A benchmark for computational analysis of animal behavior, using animal-borne tags by Benjamin Hoffman, Maddie Cusimano, Vittorio Baglione, Daniela Canestrari, Damien Chevallier, Dominic L. DeSantis, Lorène Jeantet, Monique A. Ladds, Takuya Maekawa, Vicente Mata-Silva, Víctor Moreno-González, Anthony M. Pagano, Eva Trapote, Outi Vainio, Antti Vehkaoja, Ken Yoda, Katherine Zacarian, Ari Friedlaender

“…This makes it difficult to, for example, identify patterns in what works well for machine learning-based analysis of bio-logger data. …”
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IoT‐Based Elderly Health Monitoring System Using Firebase Cloud Computing by Adhan Efendi, Muhammad Imam Ammarullah, Indra Griha Tofik Isa, Meli Puspita Sari, Jasmine Nurul Izza, Yohanes Sinung Nugroho, Hamid Nasrullah, Denny Alfian

“…Future enhancements may include integration with artificial intelligence technologies such as machine learning and deep learning to predict health conditions from data patterns, further improving the system's capabilities and effectiveness in elderly care.…”
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Climate change reductions in lake ice cover duration and thickness help regulate the carbon sink potential of plateau type lakes by Shen Di, Wang Yafeng, Jia Junjie, Wang Shuoyue, Sun Kun, Gao Yang

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Strengthening healthcare providers’ leadership capabilities, interprofessional collaboration, and systems thinking: a conceptualization of the Clinical Scholars program impact by Tara Carr, Scott Rosas, Cheryl Noble, Michelle Song, Claudia S. P. Fernandez, Kathleen Brandert, Kathy Donnald, Giselle Corbie, Gaurav Dave

“…A conceptual map emerged, consisting of seven thematic clusters, which showed that program value could be attributed to the following elements: “Resources”, “Wicked Problem Impact Project (WPIP) Support”, “Curriculum”, “Thinking Bigger”, “Leadership Training”, “Networking”, and “Teamwork.” The pattern match showed that all seven clusters were highly rated by Fellows across the Community Well-being Impact and Sustainability domains. …”
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Investigating potential biomarkers associated with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis using Mendelian randomization and transcriptomic analysis by Yujia Wang, Zhimin Chen, Kaiqi Huang, Keng Ye, Shiwei He, Yanfang Xu, Hong Chen

“…Machine learning algorithms, ROC curve analysis, and expression evaluation were employed to screen for biomarkers. Additionally, artificial neural networks (ANNs) were constructed, enrichment analysis and immune infiltration were performed, a molecular regulatory network was established, and potential drugs were predicted. …”
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An optimized domain-specific shrimp detection architecture integrating conditional GAN and weighted ensemble learning by L. Ravi Kumar, Ravi Kumar Tata, T. R. Mahesh, Endris Mohammed Ali

“…Deep learning is used to analyze the image patterns and to recognize the objects. The detection process includes the creation of labels with bounding boxes, and it will be evaluated by using accuracy scores. …”
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Impact of the COVID-19 pandemic on incident diagnoses in German refugee centres 2018 to 2023 by Kayvan Bozorgmehr, Stella Erdmann, Sven Rohleder, Consortium Pri.CareNet, Rosa Jahn

“…Here, we employ segmented regression analyses, adjusting for time trends, socio-demographic factors, occupancy, and centre characteristics, to evaluate the COVID-19 pandemic’s impact on incident diagnosis patterns among refugees. …”
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An Enhanced Approach for Remaining Useful Life Prediction of Bearings Using Incomplete Lifecycle Data by Xunmeng An, Chao Zhang, Caiye Liu, Wentao Zhao

“…To address these challenges, we propose the Incomplete Lifecycle Data Enhanced Network (ILDENet), a self-supervised learning network incorporating contrastive learning to improve feature discrimination. …”
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Geospatial Clustering in Smart City Resource Management: An Initial Step in the Optimisation of Complex Technical Supply Systems by Aliaksey A. Kapanski, Roman V. Klyuev, Aleksandr E. Boltrushevich, Svetlana N. Sorokova, Egor A. Efremenkov, Anton Y. Demin, Nikita V. Martyushev

“…However, without a clear understanding of the network structure and water consumption patterns, addressing these challenges becomes significantly more complex. …”
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Epidemiological characterization of chronic myeloid leukaemia patients at an oncologic centre: A retrospective observational study by Ana Maria Meireles, Rita Calisto, Maria José Bento, Pedro Martinho Gouveia, Susana Bizarro, Manuel Teixeira, Cláudia Moreira, Ana Espírito Santo, Mário Mariz

