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Trivedi P, Vansjalia R, Erra S, Narayanan S, Nagaraju D. A Fuzzy CRITIC and Fuzzy WASPAS-Based Integrated Approach for Wire Arc Additive Manufacturing (WAAM) Technique Selection. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2022. [DOI: 10.1007/s13369-022-07127-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
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Narayanan S, Vuckovic S, Wirka R, Lengquist M, Quertermous T, Hedin U, Matic L. Integration of CAD-associated GWAS loci and deconvolution from human carotid plaques to study smooth muscle cell function in atherosclerosis. Atherosclerosis 2022. [DOI: 10.1016/j.atherosclerosis.2022.06.258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Chu M, Li J, Zhang Q, Jiang Z, Dufresne EM, Sandy A, Narayanan S, Schwarz N. pyXPCSviewer: an open-source interactive tool for X-ray photon correlation spectroscopy visualization and analysis. JOURNAL OF SYNCHROTRON RADIATION 2022; 29:1122-1129. [PMID: 35787580 PMCID: PMC9255579 DOI: 10.1107/s1600577522004830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 05/05/2022] [Indexed: 06/15/2023]
Abstract
pyXPCSviewer, a Python-based graphical user interface that is deployed at beamline 8-ID-I of the Advanced Photon Source for interactive visualization of XPCS results, is introduced. pyXPCSviewer parses rich X-ray photon correlation spectroscopy (XPCS) results into independent PyQt widgets that are both interactive and easy to maintain. pyXPCSviewer is open-source and is open to customization by the XPCS community for ingestion of diversified data structures and inclusion of novel XPCS techniques, both of which are growing demands particularly with the dawn of near-diffraction-limited synchrotron sources and their dedicated XPCS beamlines.
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Donckt M, Viret S, Toriashvili T, Tsamalaidze Z, Feld L, Klein K, Lipinski M, Meuser D, Pauls A, Preuten M, Rauch MP, Schulz J, Teroerde M, Eliseev D, Erdmann M, Fackeldey P, Fischer B, Ghosh S, Hebbeker T, Hoepfner K, Keller H, Mastrolorenzo L, Merschmeyer M, Meyer A, Mocellin G, Mondal S, Mukherjee S, Noll D, Novak A, Pook T, Pozdnyakov A, Rath Y, Reithler H, Roemer J, Schmidt A, Schuler SC, Sharma A, Wiedenbeck S, Zaleski S, Dziwok C, Flügge G, Haj Ahmad W, Hlushchenko O, Kress T, Nowack A, Pistone C, Pooth O, Roy D, Sert H, Stahl A, Ziemons T, Aarup Petersen H, Aldaya Martin M, Asmuss P, Babounikau I, Baxter S, Behnke O, Bermúdez Martínez A, Bin Anuar AA, Borras K, Botta V, Brunner D, Campbell A, Cardini A, Connor P, Consuegra Rodríguez S, Danilov V, De Wit A, Defranchis MM, Didukh L, Domínguez Damiani D, Eckerlin G, Eckstein D, Eichhorn T, Estevez Banos LI, Gallo E, Geiser A, Giraldi A, Grohsjean A, Guthoff M, Harb A, Jafari A, Jomhari NZ, Jung H, Kasem A, Kasemann M, Kaveh H, 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D, Raics P, Trocsanyi ZL, Ujvari B, Choudhury S, Komaragiri JR, Kumar D, Panwar L, Tiwari PC, Bahinipati S, Dash D, Kar C, Mal P, Mishra T, Muraleedharan Nair Bindhu VK, Nayak A, Sahoo DK, Sur N, Swain SK, Bansal S, Beri SB, Bhatnagar V, Chaudhary G, Chauhan S, Dhingra N, Gupta R, Kaur A, Kaur S, Kumari P, Meena M, Sandeep K, Sharma S, Singh JB, Virdi AK, Ahmed A, Bhardwaj A, Choudhary BC, Garg RB, Gola M, Keshri S, Kumar A, Naimuddin M, Priyanka P, Ranjan K, Shah A, Bharti M, Bhattacharya R, Bhattacharya S, Bhowmik D, Dutta S, Ghosh S, Gomber B, Maity M, Nandan S, Palit P, Rout PK, Saha G, Sahu B, Sarkar S, Sharan M, Singh B, Thakur S, Behera PK, Behera SC, Kalbhor P, Muhammad A, Pradhan R, Pujahari PR, Sharma A, Sikdar AK, Dutta D, Kumar V, Naskar K, Netrakanti PK, Pant LM, Shukla P, Aziz T, Bhat MA, Dugad S, Kumar Verma R, Mohanty GB, Sarkar U, Banerjee S, Bhattacharya S, Chatterjee S, Chudasama R, Guchait M, Karmakar S, Kumar S, Majumder G, Mazumdar K, Mukherjee S, Roy D, Dube S, Kansal B, Pandey S, Rane A, Rastogi A, Sharma S, Bakhshiansohi H, Zeinali M, Chenarani S, Etesami SM, Khakzad M, Mohammadi Najafabadi M, Felcini M, Grunewald M, Abbrescia M, Aly R, Aruta C, Colaleo A, Creanza D, De Filippis N, De Palma M, Di Florio A, Di Pilato A, Elmetenawee W, Fiore L, Gelmi A, Gul M, Iaselli G, Ince M, Lezki S, Maggi G, Maggi M, Margjeka I, Mastrapasqua V, Merlin JA, My S, Nuzzo S, Pompili A, Pugliese G, Ranieri A, Selvaggi G, Silvestris L, Simone FM, Venditti R, Verwilligen P, Abbiendi G, Battilana C, Bonacorsi D, Borgonovi L, Braibant-Giacomelli S, Campanini R, Capiluppi P, Castro A, Cavallo FR, Ciocca C, Cuffiani M, Dallavalle GM, Diotalevi T, Fabbri F, Fanfani A, Fontanesi E, Giacomelli P, Giommi L, Grandi C, Guiducci L, Iemmi F, Lo Meo S, Marcellini S, Masetti G, Navarria FL, Perrotta A, Primavera F, Rossi AM, Rovelli T, Siroli GP, Tosi N, Albergo S, Costa S, Di Mattia A, Potenza R, Tricomi A, Tuve C, Barbagli G, Cassese A, Ceccarelli R, Ciulli V, Civinini C, D'Alessandro R, Fiori F, Focardi E, Latino G, Lenzi P, Lizzo M, Meschini M, Paoletti S, Seidita R, Sguazzoni G, Viliani L, Benussi L, Bianco S, Piccolo D, Ferro F, Mulargia R, Robutti E, Tosi S, Benaglia A, Beschi A, Brivio F, Cetorelli F, Ciriolo V, De Guio F, Dinardo ME, Dini P, Gennai S, Ghezzi A, Govoni P, Guzzi L, Malberti M, Malvezzi S, Massironi A, Menasce D, Monti F, Moroni L, Paganoni M, Pedrini D, Ragazzi S, Tabarelli de Fatis T, Valsecchi D, Zuolo D, Buontempo S, Cavallo N, De Iorio A, Fabozzi F, Fienga F, Iorio AOM, Lista L, Meola S, Paolucci P, Rossi B, Sciacca C, Voevodina E, Azzi P, Bacchetta N, Bisello D, Bortignon P, Bragagnolo A, Carlin R, Checchia P, De Castro Manzano P, Dorigo T, Gasparini F, Gasparini U, Hoh SY, Layer L, Margoni M, Meneguzzo AT, Presilla M, Ronchese P, Rossin R, Simonetto F, Strong G, Tosi M, Yarar H, Zanetti M, Zotto P, Zucchetta A, Zumerle G, Aime C, Braghieri A, Calzaferri S, Fiorina D, Montagna P, Ratti SP, Re V, Ressegotti M, Riccardi C, Salvini P, Vai I, Vitulo P, Biasini M, Bilei GM, Ciangottini D, Fanò L, Lariccia P, Mantovani G, Mariani V, Menichelli M, Moscatelli F, Piccinelli A, Rossi A, Santocchia A, Spiga D, Tedeschi T, Androsov K, Azzurri P, Bagliesi G, Bertacchi V, Bianchini L, Boccali T, Castaldi R, Ciocci MA, Dell'Orso R, Di Domenico MR, Donato S, Giannini L, Giassi A, Grippo MT, Ligabue F, Manca E, Mandorli G, Messineo A, Palla F, Ramirez-Sanchez G, Rizzi A, Rolandi G, Roy Chowdhury S, Shafiei N, Spagnolo P, Tenchini R, Tonelli G, Venturi A, Verdini PG, Cavallari F, Cipriani M, Del Re D, Di Marco E, Diemoz M, Longo E, Meridiani P, Organtini G, Pandolfi F, Paramatti R, Quaranta C, Rahatlou S, Rovelli C, Santanastasio F, Soffi L, Tramontano R, Amapane N, Arcidiacono R, Argiro S, Arneodo M, Bartosik N, Bellan R, Bellora A, Berenguer Antequera J, Biino C, Cappati A, Cartiglia N, Cometti S, Costa M, Covarelli R, Demaria N, Kiani B, Legger F, Mariotti C, Maselli S, Migliore E, Monaco V, Monteil E, Monteno M, 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MK, Kailasapathy B, Sonnadara DUJ, Wickramarathna DDC, Dharmaratna WGD, Liyanage K, Perera N, Wickramage N, Aarrestad TK, Abbaneo D, Akgun B, Auffray E, Auzinger G, Baillon P, Ball AH, Barney D, Bendavid J, Beni N, Bianco M, Bocci A, Brondolin E, Camporesi T, Capeans Garrido M, Cerminara G, Cristella L, d'Enterria D, Dabrowski A, Daci N, Daponte V, David A, De Roeck A, Di Maria R, Dobson M, Dünser M, Dupont N, Elliott-Peisert A, Emriskova N, Fallavollita F, Fasanella D, Fiorendi S, Florent A, Franzoni G, Fulcher J, Funk W, Gigi D, Gill K, Glege F, Gouskos L, Guilbaud M, Gulhan D, Haranko M, Hegeman J, Iiyama Y, Innocente V, James T, Janot P, Kieseler J, Komm M, Kratochwil N, Lange C, Laurila S, Lecoq P, Long K, Lourenço C, Malgeri L, Mallios S, Mannelli M, Meijers F, Mersi S, Meschi E, Moortgat F, Mulders M, Niedziela J, Orfanelli S, Orsini L, Pantaleo F, Pape L, Perez E, Peruzzi M, Petrilli A, Petrucciani G, Pfeiffer A, Pierini M, Quast T, Rabady D, Racz A, Rieger M, Rovere M, Sakulin H, Salfeld-Nebgen J, Scarfi S, Schäfer C, Schwick C, Selvaggi M, Sharma A, Silva P, Sphicas P, Summers S, Tavolaro VR, Treille D, Tsirou A, Van Onsem GP, Vartak A, Verzetti M, Wozniak KA, Zeuner WD, Caminada L, Erdmann W, Horisberger R, Ingram Q, Kaestli HC, Kotlinski D, Langenegger U, Rohe T, Backhaus M, Berger P, Calandri A, Chernyavskaya N, De Cosa A, Dissertori G, Dittmar M, Donegà M, Dorfer C, Gadek T, Gómez Espinosa TA, Grab C, Hits D, Lustermann W, Lyon AM, Manzoni RA, Meinhard MT, Micheli F, Nessi-Tedaldi F, Pauss F, Perovic V, Perrin G, Pigazzini S, Ratti MG, Reichmann M, Reissel C, Reitenspiess T, Ristic B, Ruini D, Sanz Becerra DA, Schönenberger M, Stampf V, Steggemann J, Vesterbacka Olsson ML, Wallny R, Zhu DH, Amsler C, Botta C, Brzhechko D, Canelli MF, Del Burgo R, Heikkilä JK, Huwiler M, Jofrehei A, Kilminster B, Leontsinis S, Macchiolo A, Meiring P, Mikuni VM, Molinatti U, Neutelings I, Rauco G, Reimers A, Robmann P, Schweiger K, Takahashi Y, Adloff C, Kuo CM, Lin W, Roy A, Sarkar T, Yu SS, Ceard L, Chang P, Chao Y, Chen KF, Chen PH, Hou WS, Li YY, Lu RS, Paganis E, Psallidas A, Steen A, Yazgan E, Asavapibhop B, Asawatangtrakuldee C, Srimanobhas N, Bakirci MN, Boran F, Damarseckin S, Demiroglu ZS, Dolek F, Dozen C, Dumanoglu I, Eskut E, Guler Y, Gurpinar Guler E, Hos I, Isik C, Kangal EE, Kara O, Kayis Topaksu A, Kiminsu U, Onengut G, Polatoz A, Simsek AE, Tali B, Tok UG, Topakli H, Turkcapar S, Zorbakir IS, Zorbilmez C, Isildak B, Karapinar G, Ocalan K, Yalvac M, Atakisi IO, Gülmez E, Kaya M, Kaya O, Özçelik Ö, Tekten S, Yetkin EA, Cakir A, Cankocak K, Komurcu Y, Sen S, Aydogmus Sen F, Cerci S, Ozkorucuklu S, Sunar Cerci D, Grynyov B, Levchuk L, Bhal E, Bologna S, Brooke JJ, Clement E, Cussans D, Flacher H, Goldstein J, Heath GP, Heath HF, Kreczko L, Krikler B, Paramesvaran S, Sakuma T, Seif El Nasr-Storey S, Smith VJ, Stylianou N, Taylor J, Titterton A, Bell KW, Belyaev A, Brew C, Brown RM, Cockerill DJA, Ellis KV, Harder K, Harper S, Linacre J, Manolopoulos K, Newbold DM, Olaiya E, Petyt D, Reis T, Schuh T, Shepherd-Themistocleous CH, Thea A, Tomalin IR, Williams T, Bainbridge R, Bloch P, Bonomally S, Borg J, Breeze S, Buchmuller O, Bundock A, Cepaitis V, Chahal GS, Colling D, Dauncey P, Davies G, Della Negra M, Fedi G, Hall G, Iles G, Langford