Unveiling construction accident causation: a scientometric analysis and qualitative review of research trends by Haoyu Zang, Ming Li, Zhiyao Jin, Jingfei Huang

“…In addition, a qualitative synthesis was conducted to review common data sources and examine key issues, including risk factor identification, accident type classification, causality analysis, and the optimization of research strategies. …”
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Ontology of the problem of professional competence of future foreign language teachers in India by Lina E. Belovetskaia

“…It concerns not only the issues of linguistic training, but also the social, cultural and economic aspects of the country’s educational system. …”
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Efficient hardware error correction with hybrid on-offline configuration algorithm for optical processor by Zichao Zhao, Huihui Zhu, Qishen Liang, Haoran Ma, Ziyi Fu, Xingyi Jiang, Bei Chen, Yuehai Wang, Tian Chen, Yuzhi Shi, Jianyi Yang

“…Traditional approaches, such as offline error correction and online training, either rely on complex control systems or suffer from local optima convergence issues, resulting in limited scalability and efficiency. …”
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A simple interpolation-based data augmentation method for implicit sentiment identification by Yuxia Zhao, Mahpirat Mamat, Alimjan Aysa, Kurban Ubul

“…Second, implicit sentiment text is prone to overfitting the model due to the lack of training data, which requires a lot of specialized domain knowledge for the label annotation work, resulting in a lack of training data. To address these issues, we propose a simple but effective interpolation-based data augmentation method for implicit sentiment identification (ISIMIX). …”
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A content analysis on the challenges experienced in implementing technology in physical education in Indonesia by Zulkifli, Raffly Henjilito, M. Fransazeli Makorohim, Ahmad Yani, Alficandra

“…Nonetheless, inside the Indonesian education sector, there are still identified issues regarding constrained access to technology in many places, considering gaps in the deployment of digital infrastructure and the development of students’ and educators’ digital skills. …”
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Past, current and future of legal regulation of drugs compounding in the Russian Federation by D. D. Mamedov, D. S. Yurochkin, Z. M. Golant, V. S. Fisenko, A. V. Alekhin, I. A. Narkevich

“…The main elements of the Russian legislation in the field of drug circulation with the aim of a comprehensive understanding of the classification and determination of the role of extemporaneous drugs in the Russian healthcare system, are presented in the article. …”
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A Comparative Study on Developing the Hybrid-Electric Vehicle ‎Systems and its Future Expectation over the Conventional Engines Cars by Medhat Elkelawy, Hagar Alm ElDin Mohamad, Mohamed Samadony, Ahmed Elbanna, Ahmed Safwat

“…Several variables, difficulties, and issues related to the future generation of hybrid cars have been highlighted in this research.…”
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Association between COVID-19 Mortality and Underlying Disease; Tehran, Iran by Alireza Atarodi, Laleh R. Kalankesh, Leila Ghaderi Nansa, Mohammad Hossein Vaziri, Alireza Hajighasemkhani

“…Moreover, the adjusted regression analysis showed that the mortality in multiple underlying conditions such as cancer, respiratory issues, cardiovascular problems, and diabetes are 5.48, 2.75, 4.081, and 3.162 times higher, respectively (P<0.05). …”
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A Hybrid Framework for Referring Image Segmentation: Dual-Decoder Model with SAM Complementation by Haoyuan Chen, Sihang Zhou, Kuan Li, Jianping Yin, Jian Huang

“…Traditional approaches to RIS have primarily focused on pixel-level classification. These methods, although effective, often overlook the interconnectedness of pixels, which can be crucial for interpreting complex visual scenes. …”
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Experience with Using the Sensewear BMS Sensor System in the Context of a Health and Wellbeing Application by Val Jones, Richard Bults, Rene de Wijk, Ing Widya, Ricardo Batista, Hermie Hermens

