Exercise & Fitness

Magnetic-Tunnel-Junction-Based Probabilistic Processor for Efficient Embodied Evolution.

In embodied artificial intelligence (AI), evolutionary search enables adaptation in complex and uncertain environments but relies on massive stochastic sampling, which in hardware is typically generated using complementary metal-oxide-semiconductor pseudorandom number generators with significant power and area costs. In this paper, we present a 256-magnetic-tunnel-junction (MTJ)-based probabilisti...

Assessing the Impact of Extreme Climate Events on Cardiovascular Disease in 157 Chinese Cities (2015-2020): A Spatial and Causal Analysis.

INTRODUCTION: Extreme climate events worsen cardiovascular disease burden, exacerbated by rapid aging. Prior studies have linked extreme climate events to cardiovascular disease mortality but have lacked city-level spatial extreme climate event impact data and causal evidence for extreme climate event-related cardiovascular diseases in individuals. This study explored the spatiotemporal patterns o...

The Effect of Age, Sex, and Body Mass Index on Spinopelvic Balance Throughout Childhood and Adolescence: An Automated 3D-Computed Tomography Study of 9,721 Pediatric Patients.

BACKGROUND: Spinopelvic assessment is critical for surgical planning. It is unknown if age, sex, and body mass index (BMI) influence pelvic orientatio...

A covariate aware and dual convolutional network model for stadium crowd flow prediction.

Campus physical activities and sports facility utilization exhibit significant temporal fluctuations, which directly impact the efficiency of teaching...

Genetic algorithm-guided design of garlic-derived ligands targeting the TEN domain of telomerase reverse transcriptase with machine learning-based activity classification.

Human telomerase reverse transcriptase (hTERT) plays a key role in cancer cell immortalization and represents an important therapeutic target for anti...

Forecasting Nasdaq stock exchange time series using an improved recurrent spiking Pi-Sigma artificial neural network.

Due to their flexible model structures and their success in nonlinear modelling, artificial neural networks provide good alternatives for solving the ...

Enhanced Dhole Optimization Algorithm for hyperparameter tuning of a TCN-BiGRU-MHA hybrid architecture for wind power forecasting.

This study presents Temporal Convolutional Network-Bidirectional Gated Recurrent Unit-Multi Head Attention (TCN-BiGRU-MHA) hybrid deep learning model ...

Artificial Intelligence In The Diagnosis And Prediction Of Breast Cancer-Related Lymphedema: A Scoping Review.

INTRODUCTION: Lymphedema is a chronic complication of breast cancer treatments that can significantly impact the well-being of survivors. This scoping...

Generative approaches to kinetic parameter inference in metabolic networks via latent space exploration.

Dynamic (kinetic) models track time-varying metabolite concentrations, fluxes, and enzyme levels, quantifying responses to genetic and environmental p...

AI in design education: Factors affecting students' professional learning adaptability.

Against the backdrop of accelerated reconstruction of the design-education ecosystem by artificial intelligence, this study focuses on the core issue ...

Robust prediction of Listeria monocytogenes, Listeria innocua and aerobic spoilage bacteria growth in food systems using Multilayer Perceptron Artificial Neural Networks.

Spoilage microorganisms and pathogenic bacteria can negatively impact food safety and stability, leading to potential health risks and economic losses...

Use of Machine Learning to Identify Markers of Risk for Fragile X-Associated Tremor/Ataxia Syndrome: A Preliminary Analysis.

OBJECTIVE: The objective of this study was to examine whether machine learning has the capacity to prospectively identify and predict the emergence of...

Artificial intelligence in cancer survivorship: evaluating ChatGPT's performance in rehabilitation-related queries.

PURPOSE: This study aimed to evaluate the performance of ChatGPT in responding to patient-centered queries related to cancer rehabilitation. It examin...

Evidence-based action plan for integrating artificial intelligence in an academic medical centre-a multidisciplinary approach.

INTRODUCTION: As the effectiveness of artificial intelligence (AI) in enhancing various facets of healthcare delivery becomes more apparent, it is ant...

Predictive Model for Mild Autonomous Cortisol Secretion in Patients Evaluated in Artificial Intelligence-Driven Adrenal Incidentaloma Clinic.

BACKGROUND: Mild autonomous cortisol secretion (MACS) is present in approximately 20% to 50% of adrenal incidentalomas. These patients do not exhibit ...

Machine Learning Using Preoperative Patient Factors Can Predict the Severity of Pain Following Primary Total Hip Arthroplasty.

BACKGROUND: Persistent postoperative pain is a challenge in total hip arthroplasty (THA), yet a lack of accurate predictive tools exists for this outc...

The application of large language models in orthopedic postgraduate education: potentials, challenges, and future prospects.

With the widespread integration of artificial intelligence (AI), orthopedics postgraduate education is transitioning into the intelligent era. Large l...

Cardiopulmonary exercise testing before lung resection surgery: still indicated? Evaluating predictive utility using machine learning.

RATIONALE: Despite significant advances in patient care and outcomes, criteria for cardiopulmonary exercise testing (CPET) in risk stratification guid...

Simplified and accurate approach to sleep disorder prediction using body composition metrics: a development and validation study.

Predicting the risk of sleep disorders such as insomnia, obstructive sleep apnea (OSA), and comorbid insomnia and sleep apnea (COMISA) typically requi...

Using technology to support children with dyscalculia in pre-primary and primary school: insights, challenges and opportunities.

PURPOSE: Developmental Dyscalculia (DD) is a specific neurodevelopmental learning disability that significantly impairs an individual's ability to lea...