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Framing of Syrian Refugees in Turkish Politics: an Analysis of Turkish Grand National Assembly Debates
No full textThis study examines how Turkish political parties framed the Syrian refugee issue in floor speeches in the Turkish parliament leading up to the 2023 general election. Building upon research that explores how political party ideologies, issue ownership, and issue salience shape party approaches to immigration and refugee issues, we analyzed the incumbent AKP's response to opposition criticisms of its open-border policy. Additionally, we examined whether the CHP, MHP, & Idot;Y & Idot;P, and HDP increased their standing on the issue by addressing it in speeches and whether they framed the issue from social, demographic, economic, humanitarian, or security threat perspectives.Social Science Citation Inde
A Radial Basis Bayesian Regularization Neural Network Process for the Malaria Disease Model
No full textPurpose: Malaria is one of the dangerous infectious disease produced through Plasmodium parasites, which is transmitted by the bite of a diseased Anopheles mosquito. The aim of this study is to solve the malaria disease model by using one of the stochastic computing neural network structures. The nonlinear system is presented into the populations of the host and vector using the insecticides and treatment. Method: A radial basis neural network uses the radial basis in the hidden layer. The performance of optimization is judged via Bayesian regularization for presenting the solutions of the model. The construction of the data is performed through the explicit Runge-Kutta that decreases the mean square error by adjusting the data for authentication 0.12, testing 0.15, and training 0.73. Results: The accurateness of designed stochastic technique is observed based on the matching of the obtained and the published solutions. Moreover, the negligible absolute error performances 10_ 05 to 10_ 07, and best training values 10_09 to 10_12 also support the exactness of the solver. In addition, the capability of the designed scheme is validated through different values based state transition, regression, and error histogram. Novelty: The designed stochastic computational radial basis neural network procedure along with the optimization of Bayesian regularization has never been applied before to solve the malaria disease system.Science Citation Index Expande
Finite Similitude of Sandwich Panel Structure for Electric Vehicle
No full textBenzinli/dizel araçlarda yakıt tüketimini azaltmak ve tepkiyi artırmak, ayrıca elektrikli araçlarda bataryanın uzun menziline katkıda bulunmak amacıyla, otomotiv araştırmalarında ve üretim merkezlerindeki geliştirme kurumlarıyla birlikte araştırmacılar tarafından otomobil araçlarının ağırlık azaltımına yönelik çalışmalar yürütülmektedir. Araç ağırlığının azaltılması, çarpışma dayanıklılığına karşı güvenliğin azalması gibi bazı zorlukların ortaya çıkmasına neden olmaktadır. Bu tür kritik konular, otomotiv üretiminde yüksek mekanik özelliklere sahip hafif bal peteği sandviç kompozitlerin kullanılmasına olan ilgiyi artırmaktadır. Gerçekte, karbon fiber takviyeli plastik (CFRP) karışımı, elektrikli araç yüzey yapımında mevcut üretim süreçlerinde nispeten yüksek maliyetli bir malzeme olarak öne çıkmaktadır. Sandviç paneller, bal peteği şeklinde polipropilen (PP) çekirdek ile hibrit karbon fiber karışımı bir yüzeyden oluşmaktadır. Çalışmamızın amacı, farklı boyut fraksiyonlarına sahip bal peteği çekirdek ile karbon fiber karışımı yüzeylerin eğilme özelliklerini ve eğilme sertliklerini hesaplamaktır. Panellerin eğilme özellikleri ve yük taşıma kapasitesi, elektrikli araç yüzey model çerçevesinde kullanılan hibrit karbon çelik/cam FRP için kaydedilen değerlerle karşılaştırılmıştır. Sandviç panelin eğilme özelliklerini karakterize etmek amacıyla bir sonlu eleman modeli oluşturulmuş ve homojenleştirme stratejisi kullanılmıştır. Son olarak, elektrikli araç şasisinin kaputunda darbe direnci incelemelerinde basitleştirilmiş bir yöntem uygulanmıştır. Karbon fiber cam hibrit yüzeye sahip bal peteği çekirdek için uygun bir yük taşıma kapasitesi, elektrikli araç gövdesi üretiminde alternatif bir hafif malzeme olarak değerlendirilebilecektir.To save fuel consumption against enhance response in gasoline/diesel cars, also to advance the far distance of the electric battery in electric wheels vehicles, weight reduction papers for automobile vehicles are being conducted by researchers in automotive investigation with improvement institutions in research and production centres. The automobile vehicles weight minimizing leads to the discovery of some challenges such as minimized