J, Lyons L, Magnan AM, Malik S, Martelli A, Milosevic V, Nash J, Palladino V, Pesaresi M, Raymond DM, Richards A, Rose A, Scott E, Seez C, Shtipliyski A, Stoye M, Tapper A, Uchida K, Virdee T, Wardle N, Webb SN, Winterbottom D, Zecchinelli AG, Cole JE, Hobson PR, Khan A, Kyberd P, Mackay CK, Reid ID, Teodorescu L, Zahid S, Abdullin S, Brinkerhoff A, Call K, Caraway B, Dittmann J, Hatakeyama K, Kanuganti AR, Madrid C, McMaster B, Pastika N, Sawant S, Smith C, Wilson J, Bartek R, Dominguez A, Uniyal R, Vargas Hernandez AM, Buccilli A, Charaf O, Cooper SI, Gleyzer SV, Henderson C, Perez CU, Rumerio P, West C, Akpinar A, Albert A, Arcaro D, Cosby C, Demiragli Z, Gastler D, Rohlf J, Salyer K, Sperka D, Spitzbart D, Suarez I, Yuan S, Zou D, Benelli G, Burkle B, Coubez X, Cutts D, Duh YT, Hadley M, Heintz U, Hogan JM, Kwok KHM, Laird E, Landsberg G, Lau KT, Lee J, Narain M, Sagir S, Syarif R, Usai E, Wong WY, Yu D, Zhang W, Band R, Brainerd C, Breedon R, Calderon De La Barca Sanchez M, Chertok M, Conway J, Conway R, Cox PT, Erbacher R, Flores C, Funk G, Jensen F, Ko W, Kukral O, Lander R, Mulhearn M, Pellett D, Pilot J, Shi M, Taylor D, Tos K, Tripathi M, Yao Y, Zhang F, Bachtis M, Cousins R, Dasgupta A, Hamilton D, Hauser J, Ignatenko M, Iqbal MA, Lam T, Mccoll N, Nash WA, Regnard S, Saltzberg D, Schnaible C, Stone B, Valuev V, Burt K, Chen Y, Clare R, Gary JW, Hanson G, Karapostoli G, Long OR, Manganelli N, Olmedo Negrete M, Paneva MI, Si W, Wimpenny S, Zhang Y, Branson JG, Chang P, Cittolin S, Cooperstein S, Deelen N, Duarte J, Gerosa R, Gilbert D, Krutelyov V, Letts J, Masciovecchio M, May S, Padhi S, Pieri M, Sharma V, Tadel M, Würthwein F, Yagil A, Amin N, Campagnari C, Citron M, Dorsett A, Dutta V, Incandela J, Marsh B, Mei H, Ovcharova A, Qu H, Quinnan M, Richman J, Sarica U, Stuart D, Wang S, Bornheim A, Cerri O, Dutta I, Lawhorn JM, Lu N, Mao J, Newman HB, Ngadiuba J, Nguyen TQ, Pata J, Spiropulu M, Vlimant JR, Wang C, Xie S, Zhang Z, Zhu RY, Alison J, Andrews MB, Ferguson T, Mudholkar T, Paulini M, Sun M, Vorobiev I, Cumalat JP, Ford WT, MacDonald E, Mulholland T, Patel R, Perloff A, Stenson K, Ulmer KA, Wagner SR, Alexander J, Cheng Y, Chu J, Cranshaw DJ, Datta A, Frankenthal A, Mcdermott K, Monroy J, Patterson JR, Quach D, Ryd A, Sun W, Tan SM, Tao Z, Thom J, Wittich P, Zientek M, Albrow M, Alyari M, Apollinari G, Apresyan A, Apyan A, Banerjee S, Bauerdick LAT, Beretvas A, Berry D, Berryhill J, Bhat PC, Burkett K, Butler JN, Canepa A, Cerati GB, Cheung HWK, Chlebana F, Cremonesi M, Elvira VD, Freeman J, Gecse Z, Gottschalk E, Gray L, Green D, Grünendahl S, Gutsche O, Harris RM, Hasegawa S, Heller R, Herwig TC, Hirschauer J, Jayatilaka B, Jindariani S, Johnson M, Joshi U, Klabbers P, Klijnsma T, Klima B, Kortelainen MJ, Lammel S, Lincoln D, Lipton R, Liu M, Liu T, Lykken J, Maeshima K, Mason D, McBride P, Merkel P, Mrenna S, Nahn S, O'Dell V, Papadimitriou V, Pedro K, Pena C, Prokofyev O, Ravera F, Reinsvold Hall A, Ristori L, Schneider B, Sexton-Kennedy E, Smith N, Soha A, Spalding WJ, Spiegel L, Stoynev S, Strait J, Taylor L, Tkaczyk S, Tran NV, Uplegger L, Vaandering EW, Weber HA, Woodard A, Acosta D, Avery P, Bourilkov D, Cadamuro L, Cherepanov V, Errico F, Field RD, Guerrero D, Joshi BM, Kim M, Konigsberg J, Korytov A, Lo KH, Matchev K, Menendez N, Mitselmakher G, Rosenzweig D, Shi K, Sturdy J, Wang J, Wang S, Zuo X, Adams T, Askew A, Diaz D, Habibullah R, Hagopian S, Hagopian V, Johnson KF, Khurana R, Kolberg T, Martinez G, Prosper H, Schiber C, Yohay R, Zhang J, Baarmand MM, Butalla S, Elkafrawy T, Hohlmann M, Noonan D, Rahmani M, Saunders M, Yumiceva F, Adams MR, Apanasevich L, Becerril Gonzalez H, Cavanaugh R, Chen X, Dittmer S, Evdokimov O, Gerber CE, Hangal DA, Hofman DJ, Mills C, Oh G, Roy T, Tonjes MB, Varelas N, Viinikainen J, Wang X, Wu Z, Ye Z, Alhusseini M, Dilsiz K, Durgut S, Gandrajula RP, Haytmyradov M, Khristenko V, Köseyan OK, Merlo JP, Mestvirishvili A, Moeller A, Nachtman J, Ogul H, Onel Y, Ozok F, Penzo A, Snyder C, Tiras E, Wetzel J, Amram O, Blumenfeld B, Corcodilos L, Eminizer M, Gritsan AV, Kyriacou S, Maksimovic P, Mantilla C, Roskes J, Swartz M, Vámi TÁ, Baringer P, Bean A, Bylinkin A, Khalil S, King J, Krintiras G, Kropivnitskaya A, Murray M, Rogan C, Sanders S, Schmitz E, Tapia Takaki JD, Wang Q, Wilson G, Duric S, Ivanov A, Kaadze K, Kim D, Maravin Y, Mitchell T, Modak A, Mohammadi A, Rebassoo F, Wright D, Adams E, Baden A, Baron O, Belloni A, Eno SC, Feng Y, Hadley NJ, Jabeen S, Jeng GY, Kellogg RG, Koeth T, Mignerey AC, Nabili S, Seidel M, Skuja A, Tonwar SC, Wang L, Wong K, Abercrombie D, Allen B, Bi R, Brandt S, Busza W, Cali IA, Chen Y, D'Alfonso M, Gomez Ceballos G, Goncharov M, Harris P, Hsu D, Hu M, Klute M, Kovalskyi D, Krupa J, Lee YJ, Luckey PD, Maier B, Marini AC, Mcginn C, Mironov C, Narayanan S, Niu X, Paus C, Rankin D, Roland C, Roland G, Shi Z, Stephans GSF, Sumorok K, Tatar K, Velicanu D, Wang J, Wang TW, Wang Z, Wyslouch B, Chatterjee RM, Evans A, Hansen P, Hiltbrand J, Jain S, Krohn M, Kubota Y, Lesko Z, Mans J, Revering M, Rusack R, Saradhy R, Schroeder N, Strobbe N, Wadud MA, Acosta JG, Oliveros S, Bloom K, Chauhan S, Claes DR, Fangmeier C, Finco L, Golf F, González Fernández JR, Joo C, Kravchenko I, Siado JE, Snow GR, Tabb W, Yan F, Agarwal G, Bandyopadhyay H, Harrington C, Hay L, Iashvili I, Kharchilava A, McLean C, Nguyen D, Pekkanen J, Rappoccio S, Roozbahani B, Alverson G, Barberis E, Freer C, Haddad Y, Hortiangtham A, Li J, Madigan G, Marzocchi B, Morse DM, Nguyen V, Orimoto T, Parker A, Skinnari L, Tishelman-Charny A, Wamorkar T, Wang B, Wisecarver A, Wood D, Bhattacharya S, Bueghly J, Chen Z, Gilbert A, Gunter T, Hahn KA, Odell N, Schmitt MH, Sung K, Velasco M, Bucci R, Dev N, Goldouzian R, Hildreth M, Hurtado Anampa K, Jessop C, Karmgard DJ, Lannon K, Loukas N, Marinelli N, Mcalister I, Meng F, Mohrman K, Musienko Y, Ruchti R, Siddireddy P, Taroni S, Wayne M, Wightman A, Wolf M, Zygala L, Alimena J, Bylsma B, Cardwell B, Durkin LS, Francis B, Hill C, Lefeld A, Winer BL, Yates BR, Bonham B, Das P, Dezoort G, Elmer P, Greenberg B, Haubrich N, Higginbotham S, Kalogeropoulos A, Kopp G, Kwan S, Lange D, Lucchini MT, Luo J, Marlow D, Mei K, Ojalvo I, Olsen J, Palmer C, Piroué P, Stickland D, Tully C, Malik S, Norberg S, Barnes VE, Chawla R, Das S, Gutay L, Jones M, Jung AW, Negro G, Neumeister N, Peng CC, Piperov S, Purohit A, Qiu H, Schulte JF, Stojanovic M, Trevisani N, Wang F, Wildridge A, Xiao R, Xie W, Dolen J, Parashar N, Baty A, Dildick S, Ecklund KM, Freed S, Geurts FJM, Kilpatrick M, Kumar A, Li W, Padley BP, Redjimi R, Roberts J, Rorie J, Shi W, Stahl Leiton AG, Bodek A, de Barbaro P, Demina R, Dulemba JL, Fallon C, Ferbel T, Galanti M, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Ranken E, Taus R, Chiarito B, Chou JP, Gandrakota A, Gershtein Y, Halkiadakis E, Hart A, Heindl M, Hughes E, Kaplan S, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Osherson M, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Wang H, Acharya H, Delannoy AG, Spanier S, Bouhali O, Dalchenko M, Delgado A, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo S, Malhotra S, Mueller R, Overton D, Perniè L, Rathjens D, Safonov A, Akchurin N, Damgov J, Hegde V, Kunori S, Lamichhane K, Lee SW, Mengke T, Muthumuni S, Peltola T, Undleeb S, Volobouev I, Wang Z, Whitbeck A, Appelt E, Greene S, Gurrola A, Janjam R, Johns W, Maguire C, Melo A, Ni H, Padeken K, Romeo F, Sheldon P, Tuo S, Velkovska J, Arenton MW, Cox B, Cummings G, Hakala J, Hirosky R, Joyce M, Ledovskoy A, Li A, Neu C, Tannenwald B, Wang Y, Wolfe E, Xia F, Karchin PE, Poudyal N, Thapa P, Black K, Bose T, Buchanan J, Caillol C, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Hervé A, Hussain U, Lanaro A, Loeliger A, Loveless R, Madhusudanan Sreekala J, Mallampalli A, Pinna D, Savin A, Shang V, Sharma V, Smith WH, Teague D, Trembath-Reichert S, Vetens W, Antchev G, Aspell P, Atanassov I, Avati V, Baechler J, Baldenegro Barrera C, Berardi V, Berretti M, Borchsh V, Bossini E, Bottigli U, Bozzo M, Burkhardt H, Cafagna FS, Catanesi MG, Csanád M, Csörgő T, Deile M, De Leonardis F, Doubek M, Druzhkin D, Eggert K, Eremin V, Fiergolski A, Forthomme L, Garcia F, Georgiev V, Giani S, Grzanka L, Hammerbauer J, Isidori T, Ivanchenko V, Janda M, Karev A, Kašpar J, Kaynak B, Kopal J, Kundrát V, Lami S, Linhart R, Lindsey C, Lokajíček MV, Losurdo L, Lucas Rodríguez F, Macrí M, Malawski M, Minafra N, Minutoli S, Naaranoja T, Nemes F, Niewiadomski H, Novák T, Oliveri E, Oljemark F, Oriunno M, Österberg K, Palazzi P, Passaro V, Peroutka Z, Procházka J, Quinto M, Radermacher E, Radicioni E, Ravotti F, Royon C, Ruggiero G, Saarikko H, Samoylenko VD, Scribano A, Široký J, Smajek J, Snoeys W, Stefanovitch R, Sziklai J, Taylor C, Tcherniaev E, Turini N, Urban O, Vacek V, Vavroch O, Welti J, Williams J, Zich J, Zielinski K. First Search for Exclusive Diphoton Production at High Mass with Tagged Protons in Proton-Proton Collisions at sqrt[s]=13 TeV. PHYSICAL REVIEW LETTERS 2022; 129:011801. [PMID: 35841572 DOI: 10.1103/physrevlett.129.011801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 05/09/2022] [Accepted: 05/16/2022] [Indexed: 06/15/2023]
Abstract
A search for exclusive two-photon production via photon exchange in proton-proton collisions, pp→pγγp with intact protons, is presented. The data correspond to an integrated luminosity of 9.4 fb^{-1} collected in 2016 using the CMS and TOTEM detectors at a center-of-mass energy of 13 TeV at the LHC. Events are selected with a diphoton invariant mass above 350 GeV and with both protons intact in the final state, to reduce backgrounds from strong interactions. The events of interest are those where the invariant mass and rapidity calculated from the momentum losses of the forward-moving protons match the mass and rapidity of the central, two-photon system. No events are found that satisfy this condition. Interpreting this result in an effective dimension-8 extension of the standard model, the first limits are set on the two anomalous four-photon coupling parameters. If the other parameter is constrained to its standard model value, the limits at 95% confidence level are |ζ_{1}|<2.9×10^{-13} GeV^{-4} and |ζ_{2}|<6.0×10^{-13} GeV^{-4}.
