNA-seq. A total of 4,104 differentially expressed transcripts (DETs) were identified among the five stages, including 2,359 lncRNAs and 1,745 mRNAs.3. The number of DETs between the two breeds at ED17 (1,658 lncRNAs and 1,016 mRNAs) was much higher than the total number of DET at all the other stages (692 lncRNAs and 729 mRNAs), indicating that the two breeds show the largest difference in gene regulation at ED17.4. Correlation analysis was performed for all differentially expressed lncRNAs and mRNAs during the five periods. Forty-three, cis interaction pairs of lncRNA-mRNA related to chicken muscle development were predicted. The expression of four pairs was verified, and the results showed MSTRG.12395.2-FGFBP2 and MSTRG.18590.6-FMOD were significantly up-regulated in CN at ED11 compared to BY and might be important candidate genes for embryonic muscle development. Collapse Key Words Chicken embryonic lncRNA muscle fibre target gene Collapse MESH Headings Animals RNA, Long Noncoding/genetics RNA, Long Noncoding/metabolism Chickens/genetics Chickens/growth & development Muscle Development/genetics Gene Expression Profiling/veterinary Chick Embryo RNA, Messenger/genetics RNA, Messenger/metabolism Gene Expression Regulation, Developmental Transcriptome Pectoralis Muscles Collapse Grants Collapse
64	Zhang JF, Pan YW, Li J, Kong XG, Wang M, Xue ZM, Gao J, Fu GS. Comparison of His-Purkinje Conduction System Pacing with Atrial-Ventricular Node Ablation and Pharmacotherapy in HFpEF Patients with Recurrent Persistent Atrial Fibrillation (HPP-AF study). Cardiovasc Drugs Ther 2024;38:847-858. [PMID: 36749453 DOI: 10.1007/s10557-023-07435-2] [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] [Accepted: 01/23/2023] [Indexed: 02/08/2023] Abstract BACKGROUND There is currently no particularly effective strategy for patients with persistent atrial fibrillation accompanying heart failure with preserved ejection fraction (HFpEF), especially with recurrent atrial fibrillation after ablation. In this study, we will evaluate a new treatment strategy for patients with persistent atrial fibrillation who had at least two attempts (≧2 times) of radio-frequency catheter ablation but experienced recurrence, and physiologic conduction was reconstructed after atrioventricular node ablation or drug therapy, to control the patient's ventricular rate to maintain a regular heart rhythm, which is called His-Purkinje conduction system pacing (HPCSP) with atrioventricular node ablation. METHODS AND RESULTS This investigator-initiated, multicenter prospective randomized controlled trial aimed to recruit 296 randomized HFpEF patients with recurrent atrial fibrillation. All the enrolled patients were randomly assigned to the pacing group or the drug treatment group. The primary endpoint is differences in cardiovascular events and clinical composite endpoints (all-cause mortality) between patients in the HPCSP and drug-treated groups. Secondary endpoints included heart failure hospitalization, exercise capacity assessed by cardiopulmonary exercise tests, quality of life, echocardiogram parameters, 6-minute walk distance, NT-ProBNP, daily patient activity levels, and heart failure management report recorded by the CIED. It is planned to compete recruitment by the end of 2023 and report in 2025. CONCLUSIONS The study aims to determine whether His-Purkinje conduction system pacing with atrioventricular node ablation can better improve patients' symptoms and quality of life, postpone the progression of heart failure, and reduce the rate of rehospitalization and mortality of patients with heart failure. CLINICAL TRIAL REGISTRATION NUMBER ChiCTR1900027723, URL: http://www.chictr.org.cn/edit.aspx?pid=46128&htm=4. Collapse Key Words Atrioventricular node ablation Heart failure His-bundle pacing Left bundle branch pacing Rate regularization Collapse MESH Headings Aged Female Humans Male Middle Aged Anti-Arrhythmia Agents/therapeutic use Atrial Fibrillation/physiopathology Atrial Fibrillation/therapy Atrial Fibrillation/surgery Atrial Fibrillation/diagnosis Atrial Fibrillation/drug therapy Atrioventricular Node/physiopathology Atrioventricular Node/surgery Bundle of His/physiopathology Cardiac Pacing, Artificial Catheter Ablation/adverse effects Exercise Tolerance/drug effects Heart Failure/physiopathology Heart Failure/therapy Heart Failure/diagnosis Heart Failure/mortality Heart Rate/drug effects Multicenter Studies as Topic Prospective Studies Purkinje Fibers/physiopathology Randomized Controlled Trials as Topic Recurrence Stroke Volume/drug effects Time Factors Treatment Outcome Ventricular Function, Left/drug effects Collapse Grants Collapse
