Exercise & Fitness

Artificial neural networks computing for heat transfer flow of hybrid nanofluid in rectangular geometry.

This study explores the complex dynamics of heat transfer in hybrid nanofluid flow, focusing on the unsteady squeezing motion of Graphene-FeO/water confined between two parallel plates under the influence of a magnetic field. The lower plate is assumed to be stretchable and permeable, allowing for suction/injection, while the upper plate induces a squeezing effect by moving toward the lower plate....

The utility of an artificial intelligence model based on decision tree and evolution algorithm to evaluate steatotic liver disease in a primary care setting.

Many ways of classifying steatotic liver disease (SLD) with metabolic conditions have been proposed. Thus, SLD-related variables were verified using a decision tree. We tested if the suggested components of the actual classification (metabolic dysfunction-associated steatotic liver disease, MASLD) are also present in young and middle-aged adults. In a cross-sectional study involving 6,839 adults (...

Does restrictive anorexia nervosa impact brain aging? A machine learning approach to estimate age based on brain structure.

Anorexia nervosa (AN), a severe eating disorder marked by extreme weight loss and malnutrition, leads to significant alterations in brain structure. T...

A Mortality Risk Prediction Model for Septic Shock in Patients Aged ≥50: Role of Norepinephrine Index and Procalcitonin.

BACKGROUND: Septic shock is a high-mortality syndrome, particularly in patients aged 50 and older. Predicting mortality in this population is challeng...

Effects of the lumbar support function of wearable robot (Bot Fit) on sitting position.

BACKGROUND: Sedentary lifestyles can lead to musculoskeletal disorders, but proper sitting posture, particularly maintaining a slight anterior pelvic ...

Designing diverse and high-performance proteins with a large language model in the loop.

We present a protein engineering approach to directed evolution with machine learning that integrates a new semi-supervised neural network fitness pre...

Machine learning-based prediction of respiratory depression during sedation for liposuction.

Procedural sedation is often performed by non-anesthesiologists in various settings and can lead to respiratory depression. A tool that enables early ...

The effects of learning experience on college students' deep english learning: a study of the chain mediation effect of motivation and strategy.

This study focuses on the impact of learning experience on college students' deep learning of English and the chain-mediated effects of motivation and...

Energy consumption analysis and prediction in exercise training based on accelerometer sensors and deep learning.

This study aims to enhance the accuracy and efficiency of energy consumption prediction during exercise training and address the limitations of existi...

Data-driven diabetes mellitus prediction and management: a comparative evaluation of decision tree classifier and artificial neural network models along with statistical analysis.

Diabetes Mellitus is a chronic metabolic disorder affecting a substantial global population leading to complications such as retinopathy, nephropathy,...

Semi-supervised prediction of protein fitness for data-driven protein engineering.

Protein fitness prediction plays a crucial role in the advancement of protein engineering endeavours. However, the combinatorial complexity of the pro...

Predictive model establishment for forward-head posture disorder in primary-school-aged children based on multiple machine learning algorithms.

BACKGROUND: Forward head posture frequently occurs among primary school children, potentially due to prolonged sedentary behavior associated with acad...

A Novel and Modern Calculator to Predict Vaginal Birth after Cesarean Delivery.

Counseling patients who are considering a trial of labor after cesarean (TOLAC) is a challenging task given the risks and benefits of either approach....

Combining flow virometry with tree-based machine learning models for rapid virus particle estimation in different wastewater matrices.

Enumerating virus particles (VPs) at different stages of the wastewater treatment process or along the distribution network is essential for ensuring ...

What are we learning with Yoga? Mapping the scientific literature on Yoga using a vector-text-mining approach.

The techniques used in yoga have roots in traditions that precede modern science. Research shows that yoga enhances quality of life and well-being, po...

Radiomic and proteomic signatures of body mass index on brain ageing and Alzheimer's-like patterns of brain atrophy.

BACKGROUND: The impact of high body mass index (BMI) states and associated proteomic factors on brain ageing and Alzheimer's disease (AD) remains uncl...

Using Large Language Models to Enhance Exercise Recommendations and Physical Activity in Clinical and Healthy Populations: Scoping Review.

BACKGROUND: Regular exercise recommendations (ERs) and physical activity (PA) are crucial for the prevention and management of chronic diseases. Howev...

Type 2 Diabetes in Taiwan: Unmasking Influential Factors Through Advanced Predictive Modeling.

Type 2 diabetes (T2D) is influenced by lifestyle, genetics, and environmental conditions. By utilizing machine learning techniques, we can enhance th...

Novel machine learning models for the prediction of acute respiratory distress syndrome after liver transplantation.

Early prediction of acute respiratory distress syndrome (ARDS) after liver transplantation (LT) facilitates timely intervention. We aimed to develop a...

Comparison of seven machine learning models in hypertension classification using photoplethysmographic and anthropometric data.

This study presents an algorithm for classifying individuals into four hypertension categories (healthy, prehypertension, Stage 1, and Stage 2) using ...