The hematological impact of umbilical cord milking versus delayed cord clamping in premature neonates: a randomized controlled trial by Hytham Atia, Ahmed Badawie, Osama Elsaid, Mahmoud Kashef, Nourhan Alhaddad, Mohamed Gomaa

“…However, it resulted in increased rates of interventions and morbidities, especially in extremely preterm neonates. …”
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A supervised machine learning statistical design of experiment approach to modeling the barriers to effective snakebite treatment in Ghana. by Eric Nyarko, Edmund Fosu Agyemang, Ebenezer Kwesi Ameho, Louis Agyekum, José María Gutiérrez, Eduardo Alberto Fernandez

“…The results were compared using key metrics: Akaike Information Criterion corrected, Bayesian Information Criterion, Root Average Squared Error, and Fit Time in milliseconds.<h4>Results</h4>Considering all the responses, none of the six machine learning algorithms proved superior, but the Generalized Regression Model (Ridge) performed consistently better among the candidate models. …”
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Neurocomputational Mechanisms of Sense of Agency: Literature Review for Integrating Predictive Coding and Adaptive Control in Human–Machine Interfaces by Anirban Dutta

“…XR-based interventions using robotic interfaces can restore the SoA by modulating sensory precision and motor predictions through adaptive feedback and suggestion. …”
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Understanding the interplay between stress, anxiety, and depression and their impact on health in traffic police officers by Carlos Ramos-Galarza, Fiamma Flores, Taysha Argoti, Diego D. Díaz-Guerra, Marena de la C. Hernández-Lugo, Yunier Broche-Pérez

“…Practically, the findings support the development of targeted mental health interventions and preventive strategies tailored to traffic police officers, contributing to improved occupational health and job performance.…”
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Modeling residential property prices in emerging climate-responsive urban markets: a hybrid modeling framework for Baidoa City-Somalia by Mohamed Ibrahim Nor, Shuaib Nour Hussein

“…The ANN model further reduced prediction errors by approximately 20%, effectively capturing complex non-linear relationships among the predictors. …”
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The scale of attitudes toward workplace sexual harassment disclosure: development and validation among Iranian nurses by Samaneh Behzadi Fard, Mohammad Reza Baneshi, Farideh Razban, Mahlagha Dehghan

“…Conclusion Considering the significant impact of WSH on nurses, assessing their attitudes toward the disclosure of WSH is crucial for developing preventive interventions. This study indicates the psychometric properties of the 18-item NAWSHD-S, making it a valuable scale for use in clinical settings. …”
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Inference for the treatment effect in staircase designs with continuous outcomes: a simulation study by Ehsan Rezaei-Darzi, Kelsey L. Grantham, Andrew B. Forbes, Jessica Kasza

“…Comparisons are made between nominal and observed Type I error rates, and theoretically-derived study power and empirical power. …”
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Is the EnodePro^® a Valid Tool to Determine the Bar Velocity in the Bench Press and Barbell Back Squat? A Comparative Analysis by Nina Behrmann, Martin Hillebrecht, José Afonso, Konstantin Warneke

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Consistency Is Key: A Secondary Analysis of Wearable Motion Sensor Accuracy Measuring Knee Angles Across Activities of Daily Living Before and After Knee Arthroplasty by Robert C. Marchand, Kelly B. Taylor, Emily C. Kaczynski, Skye Richards, Jayson B. Hutchinson, Shayan Khodabakhsh, Ryan M. Chapman

“…Conclusions: With average error ≤ 5°, these specific sensors accurately quantify knee angles before/after surgical intervention. …”
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Imatinib Adherence and Persistence in Patients with Chronic Myeloid Leukemia in Belgium: Evidence from Real-World Data by Michiels S, Tricas-Sauras S, Salaroli A, Bron D, Lewalle P, Vanschoenbeek K, Poirel HA, Kirakoya-Samadoulougou F

“…Multivariable Poisson regression models with robust standard error were conducted to identify predictors associated with adherence (≥ 90% PDC). …”
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Forecasting motion trajectories of elbow and knee joints during infant crawling based on long–short-term memory (LSTM) networks by Jieyi Mo, Qiliang Xiong, Ying Chen, Yuan Liu, Xiaoying Wu, Nong Xiao, Wensheng Hou

“…Evaluation metrics included Mean Absolute Error (MAE), Mean Squared Error (MSE), and Correlation Coefficient (CC) to assess prediction accuracy. …”
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Trend Analysis and Prediction of Violence Against Women and Children Cases in Jakarta Based on the Victim’s Education Level Using ARIMA and SARIMA Method by Zaqi Kurniawan, Rizka Tiaharyadini, Arief Wibowo, Rusdah

