Exploring Gait Recognition in Wild Nighttime Scenes by Haotian Li, Wenjuan Gong, Yutong Li, Yikai Wu, Kechen Li, Jordi Gonzàlez

“…At present, research on gait recognition in nocturnal environments is relatively limited, and effective methods for nighttime gait recognition are lacking. …”
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CDKN1A as a target of senescence in heart failure: insights from a multiomics study by Rutao Bian, Rutao Bian, Li Zhang, Li Zhang, Dongyu Li, Dongyu Li, Xuegong Xu, Xuegong Xu

“…However, the exact triggering factors and underlying causes of HF onset and progression are still not fully understood.ObjectivesBy integrating multi-omics data, this study aimed to determine the genetic associations between cardiomyocyte and HF using cell senescence-related genes (SRGs).MethodsThe study utilized the CellAge database and the SenMayo dataset, combined with high-resolution single-cell RNA sequencing (scRNA-seq) data, to identify SRG and examine differences in cardiac cell expression. …”
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Optimized SVR model for predicting dissolved oxygen levels using wavelet denoising and variable reduction: Taking the Minjiang River estuary as an example by Peng Zhang, Xinyang Liu, Huiru Zhang, Chengchun Shi, Gangfu Song, Lei Tang, Ruihua Li

“…However, predicting DO levels in regions with complex hydrological variations remains challenging. This study presents a novel DO prediction model using the Minjiang River estuary as an example by integrating advanced machine learning techniques. …”
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Machine-Learning-Based Monitoring of Night Sky Brightness Using Sky Quality Meters and Multi-Source Remote Sensing by Siyue Zheng, Yanrong Chen, Anwar Eziz, Alishir Kurban, Tim Van de Voorde, Philippe De Maeyer

“…Evaluating and managing light pollution effectively is challenging, as traditional monitoring methods often fail to capture its spatial distribution and driving factors comprehensively. …”
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Genomics vs. AI-enhanced electrocardiogram: predicting atrial fibrillation in the era of precision medicine by Jean-Marie Grégoire, Cédric Gilon, François Marelli, Hugues Bersini, Stéphane Carlier

“…This paper explores the potential of AI in precision medicine for AF and examines its advantages, particularly when integrated with or compared to genomics. AI-driven ECG analysis provides a practical and cost-effective method for early detection and personalized treatment, complementing genomic approaches. …”
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High‐Precision Prediction of Ionospheric TEC in the China Region Based on CMONOC High‐Resolution Data and an Auxiliary Attention Temporal Convolutional Network by Jianghe Chen, Pan Xiong, Haochen Wu, Xiaoran Zhang, Xuemin Zhang, Rongzi Chai, Ting Zhang, Kaixin Wang, Chaoyu Wang

“…At the data level, a non‐integrated spherical harmonic model and Differential Code Bias correction method are employed to significantly reduce interpolation errors and improve model accuracy. …”
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Explaining the Mechanism of Multiscale Groundwater Drought Events: A New Perspective From Interpretable Deep Learning Model by Hejiang Cai, Haiyun Shi, Zhaoqiang Zhou, Suning Liu, Vladan Babovic

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Potential of random forest machine learning algorithm for geological mapping using PALSAR and Sentinel-2A remote sensing data: A case study of Tsagaan-uul area, southern Mongolia by Munkhsuren Badrakh, Narantsetseg Tserendash, Erdenejargal Choindonjamts, Gáspár Albert

“…In the second experiment, variations in the number of trees and variables per split had minimal effects, whereas the choice of stratification method significantly affected model outcomes. …”
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Experimental studies of load-bearing capacity and failure behavior of LNG cargo containment systems with multiple layers of insulation under heavy footprint loads by Guijie Shi, Zhiqian Wang, Deyu Wang

“…Finally, the nonlinear finite element method has been applied to study the deformation and stress distribution of the experimental models under heavy vertical footprint loads. …”
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Leveraging Thermal Infrared Imaging for Pig Ear Detection Research: The TIRPigEar Dataset and Performances of Deep Learning Models by Weihong Ma, Xingmeng Wang, Simon X. Yang, Lepeng Song, Qifeng Li

“…Utilizing thermal infrared imaging technology to detect pig ear information provides a non-contact, rapid, and effective method. Establishing the TIRPigEar dataset is highly significant, as it allows for a valuable resource for AI and precision livestock farming researchers to validate and improve their algorithms. …”
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Development of FBG Inclination Sensor: A Study on Attitude Monitoring of Hydraulic Supports in Coal Mines by Minfu Liang, Kewei Li, Xinqiu Fang, Daqian Zheng, Xinze Lu, Gang Wu, Haiyang Lu

