Recent advances and challenges in single-atom catalysts for proton exchange membrane water electrolysis by Wei Xia, Jinyang Zhang, Guangyu Xu, Ting Jin, Qinglun Wang, Lifang Jiao

“…Hydrogen energy represents a promising alternative to fossil fuels, with the potential to facilitate sustainable development in the future. …”
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Supercritical methanolysis of leather tanning waste biomass: experimental investigation, process simulation, and sustainable biodiesel production by Moatasem Kamel, Leonardo Vitali, Ahmed Abdelnour, Amr A. Abdullah, Abo-alhassan N. Hassan

“…Conclusions This study presents a comprehensive approach to biodiesel production from LTW, demonstrating an efficient and sustainable alternative to conventional methods. …”
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Homogeneous Catalytic Conversion of Agricultural Waste Corn Stalks into High-Value Platform Molecules by Zixiao YI, Yongjian ZENG, Zhiwei JIANG, Rongliang QIU, Kai YAN

“…Biomass, a widely available and abundant renewable resource, exhibits significant potential as a substitute for traditional fossil energy. A critical step in the efficient utilization of biomass is its catalytic conversion into platform molecules, such as furfural and 5-hydroxymethylfurfural (HMF). …”
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Effects of pruning on canopy microenvironment, branch composition and nut quality in Xinjiang walnut by HAN Liqun, ZHAO Yu, ZHAO Guoqing, ZHANG Hui, MA Kai

“…The suitable pruning can enhance ventilation and light penetration within the canopy, improve photosynthetic capacity and light energy utilization efficiency, thereby establishing a better balance between vegetative and reproductive growth, and ultimately increasing the fruit quality. …”
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From experts to citizens: Co-creating neighbourhood coziness metrics by Leandro Martín Ferrón, Cruz Borges, Aitziber Mugarra Elorriaga, Oxana Soimu

“…Findings show building energy efficiency, air quality, and proximity to essential services were most critical, while technical metrics like smart energy management systems and advanced electric vehicle infrastructure ranked lower, highlighting a disconnect between expert prioritization and public perception. …”
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Advanced Battery Management for Electric Vehicles: Charge Monitoring and Fire Security by Romaisa Shamshad Khan, Abdul Aziz, Rehan Babar, Kashif Abbas, Nusri Elahi, Muhammad Abdullah Abdullah

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RISKS REDUCING THROUGH INTELLIGENT HEADLIGHT MANAGEMENT: OPTIMIZING Q-LEARNING FOR ELECTRIC VEHICLES by Pitchaya Jamjuntr, Chanchai Techawatcharapaikul, Pannee Suanpang

“…Evaluation of the performance of the adaptive Q-learning system is presented in this study in terms of safety metrics such as visibility distance and energy efficiency indicators such as power consumption through comprehensive simulations across various turning scenarios. …”
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Developing the relationship between organizational capability and sustainable development dimensions with the mediating role of organizational focus in the sustainable electricity... by Seyed Nader Mirian, Abbas Sheikh Aboumasoudi, Ali Sheikh Aboumasoudi, Shakiba Khademolqorani

“…On the other hand, formulating incentive policies and managerial mechanisms to reduce energy losses and increase efficiency can guide employees toward achieving organizational goals, resulting in cost reduction and increased profitability.This study presents a comprehensive framework for developing organizational capacities that can serve as a guideline for managers in navigating the dynamic environment of the electricity industry. …”
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RISKS REDUCING THROUGH INTELLIGENT HEADLIGHT MANAGEMENT: OPTIMIZING Q-LEARNING FOR ELECTRIC VEHICLES by Pitchaya Jamjuntr, Chanchai Techawatcharapaikul, Pannee Suanpang

“…Evaluation of the performance of the adaptive Q-learning system is presented in this study in terms of safety metrics such as visibility distance and energy efficiency indicators such as power consumption through comprehensive simulations across various turning scenarios. …”
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Municipal Solid Waste Challenges in Ethiopia and Valorizing the Potential of the Organic Waste Fraction for Composting and Bioenergy by Abu Duguma Debele, Workineh Mengesha Fereja

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Exploring the Role of Artificial Intelligence in Wastewater Treatment: A Dynamic Analysis of Emerging Research Trends by Javier De la Hoz-M, Edwan Anderson Ariza-Echeverri, Diego Vergara

“…Artificial intelligence (AI) has emerged as a transformative technology capable of optimizing various wastewater treatment processes, such as contaminant removal, energy consumption, and cost-efficiency. This study presents a comprehensive bibliometric analysis of AI applications in wastewater treatment, utilizing data from Scopus and Web of Science covering 4335 publications from 1985 to 2024. …”
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Nanostructures and Nanomaterials Integrated into Triboelectric Nanogenerators by Shujie Yang, Victor Klinkov, Natalia Grozova, Svetlana Shalnova, Tatiana Larionova, Oleg Tolochko, Olga Klimova-Korsmik

