NICOTINE IN TRADITIONAL TOBACCO AND MODERN ELECTRONIC SMOKING DEVICES: THE NATURE OF DEPENDENCE FORMATION AND COGNITIVE FEATURES OF SMOKERS by Галина Урядова Урядова, Наталья Юрьевна Русецкая

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Fall recognition using a three stream spatio temporal GCN model with adaptive feature aggregation by Jungpil Shin, Abu Saleh Musa Miah, Rei Egawa, Koki Hirooka, Md. Al Mehedi Hasan, Yoichi Tomioka, Yong Seok Hwang

“…In response to these challenges, this paper proposes a novel three-stream spatio-temporal feature-based human fall detection system. Our system incorporates joint skeleton-based spatial and temporal Graph Convolutional Network (GCN) features, joint motion-based spatial and temporal GCN features, and residual connections-based features. …”
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Toward Efficient UAV-Based Small Object Detection: A Lightweight Network with Enhanced Feature Fusion by Xingyu Di, Kangning Cui, Rui-Feng Wang

“…Firstly, a double separation convolution (DSC) module is designed to replace the Bottleneck structure in the C2f module with deep separable convolution and point-by-point convolution fusion, which can reduce the model parameters and calculation complexity while enhancing feature expression. Secondly, a new SPPL module is proposed, which combines spatial pyramid pooling rapid fusion (SPPF) with long-distance dependency modeling (LSKA) to improve the robustness of the model to multi-scale targets through cross-level feature association. …”
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Geometric Detail-Preserved Point Cloud Upsampling via a Feature Enhanced Self-Supervised Network by Shengwei Qin, Yao Jin, Hailong Hu

“…., corner or edge points) and producing points gathered together. These problems are caused by similar feature replication or insufficient supervised information. …”
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Family Physicians’ Feedback on the Feature Design of a Digital Health Platform to Streamline the Care of Older Adults by Marjan Abbasi, Sheny Khera, Julia Dabravolskaj, Amira Aissiou, Reza Abbasi-Dezfouly

“…Digital health tools offer potential solutions to these problems. This study examined the interface design and features of a digital health platform, Carmi, designed to mitigate administrative inefficiencies and cognitive overload by asynchronous patient data gathering and automated report generation. …”
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YOLOv10n-Based Defect Detection in Power Insulators: Attention Enhancement and Feature Fusion Optimization by Zhihao Wei, Yan Wei

“…The spatial information of the channels is compressed by global average pooling, and the feature map is adaptively weighted after learning the channel weights through the fully connected layer, so as to strengthen the key channel features and suppress the noise. …”
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Features of the Hemostasis and Platelets Enzyme Activity in Patients with Different Sensitivity to Acetylsalicylic Acid by the Acute Coronary Syndrome by I. Yu. Grinshtein, A. A. Savchenko, Yu. I. Grinshtein, M. M. Petrova

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Features of vascular-platelet and coagulation hemostasis in relation to parameters of macular blood fl ow in women with preeclampsia by O. V. Kolenko, E. L. Sorokin, A. A. Fil

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A combined feature selection approach for malicious email detection based on a comprehensive email dataset by Han Zhang, Yong Shi, Ming Liu, Libo Chen, Songyang Wu, Zhi Xue

“…Furthermore, we propose a new feature selection and construction method that combines both static features and textual features. …”
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LDDFSF-YOLO11: A Lightweight Insulator Defect Detection Method Focusing on Small-Sized Features by Peng Shen, Keyu Mei, Huiqiong Cao, Yongxiang Zhao, Guoqing Zhang

“…In addition, a collaborative attention mechanism and a multi-scale feature fusion module (MDMF) are proposed to enhance the model’s ability to detect small-sized defects in remote and complex backgrounds, effectively solving the problems of missed detections, false detections, and poor adaptability to complex backgrounds. …”
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SPECIFIC PSYCHOLOGICAL FEATURES OF NEW PULMONARY TUBERCULOSIS PATIENTS IN THE CONTEXT OF PSYCHOTHERAPEUTIC CARE DURING IN-PATIENT TREATMENT by N. V. Zolotova, G. V. Baranova, V. V. Streltsov, N. Yu. Kharitonova, T. R. Bagdasaryan