safety against crashworthiness. Such crucial issues bring important interest through the employ of composites of the lightweight honeycomb sandwich with high mechanical attributes in the automotive production.in fact, the mixture of carbon Fiber reinforced plastic (CFRP) is a relatively high-expense substantial in the present production operation of electric car surface construction. The sandwich panels are composed of honeycomb-shaped polypropylene (PP) along a hybrid carbon Fiber mixture skin. The objective of our study was to compute its bending characteristics and bending stiffness of carbon Fiber mixture skins of various size fractions with honeycomb core. The bending characteristic's with charge of the panels were correlated to amounts recorded for the hybrid carbon steel/glass FRP utilized in the electric car surface model frame. A finite element model of the sandwich panel was created to characterize it bending characteristics of substantial's utilizing homogenization strategy. At last, the simplified scheme was employed shock resistance investigations of the hood of the electric vehicle chassis. Suitable charge for the honeycomb core with carbon Fiber glass hybrid skin might be achieved as an alternative lightweight substantial in electric vehicle body fabricated
Investigation of Trace Element and Toxic Metal Blood Levels in Obese Children
No full textEmerging Sources Citation Inde
Differentiating Cardiac Sarcoidosis From Arrhythmogenic Right Ventricular Cardiomyopathy: a Systematic Review
No full textObjective: Cardiac sarcoidosis (CS) and arrhythmogenic right ventricular cardiomyopathy (ARVC) are distinct disorders with different pathophysiologic pathways, but they share similar clinical presentations that could lead to misdiagnosis and inappropriate therapeutic decisions. Methods: We searched PubMed and Google Scholar databases and other relevant literature to retrieve comparative studies including CS and ARVC that were published before 2024. The National Heart, Lung and Blood Institute checklist was used for quality assessment and the review was conducted according to the PRISMA guidelines. Three reviewers determined study eligibility and made quality assessments. Results: A total of seven studies were included in the review. Patients with CS were older (five of seven studies) and had more comorbidities (two of two studies). PR interval (four of five studies) and QRS duration (four of four studies) were longer in CS. Most studies reported lower left ventricular ejection fraction in CS (five of six studies), and septal involvement on cardiac MRI was more common in CS (two of three studies). 18-Fluorodeoxyglucose uptake on positron emission tomography (PET) scan was seen in up to 90% of CS patients. 62.5%-100% of patients with CS fulfilled 1994 or 2010 International Task Force criteria for ARVC. Conclusions: Available evidence suggests that atrioventricular and intraventricular conduction defects in an older (>40 years) patient with low left ventricular ejection fraction should raise suspicion for CS, especially when other supportive findings, such as 18-fluorodeoxyglucose avidity on PET, were present. Neither 1994 nor 2010 ARVC Task Force criteria should be used to discriminate CS from ARVC. (c) 2025 The Author(s). Published by S. Karger AG, BaselScience Citation Index Expande
A Systematic Review of Nuclear Energy and Public Acceptance-A Detailed Analysis of Evolution, Emerging Trends, and Future Research Potentials
No full textLafta Rashid, Farhan/0000-0002-7609-6585; Agyekum, Ephraim Bonah/0000-0002-6947-4349The Fukushima nuclear catastrophe in 2011 had a significant effect on nuclear development worldwide. Despite the numerous studies that assessed nuclear acceptance in recent times, there is currently no study that provides a detailed bibliometric review on the available literature. Therefore, a bibliometric review of public acceptance and nuclear energy has been carried out to better understand their evolution, trends, and future research potentials. In the period under review (2000-2023), 263 documents were published, and a total of 659 researchers produced the literature with an annual growth rate of 7.9%. The factorial analysis revealed key themes; grouped into three clusters: technical operational aspects of nuclear energy (Cluster 1), safety and risk management (Cluster 2), and public policy and social issues (Cluster 3). The word cloud analysis identified common subjects of research such as nuclear safety, risk perception, and public trust, suggesting that further research is needed on societal concerns and effective communication strategies. Collaboration patterns revealed strong research linkages between China and the