Relationship between the latent profiles of health information-seeking behaviour and glycated haemoglobin levels in patients with type 2 diabetes: a cross-sectional survey in rural... by Xin Zhang, Lin Zeng, Yan-Ping Zhang, Jing-Feng Chen, Chao-Qun Bai, Xiao-Xue Lei, Gui-Fen Fu

“…Objective The purpose of this study was to analyse the heterogeneity of health information-seeking behaviour (HISB) among patients with type 2 diabetes (T2D) in rural areas based on latent profiles and to explore the relationship between various behaviours and glycaemic control rates and the factors influencing glycaemic control rates.Methods Between January and July 2022, a stratified cluster random sampling method was used to sample T2D patients in the rural Guangxi Zhuang Autonomous Region. …”
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Effect of phosphorus fractions on benthic chlorophyll-a: Insight from the machine learning models by Yuting Wang, Sangar Khan, Zongwei Lin, Xinxin Qi, Kamel M. Eltohamy, Collins Oduro, Chao Gao, Paul J. Milham, Naicheng Wu

“…To address this gap, we applied two machine learning algorithms—random forest (RF), and artificial neural networks (ANN) to predict benthic chl-a concentrations by incorporating these specific P fractions as separate variables. …”
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Unveiling new therapeutic horizons in rheumatoid arthritis: an In-depth exploration of circular RNAs derived from plasma exosomes by Guoqing Li, Hongyi Chen, Jiacheng Shen, Yimin Ding, Jingqiong Chen, Yongbin Zhang, Mingrui Tang, Nan Xu, Yuxuan Fang

“…A diagnostic xgboost model was developed using common hub genes identified by random forest and least absolute shrinkage and selection operator (LASSO), with intersection genes derived from overlapping machine learning-selected genes. …”
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Advanced Machine Learning to Predict Coronary Artery Disease Severity in Patients with Premature Myocardial Infarction by Yu-Hang Wang, Chang-Ping Li, Jing-Xian Wang, Zhuang Cui, Yu Zhou, An-Ran Jing, Miao-Miao Liang, Yin Liu, Jing Gao

“…These groups were further randomly assigned to a training or test set in a ratio of 7:3. …”
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The experience of bodily image for patients with left ventricular assist device by Irena Milaniak, Emilia Witkowska, Marta Cebula, Paulina Tomsia, Grzegorz Wasilewski, Izabela Górkiewicz-Kot, Sylwia Wiśniowska-Śmiałek, Michał Kaleta, Karol Wierzbicki, Karol Wierzbicki

“…The mean scores were: Body Image Scale – 28.33 (SD=5,91); Acceptance of Illness Scale – 25.51 (SD=5.92); beliefs about pain control: internal factors – 15.85 (SD=4.96), the influence of physicians – 17.57 (SD=3.15), random events – 14.37(SD=3.32), NRS=2.80(SD=1.86), HADS anxiety – 5.33 (SD=4.12), HADS depression – 4.66 (SD=3.10), SF12MCS-45.49 (SD=6.48), SF-12PCS-41,33 (SD=6.48). …”
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Prevalence of Hepatitis C Virus Infection in a Surgical Population of Southeast China: A Large-Scale Multicenter Study by Ping Chen, Yang Zheng, Yubo Cai, Pengfei Zou, Nan Li, Conggao Peng, Hainv Gao, Jimin Liu, Yongping Chen, Zhaowei Tong, Lanjuan Li

“…Data were stratified using the multistage cluster random sampling method and further analyzed using the SPSS-20 package. …”
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Association between non-high-density lipoprotein cholesterol and type 2 diabetes: a systematic review and meta-analysis of cohort studies by Mengqi Han, Yue Shen, Xin Guo, Cheng Hong, Xincan Ji, Haoyang Guo, Yuelong Jin, Hui Yuan

“…The PubMed, EMBASE, Medline, Web of Science, and Cochrane Library databases were systematically searched to find articles on “non-HDL” and “T2D” from inception to December 6, 2023. A random-effects model was used to calculate the effect estimates and 95% confidence intervals. …”
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Effect of Prior Bariatric Surgery on the Outcomes of Joint Arthroplasty: A Systematic Review and Meta-Analysis by Zhou Zhang, Xiang Shi, Wei Liu, Jianwei Wang, Qingfeng Shen, Guozhu Xu, Jiakuan Bao, Yupeng Dong

“…We used the data to conduct meta-analyses using random-effects models and subgroup analyses based on the type of arthroplasty.Results Overall, 15 studies with nearly 150,000 participants were included. …”
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Visible, near-infrared, and shortwave-infrared spectra as an input variable for digital mapping of soil organic carbon by Vahid Khosravi, Asa Gholizadeh, Radka Kodešová, Prince Chapman Agyeman, Mohammadmehdi Saberioon, Luboš Borůvka

“…Accordingly, two SOC modeling approaches were used in three agricultural sites in Czech Republic: i) machine learning (ML) including partial least squares regression (PLSR), cubist, random forest (RF), and support vector regression (SVR), and ii) regression kriging (RK) by the combination of ordinary kriging (OK) and PLSR (PLSR-K), cubist (cubist-K), RF (RF-K), and SVR (SVR-K). …”
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Dietary practice and associated factors among lactating mothers in Dangila District in the Awi Zone Amhara region Ethiopia, 2022: a cross-sectional study by Sileshi Mulatu, Getasew Mulatu, Azeb Gedif

