Mobile Software Research Articles

Digitalization as a Tool for the Speech Development of Older Preschool Children with Autistic Disorders

Autism is a neurological condition characterized by long-term and serious difficulties in communication and social interaction, so innovative methods are being sought worldwide to influence language development in such children. The study aims to study the influence of digitalization on the development of speech of senior preschool children with autistic disorders. Research methods: we examined 68 children of senior preschool age with autistic disorders (5 to 7 years old), of whom 38 were girls (55.9%) and 30 boys (44.1%). The child’s speech development was carried out using specialized mobile software applications for 6 months for 1.5 hours a day. Results: the use of mobile software applications did not lead to the improvement of receptive speech in children with autistic disorders. In contrast, the percentage of children with expressive speech decreased: 19 (27.9%) vs 23 (33.8%), speech deficit - 28 (41.2%) vs. 35 (51.5%); the percentage of children with communicative speech increased - 39 (57.4%) vs. 30 (44.1%). Conclusions. It has been established that it is necessary to apply digitalization in speech development and to study its impact on senior preschool children with autistic disorders. Prospects for further research are to study the effectiveness of digitalization in senior preschool children depending on the level of the autism spectrum.

Fairness Concerns in App Reviews: A Study on AI-Based Mobile Apps

Fairness is one of the socio-technical concerns that must be addressed in software systems. Considering the popularity of mobile software applications (apps) among a wide range of individuals worldwide, mobile apps with unfair behaviors and outcomes can affect a significant proportion of the global population, potentially more than any other type of software system. Users express a wide range of socio-technical concerns in mobile app reviews. This research aims to investigate fairness concerns raised in mobile app reviews. Our research focuses on AI-based mobile app reviews as the chance of unfair behaviors and outcomes in AI-based mobile apps may be higher than in non-AI-based apps. To this end, we first manually constructed a ground-truth dataset, including 1,132 fairness and 1,473 non-fairness reviews. Leveraging the ground-truth dataset, we developed and evaluated a set of machine learning and deep learning models that distinguish fairness reviews from non-fairness reviews. Our experiments show that our best-performing model can detect fairness reviews with a precision of 94%. We then applied the best-performing model on approximately 9.5M reviews collected from 108 AI-based apps and identified around 92K fairness reviews. Next, applying the K-means clustering technique to the 92K fairness reviews, followed by manual analysis, led to the identification of six distinct types of fairness concerns (e.g., “receiving different quality of features and services in different platforms and devices” and “lack of transparency and fairness in dealing with user-generated content” ). Finally, the manual analysis of 2,248 app owners’ responses to the fairness reviews identified six root causes (e.g., “copyright issues”) that app owners report to justify fairness concerns.

Non-Invasive Detection of Interferon-Gamma in Sweat Using a Wearable DNA Hydrogel-Based Electrochemical Sensor

Monitoring of immune factors, including interferon-gamma (IFN-γ), holds great importance for understanding immune responses and disease diagnosis. Wearable sensors enable continuous and non-invasive detection of immune markers in sweat, drawing significant attention to their potential in real-time health monitoring and personalized medicine. Among these, electrochemical sensors are particularly advantageous, due to their excellent signal responsiveness, cost-effectiveness, miniaturization, and broad applicability, making them ideal for constructing wearable sweat sensors. In this study, we present a flexible and sensitive wearable platform for the detection of IFN-γ, utilizing a DNA hydrogel with favorable loading performance and sample collection capability, and the application of mobile software achieves immediate data analysis and processing. This platform integrates three-dimensional DNA hydrogel functionalized with IFN-γ-specific aptamers for precise target recognition and efficient sweat collection. Signal amplification is achieved through target-triggered catalytic hairpin assembly (CHA), with DNA hairpins remarkably enhancing sensitivity. Ferrocene-labeled reporting strands immobilized on a screen-printed carbon electrode are displayed via CHA-mediated strand displacement, leading to a measurable reduction in electrical signals. These changes are transmitted to a custom-developed mobile application via a portable electrochemical workstation for real-time data analysis and recording. This wearable sensor platform combines the specificity of DNA aptamers, advanced signal amplification, and the convenience of mobile data processing. It offers a high-sensitivity approach to detecting low-abundance targets in sweat, paving the way for new applications in point-of-care diagnostics and wearable health monitoring.

