Extracting individual trajectories from text by fusing large language models with diverse knowledge by Le Liu, Tao Pei, Zidong Fang, Xiaorui Yan, Chenglong Zheng, Xi Wang, Ci Song, Wenfei Luan, Jie Chen

“…However, existing trajectory extraction methods rely on rule-based frameworks that fail to capture contextual semantics, resulting in limited generalizability and loss of trajectory semantics. …”
Get full text

A Survey of Localization in Wireless Sensor Network by Long Cheng, Chengdong Wu, Yunzhou Zhang, Hao Wu, Mengxin Li, Carsten Maple

“…The location estimation methods can be classified into target/source localization and node self-localization. …”
Get full text

Innovative Application Strategies of Light-Emitting Diodes in Protected Horticulture by Xinying Liu, Qiying Sun, Zheng Wang, Jie He, Xin Liu, Yaliang Xu, Qingming Li

“…However, the scientific explanation of the above lighting strategies remains to be clearly revealed, providing theoretical support for the further optimization of conducting parameters. This review summarizes the physiological effects of different lighting strategies on crop cultivation and illustrates their future application in facility agriculture, aiming to provide novel methods for elevating the energy utilization efficiency and lowering the cost in facility agriculture using artificial light.…”
Get full text

Effects of forage feeding to calves on performance, rumen fermentation, and nutrient digestibility: A meta-analysis by Jianxin Xiao, Jia Tian, Yingqi Peng, Rui Hu, Quanhui Peng, Lizhi Wang, Bai Xue, Zhisheng Wang

“…Moderator analyses were performed to evaluate the effects of different forage sources, forage provision methods, starter forms, milk levels, and forage levels on the heterogeneity of growth performance, rumen fermentation, and nutrient digestibility outcomes in studies feeding forage to calves. …”
Get full text

Chemometrics to connect feedstock quality, process settings and calorific value of hydrochar through infrared spectra by Álvaro Amado-Fierro, Tim Offermans, Jeroen Jansen, Teresa A. Centeno, María A. Díez

“…The current urgent need for clean energy has sparked interest in hydrothermal carbonization (HTC) as a sustainable avenue to convert high moisture biomass wastes into an efficient bioenergy source. Without destructive methodologies and offering distinct advantages (e.g. real-time analysis) over traditional assessments, chemometric methods coupled to Fourier Transform Infrared Spectroscopy (FTIR) is presented as an innovative approach for a rapid assessment of the higher heating value (HHV) of hydrochars. …”
Get full text

Machine Learning for the estimation of foliar nitrogen content in pineapple crops using multispectral images and Internet of Things (IoT) platforms by Jorge Enrique Chaparro, José Edinson Aedo, Felipe Lumbreras Ruiz

“…In addition, regularization techniques were applied, including cross-validation, feature selection, boost methods, L1 (Lasso) and L2 (Ridge) regularization, as well as hyperparameter optimization. …”
Get full text

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. …”
Get full text

End-to-end deep learning pipeline for real-time Bragg peak segmentation: from training to large-scale deployment by Cong Wang, Valerio Mariani, Frédéric Poitevin, Matthew Avaylon, Jana Thayer

“…Using this integrated approach, our pipeline achieves accuracy comparable to traditional methods tuned by human experts while eliminating the need for experiment-specific parameter tuning. …”
Get full text

Multivariate Load Forecasting of Integrated Energy System Based on CEEMDAN-CSO-LSTM-MTL by WANG Yongli, LIU Zeqiang, DONG Huanran, LI Dexin, CHEN Xin, GUO Lu, WANG Jiarui

“…With the continuous development of integrated energy systems and the flexible interaction between load side and source side resources，existing single load forecasting methods are difficult to grasp the coupling characteristics between multiple loads，resulting in insufficient accuracy in the prediction of multiple loads in integrated energy systems. …”
Get full text

From Reactive to Proactive: Advances Leading the Paradigm Shift in Cholecystitis Management by Tamer A. Addissouky

“…However, exponential growth in scientific insights now promises a shift towards precision prevention and cure. Materials and Methods: Pathophysiological mechanisms involved in cystic duct obstruction by gallstones cause gallbladder stasis, direct mucosal injury, vascular compromise, leukocyte infiltration, and secondary infection. …”
Get full text

Secure internet of medical things based electronic health records scheme in trust decentralized loop federated learning consensus blockchain by Megha Kuliha, Sunita Verma

“…Electronic Health Records (EHRs) have become an increasingly significant source of information for healthcare professionals and researchers. …”
Get full text

Research Progress and Technology Outlook of Deep Learning in Seepage Field Prediction During Oil and Gas Field Development by Tong Wu, Qingjie Liu, Yueyue Wang, Ying Xu, Jiale Shi, Yu Yao, Qiang Chen, Jianxun Liang, Shu Tang

“…Based on the summary of the existing results, this paper proposes future development directions including real-time prediction and closed-loop optimization, multi-source data fusion, physical consistency modeling and interpretability enhancement, model migration, and online updating capability. …”
Get full text

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. …”
Get full text

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

“…Nowadays, as a result of the increasing awareness of European societies and new legal regulations, the role of renewable energy sources in individual heating is growing. One of the forms of renewable heat and electricity production is the use of biomass pellet burners coupled with Stirling engines. …”
Get full text

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. …”
Get full text

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text