Empowering Mothers in Childhood Obesity Prevention: A Qualitative Action Research Study Leveraging Home Monitoring and Assistance Strategies in Medan, Indonesia by Ernawati Nasution, Albiner Siagian, Etti Sudaryati, Fikarwin Zuska

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Simulation of Heat Pump with Heat Storage and PV System—Increase in Self-Consumption in a Polish Household by Jakub Szymiczek, Krzysztof Szczotka, Piotr Michalak

“…The results prove that a buffer tank with the right heat production control system can efficiently increase the auto consumption of self-produced PV electric energy, leading to a reduction in environmental effects and higher economic profitability.…”
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Methodology to assess the impact of urban vegetation on the energy consumption of residential buildings. Case study in a Mediterranean city by C. Prades-Gil, J.D. Viana-Fons, X. Masip, A. Cazorla-Marín, T. Gómez-Navarro

“…Buildings with a lower exterior surface-to-volume ratio exhibited a more pronounced reduction in energy consumption.…”
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Emptying villages, overflowing glasses: Out-migration and drinking patterns in Rural China by Yaxin LAN, Lei JIN

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Profiling the AI speaker user: Machine learning insights into consumer adoption patterns. by Yunwoo Choi, Changjun Lee

“…Additionally, the model reveals their distinct lifestyle patterns, such as higher internet usage during weekdays and increased cable TV viewership on weekends, along with a better understanding of 5G technology. …”
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High-resolution energy consumption forecasting of a university campus power plant based on advanced machine learning techniques by Saad A. Alsamraee, Sanjeev Khanna

“…Effective long-term energy forecasting is essential for efficient management of large institutions like university campuses, yet traditional forecasting methods frequently fall short in capturing complex consumption behaviors. To bridge this gap, this study introduces an advanced machine learning (ML) framework leveraging an extensive hourly energy consumption dataset from the University of Missouri campus over a period of six years from 2017 to 2022. …”
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Identification of Abnormal Electricity Consumption Behavior of Low-Voltage Users in New Power Systems Based on a Combined Method by Jiaolong Gou, Xudong Niu, Xi Chen, Shuxin Dong, Jing Xin

“…In the first stage, the GBDT algorithm leverages its robust feature learning and nonlinear classification capabilities to perform coarse-grained classification, extracting global patterns and categorical information. …”
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Genetic insights into dietary patterns, liposome mediation, and osteoporosis risk: a Mendelian randomization study by Kehan Long, Tengfei Zheng, Ao Gong, Zhendong Ying, Lei Zhang

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NutriNet-Brasil, a web-based prospective study on dietary patterns and risk of chronic diseases: cohort profile by Renata B Levy, Carlos A Monteiro, Fernanda Rauber, Euridice Martinez Steele, Leandro F M Rezende, Maria Laura da Costa Louzada, Caroline dos Santos Costa, Kamila Tiemann Gabe, Francine Silva dos Santos, Maria Alvim Leite, Fernanda Paranhos Quinta, Beatriz Menezes de Albuquerque Torquato

“…Diet quality—particularly the consumption of ultra-processed foods—has been associated with increased risk of NCDs. …”
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Analysis of the Impact of Effectiveness of Media (Seda-va-Sima) Advertisement on the Extent of Consumers’ Urge to Consume National Commodities by Abolfazl Danaei

“…While many studies have explored resistance economy, consumption patterns, and specifically domestic product consumption, there has been little significant action to enhance and cultivate the purchase of domestic products through effective and targeted media advertising. …”
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A flexible, channel‐minimized and large‐scale touch position sensor combining contact electrification effect and screen‐printed stagger electrode patterns by Zhihao Hu, Yuanchao Ren, Xindan Hui, Lirong Tang, Jie Chen, Hengyu Guo

“…However, prior alternatives suffer from high power consumption, material limitations, and implementation costs. …”
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A Data-Driven Approach for Generating Synthetic Load Profiles with GANs by Tsvetelina Kaneva, Irena Valova, Katerina Gabrovska-Evstatieva, Boris Evstatiev

“…We benchmark the proposed model against vanilla GAN, WGAN-GP, and Conv1D-GAN across four datasets with varying consumption patterns and sizes, including industrial, agricultural, and residential domains. …”
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The inverted U-shaped impact of the digital economy on indirect household carbon emissions — an empirical study based on CFPS by Ying Chen, Ying Chen, Donglin Chen, Donglin Chen, Chenfeng Gao, Chenfeng Gao, Xiaochao Wei, Xiaochao Wei

“…Policymakers should adopt region-specific strategies, invest in digital infrastructure, and promote sustainable consumption practices to leverage the digital economy for carbon reduction. …”
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Embedded energy flow and its industrial chain pathways in interprovincial trade within the Yellow River Basin by WU Leying, ZHAO Yiyi, MIAO Changhong, ZHONG Zhangqi, DU Jin

“…[Conclusion] The Yellow River Basin can reduce total energy consumption by leveraging industrial chains from low energy intensity areas to high energy intensity areas. …”
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Improving Location-Based Thermal Emission Side-Channel Analysis Using Iterative Transfer Learning by Kai Zhang, Tun-Chieh Lou, Chung-Che Wang, Jyh-Shing Roger Jang, Henian Li, Lang Lin, Norman Chang

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A Novel Grey Prediction Model: A Hybrid Approach Based on Extension of the Fractional Order Discrete Grey Power Model with the Polynomial-Driven and PSO-GWO Algorithm by Baohua Yang, Xiangyu Zeng, Jinshuai Zhao

“…As a result, it provides a new tool for predicting complex data change patterns.…”
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Enhancing sustainable agriculture through innovative packaging: consumer preferences and willingness to pay in the Nepalese market by Anisha Giri, Tilak Raj Chaulagai

“…This study investigates the consumer preferences for packaged agricultural products in Nepal, examining how advanced packaging solutions can align with the emerging sustainable consumption patterns. Employing a combination of online surveys and face-to-face interviews, the research explores the willingness of consumers to invest in packaging attributes that promote environmental sustainability, convenience and information transparency. …”
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The spatial impact mechanism and policy spillover of carbon emission trading pilot policy on regional industrial energy efficiency-a case study of China by Jinqiu Li, Youqiang Ding, Meiling Zhang

“…Specifically, carbon trading enhances single-element energy efficiency in pilot regions by optimizing industrial structures and energy consumption patterns. Meanwhile, it elevates the green complex-element energy efficiency through increased openness and a higher proportion of tertiary industries. …”
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Machine Learning Traffic Flow Prediction Models for Smart and Sustainable Traffic Management by Rusul Abduljabbar, Hussein Dia, Sohani Liyanage

“…This study contributes to this objective by developing and evaluating advanced machine learning models that leverage multisource data to predict traffic patterns more effectively, allowing for the deployment of proactive measures to prevent or reduce traffic congestion and idling times, leading to enhanced eco-friendly mobility. …”
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Consumer Perceptions and Attitudes Towards Ultra-Processed Foods by Galina Ilieva, Tania Yankova, Margarita Ruseva, Yulia Dzhabarova, Stanislava Klisarova-Belcheva, Angel Dimitrov

“…As attitudes toward UPFs evolve alongside changing nutrition and consumption patterns, stakeholders should regularly assess consumer feedback to mitigate the impact of these harmful foods on public health.…”
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