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Measurements of the Suppression and Correlations of Dijets in Xe+xe Collisions at Formula Presented Tev
No full textMeasurements of the suppression and correlations of dijets is performed using 3 µ b − 1 of Xe+Xe data at s N N = 5.44 TeV collected with the ATLAS detector at the CERN Large Hadron Collider. Dijets with jets reconstructed using the R = 0.4 anti- k t algorithm are measured differentially in jet p T over the range of 32 to 398 GeV and the centrality of the collisions. Significant dijet momentum imbalance is found in the most central Xe+Xe collisions, which decreases in more peripheral collisions. Results from the measurement of per-pair normalized and absolutely normalized dijet p T balance are compared with previous Pb + Pb measurements at s N N = 5.02 TeV. The differences between the dijet suppression in Xe+Xe and Pb + Pb are further quantified by the ratio of pair nuclear-modification factors. The results are found to be consistent with those measured in Pb + Pb data when compared in classes of the same event activity and when taking into account the difference between the center-of-mass energies of the initial parton scattering process in Xe+Xe and Pb + Pb collisions. These results should provide input for a better understanding of the role of energy density, system size, path length, and fluctuations in the parton energy loss. ©2023 CERN, for the ATLAS Collaboration.IN2P3-CNRS; CC-IN2P3; 2014-2021; SCI/013; U.S. Department of Energy, USDOE; Alexander von Humboldt-Stiftung, AvH; Alabama Space Grant Consortium, ASGC; Brookhaven National Laboratory, BNL; Canarie; Karlsruhe Institute of Technology, KIT; H2020 Marie Skłodowska-Curie Actions, MSCA; Multiple Sclerosis Scientific Research Foundation, MSSRF; CERN; Compute Canada: 21/SCI/017; Göran Gustafssons Stiftelser; Natural Sciences and Engineering Research Council of Canada, NSERC; National Research Council Canada, NRC; Canada Foundation for Innovation, CFI; Science and Technology Facilities Council, STFC; Leverhulme Trust; European Research Council, ERC; European Cooperation in Science and Technology, COST; Australian Research Council, ARC; National Stroke Foundation, NSF; Neurosurgical Research Foundation, NRF; Helmholtz-Gemeinschaft, HGF; Minerva Foundation; Deutsche Forschungsgemeinschaft, DFG; Agence Nationale de la Recherche, ANR; Japan Society for the Promotion of Science, KAKEN; Ministry of Education, Culture, Sports, Science and Technology, MEXT; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF; Danmarks Grundforskningsfond, DNRF; Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP; National Natural Science Foundation of China, NSFC; Ministerstvo Školství, Mládeže a Tělovýchovy, MŠMT; Fundação para a Ciência e a Tecnologia, FCT; Bundesministerium für Bildung und Forschung, BMBF; Chinese Academy of Sciences, CAS; Austrian Science Fund, FWF; Generalitat de Catalunya; Ministry of Science and Technology of the People's Republic of China, MOST; Agencia Nacional de Promoción Científica y Tecnológica, ANPCyT; Nederlandse Organisatie voor Wetenschappelijk Onderzoek, NWO; Bundesministerium für Wissenschaft, Forschung und Wirtschaft, BMWFW; Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq; Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science; Israel Science Foundation, ISF; Instituto Nazionale di Fisica Nucleare, INFN; Narodowe Centrum Nauki, NCN; Javna Agencija za Raziskovalno Dejavnost RS, ARRS; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja, MPNTR; Ministerio de Ciencia e Innovación, MICINN; Centre National pour la Recherche Scientifique et Technique, CNRST; Staatssekretariat für Bildung, Forschung und Innovation, SBFI; British Columbia Knowledge Development Fund, BCKDF; European Regional Development Fund, ERDF; Defence Science Institute, DSI; Narodowa Agencja Wymiany Akademickiej, NAWA; Institutul de Fizică Atomică, IFA; Agencia Nacional de Investigación y Desarrollo, ANID; Royal Society of South Australia, RSSA; Irish Rugby Football Union, IRF
Polinom Optimizasyonu ile Bir Nonlineer Dinamik Sistemsınıfı için Nonlineer Gözleyici Tasarımı
