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Stabil hücre hatlarının geliştrilmesi için transfeksiyon koşullarının optimize edilmesi
No full textThesis (Master)--Izmir Institute of Technology, Biotechnology, Izmir, 2020Includes bibliographical references (leaves: 30-35)Text in English; Abstract: Turkish and EnglishTransgenic cell lines that produce biopharmaceutical proteins are widely utilized in the biotech industry and the demand is not predicted to decline in the near future. For obtaining an industrially usable cell line, process components like expression vector, host cell line and transfection method need to be carefully selected. Due to all practical reasons, the industry prefers to use the most conventional Chinese hamster ovary (CHO) cell line. The generation of recombinant cell lines is known to be time-consuming, labor-intensive and expensive. Therefore, the several steps of this process are under constant development. One of the first work packages is transfection, where genes encoding for the therapeutic protein are taken into mammalian host cells. In this study, we aimed to generate a more cost-effective transfection procedure using the electroporation based technology of nucleofection. This method is favored by the researchers for its high and reproducible transfection efficiency, but also known for the high cost and lack of public information on its components and related consumables. As a result of this study, a novel nucleofection solution was developed for the transfection of CHO-DG44 cells, showing comparable if not better performance over the commercial Lonza's solution in terms of transient and stable expression of recombinant proteins. The transfection was further improved by selecting a more effective nucleofection program and by linearizing the plasmid prior to transfection. These enhancements, optimized on the basis of the biotherapeutic protein production, are potentially advantageous for any research requiring a large number of efficient transfection experiments.Biyofarmasötik proteinler üreten rekombinant hücre hatları biyoteknoloji endüstrisinde yaygın olarak kullanılmaktadır ve bunlara olan talebin yakın gelecekte azalması beklenmemektedir. Endüstriyel olarak kullanılabilir bir hücre hattı oluşturmak için, ekspresyon vektörü, konak hücre hattı ve transfeksiyon yöntemi olarak bileşenlerin dikkatle seçilmesi gerekmektedir. Pratik nedenlerden dolayı, endüstride en geleneksel Çin hamsteri yumurtalık (CHO) hücre hattını kullanmak tercih edilir. Rekombinant hücre hatlarının oluşturulması zaman alıcı, zahmetli ve pahalıdır, bu nedenle daha fazla geliştirilmeye ihtiyaç duyar. Çalışma paketlerinden biri, terapötik proteini kodlayan genlerin konak hücrelere alındığı transfeksiyondur. Bu projede amaç, nükleofeksiyonun elektroporasyon tabanlı teknolojisinin kullanıldığı, uygun maliyetli bir transfeksiyon prosedürü oluşturmaktır. Araştırmacılar, yüksek ve tekrarlanabilir transfeksiyon verimliliği nedeniyle bu yöntemi tercih ediyorlar, ancak bileşenleri ve ilgili sarf malzemeleri hakkında yüksek maliyet ve kamuya açık bilgi eksikliği sorunu da var. Bu çalışmanın bir sonucu olarak, CHO-DG44 hücrelerinin transfeksiyonu için yeni bir nükleofeksiyon çözeltisi geliştirilmiştir. Bu çözelti, rekombinant proteinlerin geçici ve stabil ekspresyonu açısından ticari Lonza'nın çözeltisi üzerinde daha iyi olmasa bile karşılaştırılabilir bir performans gösterir. Daha etkili bir nükleofeksiyon programı seçerek ve plazmidi transfeksiyondan önce doğrusal hale getirerek transfeksiyonu daha da geliştirdik. Biyoterapötik protein üretimine göre optimize edilen bu geliştirmeler, birçok verimli transfeksiyon deneyi gerektiren herhangi bir araştırma için avantajlı olabilir
