Socioeconomic factors and sex effects of postpartum maternal depression on offspring internalizing symptoms: a systematic review and meta-analysis by Yang Geng, Wenlan Liu, Zhiying Yu, Hui Zhang, Yun Li, Weihua Zhao

“…Pooled standardized mean differences (SMDs) were calculated using random-effects models. ROBINS-E tool was used to rate the quality of evidence. …”
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Clinical efficacy and hemodynamic effects of levosimendan in cardiac surgery patients after surgery by Meiling Zhao, Yunfeng Hou, Meng Yuan, Shuang Ma, Yifeng Yue

“…Eighty cases each were assigned to the research and control groups using a random number table. Document the general patient data for each of the two groups; compare the clinical outcomes of the two groups. …”
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Ultrasound-based radiomics and clinical factors-based nomogram for early intracranial hypertension detection in patients with decompressive craniotomy by Zunfeng Fu, Lin Peng, Laicai Guo, Chao Qin, Yanhong Yu, Jiajun Zhang, Yan Liu

“…Radiomics features were extracted from ONS images, and feature selection methods were applied to construct predictive models using logistic regression (LR), support vector machine (SVM), random forest (RF), and K-Nearest Neighbors (KNN). …”
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Prevalence of Extended-Spectrum β-Lactamase-Producing Enterobacteriaceae in Ethiopia: A Systematic Review and Meta-Analysis by Teklehaimanot Kiros, Lema Workineh, Tegenaw Tiruneh, Tahir Eyayu, Shewaneh Damtie, Debaka Belete

“…Estimation of outcome measures at 95% confidence interval was performed using Der-Simonian-Laird’s random-effects model. Finally, results were presented via text, figures, and tables. …”
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A study on the classification of coastal wetland vegetation based on the Suaeda salsa index and its phenological characteristics by Weicheng Huang, Xianyun Fei, Weiwei Yang, Zhen Wang, Yajun Gao, Hong Yan

“…The four phenological metrics were combined with spectral and textural features to classify the vegetation using the random forest (RF) algorithm. In order to demonstrate the efficacy of the constructed vegetation indices, this study employed both the NDVI and the existing Suaeda salsa Vegetation Index (SSVI) to calculate the phenological metrics for classification purposes. …”
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The impact of COVID-19 pandemic on sleep duration and mental health among middle school students: a 3-year cross-sectional survey by Kai-yun Dou, Ru-bao Dong, Chun-long Gan

“…Changes in daily life and teaching methods, along with the high initial mortality rate of COVID-19, have had varying degrees of negative impact on the mental health (MH) of adolescents.PurposesThis study aimed to explore the impact of the COVID-19 pandemic status on the sleep duration (SD) and MH of adolescents, investigate the relationship between SD and MH in middle school students, and evaluate the protective effect of SD on MH.MethodsUsing a convenient sampling method, 6 junior high schools and 3 senior high schools in Guiyang City, China, were selected. Random samples from two classes per grade in each school were chosen for the survey. …”
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HIV-Positive Status Disclosure and Associated Factors among HIV-Positive Adult Patients Attending Art Clinics at Public Health Facilities of Butajira Town, Southern Ethiopia by Tamirat Melis Berhe, Lire Lemma, Addissu Alemayehu, Desalegn Ajema, Mustefa Glagn, Samuel Dessu

“…A total of 414 study participants were selected by systematic random sampling technique. Data were collected by using pretested interviewer-administered semistructured questionnaire. …”
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Effects of blood flow restriction training on cardiometabolic health and body composition in adults with overweight and obesity: a meta-analysis by Hao Kong, Yilin Zhang, Mingyue Yin, Kai Xu, QingGuo Sun, Yun Xie, Olivier Girard

“…Pooled effects for each outcome were summarized using Hedge’s g (g) through meta-analysis-based random effects models, and subgroup analyses were used to explore moderators.ResultsA total of 11 studies with 242 participants (Age:32.6 ± 3.6, BMI:27.2 ± 3.5) were included. …”
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Development and validation of a prognostic prediction model for elderly gastric cancer patients based on oxidative stress biochemical markers by Xing-Qi Zhang, Ze-Ning Huang, Ju Wu, Chang-Yue Zheng, Xiao-Dong Liu, Ying-Qi Huang, Qi-Yue Chen, Ping Li, Jian-Wei Xie, Chao-Hui Zheng, Jian-Xian Lin, Yan-Bing Zhou, Chang-Ming Huang

“…Predictive models for five-year overall survival (OS) were constructed using random forest (RF), decision tree (DT), and support vector machine (SVM) methods, and validated using area under the curve (AUC) and calibration plots. …”
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Contrasting spatial variations between above and below-ground net primary productivity in global grasslands by Ying Hu, Yue Yang, Yu Wei, Xiaozhen Li, Yue Jiao, Jiapei Liao, Ruiyu Fu, Lichong Dai, Zhongmin Hu

“…Among the nine machine learning methods compared, the random forest model provided the highest accuracy for productivity estimation (R2 = 0.63 ∼ 0.89). …”
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Global prevalence, treatment and outcome of tuberculosis and COVID-19 coinfection: a systematic review and meta-analysis (from November 2019 to March 2021) by Qiang Sun, Hui Li, Jie Zhao, Xiaolin Wei, Quan Wang, Shasha Guo, Quanfang Dong, Ning Xu

