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  1. 1561
  2. 1562

    Artificial intelligence-assisted clinical decision support for childhood asthma management: A randomized clinical trial. by Hee Yun Seol, Pragya Shrestha, Joy Fladager Muth, Chung-Il Wi, Sunghwan Sohn, Euijung Ryu, Miguel Park, Kathy Ihrke, Sungrim Moon, Katherine King, Philip Wheeler, Bijan Borah, James Moriarty, Jordan Rosedahl, Hongfang Liu, Deborah B McWilliams, Young J Juhn

    Published 2021-01-01
    “…<h4>Measurements</h4>Intervention was a quarterly A-GPS report to clinicians including relevant clinical information for asthma management from EHRs and machine learning-based prediction for risk of asthma exacerbation (AE). …”
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  3. 1563

    Effects of urban sprawl on land use change in the peripheral villages of Tehran metropolis (case study: Tehran-Damavand axis) by ِAshkan Mohammadi, Naser Shafiei Sabet, Alireza Shakiba

    Published 2019-12-01
    “…After field operation and harvesting of samples with two-frequency GPS receivers and introducing it to the software, the classification of complications was performed by support vector machines with a mean total accuracy of 62.69% and a mean Kappa coefficient of 85.33%. …”
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  4. 1564
  5. 1565

    Epilepsy is associated with the accelerated aging of brain activity in sleep by Peter N. Hadar, Mike Westmeijer, Mike Westmeijer, Haoqi Sun, Erik-Jan Meulenbrugge, Jin Jing, Luis Paixao, Ryan A. Tesh, Madalena Da Silva Cardoso, Pierrick Arnal, Rhoda Au, Chol Shin, Chol Shin, Soriul Kim, Robert J. Thomas, Sydney S. Cash, M. Brandon Westover

    Published 2024-11-01
    “…We measured the sleep-based brain age index (BAI) in a diverse group of patients with epilepsy. The BAI is a machine learning-based biomarker that measures how much the brain activity of a person during overnight sleep deviates from chronological age-based norms.MethodsThis case–control study drew information of age-matched controls without epilepsy from home sleep monitoring volunteers and from non-epilepsy patients with Sleep Lab testing. …”
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  6. 1566

    Development and Validation of a Dynamic Real-Time Risk Prediction Model for Intensive Care Units Patients Based on Longitudinal Irregular Data: Multicenter Retrospective Study by Zhuo Zheng, Jiawei Luo, Yingchao Zhu, Lei Du, Lan Lan, Xiaobo Zhou, Xiaoyan Yang, Shixin Huang

    Published 2025-04-01
    “…With the increasing availability of high-frequency electronic medical record (EMR) data, machine learning (ML) approaches have emerged as powerful tools to model complex temporal patterns and support dynamic clinical decision-making. …”
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  7. 1567

    Eco-friendly Grinding: A Bibliometric and Knowledge Map Analysis by Hao Wu, Jixin Liu, Changhe Ji, Rui Sheng, Zongming Zhou, Xu Yan, Xuelei Song, Guang Wang, Lan Dong, Yusuf Suleiman Dambatta, Changhe Li

    Published 2025-03-01
    “…Abstract As the manufacturing industry shifts toward environmentally sustainable practices, grinding—a high-precision processing method—is commonly used to ensure final workpiece dimensions and surface quality. …”
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  8. 1568

    Acoustic field in the mechanical workshop by Janusz Piechowicz

    Published 2014-01-01
    “…The paper presents an analysis of an acoustic field inside an industrial room, when one machine of not large dimensions is operating. The geometric model of the workshop was implemented and Raynoise software was used to determine the distribution of the sound level for selected frequencies. …”
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  9. 1569

    PREVALENCE OF BLOOD CIRCULATION DISEASES AMONG WORKERS EXPOSED TO OCCUPATIONAL NOISE IN MINERAL EXTRACTION AND THEIR WORK-RELATEDNESS by E. R. Shaykhlislamova, A. D. Volgareva, M. P. Obukhova, G. G. Gimranova, L. K. Karimova, E. T. Valeeva

