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BackgroundPolicies to restrict population mobility are a commonly used strategy to limit the transmission of contagious diseases. Among measures implemented during the COVID-19 pandemic were dynamic stay-at-home orders informed by real-time, regional-level data. California was the first state in the U.S. to implement this novel approach; however, the effectiveness of California's four-tier system on population mobility has not been quantified.MethodsUtilizing data from mobile devices and county-level demographic data, we evaluated the impact of policy changes on population mobility and explored whether demographic characteristics explained variability in responsiveness to policy changes. For each California county, we calculated the proportion of people staying home and the average number of daily trips taken per 100 persons, across different trip distances and compared this to pre-COVID-19 levels.ResultsWe found that overall mobility decreased when counties moved to a more restrictive tier and increased when moving to a less restrictive tier, as the policy intended. When placed in a more restrictive tier, the greatest decrease in mobility was observed for shorter and medium-range trips, while there was an unexpected increase in the longer trips. The mobility response varied by geographic region, as well as county-level median income, gross domestic product, economic, social, and educational contexts, the prevalence of farms, and recent election results.ConclusionsThis analysis provides evidence of the effectiveness of the tier-based system in decreasing overall population mobility to ultimately reduce COVID-19 transmission. Results demonstrate that socio-political demographic indicators drive important variability in such patterns across counties.

In today's communication era, social media and sharing data through the world wide web plays a substantial role. As per a recent survey, 80% of communication these days is carried out through the Internet. Moreover, the explosive growth of technology has transformed mobile devices into indispensable tools in the computing world. In short, the significant progress of technology has made accessing and modifying data quick and more straightforward. However, the ease of usage of multimedia over the net has opened a door for many attacks and piracy acts, where security and authentication play a vital role. This paper presents a novel video watermarking approach using hybrid discrete cosine transforms for copyright protection and authentication. The main objective of this method is to develop robust and efficient watermarking techniques for videos on mobile devices. Mobile devices function within the limitation of restricted storage and battery life. Therefore, there is heightened emphasis on the analysis of power consumption and execution time during the design of mobile applications. Our preliminary work draws a clear conclusion on the efficient video watermarking approach required for mobile devices concerning power consumption and execution time. In addition, we have illustrated a comparative analysis of existing works on multimedia security and authentication with the proposed watermarking technique on video. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the literature regarding the practices to manage the hidden curriculum for the best use of mobile devices in clinical practice. Study Design: Systematic Review. Setting: Articles selected for review from Canada, United Kingdom, Japan, Ireland and Saudi Arabia. Period: July to Dec 2023. Methods: Following databases were searched: PubMed (12,579), the Cochrane Library (348), scopus (84), PsycInfo (21), CINAHL (220), Google Scholar (1,414). Primary variable (Evaluation of the development of clinical skills made possible by mobile devices) and secondary variable (to determine how satisfied students are with their mobile learning experience). The quality of study was critically appraised according the Critical Appraisal Skills Programme (CASP) scale. Results: The research findings indicate that using mobile devices into medical education has a variety of effects. Positive instructor perspectives, more student involvement, and higher learning outcomes were frequently reported by participants. Medical students' growth of technological competency and readiness for the changing healthcare landscape have been found to be accelerated by mobile devices. The integration of virtual simulations and applications that are interactive has had a positive impact on the development of clinical abilities. Positive effects included themes of individualization, collaborative learning communities, and a better understanding of patient-centered care. On the other hand, issues including the digital divide, diversions, and security threats were recognized as obstacles that called for a careful strategy to reduce any negative effects. When everything is considered, the findings confirm the revolutionary potential of mobile device incorporation in medical education and highlight how it helps to create a dynamic, technologically advanced learning environment for prospective medical professionals. Conclusion: This study provides insight on how adding mobile devices into medical education has a revolutionary effect. The research indicates enhanced learning outcomes, increased student involvement, and altering faculty perspectives through insightful stories and compelling arguments. [ABSTRACT FROM AUTHOR]