Measurement of electroweak production of a W boson in association with two jets in proton-proton collisions at root s=13 TeV
No full textTrejo, Raul Iraq Rabadan/0000-0002-9787-3910; Polikarpov, Sergey/0000-0001-6839-928X; Cuevas-Maestro, Francisco Javier/0000-0001-5080-0821; Steggemann, Jan/0000-0003-4420-5510; Arneodo, Michele/0000-0002-7790-7132; Ligabue, Franco/0000-0002-1549-7107; Cortezon, Jose Enrique Palencia/0000-0001-8264-0287; Peris, Antonio Delgado/0000-0002-8511-7958; Andreev, Vladimir F/0000-0002-5492-6920; Wulz, Claudia-Elisabeth E/0000-0001-9226-5812; Stahl, Achim/0000-0002-8369-7506; Lezki, Samet/0000-0002-6909-774X; Ricca, Giuseppe Della/0000-0003-2831-6982; Iglesias, Maria Cruz Fouz/0000-0003-2950-976X; Demiroglu, Zuhal Seyma/0000-0001-7977-7127; Boimska, Bozena/0000-0002-4200-1541; Yazgan, Efe/0000-0001-5732-7950; Fiori, Francesco/0000-0001-8770-9343; Calligaris, Luigi/0000-0002-9951-9448; D'Hondt, Jorgen/0000-0002-9598-6241; Behera, Prafulla Kumar/0000-0002-1527-2266; Blekman, Freya/0000-0002-7366-7098; Azarkin, Maxim/0000-0002-7448-1447; Vai, Ilaria/0000-0003-0037-5032; Terkulov, Adel/0000-0003-4985-3226; Duarte, Javier/0000-0002-5076-7096; Obertino, Maria Margherita/0000-0002-8781-8192; Demiroglu, Zuhal Seyma/0000-0001-7977-7127; TOPAKSU, Aysel KAYIS/0000-0001-5819-6913; Barria, Patrizia/0000-0002-3924-7380; Fallavollita, Francesco/0000-0003-2315-2499; Bortignon, Pierluigi/0000-0002-5360-1454; Tiras, Emrah/0000-0002-5628-7464; Meridiani, Paolo/0000-0002-8480-2259; Chadeeva, Marina/0000-0003-1814-1218; Ferencek, Dinko/0000-0001-9116-1202; Lopez, Oscar Gonzalez/0000-0002-4532-6464; Bagliesi, Giuseppe/0000-0003-4298-1620; Galati, Giuliana/0000-0001-7348-3312; Danilov, Mikhail/0000-0001-9227-5164; Guler, Y./0000-0001-7598-5252; d'Enterria, David/0000-0002-5754-4303; lee, jason/0000-0002-2153-1519; Sculac, Toni/0000-0002-9578-4105; Ruiz Jimeno, Alberto/0000-0002-3639-0368; Leonardo, Nuno/0000-0002-9746-4594; Krolikowski, Jan/0000-0002-3055-0236; Bachiller, IreneBachiller/0000-0002-3721-4876; Da Silveira, Gustavo Gil/0000-0003-3514-7056; Paganis, Stathes/0000-0002-1950-8993; Belyaev, Alexander/0000-0002-1733-4408; Mackay, Catherine/0000-0003-4252-6740; Sanchez Navas, Sergio/0000-0001-6129-9059; Grunewald, Martin/0000-0002-5754-0388; Buchanan, James/0000-0001-8207-5556; Akgun, Bora/0000-0001-8888-3562; Androsov, Konstantin/0000-0003-2694-6542; Heath, Helen/0000-0001-6576-9740; Tapper, Alexander/0000-0003-4543-864X; Kole, Gouranga/0000-0002-3285-1497; Hall, Geoffrey/0000-0002-6299-8385; Gallinaro, Michele/0000-0003-1261-2277; Hernandez Calama, Jose Maria/0000-0001-6436-7547; Mitra, Soureek/0000-0002-3060-2278; Torassa, Ezio/0000-0003-2321-0599; Trevisani, Nicolo/0000-0002-5223-9342; Goy Lopez, Silvia/0000-0001-6508-5090PubMed: 32026888A measurement is presented of electroweak (EW) production of a W boson in association with two jets in proton-proton collisions at root s = 13 TeV. The data sample was recorded by the CMS Collaboration at the LHC and corresponds to an integrated luminosity of 35.9 fb(-1). The measurement is performed for the l nu jj final state (with l nu. indicating a lepton-neutrino pair, and j representing the quarks produced in the hard interaction) in a kinematic region defined by invariant mass m(jj) > 120 GeV and transverse momenta p(Tj) > 25 GeV. The cross section of the process is measured in the electron and muon channels yielding sigma(EW)(Wjj) = 6.23 +/- 0.12 (stat)+/- 0.61 (syst) pb per channel, in agreement with leading-order standard model predictions. The additional hadronic activity of events in a signal-enriched region is studied, and the measurements are compared with predictions. The final state is also used to perform a search for anomalous trilinear gauge couplings. Limits on anomalous trilinear gauge couplings associated with dimension-six operators are given in the framework of an effective field theory. The corresponding 95% confidence level intervals are -2.3 < c(WWW)/Lambda(2) < 2.5 TeV-2, -8.8 < cW/Lambda(2) < 16 TeV-2, and -45 < c(B)/Lambda(2) < 46 TeV-2. These results are combined with the CMS EW Z(jj) analysis, yielding the constraint on the cWWW coupling: -1.8 < c(WWW)/Lambda(2) < 2.0TeV(-2).