98%
921
2 minutes
20
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.parkreldis.2023.105482 | DOI Listing |
Light Sci Appl
September 2025
State Key Laboratory of Flexible Electronics, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications (NUPT), Nanjing, 210023, China.
As the demand for edge platforms in artificial intelligence increases, including mobile devices and security applications, the surge in data influx into edge devices often triggers interference and suboptimal decision-making. There is a pressing need for solutions emphasizing low power consumption and cost-effectiveness. In-sensor computing systems employing memristors face challenges in optimizing energy efficiency and streamlining manufacturing due to the necessity for multiple physical processing components.
View Article and Find Full Text PDFZhonghua Jie He He Hu Xi Za Zhi
September 2025
Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory He
Cough is a common symptom of many respiratory diseases, and parameters such as frequency, intensity, type and duration play important roles in disease screening, diagnosis and prognosis. Among these, cough frequency is the most widely applied metric. In current clinical practice, cough severity is primarily assessed based on patients' subjective symptom descriptions in combination with semi-structured questionnaires.
View Article and Find Full Text PDFZhonghua Jie He He Hu Xi Za Zhi
September 2025
Pulmonary and Critical Care Medicine, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China.
To explore the feasibility and accuracy of predicting respiratory tract infections (RTIs) using physiological data obtained from consumer-grade smartwatches. The study used smartwatches and paired mobile applications to continuously collect physiological parameters while participants slept. A personalized baseline model was established using multi-day data, followed by the construction of RTIs risk prediction algorithm based on deviations from physiological parameter trends.
View Article and Find Full Text PDFJMIR Res Protoc
September 2025
Department of Psychiatry, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Republic of Korea.
Background: Autism spectrum disorder (ASD) and social communication disorder (SCD) are neurodevelopmental disorders characterized by deficits in social communication that hinder social adaptation, with limited pharmacological options for therapy owing to the absence of identified biomarkers. Individuals with ASD or SCD require lifelong interventions tailored to their development stages. However, most existing interventions primarily focus on early childhood, leaving adolescents relatively underserved.
View Article and Find Full Text PDFJ Med Internet Res
September 2025
College of Nursing, Yonsei University, Seoul, Republic of Korea.
Background: Mobile health (mHealth) interventions can be effective for people living with HIV, who are sensitive to privacy breach risks. Understanding the perceived experiences of intervention participants can provide comprehensive insights into potential users and predict intervention effectiveness. Thus, it is necessary to plan engagement measurement and consider ways to enhance engagement during the app development phase.
View Article and Find Full Text PDF