Micro-level sustainability benefits through weather-based farm interventions in Bihar, India by Abdus Sattar, Ratnesh Kumar Jha, Sanjay Kumar, Gangadhar Nanda, Rajan Kumar, Gulab Singh, Anil Kumar Singh, Santanu Kumar Bal

“…The results revealed a significant positive impact of weather-based advisories on farmers’ income, as well as carbon and energy consumption patterns in rice production. Specifically, rice yield increased by 49.8% among farmers who followed weather forecast-based smart interventions. …”
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Smart forecasting: Enhancing virtual power plant performance with analytical frameworks by Maja Celeska Krstevska, Petar Krstevski, Mare Srbinovska, Vesna Andova, Aleksandra Krkoleva Mateska

“…The focus is on forecasting both electricity consumption and production from photovoltaic (PV) systems, as essential components for successful operation of a sustainable energy infrastructure/system. …”
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Social Media and Men’s Health: Separating Science from Speculation in Andrology by Michael George, Vaibhav Modgil, Ian Pearce, Theodora Stasinou

“…Results Social media consumption is on the rise, with users consuming over two hours daily on average worldwide. …”
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Classification of Latin American and Caribbean Countries Based on Multidimensional Development Indicators: A Multivariate Empirical Analysis by Adel Mendoza-Mendoza, Delimiro Visbal-Cadavid, Enrique De La Hoz-Domínguez

“…Subsequently, cluster analysis was used to classify countries according to shared development patterns. To achieve this, the average of the indicators for the 2017–2022 period was used as a basis, which enabled the reduction in short-term distortions and the capture of structural trends. …”
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Spatial and Temporal Variability of Near-Surface CO₂ and Influencing Factors in Urban Communities by Yueyue Wu, Yi Zheng, Jialei Liu, Qingxin Yang, Beixiang Shi, Chenghe Guan, Wanxin Deng

“…This study investigates near-surface CO₂ spatiotemporal variability patterns at the community scale to address the critical gap in urban CO₂ high-resolution measurement and promote urban carbon neutrality. …”
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Fracture Characteristics and Tensile Strength Prediction of Rock–Concrete Composite Discs Under Radial Compression by Tengfei Guo, Houqiang Wang, Xuefeng Si, Chengzhi Pu, Zhixiang Liu, Qi Zhang, Weijun Liu

“…The AE parameters RA (rise time/amplitude) and AF (average frequency) were used to characterize different failure patterns, while energy evolution analysis revealed that the highest percentage of energy consumption occurs at a crack angle of 45°, indicating intense microcrack activity. …”
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A configuration and scheduling optimization method for integrated energy systems considering massive flexible load resources by Zihao Wang, Shenhua Wang, Hanwen Ni, Junyin Wang, Jun Zhang

“…Flexible loads were categorized into three types to match different electricity consumption patterns. Additionally, an enhanced Kepler Optimization Algorithm (EKOA) was proposed, incorporating chaos mapping and adaptive learning rate strategies to improve search scope, convergence speed, and solution efficiency. …”
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Interplay of resource endowments, agriculture and nutritional outcomes in the Central Indian Landscape by Niranjan Padhan, K. H. Anantha, Kaushal K. Garg, Venkataradha Akuraju, Ramesh Singh, M. L. Jat

“…In such context, fluctuations in resource endowments, especially water, directly impact agricultural productivity, which in turn shapes household income and food consumption patterns. Despite growing policy focus on improving agricultural output and food security, a fragmented understanding of how these domains interact has limited the effectiveness of interventions. …”
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Estimation and Forecasting of Nigeria’s Residential, Commercial, and Industrial Electricity Demands by Prosper O. Ugbehe, Ogheneruona E. Diemuodeke, Daniel O. Aikhuele, Kenneth E. Okedu, Gauri Kalnoor

“…Energy demand forecasting has emerged as a crucial area of research, driven by the need for accurate predictions of future electricity consumption. This is critically essential for the effective planning and operation of electric power systems. …”
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Projecting future fluid intake of Chinese children in a warming world by Sui Zhu, Guanhao He, Na Zhang, Yingying Jin, Zhongguo Huang, Shasha Han, Bingxiao Li, Zhiqiang Lin, Fengrui Jing, Fangfang Zeng, Yanhui Gao, Tao Liu, Xiaofeng Liang, Guansheng Ma, Wenjun Ma