65	Hon KL, Hui TY, Li J, Tan YW, Leung KKY, Hui WF, Cheung WL, Chung FS, Ip P, Yam JCS. Child abuse, neglect, and non-accidental injury: challenging diagnoses in paediatric emergency and critical care. Hong Kong Med J 2024;30:320-324. [PMID: 39183376 DOI: 10.12809/hkmj219768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/27/2024] Open Abstract Collapse Key Words Collapse MESH Headings Humans Child Abuse/diagnosis Critical Care/methods Child Infant Child, Preschool Wounds and Injuries Collapse Grants Collapse
66	Setzer F, Li J, Khan A. The Use of Artificial Intelligence in Endodontics. J Dent Res 2024;103:853-862. [PMID: 38822561 PMCID: PMC11378448 DOI: 10.1177/00220345241255593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/03/2024] Open Abstract Endodontics is the dental specialty foremost concerned with diseases of the pulp and periradicular tissues. Clinicians often face patients with varying symptoms, must critically assess radiographic images in 2 and 3 dimensions, derive complex diagnoses and decision making, and deliver sophisticated treatment. Paired with low intra- and interobserver agreement for radiographic interpretation and variations in treatment outcome resulting from nonstandardized clinical techniques, there exists an unmet need for support in the form of artificial intelligence (AI), providing automated biomedical image analysis, decision support, and assistance during treatment. In the past decade, there has been a steady increase in AI studies in endodontics but limited clinical application. This review focuses on critically assessing the recent advancements in endodontic AI research for clinical applications, including the detection and diagnosis of endodontic pathologies such as periapical lesions, fractures and resorptions, as well as clinical treatment outcome predictions. It discusses the benefits of AI-assisted diagnosis, treatment planning and execution, and future directions including augmented reality and robotics. It critically reviews the limitations and challenges imposed by the nature of endodontic data sets, AI transparency and generalization, and potential ethical dilemmas. In the near future, AI will significantly affect the everyday endodontic workflow, education, and continuous learning. Collapse Key Words computer vision/convolutional neural networks cracked teeth decision making deep learning/machine learning diagnostic systems treatment planning Collapse MESH Headings Humans Artificial Intelligence Endodontics/methods Patient Care Planning Collapse Grants R41 DE031485 NIDCR NIH HHS R44 DE027574 NIDCR NIH HHS national institutes of health Collapse
67	Lu LH, Chen YQ, Li J, Shao SS, Ma FH, Ning Y, Shi Y, Wang C. [Clinicopathological features and prognostic analysis of synchronous mucinous metaplasia and neoplasia of the female genital tract]. ZHONGHUA ZHONG LIU ZA ZHI [CHINESE JOURNAL OF ONCOLOGY] 2024;46:1-14. [PMID: 39077828 DOI: 10.3760/cma.j.cn112152-20240518-00201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/31/2024] Abstract Objective: Synchronous mucinous metaplasia and neoplasia of the female genital tract (SMMN-FGT) occurring at multiple sites during the same period of time is extremely rare, and the aim of this study was to investigate the clinicopathologic features of SMMN-FGT and its relationship with prognosis. Methods: We retrospectively analyzed the clinicopathological features and follow-up records of 25 cases of SMMN-FGT diagnosed from January 2012 to October 2022 in the case database of Obstetrics and Gynecology Hospital of Fudan University. Results: The mean and median age at onset were 47 and 46 years old, respectively. Clinical manifestations included irregular vaginal bleeding or drainage, pelvic pain, and ovarian cysts, etc. Germline genetic test confirmed Peutz-Jeghers syndrome (P-J syndrome) in two patients. All patients underwent surgery, and some had postoperative adjuvant radiotherapy and/or chemotherapy. The most frequent site of lesion was the cervix (21 cases), with 11, 10 and 16 cases occurring in the endometrium, fallopian tubes and ovaries, respectively. Six cases involved three sites simultaneously, and only one case had all four sites involved at the same time. Among the 9 cases with P53 mutation phenotype, 6 cases had gastric-type mucinous adenocarcinoma, 2 cases had lobular endocervical glandular hyperplasia, and 1 case had mucinous adenocarcinoma, whereas all the minimally deviated adenocarcinomas had wild