Home-Based Intervention Tool for Cardiac Telerehabilitation: Protocol for a Controlled Trial.

Among cardiovascular diseases, adult patients with congenital heart disease represent a population that has been continuously increasing, which is mainly due to improvement of the pathophysiological framing, including the development of surgical and reanimation techniques. However, approximately 20% of these patients will require surgery in adulthood and 40% of these cases will necessitate reintervention for residual defects or sequelae of childhood surgery. In this field, cardiac rehabilitation (CR) in the postsurgical phase has an important impact on the patient by improving psychophysical and clinical recovery in reducing fatigue and dyspnea to ultimately increase survival. In this context, compliance with the rehabilitation program is a key element for the therapeutic benefits of the program. The increase of mobile health care devices and software has greatly extended self-care capabilities across the spectrum of health care activities. Moreover, the possibility of telemonitoring the progress of this self-care provides elements of empowerment and awareness of one's state of health. As a branch of telehealth, CR can be optimized and facilitated using remote telemedicine devices. The principal goal of the Innovation in Postoperative Rehabilitation Training and Monitoring (IPOTERI) study is to design, realize, and test a composite and integrated system for postsurgical rehabilitation therapies at home specialized for cardiac surgery. The secondary aims are to implement the system in a "real-life" context of postcardiac surgical rehabilitation, and to create a data set and a data collection methodology to prototype data analytics algorithms and artificial intelligence techniques for customizing the rehabilitation pathway. The IPOTERI method consists of a telemonitoring platform that guarantees continuity of postoperative care, an intelligent home station based on an Android app for the patient with a user-friendly interface to record vital signals (electrocardiogram, blood pressure, oxygen saturation, and body weight) and access the planning of rehabilitation activities, and a decision support system that communicates with hospital medical records to transmit alerts and specific support information for the formulation and updating of the treatment and care plan. The pilot test started in June 2023 (protocol number 20406/2021) including 50 patients who will be monitored for 12-14 weeks using the developed platform, as described in the Procedures subsection of the Methods section. The IPOTERI approach, based on the processing of data recorded during the monitoring of telemedicine devices used at home during the postsurgical rehabilitation of a cardiac patient, together with clinical data from the perioperative and postoperative periods could have positive effects on adherence to the rehabilitation program and clinical improvement as well as result in overall improvement of quality of life. DERR1-10.2196/47951.

Eco-Apps for Change? Evaluating Mobile Apps to Promote and Support Sustainable Lifestyle Changes

Introduction: Mobile digital devices have developed mainly from voice communications to always-on internet-accessing, mini-computers used universally across the generations. As the consumption and use of smartphones and digital devices and services grow exponentially, their pervasive acceptance has coincided with an increasing demand for mobile software applications. Faced with the evidence of the deepening climate crisis, can mobile digital apps be better deployed in support of critical lifestyle and behavioral changes required to tackle the impacts of climate change? Applying a review of the existing literature on mobile apps and combining this with original data from new eco-app users affords us deeper insights into the effectiveness (or otherwise) and utility of apps in promoting lifestyle changes allowing us to better design, develop, and deploy these digital tools for environmental good. Methods: A comprehensive review of the literature on behavioural change and its links to digital ICTs is undertaken. This is followed by an analysis of quantitative data collected from just under 100 novel eco-app users to explore what they found useful, what they found troublesome, and what forced them to reject and uninstall such apps. Results: Findings identified an overcrowded marketplace as a barrier to success. Attrition is also an issue of concern in encouraging digital intervention lifestyle change, with some revealing they would uninstall apps if they affected the operation and running of their device, or if the services on offer were irrelevant to their needs at a particular time. Conclusion: The study concludes by outlining recommendations and guidelines for best practices in future digital interventions for promoting sustainable behavioural change specifically using mobile digital apps.

Effectiveness of interactive voice response-call for life mHealth tool on adherence to anti-retroviral therapy among young people living with HIV: A randomized trial in Uganda.

