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Measurement of the Inclusive tt¯ Cross Section in Final States with at Least One Lepton and Additional Jets with 302 pb−1 of pp Collisions at s = 5.02 TeV
No full textA measurement of the top quark pair (tt¯) production cross section in proton-proton collisions at a centre-of-mass energy of 5.02 TeV is presented. The data were collected at the LHC in autumn 2017, in dedicated runs with low-energy and low-intensity conditions with respect to the default configuration, and correspond to an integrated luminosity of 302 pb−1. The measurement is performed using events with one electron or muon, and multiple jets, at least one of them being identified as originating from a b quark (b tagged). Events are classified based on the number of all reconstructed jets and of b-tagged jets. Multivariate analysis techniques are used to enhance the separation between the signal and backgrounds. The measured cross section is 62.5±1.6stat−2.5+2.6syst±1.2lumi pb. A combination with the result in the dilepton channel based on the same data set yields a value of 62.3 ± 1.5 (stat) ± 2.4 (syst) ± 1.2 (lumi) pb, to be compared with the standard model prediction of 69.5−3.7+3.5 pb at next-to-next-to-leading order in perturbative quantum chromodynamics. © 2025 Elsevier B.V., All rights reserved
Angular Analysis of the B0 → K*(892)0μ+μ- Decay in Proton-Proton Collisions at √s=13 TeV
No full textTapper, Alexander/0000-0003-4543-864X; Hall, Geoffrey/0000-0002-6299-8385;A full set of optimized observables is measured in an angular analysis of the decay B-0 -> K*(892)(0)mu(+)mu(-) using a sample of proton-proton collisions at root s = 13 TeV, collected with the CMS detector at the LHC, corresponding to an integrated luminosity of 140 fb(-1). The analysis is performed in six bins of the squared invariant mass of the dimuon system, q(2), over the range 1.1 < q(2) < 16 GeV2. The results are among the most precise experimental measurements of the angular observables for this decay and are compared to a variety of predictions based on the standard model. Some of these predictions exhibit tension with the measurements.FWF; FNRS; FWO (Belgium); CNPq; CAPES; FAPERJ; FAPERGS; FAPESP (Brazil); BNSF (Bulgaria); MOST; NSFC (China); CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); ERC PRG [MoER TK202]; Academy of Finland; MEC; CEA; CNRS/IN2P3 (France); SRNSF; BMBF; DFG; HGF (Germany); NKFIH (Hungary); DAE; DST; SFI (Ireland); INFN (Italy); NRF (Republic of Korea); MES (Latvia); MOE; UM (Malaysia); UASLP-FAI (Mexico); PAEC (Pakistan); FCT (Portugal); MESTD (Serbia); PCTI (Spain); Swiss Funding Agencies (Switzerland); NSTDA; TUBITAK; NASU (Ukraine); NSF (USA); Marie-Curie programme; European Research Council; Horizon 2020 Grant [675440, 724704, 752730, 758316, 765710, 824093, 101115353, 101002207]; COST Action [CA16108]; Leventis Foundation; Alfred P. Sloan Foundation; Alexander von Humboldt Foundation; Science Committee [22rl-037]; Belgian Federal Science Policy Office; Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-Belgium); FWO (Belgium) under the "Excellence of Science -EOS [30820817]; Beijing Municipal Science & Technology Commission [Z191100007219010]; Fundamental Research Funds for the Central Universities (China); Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; Shota Rustaveli National Science Foundation [FR-22-985]; Deutsche Forschungsgemeinschaft (DFG) [EXC 2121, 400140256 -GRK2497]; Hellenic Foundation for Research and Innovation (HFRI) [2288]; Hungarian Academy of Sciences [K 131991, K 133046, K 138136, K 143460, K 143477, K 146913, K 146914, K 147048, 2020-2.2.1-ED-2021-00181, TKP2021-NKTA-64, 2021-4.1.2-NEMZ_KI]; Council of Science and Industrial Research, India - NextGenerationEU program (Italy); Latvian Council of Science; Ministry of Education and Science [2022/WK/14]; National Science Center [Opus 2021/41/B/ST2/01369, 2021/43/B/ST2/01552]; Fundacao para a Ciencia e a Tecnologia [CEECIND/01334/2018]; National Priorities Research Program by Qatar National Research Fund [MCIN/AEI/10.13039/501100011033]; ERDF "a way of making Europe'' [MDM-2017-0765]; Programa Severo Ochoa del Principado de Asturias (Spain); National Science, Research and Innovation Fund via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation [B39G670016]; Kavli Foundation; Nvidia Corporation; 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 and other centers 