Research on the application effect of self-transcendence nursing model in patients with gestational diabetes mellitus: a randomised controlled trial by Mengpei Xu, Ying Wu, Yaqing Zhou, Zhongmei Lv, Wei Chen, Jingjing Fan

“…Methods One hundred fourteen GDM patients undergoing prenatal examination in Hai'an People’s Hospital from January 2019 to November 2021 were selected and divided into two groups of 57 cases respectively according to the principle of random single blind. The patients in the control group should receive pregnancy health care under the routine nursing mode, while those in the observation group should receive pregnancy health care under the self-transcendence nursing mode. …”
Get full text

Meta-analyses of mouse and human prostate single-cell transcriptomes reveal widespread epithelial plasticity in tissue regression, regeneration, and cancer by Luis Aparicio, Laura Crowley, John R. Christin, Caroline J. Laplaca, Hanina Hibshoosh, Raul Rabadan, Michael M. Shen

“…Methods We have performed meta-analyses of new and previously published scRNA-seq datasets for mouse and human prostate tissues to identify and compare cell populations across datasets in a uniform manner. Using random matrix theory to denoise datasets, we have established reference cell type classifications for the normal mouse and human prostate and have used optimal transport to compare the cross-species transcriptomic similarities of epithelial cell populations. …”
Get full text

Use of extracorporeal shockwave therapy combined with standard rehabilitation following anterior cruciate ligament reconstruction: a systematic review with meta-analysis by Jaehyung Shin, Hye Chang Rhim, James Kim, Raymond Guo, Ramy Elshafey, Ki-Mo Jang

“…We searched PubMed, Embase, and Web of Science and included studies involving ESWT treatment following ACLR, which consisted of randomized controlled trials (RCTs) and cohort studies. …”
Get full text

Unravelling spatiotemporal propagation processes among meteorological, soil, and evaporative flash droughts from a three-dimensional perspective by Chen Hu, Dunxian She, Gangsheng Wang, Liping Zhang, Zhaoxia Jing, Zhihong Song, Jun Xia

“…Additionally, we utilized the random forest model to identify critical factors influencing flash drought propagation. …”
Get full text

Using machine learning to predict patients with polycystic ovary disease in Chinese women by Chen-Yu Wang, Dee Pei, Chun-Kai Wang, Jyun-Cheng Ke, Siou-Ting Lee, Ta-Wei Chu, Yao-Jen Liang

“…PCOS was identified using Rotterdam criteria. Random Forest (RF), stochastic gradient boosting (SGB), multivariate adaptive regression splines (MARS), extreme gradient boosting (XGBoost), and gradient boosting with categorical features support (CatBoost) are five Mach-L algorithms that were used. …”
Get full text

Wearable Loop Sensors for Knee Flexion Monitoring: Dynamic Measurements on Human Subjects by Ian Anderson, Christopher Cosma, Yingzhe Zhang, Vigyanshu Mishra, Asimina Kiourti

“…The untethered sensor is validated upon a cylindrical phantom that is bent manually at random speed. A calibration mechanism is developed to derive the sensor-measured angles. …”
Get full text

Respectful maternity care and associated factors among mothers who gave birth at public health institutions in Debre Tabor town, Northwest Ethiopia: a mixed-methods study by Tadesse Ayana Fentie, Abayneh Aklilu Solomon, Mihretu Molla Enyew, Meseret Mekuriaw Beyene, Ayalew Kassie Melese, Alamirew Enyew Belay, Gebrie Getu Alemu

“…Three hundred seventy participants were selected for quantitative analysis using systematic random sampling, while eight were chosen for the qualitative study through purposive sampling. …”
Get full text

The burden of headache disorders in the adult population of Morocco: estimates, and a health-care needs assessment, from a cross-sectional population-based door-to-door survey by Najib Kissani, Latifa Adarmouch, Aboubacar Sidik Sidibe, Abderrahmane Garmane, Rachid Founoun, Mohamed Chraa, Andreas Husøy, Timothy J. Steiner

“…Methods We used the standard methodology and questionnaire developed by the Global Campaign against Headache. Cluster-based random sampling generated a sample (N = 2,575) representative of the general population aged 18–65 years. …”
Get full text

