CitySEIRCast: an agent-based city digital twin for pandemic analysis and simulation by Shakir Bilal, Wajdi Zaatour, Yilian Alonso Otano, Arindam Saha, Ken Newcomb, Soo Kim, Jun Kim, Raveena Ginjala, Derek Groen, Edwin Michael

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A meta-analysis of the effect of protein synthesis inhibitors on rodent fear conditioning by Carneiro, Clarissa F. D., Amorim, Felippe E., Amaral, Olavo B.

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The factor structure of the International Trauma Questionnaire – Heywood cases in confirmatory factor analysis by Karen-Inge Karstoft, Erik Vindbjerg, Anni B. S. Nielsen, Søren Bo Andersen, Sofie Folke

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Psychometric Properties and Confirmatory Factor Analysis of the Dark Tetrad Personality Questionnaire in Students by moslem ghobadiyan, mohammadjavad bagiyan, Tahereh Mahmoudiyan Dastnaee

“…Exploratory and confirmatory factor analysis were used to analyze the data using SPSS-26 and AMOS-21 software. …”
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Evaluation and Comparison of Accuracy of Complete Arch Digital and Conventional Implant Impression as Influenced by the Use of a 3D Printed Modular Splint –An In-Vitro Study by Bhushan S. Pol, Ajay V. Sabane, Rajashree D. Jadhav, Pankaj P. Kadam, Arti R. Gachake, Bhagyashree G. Kalsekar

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An Assessment of The Effect of The Average Speed Enforcement Systems on Lithuanian Roads by Laura Gavėnienė, Donatas Čygas, Laura Jateikienė Jateikienė, Viktoras Vorobjovas, Vilma Jasiūnienė, Atis Zarinš

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Retrospective single-center analysis of surgical treatment of patients with primary mitral insufficiency by О.A. Myshakivskyy, V.H. Аverchuk, А.V. Ratych, I.S. Protsyk, I.P. Chornenkyy, D.V. Аverchuk, T.B. Rudyk, Yu.A. Ivaniv, L.V. Povalyashko, D.S. Tymchuk, V.I. Pavliuk, L.Ya. Solovey, I.I. Кobza

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The Effect of Resistance Strength Training on Muscle Cross Education: A Meta analysis by Yuan Hao Dong, Jiong Luo

“…Aim of the study: Using meta-analysis method to systematically evaluate the effects of cross training (also known as cross education) on upper and lower limb muscle strength in different age groups and compare the training results. …”
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Comprehensive analysis of clinicopathologic and prognostic features in locally advanced thyroid papillary cancer by Liang Jiwang, Ye Dongman, Fang Fengqin, Zhao Yuejiao

“…C-index, receiver operating characteristic curve and calibration curve were used to validate the accuracy. A Decision Analysis Curve (DCA) was used to evaluate the clinical value. …”
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Selection of Superior Sugar Beet Genotypes using the Analysis of Quantitative and Qualitative Traits by Mahdi Hassani, Ali Saremirad, Hamed Mansouri

“…The genotypes were cultivated in eight-meter rows spaced 50 cm apart within five incomplete blocks. Following data collection, variance analysis was carried out using R software. …”
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Comparative analysis of regression algorithms for drug response prediction using GDSC dataset by Soojung Ha, Juho Park, Kyuri Jo

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Hydrocortisone for Preventing Adverse Drug Reactions to Snake Antivenom: A Meta-Analysis by Jihua Feng, Zimeng Wu, Qiao Yu, Hongyuan Li, Pan Ji, Yanli Yang, Xiaoliang Zeng, Xiaowen Zheng, Chunling Zhao, Jianfeng Zhang

“…Our primary end point was the risk of ADRs, which was reported as the number of patients who developed ADRs divided by the total number of snakebite patients administered with antivenom separately for the prehydrocortisone and control groups for each study. We evaluated pooled data using of a random-effects model. …”
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The PJSC “Novatek” activity efficiency reserves identification based on the economic and accounting analysis by D. V. Lysenko, L. Akgün

“…The investment attractiveness of competitors’ companies is evaluated. The research methodology included: complex, empirical, retrospective types of analysis (since the calculations of the companies’ financial conditions indicators are based on their consolidated financial statements data as of December 31, 2015); comparative, horizontal and vertical types of analysis; grouping method is categorization. …”
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Comparative Analysis of Diabetes Prediction Models Using the Pima Indian Diabetes Database by Zhao Yize

“…The research begins by introducing the significance of accurate diabetes prediction and the methodologies used in the analysis. The K-means model operates by grouping data points into separate clusters according to their characteristics, achieving an accuracy of 90.04% in diabetes prediction. …”
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Problem-Based Learning in Pharmaceutical Education: A Systematic Review and Meta-Analysis by Tais F. Galvao, Marcus T. Silva, Celiane S. Neiva, Laura M. Ribeiro, Mauricio G. Pereira

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Early Prediction of Abdominal Aortic Aneurysm Rupture Risk Using Numerical Biomechanical Analysis by Kristina Grassl, Thomas C. Gasser, Florian K. Enzmann, Alexandra Gratl, Josef Klocker, David Wippel, David C. Walcher, Elke R. Gizewski, Sabine H. Wipper

“…<b>Objective</b>: We aimed to predict patient-specific rupture risks and growth behaviors in abdominal aortic aneurysm (AAA) patients using biomechanical evaluation with finite element analysis to establish an additional AAA repair threshold besides diameter and sex. …”
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Outcomes of different surgical procedures for optic disc pit: a meta-analysis by Hussain A. Khaqan, Raheela Naz, Hafiz A. ur Rehman, Laraib Hassan, Nabeel Akram, Hafiz M. Farooqui, Ahmad Fauzan, Asad M. Khan

“…After removing duplicates and screening titles and abstracts, the eligibility of 86 full-text articles was evaluated. There were 50 studies included in the meta-analysis. …”
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Risk factors for postoperative ileus in hysterectomy: A systematic review and meta-analysis. by Zhuoer Hou, Ting Liu, Xiaoyan Li, Hangpeng Lv, Qiuhua Sun

“…Two researchers screened literatures and extracted data, and used Newcastle-Ottawa scale and Joanna Briggs Institute critical appraisal checklist for analytical cross-sectional studies to evaluate their quality. …”
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Systematic review and quantitative meta-analysis of age-dependent human T-lymphocyte homeostasis by Victoria Kulesh, Victoria Kulesh, Kirill Peskov, Kirill Peskov, Kirill Peskov, Gabriel Helmlinger, Gennady Bocharov, Gennady Bocharov, Gennady Bocharov

“…Conversely, memory T-lymphocytes display a tendency to increase in older age groups, particularly after ~50 years of age. Notably, an increase in T-lymphocyte numbers is observed in neonates and infants (0 – 1 year of age) towards less differentiated T-lymphocyte subpopulations, while an increase into more differentiated subpopulations emerges later (1 – 5 years of age).ConclusionA comprehensive systematic review and meta-analysis of T-lymphocyte age-dependent homeostasis in healthy humans was performed, to evaluate immune T-cell profiles as a function of age and to characterize generalized estimates of T-lymphocyte counts across age groups. …”
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Sleep patterns and cardiovascular disease risk in US participants: a comprehensive analysis by Yue Wu, Zhizheng Li, Peng Zhao, Jiajing Xu, Min Yuan

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