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  1. 61

    Machine Learning-Based predictive model for adolescent metabolic syndrome: Utilizing data from NHANES 2007–2016 by Yu-zhen Zhang, Hai-ying Wu, Run-wei Ma, Bo Feng, Rui Yang, Xiao-gang Chen, Min-xiao Li, Li-ming Cheng

    Published 2025-01-01
    “…The predictive models we developed and validated demonstrated high performance, making them suitable for large-scale, non-medical primary screening and early warning of adolescent Metabolic syndrome. …”
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    Article
  2. 62

    Cardiometabolic index as a predictor of gallstone incidence in U.S. adults: insights from NHANES 2017–2020 by Ji Li, Shou-jun Bai

    Published 2025-01-01
    “…The ROC curve demonstrated superior predictive performance (AUC = 0.778), outperforming conventional metrics like BMI and WC. …”
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    Article
  3. 63

    Design, build, test and flight of the world's fastest electric aircraft by Timothy Bingham, Mathew Moore, Taylor DeCaux, Marco Pacino

    Published 2022-12-01
    “…Abstract Power to mass ratio is one of the key characteristics of most high‐performance vehicles, a record‐breaking ACCEL race aircraft is no different. …”
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    Article
  4. 64

    Die funksie van mannekragbestuur in effektiewe kommunikasie binne die organisasie by J. L. COETZEE

    Published 2022-11-01
    “…With the dramatic change of the South African Industrial complexion with its different races integrating the work place, it has now become imperative to focus more on the behavioral dimension of personnel management in order to influence the behaviour of people at work in a positive way.  …”
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    Article
  5. 65

    Development of an Indicator for the Assessment of Damage Level in Rolling Element Bearings Based on Blind Deconvolution Methods by Marco Buzzoni, Elia Soave, Gianluca D’Elia, Emiliano Mucchi, Giorgio Dalpiaz

    Published 2018-01-01
    “…The proposed indicator allows to track the bearing degradation process taking into account three different possible positions: outer race, inner race, and rolling element. This indicator fits real-time monitoring procedures allowing for the automatic detection and identification of the bearing fault. …”
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    Article
  6. 66

    An Ensemble Feature Selection Approach-Based Machine Learning Classifiers for Prediction of COVID-19 Disease by Md. Jakir Hossen, Thirumalaimuthu Thirumalaiappan Ramanathan, Abdullah Al Mamun

    Published 2024-01-01
    “…This deadly disease has taken a toll on the life of the entire human race, and an exact cure for it is still not developed. …”
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    Article
  7. 67

    An Evaluation of Deep Learning Methods for Small Object Detection by Nhat-Duy Nguyen, Tien Do, Thanh Duc Ngo, Duy-Dinh Le

    Published 2020-01-01
    “…As a result, performance of object detection has recently had significant improvements. …”
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    Article
  8. 68

    MODIFICATION OF STUDENT ASSESSMENT CRITERIA AS A CONDITION OF MOTIVATION INCREASING FOR PHYSICAL EDUCATION LESSONS by E. M. Revenko

    Published 2016-01-01
    “…The aim of the study is the rationale for the changes assessment criteria student performance in physical education on the basis of individualtypological variants of age development.The main task of PE lessons is formation of steady need for systematic occupations by physical exercises. …”
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  9. 69

    Phytochemical and Bioactivity Evaluation of Bee Pollen and Androecia of <i>Castanea</i>, <i>Salix</i>, and <i>Quercus</i> Species by Nisa Beril Sen, Irena Vovk, Hasan Kırmızıbekmez, Etil Guzelmeric

    Published 2024-12-01
    “…The botanical origins of bee pollen were determined via phytochemical profiling using HPTLC-image analyses showing that bee pollen from the same botanical source had almost identical profiles regardless of collection location, geographical differences, and the bee race. <i>In vitro</i> tests and HPTLC-effect-directed analyses (EDAs) were performed to assess antioxidant and xanthine oxidase (XO) inhibitory activities of bee pollen, androecia, and <i>N</i><sup>1</sup>,<i>N</i><sup>5</sup>,<i>N</i><sup>10</sup>-tricaffeoylspermidine. …”
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  10. 70

    Leukocyte Telomere Length and Cognitive Function in Older Adults by Emily Frith, Paul D. Loprinzi