    Published 2019-02-01
    “…Thus, the elevated prevalence and an increase in arterial hypertension frequency due to work experience do not exclude potential impact of hazardous working conditions on its formation. …”
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  10. 1570

    Evaluation of smartphone-based cough data in amyotrophic lateral sclerosis as a potential predictor of functional disability. by Pedro S Rocha, Nuno Bento, Duarte Folgado, André V Carreiro, Miguel Oliveira Santos, Mamede de Carvalho, Bruno Miranda

    Published 2024-01-01
    “…Our goal was to explore the association between cough sound characteristics and the respiratory and bulbar functions in ALS.<h4>Methods</h4>This was a single-center, cross-sectional, and case-control study. …”
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  11. 1571
  12. 1572

    An investigation into certain Persian Suffixes extracted from Tǎrix-ol-vozarǎ: natural morphology by shiva ahmadi, jalal Rahimian

    Published 2025-02-01
    “…A suggestion for future studies is to conduct a corpus-based analysis of subject suffixes in Persian language teaching coursebooks to determine whether these books teach subject suffixes, considering their ranking of naturalness and unmarkedness.   Materials and methods As this paper is corpus-based, the data were made machine-readable. …”
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  13. 1573

    Experimental Investigation on Noise and Vibration Reduction in Twin-screw Refrigeration Compressor Unit by Zhang Weimin, Lu Yunzhuang

    Published 2012-01-01
    “…Some noise and vibration reduction methods were also presented. The results of experimental comparison of the screw compressor unit before and after improvement indicate that improving the rotor profile design, adjusting the meshing clearance of female rotor and male rotor, and enhancing the rotor machining precision are significantly effective for noise and vibration reduction.…”
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  14. 1574
  15. 1575

    Potential Modulatory Roles of Gut Microbiota and Metabolites in the Associations of Macronutrient‐to‐Physical Activity Ratios With Dyslipidemia by Menghan Wang, Guoqing Ma, Yunfeng Li, Junqi Li, Jiawen Xie, Juan He, Chen He, Yifei He, Kaizhen Jia, Xinran Feng, Tian Tian, Hongbao Li, Xia Liao, Xin Liu

    Published 2025-05-01
    “…However, the associations of the specific macronutrient‐to‐PA ratio with dyslipidemia, and the underlying mechanisms regarding gut microbiota and metabolites, remain largely unexplored. Methods Dietary and PA information from 273 participants with or at risk of metabolic syndrome was collected via a food frequency questionnaire and the International Physical Activity Questionnaire. …”
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  16. 1576
  17. 1577

    The main approaches to the formation of competence in the field of diagnostics of circuits based on FPGA by Yuriy V. Shapovalov, Boris N. Chugaev

    Published 2018-01-01
    “…At the same time such STD parameters as the required accuracy of the results of technical diagnosis, allowable frequency and duration of diagnosis, a valid memory for storing diagnostic information for the STD for different purposes can vary within a wide range.Thus, the use of methods for test sets’ construction allows to obtain the algorithm of generation of all the necessary information for conducting diagnostic tests using the analytical form of the output function. …”
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  18. 1578

    Performance of TF-IDF for Text Classification Reviews on Google Play Store: Shopee by Najwa Umaira Che Mohd Safawi, Nur Amalina Shafie

    Published 2024-09-01
    “…The TF-IDF approach extracts feature by considering the frequencies of terms and their inverse document frequencies. …”
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  19. 1579

    On the connection between least squares, regularization, and classical shadows by Zhihui Zhu, Joseph M. Lukens, Brian T. Kirby

    Published 2024-08-01
    “…Here, we clarify and explore the connection between CS techniques and least squares (LS) and regularized least squares (RLS) methods commonly used in machine learning and data analysis. …”
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  20. 1580

    English Vocabulary Learning Aid System Using Digital Twin Wasserstein Generative Adversarial Network Optimized With Jelly Fish Optimization Algorithm by Fei Wu

    Published 2024-12-01
    “…The main goal of NLP is typically word segmentation. Since the machine learning techniques cannot be directly applied to the practical issue of significant structural disparities between various data modalities in a multi-modal context. …”
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