Human Action Recognition Method Based on Multi-channel Fusion by Zhiyong TAO, Xijun GUO, Xiaokui REN, Ying LIU, Zemin WANG

“…A temporal convolution network captures temporal dependencies within the extracted action features, distinguishing between actions with similar spatial characteristics but distinct temporal patterns. …”
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Azithromycin treatment response as a probe to attribute bacterial etiologies of diarrhea using molecular diagnostics: a reanalysis of the Antibiotics for Children with Severe Diarr... by Jennifer Cornick, Jennifer Cornick, Sarah Elwood, James Platts-Mills, Patricia Pavlinac, Patricia Pavlinac, Karim Premji Manji, Christopher R. Sudfeld, Christopher P. Duggan, Christopher P. Duggan, Queen Dube, Naor Bar-Zeev, Karen Kotloff, Karen Kotloff, Samba O. Sow, Sunil Sazawal, Benson Singa, Benson Singa, Judd L. Walson, Judd L. Walson, Farah Naz Qamar, Tahmeed Ahmed, Ayesha De Costa, Elizabeth T. Rogawski McQuade

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A systematic review on sleep stage classification and sleep disorder detection using artificial intelligence by Tayab Uddin Wara, Ababil Hossain Fahad, Adri Shankar Das, Md Mehedi Hasan Shawon

“…Therefore, a sleep study that includes sleep patterns and disorders is crucial to enhancing our knowledge about individual health status. …”
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Novel dual gland GAN architecture improves human protein localization classification using salivary and pituitary gland inspired loss functions by Hanaa Salem Marie, Moatasem M. Draz, Waleed Abd Elkhalik, Mostafa Elbaz

“…This paper introduces a novel approach that employs two complementary loss functions within a Generative Adversarial Network (GAN) framework for processing images from the Human Protein Atlas dataset. …”
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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

“…In addition, digital infrastructures such as 5G networks and big data platforms promote energy efficiency and facilitate industrial upgrading. …”
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A Multi-Epiphysiological Indicator Dog Emotion Classification System Integrating Skin and Muscle Potential Signals by Wenqi Jia, Yanzhi Hu, Zimeng Wang, Kai Song, Boyan Huang

“…Comprehensive feature extraction (time-domain, frequency-domain, nonlinearity) was conducted for each signal modality, and inter-emotional variance was analyzed to establish discriminative patterns. Four machine learning algorithms—Neural Networks (NN), Support Vector Machines (SVM), Gradient Boosting Decision Trees (GBDT), and XGBoost—were trained and evaluated, with XGBoost achieving the highest classification accuracy of 90.54%. …”
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Data Governance Navigation for Advanced Operations in Healthcare Excellence by Vahideh Zarea Gavgani, Aniseh Pourrasmi

“…In fact, data governance is based on a specific pattern of input and output. Data input includes data and metadata management, especially data definitions and standards, quantitative classification and data quality control. …”
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Spatio-temporal evolution of land subsidence and susceptibility zonation of associated ground fissures in the urban area of loess plateau: a case in Xianyang city, China by Yuemin Sun, Jiewei Zhan, Fei Qiang, Quanzhong Lu, Cong Liu, Zhaowei Yao, Jianbing Peng

“…Therefore, we proposed for the first time to introduce the land subsidence gradient factors for the susceptibility mapping of ground fissures using the artificial neural network algorithm. The susceptibility zonation results show that integrating the gradient factor can improve the rationality of the susceptibility evaluation. …”
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Machine-Learning-Driven Analysis of Wear Loss and Frictional Behavior in Magnesium Hybrid Composites by Barun Haldar, Hillol Joardar, Arpan Kumar Mondal, Nashmi H. Alrasheedi, Rashid Khan, Murugesan P. Papathi

“…Data-driven machine learning (ML) algorithms were utilized to identify complex patterns and predict relationships between input variables and output responses. …”
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Altered functional brain connectivity in Dyt1 knock-in mouse models by R. Z. Adury, B. J. Wilkes, P. Girdhar, Y. Li, D. E. Vaillancourt, D. E. Vaillancourt, D. E. Vaillancourt