In people living with HIV, adherence to antiretroviral therapy (ART) is essential for achieving and sustaining viral suppression and reducing mortality. In young people living with HIV, ART adherence and retention remain a challenge with unsatisfactory viral suppression rates despite facility-based intensive adherence counseling that is the standard of care. Few studies have evaluated mHealth adherence interventions among young people living with HIV in resource-limited settings. This was a randomized parallel trial. Young people aged between15-24 living with HIV, initiating ART, or on ART for not more than 6 months at three ART clinics were recruited and randomized to a ratio of 1:1 to either standard of care or the intervention "Call for Life-Interactive Voice Response" with standard of care, between 12th August 2020 and 1st June 2022. The intervention is mobile technology-based software, that has interactive voice response functionalities, with a web-based interface, that allows interaction through the use of voice and tones via a dial pad. The primary outcome was viral suppression defined as HIV RNA below 1,000 copies per mL at 12 months with retention in care and viral suppression at month 6 as a secondary outcome. Descriptive statistics were used for participant characteristics. Primary outcomes and factors associated with viral load failure were assessed using the log-binomial model. All calculations were done using statistical software release 16.0. A total of 206 participants were recruited and randomized; the mean age was 22.5(SD±1.9) years and 81% (167/206) were female. The intervention had 78.6% (81/103), females, while the standard of care had 83.5% (86/103). Viral suppression at 12 months in the intervention arm was 73.6% (67/91) versus 51.9% (40/77) in the standard of care arm, p=0.01. Retention in care was 88.4% (91/103) in the intervention vs. 74.7% (77/103) in the standard of care arm p=0.01. This is the first study in Uganda to demonstrate that mHealth has the potential to improve medication adherence and retention in care among youth living with HIV in Uganda. NCT04718974 Registry: clinical Trials.gov.

Mobile network and computer software test path selection application in environmental data collection simulation

Mobile network and computer software test path selection application in environmental data collection simulation

Analysis and Comparison of Social Media Applications Using Forensic Software on Mobile Devices

With the integration of mobile systems into daily life, social media applications used especially on Android and iOS platforms contain a significant amount of sensitive information. Social media applications on mobile systems have huge personal and sensitive content. Therefore, it is important to design effective techniques for forensic analysis of social media applications and to detect personal data. In this research, three different paid mobile forensic software and 4 different brands and models of smartphones with different operating systems were used and analyzed. The study shows that private messages, e-mails, time information, shared data, location and time information, and other personal data can be obtained by a forensic expert who performs an examination, and it is seen that one software can access the deleted data, but another software cannot access it. In proportion to the technology used in today’s world, mobile forensics incidents are increasing day by day, and a competitive environment is created among the software used to illuminate these incidents. With this competition, software companies dealing with forensic informatics are trying to obtain different data to illuminate forensic events that may occur due to the active use of social media accounts with the developing technology, and software that does not meet the needs in the face of this situation remains in the background. The criminal elements in the investigation areas of mobile forensics differ daily, and the scope of crimes in the virtual environment is expanding with the developing technology. Therefore, mobile forensic analysis applications should be successful in social media applications other than standard data.

Quiet Pandemic Amid COVID-19: A literature review on gamification for mental health

Background: COVID-19 affects individuals both physically and mentally. The key is to address emerging needs with a modest technique that helps boost the positive approach in individuals. Gamification offers attempts to engage users with the non-game approach, and its growing popularity in other fields, such as finance and retail, is evident. Objective: This research aims to study the available literature that analyzes and understands using the Gamification approach for mental health in the pandemic. Methods: The author performed a systematic literature review using the PRISMA technique among the selected articles published until Jul 2023, focusing on Gamification, mental health, and COVID in highly reputed record databases, which were peer-reviewed studies. Therefore, the studies using the standard international language of English were eligible for this Study. Results: The Study identified elevated articles exploring Gamification through mobile application software, web-based platforms, and other tools since COVID-19 limited in-person social contact for individual safety during peak time. Conclusion: There are limited studies of Gamification in mental health, and the existing studies suggest that Gamification supports the betterment of mental health. Future studies can explore the different areas of mental health with gamification-based applications or gamified approaches.

Mobile Software Engineering is Coming to an End (Like All Good Things Must)

Mobile Software Engineering as a separate research field has been relevant to speeding up Software Engineering research in the area of mobile devices and applications. However, the existence of Mobile Software Engineering as a separate research field is coming to an end. This development has implications for existing and future research. These implications and resulting opportunities are discussed in this paper.

