Mobile Technology Research Articles

NOVEL DEVICE FOR ENHANCING TUBERCULOSIS DIAGNOSIS FOR FASTER, MORE ACCURATE SCREENING RESULTS

Tuberculosis (TB) continues to be a leading global cause of illness and death, highlighting an urgent need for rapid, precise diagnostic solutions. Conventional methods, such as chest X-rays and sputum smear microscopy, often lack adequate sensitivity and specificity, resulting in treatment delays and increased transmission. This research introduces a novel device leveraging deep learning to enhance TB diagnosis, utilizing a convolutional neural network (CNN) model designed to automatically detect TB-related abnormalities in chest X-ray images. The device, powered by a large annotated dataset, incorporates transfer learning to fine-tune pre-trained models, maximizing diagnostic performance. Key evaluation metrics—accuracy, precision, recall, and F1-score—demonstrate the model’s efficacy compared to traditional diagnostics. Preliminary findings show that the AI-driven approach significantly enhances diagnostic accuracy, reducing false negatives and facilitating faster screenings. These results suggest that embedding AI technology in clinical workflows can enable earlier TB detection, optimize healthcare resources, and improve patient outcomes. Future directions include testing the device across diverse clinical environments and exploring integration with mobile health technologies to broaden access to rapid TB diagnostics.

The CHALO! 2.0 mHealth-Based Multilevel Intervention to Promote HIV Testing and Linkage-to-Care Among Men Who Have Sex with Men in Mumbai, India: Protocol for a Randomized Controlled Trial.

Current programs to engage marginalized populations such as gay and bisexual individuals and other men who have sex with men (MSM) in HIV prevention interventions do not often reach all MSM who may benefit from them. To reduce the global burden of HIV, far-reaching strategies are needed to engage MSM in HIV prevention and treatment. Globally, including low- and middle-income countries, MSM are now widely using internet-based social and mobile technologies (SMTs; eg, dating apps, social media, and WhatsApp [Meta]), which provides an unprecedented opportunity to engage unreached and underserved groups, such as MSM for HIV prevention and care. This study aimed to assess the effectiveness of a multilevel mobile health (mHealth)-based intervention to improve HIV testing uptake and status neutral linkage-to-care among sexually active MSM reached through internet-based platforms in Mumbai, India. In this randomized controlled trial, we will determine whether CHALO! 2.0 (a theory-based multilevel intervention delivered in part through WhatsApp) results in increased HIV testing and linkage-to-care (prevention or treatment). This study is being conducted among 1000 sexually active MSM who are unaware of their HIV status (never tested or tested >6 months ago) and are recruited through SMTs in Mumbai, India. We will conduct a 12-week, 3-arm randomized trial comparing CHALO! 2.0 to 2 control conditions-an attention-matched SMT-based control (also including a digital coupon for free HIV testing) and a digital coupon-only control. The primary outcomes will be HIV testing and status neutral linkage-to-care by 6 months post enrollment. Participants will be followed up for a total of 18 months to evaluate the long-term impact. The study was funded in 2020, with recruitment having started in April 2022 due to delays from the COVID-19 pandemic. Baseline survey data collection began in April 2022, with follow-up surveys starting in July 2022. As of April 2022, we enrolled 1004 participants in the study. The completion of follow-up data collection is expected in January 2025, with results to be published thereafter. While global health agencies have called for internet-based interventions to engage populations vulnerable to HIV who are not being reached, few proven effective and scalable models exist and none is in India, which has one of the world's largest HIV epidemics. This study will address this gap by testing a multicomponent mHealth intervention to reach and engage MSM at high priority for HIV interventions and link them to HIV testing and prevention or treatment. ClinicalTrials.gov NCT04814654; https://clinicaltrials.gov/study/NCT04814654. Clinical Trial Registry of India CTRI/2021/03/032280. DERR1-10.2196/59873.

