Arabic version of the patient education materials assessment tool (PEMAT): translation and validation by Marwan A. Alrasheed, Aliyah Almobarak, Hisham M. Alfayyadh, Abdulelah Alkahtani, Bander Balkhi

“…Pearson correlation and the Standard Error of Measurement (SEM) were also calculated. …”
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RMIS-Net: a fast medical image segmentation network based on multilayer perceptron by Binbin Zhang, Guoliang Xu, Yiying Xing, Nanjie Li, Deguang Li

“…Medical image segmentation, a pivotal component in diagnostic workflows and therapeutic decision-making, plays a critical role in clinical applications ranging from pathological diagnosis to surgical navigation and treatment evaluation. …”
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Biologically inspired hybrid model for Alzheimer’s disease classification using structural MRI in the ADNI dataset by Houmem Slimi, Imen Cherif, Sabeur Abid, Mounir Sayadi

“…The results underscore the potential of hybrid CNN-SNN architectures to improve early detection and stratification of neurodegenerative diseases, paving the way for future applications in neuromorphic healthcare systems.…”
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Towards monitoring biodiversity in Amazonian forests: how regular samples capture meso-scale altitudinal variation in 25 km2 plots. by Darren Norris, Marie-Josée Fortin, William E Magnusson

“…Kolmogorov-Smirnov-tests, correlation and root-mean-square-error were used to measure sample representativeness, similarity and accuracy respectively. …”
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Moving toward the digitalization of neuropsychological tests: An exploratory study on usability and operator perception by Maria Grazia Maggio, Fabio Mauro Giambò, Martina Barbera, Paolo De Pasquale, Francesca Bruno, Andrea Calderone, Angelo Quartarone, Amelia Rizzo, Rocco Salvatore Calabrò

“…Key qualitative feedback indicated that participants appreciated the speed, efficiency, and reduced error rates of digital tools, with many noting improvements in data organization and reporting. …”
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Multi-scale attention patching encoder network: a deployable model for continuous estimation of hand kinematics from surface electromyographic signals by Chuang Lin, Qiong Xiao, Penghui Zhao

“…The results show that the average Pearson correlation coefficient (CC), normalized root mean square error (NRMSE), coefficient of determination (R2), and smoothness (SMOOTH) of the sMAPEN model are 0.9082, 0.0646°, 0.8163, and − 0.0017, respectively, which significantly outperforms that of the state-of-the-art methods in all metrics (p < 0.01). …”
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Smart forest monitoring: A novel Internet of Things framework with shortest path routing for sustainable environmental management by Alireza Etaati, Mostafa Bastam, Ehsan Ataie

“…The primary objective of this article is to reduce power consumption, alleviate network traffic, and decrease nodes' interdependence, while also considering reliability coefficients and error tolerance as additional considerations. As shown in the results, the proposed methods effectively reduce network traffic, optimise routing, and ensure robust performance across various environmental conditions, highlighting the importance of these tailored topologies in enhancing energy efficiency, data accuracy, and network reliability in forest monitoring applications.…”
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Geographically Aware Air Quality Prediction Through CNN-LSTM-KAN Hybrid Modeling with Climatic and Topographic Differentiation by Yue Hu, Yitong Ding, Wenjing Jiang

“…This methodological framework provides valuable insights for addressing spatial heterogeneity in environmental modeling applications.…”
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Insights into Phase Transformations during Selective Laser Melting of Ti6Al4V: A Numerical Approach by Gasser Abdelal, Daniel Higgins, Chi-Wai Chan, Brian Falzon

“…The developed model is a robust tool for guiding the design and optimisation of SLM processes, reducing the reliance on trial-and-error methods, and enhancing the efficiency and quality of additive manufacturing for critical applications in aerospace, biomedical, and automotive industries.…”
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Hydrological modeling of ungauged wadis in arid environments using GIS: a case study of Wadi Madoneh in Jordan by Nezar Hammouri, Ali El-Naqa

