The incidence of incomplete abortion and the prevalence of abortion-related morbidity in South African public hospitals, 2018 by D N Conco, J Levin, B Komane, K Blanchard, T Bessenaar, N G Nkosi, S Fonn

“…We selected a stratified random sample of public hospitals. We extracted data from medical records of women who presented with ICA during a predetermined 21-day period in 2018. …”
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The association between metabolomic profiles of lifestyle and the latent phase of incident chronic kidney disease in the UK Population by Tingting Jin, Yunqi Wu, Siyi Zhang, Ya Peng, Yao Lin, Saijun Zhou, Hongyan Liu, Pei Yu

“…A total of 249 biological metabolites covering multiple categories were determined by the NMR Metabolomics Platform. Random forest algorithms and LASSO regression were employed to identify lifestyle-related metabolites. …”
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Meta Analysis of Efficacy and Safety of Moxibustion on Neurogenic Bladder after Spinal Cord Injury by Xueqi HAN, Huirong HUANG, Zhongbiao XIU, Jingling WU, Qinyu LIU, Shaofang MIAO, Xiaona YAN

“…The patients with NB after SCI were included in the randomized controlled trial (RCT) who were treated with moxibustion at home and abroad. …”
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Development of a clinical-radiological nomogram for predicting severe postoperative peritumoral brain edema following intracranial meningioma resection by Chen Bo, Geng Ao, Lu Siyuan, Lu Siyuan, Wu Ting, Wang Dianjun, Zhao Nan, Shan Xiuhong, Deng Yan, Sun Eryi

“…Based on these analyses, we developed five predictive models using R software: conventional logistic regression, XGBoost, random forest, support vector machine (SVM), and k-nearest neighbors (KNN). …”
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Cardiovascular outcomes in long COVID-19: a systematic review and meta-analysis by Ting Zhang, Zhimao Li, Qimin Mei, Joseph Harold Walline, Zhaocai Zhang, Yecheng Liu, Huadong Zhu, Bin Du

“…The risk of bias was identified using the Newcastle-Ottawa Scale (NOS) for observational studies. Random-effects meta-analyses examined the pooled risk difference in the prevalence of each symptom or symptom combination in cases with confirmed SARS-coV-2 infection compared with controls.ResultsEight cohort studies were eligible, including nearly 10 million people. …”
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Comparative analysis of the human microbiome from four different regions of China and machine learning-based geographical inference by Yinlei Lei, Min Li, Han Zhang, Yu Deng, Xinyu Dong, Pengyu Chen, Ye Li, Suhua Zhang, Chengtao Li, Shouyu Wang, Ruiyang Tao

“…Individuals from the four regions could be distinguished and predicted based on a model constructed using the random forest algorithm, with the predictive effect of palmar microbiota being better than that of oral and nasal cavities. …”
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Combination of clinical factors predicts successful glucocorticoid withdrawal in systemic lupus erythematosus (SLE): results from a multicentre, retrospective cohort study by Alessandra Bortoluzzi, Marcello Govoni, Dimitrios T Boumpas, Antonis Fanouriakis, Prodromos Sidiropoulos, George Bertsias, Konstantinos Parperis, Argyro Repa, Ettore Silvagni, Myrto Nikoloudaki, Nestor Avgoustidis, Sofia Pitsigavdaki, Antonio Marangoni, Irini Flouri, Spyridon Katechis

“…Prednisone tapering from 7.5 mg/day to 0 over >6 months improved severe flare-free outcome (HR: 0.57; 0.37 to 0.90). Random survival forests identified DORIS/LLDAS, hydroxychloroquine use and slow GC tapering as top predictors, whose coexistence reduced overall and severe flares by ~25 fold and ~50 fold, respectively. …”
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Survival after Locoregional Treatments for Hepatocellular Carcinoma: A Cohort Study in Real-World Patients by Simona Signoriello, Annalisa Annunziata, Nicola Lama, Giuseppe Signoriello, Paolo Chiodini, Ilario De Sio, Bruno Daniele, Giovanni G. Di Costanzo, Fulvio Calise, Graziano Olivieri, Vincenzo Castaldo, Rosario Lanzetta, Guido Piai, Giampiero Marone, Mario Visconti, Mario Fusco, Massimo Di Maio, Francesco Perrone, Ciro Gallo, Giovanni B. Gaeta

“…Adequately powered randomized clinical trials are still needed to definitely assess relative effectiveness of locoregional HCC treatment.…”
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Efficacy of TIPS plus extrahepatic collateral embolisation in real-world data: a validation study by Chao Chen, Feng Zhang, Hao Wu, Wei Wu, Hui Xue, Yuzheng Zhuge, Chunqing Zhang, Guangchuan Wang, Zhengjie Li, Qiong Wu, Bo Wei, Jun Tie, Xiubin Sun, Lianhui Zhao, Yifu Xia, Jiao Xu, Peijie Li

“…However, there were no differences in overall or subgroup survival analysis. Additionally, the random forest models showed higher accuracy and AUROC comparing to other models. …”
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Solid‐Solution Limits and Thorough Characterization of Bulk β‐(AlxGa1‐x)2O Single Crystals Grown by the Czochralski Method by Zbigniew Galazka, Andreas Fiedler, Andreas Popp, Palvan Seyidov, Saud Bin Anooz, Roberts Blukis, Jana Rehm, Kornelius Tetzner, Mike Pietsch, Andrea Dittmar, Steffen Ganschow, Arub Akhtar, Thilo Remmele, Martin Albrecht, Tobias Schulz, Ta‐Shun Chou, Albert Kwasniewski, Manuela Suendermann, Thomas Schroeder, Matthias Bickermann

