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  1. 5641

    Development of a Nomogram Model to Predict Mortality in ANCA‐Associated Vasculitis Patients With Pulmonary Involvement by Qifang Guo, Yijia Shao, Le Yu, Xiuling Zhang, Jingjing Shang, Xueqin Feng, Wei Zhou, Xinwang Duan

    Published 2025-04-01
    “…To validate the model, assessments were conducted for discrimination, calibration, and through decision curve analysis. Results The mean survival time of lung involvement AAV patients was 57.0 ± 4.1 months. …”
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  2. 5642

    Bioaerosols in Agriculture: A Comprehensive Approach for Sustainable Crop Health and Environmental Balance by Njomza Gashi, Zsombor Szőke, Péter Fauszt, Péter Dávid, Maja Mikolás, Ferenc Gál, László Stündl, Judit Remenyik, Melinda Paholcsek

    Published 2025-04-01
    “…Delving into their origin and dispersion, we assess the key methods for their collection and analysis while also comparing the strengths and weaknesses of various sampling techniques. …”
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  3. 5643

    Distributed decision making for unmanned aerial vehicle inspection with limited energy constraint by Qi Wang, Haomin Zhu, Gang Pan, Jianguo Wei, Chen Zhang, Zhu Huang, Guowei Ling

    Published 2024-12-01
    “…By leveraging modeling and analysis of the energy density of existing UAV batteries, we can forecast the flight range and distances achievable by UAVs. …”
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  4. 5644

    Biotechnology in Genomic Surveillance. Status and development prospects by V. G. Akimkin, A. S. Cherkashina, A. I. Tyumentsev, M. A. Tyumentseva, K. F. Khafizov, V. V. Petrov, T. A. Semenenko, Yu. L. Lebedeva, E. A. Cherkashin

    Published 2025-07-01
    “…Approaches that can take genomic epidemiological surveillance to a new technological level include rapid nucleic acid amplification methods, including isothermal amplification methods, metagenomic and targeted analysis using high-throughput sequencing technologies, a targeted genome editing system, as well as diagnostic solutions based on it, and the development of genomic sequence databases. …”
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  5. 5645
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  7. 5647

    Longitudinal performance trajectories for youth female and male soccer players: 10m-sprint percentile curves adapted to biological age by Julia Hernandez, Chantal Widmer, Stephen Cobley, Dennis-Peter Born, Wolfgang Taube, Michael Romann

    Published 2025-01-01
    “… Introduction Longitudinal performance monitoring is essential in sport science for accurate talent identification and forecasting future performance. The present study applied linear mixed-effects models (LMM) to analyze the longitudinal performance development of youth soccer players, both female and male. …”
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  8. 5648

    The Effect of Land Use Change on Runoff Using the SWAT Model in the Tajan Watershed by hayede bayani, ali bagheri, Davod Akbari Nodehi, Valiollah Karimi

    Published 2024-10-01
    “…The results of the analysis of changes during the years 1990-2020 showed the reduction of forests by 1211 hectares. …”
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  9. 5649

    Thinking on the Meteorological Services to Ensure the Development of a System for New Energy Sources by Yongchang ZHU, Xiaofeng ZHANG, Zhenghong CHEN, Dong YE, Juan TAN, Yong QIN, Zhaohui LIU, Zhiqi XU

    Published 2025-01-01
    “…[Method] In this paper, literature and policy research and expert consultation methods were adopted. Based on the analysis of the relevant policie measures of a system for new energy sources, the future development direction of the energy meteorological service was studied, and the development proposals of the meteorological service system for the construction of a system for new energy sources were put forward. …”
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  10. 5650

    Extreme Mediterranean cyclones and associated variables in an atmosphere-only vs. an ocean-coupled regional model by M. Chericoni, M. Chericoni, M. Chericoni, G. Fosser, E. Flaounas, G. Sannino, G. Sannino, A. Anav, A. Anav

    Published 2025-06-01
    “…The atmosphere standalone simulation uses the Weather Research and Forecasting (WRF) model with prescribed ERA5 sea surface temperature (SST), while in the second experiment WRF is coupled to the Massachusetts Institute of Technology General Circulation Model (MITgcm). …”
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  11. 5651
  12. 5652