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; 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); 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); UASLPFAI (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); 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); SFFR (Ukraine)State Fund for Fundamental Research (SFFR); STFC (United Kingdom)Science & Technology Facilities Council (STFC); DOE (USA)United States Department of Energy (DOE); NSF (USA)National Science Foundation (NSF); Marie-Curie 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, 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; FWO (Belgium)FWO [30820817]; Beijing Municipal Science AMP; Technology CommissionBeijing Municipal Science & Technology Commission [Z181100004218003]; Ministry of Education, Youth and Sports (MEYS) of the Czech RepublicMinistry of Education, Youth & Sports - Czech Republic; Hungarian Academy of Sciences (Hungary)Hungarian Academy of Sciences; New National Excellence Program UNKP (Hungary); NKFIA (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; European Union, Regional Development FundEuropean Union (EU); Mobility Plus program 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; 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 program; Aristeia program; EU-ESFEuropean Union (EU); Greek NSRFGreek Ministry of Development-GSRT; Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University (Thailand); Chulalongkorn Academic into Its 2nd Century Project Advancement Project (Thailand); Welch FoundationThe Welch Foundation [C-1845]; Weston Havens Foundation (USA); DST (India)Department of Science & Technology (India)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 theWorldwide 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, 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 UASLPFAI (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 and SFFR (Ukraine); STFC (United Kingdom); DOE and NSF (USA).r Individuals have received support from the Marie-Curie program and the European Research Council and Horizon 2020 Grant, contract Nos. 675440 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.; Z181100004218003; the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; 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 Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia Maria 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); theWelch Foundation, contract C-1845; and theWeston Havens Foundation (USA)
Comparison of Weibull Estimation Methods for Diverse Winds
No full textBingol, Ferhat/0000-0002-8071-3814Wind farm siting relies on in situ measurements and statistical analysis of the wind distribution. The current statistical methods include distribution functions. The one that is known to provide the best fit to the nature of the wind is the Weibull distribution function. It is relatively straightforward to parameterize wind resources with the Weibull function if the distribution fits what the function represents but the estimation process gets complicated if the distribution of the wind is diverse in terms of speed and direction. In this study, data from a 101 m meteorological mast were used to test several estimation methods. The available data display seasonal variations, with low wind speeds in different seasons and effects of a moderately complex surrounding. The results show that the maximum likelihood method is much more successful than industry standard WAsP method when the diverse winds with high percentile of low wind speed occur.Scientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [215M384]This project has been supported by the Scientific and Technological Research Council of Turkey (TUBITAK) (Grant no. 215M384)
