Study on Skid Resistance of Asphalt Pavements Under Macroscopic and Microscopic Texture Features: A Review of the State of the Art by Wei Chen, Zhengchao Zhang, Jincheng Wei, Xiaomeng Zhang, Wenjuan Wu, Yuxuan Sun, Guangyong Wang

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Relationship between Nontraumatic Shoulder Disorders and Neuropathic Pain: Retrospective Observational Analyses of Clinical Features and Background Factors by Tsuyoshi Sasaki, Hitoshi Shitara, Tsuyoshi Tajika, Tsuyoshi Ichinose, Noritaka Hamano, Masataka Kamiyama, Atsushi Yamamoto, Tsutomu Kobayashi, Kenji Takagishi, Hirotaka Chikuda

“…Therefore, this retrospective observational study aimed to investigate the relationship, features, background factors, and prevalence of neuropathic pain among patients with nontraumatic shoulder disorders. …”
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Features of tactics of inspection of accident sites in the investigation of illegal interference in the activities of energy facilities using unmanned vehicles by S. L. Kislenko, A. B. Smushkin

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Tumor infection with human herpes viruses and features of peripheral blood lymphocyte subset composition in patients with uveal melanoma by Elena V. Svetlova, N. V. Balatskaya, I. G. Kulikova, S. V. Saakyan, I. V. Svirina, A. E. Andryushin, E. B. Myakoshina

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Vision Sensor for Automatic Recognition of Human Activities via Hybrid Features and Multi-Class Support Vector Machine by Saleha Kamal, Haifa F. Alhasson, Mohammed Alnusayri, Mohammed Alatiyyah, Hanan Aljuaid, Ahmad Jalal, Hui Liu

“…During feature extraction, we aim to extract unique key body points and full-body features that exhibit distinct attributes for each activity. …”
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Predicting learners' engagement and help-seeking behaviors in an e-learning environment by using facial and head pose features by Guan-Yun Wang, Yasuhiro Hatori, Yoshiyuki Sato, Chia-Huei Tseng, Satoshi Shioiri

“…We used SHAP (Shapley Additive exPlanations) analysis to evaluate the importance of Basic AUs and Head Pose features. …”
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Expanding clinicopathologic knowledge in high-grade glioma with pleomorphic and pseudopapillary features (HPAP): a report of two cases by Sabrina Rossi, Isabella Giovannoni, Sara Patrizi, Andrea Mafficcini, Eleonora Piccirilli, Giuseppe Kenneth Ricciardi, Giacomina Megaro, Francesca Arienzo, Chantal Tancredi, Emanuele Agolini, Andrea Carai, Angela Mastronuzzi, Caterina Giannini, Franco Locatelli, Rita Alaggio, Giovanna Stefania Colafati, Viola Alesi, Evelina Miele, Valeria Barresi

“…High-grade features were present and pathogenic variants in RB1 and TP53 were detected. …”
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Hematological features of mine-blast trauma, accompanied by acubarotrauma, among servicemen - participants in high-intensity combat operations by S. A. Husieva, G. V. Osyodlo, I. P. Goncharov, O. Ya. Antonyuk, Yu. Ya. Kotyk, A. V. Gusev, М. Е. Krol, I. V. Malysh, Ya. M. Klimenko, S. V. Ткаchenko

“…All patients were fixed on the psychotraumatic circumstances of hostilities. Clinical blood analysis was performed on an automatic haematology analyser ABX Micros ES 60 of the company Horiba ABX. …”
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Comparative characteristics of the clinical and laboratory features of the primary Sjogren’s syndrome associated with anticentromere antibodies and the “classic” subtype of the dis... by B. D. Chaltsev, V. I. Vasiliev, S. G. Palshina, A. V. Torgashina, E. V. Sokol, Yu. I. Khvan, E. B. Rodionova, T. N. Safonova

