Ecological network construction and community resilience analysis of nocturnal birds: a case study of Hangzhou City, Zhejiang Province, China by Yang Jin, Mingkan Zhang, Danying Yan, Kun Li, Chao Zhou, Xi Chen

“…Using community detection methods to analyze the differences in attributes, habitats, and topological structures between network communities. …”
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VRU-YOLO: A Small Object Detection Algorithm for Vulnerable Road Users in Complex Scenes by Yunxiang Liu, Yuqing Shi

“…However, due to their small size and unpredictable movements, existing detection methods struggle to provide stable and accurate results under real-time conditions. …”
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Evaluation of Energy Saving and Carbon Reduction for Quasi-low Temperature Green Grain Storage in Granary Energy Pile System by ZENG Chang-nv, MA Sai-long, ZHANG Zhen

“…To develop a grain storage energy pile-based quasi-low-temperature storage system that utilizes clean and green geothermal energy to provide low-temperature cooling for grain storage facilities, numerical simulation methods were employed to investigate the effects of heat exchange pipe flow velocity and system operation time on the thermal performance and energy efficiency of the grain storage energy pile system. …”
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Machine learning supported ground beef freshness monitoring based on near‐infrared and paper chromogenic array by Yihang Feng, Yi Wang, Burcu Beykal, Zhenlei Xiao, Yangchao Luo

“…Abstract Maintaining freshness and quality is crucial in the meat industry, as lipid oxidation can lead to undesirable odors, flavors, and potential health risks. Traditional methods for assessing meat freshness often involve time‐consuming and destructive techniques, highlighting the need for rapid, noninvasive approaches. …”
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A combined prediction model for middle and long-term water and sediment forecasting based on causal analysis feature selection by XuanZhao Kong, KeBin Shi, HaiKun Yao, SiHai Liu

“…In complex hydrological systems, collected multivariate time series contain critical system features, yet traditional feature selection methods fail to consider inter-variable causal relationships. …”
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Comparative Analysis of Control Strategies for Microgrid Energy Management with a Focus on Reinforcement Learning by Parisa Mohammadi, Razieh Darshi, Saeed Shamaghdari, Pierluigi Siano

“…This transformation necessitates advanced energy management strategies in microgrids to integrate renewable energy sources efficiently. Traditional methods, including classical, metaheuristic, model predictive, stochastic, and robust control techniques, have been extensively studied. …”
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Flue Gas Temperature Distribution as a Function of Air Management in a High-Temperature Biomass Burner by Aleksandra Dzido, Michalina Kurkus-Gruszecka, Marcin Wilczyński, Piotr Krawczyk

“…Secondly, the inlet air mass flow is changed to show its impact on the presence and location of the high-temperature zone. Both methods can be treated as interesting ways for solving the challenge of the long-term operation of high-temperature biomass burners by avoiding thermal degradation.…”
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Advances and developments in high strength geopolymer concrete for sustainable construction – A review by V.S. Sujitha, S. Raja, Maher Ali Rusho, Simon Yishak

“…The development and optimization of geopolymer concrete mixtures were discussed, focusing on the selection of raw materials, activators, and curing methods to achieve high-strength characteristics. …”
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Advancements in image classification for environmental monitoring using AI by Jinjing Zhu, Ling Li

“…Future research directions include optimizing computational efficiency for deployment in edge computing and resource-constrained environments, as well as extending the framework to multimodal environmental data sources, such as hyperspectral imagery and sensor networks.…”
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Interpretable Prediction of a Decentralized Smart Grid Based on Machine Learning and Explainable Artificial Intelligence by Ahmet Cifci

“…Models were evaluated using various metrics, and XAI methods, specifically SHapley Additive exPlanations (SHAP) and Individual Conditional Expectation (ICE) plots, were employed to enhance the interpretability of the models. …”
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A Province-Wide Home Dialysis Program Review: Challenges, Strengths, and Future Strategies by Megan Borkum, Micheli Bevilacqua, Alexandra Romann, Krishna Poinen, Sushila Saunders, Linda Turnbull, R. Suneet Singh, Adeera Levin, Michael A. Copland