Mobilizing DevOps: exploration of DevOps adoption in mobile software development

PurposeThe purpose of this study is to investigate the factors facilitating and influencing the adoption of DevOps practices specifically tailored to mobile software development, with a focus on understanding the influence of mobile-specific requirements on DevOps integration.Design/methodology/approachThe study employs a qualitative methodology, including a literature review, exploratory case research and partial quantitative assessments through DORA metrics and survey applications. This approach, guided by the Technology-Organization-Environment (TOE) framework, prioritizes in-depth insights into the adoption of DevOps practices and explores strategies for integrating DevOps in mobile software development.FindingsThe research identifies several key themes specific to Mobile DevOps adoption, including tool integration issues, testing complexities, deployment challenges and security concerns. These findings underscore the necessity for tailored DevOps solutions that can effectively address the unique demands of mobile software development. The study also proposes actionable strategies to overcome these challenges, thereby enhancing the efficiency, quality and security of mobile applications.Practical implicationsThe insights gained from this study provide valuable guidance for practitioners in the mobile software development sector. By understanding and addressing the specific challenges of Mobile DevOps, organizations can improve their DevOps practices and achieve better outcomes in terms of project delivery speed, quality and security. For example, implementing robust testing strategies, investing in compatible tools and developing well-defined rollback procedures can significantly enhance Mobile DevOps effectiveness. Furthermore, incorporating continuous security measures and improving cross-functional collaboration can lead to more secure and efficient mobile application deployments.Social implicationsThis study offers valuable starting points for researching Mobile DevOps in real-world settings, based on insights from practical DevOps implementations in a single-case organization. Organizations can use this information to compare their own DevOps approaches with those of the studied organization, and can facilitate self-assessment and improvement.Originality/valueThis study contributes to the limited literature on Mobile DevOps adoption and proposing actionable strategies. By incorporating the TOE framework, it provides a comprehensive guide that enhances understanding and management of DevOps practices throughout the mobile application development lifecycle and offers significant value to practitioners and researchers alike.

A comparative analysis to find out the preferred and effective way to identify new Indian currency note by blind individual: A Pilot study

Purpose: The purpose of the study was to find out the preferred, accurate, and effective way to identify the new Indian currency note by a blind individual. Methods: A cross-sectional study was conducted in two phases among 30 subjects in a school for the blind. In phase 1, comparison was done in terms of accuracy and the time taken to identify the Indian currency between the old and new currency notes by using the tactile method by the blind individuals. In phase 2, comparison was done same as phase 1, with the addition of two more note identification methods, one was by using Mani note identifier application via smart phone and the other was Notex. The accuracy and time were analyzed and compared for all three used methods for both phases. Results: Thirty blind individuals were included in the study. The mean age of the subjects was 29.43 years (±10.88 years) and the age range was 18–54 years. The total time taken to identify all the currency notes in each category was recorded in seconds. The average time taken with the help of tactile sense was 75.34 s, but the accuracy here was very poor, even many currencies went unidentified. The average time taken with the help of Notex was 136.54 s. The average time taken with the help of Mani mobile note identifier software was 774.07 s. Conclusion: Notex was the most effective method of identifying Indian currency as compared to the other two methods that were used in our study.

Changes in magnetic characteristics of pipes during hydraulic and pneumatic tests of trunk pipelines

To identify the zones with the highest tensile stresses and deformations, a two-parameter magnetic method based on the measurement of coercive force and residual magnetic induction was applied. For realization of the method a mobile hardware and software complex DIUS-1.21M with an electromagnetic U-transducer was used, which was located along the pipe axis and along the pipe ring. Measurements were carried out on three pipes: in the first one magnetic characteristics were measured in the absence and under the influence of internal pressure; in the second and third ones — before the test and after the pipe fracture. It was revealed that internal pressure leads to the growth of residual magnetic induction in all zones both along the axis and along the ring, which indicates the occurrence of axial and circular tensile stresses in these zones, and the change of coercivity occurred ambiguously. It was found that fracture significantly increases the scatter of magnetic characteristics, which is explained by the complex nature of the stress-strain state of the fractured object.

Establishment and Evaluation of a Noninvasive Metabolism-Related Fatty Liver Screening and Dynamic Monitoring Model: Cross-Sectional Study.