“…We also hypothesized that EMX mice would exhibit altered functional connectivity and activation patterns, supporting the idea that TorsinA dysfunction in the sensorimotor cortex alone can induce network abnormalities. …”
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Bibliometric Analysis of Medical Waste Research Using Python-Driven Algorithm by Ilie Cirstea, Andrei-Flavius Radu, Delia Mirela Tit, Ada Radu, Gabriela Bungau, Paul Andrei Negru

“…South Korea stands out for high citation rates. Network analysis identified collaboration patterns, while trend mapping highlighted a shift toward sustainable waste management practices. …”
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Dynamic Deployment of Mobile Roadside Units in Internet of Vehicles by Alaa E. Abdel-Hakim, Wael Deabes, Kheir Eddine Bouazza, Abdel-Rahman Hedar

“…This reduction is achieved without compromising the efficiency and effectiveness of the network, thereby ensuring rapid and reliable communication within the IoV. …”
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Understanding Problematic Smartphone and Social Media Use Among Adults in France: Cross-Sectional Survey Study by Laurent Karila, Nathaniel Scher, Clement Draghi, Delphine Lichte, Ilan Darmon, Hanene Boudabous, Hanah Lamallem, Olivier Bauduceau, Marc Bollet, Alain Toledano

“… Abstract BackgroundThe Evaluation of Digital Addiction (EVADD) study investigates problematic smartphone use in the digital age, as global smartphone users reached 55.88 million in France in 2023. …”
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Production forecasting for normal pressure shale gas wells based on coupling of production decline method and LSTM model by HAN Kening, WANG Wei, FAN Dongyan, YAO Jun, LUO Fei, YANG Can

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Environmental DNA supports importance of heterogeneous pond landscapes for arthropod diversity conservation by Vera Zizka, Katharina Schwesig, Nele Engel, Norbert Hölzel, Christoph Scherber

“…Further, results reveal comparable diversity of accumulated pond network area, compared with single large water bodies of similar size, supporting high importance of heterogeneous pond networks for arthropod diversity conservation. …”
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Ensemble Learning-Based Metamodel for Enhanced Surface Roughness Prediction in Polymeric Machining by Elango Natarajan, Manickam Ramasamy, Sangeetha Elango, Karthikeyan Mohanraj, Chun Kit Ang, Ali Khalfallah

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The real-world safety of Nivolumab: a pharmacovigilance analysis based on the FDA adverse event reporting system by Yutong Wu, Yue Zhou, Shiyue Xia, Zhaoyou Meng

“…To evaluate the association between nivolumab and adverse events (AEs), we employed four distinct disproportionality analysis methods: Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Multi-item Gamma Poisson Shrinker (MGPS) and Bayesian Confidence Propagation Neural Network (BCPNN). …”
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View-label driven cross-space structure alignment for incomplete multi-view partial multi-label classification by Shenrun Ding, Jiarui Chen, Tongwei Gao, Yinghao Ye, Xiaohuan Lu

“…The incompleteness of multi-view features degrades the comprehensiveness of sample representations, leading to failure in capturing semantically discriminative patterns essential for classification. To address the aforementioned challenges, we propose a novel learning framework termed View-Label Driven Cross-Space Structure Alignment Network (VLCSA). …”
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Machine learning of whole-brain resting-state fMRI signatures for individualized grading of frontal gliomas by Yue Hu, Xin Cao, Hongyi Chen, Daoying Geng, Kun Lv

“…The biological interpretability of selected features reflects distinct neuroplasticity patterns between LGGs and HGGs, advancing understanding of glioma-network interactions.…”
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Balancing Human Mobility and Health Care Coverage in Sentinel Surveillance of Brazilian Indigenous Areas: Mathematical Optimization Approach by Juliane Fonseca Oliveira, Adriano O Vasconcelos, Andrêza L Alencar, Maria Célia S L Cunha, Izabel Marcilio, Manoel Barral-Netto, Pablo Ivan P Ramos

“…ObjectiveThis study evaluates the current respiratory pathogen surveillance network in Brazil and proposes an optimized sentinel site distribution that balances Indigenous population coverage and national human mobility patterns. …”
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