To describe the use of mobile devices after acquired brain injury (ABI), from the perspectives of injured individuals and significant others, and to examine factors associated with mobile device use for cognition. Cross-sectional study with 50 adults with moderate/severe traumatic brain injury or stroke (42% women; mean of 50.7 years old, 4.6 years post-ABI), and 24 significant others. Participants completed questionnaires on mobile technology, cognitive functioning and the impact of technology. Of 45/50 adults with ABI who owned a smartphone/tablet, 31% reported difficulties in using their device post-injury, 44% had received support, and 46% were interested in further training. Significant others reported motor/visual impairments and the fear of becoming dependent on technology as barriers for mobile device use, and 65% mentioned that their injured relative needed additional support. Mobile device use for cognition was common (64%), predicted in a regression model by lower subjective memory and more positive perception of the psychosocial impacts of technology, and also associated in univariate analyses with younger age, lower executive functioning, and greater use of memory strategies. Using mobile devices for cognition is common post-ABI but remains challenging for a significant proportion. Developing training approaches may help supporting technology use. Using mobile electronic devices (smartphones and tablets) is common after acquired brain injury (ABI) but is challenging for a significant proportion of individuals. After the ABI, close to 50% of individuals receive support in using their mobile device, mostly from family members and friends, but rarely from rehabilitation clinicians or technology specialists. In a sample of 50 adults with ABI, more frequent use of mobile devices to support cognition was associated with poorer subjective memory and executive functioning, greater use of memory strategies, more positive perception of the psychosocial impacts of technology, and younger age. [ABSTRACT FROM AUTHOR]

The mobile revolution has influenced students' preferences for various educational platforms in the new digital era, especially regarding young learners' utilization of mobile devices such as smartphones, iPads, and other gadgets for mobile learning (m-learning). Because of this, universities that implement learning management systems (LMS) through standard web-based platforms should explore the potential for integrating mobile devices and technologies into m-learning platforms. Through the utilization of this technology, LMS can facilitate continuous user interaction and enhance user awareness of any revisions made to the material. To reach the majority of LMS users, mobile applications must be developed for all major mobile platforms. By utilizing the Web View API, this research combined native mobile and web technologies to develop the mobile application. This strategy was adopted in anticipation of the requirement to create and maintain the application across multiple mobile platforms. It was anticipated that this approach would reduce the time needed for creation, maintain a consistent interface, and enable the use of platform-specific features. It also makes sense to provide mobile device access to some of the LMS virtual classroom's functions. The K-means algorithm is used for analyzing course material and learning. Nevertheless, achieving this goal might not be an easy process. To enable this form of connection between the LMS and the m-learning applications, this chapter assesses the challenges involved in achieving that goal and presents various common interchange designs and related research and development efforts. [ABSTRACT FROM AUTHOR]

Copyright of Revista Tecnología, Ciencia & Educación is the property of Centro de Estudios Financieros SL and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This research presents the methodology that was used to monitor two industrial processes within a PROFINET Industrial Communication Network, client/server, through intelligent devices. In order to achieve this, the functionality of the hydraulic equipment was first verified by measuring the dielectric absorption and drawing the characteristic curve of the system's pump motor group. Second, flow control valves, pressure regulating valves, directional valves and solenoid valves were selected and installed. Third, the control board was designed and built. Fourth, the operation sequence was programmed to automate the hydraulic processes in the teaching modules. Fifth, the Profinet Industrial Network was designed and configured where the S7-1500 PLC is the server, the S7-1200 PLCs are the clients and monitoring is carried out through the TP 700 HMI and 4 mobile devices. As a result, a SCADA system was obtained that generates production reports, historical behavior of the process variables, as well as alarm reports. Finally, technological integration between general-purpose devices in an industrial system was achieved. [ABSTRACT FROM AUTHOR]