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Kim PY, Fink Z, Zhang Q, Dufresne EM, Narayanan S, Russell TP. Relaxation and Aging of Nanosphere Assemblies at a Water-Oil Interface. ACS NANO 2022; 16:8967-8973. [PMID: 35666243 DOI: 10.1021/acsnano.2c00020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The relaxation and aging of an assembly of spherical nanoparticles (NPs) at a water-oil interface are characterized in situ by grazing incidence X-ray photon correlation spectroscopy. The dynamics of the interfacial assembly is measured while the interface saturates with NPs. Weak attractions between NPs lead to gel-like structures in the assembly, where the in-plane ordering is inhibited by the broad size distribution of the NPs. Structural rearrangements on the length scale of the NP-NP center-to-center distances proceed by intermittent fluctuations instead of continuous cooperative motions. The coexistence of rapid and slow NP populations is confirmed, as commonly observed in soft glass-forming materials. Dynamics are increasingly slowed as the NPs initially segregate to the locally clustered interface. The structural relaxation of the NPs in these localized clusters is 5 orders of magnitude slower than that of free particles in the bulk. When the interface is nearly saturated, the time for relaxation increases suddenly due to the onset of local jamming, and the dynamics slow exponentially afterward until the system reaches collective jamming by cooperative rearrangements. This investigation provides insights into structural relaxations near the glass transition and the evolution of the structure and dynamics of the assemblies as they transition from an isotropic liquid to a dense disordered film.
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Jhalaria M, Jimenez AM, Mathur R, Tekell MC, Huang Y, Narayanan S, Benicewicz BC, Kumar SK. Long-Term Aging in Miscible Polymer Nanocomposites. Macromolecules 2022. [DOI: 10.1021/acs.macromol.2c00332] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Tay SH, Stephenson M, Allameen NA, Narayanan S, Lee B, Mak A. POS0763 A MULTIMODAL MAGNETIC RESONANCE IMAGING STUDY OF COGNITIVE FUNCTION IN SYSTEMIC LUPUS ERYTHEMATOSUS: A MACHINE LEARNING APPROACH. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.3452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundSystemic lupus erythematosus (SLE) is a multisystem autoimmune disorder that can affect the central nervous system. Cognitive dysfuncion is the most common neuropsyhiatric event in SLE patients, yet it is also one of the hardest to diagnose.ObjectivesTo investigate if multimodal imaging to assess anatomical magnetic resonance imaging (MRI) abnormalities in the brains of SLE patients can predict cognitive function.MethodsSubjects underwent voxel-based morphometry (VBM), magnetization transfer imaging (MTI), and dynamic contrast-enhanced (DCE) MRI. Automated Neuropsychological Assessment Metrics (ANAM) was used to assess cognitive function in this cross-sectional study and the primary measure was the total throughput score (TTS). TTS is the total of the throughput scores for each of the 8 ANAM subtests: (i) code substitution learning (CSL); (ii) code substitution immediate (CSI); (iii) code substitution delayed (CSD); (iv) spatial processing (SP); (v) matching to sample (MSP); (vi) running memory continuous performance test (CPT); (vii) mathematical processing (MTH) and (viii) memory search (MS). Olfactory assessment was done using the University of Pennsylvania Smell Identification Test. We used a machine learning-based model (i.e. GLMnet) to predict TTS. Subjects with active SLE disease or above 40 years old were excluded.ResultsThirty SLE patients [26 female, 32.0 (26.8-37.0) years] without clinically overt neuropsychiatric manifestations and 10 healthy controls (HCs) [9 females, 27.0 (23.0-31.5) years] were enrolled in this study. Both groups had comparable cognitive and olfactory functions. No significant differences were observed in VBM, MTR, olfactory blub and tract (OBT) volume in SLE patients compared to HCs. We observed increased blood-brain barrier (BBB) permeability parameters (Ktrans and PS) in several regions of SLE patients. DCE-MRI perfusion parameters such as perfusion (F) and vp but not permeability measures were associated with TTS. In particular, F right amygdala correlated with TTS in SLE patients (r = 0.636, FDR p < 0.05) (Table 1). Using GLMnet, we trained a multimodal MRI model comprising of VBM, MTR, DCE-MRI and OBT volume parameters to predict TTS in SLE patients (r = 0.998, p < 0.0005) (Figure 1).Figure 1.Machine learning-based models to predict cognitive function.Table 1.Correlation between ANAM tests with perfusion (F) in SLE patients, ranked in descending order of statistical significance for TTS.VariableTTSCSLCSICSDSPMSPCPTMTHMSF right amygdala0.636‡*0.520‡0.3370.437†0.559‡0.3230.633‡0.412†0.598‡F left entorhinal0.504‡0.422†0.3660.416†0.3050.1850.530‡0.1860.416†F left amygdale0.495‡0.400†0.1890.378†0.3300.2370.491‡0.376†0.449†F choroid0.469†0.384†0.2160.413†0.458†0.2020.456†0.3400.406†plexusF right rostal anterior cingulate0.453†0.3010.1180.2960.393†0.2140.547‡0.420†0.383†F right entorhinal0.448†0.368†0.2320.3120.376†0.1560.438†0.2710.407†F cerebellum white matter0.427†0.3580.2010.370†0.2730.0780.449†0.2900.297F left hippocampus0.427†0.3550.1340.390†0.3560.2030.511‡0.3360.332F brain stem0.407†0.2980.1380.2750.2940.1530.478‡0.3080.369†F right insula0.407†0.3080.0740.3000.3240.1760.437†0.3230.347F left parietal0.400†0.2630.0920.2540.2940.2240.487‡0.2740.332F ventricles0.396†0.3030.0830.3210.370†0.1920.477‡0.2860.361F right temporal0.395†0.2800.1130.2810.2880.1670.477‡0.3220.331F right hippocampus0.395†0.3070.0770.3250.3560.1900.486‡0.3570.339F right parietal0.376†0.2490.0820.2740.2830.1390.460†0.2550.311F right parahippocampal gyrus0.375†0.3530.1190.3020.3410.2410.3530.2080.273† p < 0.05, ‡ p < 0.01, *FDR p < 0.05ConclusionThese findings suggest that the BBB may be affected early in the course of cognitive dysfunction, even preceding detectable changes in other MRI sequences and machine learning algorithms can be used to predict TTS measures, even in asymptomatic SLE patients.ReferencesNil.Disclosure of InterestsSen Hee Tay: None declared, Mary Stephenson: None declared, Nur Azizah Allameen: None declared, Sriram Narayanan: None declared, Bernett Lee: None declared, Anselm Mak Speakers bureau: JnJ Apr 2019 and GSK Jan 2022, Grant/research support from: GSK - The Supported Studies Programme
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Gowda M, Jafferbhoy S, Marla S, Narayanan S, Soumian S. 117P Oncological outcomes of chest wall perforator flap reconstruction in breast cancer. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.03.134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Cho NH, Zhang Q, Dufresne EM, Narayanan S, Richards JJ. Microscopic Dynamics of Inverse Wormlike Micelles Probed Using X-ray Photon Correlation Spectroscopy. ACS Macro Lett 2022; 11:575-579. [PMID: 35575339 DOI: 10.1021/acsmacrolett.1c00651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Wormlike micelles (WLMs) are ubiquitous viscoelastic modifiers that share properties with polymer solutions. While their macroscopic rheology is well-understood, their microscopic dynamics remain difficult to measure because they span a large range of time and length scales. In this work, we demonstrate the use of X-ray photon correlation spectroscopy to interrogate the segmental dynamics of inverse WLM solutions swollen with a rubidium chloride solution. We observe a diffusive scaling of the dynamics and extract a temperature-dependent diffusion coefficient, which we associate with the thermal interactions of the slow segmental dynamics near entanglement points. We probe this relaxation process across the unbranched to branched topological transition and find no microstructural evidence of branch formation in the slow mode. Instead, we observe that the dynamics become more homogeneous and prominent as the temperature is reduced and water content increases.
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Stoye M, Tapper A, Uchida K, Virdee T, Wardle N, Webb SN, Winterbottom D, Zecchinelli AG, Cole JE, Hobson PR, Khan A, Kyberd P, Mackay CK, Reid ID, Teodorescu L, Zahid S, Abdullin S, Brinkerhoff A, Call K, Caraway B, Dittmann J, Hatakeyama K, Kanuganti AR, Madrid C, McMaster B, Pastika N, Sawant S, Smith C, Wilson J, Bartek R, Dominguez A, Uniyal R, Hernandez AMV, Buccilli A, Charaf O, Cooper SI, Gleyzer SV, Henderson C, Rumerio P, West C, Akpinar A, Albert A, Arcaro D, Cosby C, Demiragli Z, Gastler D, Rohlf J, Salyer K, Sperka D, Spitzbart D, Suarez I, Yuan S, Zou D, Benelli G, Burkle B, Coubez X, Cutts D, Duh YT, Hadley M, Heintz U, Hogan JM, Kwok KHM, Laird E, Landsberg G, Lau KT, Lee J, Narain M, Sagir S, Syarif R, Usai E, Wong WY, Yu D, Zhang W, Band R, Brainerd C, Breedon R, De La BarcaSanchez MC, Chertok M, Conway J, Conway R, Cox PT, Erbacher R, Flores C, Funk G, Jensen F, Ko W, Kukral O, Lander R, Mulhearn M, Pellett D, Pilot J, Shi M, Taylor D, Tos K, Tripathi M, Yao Y, Zhang F, Bachtis M, Cousins R, Dasgupta A, Hamilton D, Hauser J, Ignatenko M, Lam T, Mccoll N, Nash WA, Regnard S, Saltzberg D, Schnaible C, Stone B, Valuev V, Burt K, Chen Y, Clare R, Gary JW, Hanson G, Karapostoli G, Long OR, Manganelli N, Negrete MO, Paneva MI, Si W, Wimpenny S, Zhang Y, Branson JG, Chang P, Cittolin S, Cooperstein S, Deelen N, Duarte J, Gerosa R, Gilbert D, Krutelyov V, Letts J, Masciovecchio M, May S, Padhi S, Pieri M, Sharma V, Tadel M, Würthwein F, Yagil A, Amin N, Campagnari C, Citron M, Dorsett A, Dutta V, Incandela J, Marsh B, Mei H, Ovcharova A, Qu H, Quinnan M, Richman J, Sarica U, Stuart D, Wang S, Bornheim A, Cerri O, Dutta I, Lawhorn JM, Lu N, Mao J, Newman H, Ngadiuba J, Nguyen TQ, Pata J, Spiropulu M, Vlimant JR, Wang C, Xie S, Zhang Z, Zhu RY, Alison J, Andrews MB, Ferguson T, Mudholkar T, Paulini M, Sun M, Vorobiev I, Cumalat JP, Ford WT, MacDonald E, Mulholland T, Patel R, Perloff A, Stenson K, Ulmer KA, Wagner SR, Alexander J, Cheng Y, Chu J, Cranshaw DJ, Datta A, Frankenthal A, Mcdermott K, Monroy J, Patterson JR, Quach D, Ryd A, Sun W, Tan SM, Tao Z, Thom J, Wittich P, Zientek M, Albrow M, Alyari M, Apollinari G, Apresyan A, Apyan A, Banerjee S, Bauerdick LAT, Beretvas A, Berry D, Berryhill J, Bhat PC, Burkett K, Butler JN, Canepa A, Cerati GB, Cheung HWK, Chlebana F, Cremonesi M, Elvira VD, Freeman J, Gecse Z, Gottschalk E, Gray L, Green D, Grünendahl S, Gutsche O, Harris RM, Hasegawa S, Heller R, Herwig TC, Hirschauer J, Jayatilaka B, Jindariani S, Johnson M, Joshi U, Klabbers P, Klijnsma T, Klima B, Kortelainen MJ, Lammel S, Lincoln D, Lipton R, Liu M, Liu T, Lykken J, Maeshima K, Mason D, McBride P, Merkel P, Mrenna S, Nahn S, O’Dell V, Papadimitriou V, Pedro K, Pena C, Prokofyev O, Ravera F, Hall AR, Ristori L, Schneider B, Sexton-Kennedy E, Smith N, Soha A, Spalding WJ, Spiegel L, Stoynev S, Strait J, Taylor L, Tkaczyk S, Tran NV, Uplegger L, Vaandering EW, Weber HA, Woodard A, Acosta D, Avery P, Bourilkov D, Cadamuro L, Cherepanov V, Errico F, Field RD, Guerrero D, Joshi BM, Kim M, Konigsberg J, Korytov A, Lo KH, Matchev K, Menendez N, Mitselmakher G, Rosenzweig D, Shi K, Sturdy J, Wang J, Wang S, Zuo X, Adams T, Askew A, Diaz D, Habibullah R, Hagopian S, Hagopian V, Johnson KF, Khurana R, Kolberg T, Martinez G, Prosper H, Schiber C, Yohay R, Zhang J, Baarmand MM, Butalla S, Elkafrawy T, Hohlmann M, Noonan D, Rahmani M, Saunders M, Yumiceva F, Adams MR, Apanasevich L, Gonzalez HB, Cavanaugh R, Chen X, Dittmer S, Evdokimov O, Gerber CE, Hangal DA, Hofman DJ, Mills C, Oh G, Roy T, Tonjes MB, Varelas N, Viinikainen J, Wang X, Wu Z, Ye Z, Alhusseini M, Dilsiz K, Durgut S, Gandrajula RP, Haytmyradov M, Khristenko V, Köseyan OK, Merlo JP, Mestvirishvili A, Moeller A, Nachtman J, Ogul H, Onel Y, Ozok F, Penzo A, Snyder C, Tiras E, Wetzel J, Amram O, Blumenfeld B, Corcodilos L, Eminizer M, Gritsan AV, Kyriacou S, Maksimovic P, Mantilla C, Roskes J, Swartz M, Vámi TÁ, Barrera CB, Baringer P, Bean A, Bylinkin A, Isidori T, Khalil S, King J, Krintiras G, Kropivnitskaya A, Lindsey C, Minafra N, Murray M, Rogan C, Royon C, Sanders S, Schmitz E, Takaki JDT, Wang Q, Williams J, Wilson G, Duric S, Ivanov A, Kaadze K, Kim D, Maravin Y, Mitchell T, Modak A, Mohammadi A, Rebassoo F, Wright D, Adams E, Baden A, Baron O, Belloni A, Eno SC, Feng Y, Hadley NJ, Jabeen S, Jeng GY, Kellogg RG, Koeth T, Mignerey AC, Nabili S, Seidel M, Skuja A, Tonwar SC, Wang L, Wong K, Abercrombie D, Allen B, Bi R, Brandt S, Busza W, Cali IA, Chen Y, D’Alfonso M, Ceballos GG, Goncharov M, Harris