Work Force

Integrating AI design tools into traditional design workflows: A study on collaborative tool usage willingness based on the Push-Pull-Mooring framework.

In the context of rapid AI development, designers are increasingly integrating AI tools into traditional workflows, forming a collaborative rather than substitutive mode of tool usage. Grounded in the Push-Pull-Mooring (PPM) framework, this study investigates the key factors influencing designers' willingness for collaborative tool usage-defined as the intention to integrate AI tools while retaini...

Soil microbial diversity, stability, and function are enhanced by cover cropping: A machine learning-based pooled analysis of Mississippi agroecosystems.

Cover cropping has emerged as a pivotal strategy to enhance soil health and microbiome functionality across diverse agroecosystems. However, the extent to which cover crops reshape microbial diversity, composition, functional capacity, and ecological stability remains insufficiently understood, particularly within heterogenous environments like Mississippi. In this study, we conducted a comprehens...

Fairness-aware K-means clustering in digital mental health for higher education students: a generalizable framework for equitable clustering.

OBJECTIVES: Higher education students, particularly those from underrepresented backgrounds, experience heightened levels of anxiety, depression, and ...

Rumination is more important than other variables in the association between social media use and depression: A multi-method study.

The relationship between social media use (SMU) and mental health, particularly depression, remains inconclusive. The present study recruited 925 coll...

Artificial Intelligence to Improve Patient-Physician Communication in Surgery.

Effective patient-physician communication is a cornerstone of surgical care, yet increasing clinical complexity and time constraints often limit oppor...

Machine learning and causal inference applied to the gut metagenome-metabolome axis reveals a link between neonatal jaundice and autism spectrum disorder.

UNLABELLED: Neonatal jaundice (NJ) might increase the risk of autism spectrum disorder (ASD) in children. This study examined whether alterations in t...

Automatic forward model parameterization with Bayesian inference of conformational populations.

To quantify how well theoretical predictions of structural ensembles agree with experimental measurements, we depend on the accuracy of forward models...

Multiple paths to recovery after the Permian-Triassic mass extinction.

The current biodiversity landscape results from hundreds of millions of years of evolution, yet the accumulation of biodiversity has been punctuated b...

Diffusion of responsibility: Patient moral judgments of generative AI-informed clinical decisions.

BACKGROUND: As Generative Artificial Intelligence (GAI) becomes increasingly embedded into complex medical decision-making, it is anticipated that pat...

Integration of inter-simple sequence repeats with machine learning approach for diversity analysis and authentication of Iranian cotton cultivars.

Cotton (Gossypium hirsutum L.) has experienced extensive breeding in recent decades, leading to a narrowed genetic base that presents challenges for a...

Altered gut microbiome function in ADHD: More Prevotella, less vitamin B12 biosynthesis, and beneficial modulation by synbiotic treatment.

The effect of psychostimulant medication in ADHD on the gut microbiome remains unknown. Oral Synbiotic 2000, comprising multiple lactic acid bacteria ...

Beyond a single mode: GAN ensembles for diverse medical data generation.

BACKGROUND AND OBJECTIVE: The advancement of generative AI in medical imaging faces the trilemma of simultaneously achieving high fidelity and diversi...

Atmospheric pollution is associated with microbial community stability and functional diversity in river ecosystems.

Air pollution, which poses a global threat to human and ecosystem health, has been extensively monitored by governments and researchers worldwide. How...

Technology and Innovation in Care Transitions: Imagining the Future of Postdischarge Care.

Care transitions remain high-risk periods, with up to 28% of patients experiencing adverse events (AEs) or readmissions within 30 days of discharge. T...

Closed Loop Computer-based Artificial Intelligence Model "Maverik" to Help Diagnose and Differential Diagnoses of Childhood Onset Chronic Nonbacterial Osteomyelitis: Pilot Study.

BACKGROUND: Childhood-onset chronic nonbacterial osteomyelitis (CNO) is an inflammatory bone disease that has become better defined in the last 2 deca...

Understanding and Addressing Bias in Artificial Intelligence Systems: A Primer for the Emergency Medicine Physician.

Artificial intelligence (AI) tools and technologies are increasingly being integrated into emergency medicine (EM) practice, not only offering potenti...

The systemic roots of Chinese nurse burnout: A mixed-methods study using natural language processing of social media data.

BACKGROUND: Burnout, a global occupational health challenge, is particularly prevalent among Chinese nurses. Traditional research methods have limitat...

The use of large language models in clinical documentation: A scoping review.

BACKGROUND: Clinical documentation is essential for safe, high-quality care but has become increasingly complex, contributing to clinician burnout. La...

Artificial Intelligence and Its Applications in Oral Medicine-Part 1.

Oral medicine is the dental specialty dedicated to the oral health care of medically complex patients and the diagnosis and management of medically re...

Evolution and design shape protein dynamics in LOV domains - spanning picoseconds to days.

Light-sensitive proteins allow organisms to perceive and respond to their environment, and have diversified over billions of years. Among these, Light...