Low-Cost and Contactless Survey Technique for Rapid Pavement Texture Assessment Using Mobile Phone Imagery

Collecting pavement texture information is crucial to understand the characteristics of a road surface and to have essential data to support road maintenance. Traditional texture assessment techniques often require expensive equipment and complex operations. To ensure cost sustainability and reduce traffic closure times, this study proposes a rapid, cost-effective, and non-invasive surface texture assessment technique. This technology consists of capturing a set of images of a road surface with a mobile phone; then, the images are used to reconstruct the 3D surface with photogrammetric processing and derive the roughness parameters to assess the pavement texture. The results indicate that pavement images taken by a mobile phone can reconstruct the 3D surface and extract texture features with accuracy, meeting the requirements of a time-effective documentation. To validate the effectiveness of this technique, the surface structure of the pavement was analyzed in situ using a 3D structured light projection scanner and rigorous photogrammetry with a high-end reflex camera. The results demonstrated that increasing the point cloud density can enhance the detail level of the real surface 3D representation, but it leads to variations in road surface roughness parameters. Therefore, appropriate density should be chosen when performing three-dimensional reconstruction using mobile phone images. Mobile phone photogrammetry technology performs well in detecting shallow road surface textures but has certain limitations in capturing deeper textures. The texture parameters and the Abbott curve obtained using all three methods are comparable and fall within the same range of acceptability. This finding demonstrates the feasibility of using a mobile phone for pavement texture assessments with appropriate settings.

Age-Based Preference Analysis between Autonomous Vehicles and Other Mobility Technologies

Age-Based Preference Analysis between Autonomous Vehicles and Other Mobility Technologies

Evaluating Educational Patterns and Methods in Infant Sleep Care: Trends, Effectiveness, and Impact in Home Settings—A Systematic Review

Background: Sleep care is crucial for the health and development of infants, with proper sleep patterns reducing the risk of sudden infant death syndrome (SIDS) and other sleep-related incidents. Educational interventions targeting caregivers are essential in promoting safe sleep practices. Methods: This systematic review adhered to PRISMA guidelines, searching databases such as PubMed, MEDLINE, Scopus, and the Cochrane Library. Inclusion criteria focused on studies involving home-based interventions for infants aged 0–12 months, including parental education and behavioral interventions. Exclusion criteria included studies in clinical settings and non-peer-reviewed articles. Data extraction and synthesis were performed by two independent reviewers, using a narrative approach to categorize interventions and outcomes. Results: Twenty-three studies met the inclusion criteria. Key findings indicate that home-based educational interventions, including hospital-based programs, home visits, and mobile health technologies, significantly improve parental knowledge and adherence to safe sleep practices. These interventions also enhance parental satisfaction and contribute positively to infant health outcomes. Conclusions: Educational interventions have demonstrated effectiveness in promoting safe sleep practices among caregivers, particularly in home settings. These interventions, including hospital-based programs, home visits, and digital tools, improve parental knowledge, adherence to guidelines, and overall satisfaction. The impact is evident in the reduction of unsafe sleep behaviors and enhanced infant health outcomes. However, variability in the intervention methods and delivery, cultural contexts, and geographic focus suggest a need for more tailored, long-term, and comprehensive studies. Future research should standardize outcome measures and assess the sustained impact of these educational strategies on infant sleep patterns and caregiver practices over time. This will provide deeper insights into the trends and long-term effectiveness of educational patterns and methods in diverse home environments.

The Use of Telehealth Technology in the Medical Management of Adults with Intellectual Disability: A Scoping Review.

