3D-printed porous titanium rods equipped with vancomycin-loaded hydrogels and polycaprolactone membranes for intelligent antibacterial drug release by Zheru Ma, Yao Zhao, Zhe Xu, Yao Zhang, Yu Han, Haozhuo Jiang, Peng Sun, Wei Feng

“…In this study, we fabricated 3D-printed porous titanium rods, incorporated vancomycin-loaded mPEG750-b-PCL2500 gel, and coated them with a PCL layer. …”
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Study on time–frequency features of induced charge signals during the damage and failure process of coal medium by Jinguo Lyu, Shixu Li, Yishan Pan, Zhi Tang, Xuebin Wang, Zhanpeng Xue, Yanli Zhang, Yanfang Qiao

“…According to the stress-induced charge-time curves, the time-domain features of charge signals at each loading stage are obtained. …”
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Influence of meniscus on cartilage and subchondral bone features of knees from older individuals: A cadaver study. by Sébastien Touraine, Hamid Bouhadoun, Klaus Engelke, Jean Denis Laredo, Christine Chappard

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Construction and finite element simulation of a square laser loading model that can replace circular spot superposition in laser peening forming by Xu PEI, Boyong SU, Liang WANG

“…In order to explore an efficient, accurate, and convenient finite element simulation method for laser peening forming, a square laser loading model was constructed by studying the loading feature unit of the circular spot superposition model, which can replace the circular spots overlay laser peening forming. and Finite element simulation was conducted on 7075 aluminum alloy flat plate model. …”
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ABOUT FACTOR, CONDITIONNING PROCESS OF THE TRANSPORT CHANNELFORMING SEDIMENTS by A. V. Magomedova, M. R. Magomedova

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Plant Disease Detection Using an Innovative Swin-Axial Transformer by Ao Zhang, Wei Liu

“…With the rapid development of deep learning technology, Transformer architectures have demonstrated strong global feature extraction capabilities in image classification and detection tasks. …”
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Development of gaze feature extraction and skill level identification techniques for visual evaluation of fluid simulation results by Taichi MAEDA, Keiichi WATANUKI

“…It has been reported that the content of work and skill level were estimated using machine learning from the features of gaze. However, the features of the gaze used differ depending on the subject. …”
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Landscape-ecological features of the transboundary Guton mountain junction in the East Caucasus and the problems of regional nature management by Z. V. Ataev, A. Z. Magomedova

“…In the USSR period the territory of Guton mountain junction had serious recreation loadings. The paper shows the features of the landscape structure which aggravated some conflicts in the region. …”
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Research on Space Targets Simulation Modulation Algorithm Combined Global–Local Multi-Spectral Radiation Features by Yu Zhang, Songzhou Yang, Zhipeng Wei, Jian Zhang, Bin Zhao, Dianwu Ren, Jingrui Sun, Lu Wang, Taiyang Ren, Dongpeng Yang, Guoyu Zhang

“…To solve the international problem of global–local radiation features simulation of multi-spectral space targets, this paper proposes a multi-spectral space target simulation modulation algorithm that can combine global–local spectral radiation features. …”
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Advanced feature engineering in Acute:Chronic Workload Ratio (ACWR) calculation for injury forecasting in elite soccer. by Jaime B Matas-Bustos, Antonio M Mora-García, Moisés de Hoyo Lora, Alejandro Nieto-Alarcón, Francisco T Gonzalez-Fernández

“…In this paper, we propose a novel feature engineering framework for training load management, inspired by bilinear modeling and signal processing principles. …”
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Analysis of Electrodermal Signal Features as Indicators of Cognitive and Emotional Reactions—Comparison of the Effectiveness of Selected Statistical Measures by Marcin Jukiewicz, Joanna Marcinkowska

“…The aim of this study is to answer the following research question: Which statistical features of the electrodermal activity signal most effectively indicate changes induced by cognitive and emotional reactions, and are there such significant similarities (high correlations) among these features that some of them can be considered redundant? …”
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Clinical-laboratory features and prognostic factors of adverse clinical outcome in patients with cryptococcal meningoencephalitis and HIV infection by D. H. Zhyvytsia, D. V. Myroshnychenko

“…Clinical and laboratory features of a patient with CM and HIV infection in Ukraine are young age, normal body mass index, sexual route of infection, lack of experience in ART, severe immunosuppression and high levels of HIV viral load. …”
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Physiologically Based Control Laws Featuring Antagonistic Muscle Co-Activation for Stable Compliant Joint Drives by Salvatore Annunziata, Axel Schneider

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Numerical Study of the Hydrodynamic Performance of Rim-Driven Propulsion Featuring a Modified 19A Duct by Masoumpour Meysam, Ghassemi Hassan, Hossein Mousavizadegan S., He Guanghua

“…Notably, the thrust coefficient of the duct at low advance coefficients is high, indicating that the duct can operate efficiently under heavy load conditions. The study then focuses on the RDP, which uses the same propeller but features a distinct duct design due to its rim-driven configuration. …”
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YOLO-MAD: Multi-Scale Geometric Structure Feature Extraction and Fusion for Steel Surface Defect Detection by Hantao Ding, Junkai Chen, Hairong Ye, Yanbing Chen

“…To overcome these issues, this study introduces YOLO-MAD, an innovative model optimized through a multi-scale geometric structure feature extraction and fusion scheme. YOLO-MAD integrates three key modules: AKConv for robust geometric feature extraction, BiFPN to facilitate effective multi-scale feature integration, and Detect_DyHead for dynamic optimization of detection capabilities. …”
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Features of using solar power sources for well drilling and ensuring sustainable development of subsoil use in Ukraine by D. V. Bondarenko, A. A. Tolkunov

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Power Line Segmentation Algorithm Based on Lightweight Network and Residue-like Cross-Layer Feature Fusion by Wenqiang Zhu, Huarong Ding, Gujing Han, Wei Wang, Minlong Li, Liang Qin

“…Finally, the Mish activation function is applied in deep convolutional layers to maintain feature extraction accuracy and mitigate overfitting. …”
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Natural Gas Consumption Forecasting Model Based on Feature Optimization and Incremental Long Short-Term Memory by Huilong Wang, Xianjun Gao, Ying Zhang, Yuanwei Yang

“…Subsequently, a weakly supervised cascade network for feature selection is designed to enable the model to adaptively select features based on prior knowledge. …”
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Assessing CO2 separation performances of IL/ZIF-8 composites using molecular features of ILs by Hasan Can Gulbalkan, Alper Uzun, Seda Keskin

“…We examined 1322 different types of IL/ZIF-8 composites, covering the largest variety of ILs studied to date (8 cations and 35 anions) at various loadings, for flue gas separation and natural gas purification. …”
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Attention-Enhanced CNN-LSTM Model for Exercise Oxygen Consumption Prediction with Multi-Source Temporal Features by Zhen Wang, Yingzhe Song, Lei Pang, Shanjun Li, Gang Sun

“…The baseline CNN-LSTM reached <i>R</i>² = 0.946, outperforming a plain LSTM (<i>R</i>² = 0.926) thanks to stronger local spatio-temporal feature extraction. Introducing a spatial attention mechanism raised accuracy further (<i>R</i>² = 0.962), whereas temporal attention reduced it (<i>R</i>² = 0.930), indicating that attention success depends on how well the attended features align with exercise dynamics. …”
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