Visual automatic detection method for hydraulic support loss state at the working face by TENG Daiyu, NAN Bingfei

“…This feature information was then mapped to a classification space to derive the probability distribution of different hydraulic support states. …”
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Public Medical Appeals and Government Online Responses: Big Data Analysis Based on Chinese Digital Governance Platforms by Hebin Li, Zhihan Liu, Ziyan Zhang, Lu Ping, Wenxin Gu, Yuan Yao

“…Regression analysis revealed that textual features, issue complexity, and benefit attribution were not significantly associated with government responsiveness. …”
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Cloud–Edge Collaborative Model Adaptation Based on Deep Q-Network and Transfer Feature Extraction by Jue Chen, Xin Cheng, Yanjie Jia, Shuai Tan

“…The framework enables category-level dynamic decision making, allowing for selective migration of classification head parameters to achieve on-demand adaptive optimization of the edge model and enhance consistency between cloud and edge results. …”
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Predicting Tropical Cyclone Extreme Rainfall in Guangxi, China: An Interpretable Machine Learning Framework Addressing Class Imbalance and Feature Optimization by Yuexing Cai, Cuiyin Huang, Fengqin Zheng, Guangtao Li, Sheng Lai, Liyun Zhu, Qiuyu Zhu

“…Additionally, it offers a valuable reference for addressing imbalance issues in similar research fields.…”
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A preliminary follow-up study on irreversible electroporation therapy in older patients with prostate cancer by Zhi-Yu Xia, Jun Yang, Fan Xiao, Jin-Zhou Xu, Xing-Yu Zhong, Shao-Gang Wang, Qi-Dong Xia

“…Based on the EAU risk groups classification, patients were divided into low (n = 4), intermediate (n = 6), and high-risk (n = 1) groups. …”
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Acceptance of the COVID-19 vaccine in Generation Z: A cross-sectional study in Southeast Sulawesi, Indonesia by Chevin Ramadhan Hadiwijaya, Muhammad Imam Zan Zabiyla Analuddin, Ayikacantya Sudayasa, Muhammad Hoki Akbar, Lilyana Aritonia Ahmad, Juminten Saimin

“…Generation Z is more concerned with environmental issues related to the pandemic situation. Objective: This study aimed to assess the acceptance of the COVID-19 vaccine in Generation Z. …”
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Application of Improved YOLOv8 Image Model in Urban Manhole Cover Defect Management and Detection: Case Study by Yanqiong Ding, Baojiang Han, Hua Jiang, Hao Hu, Lei Xue, Jiasen Weng, Zhili Tang, Yuzhang Liu

“…A combined loss function design using GIoU loss, dynamically weighted BCE loss, and Distribution Focal Loss (DFL) is adopted to address the issues of sample imbalance and inter-class differences. …”
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Detecting Anomalies in Hydraulically Adjusted Servomotors Based on a Multi-Scale One-Dimensional Residual Neural Network and GA-SVDD by Xukang Yang, Anqi Jiang, Wanlu Jiang, Yonghui Zhao, Enyu Tang, Zhiqian Qi

“…A high-pressure hydraulically adjusted servomotor is an electromechanical–hydraulic integrated system centered on a servo valve that plays a crucial role in ensuring the safe and stable operation of steam turbines. To address the issues of difficult fault diagnoses and the low maintenance efficiency of adjusted hydraulic servomotors, this study proposes a model for detecting abnormalities of hydraulically adjusted servomotors. …”
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A comprehensive diagnostic framework for hepatitis C using structured data and predictive analytics by Behnaz Motamedi, Balázs Villányi

“…Although ML presents opportunities for stage prediction, issues such as class imbalance, missing data, and feature redundancy limit model efficacy and generalizability. …”
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RETRACTED ARTICLE: Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease by Umesh Kumar Lilhore, Surjeet Dalal, Neetu Faujdar, Martin Margala, Prasun Chakrabarti, Tulika Chakrabarti, Sarita Simaiya, Pawan Kumar, Pugazhenthan Thangaraju, Hemasri Velmurugan

“…Speech changes or communication issues are among the challenges that Parkinson’s individuals may encounter. …”
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Role of pre-existing adversity and child maltreatment on mental health outcomes for children involved in child protection: population-based data linkage study by Miriam Jennifer Maclean, Scott Anthony Sims, Melissa O'Donnell

