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Retracted: Adaptation Challenges of Edge Computing Model in Educational Institute(Journal of Intelligent & Fuzzy Systems, (2025), 48, (491-508))
No full textThis article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219434. © 2025 – IOS Press. All rights reserved
The Stability of the Sars-Cov Structure in the Presence of Variable External Heat Flux in the Vicinity of the Water/Silver Nanofluid: a Molecular Dynamics Simulation
No full textChanges in the dynamics and conformation of the SARS-COV-2 structure, which are usually brought on by external heat flux (HF), may have an impact on the structure's stability. For example, increased HF levels may cause the protein to unravel or denaturate, which may lead to a loss of functioning. By examining the impact of exogenous HF on the stability of SARS-COV-2 structure using molecular dynamics simulations, these complex mechanisms may be better understood, and the virus's capacity to adapt to different environments can be enhanced. This work investigated the effect of the varied HF frequency on the stability of the SARS-COV-2 virus in the proximity of a water fluid containing silver nanoparticles using molecular dynamics modelling. The SARS-COV-2 virus and silver-water nanofluid were shown to have the following properties: mean square displacement, diffusion coefficient, and interaction energy (IE) at HFs ranging from 0.01 to 0.1 ps-1. The results showed that the modeled samples' equilibrium phase occurred at 300 K. Furthermore, it was found that the generated nanofluid contained an inactivated copy of the SARS-CoV-2 virus. Numerically, the SARS-COV-2 sample's diffusion coefficient and IE converged to 0.3856 nm2/ps and 3037.83 kcal/mol, respectively. Furthermore, the results of the simulation suggested that setting the HF parameter to 0.01 fs-1 would result in a higher degree of degradation of the SARS-CoV-2 virus. These results are expected to improve the effectiveness of SARS-CoV-2 viral degradation procedures in clinical applications.Science Citation Index Expande
Comment on 'What Is the Force on a Magnetic Dipole?’
No full textWe identify errors in the paper by Franklin (2018 Eur. J. Phys. 39 3) and particularly invalidate his claim that the introduction of the hidden momentum of the magnetic dipole violates the conservation of total momentum. Also, we emphasize that the contribution of the 'hidden momentum' to the force on the magnetic dipole plays an important role in the implementation of the 'center-of energy' theorem of classical electrodynamics, and earlier attempt of Franklin to disprove this theorem are erroneous.Science Citation Index Expande
Coupling Interactions in Aeroelastic Analysis of 3D Aircraft Wings with Control Surface During Flight
No full textThis work investigates the dynamic characteristics of a system susceptible to flutter phenomena during aircraft flight operation while considering fluctuations in critical system parameters, including stiffness, damping, flap angle, angle of attack, and yaw angle. A parametric analysis was conducted to quantify the influence of each parameter on the system response, particularly focusing on bending and torsional mode. To substantiate the findings, comparing simulated, theoretical, and experimental results shows good agreement in overall trends. The results show that increasing stiffness from 100 N/m to 300 N/m reduced the peak bending displacement by approximately 80%, demonstrating a strong stabilizing effect. Similarly, increasing the damping coefficient from 0.1 to 1 resulted in a 40% reduction in torsional angle amplitude, highlighting the importance of damping in controlling the system’s oscillatory behavior. Additionally, aerodynamic variations such as yaw angle shifts from 0o to 5o increased bending displacement amplitude by 70%, revealing the system’s sensitivity to aerodynamic conditions. Similarly, increasing the angle of attack from 0o to 10o increases the bending displacement amplitude by 50% Emplacing the perturbative effect that elevated angles of attack exert on the system. The flap angle was also found to have a significant impact, with 60% increase in flutter speed observed when the flap angle was increased from 0o to 30o, reducing the system’s susceptibility to instability. © 2025 Elsevier B.V., All rights reserved
The Relationship Between School Transparency Level and School Principals' Competency-Based Job Performance According to Teacher Perceptions