Using the revised bioecological model, we examined whether three broad factors predict adolescents' nonacademic media use, with the exception of TV: (a) process factors that highlight a child's fundamental and proximal interactional activities (e.g., eating meals together); (b) person factors (e.g., age, sex, ethnicity); and (c) contextual factors that delineate a child's immediate physical and social environments (such as family, school, and community). By analyzing a nationally representative cohort (N = 22,454) of U.S. parents/primary caregivers who completed surveys regarding their children, we identified specific process-person-contextual factors that predict adolescents' nonacademic screen time. Factors that positively predict screen time include, e.g., age, sex, ethnicity, BMI, anxiety. Those that negatively predict screen time include, e.g., sleep, physical activity, father's physical health, mother's mental health, eating meals together, sharing ideas with parents, the child's active participation in school activities and community service, school safety, and emotional support for parents. Further, we found one age-related developmental process; the beneficial impact of meal sharing on media use was more pronounced in younger adolescents. This underscores the importance of exploring not only individual characteristics but also the broader process and contextual factors that shape adolescents' nonacademic media use. Prior research on adolescents' screen time primarily examined risk or protective factors at the individual level. In contrast, understanding the nuanced interplay among individual, familial, and broader contextual factors in shaping nonacademic media consumption is limited. We identified a comprehensive but understudied group of process, personal, and contextual factors and their intricate interactions that are pivotal in adolescents' media use. We also made critical theoretical contributions regarding family functioning in the promotion of healthy media practices. Our results have important implications for effective and holistic interventions that support healthy media-use practices in adolescents. These include the promotion of adolescents' self-regulatory skills, healthy family lifestyles at home, and diverse activities at school and within the community. [ABSTRACT FROM AUTHOR]

Background: The number of accidents due to distracted pedestrian is on the rise and many governments and institutions are enacting public policies which restrict texting while walking. However, pedestrians do more than just texting when they use their mobile devices on the go. Objective: Exploring pedestrian multitasking, this paper aims to examine the effects of mobile device task type on pedestrian performance outcomes. Method: We performed two studies in lab simulations where 78 participants were asked to perform different tasks on a mobile device (playing a game, reading, writing an email, texting one person, group texting) while performing a pedestrian visual discrimination task while either standing or walking on a treadmill. Behavioral performance as well as neurophysiological data are collected. Results: Results show that compared to a no-phone control, multitasking with any of the tasks on a mobile device leads to poor performance on a pedestrian visual discrimination task. Playing a game is the most cognitively demanding task and leads to the greatest performance degradation. Conclusion: Our studies show that multitasking with a mobile device has the potential to negatively impact pedestrian safety, regardless of task type. However, the impacts of different mobile device tasks are not all equivalent. More research is needed to tease out the different effects of these various tasks and to design mobile applications which effectively and safely capture pedestrians' attention. Application: Public policy, infrastructure, and smart technologies can be used to mitigate the negative effects of mobile multitasking. A more thorough understanding of mobile device task-specific factors at play can help tailor these counter-measures to better aid distracted pedestrians. [ABSTRACT FROM AUTHOR]

The paper discusses the importance of biometric verification systems in mobile environments and highlights the challenges and strategies used to overcome them in order to ensure the security of mobile devices. Emphasis is placed on evaluating the impact of illumination on the performance of biometric verification techniques and how to address this challenge using image processing techniques. The importance of accurate and reliable data collection to ensure the accuracy of verification processes is also discussed. The paper also highlights the importance of improving biometric verification techniques and directing research toward developing models aimed at reducing risks and ensuring the security of mobile devices. The paper provides a comprehensive overview of the important research conducted in this field between 2015 and 2023, with a focus on analyzing the technologies used, the challenges they face, and the strategies used to overcome them. The paper concludes by mentioning future trends and the need for continued research and development in the field of biometric verification on mobile devices to ensure improved security and reliability in the mobile environment. [ABSTRACT FROM AUTHOR]

Copyright of Cuadernos del Centro de Estudios de Diseño y Comunicación is the property of Cuadernos del Centro de Estudios de Diseno y Comunicacion and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Phubbing is a behaviour that can be defined as the act of ignoring interlocutors in a social interaction while using a mobile phone (Chotpitayasunondh & Douglas, 2016). This paper provides a thorough examination of the existing literature, specifically addressing the antecedents and outcomes of phubbing behavior. The current study seeks to provide a comprehensive understanding of the literature review in relation to phubbing behaviour, specifically in the workplace. A thorough examination was carried out on 63 articles from the SSCI database, encompassing the years 2013 to 2024. The results of the comprehensive literature review suggest that there are two different dimensions of a phubbing behavior along with the two categories i.e., antecedents and outcomes. This paper, which draws on a review of research spanning a decade, adds to our knowledge of phubbing behavior in the workplace and stresses the need to address this issue for the sake of interpersonal relationship along with organizational effectiveness and employee performance. [ABSTRACT FROM AUTHOR]

