Adolescent Smartphone Overdependence in South Korea: A Place-Stratified Evaluation of Conceptually Informed AI/ML Modeling
Int J Environ Res Public Health. 2025 Oct 2;22(10):1515. doi: 10.3390/ijerph22101515. ABSTRACT Smartphone overdependence among South Korean adolescents, affecting nearly 40%, poses a growing public health concern, with usage patterns varying by regional context. Leveraging conceptually informed AI/ML models, this study (1) develops a high-performing low-risk screening tool to monitor disease burden, (2) leverages AI/ML […]
Digital Devices Use and Sleep in Adolescents: An Umbrella Review
Int J Environ Res Public Health. 2025 Oct 2;22(10):1517. doi: 10.3390/ijerph22101517. ABSTRACT This umbrella review provides a comprehensive synthesis of the available evidence on the relationship between digital device use and adolescent sleep. It summarizes results from systematic reviews and meta-analyses, presenting the magnitude and direction of observed associations. A total of seven systematic reviews, […]
A Deep Learning-Based Sensing System for Identifying Salmon and Rainbow Trout Meat and Grading Freshness for Consumer Protection
Sensors (Basel). 2025 Oct 11;25(20):6299. doi: 10.3390/s25206299. ABSTRACT Seafood fraud, such as mislabeling low-cost rainbow trout as premium salmon, poses serious food safety risks and damages consumer rights. To address this growing concern, this study develops a deep learning-based, smartphone-compatible sensing system for fish meat identification and salmon freshness grading. By providing consumers with real-time, […]
“I Haven’t Had Anyone Talk to Me About Phone Use, At All”: Primiparous Mothers’ Conversations About Smartphone Use While Caregiving
Int J Environ Res Public Health. 2025 Oct 17;22(10):1580. doi: 10.3390/ijerph22101580. ABSTRACT Our smartphone habits have implications for our mental health, including new mothers’ experience of loneliness. For a baby, whose developmental trajectory will be directly impacted by their attachment relationship, a parent’s unconscious smartphone use is likely to be of lifelong consequence given the […]
Effect of Walking Speed on the Reliability of a Smartphone-Based Markerless Gait Analysis System
Sensors (Basel). 2025 Oct 20;25(20):6474. doi: 10.3390/s25206474. ABSTRACT Quantitative gait analysis is essential for understanding motor function and guiding clinical decisions. While marker-based motion capture (MoCap) systems are accurate, they are costly and require specialized facilities. OpenCap, a markerless alternative, offers a more accessible approach; however, its reliability across different walking speeds remains uncertain. This […]
Ultrasound and Unsupervised Segmentation-Based Gesture Recognition for Smart Device Unlocking
Sensors (Basel). 2025 Oct 17;25(20):6408. doi: 10.3390/s25206408. ABSTRACT A smart device unlocking scheme based on ultrasonic gesture recognition is proposed, allowing users to unlock their devices by customizing the unlock code through gesture movements. This method utilizes ultrasound to detect multiple consecutive gestures, identifying micro-features within these gestures for authentication. To enhance recognition accuracy, an […]
A Feature Engineering Method for Smartphone-Based Fall Detection
Sensors (Basel). 2025 Oct 21;25(20):6500. doi: 10.3390/s25206500. ABSTRACT A fall is defined as an event in which a person inadvertently comes to rest on the ground, floor, or another lower level. It is the second leading cause of unintentional death worldwide, with the elderly population (aged 65 and above) at the highest risk. In addition […]
Smartphone-Integrated Ratiometric Fluorescent Sensing Platform Based on Carbon Dots for One-Step Detection of Glyphosate
Luminescence. 2025 Nov;40(11):e70328. doi: 10.1002/bio.70328. ABSTRACT An ability to effectively detect glyphosate residues in food and the environment on-site remains a challenge. Herein, we developed a ratiometric fluorescent sensing platform based on blue fluorescent carbon dots (B-CDs) and red carbon dots (R-CDs) for rapid, visual, and quantitative detection of glyphosate. Although B-CDs, which were functionalized […]
Effectiveness of mHealth-based vision screening on uptake of referral services among children of government schools in Rawalpindi, Pakistan: study protocol for a randomised controlled trial
BMJ Open. 2025 Oct 29;15(10):e096970. doi: 10.1136/bmjopen-2024-096970. ABSTRACT INTRODUCTION: Vision screening in educational settings holds significant importance for early detection of visual impairment. A key challenge is the low uptake of referral services which significantly limits the effectiveness of screening. Mobile health (mHealth) is one intervention that is rapidly being adopted in Pakistan with more […]
Evaluating antimicrobial resistance and clinical outcomes in surgical ICU using a machine learning perspective: a retrospective observational study
BMC Infect Dis. 2025 Oct 28;25(1):1434. doi: 10.1186/s12879-025-11900-8. ABSTRACT BACKGROUND: Antimicrobial resistance (AMR) poses a critical threat to patient outcomes in intensive care units (ICUs), complicating treatment regimens and elevating mortality. This study aimed to assess the prevalence and patterns of AMR, antibiotic utilization, and clinical outcomes among postoperative patients in a surgical ICU in […]