phenotype of P53. The median follow-up time was 59 months, during which 3 cases died and 6 cases developed local recurrence or distant metastasis. According to our analysis, postoperative recurrence or metastasis was correlated with the FIGO stage of the disease, the number of lesion sites and the severe degree of the uterine lesions (P＜0.05). Conclusions: SMMN-FGT had a relatively good clinical prognosis, and even advanced patients could benefit from surgery and adjuvant therapy. In young patients, the ovaries may be preserved if no evidence of lesions were seen after adequate evaluation. In SMMN-FGT, gastric-type mucinous adenocarcinoma occurring in the cervix may have a better prognosis than gastric-type mucinous adenocarcinoma of the cervix alone, so the accurate diagnosis of SMMN-FGT is critical for clinical management. Collapse Key Words Collapse MESH Headings Collapse Grants 22ZR1408900 Sponsored by Natural Science Foundation of Shanghai SHDC2020CR4079 Shanghai Shenkang Clinical Three-Year Action Plan Youth Program 82273233 National Natural Science Foundation of China, General Program 81772777 National Natural Science Foundation of China, General Program SHWJRS2021-99 Shanghai "Rising Stars" Outstanding Young Medical Talent Program Collapse
68	Li J, Li GX, Dong L, Feng F, Chu SH, Yang N, Xie MK, Cheng CH, Sun LQ. [Fetoscopy for intrauterine diagnosis and treatment of amniotic band syndrome: a clinical analysis of 7 cases and literature review]. ZHONGHUA FU CHAN KE ZA ZHI 2024;59:530-539. [PMID: 39056130 DOI: 10.3760/cma.j.cn112141-20240228-00125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/28/2024] Abstract Objective: To summarize the clinical value of fetoscopy in the prenatal diagnosis and treatment of amniotic band syndrome (ABS). Methods: A retrospective analysis was conducted on the clinical data of seven ABS fetuses who underwent prenatal fetoscopic intervention at the Third Affiliated Hospital of Zhengzhou University from December 2020 to August 2023. Literatures related to fetoscopic treatment of ABS were searched in databases including China National Knowledge Infrastructure, Wanfang Data, and PubMed. Clinical data were extracted and the characteristics and intervention effects of fetoscopic surgery in the treatment of ABS were summarized. Results: (1) Preoperative evaluation: the gestational age at diagnosis for the seven ABS fetuses was (19.8±4.4) weeks, and the gestational age at fetoscopic intervention was (22.2±2.8) weeks. The indications for fetoscopic intervention included umbilical cord involvement (3 cases), limb amniotic band with circular constriction (2 cases), and unclear visualization of digits (3 cases). (2) Pregnancy outcomes: among the seven ABS fetuses, four cases underwent selective termination of pregnancy due to severe intrauterine limb amputation, and three cases underwent fetoscopic lysis of amniotic bands. Among the latter three cases, one case experienced intrauterine fetal death (IUFD) two weeks after the procedure, and two cases had good postoperative outcomes. (3) Literature review: a total of 40 cases, including 37 cases from 17 articles and three cases from our institution, were included in the analysis. The indications for fetoscopic surgery included limb amniotic band with circular constriction and involvement of the umbilical cord. The success rate of the surgery was 82% (33/40), and 78% (29/37) of the affected limbs retained good functionality. Premature rupture of membranes was the most common complication, with an incidence rate of 48% (16/33). The average interval from the surgery to membrane rupture was (6.1±5.1) weeks, and the average interval from the surgery to delivery was (10.5±4.1) weeks, with an average gestational age at delivery of (33.7±3.6) weeks. The pregnant women were divided into single Trocar group (27 cases) and double Trocar group (13 cases) based on the surgical approach. The success rates in single Trocar group and double Trocar group were 78% (21/27) and 12/13, respectively, and the difference was not statistically significant (χ2=0.474, P=0.491). The gestational age of delivery in the single Trocar group and double Trocar group was (32.7±3.4) and (35.4±3.2) weeks, respectively, and the difference was statistically significant (t=-2.185, P<0.05). There were no statistically significant differences in the success rate of the surgery, incidence of premature rupture of membranes, interval between surgery and membrane rupture, interval between surgery and delivery, and preterm delivery rate between the two groups (all P>0.05). Conclusions: Fetoscopy could be used for prenatal assessment and intrauterine treatment of ABS. Fetoscopic lysis of amniotic bands may be an effective method for treating ABS, which helps preserve limb function and prevent intrauterine limb amputation and IUFD. Collapse Key Words Collapse MESH Headings Humans Amniotic Band Syndrome/diagnosis Amniotic Band Syndrome/surgery Fetoscopy/methods Female Pregnancy Retrospective Studies Pregnancy Outcome Umbilical Cord/surgery Prenatal Diagnosis/methods Gestational Age Adult Ultrasonography, Prenatal Collapse Grants LHGJ20220536 Medical Science and Technology Development Program of Henan Province Collapse