Background: Individuals with intellectual disability (ID) experience substantial inequalities and barriers accessing health care despite requiring constant accessibility to healthcare providers as they are more likely to die from avoidable causes of death than those without ID. Telehealth technologies have the capacity to improve access to health providers and health information and could greatly reduce morbidity and mortality rates in people with ID. This study aims to explore the use of mobile health technology in the medical management of adults with intellectual disability. Methodology: PubMed, IEEE Explore, ACM, and Scopus databases were examined to extract peer-reviewed articles published from January 2000 to January 2022. Original research, published in English and focused on the use of telehealth technologies in the medical management of intellectual disability were deemed eligible. A narrative synthesis of the results was completed, structured around the characteristics of telehealth technologies used and the outcomes of the studies. Results: Thirteen of 1008 reviewed articles were considered eligible for inclusion. Most of the studies used videoconferencing platforms for real-time telehealth, while others focused on symptom or medication monitoring applications. The evidence supports the feasibility, potential effectiveness and satisfaction of using telehealth to manage intellectual disability among adults despite accessibility issues including poor internet connectivity and poor knowledge of technology which may limit its use. Conclusion: The use of telehealth was feasible, acceptable and potentially effective for the management of ID among adults though the varied methodology of included studies maybe inadequate. A more structured methodology will be useful in future studies.

Reliability Assessment of Power Distribution Cyber–Physical Systems Considering the Impact of Wireless Access Networks

With the rapid increase in the number of various terminal devices in distribution systems, the important impact of communication networks on power supply reliability in cyber–physical distribution systems (CPDSs) is becoming increasingly prominent. The traditional wired communication method makes it difficult to meet the demand in some scenarios due to high cost and construction difficulty. For this reason, this study evaluated the reliability of power distribution cyber–physical systems, considering fifth-generation (5G) mobile communication technology wireless access conditions. First, a reliability model of a communication channel in a 5G communication network was established, and the indirect impact of information system failure on the power distribution system was analyzed. Secondly, a reliability assessment method based on the improved least path method was devised by combining switch action failure, self-healing processing, and load transfer. The simulation results show that 5G communication technology has significant advantages in improving system reliability, and the proposed method is closer to the development direction of future power distribution systems, which provides an effective reference basis for the optimized operation of power distribution cyber–physical systems.

A Review of Innovative Approaches to Overcoming Agricultural Extension Challenges: A Case Study of the Knowledge Gap in Kigezi Sub-Region, Uganda

Agriculture remains the backbone of Uganda’s economy, but the Kigezi region continues to face significant challenges that limit its agricultural productivity. Farmers in this region, despite their reliance on agriculture, often struggle with low yields and limited access to modern farming techniques. These challenges are exacerbated by a knowledge gap in agricultural extension services, largely caused by logistical issues, poor infrastructure, and limited access to technology. This review examines the agricultural extension challenges in Kigezi and explores innovative approaches, with a particular focus on mobile-based teaching-learning frameworks (TLFs). The article evaluates the potential of mobile technology to address these challenges by providing scalable, accessible, and context-specific solutions. The findings suggest that while Kigezi faces digital and infrastructure barriers, mobile solutions tailored to local needs could empower farmers and enhance agricultural productivity. This review aims to contribute to ongoing discussions on agricultural extension in resource-constrained regions and provides practical recommendations for bridging the extension gap through innovative mobile platforms.

A Study on Determine How Mobile Apps can Help Promote the Growth of the Fashion Industry

The usage of smartphones has increased after covid-19 for many purposes, including shopping. Hence raising awareness about online shopping apps and their advantages to the general public will pave the way to increases sales, which leads to economic development. Technology breakthroughs and shifting customer behavior are driving a major transition in the fashion business. This paper looks at how mobile applications can help the fashion industry increase sales, improve brand engagement, and streamline processes. Nowadays, due to stiff competitor that prevails in the fashion industry, there has been a tremendous increase in the usage of social media, and the promotion of various mobile shopping apps creates a zest for processing the product. The study’s main goal is to determine how mobile apps can help promote the growth of the fashion industry. The main advantage of using mobile apps is that it saves time, and customers can always the information about different products and make comparisons easily. The study is useful for manufacturers, wholesalers, retailers and various distribution channels of the utilize mobile platforms and increase their sales and profits. We identify important characteristics of successful fashion apps, including social integration, augmented reality functions, and tailored purchasing experiences, using a mixed-methods approach incorporating case studies and survey data. According to our research, mobile applications help organizations make wise decisions by enhancing consumer satisfaction and loyalty as well as offering useful data analytics. The report offers suggestions at the end on how fashion companies might use mobile technology to achieve long-term growth.