US, and a number of other internationally collaborative countries such as the UK, Germany, and Japan. Future studies should investigate prediction models for public perceptions of nuclear power and concentrate on comprehending the elements that affect public trust, especially in developing nations. Research on public-private partnerships, psychological aspects influencing attitudes, and the effectiveness of educational initiatives is also crucial. The policy recommendations highlights the need for open governance and broad public participation in decisions concerning nuclear energy to alleviate concerns on safety and environmental risks and therefore nurture public trust in nuclear power.Manipal Academy of Higher EducationThe authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Manipal Academy of Higher Education.Science Citation Index Expande
Tarihsel Oyun Yolculuğu (TOY) Uygulamasının İlkokul Öğrencilerinin Kültürel Mirasa Duyarlılıklarına ve Kültürel Miras Konusundaki Başarılarına Etkisi
No full textKültürel mirasın gelecek kuşaklara aktarılmasında kültürel farkındalık oluşturma ve bilinçlendirme önem taşımaktadır. Bu araştırmanın amacı, çocuklarda kültürel miras konusunda farkındalık ve duyarlılık oluşturmak amacıyla geliştirilen elektronik rehber sistemleri destekli oyun temelli uygulamanın ilkokul öğrencilerinin kültürel mirasa duyarlılık ve kültürel mirasa ilişkin başarı düzeyine etkisini belirlemektir. Araştırmada deneysel desenlerden tek grup öntest-sontest desen kullanılmıştır. Araştırmanın çalışma grubunu Eskişehir’de ilkokul 3. ve 4. sınıfa devam eden 134 öğrenci oluşturmuştur. Verilerin toplanmasında kültürel mirasa duyarlılık ölçeği ile kültürel miras başarı testi kullanılmıştır. Verilerin analizinde Wilcoxon İşaretli Sıralar Testinden yararlanılmıştır. Araştırma sonucunda TOY uygulama sürecinin öğrencilerin kültürel mirasa olan duyarlılıklarını ve akademik başarılarını artırdığı sonucuna ulaşılmıştır. Araştırmada elde edilen sonuçlara dayalı olarak öneriler getirilmiştir.Emerging Sources Citation Inde
A Reliable Neural Network Procedure for the Novel Sixth-Order Nonlinear Singular Pantograph Differential Model
No full textAn innovative singular nonlinear sixth-order (SNSO) pantograph di®erential model (PDM), known as the SNSO-PDM, is the subject of this novel study along with its numerical investigation. The concepts of pantograph and conventional Emden-Fowler have been presented in the design of the novel SNSO-PDM. The models based on Emden{Fowler have huge applications in mathematics and engineering and are always di±cult to solve due to singularity. For each class of the innovative SNSO-PDM, the singularity, shape and pantograph factors are described. A reliable stochastic Levenberg-Marquardt backpropagation neural network (LMBPNN) procedure is designed for the SNSO-PDM. The correctness of the SNSOs-PDM is observed through the comparison performances of the achieved and reference outputs. The obtained results of the SNSO-PDM are considered by applying the process of training, certification, and testing to reduce the mean square error. To authenticate the e±cacy of the innovative SNSO-PDM, the numerical performances of the solutions are depicted in the sense of regression, error histograms and correlation. © 2026 World Scientific Publishing Company.Science Citation Index Expande
Measurement of Inclusive and Differential Cross Sections for W+W- Production in Proton-Proton Collisions at √s=13.6 TeV
No full textDella Ricca, Giuseppe/0000-0003-2831-6982; Moscatelli, Francesco/0000-0002-7676-3106; Hussain, Priya Sajid/0000-0002-4825-5278; Navarrete Ramos, Efren/0000-0002-5180-4020; Tornago, Marta/0000-0001-6768-1056; Dragicevic, Marko/0000-0003-1967-6783; Matorras, Francisco/0000-0003-4295-5668; Grunewald, Martin/0000-0002-5754-0388; Colaleo, Anna/0000-0002-0711-6319; Shopova, Mariana/0000-0001-6664-2493; /0000-0002-1153-816X; Hernandez Calama, Jose Maria/0000-0001-6436-7547; Martinez Rivero, Celso/0000-0002-3224-956X; Tiwari, Praveen Chandra/0000-0002-3667-3843; Trocino, Daniele/0000-0002-2830-5872; Chatterjee, Suman/0000-0003-2660-0349; Venditti, Rosamaria/0000-0001-6925-8649; Calderon, Dr. Alicia/0000-0002-7205-2040; Fernandez Perez Tomei, Thiago Rafael/0000-0002-1809-5226; Laroze, David/0000-0002-6487-8096; Macchiolo, Anna/0000-0003-0199-6957; Pedraza Morales, Maria Isabel/0000-0002-2669-4659;Measurements at root s = 13.6 TeV of the opposite-sign W boson pair production cross section in proton-proton collisions are presented. The data used in this study were collected with the CMS detector at the CERN LHC in 2022, and correspond to an integrated luminosity of 34.8 fb(-1). Events are selected by requiring one electron and