69	Wang F, Chen DL, Wang ZX, He Y, Li J, Zhang SZ, Chen G, Xu JM, Yuan XL, Zhang YQ, Xu RH. [Current status of palliative care for patients with unresectable metastatic colorectal cancer in China: a questionnaire-based survey]. ZHONGHUA WEI CHANG WAI KE ZA ZHI = CHINESE JOURNAL OF GASTROINTESTINAL SURGERY 2024;27:718-725. [PMID: 39004987 DOI: 10.3760/cma.j.cn441530-20240323-00107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/16/2024] Abstract Objective: To analyze the current adoption of palliative care by patients with unresectable metastatic colorectal cancer (mCRC) in China. Methods: From 1 March 2023 to 30 June 2023, a questionnaire survey was conducted by random sampling. An exclusive research platform for the Blue Book on Clinical Diagnosis and Treatment of Metastatic Colorectal Cancer. An online questionnaire was sent to medical oncologists (including chief physicians, associate chief physicians, attending physicians and residents) in general hospitals and oncology hospitals in four major regions of East, Central, South and Northeast China. The questionnaire contained 28 questions requesting basic information about doctors, the number of patients with mCRC, the status of treatment from first to fourth line and beyond, points concerning treatment of pain in patients with mCRC, and expectations for the future. A medical team was responsible for the quality control of data collected, whereas statisticians performed the data cleaning and sorting and statistical analysis. Results: A total of 300 clinical questionnaires were collected, including 217 (72%) from doctors in general hospitals and 83 (28%) from doctors in oncology hospitals. Senior physicians (including associate chief physicians and chief physicians) accounted for 65% of the respondents, attending physicians 30%, and residents 5%. Within 3 months (average for each month), 46.4±26.6% patients were diagnosed with recurrent or unresectable mCRC by each physician, 51.6±26.8% of the patients being in cancer hospitals and 44.4±26.3% in general hospitals. One hundred percent of patients receiving first-line treatment received palliative care, as did 80.3% of those receiving second-line treatment, 58.2% of those receiving third-line treatment, and 35.1% of those receiving ≥fourth-line treatment. The primary factor governing selection of first-line treatment was guideline recommendations, whereas comorbidities and the patients' physical status dictated second line to fourth line treatment. Standard first-line treatment was administered to 93.8% of eligible patients, standard second-line treatment to 94.3%; and standard third-line treatment to 73.5%. First-line therapy included targeted therapy in 63.6% of patients and immunotherapy in 2.8%; second-line therapy included targeted therapy in 63.0% of patients and immunotherapy in 2.0%; third-line therapy included targeted therapy in 59.2% of patients and immunotherapy in 2.2%; and fourth-line therapy included targeted therapy in 48.7% of patients and immunotherapy in 3.1%. First-line treatment lasted an average of 9.6 months, second-line treatment 6.7 months, third-line treatment 4.9 months, and fourth-line treatment 3.7 months. More than 70% of the patients maintained a good quality of life after receiving first and second-line treatment and more than 60% of them had ECOG performance scores of 0-1. After receiving third- and fourth-line treatment, 50%-60% of patients maintained a good quality of life and 40%-50% of them maintained ECOG performance scores of 0-1. The survey also revealed that the main deficiencies in treatment were limited effectiveness of third-line treatment, insufficient availability and opportunity for clinical research, popularity of new drugs or new drug combination strategies, and limited channels for participation in multidisciplinary diagnosis and treatment. Clinicians reported looking forward to participating in more clinical research