No full textIn this thesis, nonlinear observer design problem is examined for nonlinear dynamical systems having polynomial type terms using Sum Of Squares (SOS), Linear Matrix Inequalities (LMI) and Semidefinite programming (SDP) tools for state estimation problems. First, the stabiliy analysis problems are discussed in the context of optimization that is frequently in this study. A Lyapunov function is parameterized in a way that is suitable for formulating the problem of analysis as a problem of an optimization problem that contains LMI terms, affine equalities and can be solved by cone solvers such as MOSEK, PENLAB and SEDUMI. The available tools is utilized to structure the optimization problem into a form that can be solved by a cone solver. Since the problem in this form is a convex optimization problem due to the convexity of the inequalities and the affine equality constraints, this problem can be solved reliably. Using the tools that are used to construct the analysis problem as an optimization problem, the same techniques are applied to the problem of input-to-state stabiliy (ISS) analysis problem. Using the constraints that are imposed on the ISS-Lyapunov function, this analysis problem can also be formulated in a way that is similar to asymptotical stabiliy problems. ISS analysis problem is pertinent to this study in that there is a connection between observer synthesis problem and ISS analysis problem since the observer needs to satisfy constraints that are similar to the constraints imposed on an ISS-Lyapunov function. The observer synthesis problem can be directly formulated as a nonlinear control design problem with disturbance rejection requirements in that the disturbance in that new problem is state estimate terms. Using this, the problem can be expressed as an optimization problem having bilinear terms. Due to the structure present in this optimization problem, using differentiation through optimization problem algorithms, one can optimize the parameters of a nonlinear observer. This process is easy to express and straightforward to implement. The results of the study is given and stabiliy certificates are constructed using convex optimization algorithms.Bu tezde, durum tahmin problemleri için Kareler Toplamı (SOS), Lineer Matriks Eşitsizlikler (LMI) ve Yarı Kesin Programlama (SDP) araçları kullanılarak polinom tipi terimlere sahip doğrusal olmayan dinamik sistemler için doğrusal olmayan gözlemci tasarım problemi incelenmiştir. İlk olarak, kararlılık analizi problemleri bu çalışmada sıklıkla kullanılan optimizasyon bağlamında ele alınmıştır. Bir Lyapunov fonksiyonu, analiz problemini LMI terimlerini, lineer eşitliklerini içeren ve MOSEK, PENLAB ve SEDUMI gibi koni çözücülerle çözülebilen bir optimizasyon problemi olarak formüle etmeye uygun bir şekilde parametreleştirilir. Mevcut araçlar, optimizasyon problemini bir koni çözücü tarafından çözülebilecek bir biçimde yapılandırmak için kullanılır. Bu formdaki problem, eşitsizliklerin dışbükeyliği ve lineer eşitlik kısıtlamaları nedeniyle bir dışbükey optimizasyon problemi olduğundan, bu problem güvenilir bir şekilde çözülebilir. Analiz problemini bir optimizasyon problemi olarak ifade etmek için kullanılan araçlar ile, aynı teknikler, girdi-durum kararlılığı (ISS) analiz problemi ifadesine uygulanır. ISS-Lyapunov fonksiyonuna uygulanan kısıtlamalar kullanılarak, bu analiz problemi de asimptotik kararlılık problemlerine benzer bir şekilde formüle edilebilir. ISS analiz problemi, gözlemcinin bir ISS-Lyapunov işlevine dayatılan kısıtlamalara benzer kısıtlamaları karşılaması gerektiğinden, gözlemci sentez problemi ile ISS analiz problemi arasında bir bağlantı olduğu için, bu çalışmayla ilgilidir. Gözlemci sentez problemi, bu yeni problemdeki bozucu sinyalin, durum tahmini terimleri olduğu, bozucu bastırımı isterleri ile doğrusal olmayan bir kontrol tasarım problemi olarak doğrudan formüle edilebilir. Bunu kullanarak, problem, çift doğrusal terimlere sahip bir optimizasyon problemi olarak ifade edilebilir. Bu optimizasyon probleminde bulunan yapı nedeniyle, optimizasyon problemi algoritmaları aracılığıyla türev alma kullanılarak, doğrusal olmayan bir gözlemcinin parametreleri optimize edilebilir. Bu işlemin ifade edilmesi ve uygulanması sistematiktir. Çalışmanın sonuçları verilmiş ve dışbükey optimizasyon algoritmaları kullanılarak kararlılık sertifikaları oluşturulmuştur
Iraqi Refugees in the United States: Self-Sufficiency and Responsibilization in the Vicious Cycle of Integration
