The dietary patterns of water deer recently rediscovered in Northeast China exhibit remarkable similarities to those observed in other regions by Zongzhi Li, Zhicheng Yao, Mingchun Zhang, Romaan Hayat Khattak, Xingzhi Han, Jia Sun, Zhongyu Li, Jianmin Lang, Chong Chen, Jing Jin, Zhensheng Liu, Liwei Teng

“…The dietary patterns observed in this study align closely with those reported in other regions, reflecting species-specific foraging characteristics and further validating the reliability of deep learning algorithms in ecological research. Notably, significant seasonal variations were identified, highlighting the adaptability of water deer to changing environmental conditions. …”
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Enhanced Inverse Model Predictive Control for EV Chargers: Solution for DC–DC Side by Abdullah Berkay Bayindir, Ali Sharida, Sertac Bayhan, Haitham Abu-Rub

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A new machine learning approach based on spatial fuzzy data correlation for recognizing sports activities by Xu Pengru, Zhou Junhui, Kausar Nasreen, Lin Chunlei, Lu Qianqian, Ghaderpour Ebrahim, Pamucar Dragan, Zadeh Ardashir M.

“…The algorithm uses the hyperplane function that recognizes sportsperson activities and improves overall activity recognition efficiency. …”
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Automated Detection and Classification of Sleep Spindles using Machine Learning and Signal Processing Techniques by Sindhu Faiza, Rehman Hafiz Zia Ur, Khan Zeashan, Moshayedi Ata Jahangir

“…Cross-validation and precision, recall, and F1 scores helped identify the best classification algorithm. This research can be integrated with the wearable technology for real-time monitoring and intervention to the next level, providing important insights into sleep spindle classification and analysis.…”
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The Use of LiDAR Terrain Data in Characterizing Surface Roughness and Microtopography by Kristen M. Brubaker, Wayne L. Myers, Patrick J. Drohan, Douglas A. Miller, Elizabeth W. Boyer

“…However, our results suggest that the high-resolution research-grade LiDAR did not improve roughness modeling in comparison to the coarser statewide LiDAR. …”
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Prediction of Anemia from Multi-Data Attribute Co-Existence by Talal Qadah, Asmaa Munshi

“…Therefore, this study has reevaluated the claims within the domain of detecting and predicting anemia with the best machine learning algorithm. Another research problem, lies with the fact that previous studies on anemia prediction utilized limited machine learning algorithms across a narrow range of datasets, whereas this current study employed numerous machine learning algorithms across a wide range of anemia datasets and tested three hypotheses. …”
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Fault Diagnosis of Lithium-Ion Batteries Based on the Historical Trajectory of Remaining Discharge Capacity by Jiuchun Jiang, Bingrui Qu, Shuaibang Liu, Huan Yan, Zhen Zhang, Chun Chang

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Time Complexity of Training DNNs With Parallel Computing for Wireless Communications by Pengyu Cong, Chenyang Yang, Shengqian Han, Shuangfeng Han, Xiaoyun Wang

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Covariance Matrix Reconstruction to Improve DoA Estimation Using Subspace Method in Low SNR Regime by Sunita Khichar, Wiroonsak Santipach, Lunchakorn Wuttisittikulkij

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Smart forest monitoring: A novel Internet of Things framework with shortest path routing for sustainable environmental management by Alireza Etaati, Mostafa Bastam, Ehsan Ataie

“…IoT facilitates proactive decision‐making for forest monitoring, control, and protection through advanced data analysis techniques, including AI algorithms. This research study presents a comprehensive approach to deploying a dynamic and adaptable network topology in forest environments, aimed at optimising data transmission and enhancing system reliability. …”
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Balancing Performance and Portability: A Study on CsI(Tl) Crystal Sizes for Real-Time Gamma-Ray Spectrum and Dose Monitoring by Nikolaos Voulgaris, Hikari Nishimura, Shingo Tamaki, Sachie Kusaka, Isao Murata