on new drugs, hearing about the experience of experts in the field, and discovery of new targets and new drugs that increased the options for posterior line treatment of colorectal cancer. Conclusions: This report objectively summarizes the current situation, treatment difficulties, and expectations of frontline physicians concerning management of mCRC, thus providing a basis for decision-making and future direction for the diagnosis and research on treatment of mCRC. Collapse Key Words Collapse MESH Headings Humans Palliative Care/methods Colorectal Neoplasms/therapy Colorectal Neoplasms/pathology Colorectal Neoplasms/drug therapy Surveys and Questionnaires China Neoplasm Metastasis Oncologists Female Male Collapse Grants 82321003, 81930065, 82173128 National Natural Science Foundation of China Collapse
70	Xing J, Wang Y, Peng A, Li J, Niu X, Zhang K. The role of actin cytoskeleton CFL1 and ADF/cofilin superfamily in inflammatory response. Front Mol Biosci 2024;11:1408287. [PMID: 39114368 PMCID: PMC11303188 DOI: 10.3389/fmolb.2024.1408287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 07/04/2024] [Indexed: 08/10/2024] Open Abstract Actin remodeling proteins are important in immune diseases and regulate cell cytoskeletal responses. These responses play a pivotal role in maintaining the delicate balance of biological events, protecting against acute or chronic inflammation in a range of diseases. Cofilin (CFL) and actin depolymerization factor (ADF) are potent actin-binding proteins that cut and depolymerize actin filaments to generate actin cytoskeleton dynamics. Although the molecular mechanism by which actin induces actin cytoskeletal reconstitution has been studied for decades, the regulation of actin in the inflammatory process has only recently become apparent. In this paper, the functions of the actin cytoskeleton and ADF/cofilin superfamily members are briefly introduced, and then focus on the role of CFL1 in inflammatory response. Collapse Key Words ADF/cofilin superfamily CFL1 actin cytoskeleton cell migration inflammation Collapse MESH Headings Collapse Grants Collapse
71	Deng Y, Wang Y, He PP, Li J, Liu WW, Yuan JS, Zhao HY, Liu ZJ, Shen CY, Shi B. [Mechanisms by which Mettl3 regulates pericyte-myofibroblast transdifferentiation through PI3K/AKT signaling pathway]. ZHONGHUA XIN XUE GUAN BING ZA ZHI 2024;52:814-826. [PMID: 39019831 DOI: 10.3760/cma.j.cn112148-20230917-00168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/19/2024] Abstract Objective: To investigate the role and underlying mechanisms of methyltransferase (Mettl) 3 in the process of angiotensin Ⅱ (Ang Ⅱ)-induced pericyte-to-myofibroblast transdifferentiation and renal fibrosis. Methods: C57BL/6J mice were used, in cell experiments, mouse renal pericytes were isolated and cultured using magnetic bead sorting. These pericytes were then induced to transdifferentiate into myofibroblasts with 1×106 mmol/L Ang Ⅱ, which was the Ang Ⅱ group, while pericytes cultured in normal conditions served as the control group. Successful transdifferentiation was verified by immunofluorescence staining, Western blotting, and real-time reverse transcription PCR (RT-qPCR) for α-smooth muscle actin (α-SMA). The levels of m6A modifications and related enzymes (Mettl3, Mettl14), Wilms tumor 1-associated protein (WTAP), fat mass and obesity protein (FTO), ALKBH5, YTHDF1, YTHDF2, YTHDC1, YTHDC2, YTHDC3 were assessed by Dot blot, RT-qPCR and Western blot. Mettl3 expression was inhibited in cells using lentivirus-mediated Mettl3-shRNA transfection, creating sh-Mettl3 and Ang Ⅱ+sh-Mettl3 groups, while lentivirus empty vector transfection served as the negative control (Ang Ⅱ+sh-NC group). The impact of Ang Ⅱ on pericyte transdifferentiation was observed, and the expression of downstream phosphatidylinositol 3-kinase (PI3K)/AKT signaling pathway proteins, including PI3K, AKT, phosphorylated AKT at serine 473 (p-AKT (S473)), and phosphorylated AKT at threonine 308 (p-AKT (T308)), were examined. PI3K gene transcription was inhibited by co-culturing cells with actinomycin D, and the half-life of PI3K mRNA was calculated by measuring residual PI3K mRNA expression over different co-culture time. The reversibility of Mettl3 inhibition on Ang Ⅱ-induced pericyte-to-myofibroblast transdifferentiation was assessed by adding the AKT activator SC79 to the Ang Ⅱ+sh-Mettl3 group. In animal experiments, mice were divided into these groups: sham group (administered 0.9% sterile saline), Ang Ⅱ group (infused with Ang Ⅱ solution), sh-Mettl3 group (injected with Mettl3 