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  1. 4061

    Consensus position of endocrinologists and pathologists on coding causes of death in patients with diabetes mellitus (expert opinion) by I. I. Dedov, G. A. Frank, N. G. Mokrisheva, M. V. Shestakova, G. A. Melnichenko, G. V. Zayratyants, P. G. Malkov, A. Yu. Abrosimov, O. K. Vikulova, G. R. Galstyan, A. Yu. Mayorov, E. A. Troshina, V. Yu. Kalashnikov

    Published 2021-09-01
    “…In pursuance of the decisions of the Minutes of the meeting of the working group under the project committee of the National Project «Health» on identifying patterns in the formation of mortality rates of the population dated January 20, 2021 No. 1, chaired by Deputy Prime Minister of the Russian Federation T.A. …”
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  2. 4062

    Federated-Learning-Based Strategy for Enhancing Orbit Prediction of Satellites by Jiayi Tang, Wenxin Li, Qinchen Zhao, Hongmei Chi

    Published 2025-04-01
    “…Moreover, the combination of federated learning with basic neural network models like the Multi-Layer Perceptron (MLP), Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN), and Gated Recurrent Unit (GRU) is explored. The results indicate that integrating federated learning can greatly enhance satellite prediction, opening new possibilities for future orbital prediction and space technology development.…”
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  3. 4063

    Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model by Zachary Barbre, Gang Li

    Published 2025-04-01
    “…The xLSTM model incorporates two key innovations: exponential gating with memory mixing and a novel matrix memory structure. …”
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  4. 4064

    Sentiment Analysis and Trend Mapping of Hotel Reviews Using LSTM and GRU by Yerik Afrianto Singgalen

    Published 2024-12-01
    “…This study explores applying Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models for sentiment analysis and trend mapping of hotel reviews, specifically focusing on customer feedback from Hotel Vila Ombak in Lombok, Indonesia. …”
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  5. 4065

    Phase Wise Classification of Abnormal Gait in Children With Cerebral Palsy Using Hybrid Neural TEMPODE Deep Learning Techniques by Yelle Kavya, S.Sofana Reka

    Published 2025-01-01
    “…The neurological condition known as Cerebral Palsy which affects motor control, frequently results in abnormal gait patterns that have a major negative influence on mobility and quality of life. …”
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  6. 4066

    DFANet: A Deep Feature Attention Network for Building Change Detection in Remote Sensing Imagery by Peigeng Lu, Haiyong Ding, Xiang Tian

    Published 2025-07-01
    “…Second, we introduce a GatedConv module to improve the network’s capability for building edge detection. …”
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  7. 4067

    D4Care: A Deep Dynamic Memory-Driven Cross-Modal Feature Representation Network for Clinical Outcome Prediction by Binyue Chen, Guohua Liu

    Published 2025-05-01
    “…In addition, we also introduce a memory-aware constrained layer normalization to alleviate the challenges of multi-modal feature heterogeneity. Besides, we use gating mechanisms and dynamic memory components to enable the model to learn feature information of different historical-current patterns, further improving the model’s performance. …”
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  8. 4068

    An optimization similarity fuzzy inference method for traffic signal control at an isolated intersection by Mahin Esmaeili, Ali Anjomshoae, Nasser Shahsavari-Pour, Punyaanek Srisurin, Ruth Banomyong

    Published 2025-12-01
    “…Managing urban traffic is challenging because traffic patterns change unpredictably. Although fuzzy logic-based traffic signal control (TSC) systems like Mamdani and Sugeno work well, they struggle to adjust effectively to real-time traffic changes. …”
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  9. 4069

    Compressive properties analysis of mono-sized fragmented coal and rock by Dingyi Hao, ShiKun Xu, Shihao Tu, Hongbin Zhao, Long Tang

    Published 2025-05-01
    “…Experimental observations demonstrated progressive yet decelerating axial strain development under increasing stress, accompanied by diminishing porosity reduction rates. AE activity exhibited proportional escalation in both event frequency and energy release intensity during particle consolidation. …”
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  10. 4070