P, Hsu D, Hu M, Klute M, Kovalskyi D, Krupa J, Lee YJ, Luckey PD, Maier B, Marini AC, Mcginn C, Mironov C, Narayanan S, Niu X, Paus C, Rankin D, Roland C, Roland G, Shi Z, Stephans GSF, Sumorok K, Tatar K, Velicanu D, Wang J, Wang TW, Wang Z, Wyslouch B, Chatterjee RM, Evans A, Hansen P, Hiltbrand J, Jain S, Krohn M, Kubota Y, Lesko Z, Mans J, Revering M, Rusack R, Saradhy R, Schroeder N, Strobbe N, Wadud MA, Acosta JG, Oliveros S, Bloom K, Chauhan S, Claes DR, Fangmeier C, Finco L, Golf F, Fernández JRG, Kravchenko I, Siado JE, Snow GR, Tabb W, Yan F, Agarwal G, Bandyopadhyay H, Harrington C, Hay L, Iashvili I, Kharchilava A, McLean C, Nguyen D, Pekkanen J, Rappoccio S, Roozbahani B, Alverson G, Barberis E, Freer C, Haddad Y, Hortiangtham A, Li J, Madigan G, Marzocchi B, Morse DM, Nguyen V, Orimoto T, Parker A, Skinnari L, Tishelman-Charny A, Wamorkar T, Wang B, Wisecarver A, Wood D, Bhattacharya S, Bueghly J, Chen Z, Gilbert A, Gunter T, Hahn KA, Odell N, Schmitt MH, Sung K, Velasco M, Bucci R, Dev N, Goldouzian R, Hildreth M, Anampa KH, Jessop C, Karmgard DJ, Lannon K, Loukas N, Marinelli N, Mcalister I, Meng F, Mohrman K, Musienko Y, Ruchti R, Siddireddy P, Taroni S, Wayne M, Wightman A, Wolf M, Zygala L, Alimena J, Bylsma B, Cardwell B, Durkin LS, Francis B, Hill C, Lefeld A, Winer BL, Yates BR, Das P, Dezoort G, Elmer P, Greenberg B, Haubrich N, Higginbotham S, Kalogeropoulos A, Kopp G, Kwan S, Lange D, Lucchini MT, Luo J, Marlow D, Mei K, Ojalvo I, Olsen J, Palmer C, Piroué P, Stickland D, Tully C, Malik S, Norberg S, Barnes VE, Chawla R, Das S, Gutay L, Jones M, Jung AW, Negro G, Neumeister N, Peng CC, Piperov S, Purohit A, Qiu H, Schulte JF, Stojanovic M, Trevisani N, Wang F, Wildridge A, Xiao R, Xie W, Cheng T, Dolen J, Parashar N, Baty A, Dildick S, Ecklund KM, Freed S, Geurts FJM, Kilpatrick M, Kumar A, Li W, Padley BP, Redjimi R, Roberts J, Rorie J, Shi W, Leiton AGS, Bodek A, de Barbaro P, Demina R, Dulemba JL, Fallon C, Ferbel T, Galanti M, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Ranken E, Taus R, Chiarito B, Chou JP, Gandrakota A, Gershtein Y, Halkiadakis E, Hart A, Heindl M, Hughes E, Kaplan S, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Osherson M, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Wang H, Acharya H, Delannoy AG, Spanier S, Bouhali O, Dalchenko M, Delgado A, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo S, Malhotra S, Mueller R, Overton D, Perniè L, Rathjens D, Safonov A, Akchurin N, Damgov J, Hegde V, Kunori S, Lamichhane K, Lee SW, Mengke T, Muthumuni S, Peltola T, Undleeb S, Volobouev I, Wang Z, Whitbeck A, Appelt E, Greene S, Gurrola A, Janjam R, Johns W, Maguire C, Melo A, Ni H, Padeken K, Romeo F, Sheldon P, Tuo S, Velkovska J, Arenton MW, Cox B, Cummings G, Hakala J, Hirosky R, Joyce M, Ledovskoy A, Li A, Neu C, Tannenwald B, Wang Y, Wolfe E, Xia F, Karchin PE, Poudyal N, Thapa P, Black K, Bose T, Buchanan J, Caillol C, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Hervé A, Hussain U, Lanaro A, Loeliger A, Loveless R, Sreekala JM, Mallampalli A, Pinna D, Savin A, Shang V, Sharma V, Smith WH, Teague D, Trembath-reichert S, Vetens W. Search for low-mass dilepton resonances in Higgs boson decays to four-lepton final states in proton-proton collisions at s = 13 TeV. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2022; 82:290. [PMID: 35467301 PMCID: PMC8979937 DOI: 10.1140/epjc/s10052-022-10127-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 02/12/2022] [Indexed: 06/14/2023]
Abstract
A search for low-mass dilepton resonances in Higgs boson decays is conducted in the four-lepton final state. The decay is assumed to proceed via a pair of beyond the standard model particles, or one such particle and a Z boson. The search uses proton-proton collision data collected with the CMS detector at the CERN LHC, corresponding to an integrated luminosity of 137 fb - 1 , at a center-of-mass energy s = 13 TeV . No significant deviation from the standard model expectation is observed. Upper limits at 95% confidence level are set on model-independent Higgs boson decay branching fractions. Additionally, limits on dark photon and axion-like particle production, based on two specific models, are reported.
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Grants
- Austrian Federal Ministry of Education, Science and Research
- Austrian Science Fund
- Belgian Fonds de la Recherche Scientifique
- Belgian Fonds voor Wetenschappelijk Onderzoek
- CNPq
- CAPES
- FAPERJ
- FAPERGS
- FAPESP
- Bulgarian Ministry of Education and Science
- Bulgarian National Science Fund
- CERN
- Chinese Academy of Sciences
- Ministry of Science and Technology
- Chinese National Natural Science Foundation of China
- Colombian Funding Agency (MINICIENCIAS)
- Croatian Ministry of Science, Education and Sport
- Croatian Science Foundation
- Research and Innovation Foundation
- SENESCYT
- Ministry of Education and Research
- Estonian Research Council via PRG780, PRG803, and PRG445
- European Regional Development Fund
- Academy of Finland
- Finnish Ministry of Education and Culture
- Helsinki Institute of Physics
- Institut National de Physique Nucléaire et de Physique des Particules
- Centre National de la Recherche Scientifique
- Commissariat à l’Énergie Atomique et aux Énergies Alternatives
- Bundesministerium für Bildung und Forschung
- Deutsche Forschungsgemeinschaft
- Helmholtz-Gemeinschaft Deutscher Forschungszentren
- General Secretariat for Research and Innovation
- National Research, Development and Innovation Fund
- 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 Science and Higher Education
- National Science Centre
- Fundação para a Ciência e a Tecnologia, CERN/FIS-PAR/0025/2019 and CERN/FIS-INS/0032/2019
- JINR, Dubna
- Ministry of Education and Science of the Russian Federation
- Federal Agency of Atomic Energy of the Russian Federation
- Russian Academy of Sciences
- Russian Foundation for Basic Research
- National Research Center “Kurchatov Institute”
- Ministry of Education, Science and Technological Development of Serbia
- Secretaría de Estado de Investigación, Desarrollo e Innovación
- Programa Consolider-Ingenio 2010
- Plan de Ciencia, Tecnología e Innovación 2017-2020 del Principado de Asturias, research project IDI-2018-000174
- Fondo Europeo de Desarrollo Regional, Spain
- 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, 884104 (European Union)
- Leventis Foundation
- Alfred P. Sloan Foundation
- Alexander von Humboldt Foundation
- Belgian Federal Science Policy Office
- Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium)
- Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium)
- Belgian Fonds de la Recherche Scientifique, “Excellence of Science - EOS” - be.h project n. 30820817
- Belgian Fonds voor Wetenschappelijk Onderzoek, “Excellence of Science - EOS” - be.h project n. 30820817
- Beijing Municipal Science & Technology Commission, No. Z191100007219010
- Ministry of Education, Youth and Sports (MEYS) of the Czech Republic
- Deutsche Forschungsgemeinschaft (DFG) under Germany’s Excellence Strategy - EXC 2121 “Quantum Universe” – 390833306
- Deutsche Forschungsgemeinschaft (DFG), project number 400140256 - GRK2497
- Lendúlet (“Momentum”) Programme and the János Bolyai Research Scholarship of the Hungarian Academy of Sciences
- New National Excellence Program ÚNKP, the NKFIA research grants 123842, 123959, 124845, 124850, 125105, 128713, 128786, and 129058
- Council of Scientific and Industrial Research, India
- Latvian Council of Science
- National Science Center, Opus 2014/15/B/ST2/03998 and 2015/19/B/ST2/02861
- 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. 14.W03.31.0026 and FSWW-2020-0008
- Russian Foundation for Basic Research, project No.19-42-703014
- Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2015-0509
- Programa Severo Ochoa del Principado de Asturias
- Stavros Niarchos Foundation
- 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
- 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
- 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
- Laboratori Nazionali di Legnaro, Legnaro
- Kyungpook National University, Daegu
- National Centre for Physics, Quaid-I-Azam University, Islamabad
- National Centre for Nuclear Research, Swierk
- Laboratório de Instrumentação e Física Experimental de Partículas, Lisboa
- Institute for High Energy Physics of National Research Centre ‘Kurchatov Institute’, Protvino
- Institute for Nuclear Research (INR) of the Russian Academy of Sciences, Troitsk
- Institute for Theoretical and Experimental Physics named by A.I. Alikhanov of NRC ’Kurchatov Institute’, Moscow
- Joint Institute for Nuclear Research, Dubna
- Korea Institute of Science and Technology Information (KISTI), Daejeon
- Centro de Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT), Madrid
- Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander
- Port d’Informació Científica, Bellaterra
- CERN, European Organization for Nuclear Research, Geneva
- CSCS - Swiss National Supercomputing Centre, Lugano
- National Center for High-performance Computing (NCHC), Hsinchu City
- Middle East Technical University, Physics Department, Ankara
- National Scientific Center, Kharkov Institute of Physics and Technology, Kharkov
- GridPP, Brunel University, Uxbridge
- GridPP, Imperial College, London
- GridPP, Queen Mary University of London, London
- GridPP, Royal Holloway, University of London, London
- GridPP, Rutherford Appleton Laboratory, Didcot
- GridPP, University of Bristol, Bristol
- GridPP, University of Glasgow, Glasgow
- GridPP, University of Oxford, Oxford
- California Institute of Technology, Pasadena
- Fermi National Accelerator Laboratory, Batavia
- Massachusetts Institute of Technology, Cambridge
- National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility, Berkeley
- Open Science Grid (OSG) Consortium
- Pittsburgh Supercomputing Center (PSC), Pittsburgh
- Purdue University, West Lafayette
- San Diego Supercomputer Center (SDSC), La Jolla
- Texas Advanced Computing Center (TACC), Austin
- University of California, San Diego, La Jolla
- University of Colorado Boulder, Boulder
- University of Florida, Gainesville
- University of Nebraska-Lincoln, Lincoln
- University of Wisconsin - Madison, Madison
- Vanderbilt University, Nashville
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Sheyfer D, Servis MJ, Zhang Q, Lal J, Loeffler T, Dufresne EM, Sandy AR, Narayanan S, Sankaranarayanan SKRS, Szczygiel R, Maj P, Soderholm L, Antonio MR, Stephenson GB. Advancing Chemical Separations: Unraveling the Structure and Dynamics of Phase Splitting in Liquid-Liquid Extraction. J Phys Chem B 2022; 126:2420-2429. [PMID: 35315675 DOI: 10.1021/acs.jpcb.1c09996] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Liquid-liquid extraction (LLE), the go-to process for a variety of chemical separations, is limited by spontaneous organic phase splitting upon sufficient solute loading, called third phase formation. In this study we explore the applicability of critical phenomena theory to gain insight into this deleterious phase behavior with the goal of improving separations efficiency and minimizing waste. A series of samples representative of rare earth purification were constructed to include each of one light and one heavy lanthanide (cerium and lutetium) paired with one of two common malonamide extractants (DMDOHEMA and DMDBTDMA). The resulting postextraction organic phases are chemically complex and often form rich hierarchical structures whose statics and dynamics near the critical point were probed herein with small-angle X-ray scattering and high-speed X-ray photon correlation spectroscopy. Despite their different extraction behaviors, all samples show remarkably similar critical behavior with exponents well described by classical critical point theory consistent with the 3D Ising model, where the critical behavior is characterized by fluctuations with a single diverging length scale. This unexpected result indicates a significant reduction in relevant chemical parameters at the critical point, indicating that the underlying behavior of phase transitions in LLE rely on far fewer variables than are generally assumed. The obtained scalar order parameter is attributed to the extractant fraction of the extractant/diluent mixture, revealing that other solution components and their respective concentrations simply shift the critical temperature but do not affect the nature of the critical fluctuations. These findings point to an opportunity to drastically simplify studies of liquid-liquid phase separation and phase diagram development in general while providing insights into LLE process improvement.
