How Do the Crises of Falling Oil Prices and COVID-19 Affect Economic Sectors in the Rentier Economies? Evidence from the GCC Countries by Erhan Akkaş, Hazem Al Samman

“…The research utilised 18 random effect models in each phase to capture the impact of the oil price crisis and COVID-19 outbreak on each economic sector in each of the GCC countries. …”
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Kohlberg\'s Moral Reasoning Levels in Nursing Students and Its Relationship with Professional Identity by Maryam Sepahi, Seyyed Abolfazl Vagharseyyedin, Hadi Ahmadi Chenari, Hakimeh Sabeghi

“…Method: In this correlation study, 231 undergraduate nursing students of nursing faculties affiliated with Birjand University of Medical Sciences were selected by stratified random sampling based on ratio. Data were collected using a Demographic profile form, Hao et al.'…”
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Efficacy of Abiraterone and Enzalutamide in Pre- and Postdocetaxel Castration-Resistant Prostate Cancer: A Trial-Level Meta-Analysis by Mike Fang, Mary Nakazawa, Emmanuel S. Antonarakis, Chun Li

“…A mixed method approach was applied to 19 unique studies containing 17 median overall survival (OS) estimates and 13 median radiographic progression-free survival (PFS) estimates. We employed a random-effects meta-analysis to compare efficacies of abiraterone and enzalutamide with respect to OS and PFS. …”
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Postoperative Complications of Patellar Resurfacing In Total Knee Replacement by Ubair Ullah Shaheen, Sarmad Nasir Janjua, Shaheen Iqbal, Hafiz Muhammad Noman, Qasim Mahmood Ghouri, Muhammad Noman Khalid

“…This study is done To review post-operative complications among patients, after being treated with patellar resurfacing in total knee repair Method: Prospective continuous study at Orthopaedic Surgery PAEC General Hospital, Islamabad for 6 months Selected sample size is n=58 by simple random sampling( non-probability) Inclusion criteria: Patients under the age group of 18-70 years old of both genders undergone TKR followed by patellar resurfacing, arthritis undergone TKR followed by patellar resurfacing & patellar resurfacing after trauma. …”
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Enhancing the mechanical properties’ performances coconut fiber and CDW composite in paver block: multiple AI techniques with a Performance analysis by G. Uday Kiran, G. Nakkeeran, Dipankar Roy, Sumant Nivarutti Shinde, George Uwadiegwu Alaneme

“…In this study, Response Surface Methodology (RSM), Support Vector Machine (SVM), Gradient Boosting (GB), Artificial Neural Networks (ANN), and Random Forest (RF) machine learning method for optimization and predicting the mechanical properties of natural fiber addition incorporated with construction and demolition waste (CDW) as replacement of Fine Aggregate in Paver blocks. …”
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Prevalence and Associated Factors of Malaria Infection among Outpatients Visiting Shewa Robit Health Center, Northcentral Ethiopia by Azene Tesfaye, Tadegew Teshome

“…A cross-sectional study was conducted among 422 participants who visited Shewa Robit Health Center between 01/10/2017 and 30/04/2018, using a simple random sampling. Sociodemographic characteristics were recorded using a pre-tested semi-structured questionnaire and infection was confirmed by microscopic examination. …”
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Examining Primary School Principals’ Instructional Leadership Practices: A Case Study on Curriculum Reform and Implementation by Moeketsi David Ralebese, Loyiso Jita, Olalekan Taofeek Badmus

“…They engage in reflective practices such as meetings and retreats to reinforce the school’s vision among teachers, manage instructional programs through routine and random checks, motivate teachers with positive feedback, and promote a positive climate by supporting social cohesion and addressing teachers’ personal needs. …”
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Seaweed and its antioxidant content at Batu Layar beach, Senggigi, West Lombok Regency by Nunik Cokrowati, Fisma Apriliyanti, Nuryatin Nuryatin, Jayusri Jayusri, Muhammad Junaidi, Yuliana Asri

“…The research methods used in this study were survey methods and method explanation of antioxidant content and chlorophyll was carried out in the laboratory, by taking random samples based on the boundaries of the predetermined area as many as 4 stations. …”
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Virtual Node-Driven Cloud–Edge Collaborative Resource Scheduling for Surveillance with Visual Sensors by Xinyang Gu, Zhansheng Duan, Guangyuan Ye, Zhenjun Chang

“…Additionally, we propose three alternative virtual node-driven scheduling algorithms, the extension of a random algorithm, a genetic algorithm, and a heuristic algorithm, respectively. …”
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Combined Effects of Aerobic Exercise and Diet on Lipids and Lipoproteins in Overweight and Obese Adults: A Meta-Analysis by George A. Kelley, Kristi S. Kelley, Susan Roberts, William Haskell