    Published 2018-04-01
    “…Leukocyte telomere length was associated with higher cognitive performance, independent of gender, race-ethnicity, physical activity status, body mass index and other covariates. …”
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    Article
  11. 71

    Reliable SRAM using NAND‐NOR Gate in beyond‐CMOS QCA technology by Marshal Raj, Lakshminarayanan Gopalakrishnan, Seok‐Bum Ko

    Published 2021-05-01
    “…Abstract The rise in complementary metal‐oxide semiconductor (CMOS) limitations has urged the industry to shift its focus towards beyond‐CMOS technologies to stay in race with Moore’s law. Quantum‐dot cellular automata (QCA) is considered to be a prominent paradigm among the emerging beyond‐CMOS technologies. …”
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  12. 72
  13. 73

    Predictors of Long-Time Survivors in Nonmetastatic Colorectal Signet Ring Cell Carcinoma: A Large Population-Based Study by Wuguang Zhang, Wenqian Gong, Changhai Wu, Mengting Li, Xiaolong Tu

    Published 2022-01-01
    “…Multivariate logistic regression analysis revealed that race, marital status, tumor infiltration, lymph node involvement, and primary tumor treatment were independent predictors of LTSs. …”
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  14. 74

    A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing by Hu Aijun, Lin Jianfeng, Sun Shangfei, Xiang Ling

    Published 2017-01-01
    “…The impulsive extraction performance of the proposed CTH is compared with that of finite impulse response filter (FIR) by analyzing the simulated bearing fault signals, and the result indicates that the CTH is more effective in extracting impulsive signals. …”
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    Article
  15. 75

    IS SUSTAINABLE RUNNING POSSIBLE? EXPLORING INITIATIVES IN URBAN MARATHONS IN EUROPE by Liwia Delińska

    Published 2024-12-01
    “…Results: The study reveals a variety of sustainable practices adopted by marathon organizers. All races highlight efforts related to recycling and waste reduction, and nearly all mention supporting local charities, using biodegradable materials, and promoting sustainable transport on their websites. …”
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    Article
  16. 76

    Machine Learning-Based Diabetes Risk Prediction Using Associated Behavioral Features by Ayodeji O. J. Ibitoye, Joseph D. Akinyemi, Olufade F. W. Onifade

    Published 2024-01-01
    “…Diabetes is a global health concern that affects people of all races. With different uncertainties in human lifestyles, it is difficult to predict diabetes while assuming that the risk patterns are the same for all. …”
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    Article
  17. 77

    Philosophical Review of Artificial Intelligence for Society 5.0 by Ggaliwango, Marvin, Tamale, Micheal, Kanagwa, Benjamin, Jjingo, Daudi

    Published 2024
    “…The rapid devel opment of AI presents many opportunities and challenges for the human race. As AI becomes more autonomous and intelligent, it has the potential to greatly improve the performance of manufacturing and service systems, as well as contribute to social development and human life [2, 11, 12, 13]. …”
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  18. 78

    Fault Diagnosis of Planetary Gearbox Based on Motor Current Signal Analysis by Ziyuan Jiang, Qinkai Han, Xueping Xu

    Published 2020-01-01
    “…The dynamic experiment of the planetary gearbox with seven types of faults, including tooth chipping in sun/planet/ring gears, inner race spall in planet bearing, inner/outer races, and ball spalls in input support bearing, is conducted. …”
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  19. 79

    „L’ uomo nuovo” nei testi di Virginie Despentes e Sandro Veronesi by Magdalena Lange-Henszke

    Published 2024-01-01
    “…In the second half of the 19th century, the revolutionary concept of individual freedom is transformed into a collective vision, the vision of a dominant race composed of "ordinary" people united by a common experience. …”
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    Article
  20. 80

    Exploring the inequalities experienced by health and care workforce and their bases - A scoping review protocol. by Roomi Aziz, Anuj Kapilashrami, Reza Majdzadeh

    Published 2024-01-01
    “…Informed planning warrants a better understanding of the health labour market (HLM) to tackle a variety of health and care workforce challenges: from addressing critical supply shortage, to ensuring optimal skills mix and distribution, and addressing motivation and performance challenges. Scant evidence around the overall role of socioeconomic and cultural factors like gender, race, marital status, citizenship (migrant) status, workplace hierarchy etc. in determining workforce composition, deployment, distribution, retention, un- and underemployment, sub-optimal work environments and other factors in the 'HRH crisis' warrants further exploration. …”
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    Article