Determination of Modelling Error Statistics for Cold-Formed Steel Columns by R. P. Rokade, K. Balaji Rao, B. Palani

“…The probabilistic analysis to determine statistical characteristics of compression capacity indicates the importance of consideration of ME as a random variable. Hence, the ME results will be useful in code calibration studies and may have potential reference to design practice.…”
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Faktor – Faktor yang Berhubungan dengan Kejadian Dismenore Primer pada Remaja Putri di SMAIT Raflesia Depok Tahun 2024 by Syafila, Iin Fatmawati Imrar, Sintha Fransiske Simanungkalit

“…Sampel penelitian mencakup 103 siswi kelas X dan XI berusia 14 hingga 17 tahun yang diambil berdasarkan metode stratified random sampling. Variabel penelitian mencakup persen lemak tubuh, asupan lemak, asupan zat besi, asupan kalsium, asupan magnesium dan kejadian dismenore primer. …”
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Clinical Predictors of Aspirin Resistance in Patients with Type 2 Diabetes: A Systematic Review and Meta-Analysis by Fan Zhang, Hongyan Zheng

“…We applied either a fixed- or random effects model based on the heterogeneity observed among the included studies. …”
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Clinical and Radiological Presentations of Various Pulmonary Infections in Hospitalized Diabetes Mellitus Patients: A Prospective, Hospital-Based, Comparative, Case Series Study by Pravesh Vishwakarma, Kauser Usman, Rajiv Garg, Jyoti Bajpai, Rishi Sethi, Akshyaya Pradhan

“…Diabetics were older than nondiabetics at presentation (p<0.0001). Difference in mean random blood sugar (RBS) (p<0.001), fasting blood sugar (FBS) (p<0.001), and postprandial blood sugar (PPBS) (p<0.0001) was significant between diabetics and nondiabetics. …”
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Understanding Psychological Wellbeing Among Iranian Healthcare Workers: The Role of Resilience and Social Capital by Maryam Akbari, Mohammad Hossein Kaveh, Rosanna Cousins, Hamidreza Mokarami, Mehdi Jahangiri, Changiz Rahimi Taghanaki

“…This study aimed to clarify the contribution of resilience and social capital as predictors of psychological well-being as a first step toward developing evidence-based interventions to improve psychological wellbeing in healthcare workers.Methods: This cross-sectional study was conducted on Iranian healthcare workers. Systematic random sampling was used to recruit 140 employees working in healthcare centers in Shiraz, Iran, in 2021. …”
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Neonatal outcomes in offspring of mothers with pregestational diabetes: a hospital-based multicentre prospective cohort study protocol by Manu Raj, Vishnu Renjith, Renjitha Bhaskaran, Anju Philip Thurkkada, Radhamany Kunjukutty, Sobha S Nair, Annie Soman, Sethulakshmi Ramachandran

“…PGDM will be diagnosed by the following criteria—FBS ≥126 mg% OR HbA1c ≥6.5 mg% OR Random blood glucose ≥200 mg% on the initial visit or documented prior to the index pregnancy. …”
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Observation on the Efficacy of Ginkgo Ketone Ester Drop Pill in Improving Hypertension Combined with Carotid Atherosclerotic Plaque by Jie Zhang, Yingli Ma

“…The grouping was done by the random number table method and 300 patients were divided equally into 2 groups. …”
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Steroid use for established bronchopulmonary dysplasia: study protocol for a systematic review and meta-analysis by Roy K Philip, Joanna Seliga-Siwecka, Eduardo Villamor, Maria Pierro, Niazy Al Assaf, Sabina Strashun, Roberto Chioma, Kinga Zielińska, Krzysztof Włodarczyk

“…We will account for the expected heterogeneity by using a random-effects model. We will perform subgroup analysis based on the a priori determined covariate of interest.Ethics and dissemination Systematic reviews are exempted from approval by an ethics committee. …”
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Magnitude and Its Associated Factors of Urinary Tract Infection among Adult Patients Attending Tigray Region Hospitals, Northern Ethiopia, 2019 by Abrha Hailay, Kidane Zereabruk, Guesh Mebrahtom, Woldu Aberhe, Degena Bahrey

“…A hospital-based cross-sectional study was conducted from April to May 2019. Systematic random sampling technique was used to select 472 participants from five randomly selected hospitals in Tigray region. …”
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Sequencing Analysis of Invasive Carbapenem-Resistant <i>Klebsiella pneumoniae</i> Isolates Secondary to Gastrointestinal Colonization by Gaetano Maugeri, Maddalena Calvo, Dafne Bongiorno, Dalida Bivona, Giuseppe Migliorisi, Grete Francesca Privitera, Guido Scalia, Stefania Stefani

“…In conclusion, active surveillance through sequencing is essential to enhance awareness of local epidemiology within high-risk multi-drug resistance areas. A random sequencing analysis on the most warning microorganisms could enhance sequence typing (ST) awareness within specific settings, allowing for better prevention control strategies on their eventual persistence or diffusion.…”
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Advancing Objective Mobile Device Use Measurement in Children Ages 6–11 Through Built-In Device Sensors: A Proof-of-Concept Study by Olivia L. Finnegan, R. Glenn Weaver, Hongpeng Yang, James W. White, Srihari Nelakuditi, Zifei Zhong, Rahul Ghosal, Yan Tong, Aliye B. Cepni, Elizabeth L. Adams, Sarah Burkart, Michael W. Beets, Bridget Armstrong

