Machine Learning-Based Alzheimer’s Disease Stage Diagnosis Utilizing Blood Gene Expression and Clinical Data: A Comparative Investigation by Manash Sarma, Subarna Chatterjee

“…DL, support vector machine (SVM), gradient boosting (GB), and random forest (RF) classifiers were used for the AD stage detection from gene expression profile data. …”
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Comparison of the efficacy of LTCBDE and LCBDE for common bile duct stones: a systematic review and meta-analysis by Bin Zheng, Yixin Lu, Erqi Li, Ziyu Bai, Kaiqian Zhang, Jian Li, Jian Li

“…RevMan 5.4 was used for meta-analysis of fixed-effects and random-effects models.ResultsA total of 21 studies met the inclusion criteria, including 3065 patients in the LTCBDE group and 2,453 patients in the LCBDE group. …”
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A cross-sectional study of parental perspectives on children about COVID-19 and classification using machine learning models by Fahmida Kousar, Arshiya Sultana, Marwan Ali Albahar, Manoj Shamkuwar, Md Belal Bin Heyat, Mohd Ammar Bin Hayat, Saba Parveen, John Irish G. Lira, John Irish G. Lira, Khaleequr Rahman, Abdullah Alammari, Eram Sayeed

“…The analysis utilised the Generalised Linear Regression Model (GLM), K-Nearest Neighbours (KNN), Support Vector Machine (SVM), Random Forest (RF), Naive Bayes (NB), and AdaBoost (AB).ResultsThe study revealed an average knowledge score of 18.02 ± 2.9, with 43.2 and 52.9% of parents demonstrating excellent and good knowledge, respectively. …”
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Evolving perspectives in dental marketing: A study of Jordanian dentists' attitudes towards advertising and practice promotion by Rami J. Anshasi, Nizar Alsubahi, Ahmad A. Alhusein, Abd Alwali Lutfi Khassawneh, Mahmaod Alrawad, Adi Alsyouf

“…A comprehensive online survey was conducted among a simple random sample of 206 Jordanian dentists, focusing on their attitudes toward various aspects of dental advertising. …”
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Digital health data security practices among health professionals in low-resource settings: cross-sectional study in Amhara Region, Ethiopia by Ayenew Sisay Gebeyew, Wondwossen Zemene, Binyam Chaklu Tilahun, Nebyu Demeke Mengestie, Berhanu Fikade Endehabtu, Zegeye Regasa Wordofa, Mitiku Kassaw Takillo, Gedefaw Belete Ashagrie, Melaku Molla Sisay

“…The sample size was determined via single population proportion formula. A simple random sampling technique was used for the study participants. …”
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Effect of Conductive Education Combined with Exercise Therapy on Rehabilitation Function of Children with Cerebral Palsy by Lihong LI, Liya YANG, Feng HAN, Ningning TIAN, Beibei GONG, Suju CHEN

“…Objective:To analyze the rehabilitation effect of conductive education combined with exercise therapy on children with cerebral palsy and provide evidence-based support for the high-quality diagnosis, treatment and care of such groups.Methods:A total of 100 children with cerebral palsy admitted to our hospital were divided into study group and control group by random number table, with 50 cases in each group. …”
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Pregnancy rate following an estradiol-free fixed- TAI protocol during breeding and non-breeding season in water buffaloes under tropical condi- tions by Adriana Camacho de Gutiérrez, Obdulio Camacho, Steward Fernández, Yerixo González, Juan Carlos Gutiérrez-Añez

“…Cows were synchronized on a random day of the estrus cycle. To synchronize the ovulation on day 0, a dose of 10.5 μg GnRH-analog (Buserelin benzoate acetate, Gestar®) was injected intramuscularly (IM) plus the insertion of an IVD maintained for nine days [TRIU B®: 1.0 gr P4, (n=139); CIDR®: 1.38 gr P4 (n=77); or PREGNAHEAT-E®: 250 mg of medroxyprogesterone acetate (MPA), (n= 18)]. …”
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The impact of weight loss interventions on disordered eating symptoms in people with overweight and obesity: a systematic review & meta-analysisResearch in context by Elena Tsompanaki, Dimitrios A. Koutoukidis, Gina Wren, Heather Tong, Annika Theodoulou, Danni Wang, Rebecca J. Park, Susan A. Jebb, Paul Aveyard