Model-güdümlü Mühendislik Üstüne Sistematik Gözden Geçirmeler: Bir Üçüncül Çalışma
No full textTo cope with growing complexity of software-intensive systems, model-driven engineering (MDE) has become a widely used approach in the industry by providing many (potential) benefits with different purposes. Although there has been an increasing interest in conducting secondary studies among MDE researchers such as surveys, systematic mapping (SM) and systematic literature review (SLR), there have been no tertiary study to synthesize the findings from all these existing secondary studies, which also examines various characteristics of software modeling (e.g., purposes, benefits and challenges) as a meta-analysis. The objective of this paper is to investigate and understand the state-of-the-practices in MDE based on the modeling characteristics by presenting a tertiary study (i.e., a systematic review of systematic reviews). To this end, we collected the set of all the existing 64 secondary studies in this field using a well-defined search strategy. This article presents inputs for different modeling stakeholders to better understand and use different purposes, benefits, and challenges of MDE by aggregating consolidated findings on this approach.Yazılım-yoğun sistemlerin artan karmaşıklığı ile başa çıkmakta bir araç olarak görülen model-güdümlü mühendislik (MGM), farklı amaçlar için sağladığı kazanımlarla endüstride yaygın olarak kullanılmaya başlanmıştır. MGM araştırmacıları arasında anket, sistematik haritalama (SH) ve sistematik literatür taraması (SLT) gibi ikincil çalışmaların yapılmasına ilgi artmasına rağmen, tüm bu çalışmalardan elde edilen bulguları sentezleyen ve yazılım modelleme karakteristiklerine göre ayrıştıran (örneğin, modelleme amacı, faydası ve karşılaşılan zorluklar gibi) bir üçüncül çalışma bulunmamaktadır. Literatürdeki boşluğu dolduran bu çalışmada, MGM'deki uygulama durumlarını yansıtan mevcut 64 ikincil çalışma, modelleme karakteristiklerine göre gruplandırılmıştır. Sistematik inceleme çalışmalarının sistematik çalışmasını sunan bu makale, MGM’nin farklı amaç, fayda ve zorluklarını daha iyi anlamaları için tüm modelleme paydaşlarına (araştırmacılar da dahil) girdi sağlayarak, değişik MGM kullanımlarına modelleme karakteristikleri bazlı olarak ışık tutacaktır
İmar kurallarının otomatik kontrolünün desteklenmesine yönelik CBS ve YBM bütünleşmesi için bir yöntem
No full textThesis (Doctoral)--Izmir Institute of Technology, Architecture, Izmir, 2020Includes bibliographical references (leaves: 123-131)Text in English; Abstract: Turkish and EnglishThis thesis constitutes a study in the field of BIM-GIS interoperability, with a concentration on code compliance checking. Code checking requires appropriate computer-based models of building codes in digital format, zoning plans in GIS and building designs in BIM environment. However, in existing design environments, it is not possible to access neighborhood data. Interoperability and geographical data transfer from GIS to BIM environments are problematic. This study proposes a methodology for the creation of a third-party platform that draws IFC and GML data from both BIM and GIS environments separately and then combines them in a unified domain model appropriate to the field to be used in code checking processes. The proposed methodology includes the identification of the required data in the area of study; identification of how much of the