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The production of isolated photons in PbPb and pp collisions at root s(NN)=5.02 TeV
Gokbulut, Gul/0000-0002-0175-6454; Bagliesi, Giuseppe/0000-0003-4298-1620; Demiroglu, Zuhal Seyma/0000-0001-7977-7127; Loukas, Dimitris/0000-0002-7431-3857; De La Cruz, Ivan Heredia/0000-0002-8133-6467; TOPAKSU, Aysel KAYIS/0000-0001-5819-6913; Malawski, Maciej/0000-0001-6005-0243; Ligabue, Franco/0000-0002-1549-7107; Arneodo, Michele/0000-0002-7790-7132; Chadeeva, Marina/0000-0003-1814-1218; Goh, Junghwan/0000-0002-1129-2083; Iglesias, Maria Cruz Fouz/0000-0003-2950-976X; Duarte, Javier/0000-0002-5076-7096; Di Florio, Adriano/0000-0003-3719-8041; Demiroglu, Zuhal Seyma/0000-0001-7977-7127; Lezki, Samet/0000-0002-6909-774X; Gonzalez, Barbara Alvarez/0000-0001-7767-4810; Ricca, Giuseppe Della/0000-0003-2831-6982; Cortezon, Jose Enrique Palencia/0000-0001-8264-0287; Boimska, Bozena/0000-0002-4200-1541; Bortignon, Pierluigi/0000-0002-5360-1454; Battilana, Carlo/0000-0002-3753-3068; Terkulov, Adel/0000-0003-4985-3226; Lopez, Oscar Gonzalez/0000-0002-4532-6464; de Souza Sandro, Fonseca/0000-0001-7830-0837; 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Shah, Aashaq/0000-0002-6157-2016; Amendola, Chiara/0000-0002-4359-836X; Shopova, Mariana/0000-0001-6664-2493; Heath, Helen/0000-0001-6576-9740; Gozzelino, Andrea/0000-0002-6284-1126; Staiano, Amedeo/0000-0003-1803-624X; FORD, WILLIAM/0000-0001-8703-6943; Sharma, Varun/0000-0003-1287-1471; Roskes, Jeffrey/0000-0001-8761-0490; Wilson, Graham/0000-0003-0917-4763; Heindl, Maximilian/0000-0002-2831-463X; Consuegra Rodriguez, Sandra/0000-0002-1383-1837; Van Onsem, Gerrit/0000-0002-1664-2337; Spagnolo, Paolo/0000-0001-7962-5203; Botta, Cristina/0000-0002-8072-795X; Belyaev, Alexander/0000-0002-1733-4408; Redondo, Ignacio/0000-0003-3737-4121; Benitez, Jose Feliciano/0000-0002-2633-6712; Zhang, Zhicai/0000-0002-1630-0986; Ecklund, Karl/0000-0002-6976-4637; Presilla, Matteo/0000-0003-2808-7315; Felcini, Marta/0000-0002-2051-9331; Taylor, Lucas/0000-0002-6584-2538; Conway, John/0000-0003-2719-5779; Moon, Chang-Seong/0000-0001-8229-7829; Shchutska, Lesya/0000-0003-0700-5448; Dharmaraatna, Welathantri/0000-0002-6366-837X; Piperov, Stefan/0000-0002-9266-7819; Viliani, Lorenzo/0000-0002-1909-6343; Tavolaro, Vittorio Raoul/0000-0003-2518-7521; Ruiz, Jose/0000-0002-3306-0363; Barnyakov, Alexander/0000-0002-8556-6622; OZOK, FERHAT/0000-0001-9630-7362; Ebrahimi, Aliakbar/0000-0003-4472-867X; Mousa, Jehad/0000-0002-2978-2718; Androsov, Konstantin/0000-0003-2694-6542; Fiorina, Davide/0000-0002-7104-257X; Tinoco Mendes, Andre David/0000-0001-5854-7699; Govoni, Pietro/0000-0002-0227-1301; Tapper, Alexander/0000-0003-4543-864X; Feld, Lutz/0000-0001-9813-8646; Leonardo, Nuno/0000-0002-9746-4594; d'Enterria, David/0000-0002-5754-4303; Vartak, Adish/0000-0003-1507-1365; Bodek, Arie/0000-0003-0409-0341; Waltenberger, Wolfgang/0000-0002-6215-7228; Kreczko, Luke/0000-0003-2341-8330; Bloom, Kenneth/0000-0002-4272-8900; Kim, Tae Jeong/0000-0001-8336-2434; Ince Lezki, Merve/0000-0001-6907-0195; Mitselmakher, Guenakh/0000-0001-5745-3658; Delaere, Christophe/0000-0001-8707-6021; Carrillo Montoya, Camilo/0000-0002-6245-6535; Goldstein, Joel/0000-0003-1591-6014; Hurtado Anampa, Kenyi/0000-0002-9779-3566; Zuolo, Davide/0000-0003-3072-1020; Cadamuro, Luca/0000-0001-8789-610X; Grohsjean, Alexander/0000-0003-0748-8494; Tosi, Silvano/0000-0002-7275-9193; Garutti, Erika/0000-0003-0634-5539; Klein, Daniel/0000-0001-9143-5162; Landsberg, Greg/0000-0002-4184-9380; Faccioli, Pietro/0000-0003-1849-6692; Haller, Johannes/0000-0001-9347-7657; lee, jason/0000-0002-2153-1519; Krolikowski, Jan/0000-0002-3055-0236; Abbiendi, Giovanni/0000-0003-4499-7562; Gerosa, Raffaele/0000-0001-8359-3734; Gutsche, Oliver/0000-0002-8015-9622; Mora Herrera, Maria Clemencia/0000-0003-3915-3170; Li, Qiang/0000-0002-8290-0517; Sharma, Ram Krishna/0000-0003-1181-1426; Rizzi, Andrea/0000-0002-4543-2718; Ricci-Tam, Francesca/0000-0001-9750-7702; Raidal, Martti/0000-0001-7040-9491; Levchuk, Leonid/0000-0001-5889-7410; Snoeys, Walter/0000-0003-3541-9066; Galli Mercadante, Pedro/0000-0001-8333-4302; Pfeiffer, Andreas/0000-0001-5328-448X; Pieri, Marco/0000-0003-3303-6301; Palladino, Vito/0000-0002-9786-9620; Verweij, Marta/0000-0002-1504-3420; Lucchini, Marco Toliman/0000-0002-7497-7450; Ptochos, Fotios/0000-0002-3432-3452; Myronenko, Volodymyr/0000-0002-3984-4732; Tosi, Nicolo/0000-0002-0474-0247; Vilela Pereira, Antonio/0000-0003-3177-4626; Arcidiacono, Roberta/0000-0001-5904-142X; Canelli, Florencia/0000-0001-6361-2117; Saka, Halil/0000-0001-7616-2573; Bachiller, IreneBachiller/0000-0002-3721-4876; Petrucciani, Giovanni/0000-0003-0889-4726; Malik, Sudhir/0000-0002-6356-2655; Kratschmer, Ilse/0000-0002-5636-9259; Martinez Ruiz del Arbol, Pablo/0000-0002-7737-5121; David, Pieter/0000-0001-9260-9371; Salvatico, Riccardo/0000-0002-2751-0567; Brigljevic, Vuko/0000-0001-5847-0062; Fiorendi, Sara/0000-0003-3273-9419; Pantaleo, Felice/0000-0003-3266-4357; Mnich, Joachim/0000-0001-7242-8426; Sculac, Toni/0000-0002-9578-4105; Garcia, Francisco/0000-0002-4023-7964; Bhandari, Rohan/0000-0001-5888-955X; Cepeda, Maria/0000-0002-6076-4083; Fernandez Bedoya, Cristina/0000-0001-8057-9152; Lange, Clemens/0000-0002-3632-3157; Pastrone, Nadia/0000-0001-7291-1979; Schwandt, Joern/0000-0002-0052-597X; Costa, Salvatore/0000-0001-9919-0569; Krikler, Benjamin/0000-0001-9712-0030; Tully, Christopher/0000-0001-6771-2174; Marzocchi, Badder/0000-0001-6687-6214; Krintiras, Georgios Konstantinos/0000-0002-0380-7577; Nguyen, Thong Q./0000-0003-3954-5131; Grandi, Claudio/0000-0001-5998-3070; Sosa Ricardo, Rafael Eduardo/0000-0002-2240-6699; Kole, Gouranga/0000-0002-3285-1497; Klanner, Robert/0000-0002-7004-9227; Mundim, Luiz/0000-0001-9964-7805; Alves, Gilvan/0000-0002-8369-1446; Ulrich, Ralf/0000-0002-2535-402X; Dominguez, Aaron/0000-0002-7420-5493; Sanchez Navas, Sergio/0000-0001-6129-9059; Kalinowski, Artur/0000-0002-1280-5493; Ghosh, Saranya/0000-0001-6717-0803; Vischia, Pietro/0000-0002-7088-8557; Wu, Zhenbin/0000-0003-2165-9501; Cassese, Antonio/0000-0003-3010-4516; Manca, Elisabetta/0000-0001-8946-655X; Shevchenko, Rostyslav/0000-0002-3236-4090; Schonenberger, Myriam/0000-0002-6508-5776; Bernardes, Cesar Augusto/0000-0001-5790-9563; Kothekar, Kunal/0000-0001-5102-4326; Popov, Andrey/0000-0002-1207-0984; Reis, Thomas/0000-0003-3703-6624; Hamel de Monchenault, Gautier/0000-0002-3872-3592; Blumenfeld, Barry/0000-0003-1150-1735; Buchanan, James/0000-0001-8207-5556; Fernandez Perez Tomei, Thiago Rafael/0000-0002-1809-5226; Wang, Dayong/0000-0002-9013-1199; Azzi, Patrizia/0000-0002-3129-828X; Migliore, Ernesto/0000-0002-2271-5192The transverse energy (ET gamma) spectra of photons isolated from other particles are measured using proton-proton (pp) and lead-lead (PbPb) collisions at the LHC at root s(NN) = 5.02 TeV with integrated luminosities of 27.4 pb(-1) and 404 mu b(-1) for pp and