Metabolically associated fatty liver disease (MAFLD) insidiously affects people's health, and many models have been proposed for the evaluation of liver fibrosis. However, there is still a lack of noninvasive and sensitive models to screen MAFLD in high-risk populations. The purpose of this study was to explore a new method for early screening of the public and establish a home-based tool for regular self-assessment and monitoring of MAFLD. In this cross-sectional study, there were 1758 eligible participants in the training set and 200 eligible participants in the testing set. Routine blood, blood biochemistry, and FibroScan tests were performed, and body composition was analyzed using a body composition instrument. Additionally, we recorded multiple factors including disease-related risk factors, the Forns index score, the hepatic steatosis index (HSI), the triglyceride glucose index, total body water (TBW), body fat mass (BFM), visceral fat area, waist-height ratio (WHtR), and basal metabolic rate. Binary logistic regression analysis was performed to explore the potential anthropometric indicators that have a predictive ability to screen for MAFLD. A new model, named the MAFLD Screening Index (MFSI), was established using binary logistic regression analysis, and BFM, WHtR, and TBW were included. A simple rating table, named the MAFLD Rating Table (MRT), was also established using these indicators. The performance of the HSI (area under the curve [AUC]=0.873, specificity=76.8%, sensitivity=81.4%), WHtR (AUC=0.866, specificity=79.8%, sensitivity=80.8%), and BFM (AUC=0.842, specificity=76.9%, sensitivity=76.2%) in discriminating between the MAFLD group and non-fatty liver group was evaluated (P<.001). The AUC of the combined model including WHtR, HSI, and BFM values was 0.900 (specificity=81.8%, sensitivity=85.6%; P<.001). The MFSI was established based on better performance at screening MAFLD patients in the training set (AUC=0.896, specificity=83.8%, sensitivity=82.1%) and was confirmed in the testing set (AUC=0.917, specificity=89.8%, sensitivity=84.4%; P<.001). The novel MFSI model was built using WHtR, BFM, and TBW to screen for early MAFLD. These body parameters can be easily obtained using a body fat scale at home, and the mobile device software can record specific values and perform calculations. MFSI had better performance than other models for early MAFLD screening. The new model showed strong power and stability and shows promise in the area of MAFLD detection and self-assessment. The MRT was a practical tool to assess disease alterations in real time.

Mobile software for automated segmentation, counting, and management of wood logs

This article presents a software solution for object counting, aiming to simplify the quantification process across various domains. Accurate and efficient object counting plays a crucial role in numerous applications such as inventory management, crowd monitoring, quality control, resource planning, statistical analysis, and operational efficiency. The proposed solution uses image generation algorithms that employ Conditional Generative Adversarial Networks (CGANs) as the primary machine learning tool in computer vision and image processing techniques to automate the counting process. This offers a reliable and time-saving alternative to manual counting methods. CGANs are particularly effective for this task due to their ability to generate precise segmentations of objects in images. These networks are trained using a large dataset of labeled images, allowing the model to learn to segment objects with high accuracy. During training, the images generated by the CGANs are compared with real images to ensure the accuracy of the results. The application of this software holds great potential for assisting in object quantification tasks across multiple domains. For instance, in inventory management, accurate item counting can lead to better stock management and cost savings. In crowd monitoring, the ability to count people accurately can be crucial for public safety and event management. In quality control, precise counting of products can ensure high standards and reduce waste. Additionally, in resource planning and statistical analysis, efficient and accurate data collection can significantly improve decision-making processes. Therefore, the implementation of this object counting software based on CGANs promises not only to enhance operational efficiency but also to improve economic savings and data accuracy, benefiting a wide range of industries and applications.

Enhancing Mobile Software Developer Selectionthrough Integrated F-AHP and F-TOPSISMethods

Enhancing Mobile Software Developer Selectionthrough Integrated F-AHP and F-TOPSISMethods

Mobile forensics tools and techniques for digital crime investigation: a comprehensive review