No full textIn the literature on forced migration, little is known about the experiences of Iraqi refugees resettled in the United States through the US Refugee Admissions, Reception and Placement Program. As part of its longstanding refugee resettlement policy, the United States has accepted and provided safe haven to thousands of refugees. Focusing primarily on the situation of Iraqis resettled in Arizona since the 1990s, this research uses interview findings and first-hand data to examine various aspects of their post-resettlement experiences through a meta-theoretical approach that includes aspects of humanitarian governance, adaptation, acculturation and integration. Building on this theoretical understanding, this book examines the process from the first moment of resettlement to integration as a multi-layered social reality and reveals the fundamental impact of forced migration on the ‘politics of refugee life’. By examining the US resettlement program in relation to the role and functions of resettlement agencies and non-profit organizations in collaboration with the government, this book highlights the fundamental difference between refugee integration and migrant integration, introduces new concepts of integration, discusses the US refugee admissions, reception and placement program and refugee integration in relation to the organization of humanitarian governance globally, and offers recommendations for improving resettlement and integration processes. © The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023
Determination of Diversity of Actinomycete in Forest Soil Subject To Different Blood Groups; Classical Approaches Before Metagenomic
No full textObjective: Forensic microbiology is the developing field of forensic science. Forensic microbiologist can use trace evidence to match people to crime scenes, to investigate bioterrorism incidents, and to determine cause and time of death. In recent years, important studies on the environmental microbiota have been carried out. These studies can be associated with many legally valuable data as well as being related to the microbiota of environmental events. Actinobacteria are gram-positive micelle bacteria with enormous diversity, common in soil, and have high economic value. So far 47 families and 711 species of Actinobacteria were isolated and identified in variety of habitats. Increasing forensic studies in recent years show that microbial profiles can be used as evidence. Methods: In this study, actinobacteria were isolated from forest soil samples exposed to eight different blood groups for two weeks and control group. Genomic DNA isolation from colonies selected by considering comparative colony morphology, PCR amplification targetted 16S rRNA and sequence analysis were carried. Results: A total of five Actinobacteria type bacteria (three Micromonospora sp., one is Streptomyces sp., and one Actinomadura sp.) were obtained from the soil samples mixed with the B Rh (+) blood group in the 7th day. No Actinobacteria growth was observed neither in the control group nor in the soils to which other blood groups were added. According to the p-distance values of all isolates, they were determined as subspecies rather than a new species. Conclusion: This is a preliminary study to identify bacterial communities that may be present and differ in soil exposed to blood. The inability to isolate Actinobacteria from most of the soil samples may be due to the chemical or enzymatical properties of the bloods that can degrade the bacterial spores. In the further studies, different media and genomic techniques should be tried in different types of soils. © (2023), (Refik Saydam National Public Health Agency (RSNPHA)). All Rights Reserved.FBE19004.20.011The authors wish to thank Başkent University Head of Department Prof. Dr. Özlem Darcansoy İşeri and all BU Molecular Biology and Genetics Department faculty members and assistants. We would also like to thank Hitit University Scientific Research Projects Coordinator for their support within the scope of the project numbered FBE19004.20.011
Condition Monitoring and Remaining Useful Life Prediction for Tool Wear in Cnc Machines
