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Search for new physics in the lepton plus missing transverse momentum final state in proton-proton collisions at s√ = 13 TeV
No full textA search for physics beyond the standard model (SM) in final states with an electron or muon and missing transverse momentum is presented. The analysis uses data from proton-proton collisions at a centre-of-mass energy of 13 TeV, collected with the CMS detector at the LHC in 2016–2018 and corresponding to an integrated luminosity of 138 fb−1. No significant deviation from the SM prediction is observed. Model-independent limits are set on the production cross section of W’ bosons decaying into lepton-plus-neutrino final states. Within the framework of the sequential standard model, with the combined results from the electron and muon decay channels a W’ boson with mass less than 5.7 TeV is excluded at 95% confidence level. Results on a SM precision test, the determination of the oblique electroweak W parameter, are presented using LHC data for the first time. These results together with those from the direct W’ resonance search are used to extend existing constraints on composite Higgs scenarios. This is the first experimental exclusion on compositeness parameters using results from LHC data other than Higgs boson measurements.BMBWF and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, FAPERGS, and FAPESP (Brazil); MES and BNSF (Bulgaria); CERN; CAS, MoST, and NSFC (China); MINCIENCIAS (Colombia); MSES and CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); MoER, ERC PUT and ERDF (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); BMBF, DFG, and HGF (Germany); GSRI (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); MCIN/AEI and PCTI (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, 724704, 752730, 758316, 765710, 824093, 884104, and COST Action CA16108 (European Union); the Leventis Foundation; the Alfred 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, and under project number 400140256 -GRK2497; 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 Latvian Council of Science; the Ministry of Science and Higher Education and the National Science Center, contracts Opus 2014/15/B/ST2/03998 and 2015/19/B/ST2/02861 (Poland); the Fundacao para a Ciencia e a Tecnologia, grant CEECIND/01334/2018 (Portugal); the National Priorities Research Program by Qatar National Research Fund; the Ministry of Science and Higher Education, projects no. 0723-2020-0041 and no. FSWW-2020-0008 (Russia); MCIN/AEI/10.
13039/501100011033, ERDF "a way of making Europe", and the Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia Maria de Maeztu, grant MDM-2017-0765 and Programa Severo Ochoa del Principado de Asturias (Spain); the Stavros Niarchos Foundation (Greece); 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 (U.S.A.).Publisher versio
Perspektiften bağımsız eylem tanıma sağlayan ekolojik koordinat sistemi
No full textIn robotics, objects and body parts can be represented in various coordinate frames to ease computation. In biological systems, body or body part centered coordinate frames have been proposed as possible reference frames that the brain uses for interacting with the environment. Coordinate transformations are standard tools in robotics and can facilitate perspective invariant action recognition and action prediction based on observed actions of other agents. Although it is known that human adults can do explicit coordinate transformations, it is not clear whether this capability is used for recognizing and understanding the actions of others. Mirror neurons, found in the ventral premotor cortex of macaque monkeys, seem to undertake action understanding in a perspective invariant way, which may rely on lower level perceptual mechanisms. To this end, in this paper, we propose a novel reference frame that is ecologically plausible and can sustain basic action understanding and mirror function. We demonstrate the potential of this representation by simulation of an upper body humanoid robot with an action repertoire consisting of push, poke, move-away, bring-to-mouth, bring-left and bring-right actions. The simulation experiments indicate that the representation is suitable for action recognition and effect prediction in a perspective invariant way, and thus can be deployed as an artificial mirror system for robotic applications.Robotikte, nesneler ve vücut parçaları, hesaplamayı kolaylaştırmak için çeşitli koordinat sistemlerinde temsil edilebilir. Biyolojik sistemlerde, vücut veya vücut parçası merkezli koordinat sistemleri, beynin çevre ile etkileşim için kullandığı olası referans sistemleri olarak önerilmiştir. Koordinat dönüşümleri robotikte standart araçlardır ve diğer ajanların gözlemlenen eylemlerine dayalı