“…Five machine learning models, logistic regression (LR), support vector machine, neural net (NN), k-nearest neighbors (k-NN), and random forest (RF), were trained using 57 features generated from the sensor output to perform multiclass classification. …”
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Predicting the exposure of mycophenolic acid in children with autoimmune diseases using a limited sampling strategy: A retrospective study by Ping Zheng, Ting Pan, Ya Gao, Juan Chen, Liren Li, Yan Chen, Dandan Fang, Xuechun Li, Fei Gao, Yilei Li

“…Ten algorithms, including Random Forest, XGBoost, LightGBM, Gradient Boosting Decision Tree, CatBoost, Artificial Neural Network, Grandient Boosting Machine, Transformer, Wide&Deep, and TabNet, were employed for modeling based on two, three, or four concentrations of MPA. …”
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Fully automated segmentation and classification of renal tumors on CT scans via machine learning by Jang Hee Han, Byung Woo Kim, Taek Min Kim, Ji Yeon Ko, Seung Jae Choi, Minho Kang, Sang Youn Kim, Jeong Yeon Cho, Ja Hyeon Ku, Cheol Kwak, Young-Gon Kim, Chang Wook Jeong

“…Both conventional radiological features (Hounsfield units, HUs) and radiomic features extracted from areas predicted by the deep learning models were used to develop an algorithm for classifying renal tumor subtypes via a random forest classifier. The performance of the segmentation model was evaluated using the Dice similarity coefficient, while the classification model was assessed based on accuracy, sensitivity, and specificity. …”
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Completion of the Central Italy daily precipitation instrumental data series from 1951 to 2019 by Gamal AbdElNasser Allam Abouzied, Guoqiang Tang, Simon Michael Papalexiou, Martyn P. Clark, Eleonora Aruffo, Piero Di Carlo

“…However, the machine learning strategy using random forest (ML3) has the most outstanding share in the final estimates among all other strategies. …”
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Prevalence of diabetic retinopathy and its associated factors among adults in East African countries: A systematic review and meta-analysis. by Habtamu Wagnew Abuhay, Tigabu Kidie Tesfie, Meron Asmamaw Alemayehu, Muluken Chanie Agimas, Getaneh Awoke Yismaw, Gebrie Getu Alemu, Nebiyu Mekonnen Derseh, Bantie Getnet Yirsaw

“…A forest plot was used to estimate the pooled prevalence of diabetic retinopathy using DerSimonian and Laird's random-effects model. We checked publication bias using funnel plots and Egger's regression test. …”
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Interventional effect of ACT on social interaction in children aged 7-10 years with Asperger syndrome by HUANG Jin, YUAN Bin, ZHAO Shan, HU Maorong

“…Methods A total of 60 Asperger syndrome children admitted to the Third Hospital of Fuzhou from January 1， 2023 to December 31， 2023 were enrolled and divided into the ACT （<i>n = </i>30） and control groups （<i>n = </i>30） using the random number table method. Children in the control group were given with health psychological education， and those in the ACT group received ACT on the basis of health psychological education. …”
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Multi‐objective multiperiod stable environmental economic power dispatch considering probabilistic wind and solar PV generation by Aamir Ali, Sumbal Aslam, Sohrab Mirsaeidi, Noor Hussain Mugheri, Riaz Hussain Memon, Ghulam Abbas, Hammad Alnuman

“…Uncertainties in RES and load demand are modelled using random variable generation techniques, applying Gaussian, Weibull, and log‐normal probability density functions (PDFs) for load demand, wind velocity, and solar irradiance, respectively. …”
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Pain Perception of the First Eye versus the Second Eye during Phacoemulsification under Local Anesthesia for Patients Going through Cataract Surgery: A Systematic Review and Meta-A... by Chuying Shi, Jinqiu Yuan, Benny Zee

“…The meta-analysis was conducted by means of random-effects model and fixed-effects model according to the heterogeneity. …”
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Remotely sensed spectral indicators of bird taxonomic, functional and phylogenetic diversity across Afrotropical urban and non-urban habitats by Adewale G. Awoyemi, Tunrayo R. Alabi, Juan Diego Ibáñez-Álamo

“…To do so, we sampled birds at 400 points equally distributed across eight Nigerian areas, two vegetation zones (rainforest vs savannah), and two habitats (urban vs non-urban), and extracted 29 indicators (mean and SD) at 50-m radius of each point (exact area of bird censuses). Random Forest Regressions and Generalized Linear Mixed Effect Models were used to identify the topmost ranked indicator of each avian diversity component, and its variation between urban and non-urban areas. …”
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Effect of short message service reminders in improving optimal antenatal care, skilled birth attendance and postnatal care in low-and middle-income countries: a systematic review a... by Tesfahun Hailemariam, Asmamaw Atnafu, Lemma Derseh Gezie, Binyam Tilahun

“…The quality of included studies was examined using JBI risk of bias assessment tools. A measure of the random-effects model was used to estimate the pooled effect size expressed as Relative Risk (RR) with a 95%CI. …”
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