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, the CMS detector, and the supporting computing infrastructure provided by the following funding agencies: SC (Armenia), 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); ERC PRG, RVTT3 and MoER TK202 (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); SRNSF (Georgia); BMBF, DFG, and HGF (Germany); GSRI (Greece); NKFIH (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP and NRF (Republic of Korea); MES (Latvia); LMTLT (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, Conahcyt, LNS, SEP, and UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MES and NSC (Poland); FCT (Portugal); MESTD (Serbia); MCIN/AEI and PCTI (Spain); MoSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); MHESI and NSTDA (Thailand); TUBITAK and TENMAK (Turkey); NASU (Ukraine); STFC (United Kingdom); DOE and NSF (USA). 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, 101115353, 101002207, and COST Action CA16108 (European Union); the Leventis Foundation; the Alfred P. Sloan Foundation; the Alexander von Humboldt Foundation; the Science Committee, project no. 22rl-037 (Armenia); the Belgian Federal Science Policy Office; the Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-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 and Fundamental Research Funds for the Central Universities (China); the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Shota Rustaveli National Science Foundation, grant FR-22-985 (Georgia); the Deutsche Forschungsgemeinschaft (DFG), among others, under Germany's Excellence Strategy -EXC 2121 "Quantum Universe'' -390833306, and under project number 400140256 -GRK2497; the Hellenic Foundation for Research and Innovation (HFRI), Project Number 2288 (Greece); the Hungarian Academy of Sciences, the New National Excellence Program -UNKP, the NKFIH research grants K 131991, K 133046, K 138136, K 143460, K 143477, K 146913, K 146914, K 147048, 2020-2.2.1-ED-2021-00181, TKP2021-NKTA-64, and 2021-4.1.2-NEMZ_KI (Hungary); the Council of Science and Industrial Research, India; ICSC -National Research Centre for High Performance Computing, Big Data and Quantum Computing and FAIR -Future Artificial Intelligence Research, funded by the NextGenerationEU program (Italy); the Latvian Council of Science; the Ministry of Education and Science, project no. 2022/WK/14, and the National Science Center, contracts Opus 2021/41/B/ST2/01369 and 2021/43/B/ST2/01552 (Poland); the Fundacao para a Ciencia e a Tecnologia, grant CEECIND/01334/2018 (Portugal); the National Priorities Research Program by Qatar National Research Fund; 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 Chulalongkorn Academic into Its 2nd Century Project Advancement Project, and the National Science, Research and Innovation Fund via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation, grant B39G670016 (Thailand); the Kavli Foundation; the Nvidia Corporation; the Super-Micro Corporation; the Welch Foundation, contract C-1845; and the Weston Havens Foundation (USA).Science Citation Index Expande
Evaluation of the Effects of Dietitian Services Provided to Patients Receiving Home Healthcare Services from İstanbul Metropolitan Municipality (İMM) on Their Nutritional Status
No full textİstanbul Büyükşehir Belediyesi (İBB) Güzeltepe ve Edirnekapı birimlerinde evde sağlık hizmeti alan hastalara verilen diyetisyenlik hizmetinin, hastaların beslenme durumu üzerindeki etkilerini değerlendirmek amacıyla yapılan bu çalışma, 22 erkek (%34,92) ve 41 kadın (%65,08) olmak üzere toplam 63 gönüllü katılımcı ile yürütülmüştür. Araştırmada, katılımcıların aldıkları enerji ve makro besin ögelerini belirleyebilmek amacıyla 24 saatlik besin tüketim kaydı ile temel Günlük Yaşam Aktiviteleri (GYA) bağımsızlık düzeylerini ölçmek için Modifiye Barthel İndeksi (MBI) ve beslenme durumu değerlendirmesi, malnütrisyon seviyesinin tespiti için ise Mini Nütrisyonel Değerlendirme (MNA) uygulanmıştır. MNA skorunda ilk ölçümde medyan 22 (12-25,5) ve ortalama 21,14 ± 3,33 iken, son ölçümde medyan 24 (14,5-27) ve ortalama 23,12 ± 3,11 olarak istatistiksel anlamlı bir artış gözlemlenmiştir. Bununla birlikte, MBI kategorilerindeki bağımlılık düzeylerine göre dağılımlar arasında anlamlı bir fark bulunmamıştır. Beslenme durumları incelendiğinde her iki cinsiyette de başlangıçta enerji ve karbonhidrat tüketimin önerilenin üzerinde olduğu, son ölçümlerde ise enerji ve karbonhidrat tüketiminin azaldığı