No full text10th International Conference on Future Internet of Things and Cloud, FiCloud 2023 -- 14 August 2023 through 16 August 2023 -- 196960In this study, a cutting tool condition monitoring (TCM) platform for CNC machines to be used in metal part manufacturing is proposed to estimate the remaining useful life (RUL) of machine cutting tools. For this purpose, operational and situational data obtained from CNC machine and sensors will be analyzed with artificial intelligence algorithms, anomalies will be detected, and total equipment performance will be supported by using remaining life estimates.The innovative side of the system is the development of an artificial intelligence application that includes classification and regression methods with artificial neural networks. The use of RUL concept is relatively limited in the literature, but general interest by the industry is high. It will be among the first applications that machinery and machine cutting tools will be monitored and remaining useful life estimation will be made as an important contribution in the field.In the literature, examples that predict RUL of system are not included in the state monitoring of machine and machine cutting tools and in TCM applications. In our research, classification, and regression models and three different artificial neural network algorithms will be compared by using RUL estimation results that can be widely used and have a high impact potential, and corresponding studies will be carried out for the use of industry and increasing efficiency in the manufacturing sector. © 2023 IEEE
Cumhuriyet Döneminde İstiklal Marşı: Rağbet Görmeyen Millî Marş Yarışmaları, Üniversite Gençliği, Şehitler Abidesi Tasavvuru Ve Birlik Gazetesi
No full text[No Abstract Available
Rassal Kaynak Gereksinimli Paralel Proje Çizelgeleme ve İnsan Kaynagi Atama Problemi için Kaynak Maliyet Minimizasyonu Modeli Gelistirilmesi ve Analizi
No full textIn today's world, effective project management is an important subject matter for almost all companies. The two most important aspects of project management are project scheduling and allocation of human resources. In this study, a two-staged stochastic optimization problem, including simultaneous project scheduling and resource allocation problems is discussed. In the first stage, the project activities, whose workforce are considered stochastic, are scheduled along the project planning horizon, while in the second stage, resource assignments are made to these activities. If the required workforce for certain activities exceeds the capacities of internal resources, external human resources are used. With the proposed mathematical model, it is aimed to minimize the expected costs of the external human resources used. Within the scope of the problem, two scenarios are considered. In the first scenario, partial assignment of activities are not accepted. Thus, the decision variable that controls whether the project activities are assigned in a certain period is accepted as binary. In the second scenario, partial assignment of activities are accepted. In this case, corresponding decision variable is accepted as float. For both cases, the required workforce for activities are considered stochastic and the probability distributions are considered as both uniform and triangular. The data set designed in MATLAB, is tested with Constraint Programming (CP) Optimizer in CPLEX OPL environment and different sensitivity analyses for both mathematical models are presented.Etkili proje yönetimi, günümüzde neredeyse tüm şirketler için önemli bir konudur. Proje yönetiminin en önemli iki aşaması da proje çizelgeleme ve insan kaynağının bu çizelgeye göre atanmasıdır. Bu çalışma kapsamında, paralel proje çizelgeleme ve kaynak atama problemlerini içeren iki aşamalı bir stokastik optimizasyon problemi ele alınmıştır. İlk aşamada, gerektireceği iş gücü stokastik kabul edilen proje aktivitelerinin, proje planlama ufku boyunca çizelgelenmesi yapılırken ikinci aşamada ise bu aktivitelere insan kaynağı atamaları gerçekleştirilmektedir. Oluşturulan matematiksel model ile, iç kaynakların atamalarının yetersiz kaldığı durumlarda gereken yeteneklere bağlı olarak dışarıdan alınan kaynakların maliyetinin minimizasyonu hedeflenmektedir. Problem kapsamında, ilk senaryoda proje aktivitelerinin kısmi atanmasına, yani aktivitelerin birden fazla periyoda bölünmesine izin verilmezken incelenen ikinci senaryoda ise kısmi atamaya izin verilmektedir. Bu sebeple, proje aktivitelerinin belirli bir periyotta atanıp atanmadığını kontrol eden karar değişkeni, hem ikili hem de sürekli tipte karar değişkeni olarak kabul edilerek iki ayrı ek kaynak maliyet minimizasyon modeli geliştirilmiştir. Her iki senaryo için de proje aktivitelerinin gerektireceği iş miktarları rassal olarak kabul edilmekte ve bu parametrenin dağılımı hem düzgün hem de üçgen dağılım olarak kabul edilmektedir. MATLAB ile oluşturulan veri setleri, IBM CPLEX OPL CP Optimizer (Kısıt Programlama Motoru) kullanılarak oluşturulan matematiksel model ile test edilmiştir ve iki modelle ilgili farklı hassasiyet analizleri yapılarak çıkarımlar yapılmıştır