A consumption of 46.9 million tons of processed tomatoes was reported in 2022 which is merely 20% of the total consumption. An increase of 3.3% in consumption is predicted from 2024 to 2032. Tomatoes are also rich in iron, potassium, antioxidant lycopene, vitamins A, C and K which are important for preventing cancer, and maintaining blood pressure and glucose levels. Thus, tomatoes are globally important due to their widespread usage and nutritional value. To face the high demand for tomatoes, it is mandatory to investigate the causes of crop loss and minimize them. Diseases are one of the major causes that adversely affect crop yield and degrade the quality of the tomato fruit. This leads to financial losses and affects the livelihood of farmers. Therefore, automatic disease detection at any stage of the tomato plant is a critical issue. Deep learning models introduced in the literature show promising results, but the models are difficult to implement on handheld devices such as mobile phones due to high computational costs and a large number of parameters. Also, most of the models proposed so far work efficiently for images with plain backgrounds where a clear demarcation exists between the background and leaf region. Moreover, the existing techniques lack in recognizing multiple diseases on the same leaf. To address these concerns, we introduce a customized deep learning-based convolution vision transformermodel. The model achieves an accuracy of 93.51% for classifying tomato leaf images with plain as well as complex backgrounds into 13 categories. It requires a space storage of merely 5.8 MB which is 98.93%, 98.33%, and 92.64% less than state-of-the-art visual geometry group, vision transformers, and convolution vision transformermodels, respectively. Its training time of 44 min is 51.12%, 74.12%, and 57.7% lower than the above-mentioned models. Thus, it can be deployed on (Internet of Things) IoT-enabled devices, drones, or mobile devices to assist farmers in the real-time monitoring of tomato crops. The periodicmonitoring promotes timely action to prevent the spread of diseases and reduce crop loss. [ABSTRACT FROM AUTHOR]

Copyright of Egyptian Journal of Information Sciences is the property of Beni Suef University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Mobile forensics, particularly in the Android ecosystem, is a rapidly evolving field that demands continuous advancements to address the growing complexity and diversity of mobile devices. This article emphasizes the importance of developing techniques for digitally analyzing Android smartphones, which dominate the smartphone market. The primary objective of this research is to contribute to the development of effective forensic investigation strategies tailored specifically for Android mobile devices, providing insights into the tools and methods used for this purpose. The objective of this study is to improve the precision and effectiveness of forensic examinations pertaining to Android mobile phones. It discusses the fundamental functionality of mobile devices as a source of digital evidence and provides an overview of tools and methodologies for collecting and analyzing such evidence. The importance of comprehending the hardware and software architecture of Android handsets in order to choose the right forensic tools is also highlighted in the article. Furthermore, it proposes future enhancements for Andriller, a popular digital forensic tool, to improve its effectiveness in Android forensic investigations. These enhancements include advancements in data extraction techniques, compatibility with new Android versions, support for additional data types, integration with advanced analysis methods, and addressing identified limitations. Additionally, the paper stresses the need for robust methodologies for conducting cloud forensics on Android devices, particularly in the context of data stored in cloud storage services. The proposed work aims to enhance the capabilities of Andriller and improve the efficiency of digital forensic investigations on Android devices. [ABSTRACT FROM AUTHOR]

The objective of this research is to demonstrate mobile applications that can be useful for the teaching-learning of the subject of Web Design and Development. It is important to explore different options and adapt the use of these tools to the specific needs of the students and the curriculum. The study was carried out at the Mocache Educational Unit with students in the third year of high school. The selected sample consisted of 32 students. The results achieved were highly significant, thus demonstrating that through mobile applications students can learn web design and development. [ABSTRACT FROM AUTHOR]

