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  1. 281

    The Relationship Between Health Literacy, Quality of Life, and Physical Activity Level of Hemodialysis Patients with Chronic Kidney Disease: Cross-Sectional Study by Tülin Düger, Fatma Cansu Aktaş Arslan

    Published 2024-08-01
    “…Data were analyzed using percentage distributions, means, standard deviation, median values, Pearson and Spearman Correlation Analysis, Chi-Square Test, One-Way Analysis of Variance, Kruskal-Wallis Analysis of Variance, and p<0.05 was accepted as the cut-off value for statistical significance.Results: The health literacy level of hemodialysis patients was found to be "problematic" with a mean total scale score of 25.9±82 points. 48.7% of the patients had low physical activity level. …”
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    Article
  2. 282

    To the Study of Individual Nicknames with Situational Motivation in Russian Folk Dialects by Elizaveta Olegovna Borisova

    Published 2024-12-01
    “…This article investigates a specific naming pattern found in traditional individual nicknames, where the internal form of the nickname references a particular episode in the individual’s life. …”
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    Article
  3. 283

    Promoting community food security learning: a case study of Ban Pa Yang, Moo 4, Tha Ngio Sub-district, Mueang District, Nakhon Si Thammarat Province, Thailand by Daycho Khaenamkhaew

    Published 2024-12-01
    “…Data were analyzed to determine frequency, percentage, mean, and standard deviation. For the qualitative research, an interview form and an observation record form were used. …”
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    Article
  4. 284

    Power Spectral Density Response of Bridge-Like Structures Loaded by Stochastic Moving Forces by Silvio Sorrentino

    Published 2019-01-01
    “…In this study, simple and manageable closed form expressions are obtained for the mean value, the spectral density function, and the standard deviation of the deflection induced by stochastic moving loads on bridge-like structures. …”
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    Article
  5. 285

    AWARENESS AND PARTICIPATION OF UNIVERSITY EMPLOYEES IN CANCER SCREENING PROGRAMS by Gönül Yılmaz Dündar, Büşra Dağcı Günal

    Published 2024-06-01
    “…Frequency, percentage, mean, standard deviation and chi-square test were used in the data analysis and evaluation process. …”
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    Article
  6. 286

    Nomogram for predicting secondary surgery in patients with concomitant exotropia by Haihua Liu, Rongjun Liu, Ruiying Li, Kaixiu Li

    Published 2025-05-01
    “…Abstract Concomitant exotropia (CX), a common form of strabismus, often requires surgical correction, yet up to 60% of patients undergo secondary surgery (SS) due to recurrence or residual deviation. …”
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    Article
  7. 287

    Runoff Forecasting Research Coupling Quadratic Factor Screening and Deep Learning by CHENG Liwen, HUANG Shengzhi, LI Pei, LI Ziyan, JIA Songtao, HUANG Qiang

    Published 2023-01-01
    “…The effective screening of factors influencing runoff is a key aspect of runoff forecasting research.However,there are many factors affecting runoff,and these factors have complex interactions.Most of the existing studies use numerically driven models with primary factor screening,and the results show that the input factors are spatially redundant,leading to poor forecasting results.In view of this,the support vector regression (SVR) and the long-short memory network model (LSTM) are compared with Weihe River Basin as an example,and the LSTM model is selected as the optimal forecasting model.Principal component analysis and gray correlation analysis are used for secondary screening of the input terms to form a model coupling principal component analysis,gray correlation analysis,and LSTM.The results show that:①the fitting accuracy of LSTM is higher than that of SVR;②the secondary screening of the input terms improves the forecast accuracy,and the forecast accuracy of the coupled model is better than that of the single model,specifically,the model accuracy evaluation indexes of the coupled model are substantially improved compared with those of the single model;③the Nash efficiency coefficient and deterministic coefficient of the coupled model of gray system correlation analysis are improved by 0.13% and 0.03%,respectively,compared with those of the coupled model of principal component analysis,and the standard deviation ratio of observed values is improved by 42.9%.The study shows that the secondary factor screening by using gray correlation can effectively improve forecast accuracy.…”
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  8. 288

    Analytical forecasting of the optimal trajectory of mobile robot by A. A. Lobaty, D. V. Kapskiy, A. K. Ibrahim, I. A. Shishkovets

    Published 2022-06-01
    “…The optimization criterion in general form and its representation in the form of a minimized quadratic quality functional, convenient for analytical synthesis of control, are substantiated. …”
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    Article
  9. 289

    Herding Behaviour and Stock Market Efficiency: An Empirical Study in the Egyptian Stock Market by Mustafa Hussein Abd-Allah, Khloud Magdy Khalaf Mohamed, Maryam Safwat Mohammed Mahmood, Nada Nour Sayed Mohamed

    Published 2025-06-01
    “…Hwang and Salmon (2004) methodology was also applied to measure herding behaviour. Our comprehensive analysis revealed several key findings regarding market efficiency at the weak form. …”
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  10. 290