PbPb data, respectively. The results are presented for photons with 25 < E-T(gamma)< 200 GeV in the pseudorapidity range vertical bar eta vertical bar < 1.44, and for different centrality intervals for PbPb collisions. Photon production in PbPb collisions is consistent with that in pp collisions scaled by the number of binary nucleon-nucleon collisions, demonstrating that photons do not interact with the quark-gluon plasma. Therefore, isolated photons can provide information about the initial energy of the associated parton in photon+jet measurements. The results are compared with predictions from the next-to-leading-order jetphox generator for different parton distribution functions (PDFs) and nuclear PDFs (nPDFs). The comparisons can help to constrain the nPDFs global fits.BMBWF (Austria); FWF (Austria)Austrian Science Fund (FWF); FNRS (Belgium)Fonds de la Recherche Scientifique - FNRS; FWO (Belgium)FWO; CNPq (Brazil)National Council for Scientific and Technological Development (CNPq); CAPES (Brazil)CAPES; FAPERJ (Brazil)Carlos Chagas Filho Foundation for Research Support of the State of Rio de Janeiro (FAPERJ); FAPERGS (Brazil)Foundation for Research Support of the State of Rio Grande do Sul (FAPERGS); FAPESP (Brazil)Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP); MES (Bulgaria); CERN; CAS (China)Chinese Academy of Sciences; MoST (China)Ministry of Science and Technology, China; NSFC (China)National Natural Science Foundation of China (NSFC); COLCIENCIAS (Colombia)Departamento Administrativo de Ciencia, Tecnologia e Innovacion Colciencias; MSES (Croatia); CSF (Croatia); RPF (Cyprus); SENESCYT (Ecuador); MoER (Estonia); ERC IUT (Estonia)Estonian Research Council; PUT (Estonia); ERDF (Estonia)European Union (EU); Academy of Finland (Finland)Academy of Finland; MEC (Finland); HIP (Finland); CEA (France)French Atomic Energy Commission; CNRS/IN2P3 (France)Centre National de la Recherche Scientifique (CNRS); BMBF (Germany)Federal Ministry of Education & Research (BMBF); DFG (Germany)German Research Foundation (DFG); HGF (Germany); GSRT (Greece)Greek Ministry of Development-GSRT; NKFIA (Hungary); DAE (India)Department of Atomic Energy (DAE); DST (India)Department of Science & Technology (India); IPM (Iran); SFI (Ireland)Science Foundation Ireland; INFN (Italy)Istituto Nazionale di Fisica Nucleare (INFN); MSIP (Republic of Korea); NRF (Republic of Korea); MES (Latvia); LAS (Lithuania); MOE (Malaysia); UM (Malaysia); BUAP (Mexico); CINVESTAV (Mexico); CONACYT (Mexico)Consejo Nacional de Ciencia y Tecnologia (CONACyT); LNS (Mexico); SEP (Mexico); UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MSHE (Poland); NSC (Poland); FCT (Portugal)Portuguese Foundation for Science and Technology; JINR (Dubna); MON (Russia); RosAtom (Russia); RAS (Russia)Russian Academy of Sciences; RFBR (Russia)Russian Foundation for Basic Research (RFBR); NRC KI (Russia); MESTD (Serbia); SEIDI (Spain); CPAN (Spain); PCTI (Spain); FEDER (Spain)European Union (EU); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); ThEPCenter (Thailand); IPST (Thailand); STAR (Thailand); NSTDA (Thailand); TUBITAK (Turkey)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK); TAEK (Turkey)Ministry of Energy & Natural Resources - Turkey; NASU (Ukraine); STFC (United Kingdom)Science & Technology Facilities Council (STFC); DOE (U.S.A.)United States Department of Energy (DOE); NSF (U.S.A.)National Science Foundation (NSF); Marie-Curie programme (European Union)European Union (EU); European Research Council (European Union)European Union (EU)European Research Council (ERC) [675440, 752730, 765710]; Horizon 2020 Grant (European Union)European Union (EU) [675440, 752730, 765710]; Leventis Foundation; A.P. Sloan FoundationAlfred P. Sloan Foundation; Alexander von Humboldt FoundationAlexander von Humboldt Foundation; Belgian Federal Science Policy OfficeBelgian Federal Science Policy Office; Fonds pour la Formation ~a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-Belgium)Fonds de la Recherche Scientifique - FNRS; Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium)Institute for the Promotion of Innovation by Science and Technology in Flanders (IWT); F.R.S.-FNRS (Belgium) under the "Excellence of Science {EOS"Fonds de la Recherche Scientifique - FNRS [30820817]; FWO (Belgium) under the "Excellence of Science {EOS"FWO [30820817]; Beijing Municipal Science & Technology CommissionBeijing Municipal Science & Technology Commission [Z191100007219010]; Ministry of Education, Youth and Sports (MEYS) of the Czech RepublicMinistry of Education, Youth & Sports - Czech Republic; Deutsche Forschungsgemeinschaft (DFG)German Research Foundation (DFG) [EXC 2121, 390833306]; Lendulet (\Momentum") Programme of the Hungarian Academy of Sciences; Janos Bolyai Research Scholarship of the Hungarian Academy of SciencesHungarian Academy of Sciences; New National Excellence Program ~ UNKP; NKFIA research grants (Hungary) [123842, 123959, 124845, 124850, 125105, 128713, 128786, 129058]; Council of Science and Industrial Research, IndiaCouncil of Scientific & Industrial Research (CSIR) - India; HOMING PLUS programme of the Foundation for Polish Science; European Union, Regional Development FundEuropean Union (EU); Mobility Plus programme of the Ministry of Science and Higher Education; National Science Center (Poland)National Science Centre, PolandNational Science Center, Poland [Harmonia 2014/14/M/ST2/00428, Opus 2014/13/B/ST2/02543, 2014/15/B/ST2/03998, 2015/19/B/ST2/02861, Sonata-bis 2012/07/E/ST2/01406]; National Priorities Research Program by Qatar National Research Fund; Ministry of Science and Education (Russia) [14.W03.31.0026]; Tomsk Polytechnic University Competitiveness Enhancement Program (Russia); "Nauka" Project (Russia) [FSWW-2020-0008]; Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia Maria de Maeztu [MDM-2015-0509]; Programa Severo Ochoa del Principado de Asturias; Thalis programme - EU-ESF; Aristeia programme - EU-ESF; Greek NSRFGreek Ministry of Development-GSRT; Rachadapisek Sompot Fund for Postdoctoral Fellowship (Thailand); Chulalongkorn University (Thailand)Chulalongkorn University; Chulalongkorn Academic into Its 2nd Century Project Advancement Project (Thailand); Kavli Foundation; Nvidia Corporation; SuperMicro Corporation; Welch FoundationThe Welch Foundation [C-1845]; Weston Havens Foundation (U.S.A.)We congratulate our colleagues in the CERN accelerator departments for the excellent performance of the LHC and thank the technical and administrative staffs at CERN and at other CMS institutes for their contributions to the success of the CMS effort. In addition, we gratefully acknowledge the computing centres and personnel of the Worldwide LHC Computing Grid for delivering so effectively the computing infrastructure essential to our analyses. Finally, we acknowledge the enduring support for the construction and operation of the LHC and the CMS detector provided by the following funding agencies: BMBWF and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, FAPERGS, and FAPESP (Brazil); MES (Bulgaria); CERN; CAS, MoST, and NSFC (China); COLCIENCIAS (Colombia); MSES and CSF (Croatia); RPF (Cyprus); SENESCYT (Ecuador); MoER, ERC IUT, PUT and ERDF (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); BMBF, DFG, and HGF (Germany); GSRT (Greece); NKFIA (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP and NRF (Republic of Korea); MES (Latvia); LAS (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MSHE and NSC (Poland); FCT (Portugal); JINR (Dubna); MON, RosAtom, RAS, RFBR, and NRC KI (Russia); MESTD (Serbia); SEIDI, CPAN, PCTI, and FEDER (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); ThEPCenter, IPST, STAR, and NSTDA (Thailand); TUBITAK and TAEK (Turkey); NASU (Ukraine); STFC (United Kingdom); DOE and NSF (U.S.A.). Individuals have received support from the Marie-Curie programme and the European Research Council and Horizon 2020 Grant, contract Nos. 675440, 752730, and 765710 (European Union); the Leventis Foundation; the A.P. Sloan Foundation; the Alexander von Humboldt Foundation; the Belgian Federal Science Policy Office; the Fonds pour la Formation ~a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-Belgium); the Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium); the F.R.S.-FNRS and FWO (Belgium) under the "Excellence of Science {EOS"{be.h project n. 30820817; the Beijing Municipal Science & Technology Commission, No. Z191100007219010; the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Deutsche Forschungsgemeinschaft (DFG) under Germany's Excellence Strategy {EXC 2121 \Quantum Universe" {390833306; the Lendulet (\Momentum") Programme and the Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences, the New National Excellence Program ~ UNKP, the NKFIA research grants 123842, 123959, 124845, 124850, 125105, 128713, 128786, and 129058 (Hungary); the Council of Science and Industrial Research, India; the HOMING PLUS programme of the Foundation for Polish Science, cofinanced from European Union, Regional Development Fund, the Mobility Plus programme of the Ministry of Science and Higher Education, the National Science Center (Poland), contracts Harmonia 2014/14/M/ST2/00428, Opus 2014/13/B/ST2/02543, 2014/15/B/ST2/03998, and 2015/19/B/ST2/02861, Sonata-bis 2012/07/E/ST2/01406; the National Priorities Research Program by Qatar National Research Fund; the Ministry of Science and Education, grant no. 14.W03.31.; 0026 (Russia); the Tomsk Polytechnic University Competitiveness Enhancement Program and "Nauka" Project FSWW-2020-0008 (Russia); the Progra
POLİTİK BİR EYLEM OLARAK SANAT: 1920'LERDEKİ RUS AGİT-PROP UYGULAMALARI
Emerged in the mid-19th century, the mechanical reproduction techniques changed the definitions of work of art, artist, and social role of art. These transformations have triggered an extensive sociocultural revolution during the 20th century. Art turned out to be an instrument for guiding the masses; and the communist ideology politicized aesthetics as a strategy of the power. The Russian Constructivists of the 1920s utilized agitation and propaganda techniques (agit-props) in their art for creating an aesthetic language for the political propaganda. This study argues that the Russian avantgarde aiming to bring art into everyday life and urban space became an instrument for aestheticization of politics. The scope is limited to the agit-props appropriated by the Bolshevik power. Dwelling on textual and visual documents from literature, it scrutinizes the topic with a historical interpretation research method. It aims to discuss the agit-props within the framework of politics and aesthetic revolution in everyday life and urban space.19. yüzyılın ortalarında ortaya çıkan mekanik yeniden üretim teknikleri, sanat eserinin ve sanatçının tanımları ile sanatın toplumsal rolünü dönüştürmüş; 20. Yüzyıl boyunca sürecek geniş kapsamlı bir sosyo-kültürel devrimi de tetiklemiştir. Sanat, kitleleri yönlendirme aracına dönüşmüştür ve komünist ideoloji, iktidar stratejileri bağlamında estetiği siyasallaştırmıştır. 1920’lerin Rus Konstrüktivistleri sanatlarında, yeni bir estetik dil ve siyasi propaganda oluşturmak için ajitasyon ve propaganda tekniklerini (ajit-proplar) kullanmıştır. Bu çalışma, sanatı kente ve gündelik hayata katmayı amaçlayan Rus avangardının siyasetin estetikleştirilmesinde bir araç haline geldiğini savlamaktadır. Çalışmanın kapsamı, Bolşevik iktidar eliyle oluşturulmuş ajit-proplar ile sınırlandırılmıştır. Literatürden yazılı ve görsel kaynaklara başvuran çalışma, konuyu tarihselyorumlama araştırma yöntemiyle ele almaktadır. Ajit-propları, estetik-siyaset ilişkisi, kentsel mekânda ve gündelik hayatta estetik devrim çerçevesinde tartışmayı hedeflemektedir
Search for physics beyond the standard model in events with jets and two same-sign or at least three charged leptons in proton-proton collisions at <mml:msqrt>s</mml:msqrt>=13 TeV
Gokbulut, Gul/0000-0002-0175-6454; Tcherniaev, Evgueni/0000-0002-3685-0635; Bagliesi, Giuseppe/0000-0003-4298-1620; Bortignon, Pierluigi/0000-0002-5360-1454; Fallavollita, Francesco/0000-0003-2315-2499; Guler, Y./0000-0001-7598-5252; Iglesias, Maria Cruz Fouz/0000-0003-2950-976X; Steggemann, Jan/0000-0003-4420-5510; Ivanchenko, Vladimir/0000-0002-1844-5433; De Guio, Federico/0000-0001-5927-8865; Ricca, Giuseppe Della/0000-0003-2831-6982; Duarte, Javier/0000-0002-5076-7096; Tiras, Emrah/0000-0002-5628-7464; Loukas, Dimitris/0000-0002-7431-3857; Cortezon, Jose Enrique Palencia/0000-0001-8264-0287; Andreev, Vladimir F/0000-0002-5492-6920; Bartosik, Nazar/0000-0002-7196-2237; Demiroglu, Zuhal Seyma/0000-0001-7977-7127; Polikarpov, Sergey/0000-0001-6839-928X; Calligaris, Luigi/0000-0002-9951-9448; de Souza Sandro, Fonseca/0000-0001-7830-0837; Lezki, Samet/0000-0002-6909-774X; Azarkin, Maxim/0000-0002-7448-1447; Wulz, Claudia-Elisabeth E/0000-0001-9226-5812; Ferencek, Dinko/0000-0001-9116-1202; Demiroglu, Zuhal Seyma/0000-0001-7977-7127; Cuevas-Maestro, Francisco Javier/0000-0001-5080-0821; CAKIR, Altan/0000-0002-8627-7689; Arneodo, Michele/0000-0002-7790-7132; Boimska, Bozena/0000-0002-4200-1541; Veckalns, Viesturs/0000-0003-3676-9711; Dudko, Lev/0000-0002-4462-3192; TOPAKSU, Aysel KAYIS/0000-0001-5819-6913; Goh, Junghwan/0000-0002-1129-2083; Ivanchenko, Vladimir N/0000-0002-1844-5433; Malawski, Maciej/0000-0001-6005-0243; Danilov, Mikhail/0000-0001-9227-5164; Yazgan, Efe/0000-0001-5732-7950; Blekman, Freya/0000-0002-7366-7098; Di Florio, Adriano/0000-0003-3719-8041; Stahl, Achim/0000-0002-8369-7506; Gonzalez, Barbara Alvarez/0000-0001-7767-4810; Minafra, Nicola/0000-0003-4002-1888; Terkulov, Adel/0000-0003-4985-3226; Lopez, Oscar Gonzalez/0000-0002-4532-6464; Da Silveira, Gustavo Gil/0000-0003-3514-7056; Battilana, Carlo/0000-0002-3753-3068; Meridiani, Paolo/0000-0002-8480-2259; Ligabue, Franco/0000-0002-1549-7107; Monaco, Vincenzo/0000-0002-3617-2432; Akgun, Bora/0000-0001-8888-3562; Belyaev, Alexander/0000-0002-1733-4408; Tavolaro, Vittorio