shRNA lentivirus solution), Ang Ⅱ+sh-Mettl3 group (infused with Ang Ⅱ solution and injected with Mettl3 shRNA lentivirus solution), and Ang Ⅱ+sh-Mettl3+SC79 group (administered Ang Ⅱ solution and Mettl3 shRNA lentivirus, with an additional injection of SC79). Each group consisted of six subject mice. Blood pressure was measured using the tail-cuff method before and after surgery, and serum creatinine, urea, and urinary albumin levels were determined 4 weeks post-surgery. Kidney tissues were collected at 28 days and stained using hematoxylin-eosin (HE) and Masson's trichrome to assess the extent of renal fibrosis. Results: Primary renal pericytes were successfully obtained by magnetic bead sorting, and intervened with 1×106 mmol/L Ang Ⅱ for 48 hours to induce pericyte-to-myofibroblast transdifferentiation. Dot blot results indicated higher m6A modification levels in the Ang Ⅱ group compared to the control group (P<0.05). RT-qPCR and Western blot results showed upregulation of Mettl3 mRNA and protein levels in the Ang Ⅱ group compared to the control group (both P<0.05). In the Ang Ⅱ+sh-Mettl3 group, Mettl3 protein expression was lower than that in the Ang Ⅱ group, with reduced expression levels of α-SMA, vimentin, desmin, fibroblast agonist protein (FAPa) and type Ⅰ collagen (all P<0.05). Compared to the control group, PI3K mRNA expression level was elevated in the Ang Ⅱ group, along with increased p-AKT (S473) and p-AKT (T308) expressions. In the Ang Ⅱ+sh-Mettl3 group, PI3K mRNA expression and p-AKT (S473) and p-AKT (T308) levels were decreased (all P<0.05). The half-life of PI3K mRNA was shorter in the Ang Ⅱ+sh-Mettl3 group than that in the Ang Ⅱ+sh-NC group (2.34 h vs. 3.42 h). The ameliorative effect of Mettl3 inhibition on Ang Ⅱ-induced pericyte-to-myofibroblast transdifferentiation was reversible by SC79. Animal experiments showed higher blood pressure, serum creatinine, urea, and 24-hour urinary protein levels, and a larger fibrosis area in the Ang Ⅱ group compared to the sham group (all P<0.05). The fibrosis area was smaller in the Ang Ⅱ+sh-Mettl3 group than that in the Ang Ⅱ group (P<0.05), but increased again upon addition of SC79. Conclusion: Mettl3-mediated RNA m6A epigenetic regulation is involved in Ang Ⅱ-induced pericyte-to-myofibroblast transdifferentiation and renal fibrosis, potentially by affecting PI3K stability and regulating the PI3K/AKT signaling pathway. Collapse Key Words Collapse MESH Headings Animals Pericytes/metabolism Methyltransferases/metabolism Mice Cell Transdifferentiation Signal Transduction Proto-Oncogene Proteins c-akt/metabolism Mice, Inbred C57BL Phosphatidylinositol 3-Kinases/metabolism Angiotensin II/pharmacology Myofibroblasts/metabolism Kidney Cells, Cultured Collapse Grants 82160057, 82200316 National Natural Science Foundation of China Guizhou Education Technology[2023]074 Innovation Team of Guizhou Provincial Higher Education Institutions ZK[2021]353, ZK[2022]628, ZK[2023]567 Guizhou Provincial Basic Research Program Zunyi Medical University "12345" Talent Project Collapse
72	Gao K, Wei XZ, Zhao B, Liu ZG, Du CL, Wang X, Wang Y, Liu CY, Tang DZ, Zhang Q, Wu RQ, Ou MM, Li W, Cheng Q, Xie YL, Ma P, Li J, Wang H, Wang ZM, Chen S, Zhang W, Zhou J. [Effect of preoperative oral ibuprofen on postoperative pain after dental implantation: a randomized controlled trial]. ZHONGHUA KOU QIANG YI XUE ZA ZHI = ZHONGHUA KOUQIANG YIXUE ZAZHI = CHINESE JOURNAL OF STOMATOLOGY 2024;59:777-784. [PMID: 39036908 DOI: 10.3760/cma.j.cn112144-20240430-00174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/23/2024] Abstract Objective: To evaluate the effect of preemptive analgesia with ibuprofen on postoperative pain following single posterior tooth implantation, aiming to provide a clinical reference for its application. Methods: A multicenter, randomized, double-blind, placebo-controlled parallel-group trial was conducted. A total of 82 participants were included in the trial, meeting the eligibility criteria from April 2022 to April 2024 at the Capital Medical University School of Stomatology (40 cases), Beijing TianTan Hospital, Capital Medical University (22 cases), Beijing Chao-Yang Hospital, Capital Medical University (20 cases). Participants were randomly assigned in a 1∶1 ratio to either the ibuprofen group or the control group, with each group comprising 41 individuals. Participants in the ibuprofen group received 300 mg of sustained-release ibuprofen capsules orally 15 min before surgery, while the control group received a placebo. Both groups received the same postoperative