This paper provides an alternative lens of viewing digital technologies and networked spaces in outdoor intercultural learning, by introducing the Taoist philosophy of Ziran (nature) and Wuwei (inaction). The application of digital technology to outdoor learning has become prevailing and triggered critical debates and discussions among scholars and practitioners. The majority of the perspectives are, however, oriented in Western ideologies, and very rarely has any research considered this issue in the context of outdoor intercultural learning. A mini-ethnographic study was conducted to reconcile the nature-technology dichotomy during an EU-exchange sail-training voyage. Methodological implications are provided for conducting fieldwork in outdoor learning research, in line with the Ziran-Wuwei principles. The findings suggest that educators and facilitators follow the dialectical, relational, and contextual orientations to manage the (non)use of digital devices to maximise learners' outdoor experiential engagement and reflections. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to examine the effects of iPad distribution on all teachers in a university and its application in teaching and student learning at home via wireless network during the coronavirus (COVID-19) pandemic. The attitude towards the use of iPads, behavioural intentions and the impact on the quality of teaching were evaluated. Design/methodology/approach: This study used the technology acceptance model to explore the use of iPad smart mobile devices in multimedia teaching applications by university teachers. Furthermore, it used the structural equation modelling (SEM) for data analysis to explore the causal relationship between model variables, and it aimed to examine the causal relationship between variables to verify the theory. The SEM analysis included the following two stages: measurement model analysis and structural model analysis. Findings: The "Internet information environment" had a significant positive impact on "perceived usefulness" and "perceived ease of use". Amongst them, perceived usefulness had a significant positive effect on the use attitude, and use attitude had a significant positive effect on behaviour intention. Originality/value: The findings confirmed that a good information network environment will directly and positively affect the perceived usefulness and the ease of use of iPad smart devices, of which the perceived usefulness will further positively affect teachers' perception of iPad smart devices. The attitude and behaviour of using such devices will in turn positively affect the quality of teaching. The results of the quality performance evaluation can be referenced further by manufacturers and scholars regarding the use of iPad smart devices for work at home during the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

The usage of smartphones is increasingly widespread, and the usefulness of mobile applications as low-vision aids is evident but not thoroughly examined. In this study, we surveyed people with low vision to assess the usability of common, preloaded mobile applications, to evaluate the usage of typical assistive technologies of smartphones, and to measure the usefulness, and usability of recent software advancements that can be used as visual aids. We invited 134 low-vision individuals to participate, and 45 of them met the eligibility criteria and completed an in-person survey. The eligibility criteria were as follows: aged 18 years or older and mentally competent, visual acuity worse than 0.4 logMAR with best-corrected glasses in the better-seeing eye, ownership of a smartphone and familiarity with visual assistive technologies. All testing scenarios were carried out using the participants' smartphones, either with Android or iOS operating systems. Participants reported the usefulness and ease of use for common visual display enhancements (i.e., text size, bold text, increased contrast, inverted colors, and dark mode), audio feedback capabilities, four primary preloaded apps (Dialer, Clock, Calculator, and Calendar), and four usage scenarios that serve as low-vision aids (magnify with camera, hard-copy text-to-speech, voice typing, and voice commands). Participants also indicated whether they could use the apps or execute the scenarios independently. The Dialer and Clock apps, text enhancements, camera magnification, and voice typing were rated as highly useful, while the Calendar application received lower ratings. Most of the selected apps or services were rated as easy to use, with lower ratings recorded for the Calendar and Select to Speak ones. Considering the positive results across all options, this collection of apps and services proved useful for all age groups, regardless of gender, technological familiarity, or education. The feedback received in this study can help towards improving the everyday lives of low-vision people as well as informing the design of apps and assistive features, guiding future research and development to enhance visual accessibility on mobile computing devices. [ABSTRACT FROM AUTHOR]

Background Female genital schistosomiasis (FGS) is a chronic gynaecological disease affecting girls and women in sub-Saharan Africa (SSA), caused by the parasite Schistosoma (S.) haematobium. FGS is associated with sexual dysfunction, reproductive tract morbidity and increased prevalence of HIV and cervical precancer lesions. Source of data Key peer-reviewed published literature. Areas of agreement FGS screening and diagnosis require costly equipment and specialized training, seldom available in resource-limited settings. FGS surveillance is not included in wider schistosomiasis control strategies. The interplay of FGS with other SRH infections is not fully understood. Integration of FGS within sexual and reproductive health (SRH) control programmes needs to be explored. Areas of controversy There are no standardized methods for individual or population-based FGS screening and diagnosis, hindering accurate disease burden estimates and targeted resource allocation. Treatment recommendations rely on public health guidelines, without rigorous clinical evidence on efficacy. Growing points Integrating FGS screening with SRH programmes offers an opportunity to reach at-risk women with limited access to healthcare services. Home-based self-sampling coupled with handheld colposcopes operated by primary healthcare workers show promise for FGS diagnosis and surveillance at scale. Areas timely for developing research There is growing interest in decentralizing strategies for FGS screening and diagnosis. The accurate predictions on the 'cost-effectiveness' of these approaches will determine their affordability and feasibility within the overburdened health systems in SSA. Clinical trials are needed to optimize FGS treatment. Longitudinal studies can expand on the epidemiological knowledge on co-morbidities and integration within other SRH interventions. [ABSTRACT FROM AUTHOR]