No full textBu araştırma, ilkokul öğretmenlerinin algılarına göre, okulların şeffaflık ve okul müdürlerinin yetkinliğe dayalı iş performansları düzeylerini, okulun ve öğretmenlerin demografik özelliklerine göre algıların farklılık gösterip göstermediğini ve okul şeffaflık düzeyi ile okul müdürlerinin yetkinliğe dayalı iş performansları arasındaki ilişkiyi incelemiştir. İncelenen beş araştırma sorusu bulunmaktadır; 1) İlkokul öğretmenlerinin algılarına göre okul şeffaflık düzeyleri nasıldır? 2) İlkokul öğretmenlerinin okul şeffaflık düzey algıları, demografik bilgilerine göre anlamlı farklılık göstermekte midir? 3) İlkokul öğretmenlerinin algılarına göre okul müdürlerinin yetkinliğe dayalı iş performansları ne düzeydedir? 4) İlkokul öğretmenlerinin okul müdürlerinin yetkinliğe dayalı iş performans düzeyi algıları, demografik bilgilerine göre anlamlı farklılık göstermekte midir? 5) İlkokul öğretmenlerinin algılarına göre, okul şeffaflık düzeyi ile okul müdürlerinin yetkinliğe dayalı iş performansları düzeyi arasında anlamlı bir ilişki var mıdır?'. Bu araştırmanın deseni, değişkenler arasındaki ilişkileri ortaya koymayı amaçlayan nicel bir model olan 'ilişkisel tarama' çerçevesinde yapılandırılmıştır. Çalışmanın evrenini, 2023-2024 eğitim-öğretim yılında İstanbul ilinde Millî Eğitim Bakanlığı'na bağlı ilköğretim okullarında görevli olan 390 ilkokul öğretmeni oluşturmaktadır. Öğretmenlerin okul şeffaflığına dair algılarını belirlemeye yönelik kullanılan veri toplama aracı, Tosun ve Çelik (2022) tarafından geliştirilen 'Okul Şeffaflık Ölçeği' ile okul müdürlerinin yetkinliğe dayalı iş performansına ilişkin algılarını ölçmek üzere Çamur ve Göğüş (2023) tarafından okul müdürleri için geliştirilen ve Ögücü (2025) tez çalışmasında öğretmen versiyonu olarak geliştirilen 'Okul Müdürlerinin Yetkinliğe Dayalı İş Performans Algıları Ölçeği' kullanılmıştır. 'Okul Şeffaflık Ölçeği'; 'Kararlara Katılım', 'Bilgi Akışı' ve 'Hesap Verebilirlik' olmak üzere üç alt boyuttan; 'Okul Müdürlerinin Yetkinliğe Dayalı İş Performans Algıları Ölçeği' ise 'Pedagojik Yönetim: Öğrenme ve Öğretme Süreçlerinde Değerlendirme ve Liderlik', 'Örgütsel Koşulların Oluşturma, Okulu ve Personeli Geliştirme', 'İletişim ve Değerler', 'Okul İçinde Uyum ve Mesleki Gelişim', 'İzleme ve Rehberlik Etme' ile 'Finansal Kaynakların Sağlanması ve Yönetimi' olmak üzere altı alt boyuttan oluşmaktadır. Araştırmada kullanılan ölçeklerin geçerlilik ve güvenirlik analizlerinden sonra, betimsel istatistikler, gruplar arası farklılıkların incelenmesinde parametrik testler kullanılmıştır. Değişkenler arasındaki ilişkiler Spearman korelasyon analizi ile incelenmiş, bağımsız değişken olan okul şeffaflık düzeyinin, bağımlı değişken olan okul müdürlerinin yetkinliğe dayalı iş performansı üzerindeki etkisi ise çoklu regresyon analizi ile incelenmiştir. Araştırma bulguları doğrultusunda, ilk araştırma sorusu için 'İlkokul öğretmenlerinin algılarına göre okul şeffaflık düzeyleri' tüm boyutlarda 'orta düzey algı' olduğu bulgulanmıştır. Kararlara Katılım, Bilgi Akışı, Hesap Verebilirlik ve genel olarak Okul Şeffaflık Boyutu puanları birbirine oldukça yakındır ve orta düzey bir algıyı işaret etmektedir. İkinci araştırma sorusu olan 'İlkokul öğretmenlerinin okul şeffaflık düzey algıları, demografik bilgilerine göre anlamlı farklılık göstermekte midir?' sorusu için elde edilen bulgularda, 'öğretmenlerin cinsiyetine' göre, erkek ve kadın katılımcılar arasında okul şeffaflık düzeyi algılarında anlamlı bir fark bulgulanmamıştır. 'Öğretmenlerin öğrenim durumuna' göre, lisans ve lisansüstü arasında okul şeffaflık algısı açısından istatistiksel olarak anlamlı bir fark bulunmamaktadır. 'Okuldaki öğretmenlerin hizmet yılına' göre, 'Kararlara Katılım' boyutunda anlamlı bir farklılık bulunmazken, kısa süreli 1-5 yıl hizmet süresine sahip öğretmenler 'Bilgi Akışı' ve 'Hesap Verebilirlik' boyutlarında diğer gruplardan belirgin şekilde daha yüksek algılara sahip olduğu görülmektedir. 'Okuldaki öğrenci sayısına' göre, 251-350 öğrenci bulunan okullarda öğretmenlerin tüm boyutlarda okul şeffaflık algısı daha yüksek bulunmuştur. Ayrıca, 250'den az öğrenci olan okullarda bilgi akışı algısının, 351'den fazla öğrenci bulunan okullara göre daha yüksek olduğu; büyük okullarda ise hesap verebilirlik algısının, 251-350 öğrenci olan okullardan anlamlı derecede düşük olduğu saptanmıştır. 'Okuldaki öğretmen sayısına' göre anlamlı bir farklılık oluşturmadığı saptanmıştır. Araştırma bulguları doğrultusunda, üçüncü araştırma sorusu olan 'ilkokul öğretmenlerinin algılarına göre okul müdürlerinin yetkinliğine dayalı iş performanslarının düzeyleri' ölçeğin tamamı için orta düzey algıyı göstermektedir. Alt boyutlar açısından incelendiğinde, 'İletişim ve Değerler' ve 'Finansal Kaynakların Sağlanması ve Yönetimi' boyutlarında yüksek düzey iken diğer boyutlarda orta düzey algı bulgulanmıştır. Araştırma bulguları doğrultusunda, dördüncü araştırma sorusu olan 'İlkokul öğretmenlerinin okul müdürlerinin yetkinliğe dayalı iş performans düzeyi algıları, demografik bilgilerine göre anlamlı farklılık göstermekte midir?' sorusu için elde edilen bulgularda, 'öğretmenlerin cinsiyetine göre'; ölçeğin tüm boyutlarında anlamlı bir farklılık olmadığı tespit edilmiştir. 