Finite Element Analysis of Friction-Induced Stress Concentrations in Press Fits with Chamfer Hubs by Eulalia Izard, Roberto García-Martín, Manuel Rodríguez-Martín, Miguel Lorenzo

“…The interference fit is a common process for the assembly of mechanical parts on a shaft for diverse mechanical engineering applications. …”
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Efficient CNN architecture with image sensing and algorithmic channeling for dataset harmonization by Khadija Kanwal, Khawaja Tehseen Ahmad, Aiza Shabir, Li Jing, Helena Garay, Luis Eduardo Prado Gonzalez, Hanen Karamti, Imran Ashraf

“…Abstract The process of image formulation uses semantic analysis to extract influential vectors from image components. …”
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The Role of the Political Elite in the Development of Society A theoretical Study in the Kurdistan Region by Twana Othman Mohamedamen

“…With no doubt of that, the political elites in human societies play a prominent role in the processes of change towards social development,  in all social forms. …”
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Artificial intelligence-based optimization and modeling of cadmium reduction via ultraviolet-assisted malathion/sulfite reaction mechanisms by Hossein Azarpira, Parsa Khakzad, Tayebeh Rasolevandi, Amir Sheikhmohammadi

“…The GA model refined the input parameters, enhanced the other phases of the removal of cadmium, and further optimized the overall process. Feature importance analysis revealed that the most influential factors in both models were related to the concentrations of malathion, and sulfite, with malathion (X4) emerging as the most critical parameter. …”
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Optimization in Routing and Vehicle Selection for E-commerce Last Mile Logistics: Bibliometric Analysis by Sari Andarwati Kunharyanto, Ratna Mayasari, Dili Oktaviana

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Análisis bibliométrico, tecnologías disruptivas y gerencia de las instituciones educativas: una revisión de scopus y wos en el último quinquenio by Claudia Liliana Serrano Junco, Julián Alberto Agudelo Idárraga, Andrea del Pilar García Donato

“…The mechanisms used for the management and coordination of administrative processes in the management of educational institutions have acquired a relevant importance over time, especially when the use of disruptive technologies is adopted in these processes as a performance or action that technifies, improves and facilitates said processes, since it allows a transformation for educational quality and decision-making; in turn, Information and Communication Technologies have transformed the way education is taught, they have opened up new possibilities for learning and teaching. …”
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An In-depth Investigation of OBIA Classification with High-Resolution Imagery: Unravelling the Explanations Behind Deep Learning and Machine Learning by E. O. Yilmaz, T. Kavzoglu

“…The SHAP analysis indicated that the HSI transform was the most influential factor in the XGBoost algorithm’s decision-making process whereas the average DN values of the green band were the most effective feature for the CNN model. …”
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Narrativas emergentes: uso de las redes sociales y vivencias digitales en el ámbito educativo by Mario Alexi Isidro Delgado, Leydi Lorena Vasquez Ruiz, Surgei Bolivia Caicedo Villamizar

“…Subsequently, a semi-structured interview was conducted. The data analysis process was carried out through data triangulation. …”
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Knowledge Extraction from Trained ANN River Water Quality Parameters by Pali Sahu, Shreenivas Londhe, Preeti Kulkarni

“…The approach developed by Shah and Londhe in 2017 is employed for the process. By accurately evaluating the effect of the input parameters on the water quality parameter as directly or inversely proportional along with the magnitude of influence; is supported by the physics of the underlying process. …”
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Medical Students’ Perception on the Ideal Lecturer Attributes in Problem-Based Learning on the Onion Model Theory by M. Ramses Erlangga, Vivi Meidianawaty, Tissa Octavira Permatasari

“…In addition, an effective teaching process from lecturers to students is very influential in producing a qualified doctor. …”
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Transitioning health workers from PEPFAR contracts to the Uganda government payroll by Everd, Bikaitwoha Maniple

“…At the national level, multi-sectoral engagements (incorporating the influential Ministry of Finance), developing a joint transition road map, aligning with GoU salary scales and recruitment processes emerged as facilitators of the transition process. …”
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Industry 4.0, circular economy and sustainability in the food industry: a literature review by Juan Carlos Quiroz-Flores, Renato Jose Aguado-Rodriguez, Edisson Andree Zegarra-Aguinaga, Martin Fidel Collao-Diaz, Alberto Enrique Flores-Perez

“…Findings – The results show different contributions of I4.0, with some being more influential than others in improving sustainability in FSCs; for example, Internet of Things and Blockchain have been shown to contribute more toward transparency, traceability, process optimization and waste reduction. …”
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Perceived Stress and Society-Wide Moral Judgment by Yi Chen, Junfei Lu, David I. Walker, Wenchao Ma, Andrea L. Glenn, Hyemin Han

“…This study examines the relationship between perceived stress and society-wide moral judgment by integrating two influential frameworks: the neo-Kohlbergian approach and the CNI model of utilitarian-deontological decision-making. …”
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THE IMAGE OF THE HEAD OF AN EDUCATIONAL INSTITUTION: A RETROSPECTIVE CONTENT ANALYSIS OF THE CONCEPT by Lavrentieva Olena Oleksandrivna, Arbuzova Anastasia Andreevna

“…The article analyses the meaning and role of image in professional activity. The process of formation of the content of the «image» concept, its semantic connections and relations have been investigated in a historical retrospective from the Ancient World to until now. …”
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Machine learning-based prediction of CO2 solubility in methyldiethanolamine solutions: A comparative study by Sajjad Fazeli, Mohammad Amin Moradkhani, Behrouz Bayati

“…Methyldiethanolamine (MDEA) is a widely used solvent in carbon capture processes owing to its high absorption capacity. However, there is a lack of comprehensive predictive tools for estimating CO2 solubility in MDEA-based solution. …”
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Multi-Response Optimization in AA6063/SS304 Bimetalic Friction Welding using Taguchi Grey Relational Analysis by S. Senthil Murugan, M. Vishnoi, S. Kattimani, T. G. Mamatha

“…The results indicated that the welding speed was the most influential parameter. Weld pressure also influenced the weld zone’s hardness. …”
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ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI MINAT SISWA DALAM PENGAMBILAN KEPUTUSAN MEMILIH JURUSAN AKUNTANSI KELAS X DI SMK N 1 DEMAK by Turina Lasriza Hayurika, Sandy Arief

“…The dominant factor influential namely gender difference which embeds in it values the coefficients variant 27,157%.  …”
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Utilization of Ensemble Techniques in Machine Learning to Predict the Porosity and Hardness of Plasma-Sprayed Ceramic Coating by N. Radhika, M. Sabarinathan, S. Sivaraman

“…To address this challenge, the present study employs advanced machine learning ensemble techniques, including bagging, boosting, stacking, weighted averaging, voting, and hybrid methods, to accurately predict the porosity and hardness of plasma-sprayed ceramic coatings based on key process parameters. Feature engineering identifies input power and spray distance as the most influential factors affecting coating properties. …”
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Evaluation Uncertainty in the Volume of Oil in Place in Mishrif Reservoir by Loay Khamees, Farah Abdulrazzaq

“…These are typically denoted as P90 throughout the estimating process. P10 refers to the total of potential and probable reserves, and P50 refers to proven and probable reserves. …”
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Robust prediction of chlorophyll-A from nitrogen and phosphorus content in Philippine and global lakes using fine-tuned, explainable machine learning by Karl Ezra Pilario, Eric Jan Escober, Aurelio de los Reyes V, Maria Pythias Espino

“…We found that fine-tuned Kernel Ridge Regression and Gaussian Process Regression are consistently the most accurate (>80%) and robust models in both case studies. …”
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