Results 131 to 140 of about 879,596 (317)

Artificial Intelligence and Mental Well‐Being in Adult Education: Implications for Practice and Professional Responsibility

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Mental well‐being is central to adult learner success, yet many adult education institutions lack capacity to provide timely and accessible support. This article examines how artificial intelligence (AI) can strengthen mental health–adjacent supports in adult and continuing higher education, with attention to professional practice and ...
Adam L. McClain, Thomas Wade
wiley   +1 more source

Validity of a Wearable Digital Insole for Assessing Gait ON and OFF in Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Gait impairment is a distinctive symptom of Parkinson's disease that negatively impact mobility. We assessed the validity of wearable digital insoles against a validated reference gait analysis system for measuring select gait characteristics in patients with Parkinson's disease. Methods A comparative analysis between digital insoles
Deborah A. Hall, Kimberly Kwei, Rolando J. Acosta, Bharatkumar Koyani, Erin Robertson, Pratyush Rai, Roland Barge, Emily Timm, Nicollette L. Purcell, Natasha Desai, Dhanesh Patel, Ana‐Maria Visoiu‐Knapp, Samuel Stuart, Rinol Alaj, Matthew F. Wipperman, Oren Levy, Joan A. O'Keefe   +16 more
wiley   +1 more source

Near‐Surface Maximum Wind Speed Prediction Using XGBoost Model Integrated Bayesian Optimization Algorithm and Based on K‐Nearest Neighbor Mutual Information Feature Selection

Meteorological Applications
Guangxi, located along China's southern coast, is prone to typhoons and features complex terrain, making wind speed forecasting challenging. Accurate prediction of near‐surface maximum wind speed is crucial for improving wind energy utilization and ...
Xiaoyan Huang, Ying Huang, Huasheng Zhao, Yushuang Wu, Li He   +4 more
doaj   +1 more source

Predicting the Trends of the Egyptian Stock Market Using Machine Learning and Deep Learning Methods

Computational Journal of Mathematical and Statistical Sciences
The prediction of stock price movements has remained a significant area of interest for researchers and investors, driven by the dynamic nature of financial markets and persistent economic fluctuations.
Heba Elsegai, Hanem Salah Al-Mutawaly, Hisham M Almongy   +2 more
doaj   +1 more source

Vestibular Patient Journey: Insights From Vestibular Disorders Association (VeDA) Registry

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Vestibular symptoms impose a high burden of disability. Understanding real‐world diagnostic and treatment pathways can identify care gaps and guide interventions. We aimed to characterize symptom profiles, diagnostic trends, provider involvement, and treatment patterns in vestibular disorders.
Ali Rafati, Sami I. Nassar, Shaun A. Nguyen, Patricia L. Gerend, Michael C. Schubert, Michael T. Teixido, Frederick A. Godley, Joel A. Goebel, Cynthia A. Ryan, Habib G. Rizk, Amir Kheradmand   +10 more
wiley   +1 more source

Genomic selection for resistance to one pathogenic strain of Vibrio splendidus in blue mussel Mytilus edulis

Frontiers in Genetics
IntroductionThe blue mussel is one of the major aquaculture species worldwide. In France, this species faces a significant threat from infectious disease outbreaks in both mussel farms and the natural environment over the past decade.
Munusamy Ajithkumar, Jonathan D’Ambrosio, Marie-Agnès Travers, Romain Morvezen, Lionel Degremont   +4 more
doaj   +1 more source

Epilepsy‐Associated Variants of a Single SCN1A Codon Exhibit Divergent Functional Properties

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Pathogenic variants in SCN1A, which encodes the voltage‐gated sodium channel NaV1.1, are associated with multiple epilepsy syndromes exhibiting a range of clinical severity. SCN1A variants are reported in different syndromes, including Dravet syndrome, which is associated with loss‐of‐function, whereas neonatal/infantile‐onset ...
Lanie N. Liebovitz, Christopher H. Thompson, Linda C. Laux, Alfred L. George Jr.   +3 more
wiley   +1 more source

How to get the most out of phylogenetic imputation without abusing it

Methods in Ecology and Evolution
Phylogenies are viewed as potentially powerful resources to predict missing values in trait datasets, but they are often misused. Critically, many of the imputed values that completely or partially rely on phylogenetic information are trusted without ...
Rafael Molina‐Venegas
doaj   +1 more source

Location‐Specific Hematoma Volume Predicts Early Neurological Deterioration in Supratentorial ICH

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Early neurological deterioration (END) adversely affects outcomes in patients with intracerebral hemorrhage (ICH). This study aimed to determine the location‐specific hematoma volumes for END in supratentorial ICH patients. Methods We retrospectively analyzed supratentorial ICH patients presenting from two prospective cohorts.
Zuoqiao Li, Guilin Meng, Zijie Wang, Xiao Hu, Jing Cheng, Chu Chen, Tiannan Yang, Jiaxin Luo, Zizhen Meng, Xueyun Liu, Qi Li   +10 more
wiley   +1 more source

Refractive Prediction Accuracy Using Intraoperative Aberrometry versus Barrett True-K Formula Following Corneal Refractive Surgery [PDF]

Nicole R Fram,1,2 John Davidson,2 Xiaolin Gu,3 Raiju J Babu,3 Michael Breen3 1Advanced Vision Care, Los Angeles, CA, USA; 2Stein Eye Institute, UCLA, Los Angeles, CA, USA; 3Alcon Vision LLC, Fort Worth, TX, USACorrespondence: Nicole R Fram, Advanced ...
Gu X, Fram NR, Breen M, Babu RJ, Davidson J   +4 more
core   +1 more source