Victim Verification with the Use of Deep Metric Learning in DVI System Supported by Mobile Application by Zbigniew Piotrowski, Marta Bistroń, Gabriel Jekateryńczuk, Paweł Kaczmarek, Dymitr Pietrow

“…The system, called ID Victim (IDV), is a web application using a mobile app and data server. The DVI (Disaster Victim Identification) procedure, an international standard developed by Interpol, is used. …”
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Marketing Potential of Homemade Food: a New Entrepreneurial Endeavour by Mohammed Muneerali Thottoli, Tif Said Suhail Al Mazroui, Duaa Suleiman Amur Al Hoqani, Maather Mohammed Al-Alawi

“…This research comprises a specific approach to the marketability of homemade food and suggests a unique mobile app for trading homemade food. The data was gathered in Nizwa, Oman, however it could be broadened to encompass more geographic regions, particularly urban areas. …”
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A Novel Computational Framework for Visual Snow Syndrome by Damiano Perri, Osvaldo Gervasi

“…The results of an evaluation questionnaire submitted to volunteers who tested and scored the mobile App and eventually expressed opinions and suggestions are reported. …”
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Usability Assessment of Technologies for Remote Monitoring of Knee Osteoarthritis by Andrea Cafarelli, Angela Sorriento, Giorgia Marola, Denise Amram, Fabien Rabusseau, Herve Locteau, Paolo Cabras, Erik Dumont, Sam Nakhaei, Ake Jernberger, Par Bergsten, Paolo Spinnato, Alessandro Russo, Leonardo Ricotti

“…<italic>Methods:</italic> We recruited eleven patients affected by mild or moderate knee osteoarthritis, eleven caregivers, and eleven clinicians to assess the following technologies: a wristband for monitoring physical activity, an examination chair for measuring leg extension, a thermal camera for acquiring skin thermographic data, a force balance for measuring center of pressure, an ultrasound imaging system for remote echographic acquisition, a mobile app, and a clinical portal software. Specific questionnaires scoring usability were filled out by patients, caregivers and clinicians. …”
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Anti-Diabetic Therapeutic Medicinal Plant Identification Using Deep Fused Discriminant Subspace Ensemble (D2SE) by N. Sasikaladevi, S. Pradeepa, A. Revathi, S. Vimal, Gaurav Dhiman

“…Finally, the model is integrated into a mobile app for robust classification of anti-diabetic therapeutic medicinal plant with real field images.…”
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Heart rate variability biofeedback in a global study of the most common coherence frequencies and the impact of emotional states by Sai Balaji, Nachum Plonka, Mike Atkinson, Malathy Muthu, Minvydas Ragulskis, Alfonsas Vainoras, Rollin McCraty

“…Abstract This global study analyzed data from the largest dataset ever studied in the Heart Rate Variability (HRV) biofeedback field, comprising 1.8 million user sessions collected from users of a mobile app during 2019 and 2020. We focused on HRV Coherence, which is linked to improved emotional stability and cognitive function. …”
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Mobile language app learners’ self-efficacy increases after using generative AI by Audrey K. Kittredge, Elise W. M. Hopman, Ben Reuveni, Danielle Dionne, Cassie Freeman, Xiangying Jiang

“…The purpose of these studies was to investigate self-efficacy development in a generative AI-based language learning experience.MethodsIn two studies, learners (N = 385) of French/Spanish used AI-based features offering conversation practice and on-demand explanations in a mobile app (Duolingo) for 1 month. Before and after using the features, learners reported their self-efficacy and other perceptions.ResultsIn Study 1, learners who had already used the features felt significantly more prepared to use French/Spanish in real-life situations after 1 month, as did learners in Study 2 who used the features for the first time. …”
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Detecting privacy compliance of mobile applications from the perspective of the "minimum necessary" principle by YU Peihou, XU Tianchen, SUN Wenqian, CHEN Yunfang, YU Le, ZHANG Wei

“…To comply with legal requirements for personal data privacy protection, mobile App developers typically disclose their data collection practices to users through privacy policies. …”
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Activating the Mobile User Interface With a Rule-Based Chatbot and EEG-Based Emotion Recognition to Aid in Coping With Negative Emotions by Haneen Reda Banjar, Lujain Alsefri, Aseel Alshomrani, Morouj Hamdhy, Sara Alahmari, Sanaa Sharaf

“…Negative emotions, in particular, pose a challenge due to their complexity and the difficulty in managing them effectively. The “Motus Up” mobile app represents a significant leap in personal mental health management by merging EEG-based emotion recognition with a rule-based chatbot to aid users in managing negative emotions. …”
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Mobile Learning Model of Tour Guide Business in Universities from the Perspective of Distributed Cognition by Chuanhong Lin, Liangju Wang, Yamei Li

“…In the process of online learning, students can realize the convenient learning through mobile APP terminal anytime and anywhere, or they can sit comfortably at the study table through the computer; in the offline activity classroom, students can sit in the classroom of UMU and communicate with teachers face to face, or they can use their cell phones to project their check-in, opinions, test results, etc. to the big screen. …”
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Analysis of LazLive Utilization in Mobile Applications Lazada at Sahoor Time by Angga Guslim, Karen Kusnadi, Irwansyah