Measurement of Zγγ Production in Pp Collisions at √s=13 Tev With the Atlas Detector
No full textCross-sections for the production of a Z boson in association with two photons are measured in proton–proton collisions at a centre-of-mass energy of 13 TeV. The data used correspond to an integrated luminosity of 139 fb - 1 recorded by the ATLAS experiment during Run 2 of the LHC. The measurements use the electron and muon decay channels of the Z boson, and a fiducial phase-space region where the photons are not radiated from the leptons. The integrated Z(→ ℓℓ) γγ cross-section is measured with a precision of 12% and differential cross-sections are measured as a function of six kinematic variables of the Zγγ system. The data are compared with predictions from MC event generators which are accurate to up to next-to-leading order in QCD. The cross-section measurements are used to set limits on the coupling strengths of dimension-8 operators in the framework of an effective field theory. © 2023, The Author(s).IN2P3-CNRS; 2014-2021; SCI/013; U.S. Department of Energy, USDOE; Alexander von Humboldt-Stiftung, AvH; CRC Health Group, CRC: 21/SCI/017; Canarie; H2020 Marie Skłodowska-Curie Actions, MSCA; Multiple Sclerosis Scientific Research Foundation, MSSRF; CERN; Compute Canada; Göran Gustafssons Stiftelser; Natural Sciences and Engineering Research Council of Canada, NSERC; National Research Council Canada, NRC; Canada Foundation for Innovation, CFI; Science and Technology Facilities Council, STFC; Leverhulme Trust; European Research Council, ERC; European Cooperation in Science and Technology, COST; Australian Research Council, ARC; National Stroke Foundation, NSF; Neurosurgical Research Foundation, NRF; Helmholtz-Gemeinschaft, HGF; Minerva Foundation; Deutsche Forschungsgemeinschaft, DFG; Agence Nationale de la Recherche, ANR; Japan Society for the Promotion of Science, KAKEN; Ministry of Education, Culture, Sports, Science and Technology, MEXT; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF; Danmarks Grundforskningsfond, DNRF; Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP; National Natural Science Foundation of China, NSFC; Ministerstvo Školství, Mládeže a Tělovýchovy, MŠMT; Fundação para a Ciência e a Tecnologia, FCT; Bundesministerium für Bildung und Forschung, BMBF; Chinese Academy of Sciences, CAS; Austrian Science Fund, FWF; Generalitat de Catalunya; Ministry of Science and Technology of the People's Republic of China, MOST; Agencia Nacional de Promoción Científica y Tecnológica, ANPCyT; Nederlandse Organisatie voor Wetenschappelijk Onderzoek, NWO; Bundesministerium für Wissenschaft, Forschung und Wirtschaft, BMWFW; Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq; Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science; Israel Science Foundation, ISF; Instituto Nazionale di Fisica Nucleare, INFN; Narodowe Centrum Nauki, NCN; Javna Agencija za Raziskovalno Dejavnost RS, ARRS; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja, MPNTR; Ministerio de Ciencia e Innovación, MICINN; Centre National pour la Recherche Scientifique et Technique, CNRST; Staatssekretariat für Bildung, Forschung und Innovation, SBFI; Horizon 2020; British Columbia Knowledge Development Fund, BCKDF; European Regional Development Fund, ERDF; Defence Science Institute, DSI; Narodowa Agencja Wymiany Akademickiej, NAWA; Institutul de Fizică Atomică, IFA; Agencia Nacional de Investigación y Desarrollo, ANID; Royal Society of South Australia, RSSA; Irish Rugby Football Union, IRFUWe thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; Minciencias, Colombia; MEYS CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF and MPG, Germany; GSRI, Greece; RGC and Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZŠ, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TENMAK, Türkiye; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, Compute Canada and CRC, Canada; PRIMUS 21/SCI/017 and UNCE SCI/013, Czech Republic; COST, ERC, ERDF, Horizon 2020 and Marie Skłodowska-Curie Actions, European Union; Investissements d’Avenir Labex, Investissements d’Avenir Idex and ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and MINERVA, Israel; Norwegian Financial Mechanism 2014-2021, Norway; NCN and NAWA, Poland; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain; Göran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (UK) and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in Ref. []