data can be modelled with BIM model or GIS model; construction of the BIM and GIS domain models using the identified data; and development of an application that integrates the two domain models and manages them as a whole. For validation of the methodology and testing the developed platform, a proof of concept prototype is developed. The system retrieves building codes, reads the BIM file sent by the architect, and retrieves the information on the neighborhood the building is located in from GIS and conducts the checking process. The system demonstrates that BIM and GIS information can be compiled together during a code checking process creating a third-party platform. The applicability of the model has been evaluated through use-case scenarios. The use-cases demonstrate that the zoning domain model developed in this thesis can be used as a database to manage geographical information. Coupling the zoning domain model with BIM data supports digital code checking, eliminating the need for hard copies and simplifying approval processes as well as enabling architects to self-check designs for compliance before submitting them to municipalities.YBM-CBS birlikte işlerliği alanında geliştirilen bu doktora tezinde, uyumluluk denetimi otomasyonu üzerine yoğunlaşan bir çalışma yürütülmüştür. Uyumluluk denetimi, dijital ortamda bina ile ilgili yönetmeliklerin bilgisayar tabanlı modellerini, CBS'de kentsel veriler ile imar planlarını, ve YBM ortamında da bina tasarımının bulunmasını gerektirir. Oysaki, mevcut tasarım ortamlarında çevre verilerine ulaşmak mümkün değildir. Birlikte işlerlik ve CBS'den YBM ortamlarına coğrafi veri aktarımı sorunludur. Bu çalışma, bina ve çevre verilerini YBM ve CBS ortamlarından ayrı ayrı çeken ve daha sonra bunları alana özgü bir modelde bütünleştiren üçüncü, bağımsız bir platformun oluşturulması için bir yöntem önermiş ve geliştirilen modeli uyumluluk denetimi süreçlerine uygulamıştır. Bu yöntem, çalışılan alanda gerekli olan verinin tanımlanması; verinin ne kadarının YBM veya CBS ile modellenebileceğinin belirlenmesi; belirlenen veriyi kullanarak YBM ve CBS alan modellerinin oluşturulması; ve bu iki alan modelini entegre edip bir bütün olarak yöneten bir uygulamanın geliştirilmesi adımlarını içermektedir. Yöntemin uygulanabilirliğinin ve geliştirilen platformun test edilmesi için, bir prototip geliştirilmiştir. Bu prototip, imar yönetmeliğini, mimar tarafından gönderilen YBM dosyasını ve CBS'deki çevre verisini çekmekte ve uyumluluk denetimi sürecini yürütmektedir. Bu yaklaşım, uyumluluk denetiminin gerektirdiği YBM ve CBS verilerinin bağımsız, ayrı bir platformda birlikte derlenebileceğini göstermektedir. Modelin uygulanabilirliği kullanım senaryoları ile değerlendirilmiştir. Kullanım örnekleri, bu tezde geliştirilen alana özgü modelin çevre verisini yönetmekte bir veritabanı olarak kullanılabileceğini göstermektedir. İmar yönetmeliklerine özgü bu modelin YBM verisiyle bütünleştirilmesi uyumluluk denetimi otomasyonu süreçlerini desteklemekte, basılı kopya ihtiyacını ortadan kaldırmakta ve onay süreçlerini basitleştirmekte, ayrıca mimarların belediyelere göndermeden önce tasarımları uygunluk açısından kendilerinin kontrol etmelerini sağlamaktadır
Katlanabilir direk yapısı
No full textBuluş konusu, anten, güneş paneli, sensör gibi bazı uydu bileşenlerinin ana uydu gövdesinden belirli bir mesafe uzağında konumlandırılması için ihtiyaç duyulan katlanabilir direkler ile ilgilidir.Türk Patent ve Marka Kurumu 2. Ulusal Üniversiteler Patent Yarışmas
Inclusive search for highly boosted Higgs bosons decaying to bottom quark-antiquark pairs in proton-proton collisions at √s=13 TeV