Raoul/0000-0003-2518-7521; Ince Lezki, Merve/0000-0001-6907-0195; Usai, Emanuele/0000-0001-9323-2107; Tully, Christopher/0000-0001-6771-2174; Novaes, Sergio/0000-0003-0471-8549; Raidal, Martti/0000-0001-7040-9491; Backhaus, Malte/0000-0002-5888-2304; Androsov, Konstantin/0000-0003-2694-6542; Rizzi, Andrea/0000-0002-4543-2718; Heath, Helen/0000-0001-6576-9740; Vormwald, Benedikt/0000-0003-2607-7287; Krintiras, Georgios Konstantinos/0000-0002-0380-7577; Giammanco, Andrea/0000-0001-9640-8294; Dewanjee, Ram Krishna/0000-0001-6645-6244; Govoni, Pietro/0000-0002-0227-1301; Wardle, Nicholas/0000-0003-1344-3356; Taylor, Lucas/0000-0002-6584-2538; Delaere, Christophe/0000-0001-8707-6021; Garcia, Francisco/0000-0002-4023-7964; Bhowmik, Sandeep/0000-0003-1260-973X; Pastrone, Nadia/0000-0001-7291-1979; CHANG, PAO-TI/0000-0003-4064-388X; Bernardes, Cesar Augusto/0000-0001-5790-9563; Popov, Andrey/0000-0002-1207-0984; Zenz, Seth/0000-0002-9720-1794; 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Sosa Ricardo, Rafael Eduardo/0000-0002-2240-6699; Wang, Dayong/0000-0002-9013-1199; Nguyen, Thong Q./0000-0003-3954-5131; Amendola, Chiara/0000-0002-4359-836X; Dallavalle, Gaetano Marco/0000-0002-8614-0420; Joshi, Yagya/0000-0002-0651-1878; Golf, Frank/0000-0003-3567-9351; Shah, Aashaq/0000-0002-6157-2016; Botta, Cristina/0000-0002-8072-795X; Ecklund, Karl/0000-0002-6976-4637; ALCARAZ MAESTRE, JUAN/0000-0003-0914-7474; Navarro-Tobar, Alvaro/0000-0003-3606-1780; Fernandez Perez Tomei, Thiago Rafael/0000-0002-1809-5226; Goldstein, Joel/0000-0003-1591-6014; Azzi, Patrizia/0000-0002-3129-828X; Levchuk, Leonid/0000-0001-5889-7410; Schwandt, Joern/0000-0002-0052-597X; Mundim, Luiz/0000-0001-9964-7805; Feld, Lutz/0000-0001-9813-8646; Redondo, Ignacio/0000-0003-3737-4121; Mnich, Joachim/0000-0001-7242-8426; Gerosa, Raffaele/0000-0001-8359-3734; Consuegra Rodriguez, Sandra/0000-0002-1383-1837; Kim, Tae Jeong/0000-0001-8336-2434; Sznajder, Andre/0000-0001-6998-1108; Rappoccio, Salvatore/0000-0002-5449-2560; Hernandez Calama, Jose Maria/0000-0001-6436-7547; Gershtein, Yuri/0000-0002-4871-5449; FORD, WILLIAM/0000-0001-8703-6943; Robert, Schoefbeck/0000-0002-2332-8784; Sciacca, Crisostomo/0000-0002-8412-4072; Ruiz, Jose/0000-0002-3306-0363; Manca, Elisabetta/0000-0001-8946-655X; Autermann, Christian/0000-0002-0057-0033; Krikler, Benjamin/0000-0001-9712-0030; Cristella, Leonardo/0000-0002-4279-1221; Cadamuro, Luca/0000-0001-8789-610X; Jafari, Abideh/0000-0001-7327-1870; Zghiche, Amina/0000-0002-1178-1450; Goy Lopez, Silvia/0000-0001-6508-5090; YOON, INSEOK/0000-0002-3491-8026; Costa, Salvatore/0000-0001-9919-0569; Landsberg, Greg/0000-0002-4184-9380; Klanner, Robert/0000-0002-7004-9227; Ivanov, Andrew/0000-0002-9270-5643; Moon, Chang-Seong/0000-0001-8229-7829; Bloom, Kenneth/0000-0002-4272-8900; Ulrich, Ralf/0000-0002-2535-402X; Harrendorf, Marco Alexander/0000-0003-3563-9093; Grandi, Claudio/0000-0001-5998-3070; Adams, Todd/0000-0001-8049-5143; Zevi Della Porta, Giovanni/0000-0003-0495-6061; Shchutska, Lesya/0000-0003-0700-5448; Caputo, Claudio/0000-0001-7522-4808; Piperov, Stefan/0000-0002-9266-7819; Zhang, Zhicai/0000-0002-1630-0986; Trevisani, Nicolo/0000-0002-5223-9342; Ebrahimi, Aliakbar/0000-0003-4472-867X; Paulini, Manfred/0000-0002-6714-5787; Fernandez Bedoya, Cristina/0000-0001-8057-9152; Schroder, Matthias/0000-0001-8058-9828; Snoeys, Walter/0000-0003-3541-9066; Chauhan, Shubhanshu/0000-0002-6544-5794; Schonenberger, Myriam/0000-0002-6508-5776; Li, Qiang/0000-0002-8290-0517; Hamel de Monchenault, Gautier/0000-0002-3872-3592; Vischia, Pietro/0000-0002-7088-8557; Ptochos, Fotios/0000-0002-3432-3452; Grohsjean, Alexander/0000-0003-0748-8494; Vilela Pereira, Antonio/0000-0003-3177-4626; Konecki, Marcin/0000-0001-9482-4841; Dubinin, Mikhail/0000-0002-7766-7175; Viliani, Lorenzo/0000-0002-1909-6343; Mousa, Jehad/0000-0002-2978-2718; Belforte, Stefano/0000-0001-8443-4460; Gonzalez Caballero, Isidro/0000-0002-8087-3199; Garutti, Erika/0000-0003-0634-5539; Malik, Sudhir/0000-0002-6356-2655; Schulte, Jan-Frederik/0000-0003-4421-680X; Kiminsu, Ugur/0000-0001-6940-7800; Harb, Ali/0000-0001-5750-3889; Abbiendi, Giovanni/0000-0003-4499-7562; Fiorendi, Sara/0000-0003-3273-9419; Zanetti, Marco/0000-0003-4281-4582; Buchanan, James/0000-0001-8207-5556; Ghosh, Saranya/0000-0001-6717-0803; lee, jason/0000-0002-2153-1519; Krammer, Manfred/0000-0003-2257-7751; Poudyal, Nabin/0000-0003-4278-3464; Grunewald, Martin/0000-0002-5754-0388; Pieri, Marco/0000-0003-3303-6301; Ruiz Jimeno, Alberto/0000-0002-3639-0368; Lawhorn, Jay/0000-0002-8597-9259; Watson, Ian/0000-0003-2141-3413; Vartak, Adish/0000-0003-1507-1365; Murillo Quijada, Javier Alberto/0000-0003-4933-2092; Gandrajula, Reddy Pratap/0000-0001-9053-3182; Chapon, Emilien/0000-0001-6968-9828; Zorbakir, Ibrahim Soner/0000-0002-5962-2221; Heredia de la Cruz, Ivan/0000-0002-8133-6467; Bachiller, IreneBachiller/0000-0002-3721-4876; Tholen, Heiner/0000-0002-2299-2421; Sharma, Varun/0000-0003-1287-1471; Martelli, Arabella/0000-0003-3530-2255; Tosi, Nicolo/0000-0002-0474-0247; Everaerts, Pieter/0000-0003-3848-324X; Sharma, Ram Krishna/0000-0003-1181-1426; Cassese, Antonio/0000-0003-3010-4516; Gutsche, Oliver/0000-0002-8015-9622; Leonardo, Nuno/0000-0002-9746-4594; Marzocchi, Badder/0000-0001-6687-6214; Mora Herrera, Maria Clemencia/0000-0003-3915-3170; Forthomme, Laurent/0000-0002-3302-336X; Kratschmer, Ilse/0000-0002-5636-9259; Mitselmakher, Guenakh/0000-0001-5745-3658; Wu, Zhenbin/0000-0003-2165-9501; Waltenberger, Wolfgang/0000-0002-6215-7228; Pantaleo, Felice/0000-0003-3266-4357; Cepeda, Maria/0000-0002-6076-4083; Kasemann, Matthias/0000-0002-0429-2448; Csanad, Mate/0000-0002-3154-6925; Massironi, Andrea/0000-0002-0782-0883; Blumenfeld, Barry/0000-0003-1150-1735; Alverson, George/0000-0001-6651-1178; Hurtado Anampa, Kenyi/0000-0002-9779-3566; Wilson, Graham/0000-0003-0917-4763; Sagir, Sinan/0000-0002-2614-5860; Migliore, Ernesto/0000-0002-2271-5192; Sculac, Toni/0000-0002-9578-4105; Soares, Mara/0000-0001-9676-6059; Galli Mercadante, Pedro/0000-0001-8333-4302; Collard, Caroline/0000-0002-5230-8387; d'Enterria, David/0000-0002-5754-4303; Gozzelino, Andrea/0000-0002-6284-1126; Fernandez Ramos, Juan Pablo/0000-0002-0122-313X; Tonelli, Guido Emilio/0000-0003-2606-9156; Kole, Gouranga/0000-0002-3285-1497; Krolikowski, Jan/0000-0002-3055-0236; Kreczko, Luke/0000-0003-2341-8330; Bravo, Cameron/0000-0003-1102-8247; Palladino, Vito/0000-0002-9786-9620; Cavallari, Francesca/0000-0002-1061-3877; Bartok, Marton/0000-0002-4440-2701; Naimuddin, Md/0000-0003-4542-386X; Starling, Elizabeth/0000-0002-4399-7213; Vami, Tamas Almos/0000-0002-0959-9211; Brigljevic, Vuko/0000-0001-5847-0062; Lange, Johannes/0000-0001-7513-6330; Giacomelli, Paolo/0000-0002-6368-7220; Lethuillier, Morgan/0000-0001-6185-2045; Mrenna, Stephen/0000-0001-8731-160X; Sanchez-Hernandez, Alberto/0000-0001-9548-0358; Zuolo, Davide/0000-0003-3072-1020; Felcini, Marta/0000-0002-2051-9331; Rossi, Biagio/0000-0002-0807-8772; Vidal