“…Adversities in childhood along with genetic or environmental vulnerabilities resulting from maternal mental health issues also contribute to young people’s mental health outcomes, suggesting a role for broader social supports and early intervention services in addition to targeted mental health programmes.…”
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Stacking ensemble learning models diagnose pulmonary infections using host transcriptome data from metatranscriptomics by Tian Zhang, Ying Deng, Wentao Wang, Zhe Zhao, Yiling Wu, Haoqian Wang, Shutao Xia, Weifang Liao, Weijie Liao

“…While metatranscriptomic sequencing offers a powerful approach, its clinical utility is often limited by issues of timeliness. In this study, we conducted metatranscriptomic sequencing on bronchoalveolar lavage fluid (BALF) collected from critically ill, severely ill, and ICU patients. …”
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Fault Diagnosis of Semi-Supervised Electromechanical Transmission Systems Under Imbalanced Unlabeled Sample Class Information Screening by Chaoge Wang, Pengpeng Jia, Xinyu Tian, Xiaojing Tang, Xiong Hu, Hongkun Li

“…To address these issues, this paper proposes a novel semi-supervised fault diagnosis method under imbalanced unlabeled sample class information screening. …”
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Medical rehabilitation: a study of problems of legal definition. The intersection of the concepts of medical rehabilitation, prevention and treatment by E. V. Gameeva, A. A. Kostin, G. S. Alekseeva, E. U. Ogneva, P. G. Gabay, L. V. Pashigorova, E. V. Kalita

“…To analyze the legal issues, related to the definition of «medical rehabilitation» established in Russian legislation. …”
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Automated Analysis of Service Life of Air-Lines of the Electricity Transmission of Electric Power Systems by E. M. Farhadzadeh, A. Z. Muradaliyev, S. A. Abdullayeva, A. A. Nazarov

“…Attention is paid to the issues of quantitative assessment of the degree of aging for a set of overhead power transmission lines, classification of these lines to identify the most significant classes and methodology for assessing the difference in the degree of aging when classifying them according to specified types of signs (for example, the difference in the degree of aging of overhead power transmission lines of grid enterprises of electric power systems). …”
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Methods of creating a multimedia online gallery by Є.М. Грабовський

“…Emphasis is placed on the issues of search engine optimization of the gallery site in order to increase indexing in the relevant systems. …”
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Methodology for determining actual threats to information security in medical information system by V. A. Maystrenko, O. A. Bezrodnykh, R. A. Dorokhin

“…In this article based on the processing of statistical data from various electronic resources the most frequent types of threats to information security (UBI) for medical information systems (MIS) are identified and their classification is carried out. The issues of determining the actual UBI when creating MIS that process personal data using a specific technology of expert assessment are considered. …”
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Dynamic Approach to Update Utility and Choice by Emerging Technologies to Reduce Risk in Urban Road Transportation Systems by Francesco Russo, Antonio Comi, Giovanna Chilà

“…International research attention on evacuation issues has increased significantly following the human and natural disasters at the turn of the century, such as 9/11, Hurricane Katrina, Cyclones Idai and Kenneth, the Black Saturday forest fires and tsunamis in Japan. …”
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Deep Learning Extraction of Tidal Creeks in the Yellow River Delta Using GF-2 Imagery by Bojie Chen, Qianran Zhang, Na Yang, Xiukun Wang, Xiaobo Zhang, Yilan Chen, Shengli Wang

“…Adding coordinate attention (CA) to the Atrous Spatial Pyramid Pooling (ASPP) module improves target classification and localization in remote sensing images. …”
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Remotely piloted aircraft system and machine learning for detection of coffee plants subjected to foliar application of chitosan by Nicole Lopes Bento, Gabriel Araújo e Silva Ferraz, Mirian De Lourdes Oliveira, Alisson André Vicente Campos, Milene Alves de Figueiredo Carvalho, Dalyse Toledo Castanheira, Ana Cristina de Souza, Tulio de Paula Pires, Giuseppe Rossi, Valentina Becciolini

“…Currently, images obtained by Remotely Piloted Aircraft Systems (RPAS), together with machine learning techniques, aid in resolving agricultural problems, including water issues. Therefore, the objective of this study was to differentiate between coffee plants subjected to the foliar application of chitosan and those not subjected to it, based on spectral data extracted from RPAS-acquired images and classification via machine learning. …”
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