“…Pooled standardised mean differences (SMD) in scores of disordered eating were calculated using random effects meta-analyses. Risk of bias (RoB) was assessed using the Cochrane RoB 2 tool and the Newcastle–Ottawa scale for randomised and single-arm trials, respectively (PROSPERO ID: CRD42023404792). …”
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La transformation de l’ancien centre de détention secrète de Derb Moulay Cherif en musée des « années de plomb » (Casablanca, Maroc) by Anissa Habane

“…For several decades, this secret site, the centerpiece of the repressive system, held, tortured and killed political activists, union members and student activists, as well as random individuals. After the death of King Hassan II in 1999, an emerging body of prison literature in French and Arabic made it possible to expose and inform about the conditions of detention in these secret detention centers. …”
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Economic Evaluation of Robotic-assisted Radical Prostatectomy: A Systematic Review and Meta-analysis by Tanan Bejrananda, Win Khaing, Sajesh K. Veettil, Therdpong Thongseiratch, Nathorn Chaiyakunapruk

“…A pooled analysis was performed using a random-effect model stratified by country income level. …”
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Association of preoperative blood biomarkers with postoperative major adverse cardiac events and mortality in major orthopaedic surgery: a systematic review and meta-analysis by Lin Lu, Yi Ren, Zhen Hua, Yanxia Sun, Zhenghao Wen, Suzhen Zhou

“…This study aimed to assess the association between preoperative blood biomarkers and postoperative MACEs as well as all-cause mortality in patients undergoing major orthopaedic surgery.Design A systematic review and meta-analysis.Data sources PubMed, EMBASE, the Cochrane Controlled Trials Register and Cochrane Database of Systematic Reviews from inception to 20 October 2024 were searched.Eligibility criteria Observational or experimental studies reporting the correlation between preoperative blood biomarkers and postoperative MACEs—categorised as short-term (within 3 months) or long-term (beyond 3 months)—and all-cause mortality in patients undergoing major orthopaedic surgery.Data extraction and synthesis Data from studies reporting OR or HR and its 95% CI were pooled for analysis using random-effects model.Results 21 preoperative blood-based biomarkers from 80 studies with 226 468 patients were analysed. …”
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Hydrodynamic cavitation induced fabrication of soy protein isolate–polyphenol complexes: Structural and functional properties by Fengyan Wei, Xianʹe Ren, Yongchun Huang, Ning Hua, Yuting Wu, Feng Yang

“…Circular dichroism spectroscopy indicated that HC treatment altered the secondary structure of SPI–polyphenol complexes, inducing an increase in α-helix and random coil contents and a decrease in β-sheet content. …”
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Patients’ loyalty to primary care institutions and associated factors in China: a cross-sectional study by Liqing Li, Qi Zhang, Liyong Zhu, Guohua Zeng, Hongwei Huang, Zhensheng Chen, Xiaogang Zhou, Xiaofang Wang, Zisheng Xu, Chunmei Wu, Di Yang, Xiaoting Zhai, Sule Yang, Zuxun Lu, Yong Gan, Zuxun Lu

“…Methods A multistage stratified random sampling method was employed to collect data for this study. …”
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Designing and Modeling Digital Transformation in the Automotive Industry: Leveraging the Fourth Industrial Revolution by Mohammad Saeed Mozafari Mehr, Mohammad Taghi Taghavifard

“…The required sample volume was provided by a simple random sampling method. A semi-structured interview and a researcher-made questionnaire were used to collect data. …”
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The prevalence of attention-deficit hyperactivity disorder and its associated factors among children in Ethiopia, 2024: a systematic review and meta-analysis by Molla Azmeraw, Dessie Temesgen, Amare Kassaw, Alemu Birara Zemariam, Gashaw Kerebeh, Gebremeskel Kibret Abebe, Addis Wondmagegn Alamaw, Biruk Beletew Abate

