Development of a photoelectrode based on a bismuth(iii) oxyiodide/intercalated iodide-poly(1H-pyrrole) rough spherical nanocomposite for green hydrogen generation by Alkallas Fatemah H., Trabelsi Amira Ben Gouider, Elsayed Asmaa M., Rabia Mohamed

“…Furthermore, spectral response studies across various wavelengths revealed adaptable behavior based on photon energy, underscoring its versatility in different lighting environments. With its compelling combination of high photoelectrochemical efficiency, structural stability, and economic viability, the Bi(iii)OI/I-P1HP RS-nanocomposite emerges as a promising candidate for scalable, eco-friendly hydrogen generation. …”
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Applications of Snow Ablation Optimizer for Sustainable Dynamic Dispatch of Power and Natural Gas Assimilating Multiple Clean Energy Sources by Subhamay Basu, Mousumi Basu, Chitralekha Jena, I. M. Elzein, Wulfran Fendzi Mbasso, Mohamed Metwally Mahmoud, Alfian Ma'arif, Khaled A. Metwally, Salma Abdelaal Shaaban

“…The numerical results obtained from the suggested SAO are matched with the results obtained from the self‐organizing hierarchical‐particle‐swarm‐optimizer with time‐varying acceleration coefficients and differential evolution. …”
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Network topology optimization by turning non-scale-free networks into scale-free networks using nonlinear preferential rewiring method by Feng Su, Peijiang Yuan, Yuanwei Liu, Shuangqian Cao

“…In practical application, the generation and evolution of many real networks always do not follow rigorous mathematical model, making network topology optimization a great challenge in the field of complex networks. …”
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Opposition-based learning techniques in metaheuristics: classification, comparison, and convergence analysis by Rihab Lakbichi, Farouq Zitouni, Saad Harous, Aridj Ferhat, Abdelhadi Limane, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed

“…To systematically assess the effectiveness of these techniques, five widely used OBL variants—basic opposition-based learning, quasi-opposition-based learning, generalized opposition-based learning, current optimum opposition-based learning, quasi-reflection opposition-based learning—were selected for implementation within five well-established MAs: differential evolution, genetic algorithm, particle swarm optimization, artificial bee colony, and harmony search. …”
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The roles of permitting times and grid expansion capacity in industrial decarbonization – A case study of the electrification of Swedish industry by Sebastian Karlsson, Johanna Beiron, Fredrik Normann, Filip Johnsson

“…In the modeling, we assume that the required CO2-free power generation is installed alongside the grid expansion. …”
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Driving Forces and Future Scenario Simulation of Urban Agglomeration Expansion in China: A Case Study of the Pearl River Delta Urban Agglomeration by Zeduo Zou, Xiuyan Zhao, Shuyuan Liu, Chunshan Zhou

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Defining the Optimal Ranges of Tourist Visits in UNESCO World Heritage Caves with Rock Art: The Case of El Castillo and Covalanas (Cantabria, Spain) by Angel Fernandez-Cortes, Eduardo Palacio-Perez, Tamara Martin-Pozas, Soledad Cuezva, Roberto Ontañon, Javier Lario, Sergio Sanchez-Moral

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Revised recommendations from the CSO-HNS taskforce on performance of tracheotomy during the COVID-19 pandemic – what a difference a year makes by D. D. Sommer, D. Cote, T. McHugh, M. Corsten, M. A. Tewfik, S. Khalili, K. Fung, M. Gupta, N. Sne, P. T. Engels, E. Weitzel, T. F. E. Brown, J. Paul, K. M. Kost, J. A. Anderson, L. Sowerby, D. Mertz, I. J. Witterick

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Meshless Numerical Simulation on Dry Shrinkage Cracking of Concrete Piles for Offshore Wind Power Turbine by Cong Hu, Jianfeng Xue, Taicheng Li, Haiying Mao, Haotian Chang, Wenbing Zhang

“…However, the fundamental mechanism of concrete pile cracking during dry shrinkage—particularly the coupled effects of moisture diffusion, meso-structural heterogeneity, and stress evolution—remains poorly understood, lacking a unified theoretical framework. …”
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An intelligent incentive-based demand response program for exhaustive environment constrained techno-economic analysis of microgrid system by Bishwajit Dey, Gulshan Sharma, Pitshou N. Bokoro, Soham Dutta

“…These scenarios also include the implementation of demand response programmes. Differential evolution algorithm was used as the optimization tool for the study. …”
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Dynamic Programming-Based Approach to Model Antigen-Driven Immune Repertoire Synthesis by Alexander S. Bratus, Gennady Bocharov, Dmitry Grebennikov

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Integrating AI Deep Reinforcement Learning With Evolutionary Algorithms for Advanced Threat Detection in Smart City Energy Management by Fenghua Liu, Xiaoming Li

“…This study explores how the synergy between DRL and EAs, including Genetic Algorithms (GAs) and Differential Evolution (DE), can enhance the efficiency and sustainability of smart city energy systems. …”
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Research progress on test scenario of ship autonomous navigation by Lijia CHEN, Kai WANG, Liwen HUANG, Shengwei LI, Xinwei ZHOU, Yanzhi LIU

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Microstructural characterization and hardness prediction of AlCuCrFeNi high entropy alloys using Transformer-based Physics-Informed Neural Networks (T-PINN) by Mohamed Yasin Abdul Salam, Enoch Nifise Ogunmuyiwa, Victor Kitso Manisa, Abid Yahya, Irfan Anjum Badruddin

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Development of a Non-Uniform Heat Source Model for Accurate Prediction of Wheel Tread Temperature on Long Downhill Ramps by Jinyu Zhang, Jingxian Ding, Jianyong Zuo

“…A thermomechanical coupled finite element model was established, incorporating a moving heat source to analyze the effects of different models on wheel tread temperature distribution and its evolution over time. …”
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Examining Adaptive E-Learning Approaches to Enhance Learning and Individual Experiences by Fateh Benkhalfallah, Mohamed Ridda Laouar, Mohamed Salah Benkhalfallah

“…The concept of individualization has emerged as an essential advance in education, representing a paradigm shift adopted by educational systems worldwide. This paradigm evolution aims to optimize student performance by harnessing the potential of diverse e-learning platforms tailored to individual needs. …”
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Balancing accuracy and user satisfaction: the role of prompt engineering in AI-driven healthcare solutions by Mini Han Wang, Mini Han Wang, Mini Han Wang, Mini Han Wang, Mini Han Wang, Xudong Jiang, Xudong Jiang, Xudong Jiang, Xudong Jiang, Peijin Zeng, Peijin Zeng, Peijin Zeng, Xinyue Li, Kelvin Kam-Lung Chong, Guanghui Hou, Xiaoxiao Fang, Yang Yu, Xiangrong Yu, Junbin Fang, Yi Pan

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Wellcounter: Automated high‐throughput phenotyping for aquatic microinvertebrates by Claus‐Peter Stelzer, Dominique Groffman

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Optimising management against dynamic threats: A spatially explicit approach based on integer programming by José Salgado‐Rojas, Virgilio Hermoso, Eduardo Álvarez‐Miranda

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Definition of metafounders based on population structure analysis by Christine Anglhuber, Christian Edel, Eduardo C. G. Pimentel, Reiner Emmerling, Kay-Uwe Götz, Georg Thaller

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