olarak perspektiften bağımsız eylem tanıma ve eylem tahminini kolaylaştırabilir. Yetişkin insanların kolaylıkla koordinat dönüşümleri yapabildikleri bilinmesine rağmen, bu yeteneğin başkalarının eylemlerini tanımak ve anlamak için kullanılıp kullanılmadığı açık değildir. Makak maymunlarının ventral premotor korteksinde bulunan ayna nöronları, daha düşük seviyeli algısal mekanizmalara dayanabilen, perspektiften bağımsız bir şekilde eylem anlayışını üstleniyor gibi görünmektedir. Bu amaçla, bu çalışmada, ekolojik olarak var olabilecek olan, temel eylem anlayışını ve ayna nöronu işlevini sürdürebilen yeni bir referans sistemi öneriyoruz. Bu temsilin potansiyelini, itme, dürtme, uzaklaştırma, ağzına getirme ve sağa ve sola taşıma eylemlerinden oluşan bir eylem repertuarına sahip bir üst vücut insansı robotun simülasyonu ile gösteriyoruz. Simülasyon deneyleri, temsilin, perspektiften bağımsız bir şekilde eylem tanıma, objeler üzerindeki etki tahmini için uygun olduğunu ve bu nedenle robotik uygulamalar için yapay bir ayna nöronu sistemi olarak konuşlandırılabileceğini göstermektedir
Finecloud: Fine-grained cloud service advisory using machine learning
No full textMotivated by real customer problems, we investigated utilization of cloud services at different layers including infrastructure (IaaS), application services (PaaS) and databases (DaaS). We found several issues such as forgetting about unused resources, bursty workloads and service dependencies causing under-utilization (a.k.a. over- provisioning) problem. Cloud advisory tools offered by the public providers either lack the fine-grained analysis needed for actionable recommendations or can't see the correlations among services that are used by the same customers' resource groups. We proposed an automated, near real-time advisor that utilizes historical usage data and machine learning (ML) models to recommend cost saving opportunities. We demonstrated significant cost savings averaging around 20%, which can accumulate as thousands of Dollars for large and active systems. Since our advisory models depend on time-series data, we compared several forecasting algorithms including ARIMA, LSTM and Prophet. We found LSTM model to deliver the most accurate results for our workloads
Informed consent in medical intervention
No full textHukuka uygun bir tıbbi müdahalenin ön şartı olduğu hususunda öğreti, uygulama ve mevzuatta genel kabul gören “Tıbbi Müdahalede Aydınlatılmış Rıza" konusunda hazırlanan bu çalışmada, öncelikle tıbbi müdahaleye rızanın konusunu teşkil eden tıbbi müdahaleler özellik arz eden türleri ile birlikte incelenmiştir. Tıbbi müdahale konusu tüm yönleriyle ele alındıktan sonra bu müdahalenin ön şartı olan aydınlatma konusu ele alınmış, aydınlatmanın amacı, kapsamı, yükümlüsü, muhatabı, şekli ve zamanı detaylı bir şekilde ele alınmıştır. Son kısımda ise aydınlatmaya dayalı olarak alınması gereken “tıbbi müdahaleye rıza” ile ilgili detaylı bir inceleme yapılarak, tıbbi müdahaleye rızanın hukuki niteliği ele alınmıştır. Rızayı doğrudan düzenleyen uluslararası ve ulusal mevzuat ele alınarak incelenmiş, ardından rıza konusunda çok önemli bir konu olan ehliyet konusu medeni hukuk kavramlarına ve ceza hukuku kavramlarına da başvurulmak suretiyle detaylı bir şekilde ele alınmıştır. Son olarak rızanın kapsamı, zamanı, şekli, rızayı sakatlayan haller, rızayı geri alma, esirgeme, tedaviyi reddetme hakkı ve rıza aranmayan haller ele alınarak çalışmaya son verilmiştir. Böylece bir mantıki silsile ve biri diğerinin önceli ve şartı olmak üzere, incelememiz tıbbi müdahale, aydınlatma ve tıbbi müdahaleye rıza başlıkları altında incelenerek tamamlanmıştır.In this study, which is prepared on the subject of "Information and Informed Consent in Medical Intervention", which is generally accepted in the doctrine, practice and legislation that a legal medical intervention is a prerequisite, first of all, medical interventions are required. Subjects of consent were examined together with their specific types. After all aspects of the medical intervention, the subject of illumination, which is the prerequisite of this intervention, was discussed, and the purpose, scope, responsible, addressee, form and time of the enlightement were discussed in detail. In the last part, a detailed examination of the "consent", which should be obtained based on enlightenment, was made, and first of all, the terminology was discussed in the context of the terms consent and then its legal nature was discussed. The international and national legislation that directly regulates consent has been examined, and then the issue of competence, which is a very important issue in consent, has been discussed in detail by referring to the concepts of civil law . Finally, the scope, time and form of consent, the conditions that invalidate consent, the right to withdraw consent, the right to refuse treatment, and the cases for which consent is not sought, the study was terminated. Thus, our study was completed by examining it under the headings of medical intervention, consent, as a logical sequence and one being the precedent and condition of the other