Evaluating Mobile Wallet Adoption Barriers Using Fuzzy Mathematical Model

A tremendous amount of research has been done on the factors influencing mobile wallet adoption as mobile wallet technology has seen rapid growth. Using expert opinion and Fuzzy PROMETHEE approach, this study investigates the key barriers to mobile wallet adoption. Mobile wallet adoption is constrained by Technological, security and infrastructural barriers, making adoption more challenging when user acceptance is skewed in emerging markets. In this study, we use the F-PROMETHEE to rank these barriers based on expert opinions. A panel of fintech and digital payments experts assessed the key adoption obstacles. Included in the PROMETHEE method were methods for handling variability or uncertainty through fuzzy logic and through subjective expert judgments. The results suggest that the major barriers to the adoption of mobile wallets were identified as risk and usage constraints. Moreover, value barriers are a leading factor. This study found that the risk and value barriers are the two principal risks that must be overcome to raise the client accepted rate of m-wallet services. A step forward in the assessment of such obstacles is the innovative use of a fuzzy mathematical model, which provides a more complex and adaptable approach than traditional methods. This study has learnt a few lessons that can help policy makers and industry players understand how to overcome the main barriers to mobile wallet adoption.

Innovative healthcare solutions for resource-limited settings expanding pharmaceutical care to remote populations

Access to essential healthcare and pharmaceutical services remains a significant challenge in resource-limited settings. This paper explores innovative strategies for expanding pharmaceutical care to remote populations, focusing on the integration of mobile health technologies and community-based interventions. Mobile health (mHealth) technologies, including telemedicine and mobile pharmacies, offer a cost-effective means of delivering healthcare services, enhancing access, and improving real-time monitoring. Community-based interventions, such as the deployment of community health workers, health education campaigns, and peer support groups, play a critical role in addressing healthcare disparities and improving health literacy and medication adherence. The paper also discusses the integration of pharmaceutical care models, emphasizing the importance of collaboration among healthcare providers, pharmacists, and community health workers. Future directions highlight emerging innovations like AI and blockchain technology, while policy recommendations emphasize the need for investment in healthcare infrastructure, professional training, and regulatory support. By leveraging these strategies and innovations, healthcare outcomes and equity in resource-limited settings can significantly improve.

A Study on the Influencing Factors of New Media Short Video Platforms on Adolescent Mental Health

With the rapid development of the Internet and mobile technology, new media short video platforms have rapidly become popular around the world and have become an important part of adolescents ‘s daily lives. Short video platforms are popular among adolescent for their rich content and strong interactivity. However, the popularity of short video platforms also brings potential impacts on the mental health of adolescents. This study aims to discuss the specific influencing factors of new media short video platforms on adolescents’ mental health. It uses a combination of questionnaire surveys and literature searches to study factors such as the frequency of adolescents’ short video use, content preferences, and interactive behaviors The results of this study show that new media short video platforms have a multi-faceted negative impact on the mental health of adolescents, mainly manifested in increased psychological stress, decreased sleep quality, and decreased academic performance. The research further concluded that when adolescents overuse short video platforms, their academic and social pressures increase significantly. In response to this type of problem, it is recommended that parents and educators provide more guidance, use short video platforms reasonably, and create a healthy online environment.

