Moving beyond an Addiction Framework for Phubbing: Unraveling the Influence of Intrinsic Motivation, Boredom, and Online Vigilance by Mirko Duradoni, Tommaso Raimondi, Federica Buttà, Andrea Guazzini

“…., social media addiction and mobile phone addiction) and personality traits (e.g., neuroticism and conscientiousness). …”
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Primary school children’s oral hygiene knowledge assessed with different educational methods: a cross-sectional study by Canan Bayraktar Nahir, Alem Coşgun, Necibe Damla şahin, Halenur Altan

“…However, effects of gender, and tablet/mobile phone use, respectively, were not statistically significant (p = 0.694, p = 0.641). …”
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Antecedents of Intention to Adopt Mobile Health (mHealth) Application and Its Impact on Intention to Recommend: An Evidence from Indonesian Customers by Gilbert Sterling Octavius, Ferdi Antonio

“…Mobile health (mHealth) applications gain popularity due to the increasing number of mobile phone usage and internet penetration, which might help some of Indonesia’s medical issues. …”
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Network analysis of interactions of rumination and anxiety on smartphone dependence symptoms by Sen sen Zhang, Sen sen Zhang, Shao hong Yong, Shao hong Yong, Jia tai Chen

“…Therefore, we used the network analysis approach to identify the connections at a micro level to provide possible interventions for reducing SPD symptoms.MethodsUsing symptom-level network analysis, we used the ruminative response scale-10, the generalized anxiety disorder scale-7, and the mobile phone addiction index scale-17 to investigate Chinese preservice teachers (Mage = 21.1, N = 1160). …”
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Digital health for early psychosis in Ghana: patient and caregiver needs and preferences by Anna Larsen, Joel Agorinya, Alexa Beaulieu, Emmanuel Quame Sottie, Benjamin Buck, Kwadwo Obeng, Bill Kyeremeh, Fredrick Kwame Dogbe, Muhammed Izudeen Iddrisu, Phil Emil Okwei Dowuona, Olivia Oteba Abbey Tetteh, Omari Boakye Emmanuel, Angela Ofori-Atta, Dror Ben-Zeev

“…The majority (80%) of early psychosis patients and their caregivers expressed interest in digital mental health for early psychosis and had access to a mobile phone (91%) and necessary mobile infrastructure. …”
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Optimization Analysis of Advertising Information Resource Allocation in View of the Dynamic Game Model by Jun Han

“…This part of the function serves the downstream systems, such as mobile phone clients and PC. Starting from the requirements’ analysis, this study introduces the platform design and the analysis method logic, shows the implementation of the platform, and then analyzes and describes the test process from the aspects of function and performance. …”
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A Study of the AR Solutions Used in the Dangerous Goods Acceptance Process in Airport Cargo Warehouses by Anna Jodejko-Pietruczuk, Agnieszka A. Tubis, Franciszek J. Restel

“…Research method: The study has been conducted by analysing the DGA process while considering the support of AR technology, the development of AR applications for AR goggles and a mobile phone, and their practical testing. Results: There has been a model of the DGA process has been developed in the paper as well as decision algorithms, helping operators controlling DGs before a flight, have been identified. …”
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Novel Node Centrality-Based Efficient Empirical Robustness Assessment for Directed Network by Xiaolong Deng, Hao Ding, Yong Chen, Cai Chen, Tiejun Lv

“…Then, with the abundant experiments on the synthetic signed network and real-life networks derived from directed online social media and directed human mobile phone calling network, it has been proved that our ITG and IMpv based on directed social network robustness and node vulnerability assessment method is more accurate, efficient, and faster than several traditional centrality methods such as degree and betweenness. …”
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Problematic screen media use in children and adolescents attending child and adolescent psychiatric services in a tertiary care center in North India by Venkatesh Raju, Akhilesh Sharma, Ruchita Shah, Ravikanth Tangella, Sana Devi Yumnam, Jyoti Singh, Jaivinder Yadav, Sandeep Grover

“…The most common screen media used was television (n = 121; 57.1%) followed by the mobile phone (n = 81; 38.2%). The average screen time was 3.14 hours, with a range of 0.5–7 hours, and more than two-third of children and adolescents used screen gadgets for more than the recommended duration. …”
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Refining Sparse Cell-ID Trajectory of Public Service Vehicles by Spatiotemporal Modelling by Kemin Zhu, Junli Liu, Xianfeng Song, Weifeng Wang, Hao Chen