Does digital, multimedia information increase recruitment and retention in a children’s wrist fracture treatment trial, and what do people think of it? A randomised controlled Stud... by Jacqueline M Martin-Kerry, Peter Knapp, Steven Higgins, Rebecca Sheridan, Juul Achten, Duncan Appelbe, Louise Spoors, Thirimon Moe-Byrne, Daniel Perry, Jenny Roche

“…Objectives To evaluate digital, multimedia information (MMI) for its effects on trial recruitment, retention, decisions about participation and acceptability by patients, compared with printed information.Design Study Within A Trial using random cluster allocation within the Forearm Fracture Recovery in Children Evaluation (FORCE) study.Setting Emergency departments in 23 UK hospitals.Participants 1409 children aged 4–16 years attending with a torus (buckle) fracture, and their parents/guardian. …”
Get full text

Machine learning and SHAP value interpretation for predicting comorbidity of cardiovascular disease and cancer with dietary antioxidants by Xiangjun Qi, Shujing Wang, Caishan Fang, Jie Jia, Lizhu Lin, Tianhui Yuan

“…Models constructed within the mlr3 framework included recursive partitioning and regression trees, random forest, kernel k-nearest neighbors, naïve bayes, and light gradient boosting machine (LightGBM). …”
Get full text

Transition to home after very preterm birth: improving outcomes of children and their families—a systematic review protocol by Beatrice Latal, Ulrike Held, Ursula Kiechl-Kohlendorfer, Sandra Siegfried, Vivienne Engel, Valentina Mauron-Papadimitriou, Lea Bührer, Laura Ebner, Lena Keller, Martina Gosteli

“…Meta-analysis will be performed with a random-effects model to account for expected large between-study heterogeneity.Ethics and dissemination No ethics approval was necessary for this study. …”
Get full text

Effect of Acupuncture Exercise Therapy On Isokinetic Muscle Strength and Exercise Ability of Patients after Anterior Cruciate Ligament Reconstruction by Wen YAN, Jiaying MURONG, Shuyi CUI, Wanwen HE, Xun ZHUANG

“…Objective:To observe the effect of acupuncture and exercise therapy on isokinetic muscle strength and exercise ability of patients after arthroscopic reconstruction of anterior cruciate ligament (ACL).Methods:A total of fifty patients with complete ACL rupture of knee joint treated in the fifth People's hospital of Foshan from January to December 2019. The patients were randomly divided into the control group and the observation group according to the method of random number table, with 25 cases in each group. …”
Get full text

Review protocol for a systematic review and meta-analysis on HIV inequities in transgender and non-binary populations by Jennifer Sherwood, Arjee Restar, Don Operario, Hannah Rogers, Ruby Lucas, Ruwenne Moodley, Jessie M. Garcia Gutiérrez, Audren J K Bambilla, Dil Singh, Emerson Dusic, Danielle Giovenco, Shufang Sun

“…Specifically, we will use the Mantel–Haenszel method with random effects to model our meta-analyses and the DerSimonian and Laird Q test for heterogeneity testing. …”
Get full text

A systematic review and meta-analysis: prevalence and clinical implications of anatomical variants of the hepatic portal vein by Juan José Valenzuela-Fuenzalida, Benjamín Rodríguez-Osorio, Cristian Salgado-Torres, Pablo Nova-Baeza, Mathias Orellana-Donoso, Alejandro Bruna-Mejías, Roberto Avila-Sepulveda, Álvaro Becerra-Farfán, Macarena Rodríguez-Luengo, Juan Sanchis-Gimeno, Guinevere Granite, Héctor Gutiérrez-Espinoza

“…Pooled prevalence was estimated using a random effects model. A total of 31 studies met the established selection criteria. …”
Get full text

Prevalence of attention deficit hyperactive disorder (ADHD) symptoms in selected government primary schools in Wakiso District, Uganda by Josephine Ssirimuzaawo, Miph Musoke, Pio Frank Kiyingi