Influence of sensor density on seismic damage assessment: A case study for istanbul
No full textThe strong ground motions (GMs) recorded by strong motion networks are significant to increase the accuracy of seismic damage assessment. However, the influence of sensor density on seismic damage assessment remains unclarified. Therefore, a workflow is proposed in this study to quantitatively analyze the influence of sensor density on seismic damage assessment. The scenario-based earthquake simulation method is first used to provide the time history of GM at each location as the ground truth of the analysis. Subsequently, a GM prediction method, namely the interpolation method, is adopted to predict GMs at locations without sensors using measuring data from the limited sensors. Finally, the building scale and region scale seismic damage under different sensor densities are compared to quantitatively analyze the influence of sensor density on seismic damage assessment. A detailed case study for Zeytinburnu District, Istanbul, Turkey, is performed to demonstrate the proposed methods. The findings of this study can provide an important reference for seismic damage assessment and the deployment of strong motion networks.Tencent Foundation ; Tsinghua University ; TÜBİTAK ; National Key Research and Development Program of Chin
Development of composite cold-formed steel-rubberised concrete semi-rigid moment-resisting connections
No full textThis paper presents the development of a composite cold-formed steel (CFS)-rubberised concrete (RuC) semi-rigid moment-resisting connection suitable for framed building structures. The connection comprises built-up tubular cold-formed steel beam and column sections connected using side-plate screwed fasteners and infilled with rubberised concrete. A detailed finite element analysis validated against physical tests is employed to model both bare steel and composite beam-to-column connections subjected to lateral and gravity loadings. The governing design limit states are characterized as local buckling in bare steel beams, connection screw shear failure, and side plate plasticity. It is shown that the strength and ductility capacity of composite connections could be increased by up to 1.44 and 3.46 times, respectively, compared with those of the bare steel connections. The connection rigidity of both bare steel and composite connections can be classified as a semi-rigid joint.Royal Academy of Engineerin
Search for higgs boson pair production in the four b quark final state in proton-proton collisions at √ s = 13 TeV
No full textA search for pairs of Higgs bosons produced via gluon and vector boson fusion is presented, focusing on the four b quark final state. The data sample consists of proton-proton collisions at a center-of-mass energy of 13 TeV, collected with the CMS detector at the LHC, and corresponds to an integrated luminosity of 138 fb-1. No deviation from the background-only hypothesis is observed. A 95% confidence level upper limit on the Higgs boson pair production cross section is observed at 3.9 times the standard model prediction for an expected value of 7.8. Constraints are also set on the modifiers of the Higgs field self-coupling, κλ, and of the coupling of two Higgs bosons to two vector bosons, κ2 V. The observed (expected) allowed intervals at the 95% confidence level are -2.3<κλ<9.4 (-5.0<κλ<12.0) and -0.1<κ2 V<2.2 (-0.4<κ2 V[removed]BMBWF and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, FAPERGS, and FAPESP (Brazil); MES (Bulgaria); CERN; CAS, MoST, and NSFC (China); MINCIENCIAS (Colombia); MSES and CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); MoER, ERC 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).Publisher versio
The effects of legislation on surrogacy tourism
No full textStatistics show that one in every six couples are currently infertile. Due to new artificial reproductive techniques, infertile couples have a whole new range of possibilities to become parents. Surrogacy tourism is a type of medical tourism in which couples with infertility travel to other countries to rent wombs of surrogate woman. At present, surrogacy tourism is a multi-billion-dollar industry. One of the main reasons for surrogacy tourism is that surrogacy is not legal in some countries. It appears that legislation, ethical understanding, and concerns that human rights will be violated prevent people from benefiting from such developments while medicine continues to develop and advance. Economics also drive surrogacy tourism. Religion is also a significant factor in choosing the destination for the treatment. Infertile couples are more likely to prefer countries where their religious beliefs are respected and considered during the treatment. This paper seeks to highlight the effects of the legal provisions and precedents about surrogate motherhood on surrogacy tourism.Publisher versio
