Automated Implementation of the Edinburgh Visual Gait Score (EVGS) by Ishaasamyuktha Somasundaram, Albert Tu, Ramiro Olleac, Natalie Baddour, Edward D. Lemaire

“…Evaluation of gait videos of patients with cerebral palsy showed high accuracy for parameters such as hip and knee flexion but a need for improvement in pelvic rotation and hindfoot alignment scoring. …”
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High-throughput phenotyping techniques for forage: Status, bottleneck, and challenges by Tao Cheng, Dongyan Zhang, Gan Zhang, Tianyi Wang, Weibo Ren, Feng Yuan, Yaling Liu, Zhaoming Wang, Chunjiang Zhao

“…Resolving these challenges will unlock the full potential of HTP, enabling precise identification of superior forage traits, accelerating the breeding of superior varieties, and ultimately improving forage yield.…”
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Integration of molecular coarse-grained model into geometric representation learning framework for protein-protein complex property prediction by Yang Yue, Shu Li, Yihua Cheng, Lie Wang, Tingjun Hou, Zexuan Zhu, Shan He

“…While most existing algorithms represent PPI complex graph structures at the atom-scale or residue-scale, these representations can be computationally expensive or may not sufficiently integrate finer chemical-plausible interaction details for improving predictions. …”
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Traumatic Brain Injury and Artificial Intelligence: Shaping the Future of Neurorehabilitation—A Review by Seun Orenuga, Philip Jordache, Daniel Mirzai, Tyler Monteros, Ernesto Gonzalez, Ahmed Madkoor, Rahim Hirani, Raj K. Tiwari, Mill Etienne

“…This review highlights key clinical trials and future research directions, emphasizing AI’s transformative potential in improving patient care, rehabilitation, and long-term outcomes for TBI patients.…”
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A Bias Injection Technique to Assess the Resilience of Causal Discovery Methods by Martina Cinquini, Karima Makhlouf, Sami Zhioua, Catuscia Palamidessi, Riccardo Guidotti

“…Our proposal thus provides an essential tool for benchmarking and improving CD algorithms in biased, real-world data settings.…”
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Machine Learning-Driven Innovations in Microfluidics by Jinseok Park, Yang Woo Kim, Hee-Jae Jeon

“…This review investigates the incorporation of machine learning (ML) into the design, fabrication, and application of microfluidic biosensors, emphasizing how ML algorithms enhance performance by improving design accuracy, operational efficiency, and the management of complex diagnostic datasets. …”
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Temporal Attention-Enhanced Stacking Networks: Revolutionizing Multi-Step Bitcoin Forecasting by Phumudzo Lloyd Seabe, Edson Pindza, Claude Rodrigue Bambe Moutsinga, Maggie Aphane

“…The proposed Temporal Attention-Enhanced Stacking Network (TAESN) integrates the complementary strengths of diverse machine learning algorithms while emphasizing critical temporal features, leading to substantial improvements in forecasting accuracy over traditional methods. …”
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SMART Restaurant ReCommender: A Context-Aware Restaurant Recommendation Engine by Ayesha Ubaid, Adrian Lie, Xiaojie Lin

“…While various machine learning algorithms have been developed for recommendation tasks, existing systems still face limitations. …”
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Restrictive Disjoint-Link-Based Bioinspired Routing Protocol for Mobile Ad Hoc Networks by L. J. García Villalba, D. Rupérez Cañas, A. L. Sandoval Orozco, T.-H. Kim

“…The simulation results indicate that AntOR-RDLR improves their predecessors in all analyzed metrics.…”
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Radiological Assessment of Charcot Neuro-Osteoarthropathy in Diabetic Foot: A Narrative Review by Antonio Mascio, Chiara Comisi, Virginia Cinelli, Dario Pitocco, Tommaso Greco, Giulio Maccauro, Carlo Perisano