“…Design/methodology/approach – The research paradigm adopted was pragmatism, an explanatory sequential mixed methods approach was used, with a quantitative sample of 1,067 participants (learners), 64 teachers who underwent a series of training to equip them with the necessary knowledge about ADHD filled questionnaires for the 1,067 learners, four teachers selected in each school, one teacher per class and a qualitative sample of 32 teachers and one key informant from 16 primary schools. Random and purposive sampling was used. The strengths and weaknesses of ADHD symptoms and normal behavior scale questionnaire was used for quantitative data collection, while qualitative data was gathered through interviews, observations and focus group discussion. …”
Get full text

Factors associated with occupational injuries among bricklayers and carpenters in Building Construction: insights from a mixed methods study in Osun State, Nigeria by Temitope Olumuyiwa Ojo, Adedeji Ayodeji Onayade, Nisha Naicker

“…The quantitative component entailed a comparative cross-sectional study of 421 bricklayers and 425 carpenters selected via simple random sampling. Information on socio-demographics and OI prevalence was obtained using a semi-structured questionnaire. …”
Get full text

Association of serum uric acid, morning home blood pressure and cardiovascular risk factors in a population with previous prehypertension: a cross-sectional study by Lucky Aziza Bawazier, Mochammad Sja'bani, Fredie Irijanto, Zulaela Zulaela, Agus Widiatmoko, Abdul Kholiq, Yasuhiko Tomino

“…Objective To observe the changes in blood pressure (BP) over 10 years and to investigate current BP association to serum uric acid (SUA) levels and cardiovascular risk factors in the epidemiological data of a target group of patients with prehypertension in 2007.Design Cross-sectional study.Setting Mlati Subdistrict, Sleman District, Yogyakarta Province, Indonesia.Participants A total of 733 patients from ‘Mlati Study Database’ in 2007 were selected by simple random sampling using statistical software. Subjects had both physical and laboratory examinations.Outcome measures Morning home BP and laboratory examination of urine (uric acid excretion and creatinine) and blood samples (SUA, blood urea nitrogen, creatinine, a lipid profile and fasting blood glucose levels).Results About 31.1% of 733 subjects with prehypertension became hypertensive after 10 years, 24.6% returned to normal tension and the rest of it remained in prehypertensive state. …”
Get full text

Mangrove biomass productivity and sediment carbon storage assessment at selected sites in Mauritius: the effect of tidal inundation, forest age and mineral availability by M D D Doodee, S D D V Rughooputh, S Jawaheer

“…Using 25m x 25m quadrats and a simple random sampling technique, plant height and diameter at breast height (DBH) were measured in situ with the GLOBE Observer application (The Globe Program, NASA-sponsored) and a measuring tape, respectively. …”
Get full text

Psychological factors affecting post-treatment follow-up care in breast cancer patients attending healthcare centers in western Mazandaran (2021-2022) by Zahra Fotokian, Sobhan Rahimi Esbo, Zahra Jannat Alipour, Ali Pourhabib, Fatemeh Ghaffari, Mojtaba Qanbari Qalesari, Shahrbanoo Keyhanian, Mohsen Vakili Sadeghi

“…Participants were selected using a simple random sampling method between 2021 and 2022. Data were collected through personal information questionnaires, the Zigmond Hospital Anxiety and Depression Scale, the Psychological Distress Thermometer, the Fear of Cancer Recurrence Scale, and a post-treatment breast cancer follow-up care checklist. …”
Get full text

Deep learning captures the effect of epistasis in multifactorial diseases by Vladislav Perelygin, Alexey Kamelin, Alexey Kamelin, Nikita Syzrantsev, Layal Shaheen, Layal Shaheen, Anna Kim, Nikolay Plotnikov, Anna Ilinskaya, Valery Ilinsky, Alexander Rakitko, Alexander Rakitko, Maria Poptsova

“…For machine learning methods we used multilayer perceptron (MLP), convolutional neural network (CNN) and recurrent neural network (RNN), Lasso regression, random forest and gradient boosting models. Performance of machine learning models were assessed using accuracy, AUC-ROC, AUC-PR, recall, precision, and F1 score.ResultsFirst, we tested ensemble tree methods and deep learning neural networks against LASSO linear regression model on simulated data with different types and strength of epistasis. …”
Get full text