Multi-Modal Sensing for Propulsion Estimation in People Post-Stroke Across Speeds by Krithika Swaminathan, Dabin K. Choe, Daekyum Kim, Flore Barde, Teresa C. Baker, Nicholas C. Wendel, Andrew Chin, Gregoire Bergamo, Christopher J. Siviy, Christina Lee, Louis N. Awad, Terry D. Ellis, Conor J. Walsh

“…We show that in the lab, IMU + Insole models improve performance relative to IMU only and Insole only models, with an average root-mean-squared-error (RMSE) of 0.80 %bodyweight (%BW) across the stance phase. …”
Get full text

Reliability of trachoma clinical grading--assessing grading of marginal cases. by Salman A Rahman, Sun N Yu, Abdou Amza, Sintayehu Gebreselassie, Boubacar Kadri, Nassirou Baido, Nicole E Stoller, Joseph P Sheehan, Travis C Porco, Bruce D Gaynor, Jeremy D Keenan, Thomas M Lietman

“…Here, we confirm those results and assess performance of trainees on these borderline cases by calculating their reliability error, a measure derived from the decomposition of the Brier score.…”
Get full text

Evaluating key predictors of breast cancer through survival: a comparison of AFT frailty models with LASSO, ridge, and elastic net regularization by Senyefia Bosson-Amedenu, Emmanuel Ayitey, Francis Ayiah-Mensah, Luyton Asare

“…Model performance was evaluated using Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), Mean Absolute Error (MAE), and Mean Squared Error (MSE) metrics across three sample sizes (25%, 50%, and 75%). …”
Get full text

First Results of a Randomized Controlled Trial of Hemoblock in Patients with Large Incisional Hernias by E. N. Degovtsov, P. V. Kolyadko, V. P. Kolyadko, A. V. Satinov

“…Design of a simple blind randomized controlled trial with a 90 percent study power, α-error equal to 0.05 and β-error equal to 0.10. For this purpose, the total number of subjects is planned to be 66. …”
Get full text

Examining the diagnostic accuracy of interproximal chemical caries using X-ray and artificial neural network (ANN) modeling by Mehrdad Abdinian, Sayed Mohammad Razavi, Naeimeh Nasri, Atieh Sadat Hashemian

“…Both sensitivity and specificity contributed to the improvement of the NPV. The prediction errors of the ANN were evaluated using linear regression and exhibited an acceptable level of error compared to empirical test results. …”
Get full text

Psychometric Properties of the Coparenting Relationship Scale in Ecuadorian Parents by Verónica Paredes, Andrés Ramírez, María José Rodríguez-Reyes, Luis Burgos-Benavides, Francisco Javier Herrero-Diez

“…<b>Conclusions:</b> The Coparenting Relationship Scale is a valid and reliable instrument for assessing coparenting dynamics in Ecuadorian parents, providing a solid basis for interventions and policies aimed at strengthening family well-being in Ecuador.…”
Get full text

System-Wide, Electronic Health Record–Based Medication Alerts for Appropriate Prescribing of Direct Oral Anticoagulants: Pilot Randomized Controlled Trial by Shawna N Smith, Michael S M Lanham, F Jacob Seagull, Morris Fabbri, Michael P Dorsch, Kathleen Jennings, Geoffrey Barnes

“…Two scenarios with alert design and/or execution errors occurred but were quickly identified and resolved, underlining the importance of a responsive quality assurance process in EHR-based interventions. …”
Get full text

Blockage detection in pipelines based on linear frequency modulated acoustic reflection method by Haiyuan Yao, Dan Li, Yan Li, Bo Yang, Yang Meng

“…Validated via controlled experiments simulating industrial-scale conditions, the system achieved millimeter-level positioning accuracy (error <1 %) across varying blockage intensities (20–100 %), representing a 40 % precision improvement over conventional methods. …”
Get full text

Innovative approach for gauge-based QPE in arid climates: comparing neural networks and traditional methods by Bayan Banimfreg, Ernesto Damiani, Vesta Afzali Gorooh, Duncan Axisa, Luca Delle Monache, Youssef Wehbe

“…Results The neural network model outperformed traditional interpolation techniques, achieving a 47% reduction in Root Mean Square Error (RMSE), and a 0.56 increase in R2 compared to the best-performing IDW variant (RS-IDW). …”
Get full text

Predicting mortality risk in Alzheimer’s disease using machine learning based on lifestyle and physical activity by Ruihong Tang, Liang Tan, Xia Chen, Zhengwu Shan, Zhao Zhang, Panpan Cheng

