The relationship of students’ emotional intelligence and the level of their readiness for online education: A contextual study on the example of university training in Saudi Arabia... by A. M. Alenezi

“…The analysis of the survey data showed the variance between the measured respondents’ characteristics depending on the area of specialisation. If compared with the Sciences and Arts students, the representatives of the Faculties IT and Pharmacy demonstrated higher level skills to undertake online training, more expressed skills of self-control and computer selfefficacy. …”
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Implementation and Performance Evaluation of Quantum Machine Learning Algorithms for Binary Classification by Surajudeen Shina Ajibosin, Deniz Cetinkaya

“…In this work, we studied the use of Quantum Machine Learning (QML) algorithms for binary classification and compared their performance with classical Machine Learning (ML) methods. …”
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Deep Learning Empowered Service Selection in FANETs: A 5G-Enabled UAV-Cloud Architecture by Mohamed Ben Bezziane, Messaoud Abbas, Hessa Alfraihi, Bouziane Brik, Yacine Khaldi, Oussama Aiadi, Hasan Siham

“…Flying Ad-Hoc Networks (FANETs), commonly referred to as drones or Unmanned Aerial Vehicles (UAVs), are increasingly transforming various industries by supporting numerous applications. In this context, a UAV can function as a cloud service provider, offering services such as memory, computing, and network connectivity to consumer UAVs. …”
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Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…This approach surpasses traditional readability indices, offering substantial benefits for content creation and knowledge management in fields like education, business, technical support, and policy platforms. Strategic Insights into Blockchain Adoption in Automotive Supply Chains: A Comparative AHP-TOPSIS and TISM-MICMAC Analysis The authors explore blockchain adoption in the automotive industry using a multidisciplinary approach involving AHP, TOPSIS, TISM, and MICMAC analyses. …”
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RADAI: A Deep Learning-Based Classification of Lung Abnormalities in Chest X-Rays by Hanan Aljuaid, Hessa Albalahad, Walaa Alshuaibi, Shahad Almutairi, Tahani Hamad Aljohani, Nazar Hussain, Farah Mohammad

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Analyzing Agricultural Land Price Prediction Using Linear Regression and XGBoost Machine Learning Algorithms: A Case Study of Çanakkale by Simge Doğan, Levent Genç, Sait Can Yücebaş, Metin Uşaklı

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Determining optimal strategies for primary prevention of cardiovascular disease: a synopsis of an evidence synthesis study by Olalekan A Uthman, Lena Al-Khudairy, Chidozie Nduka, Rachel Court, Jodie Enderby, Seun Anjorin, Hema Mistry, G J Melendez-Torres, Sian Taylor-Phillips, Aileen Clarke

“…Comparing treatments: we compared results from 139 clinical trials with over 1 million participants to rank how well different strategies work. …”
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Fluid-Dynamic and Structural Optimization of a Suction-Enabled Autonomous Grass-Cutter Robot by Shenoy Adithya Kamalaksha, Abhishek Kumar, Rithvik Marneni, Kamarul Arifin Ahmad, Spoorthi Singh, Sharul Sham Dol

“…To fill this gap, this work introduces a novel, multi-domain integration framework combining structural finite-element analysis (FEA), computational fluid dynamics (CFD) with analytical ΔP–Q and Reynolds number modelling, URDF-based Webots simulation, and Python-driven parametric studies, a unified approach not found in prior grass-cutter robot studies. …”
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Hypoxia induces robust ATP release from erythrocytes in ApoE-LDLR double-deficient mice by Fatih Celal Alcicek, Fatih Celal Alcicek, Jakub Dybas, Katarzyna Bulat, Tasnim Mohaissen, Tasnim Mohaissen, Ewa Szczesny-Malysiak, Magdalena Franczyk-Zarow, Katarzyna M. Marzec

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Air Quality and Healthy Ageing: Predictive Modeling of Pollutants Using CNN Quantum-LSTM by Fareena Naz, Muhammad Fahim, Adnan Ahmad Cheema, Bradley D. E. Mcniven, Tuan-Vu Cao, Ruth Hunter, Trung Q. Duong

“…Rapid growth in global population and urbanisation requires substantial efforts to ensure healthy and supportive environments to improve the quality of life, closely aligned with the principles of healthy ageing. …”
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A Multimodal Pain Sentiment Analysis System Using Ensembled Deep Learning Approaches for IoT-Enabled Healthcare Framework by Anay Ghosh, Saiyed Umer, Bibhas Chandra Dhara, G. G. Md. Nawaz Ali