No full textA search for standard model Higgs bosons (H) produced with transverse momentum (pT) greater than 450 GeV and decaying to bottom quark-antiquark pairs (b b ¯) is performed using proton-proton collision data collected by the CMS experiment at the LHC at s = 13 TeV. The data sample corresponds to an integrated luminosity of 137 fb?1. The search is inclusive in the Higgs boson production mode. Highly Lorentz-boosted Higgs bosons decaying to b b ¯ are reconstructed as single large-radius jets, and are identified using jet substructure and a dedicated b tagging technique based on a deep neural network. The method is validated with Z ?b b ¯ decays. For a Higgs boson mass of 125 GeV, an excess of events above the background assuming no Higgs boson production is observed with a local significance of 2.5 standard deviations (?), while the expectation is 0.7. The corresponding signal strength and local significance with respect to the standard model expectation are ?H = 3.7 ± 1.2(stat)?0.7+0.8(syst)?0.5+0.8(theo) and 1.9 ?. Additionally, an unfolded differential cross section as a function of Higgs boson pT for the gluon fusion production mode is presented, assuming the other production modes occur at the expected rates. [Figure not available: see fulltext.] © 2020, The Author(s)
Stability in Commutative Rings
No full textLet R be a commutative ring with zero-divisors and I an ideal of R. I is said to be ES-stable if JI = for some invertible ideal J ? I , and I is said to be a weakly ES-stable ideal if there is an invertible fractional ideal J and an idempotent fractional ideal E of R such that I = JE . We prove useful facts for weakly ES-stability and investigate this stability in Noetherian-like settings. Moreover, we discuss a question of A. Mimouni on locally weakly ES-stable rings: is a locally weakly ES-stable domain of finite character weakly ES-stable
Kentsel formun kentsel canlılık üzerindeki etkisi: Yenikale mahallesinde iki örneğin karşılaştırmalı analizi
No full textThesis (Master)--Izmir Institute of Technology, City and Regional Planning, Izmir, 2020Includes bibliographical references (leaves: 106-113)Text in English; Abstract: Turkish and EnglishUrban vitality represents active street life in cities. Pedestrian density and diversity of the streets, which are the most important public spaces for cities, and also variety of pedestrian activity on the streets are the urban vitality indicators. Urban vitality enhances social interaction and sense of belonging by bringing together the people from different groups for different purposes at different times of the day. Vital urban areas is the basis for creating safe, sustainable and successful urban environments. Researches argue that urban form components of residential areas encourage or limit urban vitality. Accordingly, this thesis examines the impact of urban form on urban vitality. Urban vitality studies in Turkey are mostly conducted in the the historic city centers or central business districts. There is an important literature gap about determining the level of urban vitality of an urban area in residential areas at urban block scale. Assessing urban vitality at the urban block scale is crucial to creating socially and economically sustainable residential areas. The aim of the thesis is to asssess and measure the impact of urban vitality factors related to urban form on urban vitality. In this direction, it is aimed to reveal the relationship between urban form and urban vitality through a case study. Within the scope of the thesis, two zones representing different urban forms are selected in the Yenikale neighborhood in Narlıdere District of Izmir as a case study area. Firstly, pedestrian counting is carried out in 5 different streets for each zone in order to determine the urban vitality level of the zones. Then, urban form data of the zones are collected and analyzed. Finally, the factors