ve protein ile yağ miktarlarının arttığı yani enerji veren besin ögeleri miktar ve oranlarının dengelendiği görülmüştür. Ayrıca, MNA farkı ile proteinden gelen enerji (kkal) ve tüketilen protein miktarı (g) farkı arasında istatistiksel açıdan zayıf pozitif bir ilişki bulunmuştur (her iki değer aynı olup, r = 0,278; p = 0,028). MNA puanları ile su tüketim miktarı (ml) farkı arasında da istatistiksel zayıf pozitif bir ilişki gözlemlenmiştir (r = 0,281; p = 0,026). Bu çalışmanın sonucunda evde sağlık hizmeti alan hastalara sunulan diyetisyenlik hizmetinin, hastaların beslenme durumu üzerinde anlamlı ve olumlu etkiler sağladığı gözlemlenmiş olup, bu konuda yapılacak yeni çalışmalara ihtiyaç vardır.This study was conducted to evaluate the effects of dietetic services on the nutritional status of patients receiving home health care at the Istanbul Metropolitan Municipality (IMM) Güzeltepe and Edirnekapı units. A total of 63 voluntary participants, comprising 22 men (34.92%) and 41 women (65.08%), were included in the study. To assess participants' energy and macronutrient intake, a 24-hour dietary recall was utilized. Additionally, the Modified Barthel Index (MBI) was applied to determine the level of independence in Basic Activities of Daily Living (ADL), while the Mini Nutritional Assessment (MNA) was used to evaluate nutritional status and determine malnutrition levels. In the initial assessment, the median MNA score was 22 (12–25.5), with a mean of 21.14 ± 3.33, whereas in the final assessment, the median score increased to 24 (14.5–27), with a mean of 23.12 ± 3.11, indicating a statistically significant improvement. However, no significant difference was found in the distribution of dependency levels across MBI categories. An analysis of nutritional status revealed that, at baseline, both male and female participants had energy and carbohydrate intake levels exceeding recommended values. In the final assessment, energy and carbohydrate intake decreased, while protein and fat intake increased, leading to a more balanced distribution of energy-providing nutrients. Furthermore, a weak positive correlation was found between the difference in MNA scores and the difference in energy (kcal) derived from protein and protein intake (g) (both values: r = 0.278; p = 0.028). A weak positive correlation was also observed between the difference in MNA scores and the difference in water intake (ml) (r = 0.281; p = 0.026). In conclusion, this study demonstrated that dietetic services provided to patients receiving home health care had a significant and positive impact on their nutritional status. However, further research in this area is warranted
Application of Nanofluids for Performance Improvement of Plate Heat Exchangers: A Comprehensive Review
No full textThe demand for efficient thermal management in industries has driven research into nanofluids (NFs) as potential replacements for conventional heat transfer fluids (HTFs) in plate heat exchangers (PHEs). A key challenge is achieving higher heat transfer rates (HTRs) while minimizing pressure drop, which is crucial for improving energy efficiency in industrial processes. NFs are categorized into two types: simple (mono) NFs, such as single-walled (SWCNTs) and multi-walled carbon nanotubes (MWCNTs) dispersed in base fluids, and hybrid NFs, which combine multiple nanoparticles to enhance performance. Studies show that mono NFs improve thermal conductivity, increasing heat transfer coefficients by 6.18%–16.79%. However, their high viscosity and pressure drop remain challenges. In contrast, hybrid NFs demonstrate superior thermal performance, with heat transfer coefficient improvements of up to 39.16% and only a slight increase in pumping power. This suggests they offer an optimal balance between heat transfer enhancement and operational cost efficiency. Critical factors influencing performance include operating parameters, particle concentration, inlet temperature, and flow rate. Future research should explore nanoparticle shape and size through experimental and numerical studies, along with long-term stability and cost-effectiveness in industrial applications. Addressing these areas could unlock NFs' potential to revolutionize heat exchanger technology, leading to more efficient and sustainable thermal systems. © 2025 Elsevier B.V., All rights reserved
The Role of Nanotechnology and Artificial Intelligence in Optimizing Thermal Energy Systems