    Transforming Agroindustry in Indonesia: Emerging Digital Technologies for Reducing Food Loss(Chinese and English versions) by Sari Intan KAILAKU, Yandra ARKEMAN, Y Aris PURWANTO, Faqih UDIN, Bahagiawati AMIRHUSIN, Hendri WIJAYA, Nizmah Jatisari HIDAYAH, Irman HERMADI, Verry Surya HENDRAWAN

    Published 2025-05-01
    “…Compared to conventional methods, this approach offers real-time monitoring, forecast-based analysis, and traceability to support stakeholder decisions and counter inefficiencies in the supply chain. …”
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  13. 5653
  14. 5654

    Modeling land cover changes using an enhanced Markov-future land use simulation model with spatial distribution considerations: a case study in the Yellow River Basin by Jianchen Zhang, Heying Li, Hanwen Zhang, Jiayao Wang, Guangxia Wang, JianWei Xu, Haohua Zheng, HuiLing Ma

    Published 2025-08-01
    “…Taking the Yellow River Basin as an example for analysis, this study compares the model's simulation performance before and after enhancement, focusing on the land use types with the most and least improvement. …”
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  15. 5655

    Longitudinal study of Orthohantavirus hantanense in Apodemus agrarius and disease risk assessment in the Republic of Korea during 2000–2019 by Terry A. Klein, Kyungmin Park, Shivani Rajoriya, Heung Chul Kim, Jongwoo Kim, Seung-Ho Lee, Se Hun Gu, William J. Sames, Monica L. O’Guinn, Michael J. Turell, Yu-Jin Kim, Jieun Park, Won-Keun Kim, Jin-Won Song

    Published 2025-08-01
    “…This study provides important insights for forecasting heightened viral transmission risks to humans and implementing targeted mitigation strategies in HFRS high-risk regions of the ROK.…”
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  16. 5656

    Exploring the Current Applications and Future Implications of Artificial Intelligence in Public Health Dentistry: A Narrative Review by Tanushri Mahendra Dalvi, Rajeshri Kotwadekar, Shrivardhan R Kalghatgi, Priyanka Paul Madhu, Priyanka Methildeotare

    Published 2025-07-01
    “…AI applications can also be utilised in epidemiologic surveillance for analysis of health-related information in forecasting disease patterns and drafting evidence based public health policies. …”
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    Article
  17. 5657

    Research on Shale Oil Well Productivity Prediction Model Based on CNN-BiGRU Algorithm by Yuan Pan, Xuewei Liu, Fuchun Tian, Liyong Yang, Xiaoting Gou, Yunpeng Jia, Quan Wang, Yingxi Zhang

    Published 2025-05-01
    “…Hyperparameter optimization via grid searching yielded optimal configurations, while field applications demonstrated operational feasibility. Comparative analysis revealed a mean relative error (MRE) of 16.11% between predicted and observed production values, substantiating the model’s predictive competence. …”
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  18. 5658

    Long‐Term Trends and Projections of Multiple Myeloma Across Three Continents: A Comparative Study of China, the United States of America, the Russian Federation, England and France... by Huiqiang Wu, Zhiyin Cai, Wanyi Liu, Zechuan Wang, Baoying Qiu, Weihui Liu, Weihuang Zhuang

    Published 2025-06-01
    “…An age‐period‐cohort model was employed to evaluate the disparities among nations, while an autoregressive integrated moving average (ARIMA) model was employed to forecast the impending developments over the subsequent 15 years. …”
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  19. 5659

    Study for Predicting Land Surface Temperature (LST) Using Landsat Data: A Comparison of Four Algorithms by Elhadi K. Mustafa, Yungang Co, Guoxiang Liu, Mosbeh R. Kaloop, Ashraf A. Beshr, Fawzi Zarzoura, Mohammed Sadek

    Published 2020-01-01
    “…The soft computing models used for predicting land surface temperature (LST) changes are very useful to evaluate and forecast the rapidly changing climate of the world. …”
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  20. 5660

    A Physics-Enhanced Network for Predicting Sequential Satellite Images of Typhoon Clouds by Jiawei Yuan, Liling Zhao, Runling Yu, Xiaoqin Lu, Min Xia, Yi Liu, Yuru Wang, Xinyue Wang

    Published 2025-01-01
    “…C<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula>PhyNet is capable of generating high-quality sequential typhoon cloud images, which can significantly enhance the ability of meteorologists to forecast typhoon-related details with greater accuracy. …”
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