“…The data were extracted using Microsoft Excel 2019, and the statistical analysis was performed using STATA 17.0. Using a random-effects model, we evaluated the combined prevalence of ADHD and associated factors. …”
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Comparative Assessment of 0.5% Levobupivacaine and 0.5% Ropivacaine for Anaesthetic Potency in Mandibular Third Molar Extractions: A Randomised Controlled Trial by Prachi Surolia, Rajanikanth Kambala, Nitin Bhola, Anchal Agarwal

“…Statistical analysis was performed using descriptive and inferential statistics, including the Student’s unpaired t-test for intergroup comparison and Fisher’s-exact test to assess the non random association between two categorical variables. …”
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Development and validation of machine learning models for MASLD: based on multiple potential screening indicators by Hao Chen, Jingjing Zhang, Xueqin Chen, Ling Luo, Wenjiao Dong, Yongjie Wang, Jiyu Zhou, Canjin Chen, Wenhao Wang, Wenbin Zhang, Zhiyi Zhang, Yongguang Cai, Danli Kong, Yuanlin Ding

“…Subsequently, the partial dependence plot(PDP) method and SHapley Additive exPlanations (SHAP) were utilized to explain the roles of important variables in the model to filter out the optimal indicators for constructing the MASLD risk model.ResultsRanking the feature importance of the Random Forest (RF) model and eXtreme Gradient Boosting (XGBoost) model constructed using all variables found that both homeostasis model assessment of insulin resistance (HOMA-IR) and triglyceride glucose-waist circumference (TyG-WC) were the first and second most important variables. …”
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The influence of HIV infection on myocardial fibrosis diagnosed by cardiac magnetic resonance imaging in adults: a systematic review and meta-analysis of observation studies by Katongo Hope Mutengo, Katongo Hope Mutengo, Bruno Bezerra Lima, Wilbroad Mutale, Aggrey Mweemba, Lorrita Kabwe, Clive Banda, Callistus Kaayunga, Mutale Mulenga, Douglas Heimburger, Sepiso K. Masenga, John Jeffrey Carr, Annet Kirabo

“…We examined myocardial fibrosis prevalence via the prevalence difference in LGE, and severity by mean differences in native T1 mapping values [milliseconds (ms)] and global extracellular volume fraction (ECVF,%) between PWH and HIV-uninfected individuals, using random effects model.Results and discussionPooled analyses showed PWH had a 33% higher prevalence of LGE (95% CI: 12.0%–54.0%, I2 = 94.5%, p < 0.001), a mean native T1 mapping difference of 27.30 ms (95% CI: 11.21–43.39 ms, I2 = 88.2%, p < 0.001), and a mean ECVF difference of 1.85% (95% CI: 0.63%–3.08%, I2 = 90.5%, p < 0.001), respectively. …”
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Determinants of fertility in timed artificial insemination programs in beef cattle: predictive ability and risk factors from almost 2 million data points by R.E.F. Assis, F. Baldi, L.B. Temp, R. Ungerfeld, M.F. de Sá Filho

“…A total of 1 832 999 TAIs conducted on 2 002 farms across South American countries were considered for the analysis, including 15 main fixed effects or interactions in the statistical model, in addition to five random effects. The pregnancy/A.I. (P/AI) was affected by Order of service (1st TAI > resynchronizations), body condition class (BCS) (high > medium > low), female genetic group [Bos taurus and crossbreds > Bos indicus], breeding season (reduction of the P/AI every year), female category [Non-lactating multiparous > Suckled multiparous > Suckled primiparous > Nulliparous heifers], period of year (July-September, October-December and January-March > April-June) and climatic region as well as the interactions between Order of service and female category, BCS class and female genetic group (impact of BCS: Bos taurus or crossbreed animals > Bos indicus), BCS and female category (impact of BC:S Suckling > non-Suckling categories), female category and time of female availability, female category and female genetic group, female category and climatic region, and climatic region and period of the year. …”
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Effects of cold-water immersion on health and wellbeing: A systematic review and meta-analysis. by Tara Cain, Jacinta Brinsley, Hunter Bennett, Max Nelson, Carol Maher, Ben Singh

“…Meta-analyses were conducted using RevMan software (version 5.4), applying random effects models to calculate standardized mean differences (SMD) between pre- and post-CWI exposure outcomes. …”
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