Research on Mobile Learning (M-Learning) in Higher Education: A Systematic Review (2016 to 2023)

This study investigates the evolution of mobile learning (M-Learning) applications in higher education between 2016 and 2023. This period marks an era of significant technological innovations and the profound impacts of the COVID-19 pandemic on education. The purpose of this research is to delineate how M-Learning applications are represented in the academic literature during this time and to identify research trends within this field. The research is based on a systematic review of 161 academic articles related to M-Learning, published between 2016 and 2023 in the Scopus and Web of Science databases. The study utilizes the TCCM (Theory, Context, Characteristics, Methodology) framework to conduct an in-depth analysis of theoretical approaches, research contexts, learning characteristics, and methodological strategies in the literature. The findings reveal that M-Learning positively impacts areas such as collaboration, skill development, and self-assessment among students. The effective use of mobile devices as educational tools by instructors and students is identified as crucial for the success of M-Learning applications. Moreover, the success of M-Learning is closely linked to users' attitudes toward technology and the integration of technological and pedagogical supports into the learning processes. This systematic review provides significant insights into how M-Learning can transform learning and teaching practices in higher education. It suggests strategic planning and further research for educators, policymakers, and researchers on integrating mobile technologies into learning processes. Specifically, there is a need to explore the long-term effects of M-Learning on student achievement and its applicability in various learning contexts.

Does perceived usability of a multi-component mobile device intervention improve health-related quality of life?

Abstract Background Good health-related quality of life (HRQL) is essential to healthy aging. Prior studies have demonstrated that mobile device technologies can promote HRQL in older adults. However, evidence of technology acceptance in older adults is often inconsistent and poorly understood. Purpose This study aims to 1) describe technology acceptance using efficiency, learnability, user experience (i.e., acceptability), and perceived control from the USABILITY survey of a multi-component mobile device intervention consisting of a wearable activity tracker (Fitbit Versa), access to Lose It app, and text messages (for experimental group only) in older adults at risk for cardiovascular disease, and 2) examine the correlation between technology acceptance and changes in HRQL before and after using each component of the digital intervention. Methods Data were collected using a purpose-built technology usability survey, and HRQL was assessed using the 12-Item Short Form Survey (SF-12), which measured perceived physical and mental health. Correlations were used to identify associations between technology acceptance and HRQL. Results The mean age of participants (n=54) was 65.4 ± 6.0 years; a majority were females (60%), married (53%), Hispanic (66%), and had a high school education or higher (76%). Table 1 shows that the experimental group had considerably higher HRQL at three months, but no differences in technology acceptance were noted. Fitbit technology adoption was found to be correlated with physical HRQL (r=304, p=0.027). The Lose It app showed no correlation with HRQL. Despite receiving higher usability ratings, SMS messages were not correlated with physical or mental HRQL. Conclusion Our findings demonstrate that older persons at risk for cardiovascular disease find mobile device intervention components acceptable. However, each component affected physical and mental health differently. These findings inform more complete technology acceptance models for older individuals' technology design, education, and deployment. Older persons prefer personalized communication, such as customized text messages, as the most favored aspect of the multi-component mobile device intervention. It warrants a larger clinical trial to determine its efficacy on HRQL.

Mobile health technology integrated care in atrial fibrillation patients according to polypharmacy: an analysis of the mAFA-II clinical trial