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TACO: Adversarial Camouflage Optimization on Trucks to Fool Object Detectors by Adonisz Dimitriu, Tamás Vilmos Michaletzky, Viktor Remeli

“…We present Truck Adversarial Camouflage Optimization (TACO), a novel framework that generates adversarial camouflage patterns on 3D vehicle models to deceive state-of-the-art object detectors. …”
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Transformer-Guided Serial Knowledge Distillation for High-Precision Anomaly Detection by Danyang Wang, Bingyan Wang

“…Notably, it shows particular effectiveness in industrial inspection scenarios, where anomalous patterns are subtle and training data are strictly limited to normal samples.…”
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A Systematic Review of Using Deep Learning Technology in the Steady-State Visually Evoked Potential-Based Brain-Computer Interface Applications: Current Trends and Future Trust Met... by A. S. Albahri, Z. T. Al-qaysi, Laith Alzubaidi, Alhamzah Alnoor, O. S. Albahri, A. H. Alamoodi, Anizah Abu Bakar

“…The first category, convolutional neural network (CNN), accounts for 70% (n=21/30). The second category, recurrent neural network (RNN), accounts for 10% (n=3/30). …”
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On the added value of sequential deep learning for the upscaling of evapotranspiration by B. Kraft, B. Kraft, B. Kraft, J. A. Nelson, S. Walther, F. Gans, U. Weber, G. Duveiller, M. Reichstein, W. Zhang, M. Rußwurm, D. Tuia, M. Körner, Z. Hamdi, M. Jung

“…Plant functional types were useful at the site level for the improved representation of spatial patterns but had a significant leverage on upscaling results – i.e., having a disproportionate impact on the spatial patterns, especially for XGBoost, but less for the LSTM model.…”
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Charting the spatial transcriptome of the human cerebral cortex at single-cell resolution by Songren Wei, Meng Luo, Pingping Wang, Rui Chen, Xiyun Jin, Chang Xu, Chenyang Li, Xiaoyu Lin, Zhaochun Xu, Hongxin Liu, Rui Cheng, Wenyi Yang, Yideng Cai, Guangfu Xue, Peng Huang, Zhigang Liu, Haoxiu Sun, Jiangping Xu, Qinghua Jiang

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Research Trends in the Field of Participatory Governance: Drawing a Map of Co-occurrence and Co-word Analysis by Seyed Mohsen Mirbagheri, Seyed Mostafa Jalili

“…The Co-word Analysis further elucidates that "management", "network", and "policy" are the concepts most intricately intertwined with participatory governance. …”
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Spatio-Temporal Influencing Factors of the Coupling Coordination Degree Between China’s New-Type Urbanization and Transportation Carbon Emission Efficiency by Han Jia, Weidong Li, Runlin Tian

“…This study focuses on the coupling and coordination between China’s new-type urbanization (NU) and transportation carbon emission efficiency (CET), revealing its spatial and temporal evolution patterns and driving factors. In recent years, the rapid rise of the digital economy has profoundly reshaped traditional industrial structures. …”
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Analysis of the molecular nature associated with microsatellite status in colon cancer identifies clinical implications for immunotherapy by Wei Wu, Qihan Fu, Lulu Liu, Yi Zheng, Hangyu Zhang, Peng Zhao, Weijia Fang, Xuanwen Bao, Shaobing Cheng, Xiaomeng Dai, Xudong Zhu, Zhou Tong, Fanglong Liu

“…A receiver operating characteristic curve was used to evaluate the accuracy rate of neural network, reaching 100%.Conclusion Our analysis unraveled the difference in the molecular nature and genomic variance in MSI and MSS colon cancer. …”
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Crack Development in Compacted Loess Subjected to Wet–Dry Cycles: Experimental Observations and Numerical Modeling by Yu Xi, Mingming Sun, Gang Li, Jinli Zhang

“…New cracks often branch out and extend along the existing crack network, demonstrating that the initial crack morphology has a controlling effect over the final crack distribution pattern. …”
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Interictal suppression in patients with mesial temporal lobe epilepsy: A simultaneous PET/fMRI study by Jie Hu, Liwei Sun, Kun Guo, Bixiao Cui, Chenyang Yao, Jingjuan Wang, Hui Ouyang, Xu Zhang, Chunlin Li, Jie Lu

“…We also found that the regions within DMN play a critical role in the suppression of SOZs. The pattern of such suppressive network might also serve as potential features for the localization of SOZs. …”
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