'Öğretmenlerin öğrenim durumuna' göre, ölçek boyutlarından sadece 'Finansal Kaynakların Sağlanması ve Yönetimi' düzeyindeki algının lisans mezunlarının lisansüstü mezunlarından daha yüksek olduğu bulgulanmıştır. 'Öğretmenlerin hizmet yılına' göre boyutlardan 'Örgütsel Koşulların Oluşturma, Okulu ve Personeli Geliştirme', 'İletişim ve Değerler' ile 'Finansal Kaynakların Sağlanması ve Yönetimi' boyutlarında anlamlı farklılık gözlemlenmiştir. 'Okuldaki öğrenci sayısına' göre, büyük öğrenci sayısı olan okullar ile küçük öğrenci sayısı olan okullar arasında anlamlı bir farklılık bulgulanmıştır. 'Okuldaki öğretmen sayısına' göre ise anlamlı bir farklılık bulunmamaktadır. Araştırma bulguları doğrultusunda, beşinci araştırma sorusu olan 'Öğretmenlerin okul şeffaflık düzeyi ile ilgili algıları ile okul müdürlerinin yetkinliğe dayalı iş performanslarına ilişkin algıları' değişkenleri arasında istatistiksel olarak anlamlı pozitif çok güçlü bir ilişki bulunmaktadır. Okul şeffaflık düzeyinin bağımsız değişken, okul müdürlerinin yetkinliğe dayalı iş performanslarına ilişkin algı düzeyinin bağımlı değişken olarak alındığı ve ayrıca bu ölçeğin tüm alt boyutlarının ayrı ayrı bağımlı değişken olarak alındığı analizlerde, okul şeffaflık düzeyinin tüm bağımlı değişkenler üzerinde anlamlı ve pozitif etkiler oluşturduğu bulgulanmıştır. Sonuç olarak elde edilen bulguların, okul müdürlerinin şeffaf olmasının, okul müdürlerinin yetkinliğe dayalı iş performansını artırmaktadır. Şeffaf bir okul yönetimi, öğretmenlere yönelik açık iletişim, karar süreçlerine katılım ve hesap verebilirlik gibi unsurlar sunarak, müdürlerin yetkinliklerini ve iş performanslarını pekiştirebilir. Öğretmenlerin okul şeffaflık düzeyine dair algıları yüksekse, okul müdürlerinin iş performansına yönelik algıları da genellikle yüksek olacaktır. Müdürlerin yetkinlikleri, okul içindeki şeffaflık düzeyinin artırılmasıyla güçlenebilir, çünkü öğretmenlerin bilgiye kolay erişim sağlama, kararlara katılma ve performanslarını izleyebilmeleri, genel iş verimliliğini artırır. Bu bağlamda, okul şeffaflığının artırılması, müdürlerin yetkinliklerini daha belirgin hale getirerek, okulun genel yönetim kalitesini yükseltebilir. Anahtar Kelimeler: okul şeffaflık düzeyi, okul müdürlerinin yetkinliğe dayalı iş performansı, ilkokul öğretmenleri algısıThis research examined the levels of school transparency and competency-based job performance of school principals according to the perceptions of primary school teachers, whether perceptions differ according to the demographic characteristics of schools and teachers, and the relationship between the level of school transparency and the competency-based job performance of school principals. There are five research questions examined; '1) What are the levels of school transparency according to the perceptions of primary school teachers? 2) Do primary school teachers' perceptions of school transparency differ significantly according to their demographic information? 3) What is the level of competency-based job performance of school principals according to the perceptions of primary school teachers? 4) Do primary school teachers' perceptions of school principals' competency-based job performance differ significantly according to their demographic information? 5) Is there a significant relationship between the level of school transparency and the level of competency-based job performance of school principals according to the perceptions of primary school teachers?' The design of this research is structured within the framework of 'relational screening', which is a quantitative model that aims to reveal the relationships between variables. The universe of the study consists of 390 primary school teachers working in primary schools affiliated to the Ministry of National Education in Istanbul in the 2023-2024 academic year. The data collection tool used to determine teachers' perceptions of school transparency is the 'School Transparency Scale' developed by Tosun and Çelik (2022), and the 'School Principals' Competency-Based Job Performance Perceptions Scale' developed by Çamur and Göğüş (2023) for school principals and developed as a teacher version in the thesis study of Ögücü (2025). The 'School Transparency Scale' consists of three sub-dimensions: 'Participation in Decisions', 'Information Flow' and 'Accountability'; 'School Principals' Competency-Based Job Performance Perception Scale' consists of six sub-dimensions: 'Pedagogical Management: Evaluation and Leadership in Learning and Teaching Processes', 'Creating Organizational Conditions, Developing the School and Personnel', 'Communication and Values', 'Harmony and Professional Development