Mobile phones form a ubiquitous graphics platform; over half of the world population uses them. This special issue presents solutions that overcome some of the inherent limitations of these compact computing devices and make use of the fact that they are available at all times, not just at your desk.
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ShaderNN: A Lightweight and Efficient Inference Engine for Real-time Applications on Mobile GPUs.
Neurocomputing (Amst)
January 2025
Department of Electrical and Computer Engineering, University of Maryland at College Park, 8223 Paint Branch Dr, College Park, MD, 20740, USA.
Inference using deep neural networks on mobile devices has been an active area of research in recent years. The design of a deep learning inference framework targeted for mobile devices needs to consider various factors, such as the limited computational capacity of the devices, low power budget, varied memory access methods, and I/O bus bandwidth governed by the underlying processor's architecture. Furthermore, integrating an inference framework with time-sensitive applications - such as games and video-based software to perform tasks like ray tracing denoising and video processing - introduces the need to minimize data movement between processors and increase data locality in the target processor.
View Article and Find Full Text PDFDigital knowledge translation tools for sexual and reproductive health information to adolescents: an evidence gap-map.
Ther Adv Reprod Health
December 2024
University of Adelaide, Adelaide, SA, Australia.
Background: Digital knowledge translation (KT) interventions play a crucial role in advancing adolescent sexual and reproductive health (ASRH). Despite the extensive literature on their effectiveness, there's a lack of synthesized evidence on the efficacy of digital KT tools for adolescent ASRH globally.
Objectives: This review aimed to systematically identify and map existing empirical evidence on digital KT tools targeting ASRH outcomes and identify research gaps.
A novel smartphone application for bladder cancer management (BCM App): Design, development, and usability evaluation.
J Educ Health Promot
October 2024
Health Information Management Research Center, Kashan University of Medical Sciences, Kashan, Iran.
Background: Providing clinical guidelines to clinicians using innovative technologies seems practical and useful. This study aimed to design, develop, and evaluate a smartphone application to assist urologists in managing bladder cancer (BCM App).
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Unlabelled: is delighted to present a graphic depiction of the 2023 JRN Veronica Bishop Paper of the Year award winners' paper. This paper won the award for its potential to impact policy, practice and/or research. We hope you enjoy this graphic paper and rereading the original work.
View Article and Find Full Text PDFDeveloping Components of an Integrated mHealth Dietary Intervention for Mexican Immigrant Farmworkers: Feasibility Usability Study of a Food Photography Protocol for Dietary Assessment.
JMIR Form Res
December 2024
School of Nursing, University of Rochester Medical Center, Rochester, NY, United States.
Article Synopsis
- - The study investigates the challenges faced by Mexican immigrant farmworkers regarding access to health services and the prevalence of diet-related health issues, highlighting the need for culturally sensitive health interventions.
- - Researchers developed a mobile app for a 14-day dietary assessment using food photography, aiming to gather data on the participants' eating habits while accommodating low literacy levels.
- - Results from 16 participants showed a total of 1475 food photos taken, with a slight decrease in daily photo counts from the first week to the second, indicating trends in adherence to the protocol.
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