No full textThe growing demand for clean energy and the limitations of conventional thermal systems necessitates the integration of advanced technologies to enhance efficiency, adaptability, and sustainability. This review critically examines recent advancements in the application of nanotechnology and artificial intelligence for optimizing thermal energy systems, including solar collectors, heat exchangers, and latent heat storage units. Nanotechnology (particularly the use of nano-enhanced phase change materials and nanofluids such as Al2O3 and CuO) has shown to improve thermal conductivity by up to 28.8 %, accelerating energy absorption and storage rates. Concurrently, artificial intelligence algorithms, especially artificial neural networks and particle swarm optimization, enable predictive modelling, real-time system control, and fault detection, with some models achieving prediction accuracies above 97 % under complex operational conditions. The review emphasizes the synergistic potential of combining these technologies to create intelligent, self-regulating thermal energy systems. However, the paper also identifies critical challenges including computational overhead, cost of nanoparticle synthesis, lack of reproducibility in artificial intelligence implementations, and insufficient validation under extreme scenarios. Commercial deployment case studies (such as artificial intelligence-driven phase change material-based heating, ventilation, and air conditioning systems in smart buildings) are discussed to illustrate practical viability, reporting energy savings of up to 28 % with return-on-investment periods under three years. The paper concludes by proposing integrated research directions that combine multiscale material innovation with robust artificial intelligence training on dynamic datasets. This dual approach is essential to developing scalable, cost-effective, and resilient thermal energy systems capable of supporting global energy transitions.Science Citation Index Expande
Model-Agnostic Search for Dijet Resonances with Anomalous Jet Substructure in Proton-Proton Collisions at S=13 TeV
No full textLipton, Ronald/0000-0002-6665-7289; Hernandez Calama, Jose Maria/0000-0001-6436-7547; Klyukhin, Vyacheslav/0000-0002-8577-6531; Singh, Jasbir/0000-0001-9029-2462; Diaz, Daniel/0000-0001-6834-1176; Legger, Federica/0000-0003-1400-0709; Sculac, Ana/0000-0001-7938-7559; Dozen, Candan/0000-0002-4301-634X; Karneyeu, Anton/0000-0001-9983-1004; Wittich, Peter/0000-0002-7401-2181; You, Zhengyun/0000-0001-8324-3291; Garcia, Francisco/0000-0002-4023-7964; Azzi, Patrizia/0000-0002-3129-828X; Heredia De La Cruz, Ivan/0000-0002-8133-6467; Sharma, Ashish/0000-0002-0688-923X; Reichert, Joseph/0000-0003-2110-8021; Gutsche, Oliver/0000-0002-8015-9622; Usai, Emanuele/0000-0001-9323-2107; Selvaggi, Michele/0000-0002-5144-9655; Tornago, Marta/0000-0001-6768-1056; De Moor, Alexandre/0000-0001-5964-1935; Tytgat, Michael/0000-0002-3990-2074; Krintiras, Georgios Konstantinos/0000-0002-0380-7577; Duarte, Javier Mauricio/0000-0002-5076-7096; Wilson, Jonathan/0000-0002-5672-7394; Ferencek, Dinko/0000-0001-9116-1202; Holmes, Tova/0000-0002-3959-5174; Ecklund, Karl/0000-0002-6976-4637; Papageorgakis, Christos/0000-0003-4548-0346; De La Cruz Burelo, Eduard/0000-0002-7469-6974; Ivanov, Andrew/0000-0002-9270-5643; Zhang, Yousen/0000-0002-6812-761X; Bortignon, Pierluigi/0000-0002-5360-1454; Kunnawalkam Elayavalli, Raghav/0000-0002-9202-1516; Fouz Iglesias, Maria Cruz/0000-0003-2950-976X; Kyberd, Paul/0000-0002-7353-7090; Bruschini, Davide/0000-0001-7248-2967; Delgado Peris, Antonio/0000-0002-8511-7958; /0000-0002-6047-4211; Colaleo, Anna/0000-0002-0711-6319; D'Enterria, David/0000-0002-5754-4303; Geurts, Frank/0000-0003-2856-9090;This paper presents a model-agnostic search for narrow resonances in the dijet final state in the mass range 1.8-6 TeV. The signal is assumed to produce jets with substructure atypical of jets initiated by light quarks or gluons, with minimal additional assumptions. Search regions are obtained by utilizing multivariate machine-learning methods to select jets with anomalous substructure. A collection of complementary anomaly detection methods-based on unsupervised, weakly supervised, and semisupervised algorithms-are used in order to maximize the sensitivity to unknown new physics signatures. These algorithms are applied to data corresponding to an integrated luminosity of 138 fb-1, recorded