one muon of opposite charge. A maximum likelihood fit is performed on signal- and background-enriched data categories dfined by the flavor and charge of the leptons, the number of jets, and number of jets originating from b quarks. The overall sensitivity is significantly better than that of previous results with a similar integrated luminosity. The improvement comes from a more rfined control of experimental uncertainties and an improved fit strategy. An inclusive W+W- production cross section of 125.7 +/- 5.6 pb is measured, in agreement with standard model predictions. Cross sections are also reported in a fiducial region close to that of the detector acceptance, both inclusively and differentially, as a function of the jet multiplicity in the event. For the first time in proton-proton collisions, WWevents with zero, one, and at least two jets are studied simultaneously and compared with recent theoretical predictions.FWF; FNRS; FWO (Belgium) [30820817]; 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; 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); Swiss Funding Agencies (Switzerland); NSTDA; TUBITAK; DOE; 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 (FRIABelgium); Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium); 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 [FR22985]; 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]; 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; 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 [B37G660013]; Kavli Foundation; Nvidia Corporation; SuperMicro 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 centres and personnel of the Worldwide LHC Computing Grid and other centres for delivering so effectively the computing infrastructure essential to our analyzes. 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). 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 (FRIABelgium); 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 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 FR22985 (Georgia); the Deutsche Forschungsgemeinschaft (DFG), 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, and TKP2021-NKTA-64 (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 Artficial 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 Cientfica 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 B37G660013 (Thailand); the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, contract C-1845; and the Weston Havens Foundation (USA).Science Citation Index Expande
Modeling the Mechanical Behavior of Platinum-Graphene Nanocomposites Prepared Via Powder Metallurgy at Various Initial Temperatures and Pressures
No full textSawaran Singh, Narinderjit Singh/0000-0001-7067-5239; Wang, Mengxia/0009-0000-9369-626XIntroduction: This study investigated the mechanical properties of platinum-graphene nanocomposites synthesized through powder metallurgy, focusing on how temperature and pressure affected their behavior. The aim was to understand these influences, which are crucial for industrial and medical applications. Using molecular dynamics simulations, the study investigated to optimize these materials for enhanced performance, particularly in improving the biocompatibility of platinum-based materials for medical use. Development: This study aimed to analyze the impact of various temperatures and pressures on the stress-strain curve, ultimate strength, and Young's modulus of platinum-graphene nanocomposites using molecular dynamics simulations. The study examined how these factors influenced the material's performance under different conditions. Conclusion: The results indicate that ultimate strength decreased from 116 to 105 MPa, and Young's modulus decreased from 1099 to 1000 MPa as temperature increased from 300 to 400 K. This decrease was due to higher temperatures causing increased atomic vibrations and weaker interatomic bonds, reducing resistance to deformation and failure. Similarly, fracture stress decreased from 106.744 to 97.655 MPa, and the strain ratio decreased from 27.15 to 25.92 at the fracture stress point with rising temperature. Conversely, changing the pressure from 1 to 5 bar resulted in an increase in Young's modulus and ultimate strength to 1297 MPa and 137 MPa, respectively. Higher pressure enhanced atomic packing, strengthening interatomic bonds and improving fracture resistance. At 5 bar pressure, fracture stress rose from 106.744 to 119.40 MPa, while the strain ratio at the fracture stress point increased from 27.15 to 31.914. In conclusion, temperature and pressure significantly influenced the mechanical properties of platinum-graphene nanocomposites, impacting their industrial and medical applications.Science Citation Index Expande