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37
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Sirunyan AM, Tumasyan A, Adam W, Ambrogi F, Bergauer T, Dragicevic M, Erö J, Escalante Del Valle A, Frühwirth R, Jeitler M, Krammer N, Lechner L, Liko D, Madlener T, Mikulec I, Pitters FM, Rad N, Schieck J, Schöfbeck R, Spanring M, Templ S, Waltenberger W, Wulz CE, Zarucki M, Chekhovsky V, Litomin A, Makarenko V, Suarez Gonzalez J, Darwish MR, De Wolf EA, Di Croce D, Janssen X, Kello T, Lelek A, Pieters M, Rejeb Sfar H, Van Haevermaet H, Van Mechelen P, Van Putte S, Van Remortel N, Blekman F, Bols ES, Chhibra SS, D'Hondt J, De Clercq J, Lontkovskyi D, Lowette S, Marchesini I, Moortgat S, Morton A, Python Q, Tavernier S, Van Doninck W, Van Mulders P, Beghin D, Bilin B, Clerbaux B, De Lentdecker G, Dorney B, Favart L, Grebenyuk A, Kalsi AK, Makarenko I, Moureaux L, Pétré L, Popov A, Postiau N, Starling E, Thomas L, Vander Velde C, Vanlaer P, Vannerom D, Wezenbeek L, Cornelis T, Dobur D, Gruchala M, Khvastunov I, Niedziela M, Roskas C, Skovpen K, Tytgat M, Verbeke W, Vermassen B, Vit M, Bruno G, Bury F, Caputo C, David P, Delaere C, Delcourt M, Donertas IS, Giammanco A, Lemaitre V, Mondal K, Prisciandaro J, Taliercio A, Teklishyn M, Vischia P, Wuyckens S, Zobec J, Alves GA, Correia Silva G, Hensel C, Moraes A, Aldá Júnior WL, Belchior Batista Das Chagas E, Brandao Malbouisson H, Carvalho W, Chinellato J, Coelho E, Da Costa EM, Da Silveira GG, De Jesus Damiao D, Fonseca De Souza S, Martins J, Matos Figueiredo D, Medina Jaime M, Melo De Almeida M, Mora Herrera C, Mundim L, Nogima H, Rebello Teles P, Sanchez Rosas LJ, Santoro A, Silva Do Amaral SM, Sznajder A, Thiel M, Tonelli Manganote EJ, Torres Da Silva De Araujo F, Vilela Pereira A, Bernardes CA, Calligaris L, Tomei TRFP, Gregores EM, Lemos DS, Mercadante PG, Novaes SF, Padula SS, Aleksandrov A, Antchev G, Atanasov I, Hadjiiska R, Iaydjiev P, Misheva M, Rodozov M, Shopova M, Sultanov G, Bonchev M, Dimitrov A, Ivanov T, Litov L, Pavlov B, Petkov P, Petrov A, Fang W, Guo Q, Wang H, Yuan L, Ahmad M, Hu Z, Wang Y, Chapon 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Das S, Gutay L, Jones M, Jung AW, Mahakud B, Negro G, Neumeister N, Peng CC, Piperov S, Qiu H, Schulte JF, Trevisani N, Wang F, Xiao R, Xie W, Cheng T, Dolen J, Parashar N, Stojanovic M, Baty A, Dildick S, Ecklund KM, Freed S, Geurts FJM, Kilpatrick M, Kumar A, Li W, Padley BP, Redjimi R, Roberts J, Rorie J, Shi W, Stahl Leiton AG, Bodek A, de Barbaro P, Demina R, Dulemba JL, Fallon C, Ferbel T, Galanti M, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Ranken E, Taus R, Chiarito B, Chou JP, Gandrakota A, Gershtein Y, Halkiadakis E, Hart A, Heindl M, Hughes E, Kaplan S, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Osherson M, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Wang H, Acharya H, Delannoy AG, Spanier S, Bouhali O, Dalchenko M, Delgado A, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo S, Malhotra S, Mueller R, Overton D, Perniè L, Rathjens D, Safonov A, Sturdy J, Akchurin N, Damgov J, Hegde V, Kunori S, Lamichhane K, Lee SW, Mengke T, Muthumuni S, Peltola T, Undleeb S, Volobouev I, Wang Z, Whitbeck A, Appelt E, Greene S, Gurrola A, Janjam R, Johns W, Maguire C, Melo A, Ni H, Padeken K, Romeo F, Sheldon P, Tuo S, Velkovska J, Verweij M, Arenton MW, Cox B, Cummings G, Hakala J, Hirosky R, Joyce M, Ledovskoy A, Li A, Neu C, Tannenwald B, Wang Y, Wolfe E, Xia F, Karchin PE, Poudyal N, Thapa P, Black K, Bose T, Buchanan J, Caillol C, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Hervé A, Hussain U, Lanaro A, Loeliger A, Loveless R, Madhusudanan Sreekala J, Mallampalli A, Pinna D, Ruggles T, Savin A, Shang V, Sharma V, Smith WH, Teague D, Trembath-Reichert S, Vetens W. Using Z Boson Events to Study Parton-Medium Interactions in Pb-Pb Collisions. PHYSICAL REVIEW LETTERS 2022; 128:122301. [PMID: 35394329 DOI: 10.1103/physrevlett.128.122301] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Revised: 01/16/2022] [Accepted: 02/25/2022] [Indexed: 06/14/2023]
Abstract
The spectra measurements of charged hadrons produced in the shower of a parton originating in the same hard scattering with a leptonically decaying Z boson are reported in lead-lead nuclei (Pb-Pb) and proton-proton (pp) collisions at a nucleon-nucleon center-of-mass energy of 5.02 TeV. Both Pb-Pb and pp data sets are recorded by the CMS experiment at the LHC and correspond to an integrated luminosity of 1.7 nb^{-1} and 320 pb^{-1}, respectively. Hadronic collision data with one reconstructed Z boson candidate with the transverse momentum p_{T}>30 GeV/c are analyzed. The Z boson constrains the initial energy and direction of the associated parton. In heavy ion events, azimuthal angular distributions of charged hadrons with respect to the direction of a Z boson are sensitive to modifications of the in-medium parton shower and medium response. compared to reference data from pp interactions, the results for central Pb-Pb collisions indicate a modification of the angular correlations. The measurements of the fragmentation functions and p_{T} spectra of charged particles in Z boson events, which are sensitive to medium modifications of the parton shower longitudinal structure, are also reported. Significant modifications in central Pb-Pb events compared to the pp reference data are also found for these observables.
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Bloom K, Chauhan S, Claes DR, Fangmeier C, Finco L, Golf F, Fernández JRG, Joo C, Kravchenko I, Siado JE, Snow GR, Tabb W, Yan F, Agarwal G, Bandyopadhyay H, Harrington C, Hay L, Iashvili I, Kharchilava A, McLean C, Nguyen D, Pekkanen J, Rappoccio S, Roozbahani B, Alverson G, Barberis E, Freer C, Haddad Y, Hortiangtham A, Li J, Madigan G, Marzocchi B, Morse DM, Nguyen V, Orimoto T, Parker A, Skinnari L, Tishelman-Charny A, Wamorkar T, Wang B, Wisecarver A, Wood D, Bhattacharya S, Bueghly J, Chen Z, Gilbert A, Gunter T, Hahn KA, Odell N, Schmitt MH, Sung K, Velasco M, Bucci R, Dev N, Goldouzian R, Hildreth M, Anampa KH, Jessop C, Karmgard DJ, Lannon K, Loukas N, Marinelli N, Mcalister I, Meng F, Mohrman K, Musienko Y, Ruchti R, Siddireddy P, Taroni S, Wayne M, Wightman A, Wolf M, Zygala L, Alimena J, Bylsma B, Cardwell B, Durkin LS, Francis B, Hill C, Lefeld A, Winer BL, Yates BR, Bonham B, Das P, Dezoort G, Elmer P, Greenberg B, Haubrich N, Higginbotham S, Kalogeropoulos A, Kopp G, Kwan S, Lange D, Lucchini MT, Luo J, Marlow D, Mei K, Ojalvo I, Olsen J, Palmer C, Piroué P, Stickland D, Tully C, Malik S, Norberg S, Barnes VE, Chawla R, Das S, Gutay L, Jones M, Jung AW, Negro G, Neumeister N, Peng CC, Piperov S, Purohit A, Qiu H, Schulte JF, Stojanovic M, Trevisani N, Wang F, Wildridge A, Xiao R, Xie W, Dolen J, Parashar N, Baty A, Dildick S, Ecklund KM, Freed S, Geurts FJM, Kilpatrick M, Kumar A, Li W, Padley BP, Redjimi R, Roberts J, Rorie J, Shi W, Leiton AGS, Bodek A, de Barbaro P, Demina R, Dulemba JL, Fallon C, Ferbel T, Galanti M, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Ranken E, Taus R, Chiarito B, Chou JP, Gandrakota A, Gershtein Y, Halkiadakis E, Hart A, Heindl M, Hughes E, Kaplan S, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Osherson M, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Wang H, Acharya H, Delannoy AG, Spanier S, Bouhali O, Dalchenko M, Delgado A, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo S, Malhotra S, Mueller R, Overton D, Perniè L, Rathjens D, Safonov A, Akchurin N, Damgov J, Hegde V, Kunori S, Lamichhane K, Lee SW, Mengke T, Muthumuni S, Peltola T, Undleeb S, Volobouev I, Wang Z, Whitbeck A, Appelt E, Greene S, Gurrola A, Janjam R, Johns W, Maguire C, Melo A, Ni H, Padeken K, Romeo F, Sheldon P, Tuo S, Velkovska J, Arenton MW, Cox B, Cummings G, Hakala J, Hirosky R, Joyce M, Ledovskoy A, Li A, Neu C, Tannenwald B, Wang Y, Wolfe E, Xia F, Karchin PE, Poudyal N, Thapa P, Black K, Bose T, Buchanan J, Caillol C, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Hervé A, Hussain U, Lanaro A, Loeliger A, Loveless R, Sreekala JM, Mallampalli A, Pinna D, Savin A, Shang V, Sharma V, Smith WH, Teague D, Trembath-reichert S, Vetens W. Search for strongly interacting massive particles generating trackless jets in proton-proton collisions at s = 13 TeV. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2022; 82:213. [PMID: 35302730 PMCID: PMC8913525 DOI: 10.1140/epjc/s10052-022-10095-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 02/05/2022] [Indexed: 06/14/2023]
Abstract
A search for dark matter in the form of strongly interacting massive particles (SIMPs) using the CMS detector at the LHC is presented. The SIMPs would be produced in pairs that manifest themselves as pairs of jets without tracks. The energy fraction of jets carried by charged particles is used as a key discriminator to suppress efficiently the large multijet background, and the remaining background is estimated directly from data. The search is performed using proton-proton collision data corresponding to an integrated luminosity of 16.1 fb - 1 , collected with the CMS detector in 2016. No significant excess of events is observed above the expected background. For the simplified dark matter model under consideration, SIMPs with masses up to 100 GeV are excluded and further sensitivity is explored towards higher masses.
