Methane Synthesis as a Source of Energy Loss Impacting Microbial Protein Synthesis in Beef Cattle—A Review by Wilmer Cuervo, Camila Gomez-Lopez, Nicolas DiLorenzo

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Performance Prediction and Analysis of Solar-Assisted Ground-Source Heat Pump Systems in Typical Rural Areas, China by Ying Cao, Zhibin Zhang, Guosheng Jia, Jianyu Zhai, Jianke Hao, Meng Zhang, Liwen Jin

“…The increasingly severe energy crisis and associated environmental issues pose new challenges for the efficient and rational utilization of renewable energy. …”
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Active Distribution Network Source–Network–Load–Storage Collaborative Interaction Considering Multiple Flexible and Controllable Resources by Sheng Li, Tianyu Chen, Rui Ding

“…Central among these, it is imperative to optimize resource allocation and enhance the efficient utilization of diverse energy sources, with particular emphasis on seamless integration of renewable energy systems into existing infrastructure. …”
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Sustainable biomass-based filter for high-efficiency PM0.3 filtration by Qingxiang Wang, Zhaoxuan Niu, Wanli Cheng, Ming Yang, Jie Yan, Jiqing Lu, Haijiao Yu, Yiying Yue, Yen Wei, Dong Wang, Shichao Zhang, Bin Ding, Guangping Han

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A Holistic Approach to the Efficient Estimation of Operational Flexibility From Distributed Resources by Nikolaos Savvopoulos, Nikos Hatziargyriou, Hannu Laaksonen

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Enhanced energy conversion efficiency in PVDF/WS2 hybrid piezoelectric nanogenerators by Munni, Himani, Shilpa Rana, Jasvir Dalal, Bharti Singh

“…Finally, the fabricated nanogenerator is utilized to harvest the mechanical energy from human motions, such as, finger tapping, thumb tapping etc. …”
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Based on regional heterogeneity: measurement of hospital service efficiency and analysis of spatial effects by Qianwen Song, Anyu Ye, Mengting Zhou, Ting Chen, Wenlian Jiang

“…Efficiency comparisons were made using regional and common frontiers, while the technical gap and its decomposition index were applied to identify the sources of efficiency disparities among regions. …”
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Synergy of Energy Efficiency and Industry 4.0 in the Post-War Modernization of Ukraine by Sydorenko Oleksandr M.

“…The importance of the transition to renewable energy sources is emphasized, as their integration into industry and the utility sector can be strengthened by digital tools for tracking and forecasting consumption indicators, which helps to shape efficient business models and accelerate post-war modernization. …”
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Integration of Daylight in Building Design as a Way to Improve the Energy Efficiency of Buildings by Adrian Trząski, Joanna Rucińska

“…According to the United Nations Environment Programme reports, buildings are responsible for nearly 40% of energy-related emissions; therefore, energy-optimized building design is crucial to reduce the reliance on non-renewable energy sources as well as greenhouse gas emissions. The OECD reports indicate the use of Building Information Modelling (BIM) as one of the effective strategies for decarbonization of buildings, since a 3D digital representation of both physical and functional characteristics of a building can help to design a more efficient infrastructure. …”
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Energy-efficient synchronization for body sensor network in the metaverse: an optimized connectivity approach by Altaf Hussain, Tariq Hussain, Razaz Waheeb Attar, Ahmed Alhomoud, Mrim M. Alnfiai, Reem Alsagri

“…WBSNs face numerous major challenges that impact their efficiency and performance. Energy consumption remains a critical issue, as sensor nodes operate on limited power sources, leading to reduced network longevity. …”
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A Multispectral Automated Transfer Technique (MATT) for Machine-Driven Image Labeling Utilizing the Segment Anything Model (SAM) by James E. Gallagher, Aryav Gogia, Edward J. Oughton