“…Model performance was evaluated using the integrated area under the curve (iAUC), integrated Brier score/prediction error (iBS/PE), and concordance index (C-index). …”
Get full text

Validation of a Model Estimating the Budget Impact of Video Capsule Endoscopy for Surveillance of Crohn’s Disease in an Italian Center by Rhodri Saunders, Carlo Calabrese, Dania Gelli, Jason Davis, Rafael Torrejon Torres

“…A comparative analysis regarding clinical outcomes (biologics use, surgical interventions, symptom remission) was performed to explore the validity of the model compared with real-world data. …”
Get full text

Multimodal Learning for Traffic Risk Prediction: Combining Aerial Imagery With Contextual Data by Hanlin Tian, Yuxiang Feng, Mohammed Quddus, Yiannis Demiris, Panagiotis Angeloudis

“…Our results show that the DeepLabV3+ model, when incorporating both building and traffic data, achieves the highest Intersection over Union (IoU) score of 0.4052 and the lowest Root Mean Square Error (RMSE) of 0.0907. These findings underscore the effectiveness of a multimodal approach in traffic risk assessment, offering a more precise tool for urban planning and traffic management interventions. …”
Get full text

Assessment of groundwater quality for agricultural purposes in Qazvin Province, northwestern Iran: A fuzzy inference and indicator Kriging approach by Mohammad Javad Masoudi, Afshin Ashrafzadeh, Mohammadreza Khaledian, Somaye Janatrostami

“…In ordinary Kriging, the average Root Mean Square Error (RMSE) values for EC, SAR, RSC, TH, Na⁺, and Cl⁻ were 0.94 dS/m, 1.54, 1.42 meq/L, 3.13 mg/L, 3.03 mg/L, and 2.62 mg/L, respectively, indicating reliable assessments of groundwater quality parameters. …”
Get full text

The combined impact of AI and VR on interdisciplinary learning and patient safety in healthcare education: a narrative review by Emmanuel Aoudi Chance

“…Strategic implementation can contribute to error reduction, improved patient outcomes, and a culture of safety. …”
Get full text

Evaluating the impact of machine learning models on adult major depressive disorder using conventional treatment strategies: a systematic review approach by Nishant Yadav, Anamika Gulati, Varun Gulati, Prashant Yadav

“…Abstract Background Major Depressive Disorder (MDD) is a leading cause of global disability often treated through a trial-and-error approach, yet treatment response to antidepressants remains highly variable, with remission rates below 50% after initial treatment. …”
Get full text

Azanza garckeana Extract Alleviates Lead-Induced Testicular Toxicity: A Histological and Oxidative Stress Analysis by Maureen Osemudiamen Oromaiwele, Daniel E. Odiase

“…These findings highlight the promising role of A. garckeana as a natural agent capable of protecting against lead-induced testicular toxicity, paving the way for future therapeutic interventions rooted in herbal medicine.…”
Get full text

An embedded KPI-based advisory framework for monitoring and diagnosis of soft sensor degradation by Muhammad Shahid, Haslinda Zabiri, Syed Ali Ammar Taqvi

“…Four embedded KPIs (Hotelling's T², Squared Prediction Error (SPE), R² recovery, and detection ratio) evaluate faults as short or prolonged process faults. …”
Get full text

Common neural patterns of substance use disorder: a seed-based resting-state functional connectivity meta-analysis by Xiaonan Zhang, Haoyu Zhang, Yingbo Shao, Yang Li, Feifei Zhang, Hui Zhang

“…These abnormalities were associated with impulsivity and may provide a theoretical basis for effective interventions to restore normal connectivity patterns.…”
Get full text

Decomposing socioeconomic inequality in the dietary diversity practice among children aged 6–23 months in Ethiopia by Lemlem Daniel Baffa, Berhanu Mengistu, Fikreab Desta

“…To mitigate this huge burden, child dietary diversity is used as one of the major interventions applied in the first two years of life. …”
Get full text

Analysing dengue fever spread in Kenya using the Zero-Inflated Poisson model by Lameck Ondieki Agasa, Faith Thuita, Thomas Achia, Antony Karanja

“…Humidity (β = 0.0578, standard error [s.e.] = 0.0024, z = 24.157, p  2e-16) and temperature (β = 0.0558, s.e. = 0.0053, z = 10.497, p  0.01) showed a positive relationship with dengue cases, while rainfall (β = –0.0045, s.e. = 0.0003, z = –16.523, p  0.01) had a significant negative effect. …”
Get full text