A land-cover-assisted super-resolution model for retrospective reconstruction of MODIS-like NDVI data across the continental United States by blending Landcover300m and GIMMS NDVI3... by Zhicheng Zhang, Zhenhua Xiong, Xuewen Zhou, Kun Xiao, Wei Wu, Qinchuan Xin

“…While data fusion techniques are capable of generating spatiotemporally continuous data, challenges remain in capturing interannual variation of land surface dynamics at a spatial resolution where real observation data are lacking. …”
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Age-specific protective effects of statins against cirrhosis in patients with chronic liver enzyme elevation associated with metabolic dysfunction: a retrospective cohort study of... by Ayako Suzuki, Georgia Sofia Karachaliou, Amy M. Perkins, Chad Dorn, Ruth M. Reeves, Timothy Arnold, Mustafa R. Bashir, Jimmy T. Efird, Manal F. Abdelmalek, Anna Mae Diehl

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Predicting bearing capacity of gently inclined bauxite pillar based on numerical simulation and machine learning by Deyu WANG, Defu ZHU, Biaobiao YU, Chen WANG

“…To address this, a pillar strength prediction model is established by integrating parametric modelling's flexible interactivity, the scalability of numerical simulation sample data and the data-driven advantages of machine learning methods. …”
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TNFAIP8L3 regulation of the TGF-β signaling pathway affects the proportion of macrophages during tumor antigen presentation and affects the prognosis of ovarian cancer by Chaomin Yue, Xiao Zheng, Yuqing Ye, Danyang Li, Yanhong Zhou

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PM_2.5 Concentration Prediction in the Beijing–Tianjin–Hebei Region Based on ERA5 Stratified PWV and Atmospheric Pollutants by Jun Shang, Peixuan Zhang, Yong Wang, Yanping Liu, Hongsheng Wang, Suo Li

“…In this study, the stratified ERA5 PWV in the Beijing–Tianjin–Hebei region is integrated with other meteorological elements and atmospheric pollutants, and the FFT-ConvLSTM method, characterized by its spatio-temporal properties, is utilized to predict the PM_2.5 concentration by incorporating the spatio-temporal correlation. …”
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Serum creatinine as a risk factor for endometriosis: insights from cross-sectional study, mendelian randomization analysis, and diagnostic model study by Yanan Duan, Yiqing Peng, Aiping Chen

“…Bidirectional MR analysis, utilizing genetic variation data from Large Genome Association Studies (GWAS), was performed to evaluate causal relationships using the inverse variance weighted (IVW) method, complemented by sensitivity analysis. …”
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Forecasting South African grain prices and assessing the non-linear impact of inflation and rainfall using a dynamic Bayesian generalized additive model by Albert Antwi, Albert Antwi, Emelia Thembile Kammies, Emelia Thembile Kammies, Lyson Chaka, Martins Akugbe Arasomwan, Martins Akugbe Arasomwan

“…IntroductionAccurate price forecasts and the evaluation of some of the factors that affect the prices of grains are crucial for proper planning and food security. Various methods have been designed to model and forecast grain prices and other time-stamped data. …”
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City-Scale Spatio-Temporal Modeling of 5G Downlink Exposure of Users and Non-Users by Ray-Tracing in a Real Urban Environment by Matthias Leeman, Robin Wydaeghe, Jeroen van der Straeten, Samuel Goegebeur, Gunter Vermeeren, Wout Joseph

“…Therefore, we propose a novel spatio-temporal method that incorporates both active users and non-users in realistic 5G exposure simulations. …”
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Hybrid Recurrent Neural Network and Decision Tree Scheduling for Energy-Efficient Resource Allocation in Cloud Computing by Sefati Seyed Salar, Vulpe Alexandru, Popovici Eduard, Fratu Octavian

“…The RNN model uses historical execution data to accurately predict task execution time, while the DT model classifies VMs based on performance characteristics, ensuring optimal task-to- VM assignments. The proposed method dynamically adapts to workload variations, reducing execution delays and improving Quality of Service (QoS) metrics. …”
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Exploration of Uninitialized Configuration Memory Space for Intrinsic Identification of Xilinx Virtex-5 FPGA Devices by Oliver Sander, Benjamin Glas, Lars Braun, Klaus D. Müller-Glaser, Jürgen Becker