analgesic regimen for 3 days. Pain scores were assessed using the Numerical rating scale (NRS) at 30 min, 4 h, 6 h, 8 h, 24 h, 48 h, and 72 h postoperatively, and the additional use of analgesic medication was recorded from days 4 to 6 postoperatively. Results: A total of 82 participants were initially enrolled in the study, with 7 dropouts (4 from the control group and 3 from the ibuprofen group), resulting in 75 participants (37 in the control group and 38 in the ibuprofen group) completing the trial. There were no reports of adverse events such as nausea or vomiting among the participants. The ibuprofen group exhibited significantly lower pain scores at 4 h, 6 h and 8 h [1.0 (0.0, 2.0), 1.0 (0.0, 2.0), 1.5 (0.0, 3.0) ] postoperatively compared to the control group 4 h, 6 h and 8 h [2.0 (1.0, 3.0), 3.0 (1.5, 4.0), 2.0 (1.0, 4.0)] (Z=-1.99, P=0.047; Z=-3.01, P=0.003; Z=2.10, P=0.036). The proportions of patients requiring additional analgesic medication between days 4 and 6 post-surgery were 18.4% (7/38) in the ibuprofen group and 27.0% (10/37) in the control group, with no significant difference (χ2=0.79, P=0.373). The median additional medication usage postoperatively was [0.0 (0.0, 0.0) pills] in the ibuprofen group and [0.0 (0.0, 1.0) pills] in the control group, with no significant difference (Z=-0.78, P=0.439). Conclusions: Preemptive analgesia with ibuprofen effectively reduces postoperative pain following tooth implantation, representing a safe and effective perioperative pain management strategy. Collapse Key Words Collapse MESH Headings Collapse Grants PX2021056 Beijing Municipal Administration of Hospitals Incubating Program 2023-JKCS-19 the Non-Profit Central Research Institute Fund of Chinese Academy of Medical Sciences Collapse
73	Wang Y, Li J, Wang XY, Shi M. [Case report and treatment analysis of chlorfenapyr poisoning]. ZHONGHUA LAO DONG WEI SHENG ZHI YE BING ZA ZHI = ZHONGHUA LAODONG WEISHENG ZHIYEBING ZAZHI = CHINESE JOURNAL OF INDUSTRIAL HYGIENE AND OCCUPATIONAL DISEASES 2024;42:540-542. [PMID: 39075011 DOI: 10.3760/cma.j.cn121094-20230321-00087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 07/31/2024] Abstract Chlorfenapyr is a kind of insecticide widely used in agriculture. Acute chlorfenapyr poisoning has a high mortality rate and there is no effective treatment at present. Poisoning caused by oral chlorfenapyr can lead to multiple organs damage such as heart, brain, muscle and retina. Clinical treatment should remove toxicants from the body early to improve the prognosis. In this paper, the death data of 3 patients with chlorfenapyr poisoning were reported and literature search was conducted to discuss the mechanism and treatment of chlorfenapyr poisoning. Collapse Key Words Case reports Chlorfenapyr Poisoning Treatment Collapse MESH Headings Humans Male Pyrethrins/poisoning Adult Insecticides/poisoning Middle Aged Female Collapse Grants Collapse
74	Aad G, Abbott B, Abeling K, Abicht NJ, Abidi SH, Aboulhorma A, Abramowicz H, Abreu H, Abulaiti Y, Acharya BS, Adam Bourdarios C, Adamczyk L, Addepalli SV, Addison MJ, Adelman J, Adiguzel A, Adye T, Affolder AA, Afik Y, Agaras MN, Agarwala J, Aggarwal A, Agheorghiesei C, Ahmad A, Ahmadov F, Ahmed WS, Ahuja S, Ai X, Aielli G, Aikot A, Ait Tamlihat M, Aitbenchikh B, Aizenberg I, Akbiyik M, Åkesson TPA, Akimov AV, Akiyama D, Akolkar NN, Aktas S, Al Khoury K, Alberghi GL, Albert J, Albicocco P, Albouy GL, Alderweireldt S, Alegria ZL, Aleksa M, Aleksandrov IN, Alexa C, Alexopoulos T, Alfonsi F, Algren M, Alhroob M, Ali B, Ali HMJ, Ali S, Alibocus SW, Aliev M, Alimonti G, Alkakhi W, Allaire C, Allbrooke BMM, Allen JF, Allendes Flores CA, Allport PP, Aloisio A, Alonso F, Alpigiani C, Alvarez Estevez M, Alvarez Fernandez A, Alves Cardoso M, Alviggi MG, Aly M, Amaral Coutinho Y, Ambler A, Amelung C, Amerl M, Ames CG, Amidei D, Amor Dos Santos SP, Amos KR, Ananiev V, Anastopoulos C, Andeen T, Anders JK, Andrean SY, Andreazza A, Angelidakis S, Angerami A, Anisenkov AV, Annovi A, Antel C, Anthony MT, Antipov E, Antonelli M, Anulli F, Aoki M, Aoki T, Aparisi Pozo JA, Aparo MA, Aperio Bella L, Appelt C, Apyan A, Aranzabal N, Arbiol Val SJ, Arcangeletti C, Arce ATH, Arena E, Arguin JF, Argyropoulos S, Arling JH, Arnaez O, Arnold H, Artoni G, Asada H, Asai K, Asai S, Asbah NA, Assamagan K, Astalos R, Atashi S, Atkin RJ, Atkinson M, Atmani H, Atmasiddha PA, Augsten K, Auricchio S, Auriol AD, Austrup VA, Avolio G, Axiotis K, Azuelos G, Babal D, Bachacou H, Bachas K, Bachiu A, Backman F, Badea A, Baer TM, Bagnaia P, Bahmani M, Bahner D, Bailey