by the CMS experiment at the LHC, at a center-of-mass energy of 13 TeV. No significant excesses above background expectations are seen. Exclusion limits are derived on the production cross section of benchmark signal models varying in resonance mass, jet mass, and jet substructure. Many of these signatures have not been previously sought, making several of the limits reported on the corresponding benchmark models the first ever. When compared to benchmark inclusive and substructure-based search strategies, the anomaly detection methods are found to significantly enhance the sensitivity to a variety of models.SC; FWF; FNRS; FWO (Belgium); CNPq; CAPES; FAPERJ; FAPERGS; FAPESP (Brazil); BNSF (Bulgaria); MoST; NSFC (China); CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador) [MoER TK202]; ERC PRG; Academy of Finland; MEC; CEA; CNRS/IN2P3 (France); SRNSF; BMBF; DFG; HGF (Germany); NKFIH (Hungary); DAE; DST; IPM; SFI (Ireland); INFN (Italy); NRF (Republic of Korea); MES (Latvia); MOE; UM (Malaysia); BUAP; CONACYT; UASLP-FAI (Mexico); PAEC (Pakistan); FCT (Portugal); MESTD (Serbia); PCTI (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); NSTDA; TUBITAK; DOE; NSF (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 and other centers 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, the CMS detector, and the supporting computing infrastructure provided by the following funding agencies: SC (Armenia), 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); ERC PRG, RVTT3 and MoER TK202 (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); SRNSF (Georgia); BMBF, DFG, and HGF (Germany); GSRI (Greece); NKFIH (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP and NRF (Republic of Korea); MES (Latvia); LMTLT (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MES and NSC (Poland); FCT (Portugal); MESTD (Serbia); MCIN/AEI and PCTI (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); MHESI and NSTDA (Thailand); TUBITAK and TENMAK (Turkey); NASU (Ukraine); STFC (United Kingdom); DOE and NSF (USA).Science Citation Index Expande
Türk Sinemasında Film Müziği Besteciliği
No full textFilm müzikleri, sinema izleyicisi ile sahneler arasındaki bağı kuvvetlendiren, sahneleri öne çıkartan ve filmin akılda kalıcılığını arttırmasını sağlamaktadır. Bu durumda film müziklerinin özgünlüğünün ve film müziği besteciliğinin öne çıkması kaçınılmaz olmuştur. Film müziklerinin ait olduğu filme özgü, konuya, zamana ve mekâna ilişkin olarak bestelenmesi, izleyiciler üzerindeki etkiyi arttırmaktadır. Bu tez çalışmasının ikinci bölümünde, Türk sinemasında film müziği besteciliğinin önemi üzerine araştırmalar yapılmış, film müziklerinin Dünya sineması ve Türk sinemasındaki gelişim süreçleri, önemi ve işlevlerinden bahsedilmiş, sesli sinema ve sessiz sinema dönemlerindeki gelişmeler sunulmuştur. Çalışmanın üçüncü bölümünde sinemanın Türkiye'ye gelişi, sesli ve sessiz sinema dönemi incelenmiştir. Dördüncü bölümde film müziklerinin film sahnelerindeki destekleyici rolü ele alınmıştır. Sahne ve senaryoya uygun bestelenen özgün film müziklerinin, Türkiye'de az kullanılmasının nedenleri sorgulanmıştır. Beşinci bölümde ise 50'li yıllardan, 80'li yıllara kadar film müziklerinin gelişimi, Türk sinemasında, film müziği besteciliği konusundaki çalışmalar incelenmiş, Türk film müziği bestecileri üzerinde araştırmalar yapılmış ve bu alandaki önemli besteciler tespit edilmiştir. Altıncı bölümde ise film müziğinin besteciliği, Dünyada ve Türkiye'deki yapısı, bestecilerin özgün film müziği yapımında, film için yapacakları besteleri oluştururken, nasıl bir yol izledikleri ve bu süreçte karşılaştıkları sorunlara değinilmiştir. Film müziğinin bestelenme aşamasındaki süreçleri incelenmiştir. Bu araştırma, Türk sinemasında film müziği besteciliğinin durumu ele alınarak, özgün film müziklerinin sinemadaki önemini vurgulamak amaçlanmıştır.Film soundtracks strengthen the bond between the cinema audience and the scenes, highlight the scenes and increase the memorability of the film. In this case, the originality of the soundtrack and the composition of the soundtrack came to the fore. The fact that the soundtracks are composed specific to the film they belong to, related to the subject, time, and place increases the effect on the audience. In the second part of this thesis, research has been done to show the significance of film music composition in Turkish cinema, the development processes, importance and functions