&lt;p&gt;Extracting and analyzing data from smartphones, IoT devices, and drones is crucial for conducting digital crime investigations. Effective cyberattack mitigation necessitates the use of advanced Android mobile forensics techniques. The investigation necessitates proficiency in manual, logical, hex dump, chip-off, and microread methodologies. This paper provides a comprehensive overview of Android mobile forensics tools and techniques for digital crime investigation, as well as their use in gathering and analyzing evidence. Forensic software tools like Cellebrite UFED, Oxygen Forensic Detective, XRY by MSAB, Magnet AXIOM, SPF Pro by SalvationDATA, MOBILedit Forensic Express, and EnCase Forensic employ both physical and logical techniques to retrieve data from mobile devices. These advanced tools offer a structured approach to tackling digital crimes effectively. We compare dependability, speed, compatibility, data recovery accuracy, and reporting. Mobile-network forensics ensures data acquisition, decryption, and analysis success. Conclusions show that Android mobile forensics tools for digital crime investigations are diverse and have different capabilities. Mobile forensics software offers complete solutions, but new data storage and encryption methods require constant development. The continuous evolution of forensic software tools and a comprehensive tool classification system could further enhance digital crime investigation capabilities.&lt;/p&gt;

THE USE OF INNOVATIVE TECHNOLOGY IN TEACHING SPEAKING SKILLS TO ELEMENTARY SCHOOL TEACHER EDUCATION STUDENTS

This research aims to explore innovative technology in teaching speaking skills to elementary school teacher education students in Universitas Majalengka such as mobile applications, computer software, and online platforms, which can be integrated effectively into the learning process to improve students’ speaking skills. This research covers aspects such as the teaching methods used, the most effective types of technology, challenges faced in implementation, and students' perceptions and responses to using technology in learning speaking skills. The research method used is qualitative research with a case study research design through classroom observation and interviews to determine the obstacles, strategies, and results of evaluations carried out by students. Participants in the research involved students in the elementary school teacher education study program. The research results show that innovative technology teaching speaking skills has various advantages. However, challenges must be overcome, such as limited access to technology, teacher readiness to integrate technology into teaching, and adapting the curriculum and relevant teaching methods. In conclusion, innovative technology in teaching speaking skills has great potential to improve students' speaking skills. However, efforts are needed to overcome technology-related challenges and ensure effective integration into the curriculum.

Design of Bionic Eye and Artificial Vision System a Unique Project Mobile Bio-Eye-Tronic System.

This article introduces the “Mobile Bio-Eye-Tronic System” which is an artificial vision system for the impaired (blind) people and also low vision (sight loss) people. “Mobile Bio-Eye-Tronic System” is a completely original project and unique to the author of this article. There are 45 million visually impaired (blind) people in the world and 135 million low vision (sight loss) people. 60% of blindness in the world is treatable and 20% is preventable. 25 million people are blind in Europe, 12 million in America, 9 million in India, 6 million in China, and 7 million in Africa. In Turkey, this number is approximately 300 thousand. Based on these statistics, the main aim of this article is to appeal to hundreds of thousands of people, to help them fulfill their daily activities, even partially, to improve the quality of life of these visually impaired people and to restore their health. In addition, the scientific and technical studies to be carried out on this subject will contribute to the enrichment of the literature on the subject and will also be beneficial for scientific and technical progress. When the current studies on bionic eyes are examined, there is no other system in the literature that obtains results using a mobile phone camera and software. The bionic eye stated in this article will be a first in this respect.

Design of Bionic Eye and Artificial Vision System; a Unique Project “Mobile Bio-Eye-Tronic System”

This article introduces the “Mobile Bio-Eye-Tronic System” which is an artificial vision system for the impaired (blind) people and also low vision (sight loss) people. “Mobile Bio-Eye-Tronic System” is a completely original project and unique to the author of this article. There are 45 million visually impaired (blind) people in the world and 135 million low vision (sight loss) people. 60% of blindness in the world is treatable and 20% is preventable. 25 million people are blind in Europe, 12 million in America, 9 million in India, 6 million in China, and 7 million in Africa. In Turkey, this number is approximately 300 thousand. Based on these statistics, the main aim of this article is to appeal to hundreds of thousands of people, to help them fulfill their daily activities, even partially, to improve the quality of life of these visually impaired people and to restore their health. In addition, the scientific and technical studies to be carried out on this subject will contribute to the enrichment of the literature on the subject and will also be beneficial for scientific and technical progress. When the current studies on bionic eyes are examined, there is no other system in the literature that obtains results using a mobile phone camera and software. The bionic eye stated in this article will be a first in this respect. [1-29]