within the School', 'Monitoring and Guidance' and 'Provision and Management of Financial Resources'. After the validity and reliability analyses of the scales used in the study, descriptive statistics and parametric tests were used to examine the differences between groups. The relationships between the variables were examined with Sperman correlation analysis, and the effect of the independent variable, school transparency level, on the dependent variable, school principals' competency-based job performance, was examined with multiple regression analysis. In line with the research findings, for the first research question, 'School transparency levels according to the perceptions of primary school teachers', it was found that there was a 'medium level of perception' in all dimensions. Participation in Decisions, Information Flow, Accountability and School Transparency Dimension scores in general are quite close to each other and indicate a medium level of perception. In the findings obtained for the second research question 'Do primary school teachers' perceptions of school transparency level differ significantly according to their demographic information?', no significant difference was found in terms of school transparency level perceptions between male and female participants according to 'gender of teachers'. According to 'education status of teachers', there is no statistically significant difference in terms of school transparency perception between undergraduate and graduate levels. While no significant difference was found in the 'Participation in Decisions' dimension according to 'years of service of teachers at school', it was seen that teachers with a short service period of 1-5 years had significantly higher perceptions than the other groups in the 'Information Flow' and 'Accountability' dimensions. According to the 'number of students in school', it was found that teachers in schools with 251-350 students had higher perceptions of school transparency in all dimensions. In addition, it was found that the perception of information flow was higher in schools with less than 250 students compared to schools with more than 351 students; It was found that the perception of accountability was significantly lower in large schools than in schools with 251-350 students. It was found that there was no significant difference according to the 'number of teachers in the school'. In line with the research findings, regarding the third research question— 'According to the perceptions of primary school teachers, what is the level of school principals' competency-based job performance?' —the overall results indicate a moderate level of perception across the entire scale. When examined in terms of sub-dimensions, teachers' perceptions were found to be at a high level in the dimensions of Communication and Values and Provision and Management of Financial Resources, while perceptions in the remaining sub-dimensions reflected a moderate level. In line with the research findings, in the findings obtained for the fourth research question, 'Do primary school teachers' perceptions of school principals' competency-based job performance levels differ significantly according to their demographic information?', it was determined that there was no significant difference in all dimensions of the scale 'according to teachers' gender'. According to 'teachers' educational status', it was found that only the perception at the level of 'Provision and Management of Financial Resources' was higher in bachelor's degree graduates than in master's degree graduates. According to 'years of service of teachers', a significant difference was observed in the dimensions of 'Creating Organizational Conditions, Developing School and Personnel', 'Communication and Values' and 'Provision and Management of Financial Resources'. According to 'number of students in school', a significant difference was found between schools with large student numbers and schools with small student numbers. There was no significant difference according to 'number of teachers in school'. In line with the research findings, the fifth research question— 'Is there a relationship between teachers' perceptions of school transparency and their perceptions of school principals' competency-based job performance?' —revealed a statistically significant and strong positive correlation between the two variables. In the analyses where school transparency level was treated as the independent variable and teachers' perceptions of principals' competency-based job performance as the dependent variable, including each sub-dimension of the performance scale as separate dependent variables, it was found that school transparency had a significant and strong positive effect on all dependent variables. As a result, the