    Comparison of the effect of 8 weeks of resistance training with the use of spirulina on the physical indicators of children aged 5 to 7 years with autism spectrum by Sanaz Alamdar, Saeid Rostami

    Published 2023-09-01
    “…The first group, the control group Mean and standard deviation of age (6.87 ± 0.87) years, height (111.13 ± 1.08) cm, weight (27.3 ± 3.2) kg and fat percentage (27.3 ± 1.4) kg, the second group that 8 weeks They only took supplements Mean and standard deviation of age (6.2 ± 0.78) years, height (116.9 ± 2.52) cm, weight (28.4 3 3.02 kg) and fat percentage (27.4 ± 0.42) kg and the third group Mean and deviation Criterion of age (6 ± 0.81) years, height (116 ± 0.87) cm, weight (27.20 ± 4.1) kg and fat percentage (26.1 ± 0.05 kg), who performed resistance training for 8 weeks. …”
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  11. 291

    Research on Model Reconstruction Methods for Partial Point Cloud Information Loss by Zhengping CHANG, Guoshuai YUAN, Jiuhua LI, Yang ZHAO, Zhongqi WANG

    Published 2025-03-01
    “…At the present stage, assembly performance analysis requires model refactoring to predict assembly errors. …”
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  12. 292

    Evaluation of predictive performance of modeling hyperuricemia using medical big data: comparison of data preprocessing methods by Luwei Li, Xian Huang, Cijin Yan, Shuzhan He, Sishuai Cheng, WenJie Yang

    Published 2025-04-01
    “…Conclusion In the statistical analysis of hyperuricemia medical big data, directly using the continuous variable form of raw data for statistical analysis may result in better model performance than using the categorical variable form after assignment. …”
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  13. 293

    CONCEPT AND PRINCIPLES OF CRIME PREVENTION PROGRAMS DEVELOPMENT by M. V. Sedeltsev

    Published 2018-10-01
    “…This is done when the information obtained by the integrated or ongoing analysis is not sufficient to explain the trend or the deviation from the established trends. …”
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  14. 294

    An Analytical Approach to Relay Access Delay in Multihop Relay Chain of VANETs by Dazhou Li, Hai Zhao

    Published 2015-03-01
    “…The dissemination delay of safety messages in the form of text has been studied thoroughly. In contrast, the dissemination delays of video or audio safety messages are just emerging and there are still a lot of things to be done. …”
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  15. 295

    Fiducial Inference in Linear Mixed-Effects Models by Jie Yang, Xinmin Li, Hongwei Gao, Chenchen Zou

    Published 2025-02-01
    “…We develop a novel framework for fiducial inference in linear mixed-effects (LME) models, with the standard deviation of random effects reformulated as coefficients. …”
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  16. 296

    Existence and Global Exponential Stability of Equilibrium for an Epidemic Model with Piecewise Constant Argument of Generalized Type by Kuo-Shou Chiu, Fernando Córdova-Lepe

    Published 2025-07-01
    “…On top of that, an auxiliary result is established, outlining the relationship between the unknown function values in the deviation argument and the time parameter. The stability analysis is conducted using the Lyapunov–Razumikhin method, adapted for differential equations with a piecewise constant argument of the generalized type. …”
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  17. 297

    Estimating the Prevalence of Self-Medication Practices among a Representative Population of Medical Students by Saurabh RamBihariLal Shrivastava, Sujit Prabhakar, Shital Telrandhe

    Published 2024-08-01
    “…The data collection tool will be a pilot tested semi-structured questionnaire and will be used after obtaining written informed consent. The statistical analysis will be done using SPSS version 16. Results: Results will be presented using descriptive (frequency, percentages, mean, and standard deviation) and inferential (chi-square test) statistics. …”
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  18. 298

    MITIGATING STRATEGIES OF THREATS TO QUANTITY SURVEYING PROFESSION IN THE NIGERIAN CONSTRUCTION INDUSTRY by Lekan Ojo, Bolarinwa Ibrahim, Ayodeji Oke, Akinsanmi Akindeinde

    Published 2020-12-01
    “…Mean score and Standard Deviation (SD) were used to rank the opinions of the respondents, and factor analysis was used to group the mitigating strategies into concise form for ease of discussion. …”
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    Article
  19. 299

    Spectrophotometric Determination of Gemifloxacin Mesylate in Pharmaceutical Formulations Through Ion-Pair Complex Formation by Marothu Vamsi Krishna, Dannana Gowri Sankar

    Published 2008-01-01
    “…No interference was observed from common pharmaceutical adjuvants. Results of analysis were validated statistically and through recovery studies.…”
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  20. 300

    Comparison of the effect viola odorata and evening primrose on the anxiety of menopausal women referring to health and treatment centers in Khomein city in 1402 by zeynab Beheshti, Abbas Bayat asghari, Esmat Boshagh, Ahmad Aramoon

    Published 2024-04-01
    “…Following that, the data were analyzed in SPSS version 21 software using descriptive (mean and standard deviation) and inferential (repeated analysis of variance and Bonferroni) statistical tests. …”
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    Article