“…To achieve this, we used an improved sequential Bayesian estimation algorithm. The dose rate was then derived from the energy spectrum by applying a flux-to-dose conversion coefficient. …”
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Development of an Integrated System of sEMG Signal Acquisition, Processing, and Analysis with AI Techniques by Filippo Laganà, Danilo Pratticò, Giovanni Angiulli, Giuseppe Oliva, Salvatore A. Pullano, Mario Versaci, Fabio La Foresta

“…The development of robust circuit structures remains a pivotal milestone in electronic device research. This article proposes an integrated hardware–software system designed for the acquisition, processing, and analysis of surface electromyographic (sEMG) signals. …”
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Machine Learning-Driven Multimodal Feature Extraction and Optimization Strategies for High-Speed Railway Station Area by Xiang Li, Fa Zhang, Ziyi Liu, Yao Wei, Runlong Dai, Zhiyue Qiu, Yuxin Gu, Hong Yuan

“…Guided by the land equilibrium utilization theory, we employ the random forest Boruta algorithm to identify critical features, using land supply capacity and development intensity as target variables. …”
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СONSTRUCTION OF COGNITIVE-DISCURSIVE MODEL OF DIACHRONIC PLURALITY IN TRANSLATION AS INTERPRETATIVE-HEURISTIC ACTIVITY by Yana V. Boiko

“…Cognitive-discursive modelling is an effective research methodology since, in the translation process, the translator himself uses target language means to model the reality described by the author. …”
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Application of Adaptive Search Window-Based Nonlocal Total Variation Filter in Low-Dose Computed Tomography Images: A Phantom Study by Hajin Kim, Bo Kyung Cha, Kyuseok Kim, Youngjin Lee

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Simultaneous, Non-Contact and Motion-Based Monitoring of Respiratory Rate in Sheep Under Experimental Condition Using Visible and Near-Infrared Videos by Beatriz Leandro Bonafini, Lukas Breuer, Lisa Ernst, René Tolba, Lucas Ferrari de Oliveira, Mauren Abreu de Souza, Michael Czaplik, Carina Barbosa Pereira

“…The ethical debates surrounding the use of animals in research have resulted in the adoption of Directive 2010/63/EU. …”
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STRATEGIC GOALS AND QUALITATIVE PROGRESS INDICATORS OF THE PROCESS OF NEO-INDUSTRIALISATION OF THE MANUFACTURING INDUSTRY IN UKRAINE by Olha Ilyash, Nataliia Semenchenko, Andrii Sachenko

“… Research subject. The article describes a system of strategic objectives and quality metrics associated with the development of neo-industrialisation processes in the manufacturing industry of Ukraine. …”
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Ecological Monitoring and Service Value Assessment of River–Lake Shores: A Case Study of the Huanggang and Taihu Segments of the Yangtze River by Xiaoyuan Zhang, Kai Liu, Shudong Wang, Xueke Li

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Creation of WebQuests for Cultural Education and Refugee Integration in Germany: On the Example of Cologne by Oleksii Nalyvaiko, Olena Ronzhes

“…Purpose. This research aims to determine the methodology of creating and conducting web quests for people who have left their homes and settled in another country (especially emigrants and refugees). …”
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SankeyNetwork: A clear and concise visualization tool for bibliometric data by Sher-Wei Lim, Willy Chou, Lifan Chen

“…Analyzing 2252 articles published in the Journal of METHODSX (2020–2024), the study focuses on ten essential metadata elements commonly used in bibliometric evaluations, including country, institution, department, authorship, and keywords.Three complementary approaches are introduced: (1) a summarized performance sheet to present key metrics across entities, (2) Sankey diagrams for streamlined cluster visualization using the Following-Leading Clustering Algorithm (FLCA), and (3) slope graphs to track temporal trends and research bursts.Findings highlight the dominance of the United States, Symbiosis International in India, and author Fengxiang X Han, with the keyword “MODEL” emerging as most frequent. …”
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