Exercise & Fitness

Development of a Virtual Robot Rehabilitation Training System for Children with Cerebral Palsy: An Observational Study.

This paper presents the development of a robotic system for the rehabilitation and quality of life improvement of children with cerebral palsy (CP). The system consists of four modules and is based on a virtual humanoid robot that is meant to motivate and encourage children in their rehabilitation programs. The efficiency of the developed system was tested on two children with CP. The effect of us...

Core reference ontology for individualized exercise prescription.

"Exercise is medicine" emphasizes personalized prescriptions for better efficacy. Current guidelines need more support for personalized prescriptions, posing scientific challenges. Facing those challenges, we gathered data from established guidelines, databases, and articles to develop the Exercise Medicine Ontology (EXMO), intending to offer comprehensive support for personalized exercise prescri...

Prediction of talent selection in elite male youth soccer across 7 seasons: A machine-learning approach.

This study aimed to investigate the relative importance of parameters from several domains associated to both selecting or de-selecting players with r...

Short-Term Intermittent Normobaric Hypoxia Combined with Light Exercise Improves Acclimatization of Cardiorespiratory Function in Inactive Adults.

BACKGROUND: Un-acclimatized individuals may experience acute altitude illness. Thus, the current study investigated the impact of short-term intermitt...

AI performance assessment in blended learning: mechanisms and effects on students' continuous learning motivation.

INTRODUCTION: Blended learning combines the strengths of online and offline teaching and has become a popular approach in higher education. Despite it...

XGBoost-based nomogram for predicting lymph node metastasis in endometrial carcinoma.

This study aims to construct and optimize risk prediction models for lymph node metastasis (LNM) in endometrial carcinoma (EC) patients, thus improvin...

How to enhance employee engagement in the AI era: An fsQCA-based study.

BackgroundThe ongoing fourth industrial revolution, characterized by the integration of intelligent machines, presents a transformative shift in the n...

The roles of cognitive dissonance and normative reasoning in attributions of minds to robots.

As a wide variety of intelligent technologies become part of everyday life, researchers have explored how people conceptualize agents that in some way...

Predicting 30-day reoperation following primary total knee arthroplasty: machine learning model outperforms the ACS risk calculator.

The ACS risk calculator (ARC) has proven less effective in predicting patient-specific risk of early reoperation after primary total knee arthroplasty...

Effect of a dietary nutraceutical "STRUCTURE-Joint" on response of horses to intra-articular challenge with IL-1: implications for tissue adaptation to stress.

The purpose was to determine local (articular) and systemic effects of intra-articular interleukin-1 in horses supplemented with a dietary PUFA supple...

Estimation of heart dose in left breast cancer radiotherapy: Assessment of vDIBH feasibility using the supervised machine learning algorithm.

BACKGROUND AND OBJECTIVE: The volunteer deep inspiration breath hold (vDIBH) technique is used to reduce the heart dose in left breast cancer radiothe...

A pilot evaluation of school-based LEGO® robotics therapy for autistic students.

There is emerging evidence that LEGO® therapy is an effective way of supporting younger autistic children develop their communication and social skill...

Explainable exercise recommendation with knowledge graph.

Recommending suitable exercises and providing the reasons for these recommendations is a highly valuable task, as it can significantly improve student...

DS-MS-TCN: Otago Exercises Recognition With a Dual-Scale Multi-Stage Temporal Convolutional Network.

The Otago Exercise Program (OEP) represents a crucial rehabilitation initiative tailored for older adults, aimed at enhancing balance and strength. De...

Can people with epilepsy trust AI chatbots for information on physical exercise?

PURPOSE: This study aims to evaluate the similarity, readability, and alignment with current scientific knowledge of responses from AI-based chatbots ...

Prediction of prolonged mechanical ventilation in the intensive care unit via machine learning: a COVID-19 perspective.

Early recognition of risk factors for prolonged mechanical ventilation (PMV) could allow for early clinical interventions, prevention of secondary com...

Editorial Commentary: Anterior Cruciate Ligament Patients Must Be Provided With Both Motivation and Tools to Continue Physical Therapy, Supervised or Independently, Beyond the Early Recovery Phase.

Given the current American health insurance environment, many patients do not access physical therapy in the mid and later stages of recovery from ant...

Teaching design students machine learning to enhance motivation for learning computational thinking skills.

The integration of computational thinking (CT) to enhance creativity in design students has often been underexplored in design education. While design...

Physiological and Psychological Differences Between 20% Grade Incline Walking and Level-Grade Jogging at Isocaloric Intensity.

High-incline walking is a relatively new trend with little comparative information. This study compared physiological and psychological differences be...

Simulation and prediction of sulfamethazine migration, transformation and risk diffusion during cross-media infiltration from surface water to groundwater driven by dynamic water level: Machine learning coupled HYDRUS-GMS model.

Seasonal water level fluctuations in rivers significantly influenced the cross-media migration, transformation, and risk diffusion of antibiotics from...