“…Twelve studies representing 859 men and women (443 intervention, 416 control) were included. Using random-effects models, statistically significant, intervention minus control reductions were found for TC (−12.8 mg/dL, 95% CI, −19.9 to −5.7), TC : HDL-C (−0.5 mg/dL, 95% CI, −0.8 to −0.1), LDL-C (−6.8 mg/dL, 95% CI, −11.8 to −1.8), and TG (−13.1 mg/dL, 95% CI, −21.2 to −5.0) but not HDL-C (−0.4 mg/dL, 95% CI, −2.3 to 1.6). …”
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A comparative analysis of Deep Neural Networks and Gradient Boosting Algorithms in long-term wind power forecasting by Ivanović Luka, Milić Saša D., Sokolović Živko, Rakić Aleksandar

“…Gradient boosting algorithms combine the advantages of a few machine learning models (decision trees, random forests, etc.) to produce a powerful prediction model. …”
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Dimensional Analysis and Validity of Uniaxial Residual Stress Distribution for Welded Box Sections by András Horváth, Dénes Kollár

“…A comprehensive parametric analysis investigates the effects of primary welding variables, such as heat source power and welding speed, alongside geometric parameters of the heat source model using random Latin hypercube sampling technique in the analyzed parameter set. …”
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Machine learning based prediction of specific heat capacity for half-Heusler compounds by Laxman Chaudhary, Keshab Chaudhary, Ambika Shahi, Kedar Nath Jaiswal, Dipendra Prasad Kalauni, Se-Hun Kim, Madhav Prasad Ghimire

“…The stacked model, which incorporates gradient boosting and random forest as baseline models, was meticulously tuned for parameter optimization. …”
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ARRANGEMENT AND IMPLEMENTATION OF REGIONAL OFFICIAL VETERINARY SURVEILLANCE IN RUSSIAN FEDERATION IN 2016 by M. A. Shibayev, I. M. Klinovitskaya, A. S. Oganesyan, A. V. Belchikhina, K. N. Gruzdev, A. K. Karaulov, N. V. Lebedev

“…Analysis of some parameters of veterinary surveillance performance including comparison of routine and random control and surveillance measures was performed. …”
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The adoption of biosecurity measures and its influencing factors in Bangladeshi layer farms by Mohammad Jahangir Alam, Ismat Ara Begum, Md. Abdullah Al Mamun, Md. Asif Iqbal, Andrew M. McKenzie

“…In light of these factors, this study was carried out to investigate the implementation of biosecurity practices on layer farms in Bangladesh. Using a stratified random sample method, a total of 315 layer farms from fourteen upazilas (sub-districts) in seven districts were surveyed using a semi-structured interview schedule. …”
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Effect of Transcutaneous Electrical Acupoint Stimulation on Red Blood Cell and Hemoglobin in College Athletes with Exercise Fatigue by Shijing YOU, Feng JI, Furong HE, Boying TONG

“…Objective:To observe the effect of transcutaneous electrical acupoint stimulation (TEAS) on the red blood cell (RBC) and Hemoglobin (Hb) in college athletes with exercise fatigue.Methods:A total of 45 male college athletes were assigned to the treatment group 1, the treatment group 2 and the control group by a random number table, and 15 athletes in each group. …”
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Evaluation of Machine Learning Models for Mapping Food Crops using Sentinel-2A Imagery in West Java, Indonesia by Ridwana Riki, Kamal Muhammad, Arjasakusuma Sanjiwana, Rabbi Muh Fiqri Abdi

“…Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) Sentinel2A imagery is utilized to employ time series data as input characteristics for the three most popular machine learning models: Support Vector Machine (SVM), Random Forest (RF), and Classification and Regression Trees (CART). …”
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Improving model performance in mapping black-soil resource with machine learning methods and multispectral features by Jianfang Hu, Yulei Tang, Jiapan Yan, Jiahong Zhang, Yuxin Zhao, Zhansheng Chen

“…Based on the revised random forest classification algorithm, model performance using different feature combination programs were evaluated to search for an efficient, high-precision method for mapping black-soil resource. …”
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Biosynthetic mesh in hernia repair: A systematic review and meta-analysis by Iyad S. Al-Bustami, Thomas Clements, Dalya Ferguson, Alamin Harmouch, Oscar A. Olavarria, Julie L. Holihan

“…Heterogeneity was assessed using I2, and a random effects model was used for meta-analysis. RESULTS: Thirty-six studies were included, all of which were observational. …”
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Eco-Friendly Approach and Potential Biodegradable Polymer Matrix for WPC Composite Materials in Outdoor Application by Alessia Quitadamo, Valerie Massardier, Marco Valente

“…., polyethylene-grafted maleic anhydride and a random copolymer of ethylene and glycidyl methacrylate. …”
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