“…A combination of pSS and SSc was diagnosed in 37 patients, and they were excluded from further analysis. We compared clinical and laboratory features in patients with pSS-ACA+ (n=82) and ACA-negative pSS (pSS-ACA–, n=64) and characterized lymphomas in the pSS-ACA+ (n = 14) and pSS-ACA– (n=10) groups.Results and discussion. …”
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A Dual-Stream Deep Learning Architecture With Adaptive Random Vector Functional Link for Multi-Center Ischemic Stroke Classification by Mahesh Anil Inamdar, Anjan Gudigar, U. Raghavendra, Massimo Salvi, Raja Rizal Azman Bin Raja Aman, Nadia Fareeda Muhammad Gowdh, Izzah Amirah Binti Mohd Ahir, Mohd Salahuddin Bin Kamaruddin, Khairul Azmi Abdul Kadir, Filippo Molinari, Ajay Hegde, Girish R. Menon, U. Rajendra Acharya

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Structural health monitoring based on three-dimensional point cloud technology: A systematic review by Yanzong Zhang, Guibo Nie, Duozhi Wang

“…It outlines the entire process, from data acquisition to modeling and visualization, and compares six core methods: geometric morphology analysis, multi-temporal differential analysis, feature extraction, mapping, machine learning, and deep learning. …”
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SCCA-YOLO: Spatial Channel Fusion and Context-Aware YOLO for Lunar Crater Detection by Jiahao Tang, Boyuan Gu, Tianyou Li, Ying-Bo Lu

“…Lunar crater detection plays a crucial role in geological analysis and the advancement of lunar exploration. …”
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Adaptive Multi-Scale Bayesian Framework for MFL Inspection of Steel Wire Ropes by Xiaoping Li, Yujie Sun, Xinyue Liu, Shaoxuan Zhang

“…This paper presents a novel adaptive multi-scale Bayesian framework for MFL signal analysis in SWR inspection. Our approach integrates discrete wavelet transform with adaptive thresholding and multi-scale feature fusion, enabling simultaneous detection of minute defects and large-area corrosion. …”
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Orga-Dete: An Improved Lightweight Deep Learning Model for Lung Organoid Detection and Classification by Xuan Huang, Qin Gao, Hanwen Zhang, Fuhong Min, Dong Li, Gangyin Luo

“…However, their morphological analysis remains hindered by manual detection inefficiencies and the high computational cost of existing algorithms. …”
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Online Measurement Method for Circuit Breaker Mechanical–Time Characteristics Based on Transient Voltage and Current Signal Feature Extraction by Liting Weng, Jianhua Xia, Zhaochuang Zhang, Jingang Wang, Lin Chen, Yingbo Zi, Lingyi Ma, Xingyu Zhang, Fan Zhang, Pengcheng Zhao

“…The analysis shows that the calculation error of the opening and closing times is within 0.2 ms. …”
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A systematic review of machine learning and deep learning approaches in plant species detection by Deepti Barhate, Sunil Pathak, Bhupesh Kumar Singh, Amit Jain, Ashutosh Kumar Dubey

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DADNet: text detection of arbitrary shapes from drone perspective based on boundary adaptation by Jun Liu, Jianxun Zhang, Ting Tang, Shengyuan Wu

“…To address this issue, we propose a drone-based text detection method based on boundary adaptation. We first conduct an in-depth analysis of text characteristics from a drone’s perspective. …”
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Distributed denial-of-service (DDOS) attack detection using supervised machine learning algorithms by S. Abiramasundari, V. Ramaswamy

“…In this paper, a PCA-based Enhanced Distributed DDoS Attack Detection (EDAD) framework has been proposed. Various Machine Learning (ML) algorithms and feature selection techniques have been used to detect DDoS attacks. …”
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A NOVEL VOICE-BASED SYSTEM FOR PARKINSON’S DISEASE DETECTION USING RNN-LSTM by Repudi Pitchiah, T. Sasi Rooba, Uma Pavan Kumar

“…In this study, RNN-LSTM is combined with numerous architectures to develop more accurate prediction models for the detection of PD on the basis of feature analysis of various patient speech samples. …”
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Lightning Damage Detection Method Using Autoencoder: A Case Study on Wind Turbines with Different Blade Damage Patterns by Takuto Matsui, Kazuki Matsuoka, Kazuo Yamamoto

“…In this study, an approach was proposed: a SCADA data analysis method using an autoencoder to assess the soundness of wind turbines without visual inspection. …”
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