The democratic legitimacy of constituent referendum(s) in constitution-making process within the scope of turkish constituent referendum experiences
No full textThe referendum experiences of each state vary according to their democratic background, development, and welfare level. Accordingly, it becomes hard to adopt a uniformed approach towards the issue and necessitates questioning the democratic value of each practice within itself. Although a referendum is a tool for reflecting the people's will, it may not necessarily take place in every case. Constituent referendums differ from other types of referendums in that the constituent power is not bound by any rule of law. In view of this, the democratic value of the constituent referendum has been chosen to be examined in this article, rather than the democratic value of referendums in general. This article focuses on the relationship between the constituent referendum and democracy as a basis and questions whether constituent referendums are indeed a genuine tool of democratic constitution-making and whether they are sufficient to secure democratic legitimacy for the constitutions. Despite the fact that at first glance, constituent referendums tend to have their sights on a democratic goal, the practices reveal that the outcome is not necessarily in accordance with the intended goal. Particularly, the adoption of the 1961 and 1982 Turkish Constitutions has shown that this method is not sufficient in terms of ensuring democratic legitimacy. Therefore, the issue has been evaluated specifically in relation to the constituent referendums that ensured the adoption of the 1961 and 1982 Turkish Constitutions. In this study, the relationship between the constituent referendum and the constitutionmaking process is discussed in a theory-oriented manner in the first three sections, and two important case analyses selected from Turkish constitutional law are included in the following sections. As a consequence, it has been concluded that constituent referendums, when held in antidemocratic settings, are incapable of ensuring democratic legitimacy for constitutions and thus are not necessarily a genuine instrument of democratic constitution-making.Publisher versio
The voice of the consumer on sVoD systems during covid-19: A service opportunity mining approach
No full textElectronic word of mouth (e-WOM) is a vital channel for the exchange of customer-generated content. As the e-WOM messages created by consumers pile all around the Web, they generate an unbiased voice about products and services. With their high-level production in online environments, e-WOM message contributions go far beyond consumer decision-making. They become a vital source for gaining insights on designing and improving marketing offerings. The purpose of the study is to analyze service improvement opportunities for subscription-based video-on-demand (sVoD) services by exploring customer-generated eWOM messages. In addition to this, the study aims to comprehend the effects of the COVID-19 pandemic on expectations, real feelings, and attitudes of customers towards its subscription-based video-on-demand services and to compare these emotions with those in the pre-pandemic period. Acting on customer-generated e-WOM messages for sVoD services, the paper provides a real-time analysis of monitoring customer needs and wants in a fast-moving service environment with topic-based sentiment analysis. The main procedures include data extraction and pre-processing, topic modeling, sentiment analysis, and opportunity analysis. When pre-covid and post-covid sentiments are compared, it is found that all sentiment scores have decreased, except for content diversity. The rich content offered by Amazon has led subscribers to take step to post positive comments about the platform. Addtionally, the results show possible service improvement opportunities in streaming quality, TV series content selection, use of commercials, and customer value generation in sVoD service encounters. The study identifies service improvement opportunities using data mining technology, which can provide a more in-depth understanding of consumer perceptions of marketing offerings and service quality. In addition, it analyzes the perceptions of consumers toward sVoD services in times of the Covid-19 pandemic.Publisher versio