Abstract Background Polypharmacy is common in patients with multiple chronic long-term conditions and has been associated with adverse outcome in patients with Atrial Fibrillation (AF). The ‘Atrial fibrillation Better Care’ (ABC) pathway has been proposed to streamline an integrated care management of AF patients, and the Mobile Health Technology for Improved Screening and Optimized Integrated Care in AF (mAFA-II) prospective cluster randomised trial showed the efficacy of a mobile health (mHealth) implemented ‘ABC’ pathway (mAFA intervention) in improving prognosis of AF patients. Whether these benefits apply also to AF patients with polypharmacy is unclear. Purpose To evaluate the effect of mAFA intervention according to the presence of polypharmacy at baseline. Methods In the mAFA-II cluster randomised trial, between June 2018 and August 2019 adults with AF were enrolled in 40 centres in China; clusters were randomised in a 1:1 ratio to mAFA intervention or usual care. In this analysis, we defined polypharmacy as being treated with 5 or more drugs at baseline. The primary outcome was the composite of stroke, thromboembolism, all-cause death and rehospitalisation. We evaluated the interaction between the effect of mAFA intervention and the presence of polypharmacy at baseline on the risk of the primary outcome using multivariable Cox-regression analysis; results were expressed as adjusted Hazard Ratio (aHR) and 95% Confidence Intervals (95%CI). We also evaluated individual components of the primary outcomes as exploratory secondary endpoints. Results 3,324 patients were enrolled in the trial and included in this analysis; of these, 558 (16.8%) patients were polymedicated at baseline (mean age 71.9±12.6 years, females 44.3%); of these, 303 (54.3%) were allocated to mAFA intervention. 2,766 patients were not polymedicated (mean age 67.9±14.4 years, females 36.7%), of these 1,343 (48.5%) were allocated to mAFA intervention. Overall, patients in the polypharmacy group were older and with higher prevalence of most comorbidities and higher thromboembolic risk. The effect of mAFA intervention was similar among patients with vs. without polypharmacy on the reduction of the primary composite outcome, although with a diluted effect among polymedicated patients (adjusted Hazard Ratio [aHR] and 95% Confidence Interval [CI]: 0.34 [0.22-0.53] vs. 0.73 [0.27-1.99], p for interaction=0.166, Figure 1); similar results were observed for all-cause death and rehospitalizations. Conclusions A mHealth-technology implemented ABC pathway showed a similar effect on the reduction of the primary composite outcome among patients with and without polypharmacy. These findings support a broad application of the ABC pathway to improve outcomes in AF patients.Figure 1

To monitor or not after detected AF, this is a question: report from the consumer-led screening programme of long-term extension mAFA cohort

Abstract Background The consumer-led screening for atrial fibrillation (AF) is evolving with the widespread availability of wearables. Nonetheless, what the long-term impact on the individual's behavior of rhythm monitoring after detected AF is unclear. Objective To investigate the long-term impact on health behavior for the individuals using wearables for cardiac rhythm. Methods In the mobile technology supported screening and integrated care in atrial fibrillation (mobile atrial fibrillation application, mAFA programme), the general population freely decided to enter the screening programm with wristbands or watches across China. At least 14-day monitoring was proposed, the individuals with detected AF can consider to receive the mAFA App for AF care. The adherence of rhythm monitoring after detected AF with wearables was calculated, while the multinomial logistics regression model was utilised to analyze the independent factors associated with the adherence. Results There were 4337172 individuals entered into AF screening programme using wearables between Oct, 2018 and Feb 14, 2024. Among them, 22224 individuals (0.5%, 22224/4337172, mean age, SD, 55, 16 years old, male 82.4%) were monitored with AF episodes. There were 21223 individuals remaining the wearables use for rhythm monitoring after first AF identification. The time (days, median, interquartile ) using wearables for monitoring the pulse rhythm were 465 (130, 889) days. The time to first identified AF (days, median, interquartile) were 16 (1, 176) days. The continuing monitoring time since first identified AF (days, median, interquartile) were 290 (54, 668) days. The adherence of cardiac rhythm monitoring after detected AF with wearables (Figure): 96.0% individuals continued the rhythm monitoring using wearables during 30 days, 58.8% in 2 years, and 35.7% in 3 years and over. In the adjusted multinomial logistics regression model, the palpitation, hypertension, obstructive sleep apnea, heart failure, age and mAFA use were independently associated with the adherence for the individuals remaining the wearables use for rhythm monitoring after detected AF (all p<0.05). Conclusions The general population at risk were likely to receive long-term rhythm monitoring after detected AF, and the mAFA use, with the self-care support, was an independent factor for the continuing monitoring.

