Evaluating the domains of generalism and equity, diversity and inclusion in preclinical simulated cases for targeted curricular improvements by Thomas Soroski, Kuda Hove, Lisa Steblecki, Jaime C. Yu

“…Analysis included descriptive statistics and Pearson correlation coefficient.Results A total of 49 simulated cases were reviewed. …”
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The Influence of Job Crafting on Nurses’ Intent to Stay: A Cross-Sectional Study by Mª Carmen Rodríguez-García, Ángeles Ramos-Martínez, Celia Cruz-Cobo

“…The Spearman correlation coefficient was calculated to explore the relationships between variables. …”
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Utilizing Machine Learning and Deep Learning for Precise Intensity-Duration-Frequency (IDF) Curve Predictions by Sheeraz Majeed Ameen, Shuokr Qarani Aziz, Anwer Hazim Dawood, Azhin Tahir Sabir, Dara Muhammad Hawez

“…The models evaluated include the Gumbel Distribution, Linear Regression, Support Vector Regression (SVR), and Recurrent Neural Networks (RNN) with Long Short-Term Memory (LSTM), assessed based on three metrics: Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Coefficient of Determination (R2 ). Among these, the RNN-LSTM model demonstrated the lowest RMSE (1.44 mm/hr), lowest MAE (0.81 mm/hr), and highest R2 (0.99), outperforming the Gumbel Distribution (RMSE: 9.13 mm/hr), Linear Regression (RMSE: 10.76 mm/hr), and SVR (RMSE: 6.19 mm/hr). …”
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Investigating the relationship between mental health literacy, care burden and emotional styles in family caregivers of people with mental disorders by Ahmad Reza Razmjoo, Jamileh Mohtashami, Fatemeh Sadat Seyed Nematollah Roshan

“…Methods This descriptive correlational study was conducted in 2023 on 215 caregivers of patients with mental disorders who had been selected from 4 psychiatric hospitals in Tehran, Iran by quota sampling method. …”
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Estimation of elbow flexion torque using equilibrium optimizer on feature selection of NMES MMG signals and hyperparameter tuning of random forest regression by Raphael Uwamahoro, Raphael Uwamahoro, Kenneth Sundaraj, Farah Shahnaz Feroz

“…The performance of the GLEO-coupled with the RFR model was compared with the standard Equilibrium Optimizer (EO) and other state-of-the-art algorithms in physical and physiological function estimation using biological signals.ResultsExperimental results showed that selected features and tuned hyperparameters demonstrated a significant improvement in root mean square error (RMSE), coefficient of determination (R2) and slope with values improving from 0.1330 to 0.1174, 0.7228 to 0.7853 and 0.6946 to 0.7414, respectively for the test dataset. …”
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How Accurately Does Bone Mineral Density Predict Bone Strength? A Clinical Observational Study of Osteoporosis Vertebral Compression Fractures in Postmenopausal Women by Xuemeng Mu, Hengyan Zhang, Jia Zhang

“…The objective of the present study was to determine which osteoporosis‐related examinations best predicted trabecular bone strength, and to enhance a formula for predicting bone strength on the basis of bone density examination. …”
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Social Health Status and Its Related Factors in Older Adults by Fatemeh Sadadt Izadi-Avanji, Rasoul Mohseni-Asl, Hamidreza Gilasi

“…Data were analyzed using an independent t-test, one-way analysis of variance, the Tukey post hoc test, the Pearson correlation coefficient, and linear regression with a stepwise method. …”
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The impact of noise-induced hearing loss on individual job performance: exploring the role of aggression and work-related quality of life by Milad Abbasi, Jalil Derakhshan, Faezeh Darabi, Media Noori Abdullah, Evan Abdulkareem Mahmood, Tahereh Eskandari, Saeid Yazdanirad

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Radar Sensor Data Fitting for Accurate Linear Sprint Modelling by Daniel Geneau, Patrick Cormier, Ming-Chang Tsai, Dana Agar-Newman, Seth Lenetsky, Marc Klimstra

“…This study evaluated five different modelling approaches, including three established methods, a third-degree polynomial, and a sigmoid function, assessing their goodness-of-fit through the root mean square error (RMSE) and coefficient of determination (r²). …”
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Improving Tanzanian student nurse-midwives’ knowledge, skills and attitude in postpartum hemorrhage prevention through simulation-based education: a pre-post quasi experimental stu... by Rose Faustine, Ingrid Tjoflåt, Eva Christina Furskog Risa, Jane Rogathi, Michael Johnson Mahande