findings indicate that school principals' transparency contributes to an increase in their competency-based job performance. A transparent school administration—by fostering open communication, participation in decision-making, and accountability—can enhance principals' leadership skills and overall job performance. When teachers perceive a high level of transparency within their schools, their perceptions of principals' job performance also tend to be more positive. Principals' competencies may be strengthened through increased transparency, as it allows teachers easier access to information, involvement in decisions, and the ability to monitor performance, all of which contribute to greater overall work efficiency. In this context, enhancing school transparency can make principals' competencies more visible and thereby elevate the overall quality of school management. Keywords: school transparency level, school principals' competence-based job performance, teacher perception
A Novel Nanosponge-Based Oral Delivery System for Viburnum Opulus L. Fruit Extract: Formulation, Characterization and Antioxidant Assessment
No full textPurpose This study aimed to optimize nanosponges loaded with V. opulus water extract formulation to diminish the limitations of extracts such as poor absorption, low bioavailability, inadequate biodistribution. Moreover, to the best of our knowledge, it represents the first investigation of nanosponge loaded with V. opulus water extract formulation. Methods The nanosponges were produced using a quasi-emulsion technique. The optimal formulation was selected using a design of experiments (DOE) approach, incorporating variables such as methylcellulose (MC) (0.5-0.8%, w/w), polyvinyl alcohol (PVA) (0.3-0.7%, w/w), and Tween 80 (TW80) (0.2-0.7%, w/w). The primary quality attributes considered were particle size and encapsulation efficiency. Following optimization, the formulations were subjected to morphological and physicochemical analyses to confirm the compatibility of the components within the nanosponges. The drug release profiles were assessed and compared with a control group using ultra-performance liquid chromatography. Also, total phenolic content and antioxidant activity were assessed to evaluate functional preservation after encapsulation. Results The resulting particle size and encapsulation efficiency were found to be 190.833 +/- 8.3 nm and 81.0 +/- 6.3 %, respectively. The V. opulus extract nanosponge exhibited distinct release profiles across the pH range of 1.2, 4.5, and 6.8. No significant difference in release was observed between the nanosponge and the control group at pH 1.2 (p > 0.05). However, at pH 4.5 and 6.8, a statistically significant difference was found between the two groups (p < 0.05). Additionally, a notable difference in release patterns was observed between pH 4.5 and pH 6.8 for the V. opulus extract nanosponge. The release mechanisms of The V. opulus extract nanosponge gel were fitted Higuchi kinetics at pH 1.2 (R-2: 0.7117), pH 4.5 (R-2: 0.7949) and pH 6.8 (R-2: 0.7006). The release mechanisms of the control gel were fitted Higuchi kinetics at pH 1.2 (R-2: 0.6976), pH 4.5 (R-2: 0.8573) and pH 6.8 (R-2: 0.6446) and First order kinetics at pH 4.5 (R-2: 0.8528). The physicochemical characterization proved that in the formulation used components were compatible with each other. Additionally, formulations containing nanosponges demonstrated superior total phenolic content and antioxidant activity in comparison to their non-nanosponge counterparts. Conclusion The V. opulus nanosponge formulation exhibited a significantly higher drug release profile compared to the V. opulus conventional hydrogel formulation. It could be concluded that V. opulus nanosponges represent a promising delivery system to overcome the limitations of the extract and enhance its potential benefits in specific public health concerns, such as the prevention or management of kidney stones.Science Citation Index Expande
Measurement of the Inclusive WZ Production Cross Section in pp Collisions at s = 13.6 TeV
No full textThe inclusive WZ production cross section is measured in proton-proton collisions at a centre-of-mass energy of 13.6 TeV, using data collected during 2022 with the CMS detector, corresponding to an integrated luminosity of 34.7 fb−1. The measurement uses multileptonic final states and a simultaneous likelihood fit to the number of events in four different lepton flavour categories: eee, eeμ, μμe, and μμμ. The selection is optimized to minimize the number of background events, and relies on an efficient prompt lepton discrimination strategy. The WZ production cross section is measured in a phase space defined within a 30 GeV window around the Z boson mass, as σtotal (pp → WZ) = 55.2 ± 1.2 (stat) ± 1.2 (syst) ± 0.8 (lumi) ± 0.3 (theo) pb. In addition, the cross section is measured in a fiducial phase space closer to the detector-level requirements. All the measurements presented in this paper are in agreement with standard model predictions. © 2025 Elsevier B.V., All rights reserved.Science Citation Index Expande