AJ, Bailey VR, Baines JT, Baines L, Baker OK, Bakos E, Bakshi Gupta D, Balakrishnan V, Balasubramanian R, Baldin EM, Balek P, Ballabene E, Balli F, Baltes LM, Balunas WK, Balz J, Banas E, Bandieramonte M, Bandyopadhyay A, Bansal S, Barak L, Barakat M, Barberio EL, Barberis D, Barbero M, Barel MZ, Barends KN, Barillari T, Barisits MS, Barklow T, Baron P, Baron Moreno DA, Baroncelli A, Barone G, Barr AJ, Barr JD, Barranco Navarro L, Barreiro F, Barreiro Guimarães da Costa J, Barron U, Barros Teixeira MG, Barsov S, Bartels F, Bartoldus R, Barton AE, Bartos P, Basan A, Baselga M, Bassalat A, Basso MJ, Basson CR, Bates RL, Batlamous S, Batley JR, Batool B, Battaglia M, Battulga D, Bauce M, Bauer M, Bauer P, Bazzano Hurrell LT, Beacham JB, Beau T, Beaucamp JY, Beauchemin PH, Becherer F, Bechtle P, Beck HP, Becker K, Beddall AJ, Bednyakov VA, Bee CP, Beemster LJ, Beermann TA, Begalli M, Begel M, Behera A, Behr JK, Beirer JF, Beisiegel F, Belfkir M, Bella G, Bellagamba L, Bellerive A, Bellos P, Beloborodov K, Benchekroun D, Bendebba F, Benhammou Y, Benoit M, Bensinger JR, Bentvelsen S, Beresford L, Beretta M, Bergeaas Kuutmann E, Berger N, Bergmann B, Beringer J, Bernardi G, Bernius C, Bernlochner FU, Bernon F, Berrocal Guardia A, Berry T, Berta P, Berthold A, Bertram IA, Bethke S, Betti A, Bevan AJ, Bhalla NK, Bhamjee M, Bhatta S, Bhattacharya DS, Bhattarai P, Bhopatkar VS, Bi R, Bianchi RM, Bianco G, Biebel O, Bielski R, Biglietti M, Bindi M, Bingul A, Bini C, Biondini A, Birch-Sykes CJ, Bird GA, Birman M, Biros M, Biryukov S, Bisanz T, Bisceglie E, Biswal JP, Biswas D, Bitadze A, Bjørke K, Bloch I, Blue A, Blumenschein U, Blumenthal J, Bobbink GJ, Bobrovnikov VS, Boehler M, Boehm B, Bogavac D, Bogdanchikov AG, Bohm C, Boisvert V, Bokan P, Bold T, Bomben M, Bona M, Boonekamp M, Booth CD, Borbély AG, Bordulev IS, Borecka-Bielska HM, Borissov G, Bortoletto D, Boscherini D, Bosman M, Bossio Sola JD, Bouaouda K, Bouchhar N, Boudreau J, Bouhova-Thacker EV, Boumediene D, Bouquet R, Boveia A, Boyd J, Boye D, Boyko IR, Bracinik J, Brahimi N, Brandt G, Brandt O, Braren F, Brau B, Brau JE, Brener R, Brenner L, Brenner R, Bressler S, Britton D, Britzger D, Brock I, Brooijmans G, Brooks WK, Brost E, Brown LM, Bruce LE, Bruckler TL, Bruckman de Renstrom PA, Brüers B, Bruni A, Bruni G, Bruschi M, Bruscino N, Buanes T, Buat Q, Buchin D, Buckley AG, Bulekov O, Bullard BA, Burdin S, Burgard CD, Burger AM, Burghgrave B, Burlayenko O, Burr JTP, Burton CD, Burzynski JC, Busch EL, Büscher V, Bussey PJ, Butler JM, Buttar CM, Butterworth JM, Buttinger W, Buxo Vazquez CJ, Buzykaev AR, Cabrera Urbán S, Cadamuro L, Caforio D, Cai H, Cai Y, Cai Y, Cairo VMM, Cakir O, Calace N, Calafiura P, Calderini G, Calfayan P, Callea G, Caloba LP, Calvet D, Calvet S, Calvet TP, Calvetti M, Camacho Toro R, Camarda S, Camarero Munoz D, Camarri P, Camerlingo MT, Cameron D, Camincher C, Campanelli M, Camplani A, Canale V, Canesse A, Cantero J, Cao Y, Capocasa F, Capua M, Carbone A, Cardarelli R, Cardenas JCJ, Cardillo F, Carducci G, Carli T, Carlino G, Carlotto JI, Carlson BT, Carlson EM, Carminati L, Carnelli A, Carnesale M, Caron S, Carquin E, Carrá S, Carratta G, Carrio Argos F, Carter JWS, Carter TM, Casado MP, Caspar M, Castillo FL, Castillo Garcia L, Castillo Gimenez V, Castro NF, Catinaccio A, Catmore JR, Cavaliere V, 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Statistical Combination of ATLAS Run 2 Searches for Charginos and Neutralinos at the LHC. PHYSICAL REVIEW LETTERS 2024;133:031802. [PMID: 39094132 DOI: 10.1103/physrevlett.133.031802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 06/07/2024] [Indexed: 08/04/2024] Abstract Statistical combinations of searches for charginos and neutralinos using various decay channels are performed using 139 fb^{-1} of pp collision data at sqrt[s]=13 TeV with the ATLAS detector at the Large Hadron Collider. Searches targeting pure-wino chargino pair production, pure-wino chargino-neutralino production, or Higgsino production decaying via standard model W, Z, or h bosons are combined to extend the mass reach to the produced supersymmetric particles by 30-100 GeV. The depth of the sensitivity of the original searches is also improved by the combinations, lowering the 95% C.L. cross-section upper limits by 15%-40%. Collapse Key Words Collapse MESH Headings Collapse Grants Collapse
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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. Collapse Key Words Collapse MESH Headings Collapse 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 Collapse