Some complex probabilistic hesitant fuzzy aggregation operators and their applications to multi-attribute decision making by Yanpo Yang, Baoquan Ning, Fengjuan Tian, Guihui Lu

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Assessment of Brushing Techniques in School Children and Its Association with Dental Caries, Omdurman, 2019 by Rugaia Eltayeb Hag Maki Ibrahim, Maha O. Helaly, Ehab Mohamed Abdelhlim Ahmed

“…There was a statistical significance between the periodic change of the toothbrush and dental caries (P value ≤0.001). …”
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Population and distribution pattern of Poropuntius tawarensis in Lake Laut Tawar, Central Aceh Regency by Mufti Aulia Rahman, Abdullah Abdullah, Safrida Safrida, Muhammad Ali Sarong, Haekal Azief Haridhi

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Comparing the Efficacy of Local Corticosteroid Injection, Platelet-Rich Plasma, and Extracorporeal Shockwave Therapy in the Treatment of Pes Anserine Bursitis: A Prospective, Rando... by Wesam Gouda, Awad S. Abbas, Tarek M. Abdel-Aziz, Mohamed Z. Shoaeir, Walid Ahmed, Abdelhfeez Moshrif, Ahmed Mosallam, Mohamed Kamal

“…Similarly, a statistically significant difference was found between the PRP and ESWT groups (P=0.023). …”
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The Impact of Socioeconomic Inequalities on the Risk of Hypertension in Bangladesh: A Systematic Review and Meta‐Analysis by Kabir Hossain, Tonmoy Alam Shuvo, Asma‐Ul Hosna, Dipu Rani Dey

“…We systematically searched various electronic databases and rigorously selected 12 studies for inclusion in the analyses. The I2 statistic measured between study heterogeneity, and pooled effect estimates were obtained using the DerSimonian and Laird random effects model to address this variability. …”
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Research Dominance Definitions May Not Identify Higher Risk Limb for Anterior Cruciate Ligament Injury in NCAA D3 Student-Athletes by Paul A. Cacolice, Brianna E. Starkey, Christopher R. Carcia, Paul E. Higgins

“…Likewise, the Chi-square statistic revealed no statistical differences between observed and expected frequencies (χ2= 0.001; p= 0.97)…”
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Epstein Barr Virus Reactivation during COVID-19 Hospitalization Significantly Increased Mortality/Death in SARS-CoV-2(+)/EBV(+) than SARS-CoV-2(+)/EBV(−) Patients: A Comparative Me... by Sivananthan Manoharan, Lee Ying Ying

“…Furthermore, based on statistical analysis, D-dimer was not statistically significantly different (p>0.05) between the groups although studies have shown that D-dimer was statistically significantly different (p<0.05) between these groups. …”
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Disease prediction by network information gain on a single sample basis by Jinling Yan, Peiluan Li, Ying Li, Rong Gao, Cheng Bi, Luonan Chen

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Seroprevalence of COVID-19 among voluntary blood donors by Arumugam Pothipillai, Swathandran Hamsavardhini, Deepa Duraisamy, Lincy Thiyagarajan, Chandrasekaran Kaliyaperumal, Jyotsnaa Grace Velure Mohan Rao

“…Adding IgA to a conventional IgM and IgG serological test improves sensitivity. STATISTICAL ANALYSIS USED: The collected donor data were analyzed with IBM SPSS Statistics software. …”
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Machine Learning Algorithms Analysis of Synthetic Minority Oversampling Technique (SMOTE): Application to Credit Default Prediction by Emmanuel de-Graft Johnson Owusu-Ansah, Richard Doamekpor, Richard Kodzo Avuglah, Yaa Kyere Adwubi

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Study on Seroprevalence and Associated Risk Factors of Newcastle Disease in Smallholder Poultry Farms in Sodo Zuria District, Wolaita Zone, Southern Ethiopia by Saliman Aliye, Habtamu Endale, Mesfin Mathewos, Haben Fesseha

“…The sex of the chicken showed a statistically significant difference (x2 = 4.842; p = 0.028) with the seroprevalence of the disease. …”
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Integration of field data and application of machine learning methods to assess the condition of the near-wellbore zone of carbonate reservoirs by Andrey V. Soromotin, Dmitriy A. Martyushev

“…Thus, the authors proposed a methodology for predicting the near-wellbore zone permeability using statistical methods based on preliminary clustering of the initial data and their classification using machine learning approaches. …”
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A Novel Framework for Selecting Informative Meteorological Stations Using Monte Carlo Feature Selection (MCFS) Algorithm by Rizwan Niaz, Ibrahim M. Almanjahie, Zulfiqar Ali, Muhammad Faisal, Ijaz Hussain

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Monitoring and Evaluation and the Quality of Health-Care Service Delivery in Uganda: A Case of Ntungamo District Local Government. by Nahabwe, Judith

“…Social accountability type of monitoring and evaluation indicated a statistically significant positive relationship with the quality of healthcare service delivery reflected by r=0.345**. …”
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Improved bootstrap X¯ control chart for non-normally distributed data by Sukma Adi Perdana, Muhammad Mashuri, Muhammad Ahsan

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A Bivariate Chebyshev Spectral Collocation Quasilinearization Method for Nonlinear Evolution Parabolic Equations by S. S. Motsa, V. M. Magagula, P. Sibanda

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Effect of seasonal changing temperature on the growth of phytoplankton by Ming Chen, Meng Fan, Xing Yuan, Huaiping Zhu

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Training data diversity enhances the basecalling of novel RNA modification-induced nanopore sequencing readouts by Ziyuan Wang, Ziyang Liu, Yinshan Fang, Hao Helen Zhang, Xiaoxiao Sun, Ning Hao, Jianwen Que, Hongxu Ding

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Comparative analysis of components of university adjustment of medical students studying on different financial basis by Yu. N. Timofeeva

“…The online testing method with the subsequent statistical analysis of the obtained data has been applied. …”
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Improving the Accuracy of Rainfall Prediction Using Bias-Corrected NMME Outputs: A Case Study of Surabaya City, Indonesia by Defi Y. Faidah, Heri Kuswanto, Sutikno Sutikno

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