“…Abstract Background Postpartum hemorrhage is a leading cause of maternal deaths in Tanzania, highlighting the critical need for effective training for student nurse-midwives in ordinary diploma programs. The study aimed to determine the changes in knowledge, skills, self-confidence, and satisfaction in preventing and managing postpartum hemorrhage among student nurse-midwives after the simulation-based education method is being used. …”
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Development and validation of the perceived compassion scale: a reliable tool for assessing patient-centered nursing care by Yasemin Erden, Ayşe Metin, Nurgul Karakurt, Ulviye Aydan Nacak

“…Reliability was evaluated through Cronbach’s Alpha and the split-half method. Statistical analyses were conducted using SPSS 22 and AMOS. …”
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The Reliability and Validity of the Modified Butterfly Agility Test by Richard Cahanin, Troy Burley, Andy Waldhelm

“…Intraclass correlation coefficients were used to assess the reliability of the mBAT and repeated measures analysis of variance (ANOVA) was used to assess differences between trials in Phase I. …”
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Predicting Calcein Release from Ultrasound-Targeted Liposomes: A Comparative Analysis of Random Forest and Support Vector Machine by Ibrahim Shomope MS, Kelly M. Percival BS, Nabil M. Abdel Jabbar PhD, Ghaleb A. Husseini PhD

“…RF and SVM models were trained and evaluated using mean absolute error (MAE), mean squared error (MSE), coefficient of determination (R²), and the a20 index as performance metrics. …”
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Relationship between Self-care Behaviors and Quality of Life among Hypertensive Patients Visiting Comprehensive Health Centers in Hamadan, Iran by Shayesteh Bairami, Yadollah Fathi, Samaneh Mohammadinasab, Majid Barati, Younes Mohammadi

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Construction and validation of a machine learning-based nomogram model for predicting pneumonia risk in patients with catatonia: a retrospective observational study by Yi-chao Wang, Qian He, Yue-jing Wu, Li Zhang, Sha Wu, Xiao-jia Fang, Shao-shen Jia, Fu-gang Luo

“…The best-performing model was selected for multivariable analysis to determine the variables included in the final Nomogram Model. …”
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Impact of resilience, social support, and perceived health status on happiness among nursing students: A cross-sectional study by Nguyen Ngoc Quynh Nga, Diep Thi Tieu Mai, Pham Thi Thuy, Tran Thi Tuyet Linh

“…The ANOVA test, Pearson's correlation coefficient, and multiple linear regression were employed to analyze data with a p-value less than 0.05. …”
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Development of a mental health-related structural stigma measurement framework in the healthcare system setting: A modified Delphi study. by Dristy Gurung, Bhawana Subedi, Brandon A Kohrt, Syed Shabab Wahid, Sauharda Rai, Graham Thornicroft, Petra C Gronholm

“…Smith's salience index was calculated to measure consensus and Kendall's coefficient of concordance to determine the degree of agreement. …”
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Prediction of the Possibility of Hemorrhagic Syndrome during Combined Antiplatelet Therapy According to the Krasnodar Region Registry by Z. G. Tatarintseva, E. D. Kosmacheva, S. V. Kruchinova, V. A. Akinshina, A. A. Khalafyan

“…To develop a model and software module for predicting possible bleeding in patients with ACS combined with AF taking three-component antithrombotic therapy.Materials and Methods. To build prognostic models for the development of hemorrhagic syndrome, a statistical method was used for classification trees and the neural network procedure implemented in the STATISTICA package. …”
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Left atrial function in uraemic patients: Four‐dimensional automatic left atrial quantitative technology study by Bing Li, Meihua Chen, Xuning Huang

“…The Pearson correlation coefficient was employed to assess the relationships between left atrial ejection fraction and left atrial strain parameters. …”
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Impact of climatic factors on the occurrence of malaria in hyper, high, moderate and low endemic States in India from 1995 to 2023 by Muniaraj Mayilsamy, Rajagopal Parthasarathy, Rajamannar Veeramanoharan, Paramasivan Rajaiah

“…Therefore, the impact of the annual average of climatic factors on the annual parasite index (API) in hyper-, high-, moderate-, and low-endemic states was analysed. Methods The annual malaria data provided by the National Center for Vector Borne Diseases Control, and meteorological data provided by the India Meteorological Department, Pune, and Statista, were used to make temporal trend analysis, scatter plot analysis, clustered scatter plot analysis, and Spearman & Pearson correlation coefficient to determine the impact of climatic factors on the occurrence of malaria in hyper, high, moderate and low endemic States in India. …”
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