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Grants
- Austrian Federal Ministry of Education, Science and Research
- Austrian Science Fund
- Belgian Fonds de la Recherche Scientifique
- Belgian Fonds voor Wetenschappelijk Onderzoek
- CNPq
- CAPES
- FAPERJ
- FAPERGS
- FAPESP
- Bulgarian Ministry of Education and Science
- Bulgarian National Science Fund
- CERN
- Chinese Academy of Sciences
- Ministry of Science and Technology
- Chinese National Natural Science Foundation of China
- Colombian Funding Agency (MINICIENCIAS)
- Croatian Ministry of Science, Education and Sport
- Croatian Science Foundation
- Research and Innovation Foundation
- SENESCYT
- Ministry of Education and Research
- Estonian Research Council via PRG780, PRG803, and PRG445
- European Regional Development Fund
- Academy of Finland
- Finnish Ministry of Education and Culture
- Helsinki Institute of Physics
- Institut National de Physique Nucléaire et de Physique des Particules
- Centre National de la Recherche Scientifique
- Commissariat à l’Énergie Atomique et aux Énergies Alternatives
- Bundesministerium für Bildung und Forschung
- Deutsche Forschungsgemeinschaft
- Helmholtz-Gemeinschaft Deutscher Forschungszentren
- General Secretariat for Research and Innovation
- National Research, Development and Innovation Fund
- 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 Science and Higher Education
- National Science Centre
- Fundação para a Ciência e a Tecnologia, CERN/FIS-PAR/0025/2019 and CERN/FIS-INS/0032/2019
- JINR, Dubna
- Ministry of Education and Science of the Russian Federation
- Federal Agency of Atomic Energy of the Russian Federation
- Russian Academy of Sciences
- Russian Foundation for Basic Research
- National Research Center “Kurchatov Institute”
- Ministry of Education, Science and Technological Development of Serbia
- Secretaría de Estado de Investigación, Desarrollo e Innovación
- Programa Consolider-Ingenio 2010
- Plan de Ciencia, Tecnología e Innovación 2017-2020 del Principado de Asturias, research project IDI-2018-000174
- Fondo Europeo de Desarrollo Regional, Spain
- MOSTR
- ETH Board
- ETH Zurich
- PSI
- SNF
- UniZH
- Canton Zurich
- SER
- Ministry of Science and Technology
- 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, 884104 (European Union)
- Leventis Foundation
- Alfred P. Sloan Foundation
- Alexander von Humboldt Foundation
- Belgian Federal Science Policy Office
- Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium)
- Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium)
- Belgian Fonds de la Recherche Scientifique, “Excellence of Science - EOS” - be.h project n. 30820817
- Belgian Fonds voor Wetenschappelijk Onderzoek, “Excellence of Science - EOS” - be.h project n. 30820817
- Beijing Municipal Science & Technology Commission, No. Z191100007219010
- Ministry of Education, Youth and Sports (MEYS) of the Czech Republic
- Deutsche Forschungsgemeinschaft (DFG) under Germany’s Excellence Strategy - EXC 2121 “Quantum Universe” – 390833306
- Deutsche Forschungsgemeinschaft (DFG), project number 400140256 - GRK2497
- Lendúlet (“Momentum”) Programme and the János Bolyai Research Scholarship of the Hungarian Academy of Sciences
- New National Excellence Program ÚNKP, the NKFIA research grants 123842, 123959, 124845, 124850, 125105, 128713, 128786, and 129058
- Council of Scientific and Industrial Research, India
- Latvian Council of Science
- National Science Center, Opus 2014/15/B/ST2/03998 and 2015/19/B/ST2/02861
- 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. 14.W03.31.0026 and FSWW-2020-0008
- Russian Foundation for Basic Research, project No.19-42-703014
- Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2015-0509
- Programa Severo Ochoa del Principado de Asturias
- Stavros Niarchos Foundation
- 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
- 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
- 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
- Laboratori Nazionali di Legnaro, Legnaro
- Kyungpook National University, Daegu
- National Centre for Physics, Quaid-I-Azam University, Islamabad
- National Centre for Nuclear Research, Swierk
- Laboratório de Instrumentação e Física Experimental de Partículas, Lisboa
- Institute for High Energy Physics of National Research Centre ‘Kurchatov Institute’, Protvino
- Institute for Nuclear Research (INR) of the Russian Academy of Sciences, Troitsk
- Institute for Theoretical and Experimental Physics named by A.I. Alikhanov of NRC ’Kurchatov Institute’, Moscow
- Joint Institute for Nuclear Research, Dubna
- Korea Institute of Science and Technology Information (KISTI), Daejeon
- Centro de Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT), Madrid
- Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander
- Port d’Informació Científica, Bellaterra
- CERN, European Organization for Nuclear Research, Geneva
- CSCS - Swiss National Supercomputing Centre, Lugano
- National Center for High-performance Computing (NCHC), Hsinchu City
- Middle East Technical University, Physics Department, Ankara
- National Scientific Center, Kharkov Institute of Physics and Technology, Kharkov
- GridPP, Brunel University, Uxbridge
- GridPP, Imperial College, London
- GridPP, Queen Mary University of London, London
- GridPP, Royal Holloway, University of London, London
- GridPP, Rutherford Appleton Laboratory, Didcot
- GridPP, University of Bristol, Bristol
- GridPP, University of Glasgow, Glasgow
- GridPP, University of Oxford, Oxford
- California Institute of Technology, Pasadena
- Fermi National Accelerator Laboratory, Batavia
- Massachusetts Institute of Technology, Cambridge
- National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility, Berkeley
- Open Science Grid (OSG) Consortium
- Pittsburgh Supercomputing Center (PSC), Pittsburgh
- Purdue University, West Lafayette
- San Diego Supercomputer Center (SDSC), La Jolla
- Texas Advanced Computing Center (TACC), Austin
- University of California, San Diego, La Jolla
- University of Colorado Boulder, Boulder
- University of Florida, Gainesville
- University of Nebraska-Lincoln, Lincoln
- University of Wisconsin-Madison, Madison
- Vanderbilt University, Nashville
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Macrander A, Assoufid L, Narayanan S, Khachatryan R. Diffuse X-ray scattering from polished silicon: application of the distorted wave Born approximation. JOURNAL OF SYNCHROTRON RADIATION 2022; 29:447-455. [PMID: 35254308 PMCID: PMC8900862 DOI: 10.1107/s1600577522000534] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 01/14/2022] [Indexed: 06/14/2023]
Abstract
Measured diffuse X-ray scattering data for a `smooth' as well as for a `rough' silicon sample were fit to theoretical expressions within the distorted wave Born approximation (DWBA). Data for the power spectral density (PSD) for both samples were also obtained by means of atomic force microscopy and optical interferometry. The Fourier transforms of trial correlation functions were fit to the PSD data and then applied to the DWBA formalism. The net correlation functions needed to fit the PSD data for each sample comprised the sum of two terms with different cutoff lengths and different self-affine fractal exponents. At zero distance these correlation functions added up to yield net values of σ2 = (2)2 and (71)2 Å2 for the smooth and rough samples, respectively. X-ray scattering data were obtained at beamline 1-BM of the Advanced Photon Source. Data and fits at values of qz = 0.05 and 0.10 Å-1 for the smooth sample are reported. Good fits for the smooth sample were obtained at both qz values simultaneously, that is, identical fitting parameters were applied at both values of qz. The smooth sample also exhibited weak Yoneda wings and a clear distinction between the strong specular scattering and the weak diffuse scattering. Data for the rough sample were qualitatively different and exhibited very weak scattering at the specular condition in contrast to extremely large Yoneda wings. Fits for the rough sample are reported for qz = 0.04, 0.05, and 0.06 Å-1. Although the large Yoneda wings could be fit quite well in both position and amplitude, scattering near the specular condition could not be equally well fit by applying the same fitting parameters at all values of qz. Albeit imperfect, best-fitting results at the specular condition were obtained by invoking only diffuse scattering, that is, without including a separate theoretical expression for specular scattering.
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Singh D, Narayanan S, Vicknasingam B, Prozialeck WC, Smith KE, Corazza O, Henningfield JE, Grundmann O. The Use of Kratom (Mitragyna speciosa Korth.) Among People Who Co-use Heroin and Methamphetamine in Malaysia. J Addict Med 2022; 16:223-228. [PMID: 34001777 DOI: 10.1097/adm.0000000000000876] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVES Kratom (Mitragyna speciosa Korth.), an indigenous medicinal plant, has been widely used as a traditional remedy in Southeast Asia. However, its combined consumption with other substances has received scarce attention. This study investigates the use of kratom among adults with a history of using heroin and methamphetamine in Malaysia. METHODS A total of 332 patients who were mandated to undergo drug rehabilitation participated in this cross-sectional study. The study data were collected through face-to-face interviews using a semi-structured questionnaire. RESULTS The majority were males (95%, n = 314/332) and Malays (98%, n = 325/332) with a mean age of 32.3 years (SD = 9.16). Over two thirds of the respondents used kratom to alleviate heroin withdrawal symptoms and to reduce methamphetamine intake; 59% used it as a substitute for heroin and methamphetamine. A similar proportion used kratom to reduce heroin intake (58%), while only 15% used it for its euphoric effects. Multivariate analysis showed that previous attendees of government rehabilitation programs had lower odds of using kratom as a heroin substitute. CONCLUSIONS The potential of kratom to alleviate heroin withdrawal symptoms, and to reduce methamphetamine and heroin intake, among people who co-use heroin and methamphetamine warrants further research.
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Kamat A, Steinberg G, Inman B, Kates M, Uchio E, Porten S, Rouperet M, Palou J, Catto J, Kulkarni G, Powles T, Tyson M, Haas G, Ding X, Narayanan S, Lotan Y. Study EV-104: Phase 1 study of intravesical enfortumab vedotin for treatment of patients with Non-Muscle Invasive Bladder Cancer (NMIBC) (Trial in Progress). Eur Urol 2022. [DOI: 10.1016/s0302-2838(22)00414-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Raja G, Nallathambi A, Prakasam A, Gopinath S, Ragupathi C, Narayanan S, Tamizhdurai P, Kumaran R, Alsaiari NS, Abualnaja KM, Ouladsmane M. Effect of lattice strain on structure, morphology, electrical conductivity and magneto-optical and catalytic properties of Ni-doped Mn3O4 nano-crystallites synthesized by microwave route. JOURNAL OF SAUDI CHEMICAL SOCIETY 2022. [DOI: 10.1016/j.jscs.2022.101440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Sirunyan AM, Tumasyan A, Adam W, Ambrogi F, Bergauer T, Dragicevic M, Erö J, Escalante Del Valle A, Flechl M, Frühwirth R, Jeitler M, Krammer N, Krätschmer I, Liko D, Madlener T, Mikulec I, Rad N, Schieck J, Schöfbeck R, Spanring M, Waltenberger W, Wulz CE, Zarucki M, Drugakov V, Mossolov V, Suarez Gonzalez J, Darwish MR, De Wolf EA, Di Croce D, Janssen X, Kello T, Lelek A, Pieters M, Rejeb Sfar H, Van Haevermaet H, Van Mechelen P, Van Putte S, Van Remortel N, Blekman F, Bols ES, Chhibra SS, D'Hondt J, De Clercq J, Lontkovskyi D, Lowette S, Marchesini I, Moortgat S, Python Q, Tavernier S, Van Doninck W, Van Mulders P, Beghin D, Bilin B, Clerbaux B, De Lentdecker G, Delannoy H, Dorney B, Favart L, Grebenyuk A, Kalsi AK, Moureaux L, Popov A, Postiau N, Starling E, Thomas L, Vander Velde C, Vanlaer P, Vannerom D, Cornelis T, Dobur D, Khvastunov I, Niedziela M, Roskas C, Skovpen K, Tytgat M, Verbeke W, Vermassen B, Vit M, Bruno G, Caputo C, David P, Delaere C, Delcourt M, Giammanco A, Lemaitre V, Prisciandaro J, Saggio A, Vischia P, Zobec J, Alves GA, Correia Silva G, Hensel C, Moraes A, Belchior Batista Das Chagas E, Carvalho W, Chinellato J, Coelho E, Da Costa EM, Da Silveira GG, De Jesus Damiao D, De Oliveira Martins C, Fonseca De Souza S, Malbouisson H, Martins J, Matos Figueiredo D, Medina Jaime M, Melo De Almeida M, Mora Herrera C, Mundim L, Nogima H, Prado Da Silva WL, Rebello Teles P, Sanchez Rosas LJ, Santoro A, Sznajder A, Thiel M, Tonelli Manganote EJ, Torres Da Silva De Araujo F, Vilela Pereira A, Bernardes CA, Calligaris L, Tomei TRFP, Gregores EM, Lemos DS, Mercadante PG, Novaes SF, Padula SS, Aleksandrov A, Antchev G, Hadjiiska R, Iaydjiev P, Misheva M, Rodozov M, Shopova M, Sultanov G, Bonchev M, Dimitrov A, Ivanov T, Litov L, Pavlov B, Petkov P, Petrov A, Fang W, Gao X, Yuan L, Ahmad M, Hu Z, Wang Y, Chen GM, Chen HS, Chen M, Jiang CH, Leggat D, Liao H, Liu Z, Spiezia A, Tao J, Yazgan E, Zhang H, Zhang S, Zhao J, Agapitos A, Ban Y, Chen G, Levin A, Li J, Li L, Li Q, Mao Y, Qian SJ, Wang D, Wang Q, Xiao M, Avila C, Cabrera A, Florez C, González Hernández CF, Segura Delgado MA, Mejia Guisao J, Ruiz Alvarez JD, Salazar González CA, Vanegas Arbelaez N, Giljanović D, Godinovic N, Lelas D, Puljak I, Sculac T, Antunovic Z, Kovac M, Brigljevic V, Ferencek D, Kadija K, Mesic B, Roguljic M, Starodumov A, Susa T, Ather MW, Attikis A, Erodotou E, Ioannou A, Kolosova M, Konstantinou S, Mavromanolakis G, Mousa J, Nicolaou C, Ptochos F, Razis PA, Rykaczewski H, Saka H, Tsiakkouri D, Finger M, Finger M, Kveton A, Tomsa J, Ayala E, Carrera Jarrin E, Mahmoud MA, Mohammed Y, Bhowmik S, Carvalho Antunes De Oliveira A, Dewanjee RK, Ehataht K, Kadastik M, Raidal M, Veelken C, Eerola P, Forthomme L, Kirschenmann H, Osterberg K, Voutilainen M, Garcia F, Havukainen J, Heikkilä JK, Karimäki V, Kim