“…The study participants were selected using a straightforward simple random sampling techniques. Data was collected by using structured questionnaires. …”
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A novel method for detecting intracranial pressure changes by monitoring cerebral perfusion via electrical impedance tomography by Ming-xu Zhu, Jun-yao Li, Zhan-xiu Cai, Yu Wang, Wei-ce Wang, Yi-tong Guo, Guo-bin Gao, Qing-dong Guo, Xue-tao Shi, Wei-chen Li

“…Under both circumstances, ROC curve analysis showed that the comprehensive model of perfusion parameters based on the random forest algorithm had a sensitivity and specificity of more than 90% and an area under the curve (AUC) of more than 0.9 for detecting ICP increments of both 5 and 10 mmHg. …”
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Modification of hempseed protein isolate using a novel two-stage method applying high-pressure homogenization coupled with high-intensity ultrasound by Ruyu Zhang, Wangang Zhang, Xuan Dong, Meng Wai Woo, Siew Young Quek

“…This treatment significantly decreased the HPI’s particle size, β-sheet and total sulfhydryl contents while maximizing the random coil level, intrinsic fluorescence intensity and surface hydrophobicity compared to the single HPH or HIU2min treatments. …”
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Attitudes of nurses toward telenursing and influencing factors in resource-limited settings: Northwest Ethiopia 2022 by Fikadu Wake Butta, Biniyam Chaklu Tilahun, Berhanu Fikadie Endehabtu, Adamu Ambachew Shibabaw, Alex Ayenew Chereka, Ayenew Sisay Gebeyew, Mekides Molla Reda, Gemeda Wakgari Kitil, Teshome Demis Nimani

“…This study aims to understand how nurses feel about telenursing care and the factors related to it at a specialized teaching referral hospital in northwest Ethiopia.MethodWe conducted a cross-sectional study at a specialized teaching referral hospital, employing a simple random sampling technique to gather information from 423 nurses. …”
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Assessment of vegetation in Murchison falls national park five years after the completion of oil and gas exploration by Hindrah Akisiimire, William Tinzaara, Keneth Tumwebaze, Charles K.Twesigye

“…We counted all observed plant species following a systematic random sampling technique using a (1mx1m) quadrat for herbs, (5mx5m) quadrat for shrubs, and (10mx10m) quadrat for trees. …”
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Shorter versus longer durations of antibiotic treatment for patients with community-acquired pneumonia: a protocol for a systematic review and meta-analysis by Gordon Guyatt, Arnav Agarwal, Mark Loeb, John Basmaji, Ya Gao, Maryam Ghadimi, Layla Bakaa, Luis Enrique Colunga Lozano, Saad Asif, Aninditee Das

“…Paired reviewers working independently will conduct title and abstract screening, full-text screening, data extraction and risk of bias (RoB) evaluation using a modified Cochrane RoB 2.0 tool. We will perform random-effects modelling for meta-analyses, with study weights generated using the inverse variance method, and will assess certainty in effect estimates using Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology. …”
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A Data-Driven Approach to Engineering Instruction: Exploring Learning Styles, Study Habits, and Machine Learning by Lauren Genith Isaza Dominguez, Antonio Robles-Gomez, Rafael Pastor-Vargas

“…Several machine learning models, including Random Forest and Voting Ensemble, were tested to predict academic performance using study behavior data. …”
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Mapping Susceptibility and Risk of Land Subsidence by Integrating InSAR and Hybrid Machine Learning Models: A Case Study in Xi'an, China by Chen Chen, Mimi Peng, Mahdi Motagh, Xinxin Guo, Mengdao Xing, Yinghui Quan

“…In this study, four machine learning models are compared to determine the optimal model, and found that the Random Forest (RF) performs the best in predicting InSAR-derived spatial deformation (Root Mean Square Error = 3.53 mm) and susceptibility (Area Under the Curve = 0.97). …”
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Clinical efficacy and safety of proton radiotherapy for ocular conjunctival malignancies: a systematic review and meta-analysis by Tingwei Zheng, Tingwei Zheng, Dandan Wang, Yuxin Miao, Yuxin Miao, Meng Dong, Qin Liu, Qin Liu, Qiuning Zhang, Huiling Bai, Huiling Bai, Hongtao Luo, Meixuan Li

“…Meta-analysis with a random-effects model showed that PBT is effective and relatively safe, with 2-, 4-, and 5-year overall survival (OS) rates of 98% (95% CI 95–102%), 87% (95% CI 69–104%), and 78% (95% CI 70–87%) respectively. …”
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Effect of public relations activities conducted in professional football clubs on fan satisfaction by Hakan Salim Caglayan, Celalettin Bayar

“…The research sample was composed of a total of 699 fans (nmale=535 and nfemale=164) including 200 Fenerbahçe fans (nmale=179 and nfemale=21), 100 Beşiktaş Fans (nmale=2 and nfemale=98), 201 Galatasaray Fans (nmale=178 and nfemale=23) and 198 Gençlerbirliği Fans (nmale=176 and nfemale=22), who were selected with random sampling method from football teams played in Super Toto Super League at Turkey Football Federation 2011-2012 Football Season. …”
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The analysis of factors influencing patient choice of healthcare providers between tertiary hospitals and community clinics by Silin Wu, Silin Wu, Zhaoxia Lei, Tinglian Liu, Lan Chen, Yang Qin

“…Understanding the factors influencing healthcare-seeking behaviors is crucial for improving policies and promoting system efficiency.ObjectiveTo analyse the factors influencing patient choices between a tertiary hospital and a community health service center in Chengdu and provide recommendations for advancing the tiered healthcare system.MethodsA random sampling method was used in August 2023 to survey patients at a tertiary hospital (Group A) and a community health service center (Group B). …”
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