“…The FBG inclinometer for the hydraulic support integrates passive grating sensing technology with an inclination force element. …”
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Detection of Pear Quality Using Hyperspectral Imaging Technology and Machine Learning Analysis by Zishen Zhang, Hong Cheng, Meiyu Chen, Lixin Zhang, Yudou Cheng, Wenjuan Geng, Junfeng Guan

“…Spectral data within the 398~1004 nm wavelength range were analyzed to compare the predictive performance of the Least Squares Support Vector Machine (LS-SVM) models on various quality parameters, using different preprocessing methods and the selected feature wavelengths. The results indicated that the combination of Fast Detrend-Standard Normal Variate (FD-SNV) preprocessing and Competitive Adaptive Reweighted Sampling (CARS)-selected feature wavelengths yielded the best improvement in model predictive ability for forecasting key quality parameters such as firmness, soluble solids content (SSC), pH, color, and maturity degree. …”
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DMF-YOLO: Dynamic Multi-Scale Feature Fusion Network-Driven Small Target Detection in UAV Aerial Images by Xiaojia Yan, Shiyan Sun, Huimin Zhu, Qingping Hu, Wenjian Ying, Yinglei Li

“…However, traditional detection models suffer significant performance degradation due to challenges including substantial scale variations, high proportions of small targets, and dense occlusions in UAV-captured images. …”
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Increasing engagement with liver disease management across the UK: a follow-up cross-sectional survey by Helen Jarvis, Charlotte Berry, Jonathan Worsfold, Vanessa Hebditch, Stephen Ryder

“…Design & setting: A cross-sectional follow-up survey to ICS and UK health boards. Method: Questions used for a previous survey in 2020 were adapted and sent electronically to NHS bodies responsible for health care across the UK, using a freedom of information request. …”
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Enhancing Facial Feature Detection: Hybrid Active Shape and Active Appearance Model (HASAAM) by Musab Iqtait, Jafar Ababneh, Mohammad Rasmi, Amer Abu-Jassar, Suhaila Abuowaida

“…This better result helps to compensate for variations in shape and texture. The suggested hybrid method may be expanded to recognize gender, estimate head posture, estimate gaze, find facial feature points in the presence of significant pose fluctuations, and detect facial expressions.…”
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Anaerobic Soccer Training Model: Enhancing Soccer Players’ Performance through a Combination of Repeated Sprints and 4 vs 4 Games by I Dewa Made Aryananda Wijaya Kusuma, Nining Widyah Kusnanik, Bayu Agung Pramono, Adi Pranoto, Yanyong Phanpheng, Indra Himawan Susanto, Dewa Ayu Praba Amustikarani, Waristra Tyo Nirwansyah, Muhammad Bagus Firzam Bharlaman

“…This study aimed to evaluate the effectiveness of the training model in improving soccer players’ anaerobic abilities. Materials and methods. The research method used was the ADDIE model consisting of five integrated phases: Analysis, Design, Development, Implementation, and Evaluation. …”
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Design and control of a DC-DC buck converter using discrete Takagi-Sugeno fuzzy models by A. Ayada, D. Guiza, D. Ounnas, N. Tidjani

“…System stability is analyzed via Lyapunov’s method and expressed through linear matrix inequalities. …”
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Tracing socio-economic transformations and quality of life in peri-urban villages of Durgapur Municipal Corporation (India) during 2011–2023 by Subrata Haldar, Somnath Mandal, Subhasis Bhattacharya, Suman Paul

“…By the systematic sampling method, the study considered 830 households with 10% marginal error and 20% non-sampling for the primary survey. …”
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Subjective Evaluation of Place Environmental Quality in Conference and Exhibition Buildings in Small- and Medium-Sized Cities: An Empirical Case Study by Yuchen Xie, Jianhe Luo, Peng Du

“…To address this gap, this study employs a mixed-method approach that integrates field surveys, interviews, and questionnaires to systematically collect data from 10 representative cases. …”
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Strength Deterioration Pattern and Stability Evaluation of Open−Pit Mine Slopes in Cold Regions Under Freeze–Thaw Cycles by Penghai Zhang, Ning Gao, Wanni Yan, Jun Hou, Honglei Liu

“…Slope safety factors and potential landslide mechanisms were determined through numerical simulations and the strength reduction method. Key findings include the following: (1) Shallow rock temperatures exhibit high synchronization with atmospheric temperature, characterized by large fluctuations and rapid variation rates, whereas deep rock demonstrates opposite trends. (2) As freeze–thaw cycles increase and burial depth decreases, the internal friction angle and cohesion of slope rock masses follow negative exponential decay functions. …”
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