“…By transposing SAM segmentation masks from RGB images we can automatically segment and label multispectral imagery with high precision and efficiency. For example, the results demonstrate that segmenting and labeling a 2,400-image dataset utilizing MATT achieves a time reduction of 87.8% in developing a trained model, reducing roughly 20 hours of manual labeling, to only 2.4 hours. …”
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Feasible Solutions for Low-Carbon Thermal Electricity Generation and Utilization in Oil-Rich Developing Countries: A Literature Review by Danny Ochoa-Correa, Paul Arévalo, Edisson Villa-Ávila, Juan L. Espinoza, Francisco Jurado

“…This review uses the PRISMA methodology to systematically assess the current state and prospects of low-carbon thermal electricity generation and utilization technologies in ORDCs. The study emphasizes clean thermal technologies such as biogas, biofuels, biomass, hydrogen, and geothermal energy, focusing on solutions that are technically feasible, economically viable, and efficient in combustion processes. …”
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Isolation and characterization of cellulose derived from prominent agricultural waste (Sugarcane bagasse) and its utilization in various biomedical field by Manoj Kumar Sharma, Anupama Diwan, Satish Sardana, Narender Yadav, Tanya Gupta, Mukesh Kumar Kumawat

“…These extracted celluloses were further subjected to various pharmacopeial, micromeritics, and physiochemical properties assessments, including advanced characterization to evaluate and validate the properties of the products, which signifies more efficient, green extraction and pharmacopeial utilization.…”
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Utilizing maritime caves for wave energy: wells turbine performance and household power supply from cave-generated electricity by Wilson M. L. Monteiro, António Sarmento, Bruno Semedo, Arider Carvalho, Tomás Tavares, Jakson A. L. Monteiro

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A novel multi-source data-driven energy consumption prediction model for Venlo-type greenhouses in China by Yangda Chen, Aiqun Bao, Yapeng Li, Yingfeng Xiang, Wanlong Cai, Zhaoqiang Xia, Jialei Li, Mingyang Ning, Jing Sun, Haixi Zhang, Xianpeng Sun, Xiaoming Wei

“…Therefore, energy consumption prediction methods that incorporate multi-source data are necessary. To overcome the challenges concerning heterogeneity, redundancy, and interdependence among different data sources, this paper proposed a novel energy consumption method that integrates multi-source data through feature engineering and machine learning techniques, which significantly enhances the efficiency of data utilization and improves prediction accuracy. …”
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Speculation resource provisioning in high-performance computing by Leena Sri, Balaji Narayanan

“…We have conveyed our proposed work in an open source cloud structure and contrasted our outcomes and other machine learning approaches. …”
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Design a system to transfer alternating electric current using six channels of laser as an embedding and transmitting source by Edwar Basma Bashar, Ali Abdulkareem Kadhim, Edwar Balsam Bashar

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Design of Thermoelectric Cooling System for Heat Removal from Non-uniform Distributed Heat Source in Cell Phones by Zhang Jinyang, Cao Lili, Miao Min

“…As a result, chip temperature was reduced from 48 to 34 ℃, and the utilization of a full load chip was improved by approximately 20%, whichserves as a solution to the problem of cooling heat sources with non-uniform distribution.…”
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The Sources and Quantification of Soil Water in the Root Zone of Typical Crops in the Shajiang Black Soil Region of Huaibei Plain by ZHU Wanting, ZHU Yonghua, WANG Qimeng, LÜ Haishen, LIU Mingwen, WANG Yining, LU Wen, PENG Yujie, XU Haiting, FANG Yimin

“…Performing quantitative simulation based on the sources of soil water in the root zone at different growth stages, and dynamically adjusting the irrigation plan through the changing trend of soil moisture in the root zone of the crop is helpful to optimize irrigation management and improve water resource utilization efficiency.…”
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Advances in sustainable adsorption desalination configuration, materials, and challenges: A state-of-the-art review by Sajedeh Rooholamini, Mohsen Salimi, Amirhossein Amirfakhraei, Majid Amidpour, Mona Zamani Pedream, Taleb Zarei

“…Adsorption desalination (AD) is a promising, low-cost technology that addresses the limitations of traditional desalination methods by porous materials. AD utilizes renewable energy such as solar and industrial low-grade waste heat, as the heat source. …”
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