MS, Kinnunen R, Lampén T, Lassila-Perini K, Laurila S, Lehti S, Lindén T, Siikonen H, Tuominen E, Tuominiemi J, Luukka P, Tuuva T, Besancon M, Couderc F, Dejardin M, Denegri D, Fabbro B, Faure JL, Ferri F, Ganjour S, Givernaud A, Gras P, Hamel de Monchenault G, Jarry P, Leloup C, Lenzi B, Locci E, Malcles J, Rander J, Rosowsky A, Sahin MÖ, Savoy-Navarro A, Titov M, Yu GB, Ahuja S, Amendola C, Beaudette F, Bonanomi M, Busson P, Charlot C, Diab B, Falmagne G, Granier de Cassagnac R, Kucher I, Lobanov A, Martin Perez C, Nguyen M, Ochando C, Paganini P, Rembser J, Salerno R, Sauvan JB, Sirois Y, Zabi A, Zghiche A, Agram JL, Andrea J, Bloch D, Bourgatte G, Brom JM, Chabert EC, Collard C, Conte E, Fontaine JC, Gelé D, Goerlach U, Grimault C, Le Bihan AC, Tonon N, Van Hove P, Gadrat S, Beauceron S, Bernet C, Boudoul G, Camen C, Carle A, Chanon N, Chierici R, Contardo D, Depasse P, El Mamouni H, Fay J, Gascon S, Gouzevitch M, Ille B, Jain S, Laktineh IB, Lattaud H, Lesauvage A, Lethuillier M, Mirabito L, Perries S, Sordini V, Torterotot L, Touquet G, Vander Donckt M, Viret S, Toriashvili T, Tsamalaidze Z, Autermann C, Feld L, Klein K, Lipinski 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M, Kovalskyi D, Lee YJ, Luckey PD, Maier B, Marini AC, Mcginn C, Mironov C, Narayanan S, Niu X, Paus C, Rankin D, Roland C, Roland G, Shi Z, Stephans GSF, Sumorok K, Tatar K, Velicanu D, Wang J, Wang TW, Wyslouch B, Chatterjee RM, Evans A, Guts S, Hansen P, Hiltbrand J, Jain S, Kubota Y, Lesko Z, Mans J, Revering M, Rusack R, Saradhy R, Schroeder N, Strobbe N, Wadud MA, Acosta JG, Oliveros S, Bloom K, Chauhan S, Claes DR, Fangmeier C, Finco L, Golf F, Kamalieddin R, Kravchenko I, Siado JE, Snow GR, Stieger B, Tabb W, Agarwal G, Harrington C, Iashvili I, Kharchilava A, McLean C, Nguyen D, Parker A, Pekkanen J, Rappoccio S, Roozbahani B, Alverson G, Barberis E, Freer C, Haddad Y, Hortiangtham A, Madigan G, Marzocchi B, Morse DM, Nguyen V, Orimoto T, Skinnari L, Tishelman-Charny A, Wamorkar T, Wang B, Wisecarver A, Wood D, Bhattacharya S, Bueghly J, Fedi G, Gilbert A, Gunter T, Hahn KA, Odell N, Schmitt MH, Sung K, Velasco M, Bucci R, Dev N, Goldouzian R, Hildreth M, Hurtado Anampa K, Jessop C, Karmgard DJ, Lannon K, Li W, Loukas N, Marinelli N, Mcalister I, Meng F, Musienko Y, Ruchti R, Siddireddy P, Smith G, Taroni S, Wayne M, Wightman A, Wolf M, Alimena J, Bylsma B, Cardwell B, Durkin LS, Francis B, Hill C, Ji W, Lefeld A, Ling TY, Winer BL, Dezoort G, Elmer P, Hardenbrook J, Haubrich N, Higginbotham S, Kalogeropoulos A, Kwan S, Lange D, Lucchini MT, Luo J, Marlow D, Mei K, Ojalvo I, Olsen J, Palmer C, Piroué P, Stickland D, Tully C, Malik S, Norberg S, Barker A, Barnes VE, Chawla R, Das S, Gutay L, Jones M, Jung AW, Mahakud B, Miller DH, Negro G, Neumeister N, Peng CC, Piperov S, Qiu H, Schulte JF, Trevisani N, Wang F, Xiao R, Xie W, Cheng T, Dolen J, Parashar N, Baty A, Behrens U, Dildick S, Ecklund KM, Freed S, Geurts FJM, Kilpatrick M, Kumar A, Li W, Padley BP, Redjimi R, Roberts J, Rorie J, Shi W, Stahl Leiton AG, Tu Z, Zhang A, Bodek A, de Barbaro P, Demina R, Dulemba JL, Fallon C, Ferbel T, Galanti M, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Ranken E, Taus R, Chiarito B, Chou JP, Gandrakota A, Gershtein Y, Halkiadakis E, Hart A, Heindl M, Hughes E, Kaplan S, Laflotte I, Lath A, Montalvo R, Nash K, Osherson M, Salur S, Schnetzer S, Somalwar S, Stone R, Thomas S, Acharya H, Delannoy AG, Spanier S, Bouhali O, Dalchenko M, De Mattia M, Delgado A, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo S, Malhotra S, Marley D, Mueller R, Overton D, Perniè L, Rathjens D, Safonov A, Akchurin N, Damgov J, De Guio F, Hegde V, Kunori S, Lamichhane K, Lee SW, Mengke T, Muthumuni S, Peltola T, Undleeb S, Volobouev I, Wang Z, Whitbeck A, Greene S, Gurrola A, Janjam R, Johns W, Maguire C, Melo A, Ni H, Padeken K, Romeo F, Sheldon P, Tuo S, Velkovska J, Verweij M, Arenton MW, Barria P, Cox B, Cummings G, Hakala J, Hirosky R, Joyce M, Ledovskoy A, Neu C, Tannenwald B, Wang Y, Wolfe E, Xia F, Harr R, Karchin PE, Poudyal N, Sturdy J, Thapa P, Black K, Bose T, Buchanan J, Caillol C, Carlsmith D, Dasu S, De Bruyn I, Dodd L, Galloni C, He H, Herndon M, Hervé A, Hussain U, Lanaro A, Loeliger A, Loveless R, Madhusudanan Sreekala J, Mallampalli A, Pinna D, Ruggles T, Savin A, Sharma V, Smith WH, Teague D, Trembath-Reichert S. Evidence for X(3872) in Pb-Pb Collisions and Studies of its Prompt Production at sqrt[s_{NN}]=5.02 TeV. PHYSICAL REVIEW LETTERS 2022; 128:032001. [PMID: 35119878 DOI: 10.1103/physrevlett.128.032001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 09/02/2021] [Accepted: 12/22/2021] [Indexed: 06/14/2023]
Abstract
The first evidence for X(3872) production in relativistic heavy ion collisions is reported. The X(3872) production is studied in lead-lead (Pb-Pb) collisions at a center-of-mass energy of sqrt[s_{NN}]=5.02 TeV per nucleon pair, using the decay chain X(3872)→J/ψπ^{+}π^{-}→μ^{+}μ^{-}π^{+}π^{-}. The data were recorded with the CMS detector in 2018 and correspond to an integrated luminosity of 1.7 nb^{-1}. The measurement is performed in the rapidity and transverse momentum ranges |y|<1.6 and 15<p_{T}<50 GeV/c. The significance of the inclusive X(3872) signal is 4.2 standard deviations. The prompt X(3872) to ψ2S yield ratio is found to be ρ^{Pb-Pb}=1.08±0.49(stat)±0.52(syst), to be compared with typical values of 0.1 for pp collisions. This result provides a unique experimental input to theoretical models of the X(3872) production mechanism, and of the nature of this exotic state.
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Anandan A, Athirah Daud NA, Vicknasingam B, Narayanan S, Azman A, Singh D. Factors associated with drug use during pregnancy and breastfeeding among females who use drugs (FWUDs) in Malaysia. J Ethn Subst Abuse 2021; 22:766-781. [PMID: 34965841 DOI: 10.1080/15332640.2021.2019162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Females who use drugs (FWUDs) are at risk of continuing illicit substance use during pregnancy and breastfeeding. We investigated the prevalence rates and factors associated with these practices in a sample of 200 FWUDs recruited from a publicly-run drug rehabilitation center. A semi-structured questionnaire was used to collect the data. The majority (86%) was Malay (n = 171/200), currently single (71%, n = 141/200), and 51% had nine years of education. The mean age of respondents was 32.2 years (SD = 8.61). Thirty-eight percent (n = 75/200) reported ever using illicit substances during pregnancy, while 15% (n = 30/200) had used them during breastfeeding. Higher odds of using drugs during pregnancy were associated with having an intimate male drug-using partner and with persons who reported abandoning an infant in the past. Lower odds were linked with women who used heroin with ATS (relative to those who used only ATS), and shorter-term ATS (≤3 years) relative to long term ATS users. At a lower level of significance (p = 0.054), being married also lowered the odds. Higher odds of drug use during breastfeeding were associated with having an intimate male drug-using partner, and previous methadone use history, while lower odds were associated with short-term ATS use and being employed. The findings highlight the need for timely and targeted interventions to inform, engage and promote the participation of FWUDs in pre- and post-natal care services.
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Brokus C, Kattakuzhy S, Gayle B, Narayanan S, Davis A, Cover A, Eyasu R, Ebah E, Ogbumbadiugha-Weekes O, Hoffmann J, Silk R, Stevens J, Mount J, Gannon C, Nussdorf L, Mathur P, Bijole P, Jones M, Kier R, Sternberg D, Greenblatt A, Weintraub E, Masur H, Kottilil S, Rosenthal E. Suboptimal uptake, retention, and adherence of daily oral PrEP among people with OUD receiving HCV treatment. Open Forum Infect Dis 2021; 9:ofab658. [PMID: 35187191 PMCID: PMC8849288 DOI: 10.1093/ofid/ofab658] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 12/24/2021] [Indexed: 11/26/2022] Open
Abstract
Background Daily oral preexposure prophylaxis (PrEP) with tenofovir disoproxil fumarate (TDF)/emtricitabine (FTC) prevents human immunodeficiency (HIV) among people who inject drugs (PWID). Despite rising HIV incidence and injection drug use (IDU), PrEP use remains low and there is limited research about uptake, adherence, and retention among PWID. Methods The ANCHOR investigation evaluated a community-based care model collocating hepatitis C virus (HCV) treatment, medication for opioid use disorder (OUD), and PrEP in individuals in Washington, DC, and Baltimore, Maryland. PrEP counseling was conducted from HCV treatment day 0 until week 24. Subjects could start any time during this window, were followed for 48 weeks, and were assessed for adherence by self-report and dried blood spot TDF analysis. Results One hundred ninety-eight participants were enrolled, of whom 185 (93%) were HIV negative. Twenty-nine individuals (15.7% of HIV-negative cohort) initiated PrEP. One hundred sixteen participants (62.7%) met 2014 Centers for Disease Control and Prevention (CDC) PrEP criteria due to IDU (82 [44.3%]), sex (9 [4.9%]), or both practices (25 [13.5%]). Providers recommended PrEP to 94 individuals (50.8%), and recommendation was associated with PrEP uptake. Median treatment duration was 104 days (interquartile range, 28–276 days), with 8 participants retained through week 48. Adherence was variable over time by self-report and declined by TDF analysis. No HIV seroconversions occurred. Conclusions This cohort of people with HCV and OUD experienced low uptake of PrEP despite the majority meeting CDC criteria. High rates of disruption and discontinuation, compounded by variable adherence, made TDF/FTC a suboptimal prevention strategy. Emerging modalities like long-acting formulations may address these barriers, but PWID have been excluded from their development to date.
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Tiwari DP, Shah P, Van den Abbeele P, Marzorati M, Calatayud M, Ghyselinck J, Dubey AK, Narayanan S, Jain M. Microbial fermentation of Fossence™, a short-chain fructo-oligosaccharide, under simulated human proximal colonic condition and assessment of its prebiotic effects-a pilot study. FEMS Microbiol Lett 2021; 368:6442184. [PMID: 34849765 DOI: 10.1093/femsle/fnab147] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 11/24/2021] [Indexed: 11/14/2022] Open
Abstract
A short-chain fructo-oligosaccharide (sc-FOS) was tested in a simulator of the human gut microbial ecosystem (SHIME) in vitro model to quantify its prebiotic effects according to Prebiotic Index (PI) and Measure of prebiotic effect (MPE) equations. FossenceTM, (sc-FOS, 0.5%) was fermented in a simulated human proximal colonic condition, using a fecal inoculum from a healthy individual. We analysed the pH reduction, substrate utilization, lactate and short-chain fatty acid (SCFA) production and microbial community modulation. Microbial fermentation of sc-FOS strongly reduced the media pH indicating the production of lactate and SCFA with accumulation of lactate and enhanced levels of acetate (34.38 ± 0.38 mM), propionate (20.93 ± 0.56 mM) and butyrate (4.93 ± 0.03 mM) compared to 18.46 ± 0.20 mM, 6.24 ± 0.10 mM and 3.3 ± 0.06 mM in the blank, respectively. Total SCFA production in test media was 61.91 ± 0.87 mM compared to 33.65 ± 0.36 mM in blank and the contribution of free-sugars present in sc-FOS to SCFAs was negligible. Modulation of the microbial community was analysed through 16S rRNA sequencing and we found that sc-FOS greatly stimulated the beneficial bacteria such as Bifidobacteria and Lactobacillus. We report the PI and MPE values for FossenceTM, as 14.9 and 0.01 respectively at the end of 24 h, which is an indicator of a strong prebiotic effect.
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Darvishi S, Nazeer MA, Tyagi M, Zhang Q, Narayanan S, Kizilel S, Senses E. Nonlinear Architectures Can Alter the Dynamics of Polymer–Nanoparticle Composites. Macromolecules 2021. [DOI: 10.1021/acs.macromol.1c01382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Devarakonda S, Narayanan S, Lingamdenne PE, Kandasamy S, Korula PJ. 1063 Incidence, Risk Factors, and Outcomes of ARDS in Patients with SARS-CoV-2 Infection. Br J Surg 2021. [DOI: 10.1093/bjs/znab259.491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Abstract
Introduction
Many asymptomatic patients are diagnosed with SARS-CoV-2 infection on screening, which might alter their expected course of illness. We wanted to study the incidence, risk factors, and ARDS outcomes in these patients admitted to our ITU.
Method
A review of all admissions (medical, surgical, and obstetric) to our ITU from May to October 2020 was done after institutional ethics approval. Age, gender, comorbidities, admission diagnosis, APACHE II score, and in-hospital course were studied. ARDS was defined as PaO2/FiO2 ≤ 300 mmHg (with PEEP or CPAP ≥ 5 cmH2O) in the absence of cardiac failure or fluid overload. Data were analyzed using Statistical Package for Social Services (SPSS) software Version 21.0 (Armonk, NY: IBM Corp).
Results
Of the 832 cases, 119 (14.3%) had SARS-CoV-2 infection. 41 of 119 (34.4%) cases developed ARDS. Among the comorbidities studied, only hypertension (OR 2.6, 95% CI 1.0-6.2) seemed to increase ARDS odds. Patients with Severe Acute Respiratory Illness (SARI) had a higher incidence of ARDS when compared to the asymptomatic ones (P < .05). Patients with sepsis (OR 5.8, 95% CI 2.4-13.7) and APACHE II score ≥10 (OR 5, 95% CI 2.0-12.3) had higher odds of developing ARDS. Age, gender, trauma, and recent surgery did not seem to increase the risk of ARDS.
Conclusions
Even though COVID-19 patients admitted with SARI and sepsis are at a higher risk of developing ARDS, further research will be needed to predict the extent to which SARS-CoV-2 infection will influence the course of their illness.