“…Mobile phone data have become a critical data source for transportation research. …”
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Diagnosing skin neglected tropical diseases with the aid of digital health tools: A scoping review. by Ewelina Julia Barnowska, Anil Fastenau, Srilekha Penna, Ann-Kristin Bonkass, Sophie Stuetzle, Ricky Janssen

“…Most digital tools were found to be mobile-phone based, such as mobile Health (mHealth) apps, store-and-forward tele-dermatology, and Short Messaging Service (SMS) text-messaging. …”
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Predicting home delivery and identifying its determinants among women aged 15–49 years in sub-Saharan African countries using a Demographic and Health Surveys 2016–2023: a machine... by Adem Tsegaw Zegeye, Binyam Chaklu Tilahun, Makida Fekadie, Eliyas Addisu, Birhan Wassie, Berihun Alelign, Mequannet Sharew, Nebebe Demis Baykemagn, Abdulaziz Kebede, Tirualem Zeleke Yehuala

“…Association rules findings showed that inadequate antenatal care visits, marital status married, no education, mobile phone, television, electricity, poor wealth index, infrequent television viewing, and rural residence were predictor of home delivery. …”
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Engagement in HIV Medical Care and Technology Use among Stimulant-Using and Nonstimulant-Using Men who have Sex with Men by Keith J. Horvath, Adam W. Carrico, Jane Simoni, Edward W. Boyer, K. Rivet Amico, Andy E. Petroll

“…Few significant differences were found in online social networking or mobile phone use between stimulant-using and non-stimulant-using MSM, even when stratified by engagement in HIV care. …”
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Acceptability and Attitude towards a Mobile-Based Home Exercise Program among Stroke Survivors and Caregivers: A Cross-Sectional Study by Amreen Mahmood, Vevita Blaizy, Aparajita Verma, Joel Stephen Sequeira, Dola Saha, Selvam Ramachandran, N. Manikandan, Bhaskaran Unnikrishnan, John M. Solomon

“…A logistic regression was performed to determine the effects of age, gender, and mobile phone on acceptability. Results. Ninety-two percent of caregivers and 90% of patients showed willingness to opt for mobile-based intervention. …”
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Film watching habits of journalism students from the perspective of the theory of utilities and satisfaction by Vujović Marija, Obradović Neven

“…The results o f the research show that watching movies is a frequent activity for journalism students, that they most often watch movies online, on a computer and/or mobile phone, that most journalism students go to the cinema with friends, and that journalism students cite entertainment and socializing with friends, partners or family as the most common reason for going to the cinema. …”
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Reliability of a Low-Cost Inertial Measurement Unit (IMU) to Measure Punch and Kick Velocity by Lukas Pezenka, Klaus Wirth

“…Utilizing a low-cost mobile phone in conjunction with the PhyPhox app, acceleration data was collected and analyzed using a custom algorithm. …”
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Exploring digital health interventions for pregnant women at high risk for pre-eclampsia and eclampsia in low-income and-middle-income countries: a scoping review by Emily Seto, Anam Shahil Feroz, Noreen Afzal

“…Both of these purposes used mobile phone applications as interface to facilitate data collection, decision making, and communication between health workers and pregnant women. …”
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Prevalence and Associated Risk Factors of Childhood Obesity and Overweight in Erbil City, Kurdistan, Iraq: A Household Survey by Sabah Shareef Mohammed, Sherzad Abdulahad Shabu

“…On the other hand, the children's habit of using electronic devices, smartphones, and other devices was significant, either using their mobile phone or their parent's phone. In conclusion, in Erbil city, the prevalence rate of obesity and overweight was dramatically increased, as well as the lifestyle factor that contributed to the development of these conditions, especially among those children exposed to multi-screen devices. …”
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أنماط الافادة من شبکات التواصل الاجتماعیة و المهنیة لدى عینة من أعضاء هیئة التدریس بالجامعات المصریة... by د. اسماء محمد السید

“…There is a phenomenon of Iqbal to use mobile phone as a means to enter thesocial and professional networks.5. high frequency on social and vocational networks with increasing time spenton each visit. …”
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Real-Time Plant Health Detection Using Deep Convolutional Neural Networks by Mahnoor Khalid, Muhammad Shahzad Sarfraz, Uzair Iqbal, Muhammad Umar Aftab, Gniewko Niedbała, Hafiz Tayyab Rauf

“…It is now feasible to diagnose diseases using mobile devices as a result of the increase in mobile phone usage globally and recent advancements in computer vision due to deep learning. …”
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