Penerapan Clean Arsitektur Menggunakan Mobile Platform Berbasis Flutter Untuk Aplikasi Layanan Kapal

Indonesia's mobile technology adoption rate of 77.02% provides a great opportunity forcompanies to improve their services through mobile platforms. PT ABC, a ship service providerfor various needs, currently only uses web-based applications and needs a mobile-based shipservice application to increase efficiency and flexibility. This research aims to implement CleanArchitecture on a Flutter-based mobile platform to improve the structure and facilitate codemaintenance in ship service applications. The research method used is the prototyping method,with stages including Communication, Quick Plan, Modelling Quick Design, Prototype Formationand Deployment Delivery & Feedback. This approach enables faster application development,earlier identification of potential changes, and reduced risk of failure or mismatch with user needs.The results showed that the application of Clean Architecture in mobile-based ship service applications was successfully implemented so that it provided ease of maintenance. Blackboxtesting with 10 test cases ensures that the application functions as expected and is ready to be usedby PT ABC. User Acceptance Testing also shows that this application meets the needs of users andincreases the company's responsiveness to market changes, the test results reached 86.83%. Withthe division of business logic into usecases folders, the overall efficiency of development, flexibilityof change, and ease of maintenance of the system is increased. In conclusion, Clean Architectureproved to be the right solution to optimise PT ABC's business operations, facilitate applicationmaintenance and testing, and improve code understanding and readability for developers

From Experience to Loyalty: Understanding the Dynamics of Customer Trust in Indonesia’s Mobile Banking Industry

Objective: In the rapidly evolving financial services industry, Mobile Banking has emerged as a critical platform for customer engagement and service delivery. With the increasing adoption of mobile technologies, understanding the factors that drive customer loyalty in Mobile Banking has become a strategic priority for service providers. Key elements such as customer experience, satisfaction, trust, and loyalty intention play pivotal roles in shaping customer perceptions and behaviors. This study investigates the relationships between customer experience, customer satisfaction, trust, and loyalty intention among Mobile Banking customers in Indonesia. Method: The study utilizes an explanatory research methodology, following a quantitative approach within the positivist paradigm. This methodology is designed to clarify the causal relationships between variables, examining both direct and indirect effects. Using data from 477 respondents, analyzed through Structural Equation Modeling - Partial Least Squares (SEM-PLS). Results and Discussion: The findings reveal that enhancing customer experience significantly boosts trust, while customer satisfaction strongly influences both trust and loyalty intention. Although customer experience does not directly impact loyalty intention, customer satisfaction plays a crucial role in fostering customer loyalty. Trust also serves as an important mediator between customer satisfaction and loyalty intention, highlighting its role in strengthening customer relationships. Research Implications: The study's focus on Indonesian customers may limit the generalizability of the findings to other geographical contexts. Cultural differences, variations in mobile banking adoption rates, and differing regulatory environments across countries could influence customer behavior and perceptions, suggesting that the results may not be universally applicable. Originality/Value: The study’s emphasis on trust as a mediator between satisfaction and loyalty provides novel insights, particularly relevant for practitioners aiming to navigate the competitive landscape of Mobile Banking.

Reconfigurable Frequency Response Masking Multi-MAC Filters for Software Defined Radio Channelization

Mobile technology is currently trending toward supporting multiple communication standards on a single device. This means that some reconfigurable techniques must be the foundation of their design. The two essential requirements of channel filters are minimized complexity and reconfigurability. In this research, a novel extension of Frequency Response Masking (FRM) was investigated by employing Time Division Multiplexing (TDM)-based single Multiply and Accumulate (MAC) architecture using the principle of resource sharing to realize multiple sharp filter responses from a single prototype constant group delay low pass filter. This paper uses a single multiply and add units regardless of the quantity of channels and taps. The suggested reconfigurable filter was synthesized on technology based on 0.18-µm CMOS and put into practice. Further trials were carried out on Virtex-II 2v3000ff1152-4 FPGA device. The outcomes revealed that the suggested channel filter, which was synthesized using FPGA, provides 21.36% of the area curtail and 14.88% of power scaling down on average and put into practice using ASIC provides 5.18% of the area reduction and 9.08% of power scaling down on average.

Real-Time Data Collection Utilizing Mobile Technology in Clinical Research: A Secondary Analysis of a Prospective Cohort

Real-Time Data Collection Utilizing Mobile Technology in Clinical Research: A Secondary Analysis of a Prospective Cohort