“…SRAM-based fingerprinting uses deviations in power-up behaviour caused by the CMOS fabrication process to identify distinct devices. This method is a promising technique for unique identification of physical devices. …”
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Digital disinformation and financial decision-making: understanding the spread of economic conspiracy theories in Indonesia by Alem Febri Sonni

“…The research examines how conspiracy narratives spread and influence investment behaviors through a comprehensive mixed-method approach combining network analysis, content analysis, and survey research of 2,847 social media users using stratified random sampling across Indonesian provinces. …”
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Study on the Mechanical Characteristic of Special-shaped Asymmetric Flexure Hinge by Cheng Li, Chuanli Wang, Tao He, Huanyu Huo

“…Based on the bending theory of cantilever beam and Hooke's law under the micro element method， by selecting the appropriate integral variable and intermediate variable， the relatively simple calculation formula of rotational flexibility and tensile flexibility is obtained， and the general calculation formula of the maximum stress is given. …”
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Editorial by the editorial staff 4

“…Learning Study: A variant of action research centered on student learning, integrating variation theory into teaching. Ongoing Training: A lifelong learning process for professionals aimed at developing new skills. …”
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Rényi Entropy-Based Shrinkage with RANSAC Refinement for Sparse Time-Frequency Distribution Reconstruction by Vedran Jurdana

“…Nevertheless, RTwIST may struggle to accurately isolate components in cases of significant amplitude variations or component intersections. In this work, an enhanced RTwIST framework is proposed, integrating the random sample consensus (RANSAC)-based refinement stage that iteratively extracts individual components and fits smooth trajectories to their peaks. …”
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Influence of Environmental Factors and Aggregates on Concrete Elasticity: Ultrasonic and Strength Testing by Mohammad Reza Hadidi, Yaghoub Mohammadi

“…The study also validates using UPV as a nondestructive method to efficiently evaluate concrete’s structural integrity. …”
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Multi-stream part-fused graph convolutional networks for skeleton-based gait recognition by Likai Wang, Jinyan Chen, Zhenghang Chen, Yuxin Liu, Haolin Yang

“…On the popular CASIA-B dataset, extensive experiments demonstrate that our method can achieve state-of-the-art performance and is robust to confounding variations.…”
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Robust Switching Gain-Based Fractional-Order Sliding Mode Control for Wind-Powered Microgrids by Minghao Zhou, Siwei Cheng, Long Xu, Likun Wang, Qingbo Guo, William Cai

“…High robustness and stability of the grid-side inverter can be guaranteed even in the presence of parameter variations and external disturbances. Owing to the fractional-order sliding manifold and fractional-order integral control law, the chattering is attenuated. …”
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A clustering algorithm based on grids for core data and adjacency relationships for edge data by Honglei He

“…However, they face challenges such as parameter sensitivity, poor adaptability to density variations, and misclassification of edge data. To address these issues, existing research primarily focuses on three directions: (1) optimizing the adaptive selection of grid parameters, which struggles to handle variations in cluster density; (2) improving grid division methods (e.g., multi-granularity or dynamic grids), which have limited effectiveness on complex-shaped data; and (3) integrating other clustering techniques, which enhances accuracy but increases algorithmic complexity. …”
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Application of Isokinetic Dynamometry Data in Predicting Gait Deviation Index Using Machine Learning in Stroke Patients: A Cross-Sectional Study by Xiaolei Lu, Chenye Qiao, Hujun Wang, Yingqi Li, Jingxuan Wang, Congxiao Wang, Yingpeng Wang, Shuyan Qie

“…Methods: This study was a cross-sectional, observational study that included a cohort of 150 post-stroke hemiplegic patients. …”
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Remote Patient Monitoring and Digital Therapeutics Enhancing the Continuum of Care in Heart Failure: Nonrandomized Pilot Study by Emmanuel Marier-Tétrault, Emmanuel Bebawi, Stéphanie Béchard, Philippe Brouillard, Priccila Zuchinali, Emilie Remillard, Zoé Carrier, Loyda Jean-Charles, John Nam Kha Nguyen, Pascale Lehoux, Marie-Pascale Pomey, Paula A B Ribeiro, François Tournoux

“…The use of our digital solution was integrated into the regular nursing workday and only 34 calls had to be made by the nurse during the study period. …”
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