Thermal Behavior of Gold Nanoparticle-Enhanced Paraffin Phase Change Materials: Insights From Molecular Dynamics Simulation
No full textPhase change materials (PCMs) exhibit exceptional performance in thermal energy storage, as they absorb and release Heat during phase changes. However, their application is always limited due to their low thermal conductivity. This study uses molecular dynamics simulation to assess the effects of gold nanoparticles (Au-NPs) on paraffin-based PCMs. The simulation results demonstrate that Au nanoparticles (Au-NPs) greatly enhance the thermal performance of the material. For example, the temperature stabilized at 844 K (from 806 K w/o Au-NPs), the thermal conductivity increased from 1.03 to 1.14 W/m & sdot;K, the heat flux improved from 7.56 to 8.03 W/m2 (to transfer heat faster), increases maximum velocity from 0.075 to 0.082 A/ps (which suggests a faster molecular motion), and a slight reduction in density from 0.0149 to 0.0146 atom/A3 (which is the result of molecular restructuring when integrating Au-NPs). Through these enhancements, the paper demonstrates the importance of Au-NPs in addressing the issue of low thermal conductivity in PCMs. The results add significant understanding for designing and optimizing nanoparticle-enhanced PCMs for renewable energy storage, electronics cooling, and sustainable thermal management systems. This understanding of molecular behavior opens possibilities for improving efficiency and reliability in thermal energy storage technology.Anhui Provincial Natural Science Foundation [2308085MF211]This work was supported by Anhui Provincial Natural Science Foundation (No. 2308085MF211) .Science Citation Index Expande
Precise Forecasting of Shear Stress, Viscosity, and Density for an Aqueous CuO/CaCO3 Ternary Hybrid Nanofluid Utilizing the Artificial Neural Network
No full textThe accurate prediction of thermophysical properties in hybrid nanofluids is crucial for enhancing the efficiency of advanced heat transfer and energy conversion systems. Most published research has largely concentrated on single- or binary-nanoparticle systems, and ternary hybrid systems are still poorly understood in terms of interactions. The present study, however, developed two-layer feedforward artificial neural networks to predict shear stress, viscosity, and density for a water-based nanofluid containing copper oxide, calcium carbonate, and silicon dioxide in volume ratios of 60, 30, and 10%, respectively. Training and validation of the networks were based on experimental data collected at temperatures ranging from 25 to 70 degrees C and nanoparticle volume fractions ranging from 0.5 to 3%. That model achieved outstanding predictive performance, with average root-mean-square errors (evaluated via K-fold cross-validation) of 0.0008 Pa for shear stress, 0.0097 mPa s for viscosity, and 0.0003 g/cm(3) for density. Minimum mean squared errors were 1.63 x 10(-)(6), 3.11 x 10(-)(5), and 4.03 x 10(-)(5), respectively, with correlation coefficients over 0.999 across all data sets. The calculated maximum relative errors were 0.71% for shear stress, 1.34% for viscosity, and 0.06% for density, which endorse the reliability and precision of the produced model. Further sensitivity analysis demonstrated that temperature dominance over shear stress and viscosity, although nanoparticle concentration exerted a significantly stronger impact on density. The proposed framework served as an accurate, data-driven tool for modeling ternary hybrid nanofluids, providing practical insights into their optimized formulations for high-performance thermal management applications.General Scientific Research Project of the Education Department of Zhejiang Province [Y202353333]General Scientific Research Project of the Education Department of Zhejiang Province (Grant No. Y202353333).Science Citation Index Expande
Search for Flavor-Changing Neutral Current Interactions of the Top Quark Mediated by a Higgs Boson in Proton-Proton Collisions at 13 TeV