“…Advances in imaging biomarkers and novel techniques such as diffusion-weighted MRI hold promise for improving early detection and monitoring treatment efficacy. …”
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Real-time monitoring of water quality dynamics using low-cost sensor networks in Lagos lagoon by Idowu Ayisat Aneyo, Mumin Olatunji Oladipo, Funmilayo Victoria Doherty, Julius Osato Ehigie, Adebayo Fasasi Adebari, Abdulwakeel Oluwatobi Atoyebi, Peter Ozomata Balogun, Ambrose Obinna Ikpele

“…Future research should focus on enhancing wireless communication, refining species detection algorithms and improving sensor resilience in harsh aquatic conditions.…”
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Quality monitoring of hybrid welding processes: A comprehensive review by Solomon Habtamu Tessema, Dariusz Bismor

“…In addition to improving the quality of welded joints, this integration paves the way for further developments in welding technology.…”
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How Recent Findings in Electromyographic Analysis and Synergistic Control Can Impact on New Directions for Muscle Synergy Assessment in Sports by Alessandro Scano, Valentina Lanzani, Cristina Brambilla

“…We identified several margins for improvement, which include novel models and updated algorithms: the separation of the EMG components (phasic and tonic) leading repertoires of synergies for motion and holding posture; the choice of multiple synergistic models (spatial/temporal/time-varying and others); the connection of synergies with the task space and the consequent role of non-linearities; the use of computational models and digital twins; and the fields and sports in which synergies can be applied. …”
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Evolution of AI enabled healthcare systems using textual data with a pretrained BERT deep learning model by Yi Jie Wang, Wei Chong Choo, Keng Yap Ng, Ran Bi, Peng Wei Wang

“…Abstract In the rapidly evolving field of healthcare, Artificial Intelligence (AI) is increasingly driving the promotion of the transformation of traditional healthcare and improving medical diagnostic decisions. The overall goal is to uncover emerging trends and potential future paths of AI in healthcare by applying text mining to collect scientific papers and patent information. …”
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Healthcare Economics-Vital Threat Detection System Efficiency: A Business Process Analysis Methodology by Salma Elhag, Amal Alghamdi, Amal Alahmari, Abeer Alharbi

“…The system provides high flexibility and scalability to accommodate a large number of users, improving healthcare quality through proactive monitoring and real-time information. …”
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Multi-Stage Data-Driven Framework for Customer Journey Optimization and Operational Resilience by Tzu-Chien Wang, Ruey-Shan Guo, Chialin Chen, Chia-Kai Li

“…To address these limitations, this study proposes a multi-stage data-driven framework integrating latent Dirichlet allocation (LDA) for behavioral insights, deep learning for predictive modeling, and heuristic algorithms for adaptive decision-making. Empirical validation using Taiwanese financial institution data shows a 15% improvement in predictive accuracy compared to traditional machine-learning models, significantly enhancing customer lifetime value (CLV) predictions and multi-channel resource allocation. …”
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A robust-weighted AMMI modeling approach with generalized weighting schemes by Marcelo B. Fonsêca, Vanda M. Lourenço, Paulo C. Rodrigues

“…This work provides a hybrid framework for genotype selection under diverse environmental conditions, offering breeders a reliable tool for improving stability and adaptability.…”
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AI-Powered Real-time Accessibility Enhancement: A Solution for Web Content Accessibility Issues by Samir Dash

“…Empirical evaluation and case studies demonstrate the efficacy of this solution in improving web accessibility across diverse scenarios.…”
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Adaptation of Mathematical Tools for Scenario Modeling in a Digital Environment of Multilevel Strategic Management by O. M. Pisareva

“…The deepening of the digital transformation process has a significant impact on the functioning of the institutions of the state and society. The improvement of the methodology of strategic planning in the public administration sphere on the digital platform formation basis and the process concept development for a technology of hierarchy management decisions support adapted to the uncertainty of the development environment becomes relevant. …”
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Leveraging AI for Enhanced Operational Risk Management in Sports Events by Jibraili Malak, Rharib Abderrahim, Jibraili Zineb

“…It highlights the major advances brought about by AI, particularly in managing crowd safety, optimising logistics flows, and improving ticketing and procurement systems. However, challenges remain, such as the reliability of the technologies deployed, real-time incident management, and stakeholder resistance to change. …”
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