“…Runoff is one of the most important hydrological variables used in most of the water resources applications. Reliable prediction of runoff from land surface into streams and rivers is difficult and time consuming to obtain for ungauged basins. …”
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Comparison of three one-dimensional time-domain electromagnetic forward algorithms by Frederik Alexander Falk, Anders Vest Christiansen, Thomas Mejer Hansen

“…First, we analyze the relative modeling error of each algorithm’s forward calculation for conductive half-space models, compared to an analytic solution. …”
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An Automated Framework for Lane Closure Detection on Highway Using Connected Vehicle Data and Machine Learning Models by Ashutosh Dumka, Raghupathi Kandiboina, Aparna Joshi, Skylar Knickerbocker, Neal Hawkins, Anuj Sharma

“…The traditional methods, which use primarily manual reporting or sensor-based methods, can be error-prone, inefficient, and costly. This study introduces an innovative real-time lane closure detection approach using connected vehicle (CV) data and machine learning techniques. …”
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Predicting fall risk in older adults: A machine learning comparison of accelerometric and non-accelerometric factors by Ana González-Castro, José Alberto Benítez-Andrades, Rubén González-González, Camino Prada-García, Raquel Leirós-Rodríguez

“…Future work should validate these models in larger, more diverse populations to enhance clinical applicability.…”
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Psychometric evaluation of the Persian version of the adult chronic kidney disease self-management instrument in the Iranian population by Simin Alasvand, Mehrnaz Ahmadi, Hamid Sharif-Nia, Marziyeh Asadizaker

“…Additionally, the concept being studied has three subconcepts that show sufficient reliability and applicability within the Iranian population.…”
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Dual-band reconfigurable circularly polarized antenna with novel phase shifter and beamforming network by Majid Allahverdizadeh, Reza Masoumi, Mohammad Bemani

“…Moreover, its compact and low-cost structure supports scalable IoT applications such as smart cities, connected vehicles, and advanced communication systems.…”
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Evaluation of Network Design and Solutions of Fisheye Camera Calibration for 3D Reconstruction by Sina Rezaei, Hossein Arefi

“…These devices offer extensive photographic coverage and are increasingly utilised in many photogrammetry applications due to their significant user-friendly configuration, especially in their low-cost versions. …”
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Optimizing Security of Radio Frequency Identification Systems in Assistive Devices: A Novel Unidirectional Systolic Design for Dickson-Based Field Multiplier by Atef Ibrahim, Fayez Gebali

“…This advancement is crucial as RFID technology becomes increasingly integrated into various IoT applications for individuals with disabilities, including secure identification and access control.…”
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A Multi-Scale Fusion Convolutional Network for Time-Series Silicon Prediction in Blast Furnaces by Qiancheng Hao, Wenjing Liu, Wenze Gao, Xianpeng Wang

“…Compared with LSTM and the GRU, MSF-CNN reduces the Root Mean Square Error (RMSE) by approximately 22% and 21%, respectively, and improves the Hit Rate (HR) by over 3.5% and 4%, highlighting its superiority in capturing complex temporal dependencies. …”
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LHS-GA Based H-Infinity Control for Robust Airfoil Flutter Suppression by Malek Rekik, Omar Khaled, Karolos Grigoriadis, Matthew A. Franchek

“…Unlike frequency-domain methods that rely on trial-and-error or conservative assumptions, LHS-GA automatically synthesizes a robust static controller by directly addressing time-domain constraints and performance metrics. …”
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Automated machine learning for image-based detection of dental plaque on permanent teeth by Teerachate Nantakeeratipat, Natchapon Apisaksirikul, Boonyaon Boonrojsaree, Sirapob Boonkijkullatat, Arida Simaphichet

“…While the two-class model showed promise for clinical use, further studies with larger datasets are recommended to enhance model generalization and real-world applicability.…”
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