“…Prevalence rate, treatment and outcomes of TB–COVID coinfection were extracted. Random-effects models were used to calculate mean fatality rates of coinfection with 95% CIs. …”
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The effect of hindrance stressors on the emotional exhaustion among front-line healthcare workers in the recuperation period during the COVID-19 epidemic in China: a prospective cr... by Hua Zhang, Huan Wang, Junying Ye, Hao Wu, Xinyao Zhou, Caiping Song, Pengpeng Yin, Renzhong Shi, Yang Dan

“…Total 418 questionnaires were collected from front-line healthcare workers by random cluster sampling. Hierarchical regression was performed to analyse the mediating effect of affective rumination using SPSS25.0, while PROCESS was used to further investigate the moderating role of servant leadership and family support.Participants 418 healthcare workers were investigated randomly from front-line medical teams. …”
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Anemia in pregnancy: a systematic review and meta-analysis of prevalence, determinants, and health impacts in Egypt by Ahmed Azzam, Heba Khaled, Alrefaey K. Alrefaey, Amar Basil, Sarah Ibrahim, Mohamed S. Elsayed, Muhammad Khattab, Nashwa Nabil, Esraa Abdalwanees, Hala Waheed Abdel Halim

“…A meta-analysis was conducted using a random-effects model to estimate pooled prevalence, odds ratios (OR), and standardized mean differences (SMD). …”
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Distributed hybrid energy storage photovoltaic microgrid control based on MPPT algorithm and equilibrium control strategy by Yanlong Qi, Rui Liu, Haisheng Lin, Junchen Zhong, Zhen Chen

“…The randomness and ergodicity of Levy flight algorithm enable the hybrid algorithm to quickly adapt to the changes of light intensity and environmental conditions, and maintain the efficient operation of MPPT. …”
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Widespread use of ChatGPT and other Artificial Intelligence tools among medical students in Uganda: A cross-sectional study. by Elizabeth Ajalo, David Mukunya, Ritah Nantale, Frank Kayemba, Kennedy Pangholi, Jonathan Babuya, Suzan Langoya Akuu, Amelia Margaret Namiiro, Yakobo Baddokwaya Nsubuga, Joseph Luwaga Mpagi, Milton W Musaba, Faith Oguttu, Job Kuteesa, Aloysius Gonzaga Mubuuke, Ian Guyton Munabi, Sarah Kiguli

“…Participants were recruited by stratified random sampling. We used a semi-structured questionnaire to collect data on participants' socio-demographics and use of AI tools such as ChatGPT. …”
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Adjuvant Therapy after Esophagectomy for Esophageal Cancer: Who Needs It?: Multi-institution Worldwide Observational Study by Siva Raja, MD, PhD, Thomas W. Rice, MD, Min Lu, PhD, Marie E. Semple, MPH, Andrew J. Toth, MS, Eugene H. Blackstone, MD, Sudish C. Murthy, MD, PhD, Usman Ahmad, MD, Michael McNamara, MD, Hemant Ishwaran, PhD, for the Worldwide Esophageal Cancer Collaboration Investigators

“…From 1970 to 2014, 22,123 consecutive patients from 33 centers on 6 continents (Worldwide Esophageal Cancer Collaboration) were diagnosed with biopsy-proven adenocarcinoma (n = 7526) or squamous cell carcinoma (n = 5625), of whom 10,873 received esophagectomy alone and 2278 additional adjuvant therapy. Random forests for survival and virtual-twin analyses were performed for all-cause mortality. …”
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Jinkui Shenqi Pill Combined with Pelvic Floor Biofeedback in Treatment of Postpartum Stress Urinary Incontinence with Kidney-yang Deficiency by Xueqin MIAO, Hongri WANG, Meiyun GAO, Caifeng GUO, Jifen HU, Kunmu ZHANG

“…Objective:To explore the effect and mechanism of Jinkui Shenqi pill combined with pelvic floor biofeedback in treating of postpartum stress urinary incontinence with kidney-yang deficiency.Methods:A total of 70 full-term natural labor patients diagnosed with kidney-yang deficiency stress urinary incontinence about 42 days postpartum were selected and divided into control group and treatment group by random number table, with 35 cases in each group. …”
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Effect of Core Stability Training based on Bobath Concept on Motor Function of Children with Spastic Cerebral Palsy by Yaojin SUN, Xiaoqin ZHANG, Jian TANG, Xiaoke ZHAO, Ran HE

“…Methods: A total of 124 children with SCP were treated in the department of rehabilitation medicine of Children's Hospital of Nanjing Medical University from January 2018 to September 2019, which were divided into the control group and the observation group according to the random number table, with 62 cases in each group. …”
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Species richness is not a good predictor for above-ground biomass in a warm temperate deciduous broadleaf forest by Chunmei He, Yushan Li, Xiaoxia Dai, Na Liu, Fangfang Wu, Jiangbo Yan, Meiping Gao, Yonghui Liang, Zuoqiang Yuan, Zhanqing Hao, Qiulong Yin

“…The relative importance of these factors in influencing AGB variation was assessed using a random forest model. Structural equation model was used to determine the direct or indirect effects of each factor on AGB. …”
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Identification of major trauma using the simplified abbreviated injury scale to estimate the injury severity score: a diagnostic accuracy and validation study by David Eidenbenz, Tobias Gauss, Tobias Zingg, Vincent Darioli, Cécile Vallot, Pierre-Nicolas Carron, Pierre Bouzat, François-Xavier Ageron

“…Both datasets comprised a random sample of 100 injured patients. Following the Standards for Reporting of Diagnostic Accuracy Studies 2015 guidelines, all patients completed the rAIS and the sAIS. …”
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