affecting urban vitality are evaluated by scoring method. In addition, according to the findings of the thesis, recommendations are provided to increase the urban vitality. Consequently, importance of urban form components in order to maintain urban vitality and the necessity of urban vitality for the sustainable future of the cities have been revealed.Kentsel canlılık şehirlerdeki aktif sokak hayatını temsil eder. Şehirler için en önemli kamusal mekanlar olan sokakların yaya yoğunluğu ve çeşitliliği, ve ayrıca sokaklardaki yaya aktivitelerinin çeşitliliği kentsel canlılık göstergeleridir. Kentsel canlılık, farklı gruplardan insanları, farklı amaçlarla, günün farklı saatlerinde bir araya getirerek, sosyal etkileşimi ve aidiyet duygusunu geliştirir. Canlı kentsel alanlar, güvenli, sürdürülebilir ve başarılı kentsel çevreler oluşturmanın temelidir. Araştırmalar, yerleşim alanlarının kentsel form bileşenlerinin, kentsel canlılığı teşvik ettiğini veya sınırladığını iddia ediyor. Bu doğrultuda, bu tez, kentsel formun kentsel canlılık üzerindeki etkisini incelemektedir. Türkiye'de kentsel canlılık çalışmaları, çoğunlukla tarihi şehir merkezinde veya merkezi iş alanlarında gerçekleştirilmiştir. Kentsel blok ölçeğinde, yerleşim alanlarında bir kentsel alanın kentsel canlılık seviyesinin belirlenmesi hakkında önemli bir literatür açığı vardır. Kentsel blok ölçeğinde kentsel canlılığın değerlendirilmesi, sosyal ve ekonomik açıdan sürdürülebilir yerleşim alanları oluşturmak için çok önemlidir. Tezin amacı, kentsel form ile ilişkili kentsel canlılık faktörlerinin kentsel canlılık üzerindeki etkisini ölçmek ve değerlendirmektir. Bu doğrultuda, kentsel form ve kentsel canlılık arasındaki ilişkiyi vaka çalışması ile ortaya koymayı amaçlamaktadır. Tez kapsamında, İzmir'in Narlıdere İlçesinin Yenikale Mahallesi'nde farklı kentsel formları temsil eden iki bölge örnek vaka alanı olarak seçilmiştir. İlk olarak, bölgelerin kentsel canlılık seviyesini belirlemek için her bölge için 5 ayrı sokakta yaya sayımları yapılmıştır. Daha sonra, bölgelerin kentsel form verileri toplanmış ve analiz edilmiştir. Son olarak, kentsel canlılığı etkileyen faktörler puanlama yöntemi ile değerlendirilmiştir. Ayrıca, tezin bulgularına göre, kentsel canlılığı arttırmak için önerilerde bulunulmuştur. Sonuç olarak, kentsel canlılığı korumak için kentsel form bileşenlerinin önemi ve kentlerin sürdürülebilir geleceği için kentsel canlılığın gerekliliği ortaya konulmuştur
Search for a light charged Higgs boson in the H-+/- -> cs channel in proton-proton collisions at root s=13 TeV
No full textLezki, Samet/0000-0002-6909-774X; Meridiani, Paolo/0000-0002-8480-2259; Wulz, Claudia-Elisabeth E/0000-0001-9226-5812; Arneodo, Michele/0000-0002-7790-7132; Gokbulut, Gul/0000-0002-0175-6454; Malawski, Maciej/0000-0001-6005-0243; Obertino, Maria Margherita/0000-0002-8781-8192; Dudko, Lev/0000-0002-4462-3192; Yzquierdo, Antonio Perez-Calero/0000-0003-3036-7965; Blekman, Freya/0000-0002-7366-7098; Ligabue, Franco/0000-0002-1549-7107; Andreev, Vladimir F/0000-0002-5492-6920; Goh, Junghwan/0000-0002-1129-2083; Fallavollita, Francesco/0000-0003-2315-2499; De Guio, Federico/0000-0001-5927-8865; Demiroglu, Zuhal Seyma/0000-0001-7977-7127; Mahmoud, Mohammed Attia/0000-0001-8692-5458; Sen, F. Aydogmus/0000-0003-1434-2143; Bortignon, Pierluigi/0000-0002-5360-1454; Ivanchenko, Vladimir/0000-0002-1844-5433; Ivanchenko, Vladimir N/0000-0002-1844-5433; Yazgan, Efe/0000-0001-5732-7950; Loukas, Dimitris/0000-0002-7431-3857; Tcherniaev, Evgueni/0000-0002-3685-0635; Lopez, Oscar Gonzalez/0000-0002-4532-6464; Habibullah, Redwan/0000-0002-3161-8300; Duarte, Javier/0000-0002-5076-7096; Bagliesi, Giuseppe/0000-0003-4298-1620; Minafra, Nicola/0000-0003-4002-1888; Cortezon, Jose Enrique