    “The alcohol-harm paradox”: Understanding socioeconomic inequalities in liver diseaseKeypoints by Laura Weichselbaum, Judah Kupferman, Allison J. Kwong, Christophe Moreno

    Published 2025-09-01
    “…Summary: The alcohol-harm paradox (AHP) refers to the fact that people from lower socioeconomic groups experience higher rates of alcohol-related illness despite consuming the same or even lower amounts of alcohol than their more affluent counterparts. …”
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  11. 4071
  12. 4072
  13. 4073
  14. 4074

    RADON IN GROUNDWATERS IN THE BAIKAL REGION AND TRANSBAIKALIA: VARIATIONS IN SPACE AND TIME by K. Zh. Seminsky, A. K. Seminsky

    Published 2016-09-01
    “…Q values are indirectly influenced by parameter T via changes of water temperature, variations in flow rates of water sources, freezing of the top layer of soil and other processes, which parameters require further research.According to the monitoring data (see Table 3, and Fig. 6, A), the content of radon in near-surface water sources (Group I) can vary by a few and the first dozens of units, while changes by tens of becquerel per liter are recorded in the deeper near-fault water sources (Group II). …”
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  15. 4075

    The Rise of FinTech and the Journey Toward a Cashless Society: Investigating the Use of Mobile Payments by SMEs in Oman in the Context of Vision 2040 by Hisham Al Ghunaimi, Faozi A. Almaqtari, Ronald Wesonga, Ahmed Elmashtawy

    Published 2025-05-01
    “…Through an examination of worldwide FinTech adoption patterns, this research offers perspectives on Oman’s progress toward becoming a cashless society. …”
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  16. 4076

    Numerical and experimental study on the combustion pressurization and gaseous products of propellant in a combustor by Chenzhuo Hao, Xing Lv, Zhibin Sun, Jiangong Zhao, Wen Ao

    Published 2025-09-01
    “…Results showed a sigmoidal pressure profile, with pressure rise rates nonlinearly dependent on propellant mass and surface area. …”
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  17. 4077
  18. 4078

    Detection of Cisplatin Resistance in Bladder Cancer Using Machine Learning by Moditha Reddy Jagannatha Reddy, Mrudula Ranganatha, Shanthala Lakshminarayana, Jayoung Kim, Sungyong Jung, Yuze Sun, Hyusim Park

    Published 2025-01-01
    “…However, the emergence of cisplatin resistance poses significant challenges, contributing to high recurrence rates. This study investigates the mechanisms of cisplatin resistance in BC through the application of Machine Learning (ML) models, including Association Rule Mining, K-mode Clustering, and Decision Tree Classifier. …”
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  19. 4079

    Exploring cognitive and emotional symptoms associated with hippocampal subfield atrophy in drug-induced Parkinsonism by Wei Zhou, MengYue Tang, Bo Cheng, Ling Sun, HongYu Lin, Yang Fan, Nian Liu, Shushan Zhang

    Published 2025-07-01
    “…This study explores hippocampal subfield volumes in DIP compared to Parkinson’s disease (PD) and healthy controls (HCs), investigating correlations with cognitive (Montreal Cognitive Assessment, MoCA), emotional (Hamilton Depression Rating Scale, HAMD; Hamilton Anxiety Rating Scale, HAMA), and motor (Unified Parkinson’s Disease Rating Scale, UPDRS) symptoms.MethodsA total of 19 DIP patients, 20 PD patients, and 20 HCs were enrolled. …”
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  20. 4080

    Distribution and Antimicrobial Resistance Analysis of Blood Culture Isolates at a Chinese National Cardiovascular Regional Medical Center: A 7-Year Retrospective Study by Wang Q, Wu F, Li T

    Published 2025-08-01
    “…Among Staphylococcus isolates, methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococci (MRCNS) were identified at rates of 51.6% and 88.7%, respectively. The carbapenem resistance rates of K. pneumoniae and E. coli were 28.8% and 4.0%, respectively. …”
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