of film soundtracks in world cinema and Turkish cinema are mentioned, and the developments in the sound cinema and silent cinema periods are presented. In the third part of the study, the arrival of cinema in Turkey and the period of sound and silent cinema are examined. In the fourth chapter, the supporting role of the soundtracks in the movie scenes is discussed. The reasons for the low use of original soundtracks composed in accordance with the stage and scenario in Turkey were questioned. In the fifth chapter, the development of film music from the 50s to the 80s, studies on film music composition in Turkish cinema were examined, researches were made on Turkish film music composers and important composers in this field were identified. In the sixth chapter, the composition of the soundtrack, its structure in the world and in Turkey, the way the composers followed in the production of the original soundtrack, while composing the compositions for the film, and the problems they encountered in this process were mentioned. Finally, the process of composing the soundtrack was examined. The goal of this thesis is to show the significance of original film soundtracks in cinema by considering the situation of film music composition in Turkish cinema
Fuzzy Modeling of Fractional-Order Dental Caries System and Bifurcation Analysis
No full textDental caries is a widespread public health concern influenced by biological, behavioral, and environmental factors. To better understand its progression, this study formulated a fuzzy fractional-order SEIR model. The Caputo fractional derivative was used to capture memory effects. Fuzzy membership functions, dependent on viral load, incorporated uncertainty in transmission, recovery, and disease-induced mortality rates. Equilibrium points were calculated, and the basic reproduction number was derived as a function of viral load. Stability analysis showed the disease-free equilibrium is locally asymptotically stable when R0(Lambda) 1. Bifurcation analysis with center manifold theory confirmed a forward bifurcation at the threshold R-0(Lambda) = 1. Existence and uniqueness of solutions were ensured through Lipschitz conditions. A fractional Adams-Bashforth scheme provided numerical approximations. Simulations illustrated how changes in fractional order and fuzzy parameters affect disease dynamics. The results showed fractional orders alpha < 1 delay infection peaks and flatten epidemic curves. Higher viral loads reduce recovery rates and increase lethality. The proposed framework captures realistic dynamics under uncertainty, giving valuable insights for designing effective treatment strategies and public health interventions against dental caries.Science Citation Index Expande
Predictive and Global Effect of Active Smoker in Asthma Dynamics With Caputo Fractional Derivative
No full textSmoking is harmful to the lungs and has numerous effects on our bodies. This leads to decreased lung function, which increases the lungs’ susceptibility to asthma triggers. In this paper, we develop a new fractional-order model and investigate the impact of smoking on the progression of asthma by using the Caputo operator to analyze different factors. Using the Banach contraction principle, the existence and uniqueness of solutions are established, and the positivity and boundedness of the model are proved. The model further incorporates different stages of smoking to account for incubation periods and other latent effects, enhancing the accuracy of system dynamics. Within this Fractional operator framework, key analyses are performed, including the identification of equilibrium points, computation of the basic reproduction number, sensitivity analysis, and assessment of local and global stability with the Lyapunov function. Additionally, chaos stability employing linear response regulation is implemented mathematically, and the effect of the compartment shows through simulations. A numerical iterative method employing Newton polynomial interpolation is used to illustrate the effectiveness of the suggested model, and numerical simulations reveal its enhanced efficiency at various fractional orders. The fractional-order framework offers a more realistic representation than classical integer-order models. © © 2025 The Authors.Science Citation Index Expande
The Role of Neuropeptide W Overexpression on Pancreatic Cancer Cell Behaviour
No full textScience Citation Index Expande