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  1. 861
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    Prevalence, influencing factors, and prediction model construction of anemia in ankylosing spondylitis based on real-world data: An exploratory study. by Yifan Gong, Kun Yang, Zhaoyang Geng, Hongxiao Liu

    Published 2025-01-01
    “…<h4>Objective</h4>This study aimed to explore the prevalence and influencing factors of anemia in patients with ankylosing spondylitis (AS) using real-world data and to construct a predictive model for anemia in AS.…”
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  3. 863
  4. 864

    Evaluation of Ecosystem Services and Tradeoff and Synergy in the Alpine and Canyon Region of Southwest China Based on Multi-source Geographic Data by LIU Jing, XIANG Jiayi, ZHANG Donghai, LAN Mengyao, GUAN Yinghui

    Published 2024-12-01
    “…In contrast, soil retention services was overall deteriorated, decreasing from 263.50 t/(km2·a) to 226.25 t/(km2·a), with a reduction of 27.50% in the northwest Yunnan alpine canyon ecological maintenance zone. (2) The proportion of the area of ecosystem service hotspot areas increased by 5.41%, following a distribution pattern of the first-class hotspot areas > the non-hot spot areas > the second-class hotspot areas > the third-class hotspot areas form 2000 to 2020. (3) Carbon sequestration services exhibited a synergistic relationship with both water retention services and soil retention services, with synergy areas accounting for 54.91% and 44.46% of the total area, respectively. …”
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  5. 865

    Klasifikasi Kinerja Akademik Siswa Menggunakan Neighbor Weighted K-Nearest Neighbor dengan Seleksi Fitur Information Gain by Rizky Adinda Azizah, Fitra Bachtiar, Sigit Adinugroho

    Published 2022-06-01
    “…NWKNN method has advantages in calculating the weight of classes and overcoming unbalanced data. Information Gain is used to optimize the classifier. …”
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  6. 866

    Challenges in reducing grand multiparity rates in Ethiopia: an analysis of 2019 EDHS data using a multilevel model approach by Diriba Dibaba, Tesfaye Getachow Charkos

    Published 2025-02-01
    “…Abstract Background One of the Sustainable Development Goals (2030) focuses on reducing the total fertility rate. Reducing grand multiparity in Ethiopia remains a challenge. …”
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  7. 867

    AI-driven prediction of drug activity against Toxoplasma gondii: Data augmentation and deep neural networks for limited datasets by Natalia V. Karimova, Ravithree D. Senanayake

    Published 2025-06-01
    “…This Artificial Intelligence (AI)-driven Quantitative Structure-Activity Relationship (QSAR) study applies deep neural networks (DNNs) to predict pIC50 values for potential inhibitors, using 2D and 3D molecular descriptors and fingerprints. To address training data limitations, we introduced a novel methodology combining targeted descriptor selection, Gaussian noise-based data augmentation, and an ensemble of DNNs. …”
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  8. 868

    Magnitude and pattern of usage of contraception and counselling services in an urban health centre in East Delhi: A secondary data analysis by Garima Singh, Subham Kansal, Arihant Jain, Kanishka Garg, Manan Tayal, Boyana T. Tejaswi, Anita S. Acharya, Ananya R. Laskar, Jyoti Khandekar

    Published 2025-01-01
    “…Conclusion: The study underscores the importance of counselling in shaping family planning decisions. Insights gained in this study can help healthcare providers tailor counselling approaches to better address the diverse needs of individuals and couples.…”
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  9. 869

    Progression of Heart Failure in People with Type 2 Diabetes in Germany: An Analysis Using German Health Insurance Claims Data by Keni Cheng-Siang Lee, Tobias Wagner, Adee Kennedy, Michael Wilke

    Published 2024-08-01
    “…In Germany, no recent longitudinal data are available. **Objectives:** To (1) measure the proportion of individuals with T2D who acquire HF over 2 years and (2) categorize ejection fraction using routine data and an algorithm, and (3) understand progression of HF in 5-year follow-up. …”
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    A hybrid machine learning model for intrusion detection in wireless sensor networks leveraging data balancing and dimensionality reduction by Md. Alamin Talukder, Majdi Khalid, Nasrin Sultana

    Published 2025-02-01
    “…This study presents a novel hybrid machine learning (ML) model that integrates KMeans-SMOTE (KMS) for data balancing and principal component analysis (PCA) for dimensionality reduction, evaluated using the WSN-DS and TON-IoT datasets. …”
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  12. 872

    Introducing a Markov Chain-Based Energy Awareness Approach for Cloud Data Center Virtual Machine Dynamic Management by Xinbin Huang, Yu Huang, Cecılıa. Mercado

    Published 2024-12-01
    “…Dynamic management of virtual machines (VMs) in cloud data centers is essential for achieving flexibility, efficiency, and high productivity in cloud systems. …”
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    Perancangan Sistem Informasi Basis Data IKM Binaan Pada Dinas Perindustrian dan Perdagangan Provinsi Jawa Barat by Iman Sudirman, Atya Nur Aisha, Joe Monang, Taufan Fadhilah Iskandar

    Published 2022-12-01
    “…Tujuan penelitian ini adalah merancang sistem informasi basis data unit usaha IKM binaan berbasis website pada Disperindag Jabar. …”
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  15. 875

    Data-driven understanding on soccer team tactics and ranking trends: Elo rating-based trends on European soccer leagues. by Dong Hee Jung, Jason J Jung

    Published 2025-01-01
    “…Using a dataset comprising matches from the top five European soccer leagues, we analyzed team performance trends over time using the Elo rating system and rolling regression. …”
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    Mitigating the oxidative stress caused by UV-B in date palm seedlings: efficacy of salicylic acid and ascorbic acid application by Swaid Sajeda Yaseen, Shareef Hussein Jasim

    Published 2025-01-01
    “…The date palm is one of the plants whose growth is being affected by global warming through harmful wavelengths of UV radiation. …”
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    REFINED ESTIMATES OF DIRECT PYROGENIC CARBON EMISSIONS IN RUSSIAN FORESTS BASED ON REMOTE MONITORING DATA FROM 2011 TO 2023 by D. V. Ershov, E. N. Sochilova, K. A. Kovganko

    Published 2024-12-01
    “…The paper presents refined estimates of direct carbon emissions from forest fires in Russia based on satellite data for the period from 2011 to 2023. The main differences from the estimates in previous our publications are the use of a new version of annually updated products of pre-fire forest combustible fuels (FCF), which include new data on the reserves of FCF in the upper tree canopy, undergrowth, living ground vegetation cover and wood debris. …”
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