Results 141 to 150 of about 225,722 (343)

Usability of a gamified antibiotic resistance awareness mobile application: A qualitative evaluation

IET Networks, EarlyView., 2022
The purpose of this study is to reveal the findings from the usability evaluation of an antibiotic resistance awareness app (SEDAR) app and present the necessary critical revisions made to improve the usability further. This study adopted guerrilla testing, observation, and retrospective probing methods to evaluate the usability of the SEDAR app ...
Ummul Hanan Mohamad, Intan Nadiah Abdul Hakim, Mahdi Ali‐Akbari   +2 more
wiley   +1 more source

Rakshak: Post-Disaster Management through an Android Mobile Application

, 2023
Ayush Roy, Devansh Mehta
openalex   +2 more sources

Speech Biomarkers From Smartphone Calls Track Progression in REM Sleep Behavior Disorder and Parkinson's Disease

Annals of Neurology, EarlyView.
Objective This 24‐month longitudinal study involving isolated rapid eye movement sleep behavior disorder (iRBD), early‐stage Parkinson's disease (PD), and matched healthy control subjects aimed to assess whether acoustic speech features from real‐world smartphone calls provide passive progressive biomarkers in synucleinopathies.
Michal Šimek, Tereza Tykalová, Michal Novotný, Vojtěch Illner, Tomáš Kouba, Martin Šubert, Pavel Sovka, Jan Švihlík, Evžen Růžička, Karel Šonka, Petr Dušek, Jan Rusz   +11 more
wiley   +1 more source

AI voice journaling for future language teachers: A path to well‐being through reflective practices

British Educational Research Journal, EarlyView.
Abstract This study aimed to explore the perceived impact of using an AI‐powered voice journaling app in overcoming the challenges and stressors encountered by senior students enrolled in teaching practicum at an English Language Teaching Bachelor's programme.
Bora Demir, Duygu Özdemir
wiley   +1 more source

A detection method for android application security based on TF-IDF and machine learning. [PDF]

PLoS One, 2020
Yuan H, Tang Y, Sun W, Liu L.
europepmc   +1 more source

Fitspiration, Thinspiration, Body Positivity, and Body Neutrality Contents on Image‐Based Social Media: Associations With Body Image, Mood, Self‐Esteem, and Disordered Eating Behavior in Women With and Without Self‐Reported Eating Disorders—An Ecological Momentary Assessment Study

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective This study examined everyday exposure to fitspiration, thinspiration, body positivity, and body neutrality content on image‐based social media and its associations with body image, mood, self‐esteem, and disordered eating behavior using ecological momentary assessment (EMA) in women with and without eating disorders.
Kristine Schönhals, Christopher Lalk, Silja Vocks   +2 more
wiley   +1 more source

Application of D2D Communication System Based on Android and JXTA on the Internet of Vehicles

, 2020
Cao Lunyuan
openalex   +1 more source

A call for ethical, equitable, and effective artificial intelligence to improve care for all people with epilepsy: A roadmap. A report by the ILAE Global Advocacy Council and Big Data Commission

Epilepsia, EarlyView.
Abstract The artificial intelligence (AI) revolution is upon us. It will inevitably form a central component of epilepsy workflows and patient advocacy. Therefore, it behooves us as health care providers to ride the crest of this wave and guide its direction for the benefit of all people with epilepsy.
Colin B. Josephson, Sandor Beniczky, Spiros Denaxas, Akio Ikeda, Lara Jehi, Angelina Kakooza Mwesige, Nathalie Jette, Gabriel Davis Jones, Philippe Ryvlin, Arjune Sen, Chahnez Charfi Triki, Gabriella Waters, Alla Guekht, J. Helen Cross   +13 more
wiley   +1 more source

Plant Monitoring Using a Web-View-Based Android Application as a Realization of the Implementation of the Smart Agriculture Concept

, 2023
Supriyanto Supriyanto, Rohmat Rohmat
openalex   +2 more sources

Facial expression recognition for emotion perception: A comprehensive science mapping

Ibrain, EarlyView.
Facial expression recognition (FER) has emerged as a pivotal interdisciplinary research domain, bridging computer science, psychology, neuroscience, and medicine. By mapping the FER scientific knowledge graph, the study aimed to explore the technological evolution and forecast future application trends in this field.
Hou‐Ming Kan, Li‐Ping Chen, Yu Zhang, Hao‐Yuan Hong, Ying‐Ying Qin, Yu‐Guo Cui, Yu‐Bo Mao, Yan‐Zhi Cheng, Zhe Lu, Hong‐Yan Ni, Xiao‐Tong Ding   +10 more
wiley   +1 more source