“…Results Our results show a nearly linear relationship between temperature and fluid consumption. For every 1 °C increase, average daily TFI rises by 24 mL (95% CI: 21–27 mL), and plain water intake (PWI) increases by 12 mL (95% CI: 9–14 mL). …”
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Association between fruit intake and abdominal adiposity in 1,707 randomly selected U.S. children by Larry A. Tucker

“…A cross-sectional design was employed. Fruit consumption was measured using the average of two 24-h dietary recalls. …”
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Gait Recognition With Wearable Sensors Using Modified Residual Block-Based Lightweight CNN by Md. Al Mehedi Hasan, Fuad Al Abir, Md. Al Siam, Jungpil Shin

“…Our proposed model outperforms all the state-of-the-art methods regarding recognition accuracy and is more than 85 percent efficient on average in terms of model parameters and memory consumption.…”
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A Network Traffic Anomaly Classification Model Based on Self-Attention Mechanism and Convolutional Gated Recurrent Unit by Yulian Li, Yang Su

“…With the rapid growth of network traffic and the evolving complexity of attack patterns, the stability of information systems and data security face significant challenges. …”
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Enhancing the Efficiency of Unsupervised Network Alignment Using Quotient Graph by Lei Zhang, Feng Qian

“…Although graph neural networks (GNNs) effectively capture structural and semantic relationships, their computational intensity—stemming from multi-layer matrix operations and high memory consumption—severely limits scalability. To address these limitations, this paper proposes ENAMOR (Efficient Network AlignMent via Quotient gRaph), an unsupervised framework incorporating three key components: 1) multi-scale representation learning that hierarchically aggregates local and global structural patterns through GNN layers; 2) embedding-driven graph coarsening via hashing-based quotient graph construction, reducing computational complexity by 60–80% while preserving topological and attribute information; and 3) Matched Neighborhood Consistency (MNC) optimization, which iteratively refines alignment matrices by enforcing structural congruence constraints. …”
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Tunable Energy-Efficient Approximate Circuits for Self-Powered AI and Autonomous Edge Computing Systems by Shubham Garg, Kanika Monga, Nitin Chaturvedi, S. Gurunarayanan

“…In addition, an average reduction of 36 % in energy consumption and 18 % in delay was observed for the MAC unit compared with the conventional MAC. …”
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Optimization of energy costs in the production of winter wheat by Yudina Elena, Rinas Nikolai, Kadyrov Michael, Papusha Sergey

“…With climatic conditions, this pattern persists, including an average of three years. …”
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Influence of model selection on optimal control of traffic for emissions minimisation by Khatun E Zannat, Judith Y T Wang, David P Watling

“…These discrepancies stemmed from variations in fuel consumption and particulate matter ( $\textit{PM}_x$ ) emission patterns resulting from the traffic dynamics captured by the selected traffic model. …”
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Examination of the spatial-temporal variations in terrestrial water reserves and green efficiency of water resources in China's three northeastern provinces. by Yanying Wang, Xianzhi Wang, Longxue Zhao

“…Using technological advancements and analyzing urban water consumption patterns, this article employs GRACE satellite data and statistical records to conduct a comprehensive assessment and evaluation of water resource utilization efficiency across 34 prefecture-level cities in China's three northeastern provinces-Liaoning, Jilin, and Heilongjiang-over the period spanning from 2003 to 2020. …”
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Understanding Binge-Watching: The Role of Dark Triad Traits, Sociodemographic Factors, and Series Preferences by Ângela Leite, Anabela Rodrigues, Sílvia Lopes, Ana Catarina Pereira

“…Binge-watching has become a dominant mode of media consumption, yet its psychological underpinnings remain insufficiently explored. …”
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Neuromorphic Digital-Twin-Based Controller for Indoor Multi-UAV Systems Deployment by Reza Ahmadvand, Sarah Safura Sharif, Yaser Mike Banad

“…Due to the sparsity of spiking patterns, and the event-based nature of SNNs on average for the whole group of UAVs, the framework achieves almost 90% reduction in computational burden compared to traditional von Neumann architectures implementing traditional artificial neural networks.…”
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