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  1. 3881

    End‐to‐End Crystal Structure Prediction from Powder X‐Ray Diffraction by Qingsi Lai, Fanjie Xu, Lin Yao, Zhifeng Gao, Siyuan Liu, Hongshuai Wang, Shuqi Lu, Di He, Liwei Wang, Linfeng Zhang, Cheng Wang, Guolin Ke

    Published 2025-02-01
    “…XtalNet achieves a top‐10 Match Rate of 90.2% and 79% for hMOF‐100 and hMOF‐400 in conditional crystal structure prediction task, respectively. …”
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    Article
  2. 3882

    Monitoring long-term cardiac activity with contactless radio frequency signals by Bin-Bin Zhang, Dongheng Zhang, Yadong Li, Zhi Lu, Jinbo Chen, Haoyu Wang, Fang Zhou, Yu Pu, Yang Hu, Li-Kun Ma, Qibin Sun, Yan Chen

    Published 2024-12-01
    “…Here we present a radio frequency (RF)-based (60 to 64 GHz) sensing system that monitors long-term heart rate variability (HRV) with clinical-grade accuracy. …”
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    Article
  3. 3883

    Three-Dimensional Spatio-Temporal Slim Weighted Generative Adversarial Imputation Network: Spatio-Temporal Silm Weighted Generative Adversarial Imputation Net to Repair Missing Oce... by Yiwan Yue, Juan Li, Yu Zhang, Meiqi Ji, Jingyao Zhang, Rui Ma

    Published 2025-05-01
    “…The generator captures the three-dimensional spatial distribution and vertical profile dynamic patterns through the spatio-temporal attention module, while the discriminator introduces gradient penalty constraints to prevent gradient vanishing. …”
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    Article
  4. 3884

    Precise irrigation of dryland cotton under canal irrigation system constraints based on the CERES-CROPGRO-Cotton model by Lei Wang, Liang He, Weihong Sun, Chen Gao, Zhenxiang Han, Meiwei Lin

    Published 2025-08-01
    “…Existing studies primarily examine the relationship between irrigation and soil but often overlook the combined effects of irrigation networks, time constraints, and the interactions between crop growth patterns, weather, soil, and irrigation strategies. …”
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    Article
  5. 3885

    Sex differences in adiposity and hemodynamic parameters as cardiovascular risk indicators among South African university staff: a descriptive cross-sectional study by Sibusiso Gogoba, Samuel Oluwaseun Olojede, Babatunde Adebola Alabi, Sodiq Kolawole Lawal, Odey Akpa, Ayoola Isaac Jegede, Onyemaechi Okpara Azu

    Published 2025-08-01
    “…Additionally, the study indicated that mean values for HP, such as systolic blood pressure, diastolic blood pressure, and mean arterial pressure, were elevated in males, whereas pulse pressure was higher in females. Notably, heart rate was consistent across both sexes. Conclusion This study provides useful information about the sex-based patterns of adiposity indices and hemodynamic distribution among selected South African populations.…”
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  6. 3886

    Development of oculomotor digital biomarkers using clinical examinations as “Ground Truth” by Brittany Trotter, Melissa Hunfalvay, Melissa Hunfalvay, Nicholas P. Murray, Greg C. Mathews, Frederick Robert Carrick, Frederick Robert Carrick, Frederick Robert Carrick, Frederick Robert Carrick

    Published 2025-05-01
    “…A board-certified neurologist with 16 years of experience also conducted an oculomotor examination to mirror eye movement patterns.ResultsData analysis included a series of single-block logistic regressions to examine the scoring of the six eye-tracking tests (RightEye, LLC) to predict clinician-rated eye movement classifications (i.e., normal or abnormal). …”
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  7. 3887

    Functional Identification and Transcriptional Activity Analysis of <i>Dryopteris fragrans HMGR</i> Gene by Meng Sun, Qian Ma, Xueqi Wang, Jialiang Guo, Jiaxuan Wang, Dongrui Zhang, Kirill Tkachenko, Wenzhong Wang, Ying Chang

    Published 2025-07-01
    “…Under abiotic stress conditions, <i>DfHMGR</i>s exhibited differential expression patterns, with marked upregulation under salt and drought stress. …”
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    Article
  8. 3888

    Loss of <i>Myostatin</i> Shapes the Transcriptomic and Epigenetic Landscapes Across Multiple Muscle Types in Cattle by Chao Hai, Xuefei Liu, Chunling Bai, Guanghua Su, Lei Yang, Guangpeng Li

    Published 2025-06-01
    “…The results showed that the <i>MSTN</i> gene-edited (MT) cattle skeletal muscle exhibited significantly larger myofiber cross-sectional areas (<i>p</i> = 0.049), accompanied by reduced shear force (<i>p</i> = 0.044), cooking loss rate (<i>p</i> = 0.0029), and pH (<i>p</i> = 0.014). …”
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  9. 3889
  10. 3890

    A Lower Energy Balance is Associated With Higher Severity and Odd of Depression Based on the Beck Depression Inventory‐13 (BDI‐13) in a Retiring Age Population: A Population‐Based... by Mohammad Reza Shadmand Foumani Moghadam, Mostafa Shahraki Jazinaki, Zohre Hosseini, Fatemeh Rajabi, Sharif Etemdi, Melika Hadizadeh, Parnian Pezeshki, Mohammad Amushahi, Reza Rezvani