Marono, Miguel/0000-0002-2590-5987; Ricci-Tam, Francesca/0000-0001-9750-7702; Bhandari, Rohan/0000-0001-5888-955X; Benitez, Jose Feliciano/0000-0002-2633-6712; Dragicevic, Marko/0000-0003-1967-6783; Benato, Lisa/0000-0001-5135-7489; Moraes, Arthur/0000-0002-5157-5686; Heikkila, Jaana/0000-0002-0538-1469; Haller, Johannes/0000-0001-9347-7657; Litov, Leandar/0000-0002-8511-6883; Padula, Sandra S./0000-0003-3071-0559; Canelli, Florencia/0000-0001-6361-2117; Spagnolo, Paolo/0000-0001-7962-5203; Dharmaraatna, Welathantri/0000-0002-6366-837X; Haddad, Yacine/0000-0003-4916-7752; Tinoco Mendes, Andre David/0000-0001-5854-7699; Martinez Ruiz del Arbol, Pablo/0000-0002-7737-5121; Khvedelidze, Arsen/0000-0002-5953-0140; Zucchetta, Alberto/0000-0003-0380-1172; Frankenthal, Andre/0000-0002-2583-5982; Beaudette, Florian/0000-0002-1194-8556; Belloni, Alberto/0000-0002-1727-656X; Saka, Halil/0000-0001-7616-2573; Alves, Gilvan/0000-0002-8369-1446; Myronenko, Volodymyr/0000-0002-3984-4732; Tapper, Alexander/0000-0003-4543-864XPubMed: 32852485A data sample of events from proton-proton collisions with at least two jets, and two isolated same-sign or three or more charged leptons, is studied in a search for signatures of new physics phenomena. The data correspond to an integrated luminosity of 137 fb-1 at a center-of-mass energy of 13 TeV, collected in 2016-2018 by the CMS experiment at the LHC. The search is performed using a total of 168 signal regions defined using several kinematic variables. The properties of the events are found to be consistent with the expectations from standard model processes. Exclusion limits at 95% confidence level are set on cross sections for the pair production of gluinos or squarks for various decay scenarios in the context of supersymmetric models conserving or violating R parity. The observed lower mass limits are as large as 2.1 TeV for gluinos and 0.9 TeV for top and bottom squarks. To facilitate reinterpretations, model-independent limits are provided in a set of simplified signal regions.BMBWF (Austria); FWF (Austria)Austrian Science Fund (FWF); FNRS (Belgium)Fonds de la Recherche Scientifique - FNRS; FWO (Belgium)FWO; CNPq (Brazil)National Council for Scientific and Technological Development (CNPq); CAPES (Brazil)CAPES; FAPERJ (Brazil)Carlos Chagas Filho Foundation for Research Support of the State of Rio de Janeiro (FAPERJ); FAPERGS (Brazil)Foundation for Research Support of the State of Rio Grande do Sul (FAPERGS); FAPESP (Brazil)Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP); MES (Bulgaria); CERN; CAS (China)Chinese Academy of Sciences; MoST (China)Ministry of Science and Technology, China; NSFC (China)National Natural Science Foundation of China (NSFC); COLCIENCIAS (Colombia)Departamento Administrativo de Ciencia, Tecnologia e Innovacion Colciencias; MSES (Croatia); CSF (Croatia); RPF (Cyprus); SENESCYT (Ecuador); MoER (Estonia); ERC IUT (Estonia)Estonian Research Council; PUT (Estonia); ERDF (Estonia)European Union (EU); Academy of Finland (Finland)Academy of Finland; MEC (Finland); HIP (Finland); CEA (France)French Atomic Energy Commission; CNRS/IN2P3 (France)Centre National de la Recherche Scientifique (CNRS); BMBF (Germany)Federal Ministry of Education & Research (BMBF); DFG (Germany)German Research Foundation (DFG); HGF (Germany); GSRT (Greece)Greek Ministry of Development-GSRT; NKFIA (Hungary); DAE (India)Department of Atomic Energy (DAE); DST (India)Department of Science & Technology (India); IPM (Iran); SFI (Ireland)Science Foundation Ireland; INFN (Italy)Istituto Nazionale di Fisica Nucleare (INFN); MSIP (Republic of Korea); NRF (Republic of Korea); MES (Latvia); LAS (Lithuania); MOE (Malaysia); UM (Malaysia); BUAP (Mexico); CINVESTAV (Mexico); CONACYT (Mexico)Consejo Nacional de Ciencia y Tecnologia (CONACyT); LNS (Mexico); SEP (Mexico); UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MSHE (Poland); NSC (Poland); FCT (Portugal)Portuguese Foundation for Science and Technology; JINR (Dubna); MON (Russia); RosAtom (Russia); RAS (Russia)Russian Academy of Sciences; RFBR (Russia)Russian Foundation for Basic Research (RFBR); NRC KI (Russia); MESTD (Serbia); SEIDI (Spain); CPAN (Spain); PCTI (Spain); FEDER (Spain)European Union (EU); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); ThEPCenter (Thailand); IPST (Thailand); STAR (Thailand); NSTDA (Thailand); TUBITAK (Turkey)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK); TAEK (Turkey)Ministry of Energy & Natural Resources - Turkey; NASU (Ukraine); STFC (United Kingdom)Science & Technology Facilities Council (STFC); DOE (USA)United States Department of Energy (DOE); NSF (USA)National Science Foundation (NSF); MarieCurie program (European Union)European Union (EU); European Research Council (European Union)European Union (EU)European Research Council (ERC); Horizon 2020 Grant (European Union)European Union (EU) [675440, 752730, 765710]; Leventis Foundation; A.P. Sloan FoundationAlfred P. Sloan Foundation; Alexander von Humboldt FoundationAlexander von Humboldt Foundation; Belgian Federal Science Policy OfficeBelgian Federal Science Policy Office; Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA -Belgium)Fonds de la Recherche Scientifique - FNRS; Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium)Institute for the Promotion of Innovation by Science and Technology in Flanders (IWT); F.R.S.-FNRS (Belgium)Fonds de la Recherche Scientifique - FNRS [30820817]; FWO (Belgium)FWO [30820817]; Beijing Municipal Science & Technology CommissionBeijing Municipal Science & Technology Commission [Z191100007219010]; Ministry of Education, Youth and Sports (MEYS) of the Czech RepublicMinistry of Education, Youth & Sports - Czech Republic; Deutsche Forschungsgemeinschaft (DFG) under Germany's Excellence StrategyGerman Research Foundation (DFG) [EXC 2121 "Quantum Universe" - 390833306]; Lendulet ("Momentum") Program (Hungary); Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences (Hungary); New National Excellence Program UNKP (Hungary); NKFIA research grants (Hungary) [123842, 123959, 124845, 124850, 125105, 128713, 128786, 129058]; Council of Science and Industrial Research, IndiaCouncil of Scientific & Industrial Research (CSIR) - India; HOMING PLUS program of the Foundation for Polish Science, from European Union; Regional Development Fund (Poland); Mobility Plus program of the Ministry of Science and Higher Education (Poland); National Science Center (Poland)National Science Centre, PolandNational Science Center, Poland [Harmonia 2014/14/M/ST2/00428, Opus 2014/13/B/ST2/02543, 2014/15/B/ST2/03998, 2015/19/B/ST2/02861, Sonata-bis 2012/07/E/ST2/01406]; National Priorities Research Program by Qatar National Research Fund; Ministry of Science and Education (Russia) [14.W03.31.0026]; Programa Estatal de Fomento de la Investigacion Cientifica yTecnica deExcelenciaMaria de Maeztu [MDM-2015-0509]; Programa Severo Ochoa del Principado de Asturias; Thalis program - EU-ESF; Aristeia program - EU-ESF; Greek NSRFGreek Ministry of Development-GSRT; Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University; Chulalongkorn Academic into Its 2nd Century Project Advancement Project (Thailand); Kavli Foundation; Nvidia Corporation; SuperMicro Corporation; Welch FoundationThe Welch Foundation [C-1845]; Weston Havens Foundation (USA)We congratulate our colleagues in the CERN accelerator departments for the excellent performance of the LHC and thank the technical and administrative staffs at CERN and at other CMS institutes for their contributions to the success of the CMS effort. In addition, we gratefully acknowledge the computing centers and personnel of the Worldwide LHC Computing Grid for delivering so effectively the computing infrastructure essential to our analyses. Finally, we acknowledge the enduring support for the construction and operation of the LHC and the CMS detector provided by the following funding agencies: BMBWF and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, FAPERGS, and FAPESP (Brazil); MES (Bulgaria); CERN; CAS, MoST, and NSFC (China); COLCIENCIAS (Colombia); MSES and CSF (Croatia); RPF (Cyprus); SENESCYT Ecuador); MoER, ERC IUT, PUT and ERDF (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); BMBF, DFG, and HGF (Germany); GSRT (Greece); NKFIA (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP and NRF (Republic of Korea); MES (Latvia); LAS (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MSHE and NSC (Poland); FCT (Portugal); JINR (Dubna); MON, RosAtom, RAS, RFBR, and NRC KI (Russia); MESTD (Serbia); SEIDI, CPAN, PCTI, and FEDER (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); ThEPCenter, IPST, STAR, and NSTDA (Thailand); TUBITAK and TAEK (Turkey); NASU (Ukraine); STFC (United Kingdom); DOE and NSF (USA). Individuals have received support from the MarieCurie program and the European Research Council and Horizon 2020 Grant, contract Nos. 675440, 752730, and 765710 (European Union); the Leventis Foundation; the A.P. Sloan Foundation; the Alexander von Humboldt Foundation; the Belgian Federal Science Policy Office; the Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA -Belgium); the Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium); the F.R.S.-FNRS and FWO(Belgium) under the "Excellence of Science - EOS" -be.h project n. 30820817; the Beijing Municipal Science & Technology Commission, No. Z191100007219010; the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Deutsche Forschungsgemeinschaft (DFG) under Germany's Excellence Strategy - EXC 2121 "Quantum Universe" - 390833306; the Lendulet ("Momentum") Program and the Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences, the New National Excellence Program UNKP, the NKFIA research grants 123842, 123959, 124845, 124850, 125105, 128713, 128786, and 129058 (Hungary); the Council of Science and Industrial Research, India; the HOMING PLUS program of the Foundation for Polish Science, cofinanced from European Union, Regional Development Fund, the Mobility Plus program of the Ministry of Science and Higher Education, the National Science Center (Poland), contracts Harmonia 2014/14/M/ST2/00428, Opus 2014/13/B/ST2/02543, 2014/15/B/ST2/03998, and 2015/19/B/ST2/02861, Sonata-bis 2012/07/E/ST2/01406; the National Priorities Research Program by Qatar National Research Fund; the Ministry of Science and Education, grant no. 14.W03.31.; 0026 (Russia); the Programa Estatal de Fomento de la Investigacion Cientifica yTecnica deExcelenciaMaria de Maeztu, grant MDM-2015-0509 and the Programa Severo Ochoa del Principado de Asturias; the Thalis and Aristeia programs cofinanced by EU-ESF and the Greek NSRF; the Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University and the Chulalongkorn Academic into Its 2nd Century Project Advancement Project (Thailand); the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, contract C-1845; and the Weston Havens Foundation (USA)
Telemedicine Platform for Remote Monitoring of Chronic Patients
Kronik hasta sayısı dünya genelinde artış göstermektedir. Bu nedenle kronik hastalıkların kontrol altına alınabilmelerinde etkili bir hastalık yönetimi ihtiyacı doğmuştur. Bu hastalıkların kontrolünde hastaların uzaktan takibine olanak sağlayan teletıp sistemlerinin büyük fayda sağlama potansiyelleri vardır. Etkin teletıp sistemlerinin geliştirilmesinde ise söz konusu bu sistemlerin ölçeklenebilirliğini ve sürdürebilirliğini sağlamak önem arz etmektedir. Bu çalışmada, kronik hastaların uzaktan izlemini gerçekleştirebilmek için yeni bir teletıp platformu önerilmektedir. Bu platform hastalara, sağlık verilerini sistem üstünden takiplerini yapan sağlık personeli ile doğrudan ve kolaylıkla paylaşabilme olanağı sunmaktadır. Sağlık personeli ise, hastalık seyrindeki gelişmeleri ve tedavi hedeflerini bu veriler sayesinde uzaktan kontrol edebilmektedir. Ayrıca sağlık personeli, platform üstünden hastaya özel olarak belirleyeceği sağlık verisi eşik değerleri ile, kendisine ve/veya hastaya otomatik bildirim mesajı gönderebilmekte, böylelikle hasta verilerini sürekli manuel olarak incelemek yerine, platform üstünden gelecek bildirimler vasıtasıyla hastaya gerekli müdahaleyi vakit kaybetmeksizin yapabilmektedir. Önerilen platform ile kronik hastalık yönetimi iyileştirilebileceği gibi, sağlık personeline olabildiğince az iş yükü getirilerek verilecek sağlık hizmetinde verim ve kalite artışı sağlanabilecek, böylelikle platformun sürdürülebilirliği de temin edilebilecektir. Çalışmada platformun ölçeklenebilirliği, eş zamanlı istek testleri ile analiz edilmiştir. Platform üstünden bildirim mesajı göndermenin, 500 eş zamanlı istek için düşük tepki süresi (200 istek/s) ve düşük hata oranı (200 requests/s) and low error rate (<1.5%) for 500 concurrent requests. These results show that the designed telemedicine platform can manage the data flow from many users and the platform can be scalable
Forecasting the Effects of İzmir Bay Tube-Tunnel Project on Rent Increase with Cellular Automata Method: The Case of İnciraltı