“…Key components include funding models, multidisciplinary committees, administrative support, and comprehensive training resources for staff and patients. Methods: A structured analysis was conducted to evaluate factors influencing home dialysis rates. …”
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Exploring New Paradigms in Time Series Prediction by Integrating Computer Simulations and Machine Learning by Pengcheng Wu, Yan Shi, Pengfei Zhao, Zhengzhao Gu

“…In this work, we propose a novel framework that fundamentally advances existing Transformer-based methods through the introduction of the Dynamic Temporal Attention Network (DTAN) and the Hierarchical Temporal Optimization Strategy (HTOS), which jointly address long-term dependency capture, interpretability, and domain-specific adaptation in a unified architecture. …”
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Limnospira fusiformis from Lake Solenoe, Omsk: Rationalizing Marketing and Research by Elena A. Moliboga, Viktoriya V. Leushkina

“…The authors used both experimental and marketing methods to study the range of spirulina-containing products on the food market of Omsk and its surroundings. …”
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Epidemiological Rationale for Changing the Strategy and Tactics of Vaccination of Pertussis in Current Conditions by K. A. Subbotina, I. V. Feldblium, E. A. Kochergina, N. A. Lechtina

“…A research objective – definition of the main directions of improvement of epidemiological control of a pertussis on the basis of studying of manifestations of epidemic process and its determinants. Materials and methods. The analysis of incidence is carried out according to official statistics in 19 years, the population antipertussoid immunity is studied by results of routine serological monitoring and specially organized screening researches. …”
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Large-scale activity-based demand generation modeling: A literature review and exploration of potential approaches by Ngoc An Nguyen, Joerg Schweizer, Federico Rupi

“…Furthermore,potential research directions are also discussed, including the development of travel models for large-scale scenarios using big data sources and the optimization of their integration with dynamic traffic assignment. …”
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Application of the multiagent approach for modeling integrated energy systems by V. A. Stennikov, E. A. Barakhtenko, G. S. Mayorov

“…Traditionally, the considered energy systems unite large energy sources, such as hydro, thermal power plants, combined heat and power plants, boiler plants and electric and pipeline networks distributed over a large area. …”
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Identifying Key Parameters for Reducing Recombination Losses at the p-n Junction of Chalcopyrite Thin-Film Solar Cells by Amala Elizabeth, Harry Mönig

“…A combined analytical approach using scanning probe microscopy and spectroscopy or Kelvin force microscopy and photoelectron spectroscopy methods can provide valuable insights. Despite the extensive literature available on related topics, a consolidated view of the various findings made in this regard and the direct consequences for the device efficiency is still lacking. …”
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Forecasting Wind Farm Production in the Short, Medium, and Long Terms Using Various Machine Learning Algorithms by Gökhan Ekinci, Harun Kemal Ozturk

“…Five machine learning algorithms were employed—Artificial Neural Network (ANN), Random Forest (RF), Extreme Gradient Boosting (XGBoost), K-Nearest Neighbors Regression (KNN), and Multi-Layer Perceptron (MLP ANN)—utilizing both MinMax and Standard Scaling methods. Prediction performance was evaluated using Mean Absolute Error (MAE), Coefficient of Determination (R²), and Root Mean Square Error (RMSE) metrics. …”
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Supraharmonics monitoring based on VSSESP-DBP dynamic compressed sensing algorithm by Chao Yan, Hongtao Shen, Jie Yu, Peng Tao, Hongxi Wang, Ting Yang

“…Traditional static time-window-based methods struggle to accurately sample these non-smooth signals, leading to reconstruction errors and inefficiencies. …”
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Polyphenols Investigation and Antioxidant and Anticholinesterase Activities of <i>Rosmarinus officinalis</i> L. Species from Southwest Romania Flora by Ludovic Everard Bejenaru, Andrei Biţă, George Dan Mogoşanu, Adina-Elena Segneanu, Antonia Radu, Maria Viorica Ciocîlteu, Cornelia Bejenaru

“…Total phenolic content was determined using the spectrophotometric method. In situ antioxidant and anticholinesterase activities were evaluated using 2,2-diphenyl-1-picrylhydrazyl (DPPH) and AChE inhibitory assay, respectively, on high-performance thin-layer chromatography (HPTLC) plates. …”
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