Air quality monitoring is important to the green development of smart cities. Several technical challenges exist for intelligent, high-precision monitoring, such as computing overhead, area division, and monitoring granularity. In this article, we propose a fine-grained air quality monitoring system based on visual inspection analysis embedded in unmanned aerial vehicle (UAV), referred to as AQMon. This system employs a lightweight neural network to obtain an accurate estimate of atmospheric transmittance in visual information while reducing computation and transmission overhead. Considering that air quality is affected by multiple factors, we design a dynamic fitting approach to model the relationship between scattering coefficients and PM2.5 concentration in real time. The proposed system is evaluated using public datasets and the results show that AQMon outperforms four existing methods with a processing time of 13.8 ms. [ABSTRACT FROM AUTHOR]

As coined by the SEC, Digital Engagement Practices (DEPs) are visual cues and design features to engage investors on mobile trading platforms. With the rise of mobile stock trading, regulators and other capital market participants are concerned that these DEPs may cause retail investors to trade in ways they otherwise would not. Using an experiment, we examine the impact of two common DEPs in mobile trading platforms—color (i.e., the use of green or red to indicate performance) and allowing investors to swipe versus click and confirm to execute trades. Drawing from prior research, we predict that the color associated with firm information will interact with how investors execute their trades to affect investment decisions. Consistent with expectations, results show that investors make the largest investment in a firm when they swipe to trade and firm information is colored green, relative to when they click and confirm to trade or firm information is colored red, holding firm economics constant. Swiping to trade causes investors to focus relatively more on the upside of investing, but only when firm information is colored green and not when it is colored red. The color red leads to a muted effect of swiping to trade as investors experience more negative affect and focus relatively more on the downside of investing. Our study answers calls from regulators and academics to examine the effects of technology on information evaluation in investment decisions, and has important practical implications for investors. This paper was accepted by Ranjani Krishnan, accounting. Supplemental Material: The data is available at https://doi.org/10.1287/mnsc.2023.00379. [ABSTRACT FROM AUTHOR]

Contemporary smartphones integrate dedicated AI accelerators alongside CPUs and GPUs, in response to the growing demand for deep learning applications. While existing software development kits (SDKs) for these devices provide neural network optimization techniques, they often lack system-level optimizations, specifically in distributing layers across heterogeneous processors. This paper introduces a novel approach to enhance the throughput of deep learning applications through the utilization of quantization and pipelining techniques. The proposed technique employs different quantization schemes for activation data and filter weights to minimize accuracy drop. A genetic algorithm is employed to explore the extensive design space of layer-wise mapping and pipelining, aiming to find the best pipelining solution. To estimate performance of each solution candidate, the actual execution time of the application on the device is measured, accounting for unique smartphone characteristics, such as dynamic voltage and frequency scaling (DVFS) and OS scheduling. The impact of thermal throttling on throughput is also investigated by running benchmark applications continuously for 10 minutes. Our technique is validated through experiments conducted on Google Pixel 6 and Samsung Galaxy S22. Throughput enhancements, ranging from $\times 5.4$ to $\times 7.6$ on Google Pixel 6 and $\times 35.5$ to $\times 44.2$ on Samsung Galaxy S22, are achieved, compared to single-processor mappings for networks with floating-point parameters. It confirms that significant performance improvements can be achieved through the proposed software optimization methodology on contemporary smartphones with diverse constraints at the user level.