Bir kentin zaman içerisinde uğradığı değişimin, gelişme yönünün ve arazi kullanımlarındaki değişim eğilimlerinin simülasyonlarla belirlenmesi ile geleceğe yönelik tahminler yapmak etkili bir planlama çalışmasında oldukça önemlidir. Mevcut literatürde, kentlerin çevreye yayılımı; Hücresel Özişlem, Çok Ajanlı Sistemler, Yapay Sinir Ağları gibi karmaşık sistem modelleme teknikleri ile modellenmektedir. Hücresel Özişlem bu yöntemlerin en çok uygulananlarından biridir. Kentsel mekanın zamanda uğradığı değişim ve CBS’de Hücresel Özişlem (HÖ) yöntemiyle tahminlenmesi önemi artan bir konu olmuştur. Ülkemiz gündeminde yer alan köprü, tüp geçit, vb. projelerin kendileri kadar önemli ekonomik, sosyal ve çevresel etkileri vardır. Özellikle bu tür mega-projelerin kentsel rantlara olduğu kadar, planlama süreçlerine de olumlu/ olumsuz ikincil ve sinerjik etkileri bulunmaktadır. Bu tür etkilerin gelecekte ne olacağı da planlama açısından aynı derecede önemlidir. Ancak, mega-projelerin kentsel ranta söz konusu yöntemle etkisinin ele alınması oldukça yenidir. Rayiç bedel ve rantı belirleyen parametreler hakkında emlakçı görüşleri veri alınarak İzmir İnciraltı’ndan geçmesi planlanan İzmir Körfez Tüp Geçiş Projesinin (İKTG) HÖ ile üç olası senaryo bazında ve 2016’dan sonra beşer yıllık dönemlerde rant etkileri simüle edilmiştir. Yöntemin işleyiş sınaması yapılmış, İnciraltı bölgesindeki rantların geleceğe ilişkin verisi üretilmiştir. İKTG’nin, bölgenin hangi noktalarına güçlü etkide bulunabileceği gözlemlenmiştir. Böylece, büyük projelerin olası rant etkisi ile ilgili planlamanın yararlanabileceği ve ileride yazılıma dönüştürülebilecek elverişli bir araç geliştirilmiştir.Using simulations and perform predictions with results of the simulation to discover the changes in cities over time, the direction of growth and tendency of change patterns is pretty vital for an effective planning study. In the current literature, the sprawl of cities to their closer environs have in general been modeled by complex methods such as Cellular Automata, Multi-agent Systems and Artificial Neural Networks. Cellular Automata is one of the most common of these methods. Urban spatial change and its simulation by GIS-based Cellular Automata (GCA) is a trending issue. Such mega-projects as the bridge and tube-tunnel projects, etc., which are at the agenda of our country, are supposed to have quite important socio-economic and environmental impacts as well as the importance given to the traffic relief and transportation. These big project are known to have the secondary and synergetic impacts on urban rental values, too, and also positive and negative effects on the planning process.However, estimation of urban rent impacts of mega-projects through the method is quite new. Using data of current land values and realtor opinions on determining rent parameters, rent impacts were estimated for Izmir Bay Tube-Tunnel Project (IBTT) for three scenarios and 5-year periods after 2016. The method utility was tested for Inciraltı region, and which locations would be significantly affected by the IBTT were detected. A useful instrument that the planning can use to know rent impacts of big projects, which can be a software application in the future, was developed
Yüzer rüzgar türbinleri araştırması için bir yatay rüzgar türbininin ölçeklendirilmiş modellemesi
Thesis (Master)--Izmir Institute of Technology, Mechanical Engineering, Izmir, 2020Includes bibliographical references (leaves: 72-75)Text in English; Abstract: Turkish and EnglishFloating wind turbines have to operate under the influence of hydrodynamic and aerodynamic forces which are usually coupled in nature. Due to complicated interactions of wave and wind forces on its structure, predicting motion and performance of a floating wind turbine usually depend on many assumptions. In order to understand the dynamics of the system, experimental studies are required to obtain results by taking into account all parameters. This study is a part of a Tübitak project (217M451) that investigates the dynamics of different floating platforms with a wind turbine attached to it under an atmospheric boundary layer wind profile. In this thesis, a scaling methodology was used to model a wind turbine to use in experimental studies. Reynolds number discrepancy was demonstrated in floating wind turbine modeling. For this reason, the method was created by using Froude number and tip speed ratio similitude, and geometric, kinematic and dynamic similarity was achieved. According to the created methodology, an onshore wind turbine that has 320kW nominal power was scaled down to be used in experimental studies according to the open sea conditions. Along with the model turbine, a thrust force measuring mechanism, hot-wire sensor travers system and a motion detection method by a video have been realized. A wave maker and a wind nozzle which are the part of the Tübitak project of which the model turbine described in this thesis will be used, therefore; small description of those are also given in the thesis.Yüzer rüzgar türbinleri genellikle doğada birleşmiş hidrodinamik ve aerodinamik kuvvetlerin etkisi altında çalışmak zorundadır. Dalga ve rüzgar kuvvetlerinin yapısı üzerindeki karmaşık etkileşimleri nedeniyle, yüzen bir rüzgar türbininin hareket ve performansının tahmin edilmesi genellikle birçok varsayıma bağlıdır. Sistemin dinamiklerini anlamak için tüm parametreler dikkate alınarak sonuçların elde edilmesi için deneysel çalışmaların yapılması gerekmektedir. Bu çalışma, bir atmosferik sınır tabaka rüzgar profili altında kendisine bağlı bir rüzgar türbini ile farklı yüzen platformların dinamiklerini araştıran Tübitak projesinin (217M451) bir parçasıdır. Bu tezde, bir rüzgar türbinini modellemek ve deneysel çalışmalarda kullanmak için bir ölçekleme metodolojisi kullanılmıştır. Reynolds sayısı tutarsızlığı, yüzer rüzgar türbini modellemesinde gösterilmiştir. Bu nedenle yöntem Froude sayısı ve kanat uç hızı oranı benzerliği kullanılarak oluşturulmuş, geometrik, kinematik ve dinamik benzerlik sağlanmıştır. Oluşturulan metodolojiye göre, 320kW nominal güce sahip bir kara rüzgar türbini açık deniz koşullarına göre deneysel çalışmalarda kullanılmak üzere ölçeklendirilmiştir. Model türbin ile birlikte bir itme kuvveti ölçüm mekanizması, sıcak-tel sensörü için travers sistemi ve bir video ile hareket algılama yöntemi gerçekleştirilmiştir. Tübitak projesinin bir parçası olan ve bu tezde tarif edilen model türbinin kullanılacağı dalga yapıcı ve rüzgar nozülü, tezde de küçük bir açıklama olarak verilmiştir.TUBITAK (MAG/217M451
Taraflılığın tespiti için bir dil modeli yaklaşımı
Thesis (Master)--Izmir Institute of Technology, Computer Engineering, Izmir, 2020Includes bibliographical references (leaves: 39-41)Text in English; Abstract: Turkish and EnglishTechnology is developing day by day and is involved in every area of our lives. Technological innovations such as artificial intelligence can strengthen social biases that already exist in society, regardless of the developers' intentions. Therefore, researchers should be aware of this ethical issue. In this thesis, the effect of gender bias, which is one of the social biases, on occupation classification is investigated. For this, a new dataset was created by collecting obituaries from the New York Times website and they were handled in two different versions, with and without gender indicators. Since occupation and gender are independent variables, gender indicators should not have an impact on the occupation prediction of models. In this context, in order to investigate gender bias on occupation estimation, a model in which occupation and gender are learned together is evaluated as well as models that make only occupation classification are evaluated. The results obtained from