    Published 2025-03-01
    “…Energy balance was calculated by subtracting energy intake from Total Energy Expenditure (TEE) and Basal Metabolic Rate (BMR) which was calculated using Bio‐Electrical Impedance Analysis and Mifflin and St‐Jeor formula. …”
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  11. 3891

    Multivariate Evaluation of Flash Drought Across the United States by Jason A. Otkin, Yafang Zhong, Trent W. Ford, Martha C. Anderson, Christopher Hain, Andrew Hoell, Mark Svoboda, Hailan Wang

    Published 2024-11-01
    “…The FDII method uses the rate of intensification (FD‐INT) and subsequent drought severity (DRO‐SEV) to determine when a flash drought occurred and the strength of the event. …”
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  12. 3892

    Klasifikasi Pola Pergerakan Bola Mata Menggunakan Metode Multilayer Backpropagation by Karina Amadea, Fitra A. Bachtiar, Gusti Pangestu

    Published 2022-02-01
    “…Sedangkan untuk parameter-parameter yang digunakan yaitu learning rate sebesar 0,7 dan iterasi sebanyak 100 iterasi. …”
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  13. 3893

    Scalability analysis of heavy-duty gas turbines using data-driven machine learning by Shubhasmita Pati, Julian D. Osorio, Mayank Panwar, Rob Hovsapian

    Published 2025-04-01
    “…The ML model, trained on data from various operating conditions and performance parameters, aims to uncover intricate relationships and patterns, resembling GT characteristics at different scales (ratings). …”
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  14. 3894

    Consensus-Driven Development of an Exercise Base Manual Programme for Prediabetic Patients: A Delphi Study by Hafeez S, Shakil-Ur-Rehman S, Riaz S, Hafeez S, Hafeez JS, Mumtaz H

    Published 2025-05-01
    “…Initial recommendations were rated by panalists through a 5-point Likert scale. …”
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  15. 3895

    Effects on HbA1c of referral of type 2 diabetes patients to secondary care by Kjersti Nøkleby, Anne K. Jenum, Esben Selmer Buhl, Tor Claudi, John G. Cooper, Signe Flottorp, Karianne F. Løvaas, Sverre Sandberg, Tore Julsrud Berg

    Published 2025-04-01
    “…We used latent class trajectory modelling to identify subgroups of patients with similar patterns of HbA1c one year before to one year after the first consultation at a DOC. …”
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  16. 3896
  17. 3897

    Adipose-Derived Stem Cells for Cartilage Tissue Engineering: A Bibliometric Analysis of Trends and Themes by Zhang J, Wu K, Zhou L, Zheng S

    Published 2025-05-01
    “…Bibliometric and visualized analysis was performed using VOSviewers (V 1.6.20), CiteSpace (V 6.3.R1) and Bibliometrix (R 4.3.3).Results: A total of 436 English articles were analyzed, involving 2356 authors from 1532 institutions across 50 countries/regions, contributing to 189 journals. The annual growth rate of publications was 8.73%, peaking in 2021. …”
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  18. 3898

    Spatiotemporal Variability and Drivers of Cropland Non-Agricultural Conversion Across Mountainous County Types: Evidence from the Qian-Gui Karst Region, China by Qingping Lu, Siji Zhu, Zhaofu Xiao, Guifang Zhu, Jie Li, Jiahao Cui, Wen He, Jun Sun

    Published 2025-04-01
    “…Specifically, the growth rate of the CNAC area was the highest in apparent mountainous (110.36%) and quasi-mountainous counties (100.5%), followed by semi-mountainous counties (95.28%), while entirely mountainous (40.89%) and pure hilly counties (37.68%) experienced the lowest growth, revealing distinct regional disparities. (2) Spatially, CNAC exhibited a pattern of “high in the north and south, low in the central region”, and the overall level of CNAC displayed significant regional imbalances, with extreme grades distributed in provincial capitals, high and medium grades concentrated in prefecture-level city districts, and light and low grades mainly located in counties and districts (accounting for more than 55.56% of the total number of research units in the two time periods). (3) There was significant spatial heterogeneity in the driving effect of factors influencing CNAC. …”
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  19. 3899

    A holistic framework for intradialytic hypotension prediction using generative adversarial networks-based data balancing by Hsuan-Ming Lin, JrJung Lyu

    Published 2025-07-01
    “…This yielded an Original Training dataset of 95,856 samples (14.73% IDH rate) and a test set (15.21% IDH rate). From this Original Training dataset, a Generative Adversarial Network (GAN) was employed to construct a balanced dataset comprising 163,470 samples. …”
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  20. 3900

    Safer Baby Bundle intervention for reducing perinatal mortality in Ethiopia: a quasi-experimental study by Mesfin Tadese, Saba Desta Tessema, Solomon Hailemeskel, Alemayehu Moges, Michael Amera Tizazu, Getnet Mitike Kassie

    Published 2025-08-01
    “…Additionally, the intervention significantly reduced the incidence of non-reassuring fetal heart rate patterns during labour (adjusted risk ratio (aRR)=0.78, 95% CI 0.64 to 0.95), low birth weight (aRR=0.77, 95% CI 0.60 to 0.98) and the need for neonatal resuscitation (aRR=0.59, 95% CI 0.37 to 0.94). …”
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    Article