Augmented reality (AR), which combines digital rendering with the real world, has significantly shaped the healthcare system. AR technology can be utilized through a range of devices, broadly grouped into two types: mobile devices and head-mounted displays (HMDs). Mobile devices for AR usually include smartphones, tablets, and smartwatches; on the other hand, HMDs include different models of smart glasses and AR headsets. Each device type offers a unique way to experience AR, making the technology accessible and adaptable for various healthcare applications. However, the differences between using mobile devices and HMDs, and which is preferred under specific conditions, have yet to be determined. To address this, the survey provides a comparative review and analysis of the use of mobile- and HMD-based AR in the context of healthcare. A total of 43 relevant studies published between 2021 and July 2023 were identified from PubMed, ScienceDirect, and SpringerLink based on predetermined keywords and inclusion criteria. Of these, 9 (21%) focused on mobile-based and 34 (79%) on HMD-based AR. We provided a summary for each study, followed by an analysis and comparison of the AR functionalities that drive researchers to adopt the technology, the healthcare purposes researchers aim to address, and the study locations. Additionally, this study summarized the benefits, limitations and challenges, as well as potential future directions for these AR healthcare applications. The objective is to provide a comprehensive overview of both mobile- and HMD-based AR applications in healthcare, which assist individuals in knowing the potential uses of the technology and to aid them in choosing the suitable device for their specific needs.

Purpose – The purpose of this study is to investigate the effect of using mobile devices as an instructional tool on teachers' creativity and to promote their usage as instructional tools in educational settings. The research also studies the perceptions of teachers on the effect of using mobile devices as an instructional tool on their creativity and what features of mobile devices are believed to help in terms of enhancing their creativity. Design/methodology/approach – This qualitative inquiry used an interpretive phenomenological analysis (IPA) method for inspecting the professional capabilities of Pakistan's primary and secondary school teachers. Data were gathered from nine individuals through interviews. Three themes regarding creativity emerged from the study data. Findings – It is found that the use of mobile devices as a teaching tool significantly increases teachers' creativity by enabling them to manifest their creativity and explore different pedagogical vistas in which they can use a wide variety of instructional resources and tools. Using mobile devices as a teaching tool improved three skills: motivation, self-confidence and communication skills. Mobile applications, cameras and portability of these devices are among the features that teachers considered to have encouraged their creativity. Research limitations/implications – Finding the obstacles and difficulties teachers have while utilizing these tools to demonstrate their creativity may be valuable for future studies. First, because respondents were teachers from elementary and secondary classes, the population was not entirely homogenous, even though they had adequate help. Second, only semi-structured interviews were utilized for data gathering in this study. Further data collection methods, including observational research or participant-written reflective diaries, are thought to have been preferred. Practical implications – For future research, it may be interesting to determine whether the results of this study can be applied to other demographic groups. Based on this study, it is also recommended to conduct a quantitative study to know teachers' perceptions of the impact of these devices on creativity, since these studies can have promising results for teachers. Social implications – Through the use of various materials, tools and activities, these devices provide several distinctive teaching alternatives. Because of this, using it as a teaching tool gives teachers the ability to tailor courses to a range of learner types. Additionally, having easy access to a multitude of online resources and the capacity to interact with others helped in ideation. The teachers experienced feelings of motivation, self-confidence and a desire to impart information, all of which are traits of creative teachers. Based on the findings of this study, we may now think about using mobile devices in the classroom to encourage teachers' creativity. Originality/value – The outcomes of this research indicated that teachers' creativity is strongly influenced by their use of mobile devices as instructional tools. This paper advances the understanding of teachers’ creativity by highlighting their lived experiences. This study is novel because it highlights how these devices have the potential to be used as instructional tools, which has not been highlighted by any study so far.

Every day, we leave behind more and more digital data, which is related to the use of modern technical devices as well. This can speed up the flow of information. With the emergence of the Internet of Things, when machines communicate with each other and machines with people and exchange information. It has become essential to get to know the applications behind each device, as well as to analyze and examine the process of digital citizenship formation. The study presents modern technical devices, applications, data and digital citizenship from the Hungarian point of view, as well as the related decisions.

Digital communication supported by mobile devices has an essential impact on interpersonal relations. Face-to-face communication is significantly affected because of the habits of simultaneous use of mobile devices and digital communication. The effect on interpersonal relations is negative since the behaviour affects personal closeness, empathy, and trust, including the feeling that a physically present person is unwanted or redundant, even replacing face-to-face communication with text messaging. The behavioural patterns significantly change if a loved one is involved. Results show that behaviour patterns did not change considerably over five years. Simultaneous digital communication, replacing face-to-face contact or voice call with text messaging is still present, with minor deviations in the post-pandemic period. Nevertheless, personal contact with beloved persons is still the primary preference over time compared to digital contact.