“…It was demonstrated that patients referred for psychological support not only due to actual problems in the mental sphere, but also due to its specific features, as well as the patient’s personal qualities.…”
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Improved SURF−FLANN feature extraction and matching algorithm for video stitching of fully-mechanized working face by Qinghua MAO, Menghan WANG, Xin HU, Jiao ZHAI

“…The SURF (Speed Up Robust Features) feature extraction algorithm and FLANN (Fast Library or Approximate Nearest Neighbors) feature matching algorithm in current video stitching technology have the problems of feature point extraction errors and low feature point matching accuracy in harsh environments of fully-mechanized working face. …”
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Unpaired Spatio-Temporal Fusion for Remote Sensing Images via Deformable Global-Local Feature Alignment by Xinlan Ding, Huihui Song, Xu Zhang

“…., from the land to the water), which makes it difficult to obtain enough high-quality reference data, leading to severe model degradation. To solve the above problems, we propose the deformable global-local feature alignment network (DGFANet) for unpaired spatio-temporal fusion, which combines convolutional neural network and transformer to enhance texture and semantic details through global-local alignment. …”
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A Lightweight Intrusion Detection System with Dynamic Feature Fusion Federated Learning for Vehicular Network Security by Junjun Li, Yanyan Ma, Jiahui Bai, Congming Chen, Tingting Xu, Chi Ding

“…The traditional Intrusion Detection System (IDS) makes it difficult to effectively deal with the dynamics and complexity of emerging threats. To solve these problems, a lightweight vehicular network intrusion detection framework based on Dynamic Feature Fusion Federated Learning (DFF-FL) is proposed. …”
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Exploring Transfer Learning for Anthropogenic Geomorphic Feature Extraction from Land Surface Parameters Using UNet by Aaron E. Maxwell, Sarah Farhadpour, Muhammad Ali

“…This study explores the use of transfer learning, where information learned from another, and often much larger, dataset is used to potentially reduce the need for a large, problem-specific training dataset. Two anthropogenic geomorphic feature extraction problems are explored: the extraction of agricultural terraces and the mapping of surface coal mine reclamation-related valley fill faces. …”
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Automatic Lateralization of Temporal Lobe Epilepsy Based on MEG Network Features Using Support Vector Machines by Ting Wu, Duo Chen, Qiqi Chen, Rui Zhang, Wenyu Zhang, Yuejun Li, Ling Zhang, Hongyi Liu, Suiren Wan, Tianzi Jiang, Junpeng Zhang

“…The proposed approach demonstrated that MEG is a good candidate for solving the lateralization problem in unilateral TLE using various brain-network features.…”
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Model Klasifikasi Dengan Logistic Regression Dan Recursive Feature Elimination Pada Data Tidak Seimbang by Sutarman, Rimbun Siringoringo, Dedy Arisandi, Edi Kurniawan, Erna Budhiarti Nababan

“…Logistic regression can yield good results in classification and prediction problems. The extensive features of the dataset can lead to computational burdens and reduced classification performance. …”
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Features of functional state restoration among military personnel after traumatic brain injury combined with acubarotrauma by A. V. Shvets, Yu. V. Podolian, M. I. Holinko

“…Aim – to study the restoration features of postconcussion symptoms and cognitive disorders based on the dynamics of the psychophysiological characteristics of combatants who received brain concussion and acubarotrauma in the acute period. …”
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MONETARY POLICY IN RUSSIA AND INSTITUTIONAL BOUNDARIES OF FINANCIAL SYSTEM by M. Yu. Golovnin, S. A. Nikitina

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Features of intra- and extra-cranial blood fl ow in patients with essential hypertension stage II according by V. V. Syvolap, E. A. Poznanskaya, R. P. Nikulina, А. V. Vizir

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