Palencia/0000-0001-8264-0287; Steggemann, Jan/0000-0003-4420-5510; Chadeeva, Marina/0000-0003-1814-1218; Bartosik, Nazar/0000-0002-7196-2237; Azarkin, Maxim/0000-0002-7448-1447; mohammed, yasser/0000-0001-8399-3017; Ricca, Giuseppe Della/0000-0003-2831-6982; Calligaris, Luigi/0000-0002-9951-9448; D'Hondt, Jorgen/0000-0002-9598-6241; Da Silveira, Gustavo Gil/0000-0003-3514-7056; Terkulov, Adel/0000-0003-4985-3226; Demiroglu, Zuhal Seyma/0000-0001-7977-7127; Ferencek, Dinko/0000-0001-9116-1202; Shopova, Mariana/0000-0001-6664-2493; d'Enterria, David/0000-0002-5754-4303; Hall, Geoffrey/0000-0002-6299-8385; Akgun, Bora/0000-0001-8888-3562; Diaz, Daniel/0000-0001-6834-1176; Navarro-Tobar, Alvaro/0000-0003-3606-1780; Gomez, Gervasio/0000-0002-1077-6553; Bachiller, IreneBachiller/0000-0002-3721-4876; Tapper, Alexander/0000-0003-4543-864X; Sanchez Navas, Sergio/0000-0001-6129-9059; Leon Holgado, Jaime/0000-0002-4156-6460A search is conducted for a low-mass charged Higgs boson produced in a top quark decay and subsequently decaying into a charm and a strange quark. The data sample was recorded in proton-proton collisions at root s = 13 TeV by the CMS experiment at the LHC and corresponds to an integrated luminosity of 35.9 fb(-1). The search is performed in the process of top quark pair production, where one top quark decays to a bottom quark and a charged Higgs boson and the other to a bottom quark and a W boson. With the W boson decaying to a charged lepton (electron or muon) and a neutrino, the final state comprises an isolated lepton, missing transverse momentum, and at least four jets, of which two are tagged as b jets. To enhance the search sensitivity, one of the jets originating from the charged Higgs boson is required to satisfy a charm tagging selection. No significant excess beyond standard model predictions is found in the dijet invariant mass distribution. An upper limit in the range 1.68%-0.25% is set on the branching fraction of the top quark decay to the charged Higgs boson and bottom quark for a charged Higgs boson mass between 80 and 160 GeV.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) [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"-be.h ProjectFonds de la Recherche Scientifique - FNRS [30820817]; FWO (Belgium) under the "Excellence of Science-EOS"-be.h ProjectFWO [30820817]; Beijing Municipal Science and 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, 390833306]; Lendulet ("Momentum") Program 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 (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; European Union, Regional Development FundEuropean Union (EU); Mobility Plus program 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); Tomsk Polytechnic University "Nauka" Project (Russia) [FSWW2020-0008]; Programa Estatal de Fomento de la Investigacion Cientifica y T'ecnica de Excelencia Maria 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 (Thailand); 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 theWorldwide 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, Contracts No. 675440, No. 752730, and No. 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 No. 30820817; the Beijing Municipal Science and 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 No. 123842, No. 123959, No. 124845, No. 124850, No. 125105, No. 128713, No. 128786, and No. 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 No. Harmonia 2014/14/M/ST2/00428, No. Opus 2014/13/B/ST2/02543, No. 2014/15/B/ST2/03998, and No. 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 No.; r FSWW2020-0008 (Russia); the Programa Estatal de Fomento de la Investigacion Cientifica y T ' ecnica de Excelencia Maria de Maeztu, Grant No. 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 No. C-1845; and the Weston Havens Foundation (USA)