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Hybrid combination of advanced oxidation process with membrane technology for wastewater treatment: gains and problems.
Nanotechnology
January 2025
University of Arkansas, Fayetteville, AR, Fayetteville, Arkansas, 72701-4002, UNITED STATES.
Over the past few decades, significant efforts have been dedicated to advancing technologies for the removal of micropollutants from water. Achieving complete pure water with a single treatment process is challenging and nearly impossible. One promising approach among various alternatives is adopting hybrid technology, which is considered as a win-win technology.
View Article and Find Full Text PDFParental Experiences of Administering Pediatric for Sleep and Appetite in Early School-Aged Children With Attention-Deficit/Hyperactivity Disorder: Qualitative Study in Hong Kong.
JMIR Pediatr Parent
January 2025
School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China.
Background: Previous research suggested that parent-administered pediatric tuina could improve symptoms of attention-deficit/hyperactivity disorder (ADHD), such as sleep quality and appetite.
Objective: This study aimed to explore the experiences and perceptions of parents administering pediatric tuina to school-aged children with ADHD in Hong Kong.
Methods: This qualitative study was embedded in a pilot randomized controlled trial on parent-administered pediatric tuina for improving sleep and appetite in school-aged children diagnosed with ADHD.
The Research Agenda for Perinatal Innovation and Digital Health Project: Human-Centered Approach to Multipartner Research Agenda Codevelopment.
JMIR Hum Factors
January 2025
Women's Health Research Institute, Vancouver, BC, Canada.
Background: Digital health innovations provide an opportunity to improve access to care, information, and quality of care during the perinatal period, a critical period of health for mothers and infants. However, research to develop perinatal digital health solutions needs to be informed by actual patient and health system needs in order to optimize implementation, adoption, and sustainability.
Objective: Our aim was to co-design a research agenda with defined research priorities that reflected health system realities and patient needs.
Relationship Among Macronutrients, Dietary Components, and Objective Sleep Variables Measured by Smartphone Apps: Real-World Cross-Sectional Study.
J Med Internet Res
January 2025
International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tsukuba, Ibaraki, Japan.
Background: Few studies have explored the relationship between macronutrient intake and sleep outcomes using daily data from mobile apps.
Objective: This cross-sectional study aimed to examine the associations between macronutrients, dietary components, and sleep parameters, considering their interdependencies.
Methods: We analyzed data from 4825 users of the Pokémon Sleep and Asken smartphone apps, each used for at least 7 days to record objective sleep parameters and dietary components, respectively.
User-Oriented Requirements for Artificial Intelligence-Based Clinical Decision Support Systems in Sepsis: Protocol for a Multimethod Research Project.
JMIR Res Protoc
January 2025
Institute for Health Care Management and Research, University of Duisburg-Essen, Essen, Germany.
Background: Artificial intelligence (AI)-based clinical decision support systems (CDSS) have been developed for several diseases. However, despite the potential to improve the quality of care and thereby positively impact patient-relevant outcomes, the majority of AI-based CDSS have not been adopted in standard care. Possible reasons for this include barriers in the implementation and a nonuser-oriented development approach, resulting in reduced user acceptance.
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