“…It is argued that automatic activity classification is needed to properly analyse and interpret physical activity data captured by accelerometry.…”
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Multi-Scale Differentiated Network with Spatial–Spectral Co-Operative Attention for Hyperspectral Image Denoising by Xueli Chang, Xiaodong Wang, Xiaoyu Huang, Meng Yan, Luxiao Cheng

“…Hyperspectral image (HSI) denoising is a crucial step in image preprocessing as its effectiveness has a direct impact on the accuracy of subsequent tasks such as land cover classification, target recognition, and change detection. …”
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RST-YOLOv8: An Improved Chip Surface Defect Detection Model Based on YOLOv8 by Wenjie Tang, Yangjun Deng, Xu Luo

“…Additionally, we employ the SimAM attention mechanism, enabling the model to learn three-dimensional channel information, thereby strengthening its perception of defect characteristics. To address the issues of missed detections and false detections of small targets in chip surface defect detection, we designed a task-aligned dynamic detection head (TADDH) to facilitate interaction between the localization and classification detection heads. …”
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DSF-YOLO for weld defect detection in X-ray images with dynamic staged fusion by Meng Zhang, Yanzhu Hu, Binbin Xu, Lisha Luo, Song Wang

“…Abstract Weld defect detection poses significant challenges including ambiguous boundaries, diverse defect shapes, and the requirement for precise localization. To address these issues, we propose DSF-YOLO, a novel framework specifically designed for pipeline weld defect detection. …”
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Wearable sensor-based fall detection for elderly care using ensemble machine learning techniques by Ch Gangadhar, P Pavithra Roy, R. Dinesh Kumar, Janjhyam Venkata Naga Ramesh, S. Ravikanth, N. Akhila

“…Older people face serious issues with unintentional collisions that result in healthcare admissions and fatalities. …”
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<p><strong>A catalogue of the Iranian Mesostigmata (Acari) excluding Phytoseiidae</strong></p> by Elham Riahi, Alireza Nemati

“…Relevant explanations for each taxon concerning different issues are cited as note(s) under the related taxon. …”
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AASNet: A Novel Image Instance Segmentation Framework for Fine-Grained Fish Recognition via Linear Correlation Attention and Dynamic Adaptive Focal Loss by Jianlei Kong, Shunong Tang, Jiameng Feng, Lipo Mo, Xuebo Jin

“…Additionally, Dynamic Adaptive Focal Loss (DAFL) is designed to improve classification under extreme data imbalance conditions. …”
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Surgical treatment for insular gliomas. A systematic review and meta-analysis on behalf of the EANS neuro-oncology section by Matthias Simon, Anne Hagemann, Sanjana Gajadin, Francesco Signorelli, Arnaud J.P.E. Vincent

“…Research question: To provide robust resection, functional and epilepsy outcome figures, study growth patterns and tumor classification paradigms, analyze surgical approaches, mapping/monitoring strategies, surgery for insular glioblastoma, as well as molecular findings, and to identify open questions for future research. …”
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Comprehensive Evaluation Method for the Grouting Management Effect of Mine Water Hazards Based on the Combined Assignment of the TOPSIS and RSR Methods by Shuangcheng Tang, Xuehai Fu, Baolei Xie

“…This integrated approach resolves the issues of singularity and subjectivity in prior assignment techniques. …”
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Trends in the Incidence of Hypertensive Disorders of Pregnancy Among the Medicaid Population before and During COVID-19 by Jessica Lin, Heidi Feng, Ronald Horswell, San Chu, Yun Shen, Gang Hu

“…Women with a diagnosis of each type-specific HDP were identified by using the International Classification of Diseases, 10th revision (ICD-10) codes. …”
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Meta-GCANet: Meta-Graph Coupled Aware Network for Cross-Modality Person Re-Identification by Jiale Zhang, Baohua Zhang, Dongyang Wu

“…It interacts with local unimodal features to reinforce mutual learning and constructs a relational knowledge graph for structural classification. To reduce the discrepancy in modality-shared discriminative features, the M-GC module leverages the similarity between cross-modality features to extract meta-positive and meta-negative samples. …”
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