models state that gender bias has a role in classification occupation.Teknoloji günden güne gelişerek hayatımızın her alanına dahil olmaktadır. Yapay zekâ gibi teknolojik yenilikler, geliştiricilerin niyetlerinden bağımsız olarak toplumda zaten var olan sosyal önyargıları güçlendirebilir. Bu nedenle, araştırmacılar bu etik sorunun farkında olmalıdır. Bu tez çalışmasında, sosyal önyargılardan biri olan cinsiyet yanlılığının meslek sınıflandırması üzerindeki etkisi araştırılmaktadır. Bunun için New York Times web sitesinden anma yazıları toplanarak yeni bir veri kümesi oluşturulmuş ve bu anma yazıları cinsiyet göstergeleri dahil ve hariç olmak üzere iki farklı versiyonuyla ele alınmıştır. Meslek ve cinsiyet birbirinden bağımsız değişkenler olduğu için cinsiyet göstergelerinin modellerin meslek tahmini üzerinde bir etkisi olmadığı varsayılmaktadır. Bu bağlamda, meslek tahmini üzerinde cinsiyet yanlılığını araştırmak için sadece meslek sınıflandırması yapan modellerin yanında meslek ve cinsiyetin aynı anda öğrenildiği bir model de değerlendirilmiştir. Deneysel sonuçlar meslek tahmininde cinsiyet yanlılığının etkili olduğunu ortaya koymaktadı
Atış tipi tahminleme probleminde sınıflandırma algoritmalarının karşılaştırılması
Thesis (Master)--Izmir Institute of Technology, Computer Engineering, Izmir, 2020Includes bibliographical references (leaves: 53-55)Text in English; Abstract: Turkish and EnglishThe dramatic increase in the use of IoT devices has been leading to a huge amount of valuable data to be discovered. The knowledge extraction from such a huge amount of data requires an organized scientific set of processes. This requirement has pointed out the importance of the data mining applications. As a major data mining application, classification is a supervised learning technique that requires a feature set and target class through the training process. For the training process, the key point is determining the appropriate feature set for the classification algorithm. The improvements in cutting-edge technologies such as high resolution camera systems have made extracting the insights about next pitch available. Consequently, pitch type prediction has been standing out as an important research topic. In order to predict next pitch type, existing researches mostly focus on pitcher profile, batter profile and previous pitch data in feature set. There is no study analyzing the effect of the zone information in the prediction of the next pitch type. Therefore, this study has analyzed the contribution of zone information in pitch type prediction. Our approach is that, we aimed to reveal the contribution of zones with the high strike low bat rates for pitch type decision in pitcher and batter player match up. This aim directed us to analyze the pitch type prediction problem for both zone-based and non-zone-based approaches so that we can exhibit how much zone information contributes to the problem through different classification algorithms.İnternet bağlantılı cihaz kullanımındaki çarpıcı artış, devasa miktarda keşfedilecek kıymetli verinin oluşmasına neden olmaktadır. Bu kadar büyük miktarlardaki veriden anlamlı bilgi çıkarmak organize edilmiş bir dizi bilimsel işlem gerektirmektedir. Bu gereklilik veri madenciliği uygulamalarının önemine işaret etmektedir. Temel bir veri madenciliği uygulaması olarak sınıflandırma, eğitim süresince özellik kümesi ve hedef sınıfı gerektiren denetimli bir öğrenme tekniğidir. Eğitim işlemi için önemli nokta sınıflandırma algoritması için uygun özellik dizisine karar vermektir. Yüksek çözünürlüklü kamera sistemleri gibi son gelişen teknolojiler bir sonraki atış hakkında çıkarım yapmaya imkan sağlamıştır. Bunun sonucunda atış tipi tahminlemesi önemli bir araştırma konusu olarak öne çıkmaktadır. Bir sonraki atış tipini tahminlemek için mevcut çalışmalar özellik kümesinde çoğunlukla atıcı profili, vurucu profili ve önceki atış bilgilerini kullanmıştır. Bölge bilgisinin bir sonraki atış tipini tahminlemedeki etkisini analiz eden bir çalışma olmadığından dolayı bu çalışma bölge bilgisinin atış tipi tahminlemesindeki katkısını analiz etmiştir. Yaklaşımımız atışı vurucu eşleşmelerinde, yüksek atış ve düşük vuruş değerli bölgelerin atış tipi kararına katkısını ortaya çıkarmak şeklindedir. Bu amaç bizi atış tipi tahminleme probleminde bölge bilgisinin katkısını ortaya koyabilmek amacıyla bölge temelli ve bölgesiz olarak sınıflandırma algoritmalarını incelemeye yöneltmiştir
Dovecotes in Kayabağ village: an assessment of landscape and architectural characteristics
The dovecotes of Kayseri-Gesi stand out as unique examples of indigenous architecture of Anatolia. They are considered significant elements of the rural landscape. The purpose of the construction, the constructional and spatial characteristics peculiar to these dovecotes, make them an important element of global cultural and architectural heritage. Dovecotes that are built upon rocks, with mere building stones provided from the same rocks, look like a shaped form of the topography itself. This is very much to do with the geological features of the Cappadocia Region where Kayseri is located. In terms of construction techniques and spatial organization, the dramatic differences in the dovecotes’ underground and aboveground parts make them even more outstanding. This research is based on the field studies conducted in the dovecotes of Kayabağ. The landscape was studied in all aspects and each dovecote is studied for its placement, topographical interactions, plan and section typologies, materiality and construction techniques. The structural problems stemmed from the geological features and the deterioration caused by external factors are taken into consideration. The study concludes with an overall approach for preservation, sustainability and conservation process of the heritage landscape of Dovecotes [Güvercinlik] of Kayabağ
Effect of CNT incorporation on PAN/PPy nanofibers synthesized by electrospinning method
Yilmaz, Selahattin/0000-0003-2853-0751In this study, carbon nanotubes (CNTs) added polyacrylonitrile/polypyrrole (PAN/PPy) electrospun nanofibers were produced. Average diameters of the nanofibers were measured as 268 and 153 nm for 10 and 25 wt% of PPy contents, respectively. A relatively higher strain to failure values (23.3%) were observed for the low PPy content. When as-grown CNTs (1 and 4 wt%) were added into the PAN/PPy blends, disordered nanofibers were observed to form within the microstructure. To improve the interfacial properties of CNTs/PAN/PPy composites, CNTs were functionalized with H2SO4/HNO3/HCl solution. The functionalized CNTs were well dispersed within the nanofibers and aligned along the direction of nanofibers. Therefore, beads formation on nanofibers decreased. The impedance of the nanofibers was found to decrease with the PPy content and CNT addition. These nanofibers had a great potential to be used as an electrochemical actuator or a tissue engineering scaffold