“…The results found that (1) Lazada personalized several of its live streaming features to match the feel of the program, and (2) Lazada continues to update its features according to customer needs and feedback. (3) LazLive received a positive response from Lazada app users and contributed to the number of reviews received by the Lazada mobile app in the Google Play Store. All the innovations that Lazada provides through LazLive are expected to increase application consumers and the welfare of sellers.…”
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Indonesia rupiah currency detection for visually impaired people using transfer learning VGG-19 by Raissa Alfatikarani, Laras Suciningtyas, Genta Garuda Bimasakti, Faqisna Putra Mardhatillah, Jessie R. Paragas, Hapsari Peni Agustin Tjahyaningtijas

“…The main advantage of using transfer learning with the VGG-19 model is that it significantly reduces training time while still achieving high accuracy, differentiating this work from previous studies that relied on training from scratch, which is more time-consuming and resource-intensive. Therefore, this mobile app can be categorized as having a fast response time.…”
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AI Machine Learning–Based Diabetes Prediction in Older Adults in South Korea: Cross-Sectional Analysis by Hocheol Lee, Myung-Bae Park, Young-Joo Won

“…Data were collected using a mobile app (Gosufit) that measured depression, stress, anxiety, basal metabolic rate, oxygen saturation, heart rate, and average daily step count. …”
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UX-MAPPER: An automated approach to analyze app store reviews with a focus on UX by Walter T. Nakamura, Edson C. C. de Oliveira, Elaine H. T. de Oliveira, Tayana Conte

“… The mobile app market has increased substantially in the past decades, and the myriad options in the app stores have made users less tolerant of low-quality apps. …”
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Zimbabwean communication agencies by Anna Oksiutycz, Abyshey Nhedzi

“…The agencies provide services such as advertising, graphic design, branding, website development, event management, video production, online marketing, media relations, mobile app development, and even animation. There is a growing trend to use digital platforms of communication, yet radio and print (magazines and newspapers) remain essential communication channels. …”
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Development of measures to assess listening-related effort and fatigue in daily life among hearing aid users: protocol for a quantitative field trial by Trine Flensborg-Madsen, Andreea Micula, Jeppe Høy Konvalinka Christensen, Dorothea Wendt, Hamish Innes-Brown, Ingrid Johnsrude, Matthew Apps, Torsten Dau

“…Ambient acoustics will be captured every 20 s via the participants’ (n=60) personal hearing aids, and the participants will provide self-reported momentary assessments through a mobile app throughout the day. Questionnaires will be used to assess personality traits, fatigue, stress and noise annoyance, and gather relevant background information. …”
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Parents’ use of coercive and indulgent feeding practices for children with avid eating behaviour: an Ecological Momentary Assessment study by Abigail Pickard, Katie L. Edwards, Claire Farrow, Emma Haycraft, Moritz Herle, Clare Llewellyn, Helen Croker, Alice Kininmonth, Jacqueline Blissett

“…Over 10 days, participants completed EMA surveys via a mobile app to report on their mood, stress, feeding goals, and feeding practices during eating occasions. …”
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Interest, uptake, and feasibility trial of a real-life digital health intervention to improve lifestyle in Brazil by Raquel B De Boni, Jurema C Mota, Michael Duncan, Leonardo Linconl, Giovanna Lucieri Alonso Costa, Sofia Pimentel, Kamila P Sales, Fabiana Gaspar, Fernanda Adaes, Felipe B Schuch, Vicent Balanzá-Martinez, Flavio Kapczinski, Renato S Lima

“…Acceptability and usability were measured using the Mobile App Rating Scale (MARS). Adherence was calculated as the percentage of completed challenges over 12 weeks, and retention was tracked at 4, 8, and 12 weeks. …”
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A scoping review of medication self-management intervention tools to support persons with traumatic spinal cord injury. by Lauren Cadel, Stephanie R Cimino, Glyneva Bradley-Ridout, Sander L Hitzig, Tanya L Packer, Lisa M McCarthy, Tejal Patel, Aisha K Lofters, Shoshana Hahn-Goldberg, Chester H Ho, Sara J T Guilcher

“…<h4>Results</h4>Three studies were included in this review, all of which were quantitative. A mobile app and two education-based interventions to address self-management of SCI, medication management, and pain management, respectively, were included. …”
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Comorbidities And Reducing InEquitieS (CARES): Feasibility of self-monitoring and community health worker support in management of comorbidities among Black breast and prostate can... by Laura C. Schubel, Ana Barac, Michelle Magee, Mihriye Mete, Malinda Peeples, Mansur Shomali, Kristen E. Miller, Lauren R. Bangerter, Allan Fong, Christopher Gallagher, Jeanne Mandelblatt, Hannah Arem

“…Participants received a home-monitoring device linked to a mobile app and worked with a CHW over six months to track their blood pressure (BP) and/or blood glucose (BG). …”
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