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SCGAN-enhanced surrogate modeling for FEM analysis of induction motors: A practical use case by Unai Salaberria-Flaño, Antonio Nappa, Arkaitz Artetxe, Gurutz Artetxe, Iñaki Inza

“…Despite their advantages, the application of these techniques in industry is still underexplored, particularly for induction motors. The present work aims to bridge this exact gap, considering the modeling of a radial flux, inner rotor, squirrel cage induction motor. …”
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Partnerships as Professional Learning: Early Childhood Teaching Assistants’ Role Development and Navigation of Challenges Within a Culturally Responsive Robotics Program by Hannah R. Thompson, Lori A. Caudle, Frances K. Harper, Margaret F. Quinn, Mary Kate Avin, The CRRAFT Partnership

“…Accordingly, early childhood educators both require substantial support when integrating culturally responsive computing into curriculum and instruction and offer valuable perspectives on emerging practices. …”
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Prediction of porosity, hardness and surface roughness in additive manufactured AlSi10Mg samples. by Fatma Alamri, Imad Barsoum, Shrinivas Bojanampati, Maher Maalouf

“…For this purpose, data including porosity, surface hardness, and roughness were extracted from the literature, and additional measurements were performed on additive manufactured samples in the current work. This work compares five supervised machine learning algorithms, including artificial neural networks, support vector regression, kernel ridge regression, random forest, and Lasso regression. …”
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IM- LTS: An Integrated Model for Lung Tumor Segmentation using Neural Networks and IoMT by Jayapradha J, Su-Cheng Haw, Naveen Palanichamy, Kok-Why Ng, Senthil Kumar Thillaigovindhan

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Coarse-Grained Hawkes Processes by Shinsuke Koyama

“…The introduced model, termed the coarse-grained Hawkes process, effectively captures the second-order statistical characteristics of the bin-count representation of the Hawkes process, particularly when the bin size is large relative to the typical support of the excitation kernel. Building upon this model, we develop a method for inferring the underlying Hawkes process from bin-count observations, and demonstrate through simulation studies that the proposed approach performs comparably to, or even surpasses, existing techniques, while maintaining computational efficiency in parameter estimation.…”
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Molecular Docking of Endolysins for Studying Peptidoglycan Binding Mechanism by Arina G. Arakelian, Gennady N. Chuev, Timur V. Mamedov

“…As a result, the previously obtained experimental results on peptidoglycan binding of the isolated gamma phage endolysin PlyG enzymatically active domain were supported by molecular docking. Both methods predicted that single-domain endolysins are able to bind peptidoglycan, with Autodock Vina being able to give accurate numerical estimates of protein–ligand affinities and 3D-RISM providing comparative values.…”
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Calculation of a heat exchanger using heat pipes in the exhaust air heat recovery system by A. S. Zaitsev, M. V. Shamarov, R. A. Zhlobo, E. O. Ivchenko

“…The research is based on methods of thermodynamic analysis, full-scale and computational modeling of processes and objects of refrigeration and cryogenic technology, air conditioning and life support systems. …”
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Determinants of doctor-doctor relationships among academic and clinical staff at a university hospital, Cairo, Egypt: a mixed method study by Shaimaa Samy Yousef, Maha El Gaafary, Sahar Mohamed Sabbour, Sally Adel Hakim, Yosra S. Abd El-Ghaffar, Abeer Hassan Ahmed, Omar Matar, Hoda I. Fahim

“…For the qualitative part, six themes were generated: Factors affecting relations with colleagues both specifically and generally; Reliability of the statement: “When I become a senior, I will treat juniors the same way I was treated”; Causes of strained relationships between colleagues and reflections from personal experiences; Factors that enhance colleague relationships and reflections from personal experiences; Behavior of colleagues in the department when someone faces accountability: and Qualities of an ideal doctor and suggestions for creating a better doctor-to-doctor work environment. Conclusion The study emphasized the importance of creating a supportive academic and professional environment for medical staff, addressing their practical and emotional needs. …”
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Optimization of management of patients with critical lower limb ischemia, allowing for risk of gangrene by A. V. Bykov, N. A. Korenevsky, S. A. Parkhomenko, I. I. Khripina

“…The obtained mathematical models should be used in the medical practice of vascular surgeons and angiologists, both in the form of software for smartphones and tablet computers, and as part of decision support systems, including telemedicine systems.…”
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