No full textNovaes, Sergio/0000-0003-0471-8549; Vami, Tamas Almos/0000-0002-0959-9211; Rieger, Marcel/0000-0003-0797-2606; Phor, Saumya/0000-0001-7842-9518; Nanda, Shirsendu/0000-0003-0550-4083; Zucchetta, Alberto/0000-0003-0380-1172; Hernández Calama, José María/0000-0001-6436-7547; De Souza Lemos, Dener/0000-0003-1982-8978; Sano, Fonseca De Souza/0000-0001-7830-0837; Pfeffer, Emanuel/0009-0009-1748-974X; Jabeen, Shabnam/0000-0002-0155-7383; Lange, Clemens/0000-0002-3632-3157; Golf, Frank/0000-0003-3567-9351; Vai, Ilaria/0000-0003-0037-5032; Lee, Jason/0000-0002-2153-1519; Seidel, Markus/0000-0003-3550-6151; Consuegra Roiguez, Sana/0000-0002-1383-1837; Castilla-Valdez, Heriberto/0009-0005-9590-9958; Fontanesi, Elisa/0000-0002-0662-5904; Melo Da Costa, Eliza/0000-0002-5016-6434; Chahal, Gurpreet Singh/0000-0003-0320-4407; Bodek, Arie/0000-0003-0409-0341; Sahasransu, Abanti Ranadhir/0000-0003-1505-1743; Colaleo, Anna/0000-0002-0711-6319; Figueiredo, Diego/0000-0003-2514-6930; Menezes De Oliveira, Thales/0009-0009-4729-8354; Mondal, Spandan/0000-0003-0153-7590; Piccinelli, Anea/0000-0003-0386-0527; Leon Holgado, Jaime/0000-0002-4156-6460; Abuzeid, Shimaa/0000-0002-0820-0483; Dogra, Sunil Manohar/0000-0002-0812-0758; Mantilla, Cristina/0000-0002-0177-5903; Ligabue, Franco/0000-0002-1549-7107; Grohsjean, Alexander/0000-0003-0748-8494; Wilson, Jonathan/0000-0002-5672-7394; Zhang, Yousen/0000-0002-6812-761X; Palencia Cortezon, Jose Enrique/0000-0001-8264-0287; Faccioli, Pietro/0000-0003-1849-6692; Novaes, Sergio/0000-0003-0471-8549; Pásztor, Gabriella/0000-0003-0707-9762; Garutti, Erika/0000-0003-0634-5539; Robertshaw, Liam/0009-0006-5304-2492; Goldouzian, Reza/0000-0002-0295-249X; Giacomo, Bolini/0000-0001-5490-605X; Painesis, Haris/0000-0001-5061-7031; Hussain, Priya Sajid/0000-0002-4825-5278; Agicevic, Marko/0000-0003-1967-6783; Krintiras, Georgios Konstantinos/0000-0002-0380-7577; Mantilla, Cristina/0000-0002-0177-5903; Kasemann, Matthias/0000-0002-0429-2448; Jin, Weijie/0009-0009-8976-7702; Alcaraz Maestre, Juan/0000-0003-0914-7474; Duarte, Javier Mauricio/0000-0002-5076-7096; Pérez Prada, Maximilian/0000-0002-2831-463X; Long, Kenneth/0000-0003-0664-1653; Duarte, Javier Mauricio/0000-0002-5076-7096; Petrucciani, Giovanni/0000-0003-0889-4726; Rieger, Marcel/0000-0003-0797-2606; Stäger, Fabian/0009-0003-0724-7727; Navarrete Ramos, Efren/0000-0002-5180-4020; Han, Yixiao/0000-0002-3510-6505; Konstantinou, Sotiroulla/0000-0003-0408-7636; Lintuluoto, Adelina/0000-0002-0726-1452; Torres Da Silva De Araujo, Felipe/0000-0002-4785-3057; Duarte, Javier Mauricio/0000-0002-5076-7096; Assiouras, Panagiotis/0000-0002-5152-9006; Thachayath Sugunan, Aravind/0000-0001-6545-0350; Tapper, Alexander/0000-0003-4543-864X; Kolberg, Ted/0000-0002-0211-6109; Stein, Annika/0000-0003-0713-811X; Gomez-Ceballos, Guillelmo/0000-0003-1683-9460; Heikkilä, Jaana/0000-0002-0538-1469; Zaza, Angela/0000-0002-0969-7284; Novaes, Sergio/0000-0003-0471-8549; Diotalevi, Tommaso/0000-0003-0780-8785; Golf, Frank/0000-0003-3567-9351; Krintiras, Georgios Konstantinos/0000-0002-0380-7577; Blumenfeld, Barry/0000-0003-1150-1735; Zucchetta, Alberto/0000-0003-0380-1172; Röwert, Nicolas/0000-0002-4745-5470; Diotalevi, Tommaso/0000-0003-0780-8785; Khvedelidze, Arsen/0000-0002-5953-0140; Naskar, Kousik/0000-0003-0638-4378; Fernández Ramos, Juan Pablo/0000-0002-0122-313X; Cavallari, Francesca/0000-0002-1061-3877; Ruiz, Jose/0000-0002-3306-0363; Sharma, Vivek/0000-0003-1736-8795; Kasemann, Matthias/0000-0002-0429-2448; Kanuganti, Ankush Reddy/0000-0002-0789-1200; Fernandez Perez Tomei, Thiago Rafael/0000-0002-1809-5226; Smith, Nicholas/0000-0002-0324-3054; Chitroda, Bhakti/0000-0002-0220-8441; Gershtein, Yuri/0000-0002-4871-5449; Pásztor, Gabriella/0000-0003-0707-9762; Martin Perez, Cristina/0000-0003-1581-6152; Chatagnon, Pierre/0000-0002-4705-9582; Christoforou, Konstantinos/0000-0003-2205-1100; Selvaggi, Michele/0000-0002-5144-9655; Golf, Frank/0000-0003-3567-9351; Sharma, Ram Krishna/0000-0003-1181-1426; Cavallari, Francesca/0000-0002-1061-3877; Piccinelli, Anea/0000-0003-0386-0527; Noll, Dennis Daniel Nick/0000-0002-0176-2360; Matorras-Cuevas, Pablo/0000-0001-7481-7273; Riti, Federica/0000-0002-1466-9077; Dogra, Sunil Manohar/0000-0002-0812-0758; Erice Cid, Carlos Francisco/0000-0002-6469-3200;A search for flavor-changing neutral current interactions of the top quark (t) and the Higgs boson (H) is presented. The search is based on proton-proton collision data collected in 2016-2018 at a center-of-mass energy of 13 TeV with the CMS detector at the LHC, and corresponding to an integrated luminosity of 138 fb(-1). Events containing a pair of leptons with the same-sign electric charge and at least one jet are considered. The results are used to constrain the branching fraction (B) of the top quark decaying to a Higgs boson and an up (u) or charm (c) quark. No significant excess above the estimated background was found. The observed (expected) upper limits at a 95% confidence level are found to be 0.072% (0.059%) for B(t -> Hu) and 0.043% (0.062%) for B(t -> Hc). These results are combined with two other searches performed by the CMS Collaboration for flavor-changing neutral current interactions of top quarks and Higgs bosons in final states