“…This review provides a comprehensive overview of recent advancements in integrating nanostructures and nanomaterials into TENGs, elucidating their roles, advantages, and underlying mechanisms in enhancing energy conversion efficiency, while identifying key challenges and proposing future research directions.…”
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Hamiltonian-Based Approach to Enhance the Stability of Hybrid Fuel Cell and Supercapacitor Sources by Pongsiri Mungporn, Uthen Kamnarn, Burin Yodwong, Surin Khomfoi, Serge Pierfederici, Babak Nahid-Mobarakeh, Gianpaolo Vitale, Nicu Bizon, Phatiphat Thounthong

“…., constant power load (CPL)] and energy fluctuations. Grounded in energy-based control theory, the Hamiltonian control law accurately manages the energy exchange between the FC, SC, and external load aiming to improve system stability and response efficiency. …”
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Exploring the potential of industry 4.0 in manufacturing and supply chain systems: Insights and emerging trends from bibliometric analysis by Assiya Zahid, Patrice Leclaire, Lamia Hammadi, Roberta Costa-Affonso, Abdessamad El Ballouti

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Multi-Objective Optimization Design of Traditional Soil Dwelling Renovation Based on Analytic Hierarchy Process—Quality Function Deployment—Non-Dominated Sorting Genetic Algorithm... by Weiqin Gou, Halike Saierjiang, Jingsu Shang, Mei Yang, Tianyi Zhang

“…As the socio-economic landscape expands and tourism flourishes, the traditional earthen dwellings of Tuyugou Village, Turpan, Xinjiang, face significant challenges, including low energy efficiency and suboptimal living comfort, necessitating data-driven and scientifically robust renovation strategies. …”
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Unveiling degradation patterns in dye-sensitized solar cells: a machine learning perspective by Ahmet Sait Alali, Mahmoud Ashraf, Ahmad Muhammad, Sameh O. Abdellatif

“…The novel degradation model and the established FOM facilitate future work in analyzing other solar cell technologies, particularly extending this methodology to emerging perovskite and organic solar cells for improved efficiency and durability in renewable energy applications.…”
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Advancing Optimization Strategies in the Food Industry: From Traditional Approaches to Multi-Objective and Technology-Integrated Solutions by Esteban Arteaga-Cabrera, César Ramírez-Márquez, Eduardo Sánchez-Ramírez, Juan Gabriel Segovia-Hernández, Oswaldo Osorio-Mora, Julián Andrés Gómez-Salazar

“…However, the increasing complexity of modern food production systems has necessitated the adoption of multi-objective optimization techniques capable of balancing competing goals, such as minimizing production costs while maximizing energy efficiency and product quality. Advanced methods, including evolutionary algorithms and comprehensive modeling frameworks, enable the simultaneous optimization of multiple variables, offering robust solutions to complex challenges. …”
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MXene-Ti3C2Tx-Based Neuromorphic Computing: Physical Mechanisms, Performance Enhancement, and Cutting-Edge Computing by Kaiyang Wang, Shuhui Ren, Yunfang Jia, Xiaobing Yan, Lizhen Wang, Yubo Fan

“…MXene-Ti3C2Tx-based devices demonstrate groundbreaking potential in next-generation computing, such as near-sensor computing and in-sensor computing, enabling faster and more energy-efficient data processing directly at the sensor level.…”
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Operational Performance Assessment of PV-Powered Street Lighting: A Comparative Study of Different Machine Learning Prediction Models by Safwan Nadweh, Nabil Mohammed, Charalambos Konstantinou, Shehab Ahmed

“…In this paper, a comparative analysis of five machine learning algorithms—Linear Regression (LR), Expectation Maximization (EM), Random Forest (RF), Deep Belief Networks (DBNs), and Deep Neural Networks (DNNs)—is conducted to predict the operational conditions of PV-powered streetlights based on luminance levels and energy consumption. A comprehensive database is created and used to train the proposed algorithms. …”
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Optimal scheduling of solar powered EV charging stations in a radial distribution system using opposition-based competitive swarm optimization by Isha Chandra, Navneet Kumar Singh, Paulson Samuel, Mohit Bajaj, Arvind R. Singh, Ievgen Zaitsev

“…These findings demonstrate that solar-powered EV charging stations, coupled with advanced energy management strategies, can effectively mitigate grid impacts, enhance operational efficiency, and contribute to reducing net carbon emissions.…”
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