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Khan ID, Gonimadatala G, Narayanan S, Kapoor U, Kaur H, Makkar A, Gupta R. Morbidity, mortality, and emerging drug resistance in Device-associated infections (DAIs) in intensive care patients at a 1000-bedded tertiary care teaching hospital. Med J Armed Forces India 2021; 78:221-231. [PMID: 35463554 PMCID: PMC9023779 DOI: 10.1016/j.mjafi.2021.06.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 06/28/2021] [Indexed: 11/17/2022] Open
Abstract
Background Device-associated infections (DAIs) such as ventilator associated pneumonia (VAP), central line-associated blood stream infection (CLABSI), and catheter-related urinary tract infection (CAUTI) are principal contributors to health hazard and a major preventable threat to patient safety. Robust surveillance of DAI delineates infections, pathogens, resistograms, and facilitates antimicrobial therapy, infection-control, antimicrobial stewardship, and improvement in quality of care. Methods This prospective outcome surveillance study was conducted amongst 2067 ICU patients in a 1000-bedded teaching hospital. Clinical, laboratory, and environmental surveillance, as well as screening of health care professionals (HCPs) were conducted using the modified US Centers for Disease Control and Prevention-National Healthcare Safety Network definitions and methods. Morbidity, mortality, and health-care indices were analyzed and two-tier infection prevention and control was promulgated. Results Mean occupancy was 95.34% for 2061 patients of 7381 patients/bed/ICU days. One hundred seventeen episodes of DAI occurred in 1258 patients of 12,882 device-days with mean device utilization ratio of 1.79. Mean rate of DAI was 7.40 per 1000 device days. Multiresistant Pseudomonas aeruginosa was most commonly followed by Acinetobacter. Mean all-cause mortality in ICU was 24.85%, whereas all-cause mortality after DAI was 9.79%. Methicillin-resistant Staphylococcus aureus prevalence was 38.46% amongst health-care professionals. Conclusion Mean rates of VAP, CLABSI, and CAUTI were 20.69, 2.53, and 2.23 per 1000 device days comparable with Indian and global ICUs. Resolute conviction and sustained momentum in infection prevention and control is an essential step toward patient safety.
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Sirunyan AM, Tumasyan A, Adam W, Bergauer T, Dragicevic M, Erö J, Valle AED, Frühwirth R, Jeitler M, Krammer N, Lechner L, Liko D, Madlener T, Mikulecc I, Pitters FM, Rad N, Schieck J, Schöfbeck R, Spanring M, Templ S, Waltenberger W, Wulz CE, Zarucki M, Chekhovsky V, Litomin A, Makarenko V, Darwish MR, De Wolf EA, Croce DD, Janssen X, Kello T, Lelek A, Pieters M, Sfar HR, Van Haevermaet H, Van Mechelen P, Van Putte S, Van Remortel N, Blekman F, Bols ES, Chhibra SS, D’Hondt J, De Clercq J, Lontkovskyi D, Lowette S, Marchesini I, Moortgat S, Morton A, Python Q, Tavernier S, Van Doninck W, Van Mulders P, Beghin D, Bilin B, Clerbaux B, De Lentdecker G, Dorney B, Favart L, Grebenyuk A, Kalsi AK, Makarenko I, Moureaux L, Pétré L, Popov A, Postiau N, Starling E, Thomas L, Vander Velde C, Vanlaer P, Vannerom D, Wezenbeek L, Cornelis T, Dobur D, Gruchala M, Khvastunov I, Niedziela M, Roskas C, Skovpen K, Tytgat M, Verbeke W, Vermassen B, Vit M, Bruno G, Bury F, Caputo C, David P, Delaere C, Delcourt M, Donertas IS, Giammanco A, Lemaitre V, Mondal K, Prisciandaro J, Taliercio A, Teklishyn M, Vischia P, Wertz S, Wuyckens S, Zobec J, Alves GA, Hensel C, Moraes A, Júnior WLA, Chagas EBBD, Malbouisson HB, Carvalho W, Chinellato J, Coelho E, Da Costa EM, Da Silveira GG, De Jesus Damiao D, De Souza SF, Martins J, Figueiredo DM, Jaime MM, Herrera CM, Mundim L, Nogima H, Teles PR, Rosas LJS, Santoro A, Amaral SMSD, Sznajder A, Thiel M, Da Silva De Araujo FT, Pereira AV, Bernardes CA, Calligaris L, Tomei TRFP, Gregores EM, Lemos DS, Mercadante PG, Novaes SF, Padula SS, Aleksandrov A, Antchev G, Atanasov I, Hadjiiska R, Iaydjiev P, Misheva M, Rodozov M, Shopova M, Sultanov G, Bonchev M, Dimitrov A, Ivanov T, Litov L, Pavlov B, Petkov P, Petrov A, Fang W, Guo Q, Wang H, Yuan L, Ahmad M, Hu Z, Wang Y, Chapon E, Chen GM, Chen HS, Chen M, Javaid T, Kapoor A, Leggat D, Liao H, Liu Z, Sharma R, Spiezia A, Tao J, Thomas-Wilsker J, Wang J, Zhang H, Zhang S, Zhao J, Agapitos A, Ban Y, Chen C, Huang Q, Levin A, Li Q, Lu M, Lyu X, Mao Y, Qian SJ, Wang D, Wang Q, Xiao J, You Z, Gao X, Xiao M, Avila C, Cabrera A, Florez C, Fraga J, Sarkar A, Delgado MAS, Jaramillo J, Guisao JM, Ramirez F, Alvarez JDR, González CAS, Arbelaez NV, Giljanovic D, Godinovic N, Lelas D, Puljak I, Sculac T, Antunovic Z, Kovac M, Brigljevic V, Ferencek D, Majumder D, Roguljic M, Starodumov A, Susa T, Ather MW, Attikis A, Erodotou E, Ioannou A, Kole G, Kolosova M, Konstantinou S, Mavromanolakis G, Mousa J, Nicolaou C, Ptochos F, Razis PA, Rykaczewski H, Saka H, Tsiakkouri D, Finger M, Finger M, Kveton A, Tomsa J, Ayala E, Jarrin EC, Abdalla H, Abdelalim AA, Elgammal S, Mahmoud MA, Mohammed Y, Bhowmik S, De Oliveira ACA, Dewanjee RK, Ehataht K, Kadastik M, Raidal M, Veelken C, Eerola P, Forthomme L, Kirschenmann H, Osterberg K, Voutilainen M, Brücken E, Garcia F, Havukainen J, Karimäki V, Kim MS, Kinnunen R, Lampén T, Lassila-Perini K, Lehti S, Lindén T, Siikonen H, Tuominen E, Tuominiemi J, Luukka P, Tuuva T, Amendola C, Besancon M, Couderc F, Dejardin M, Denegri D, Faure JL, Ferri F, Ganjour S, Givernaud A, Gras P, de Monchenault GH, Jarry P, Lenzi B, Locci E, Malcles J, Rander J, Rosowsky A, Sahin MÖ, Savoy-Navarro A, Titov M, Yu GB, Ahuja S, Beaudette F, Bonanomi M, Perraguin AB, Busson P, Charlot C, Davignon O, Diab B, Falmagne G, de Cassagnac RG, Hakimi A, Kucher I, Lobanov A, Perez CM, Nguyen M, Ochando C, Paganini P, Rembser J, Salerno R, Sauvan JB, Sirois Y, Zabi A, Zghiche A, Agram JL, Andrea J, Bloch D, Bourgatte G, Brom JM, Chabert EC, Collard C, Fontaine JC, Gelé D, Goerlach U, Grimault C, Le Bihan AC, Van Hove P, Asilar E, Beauceron S, Bernet C, Boudoul G, Camen C, Carle A, Chanon N, Contardo D, Depasse P, Mamouni HE, Fay J, Gascon S, Gouzevitch M, Ille B, Jain S, Laktineh IB, Lattaud H, Lesauvage A, Lethuillier M, Mirabito L, Torterotot L, Touquet G, Vander Donckt M, Viret S, Adamov G, Tsamalaidze Z, Feld L, Klein K, Lipinski M, Meuser D, Pauls A, Preuten M, Rauch MP, 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Mueller R, Overton D, Perniè L, Rathjens D, Safonov A, Akchurin N, Damgov J, Hegde V, Kunori S, Lamichhane K, Lee SW, Mengke T, Muthumuni S, Peltola T, Undleeb S, Volobouev I, Wang Z, Whitbeck A, Appelt E, Greene S, Gurrola A, Janjam R, Johns W, Maguire C, Melo A, Ni H, Padeken K, Romeo F, Sheldon P, Tuo S, Velkovska J, Verweij M, Arenton MW, Cox B, Cummings G, Hakala J, Hirosky R, Joyce M, Ledovskoy A, Li A, Neu C, Tannenwald B, Wang Y, Wolfe E, Xia F, Karchin PE, Poudyal N, Thapa P, Black K, Bose T, Buchanan J, Caillol C, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Hervé A, Hussain U, Lanaro A, Loeliger A, Loveless R, Sreekala JM, Mallampalli A, Pinna D, Ruggles T, Savin A, Shang V, Sharma V, Smith WH, Steggemann J, Teague D, Trembath-Reichert S, Vetens W. Measurements of angular distance and momentum ratio distributions in three-jet and Z + two-jet final states in pp collisions. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2021; 81:852. [PMID: 34727147 PMCID: PMC8550692 DOI: 10.1140/epjc/s10052-021-09570-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 08/24/2021] [Indexed: 06/13/2023]
Abstract
Collinear (small-angle) and large-angle, as well as soft and hard radiations are investigated in three-jet and Z + two-jet events collected in proton-proton collisions at the LHC. The normalized production cross sections are measured as a function of the ratio of transverse momenta of two jets and their angular separation. The measurements in the three-jet and Z + two-jet events are based on data collected at a center-of-mass energy of 8 TeV , corresponding to an integrated luminosity of 19.8 fb - 1 . The Z + two-jet events are reconstructed in the dimuon decay channel of the Z boson. The three-jet measurement is extended to include s = 13 TeV data corresponding to an integrated luminosity of 2.3 fb - 1 . The results are compared to predictions from event generators that include parton showers, multiple parton interactions, and hadronization. The collinear and soft regions are in general well described by parton showers, whereas the regions of large angular separation are often best described by calculations using higher-order matrix elements.
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Grants
- Austrian Federal Ministry of Education, Science and Research
- Austrian Science Fund
- Belgian Fonds de la Recherche Scientifique
- Belgian Fonds voor Wetenschappelijk Onderzoek
- CNPq
- CAPES
- FAPERJ
- FAPERGS
- FAPESP
- Bulgarian Ministry of Education and Science
- 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 Technology
- National Research, Development and Innovation Fund
- 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 Science and Higher Education
- National Science Centre
- Fundação para a Ciência e a Tecnologia
- JINR, Dubna
- Ministry of Education and Science of the Russian Federation
- Federal Agency of Atomic Energy of the Russian Federation
- Russian Academy of Sciences
- Russian Foundation for Basic Research
- National Research Center “Kurchatov Institute”
- Ministry of Education, Science and Technological Development of Serbia
- Secretaría de Estado de Investigación, Desarrollo e Innovación
- Programa Consolider-Ingenio 2010
- Plan de Ciencia, Tecnología e Innovación 2017-2020 del Principado de Asturias, research project IDI-2018-000174
- Fondo Europeo de Desarrollo Regional, Spain
- MOSTR
- ETH Board
- ETH Zurich
- PSI
- SNF
- UniZH
- Canton Zurich
- SER
- Ministry of Science and Technology
- 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)
- Horizon 2020 Grant, contract Nos. 675440, 724704, 752730, 765710, and 824093 (European Union)
- Leventis Foundation
- Alfred P. Sloan Foundation
- Alexander von Humboldt Foundation
- Belgian Federal Science Policy Office
- Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium)
- Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium)
- Belgian Fonds de la Recherche Scientifique, “Excellence of Science - EOS” - be.h project n. 30820817
- Belgian Fonds voor Wetenschappelijk Onderzoek, “Excellence of Science - EOS” - be.h project n. 30820817
- Beijing Municipal Science & Technology Commission, No. Z191100007219010
- Ministry of Education, Youth and Sports (MEYS) of the Czech Republic
- Deutsche Forschungsgemeinschaft (DFG) under Germany’s Excellence Strategy - EXC 2121 “Quantum Universe” – 390833306
- Deutsche Forschungsgemeinschaft (DFG), project number 400140256 - GRK2497
- Lendúlet (“Momentum”) Programme and the János Bolyai Research Scholarship of the Hungarian Academy of Sciences
- New National Excellence Program ÚNKP, the NKFIA research grants 123842, 123959, 124845, 124850, 125105, 128713, 128786, and 129058
- Council of Scientific and Industrial Research, India
- National Science Center, Opus 2014/15/B/ST2/03998 and 2015/19/B/ST2/02861
- National Priorities Research Program by Qatar National Research Fund
- Ministry of Science and Higher Education, project no. 0723-2020-0041
- Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2015-0509
- Programa Severo Ochoa del Principado de Asturias
- Thalis and Aristeia programmes cofinanced by EU-ESF and the Greek NSRF
- 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, Wien
- Inter University Institute For High Energies, Brussel
- 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
- 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
- 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
- Laboratori Nazionali di Legnaro, Legnaro
- Kyungpook National University, Daegu
- National Centre for Physics, Quaid-I-Azam University, Islamabad
- National Centre for Nuclear Research, Swierk
- Laboratório de Instrumentação e Física Experimental de Partículas, Lisboa
- Institute for High Energy Physics of National Research Centre ‘Kurchatov Institute’, Protvino
- Institute for Nuclear Research (INR) of the Russian Academy of Sciences, Troitsk
- Institute for Theoretical and Experimental Physics named by A.I. Alikhanov of NRC ’Kurchatov Institute’, Moscow
- Joint Institute for Nuclear Research, Dubna
- Korea Institute of Science and Technology Information (KISTI), Daejeon
- Centro de Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT), Madrid
- Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander
- Port d’Informació Científica, Bellaterra
- CERN, European Organization for Nuclear Research, Geneva
- CSCS - Swiss National Supercomputing Centre, Lugano
- National Center for High-performance Computing (NCHC), Tainan 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
- 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
- Pittsburgh Supercomputing Center (PSC), Pittsburgh
- Purdue University, West Lafayette
- San Diego Supercomputer Center (SDSC), La Jolla
- Texas Advanced Computing Center (TACC), Austin
- University of California, San Diego, La Jolla
- University of Colorado Boulder, Boulder
- University of Florida, Gainesville
- University of Nebraska-Lincoln, Lincoln
- University of Wisconsin - Madison, Madison
- Vanderbilt University, Nashville
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