where the Higgs boson decays to either a pair of photons or a pair of bottom quarks. The resulting observed (expected) upper limits at the 95% confidence level are 0.019% (0.027%) for B(t -> Hu) and 0.037% (0.035%) for B(t -> Hc).FWF (Austria); SC (Armenia); FNRS (Belgium); FWO (Belgium); CNPq (Brazil); CAPES (Brazil); FAPERJ (Brazil); FAPERGS (Brazil); BNSF (Bulgaria); FAPESP (Brazil); MoST (China); NSFC (China); CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); MoER (Estonia); ERDF (Estonia); Academy of Finland (Finland); MEC (Finland); CEA (France); CNRS/IN2P3 (France); BMBF (Germany); DFG (Germany); HGF (Germany); NKFIH (Hungary); DAE (India); DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); NRF (Republic of Korea); MES (Latvia); MOE (Malaysia); UM (Malaysia); BUAP (Mexico); CONACYT (Mexico); UASLP-FAI (Mexico); MBIE (New Zealand); PAEC (Pakistan); FCT (Portugal); MESTD (Serbia); PCTI (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); NSTDA (Thailand); TUBITAK (Turkey); NASU (Ukraine); NSF (USA); Marie-Curie program (European Union); European Research Council (European Union); Horizon 2020 Grant (European Union) [675440, 724704, 752730, 758316, 765710, 824093, 884104]; COST Action (European Union) [CA16108]; Leventis Foundation; Alfred P. Sloan Foundation; Alexander von Humboldt Foundation; Belgian Federal Science Policy Office; Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-Belgium); Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium); FWO (Belgium) under the "Excellence of Science - EOS - be.h project [30820817]; Beijing Municipal Science & Technology Commission [Z191100007219010]; Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; Hellenic Foundation for Research and Innovation (HFRI) (Greece) [2288]; Deutsche Forschungsgemeinschaft (DFG) [EXC 2121, 390833306, 400140256 - GRK2497]; Hungarian Academy of Sciences (Hungary); Council of Science and Industrial Research, India; Latvian Council of Science; National Science Center (Poland) [Opus 2021/41/B/ST2/01369, 2021/43/B/ST2/01552]; National Priorities Research Program by Qatar National Research Fund; MCIN/AEI, ERDF "a way of making Europe"; Programa Severo Ochoa del Principado de Asturias (Spain); Chulalongkorn Academic into Its 2nd Century Project Advancement Project (Thailand); National Science, Research and Innovation Fund via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation (Thailand) [B05F650021]; Kavli Foundation; Nvidia Corporation; SuperMicro Corporation; Welch Foundation [C-1845]; Weston Havens Foundation (USA); BMBWF (Austria); MES (Bulgaria); CERN; CAS (China); MINCIENCIAS (Colombia); MSES (Croatia); ERC PUT (Estonia); HIP (Finland); GSRI (Greece); MSIP (Republic of Korea); LAS (Lithuania); CINVESTAV (Mexico); LNS (Mexico); SEP (Mexico); MOS (Montenegro); MES (Poland); NSC (Poland); MCIN/AEI (Spain); MST (Taipei); MHESI (Thailand); TENMAK (Turkey); STFC (United Kingdom); DOE (USA); F.R.S.-FNRS (Belgium); New National Excellence Program - UNKP (Hungary); NKFIH (Hungary) [K 124845, K 124850, K 128713, K 128786, K 129058, K 131991, K 133046, K 138136, K 143460, K 143477, 2020-2.2.1-ED-2021-00181, TKP2021-NKTA-64]; Ministry of Education and Science [2022/WK/14]; Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia Maria de Maeztu (Spain) [MDM-2017-0765]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). Individuals have received support from the Marie-Curie program and the European Research Council and Horizon 2020 Grant, Contracts No. 675440, No. 724704, No. 752730, No. 758316, No. 765710, No. 824093, No. 101115353, No. 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 No. 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 No. FR-22-985 (Georgia); the Deutsche Forschungsgemeinschaft (DFG), among others, under Germany's Excellence Strategy-EXC 2121 "Quantum Universe"-No. 390833306, and under Project No. 400140256-GRK2497; the Hellenic Foundation for Research and Innovation (HFRI), Project No. 2288 (Greece); the Hungarian Academy of Sciences, the New National Excellence Program-UNKP, the NKFIH research Grants No. K 131991, No. K 133046, No. K 138136, No. K 143460, No. K 143477, No. K 146913, No. K 146914, No. K 147048, No. 2020-2.2.1-ED-2021-00181, and No. TKP2021-NKTA-64 (Hungary); the Council of Science and Industrial Research, India; ICSC-National Research Center 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 No. 2021/41/B/ST2/01369 and No. 2021/43/B/ST2/01552 (Poland); the Fundacao para a Ciencia e a Tecnologia, Grant No. 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 No. 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 No. B39G670016 (Thailand); the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, Contract No. C-1845; and the Weston Havens Foundation (USA).Science Citation Index Expande