“…Key variables included in the dataset are the data period, education level, and total number of victims Using three performance indicators—MAE (Mean Absolute Error), MAPE (Mean Absolute Percentage Error), and RMSE (Root Mean Square Error)—to assess model accuracy the ARIMA model performed better than the SARIMA model. …”
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Fuzzy Logic Optimization to Control Air Conditioner (AC) Conditions using Rule-Based Algorithm by Mhd. Idham Khalif, Abdul Muis

“…By reducing the margin of error, this optimized approach not only improves energy efficiency but also minimizes power consumption in the long run.…”
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An Evaluation of the Effects of Human Factors and Ergonomics on Health Care and Patient Safety Practices: A Systematic Review. by Xuanyue Mao, Pengli Jia, Longhao Zhang, Pujing Zhao, Ying Chen, Mingming Zhang

“…Five broad categories of outcomes were identified in this study: 1) medical errors or patient safety, 2) health care workers' quality of working life (e.g. reduced fatigue, discomfort, workload, pain and injury), 3) user performance (e.g., efficiency or accuracy), 4) health care workers' attitudes towards the interventions(e.g., satisfaction and preference), and 5) economic evaluations.…”
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Modelling and Chaotic Based Parameter Optimization of Sliding Mode Controller by Adnan Derdiyok, Sezgin Kaçar, Onur Demirel, Muhammed Salih Sarıkaya

“…Traditionally, these parameters are set through trial-and-error methods based on the experience of specialists. …”
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Strategies to support the mental health and well-being of health and care workforce: a rapid review of reviews by Cindy E. Frias, Nimesh Samarasinghe, Cecilia Cuzco, Jaseem Koorankot, Andrés de Juan, Husameldin Mohamed Ali Rudwan, Hanan F. Abdul Rahim, Adela Zabalegui, Iain Tulley, Sanaa T. Al-Harahsheh, Mona Shaheen S. T. Al-Homaiddi, Meredith Fendt-Newlin, Jim Campbell

“…Health and care workforce report significantly greater levels of job-related burnout and mental health problems, which in turn are associated with poorer patient outcomes, increased medical errors, diminished quality and safety, decreased patient satisfaction, and reduced healthcare efficiency.ObjectiveWe conducted a rapid review of systematic reviews to evaluate the mental health and well-being of health and care workers since the onset of the COVID-19 pandemic and to identify interventions available at organizational and individual levels.MethodsPubMed and Epistemonikos were searched for systematic reviews published between May 2022 and February 2024. …”
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Association of Disability Quotient with Ocular and Systemic Manifestations in Children with Developmental Delay by Meenakshi Wadhwani, Sehzadi Malhotra, Dhulika Dhingra, Manika Manika, Shubhangi Kursange, Rahul Singh, Sneha Kumari, Amit Kumar

“…Delayed cry at birth was found to have a significant association with lower Developmental Quotient (DQ) (P = 0.021) and higher incidence of refractive error (P = 0.036). Refractive error was more prevalent in children with cerebral palsy (P = 0.006). …”
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The effect of transcranial random noise stimulation on the movement time and components of noise, co-variation, and tolerance in a perceptual-motor task by Fatemeh Salehi, Mohammadreza Doustan, Esmaeel Saemi

“…Abstract There exist numerous factors that contribute to the amplification of errors and complexity in motor processes, among which variability and noise are particularly noteworthy. …”
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Risk factors associated with poor pain outcomes following primary knee replacement surgery: Analysis of data from the clinical practice research datalink, hospital episode statisti... by Hasan Raza Mohammad, Rachael Gooberman-Hill, Antonella Delmestri, John Broomfield, Rita Patel, Joerg Huber, Cesar Garriga, Christopher Eccleston, Rafael Pinedo-Villanueva, Tamer T Malak, Nigel Arden, Andrew Price, Vikki Wylde, Tim J Peters, Ashley W Blom, Andrew Judge

“…These findings will support development of interventions to reduce the numbers of patients who have poor pain outcomes.…”
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Predicting student self-efficacy in Muslim societies using machine learning algorithms by Mohammed Ba-Aoum, Mohammed Ba-Aoum, Mohammed Alrezq, Jyotishka Datta, Konstantinos P. Triantis

“…Model performance was assessed using root mean square error (RMSE) and r-squared (R2) metrics to ensure reliability and validity.ResultsThe results showed that Random Forest outperformed the other models in accuracy, as measured by R2 and RMSE metrics. …”
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