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Testing a Web-Based Interactive Comic Tool to Decrease Obesity Risk Among Racial and Ethnic Minority Preadolescents: Randomized Controlled Trial.
JMIR Form Res
January 2025
Graduate School of Public Health Policy, City University of New York, New York, NY, United States.
Background: Childhood obesity prevalence remains high, especially in racial and ethnic minority populations with low incomes. This epidemic is attributed to various dietary behaviors, including increased consumption of energy-dense foods and sugary beverages and decreased intake of fruits and vegetables. Interactive, technology-based approaches are emerging as promising tools to support health behavior changes.
View Article and Find Full Text PDFThe Effect of Nursing Students' Artificial Intelligence Anxiety on Their Knowledge of Robotic Surgery: The Mediating Role of Individual Innovativeness.
J Eval Clin Pract
February 2025
Surgical Nursing Department, Faculty of Health Sciences, Afyonkarahisar Health Sciences University, Afyonkarahisar, Turkey.
Aims: This study aims of determine the mediating role of individual innovativeness in the effect of nursing students' artificial intelligence anxiety on their robotic surgery knowledge level.
Design: This study was cross-sectional type.
Methods: It was conducted with 391 students.
A Retrospective, Single-Center Assessment of Changes in Pain, Agitation, and Delirium Management Before and During the COVID-19 Pandemic.
Crit Care Explor
January 2025
All authors: Department of Pharmacy, Brigham and Women's Hospital, Boston, MA.
Importance: Recent studies have found an association between COVID-19 infection and deeper sedation in mechanically ventilated patients, raising concerns about the impact of the COVID-19 pandemic on pain, agitation, and delirium (PAD) management practices overall.
Objectives: This study aimed to assess differences in PAD management in patients without COVID-19 infection in pre- and peri-COVID-19 pandemic timeframes.
Design, Setting, And Participants: This was a single-center, retrospective, pre-/post-cohort analysis of mechanically ventilated adult patients without COVID-19 infection admitted to an ICU in Boston, MA.
Speech Technology for Automatic Recognition and Assessment of Dysarthric Speech: An Overview.
J Speech Lang Hear Res
January 2025
Centre for Language Studies, Radboud University, Nijmegen, the Netherlands.
Purpose: In this review article, we present an extensive overview of recent developments in the area of dysarthric speech research. One of the key objectives of speech technology research is to improve the quality of life of its users, as evidenced by the focus of current research trends on creating inclusive conversational interfaces that cater to pathological speech, out of which dysarthric speech is an important example. Applications of speech technology research for dysarthric speech demand a clear understanding of the acoustics of dysarthric speech as well as of speech technologies, including machine learning and deep neural networks for speech processing.
View Article and Find Full Text PDFIon Pair Chromatography for Endogenous Metabolite LC-MS Analysis in Tissue Samples Following HGH Resolution Untargeted Acquisition.
Methods Mol Biol
January 2025
Bioscience, Research and Early Development, Oncology, AstraZeneca, Cambridge, Cambridgeshire, UK.
A protocol for the preparation of tissue extracts for the targeted analysis ca. 150 polar metabolites, including those involved in central carbon metabolism, is described, using a reversed phase ion pair U(H)PLC-MS method. Data collection enabled in high-resolution mass spectrometry detection provides highly specific and sensitive acquisition of metabolic intermediates with wide range physicochemical properties and pathway coverage.
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