“…Transmission Electron Microscopy (TEM) analysis reveals random distribution of Al across both octahedral and tetrahedral sites. …”
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Investigating the Role of Artificial Intelligence Enablers and Companies' Readiness in Adopting an Artificial Intelligence-integrated Customer Relationship Management System by Soheila Mohammadzadeh Vanestan, Rahim Abedi

“…The selection was made using simple random sampling, and the investigation was conducted by administering a standard questionnaire. …”
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Hepatocellular carcinoma risk scores for non-viral liver disease: A systematic review and meta-analysis by Laura Burke, Alexander Hinkson, Vincent Haghnejad, Rebecca Jones, Richard Parker, Ian A. Rowe

“…Measures of model performance (discrimination and calibration) to assess the risk of HCC at specified time points were identified. A random effects meta-analysis was performed on a subset of studies that reported performance of the same model. …”
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Incidence, Risk Factors, and Outcomes of Perioperative Atrial Fibrillation following Noncardiothoracic Surgery: A Systematic Review and Meta-Regression Analysis of Observational St... by Yamini Subramani, Omar El Tohamy, Daniil Jalali, Mahesh Nagappa, Homer Yang, Ashraf Fayad

“…We reported data on demographics, comorbidities, and perioperative complications as mean difference (MD) or odds ratios (OR) and corresponding 95% confidence interval (CI) using random effects models. A two-sided P value of less than 0.05 was considered significant. …”
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Monitoring of agricultural progress in rice-wheat rotation area based on UAV RGB images by Jianliang Wang, Jianliang Wang, Chen Chen, Senpeng Huang, Senpeng Huang, Hui Wang, Yuanyuan Zhao, Yuanyuan Zhao, Jiacheng Wang, Jiacheng Wang, Zhaosheng Yao, Zhaosheng Yao, Chengming Sun, Chengming Sun, Tao Liu, Tao Liu

“…The results showed that the classification accuracies obtained by combining Color+Texture, Color+L08CON, Color+ResNet50, and Color+Texture+L08CON with the random forest model were 0.91, 0.99, 0.98, and 0.99, respectively. …”
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Global comparison of the economic costs of coronary heart disease: a systematic review and meta-analysis by Lan Gao, Susan Brumby, Crystal Man Ying Lee, George Mnatzaganian, Suzanne Robinson, Helen Brown, Rachel Huxley, Anna Peeters, Dan Xu, James Boyd, Sean Randall, Adrienne O’Neil, Sangita Shakya, Sarah Gauci, Anita Shrestha, James Lucas

“…Costs were converted to percentage of gross domestic product (GDP) per capita of corresponding country. A random-effects model was used for meta-analysis using StataSE V.18 to calculate the pooled percentage. …”
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Effects of L-carnitine supplementation in uremic patients receiving hemodialysis (尿毒症血液透析患者应用左卡尼汀临床效果观察) by YOU Huiqin (尤惠琴)

“…Methods Totally100 uremic patients undergoing hemodialysis were randomly divided into the control group and observation group according to the random number table, with 50 cases in each group. …”
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Acute phase responses in clinically healthy multiparous Holsteins with and without calcium dysregulation during the early postpartum period by J.A. Seminara, C.R. Seely, J.A.A. McArt

“…Patterns of protein concentrations in blood over time were compared using linear mixed effects models including fixed effects of calcium status group, time, parity group, farm, relevant 2-way interactions, and the random effect of cow. Overall, dynamics of acute phase proteins showed that dyscalcemic cows experienced increased acute phase responses compared with eucalcemic cows, and that these responses preceded dyscalcemia diagnosis at 4 DIM. …”
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Genome-wide identification of novel flagellar motility genes in Pseudomonas syringae pv. tomato DC3000 by Zichu Yang, Tyler Helmann, Maël Baudin, Maël Baudin, Maël Baudin, Karl J. Schreiber, Karl J. Schreiber, Zhongmeng Bao, Paul Stodghill, Paul Stodghill, Adam Deutschbauer, Adam Deutschbauer, Jennifer D. Lewis, Jennifer D. Lewis, Bryan Swingle, Bryan Swingle

“…In this study, we used a competitive selection to enrich for mutants with altered swimming motility and used random barcode transposon-site sequencing (RB-TnSeq) to identify genes with significant roles in swimming motility. …”
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Perancangan User Experiance Website Travel Mabruro Menggunakan Pendekatan Human-Centered Design by Safira Nur Rahmah, Hanifah Muslimah Az- Zahra, Yusi Tyroni Mursityo

“…The evaluation results to 43 random respondent obtained a positive value on each UEQ scale, 1.698 for the attractiveness scale value, 1.547 for perspicuity scale, 1.552 for efficiency scale, 1.692 for dependability scale, 1.721 for stimulation scale, and 1.921 for novelty scale. …”
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Comparative Analysis of Tillage Indices and Machine Learning Algorithms for Maize Residue Cover Prediction by Jian Li, Kewen Shao, Jia Du, Kaishan Song, Weilin Yu, Zhengwei Liang, Weijian Zhang, Jie Qin, Kaizeng Zhuo, Cangming Zhang, Yu Han, Yiwei Zhang, Bingrun Sui

“…MRC estimation models were built using six machine learning algorithms, including back propagation neural network (BPNN), random forest (RF), support vector regression (SVR), extreme gradient boosting (XGBoost), Stacking1, and Stacking2. …”
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