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Technology-augmented choice-making impacts many facets of business. The use of economic incentives under the ubiquitous mobile ecosystem for prosocial behavior has been shown to be particularly effective. He build on the previous work on this topic and study how mobile-based economic incentives and environments influence charitable giving behavior. In contrast to traditional fund-raising, we consider the use of mobile devices to generate giving in small denominations, which we term microgiving. In collaboration with a US-based mobile app provider, we incorporated a functionality that allowed users to contribute their in-app reward points to charity. To encourage donations, we used economic incentives in the form of monetary subsidies, i. e., rebates or matching grants, as well as digital nudges in the form of push notifications. ITe studied the effects of these factors on giving behavior across two large-scale field experiments. Focusing on the different aspects of smartphones that could differentially impact charitable giving behavior--namely the intensely private and personal nature of smartphones--we examined how the visibility of donation decisions affects giving behavior by toggling audience effects. Our results show that the effectiveness of incentives is contingent upon the magnitude of the incentive as well as the extent to which individual decisions are visible to others. To situate our results in relation to the traditional medium of charitable giving, we propose an analytical model that internalizes the subsidy rates and the audience effect. This study provides initial empirical evidence and an analytical model to advance technology-augmented charitable giving that can provide insights to organizations and senice providers. [ABSTRACT FROM AUTHOR]

BackgroundPersons with HIV (PWH) with high mobility face obstacles to HIV care engagement and viral suppression. We sought to understand whether a patient-centered intervention for mobile PWH would improve viral suppression and retention in care, and if so, which subgroups would benefit most.MethodsIn a randomized trial, we evaluated the effect of an intervention designed to address barriers to care among mobile (≥2 weeks out of community in previous year) PWH with viral nonsuppression or recent missed visits in Kenya and Uganda (NCT04810650). The intervention included dynamic choice of a "travel pack" (emergency antiretroviral therapy [ART] supply, discrete ART packaging, and travel checklist), multimonth and offsite refills, facilitated transfer to out-of-community clinics, and hotline access to a mobility coordinator. The primary outcome was viral suppression (

This study aimed to evaluate the developed Mathematics Online Mobile Interactive Material (MOMIM) for Grade 10 students in San Jose National High School, Antipolo City during S.Y. 2022-2023. The developed interactive material was evaluated by the fifteen (15) experts consist of Mathematics Master teachers and ICT coordinators, and fifteen (15) Mathematics teachers from San Jose National High School, Division of Antipolo City. The finding showed that the Mathematics teachers and expert respondents both agreed that the developed MOMIM (Mathematics Online Mobile Interactive Material) had Very High Acceptability with regard to pedagogical aspects, quality of content, technical aspect, and practice/assessment/feedback, with a grand weighted mean of 3.79 and 3.78, respectively. In addition, there was no significant difference between the evaluations of the two groups of respondents on the developed MOMIM (Mathematics Online Mobile Interactive Material). The respondents commented that the material was properly sequenced, used manipulative data, very enjoyable and fun to play, and was good for the review and recall of the students. Meanwhile, they suggested to include questions focusing on the skills to be developed by the non-numerates, provide more exercises, and improve the font size. [ABSTRACT FROM AUTHOR]

Background: The use of mobile applications helps improving self-management in adolescents with asthma. However, no evidence is available for children with preschool wheezing. In addition, we have no data on the reliability of medical history collected at visits. The first aim was to assess the feasibility of a smartphone app in the management of preschool wheezing; secondly we aimed to evaluate the reliability of anamnestic data collected during face-to-face medical interviews. Methods: Children with recurrent wheezing, age between 25 and 72 months, were randomly assigned to the intervention group, provided with a smartphone app for symptoms monitoring and asthma attack treatment, or to the control group, with a written action plan. At follow-up medical history was collected and the asthma control test and a clinical questionnaire were completed. App acceptability was also explored. Respiratory symptoms, medication and utilization of healthcare resources were collected. Plus, medical information obtained from the paper questionnaires was compared with data daily recorded by the app. Results: We enrolled 85 preschool children with recurrent wheezing: 43 assigned to the intervention and 42 to the control group. The average (SD) adherence to e-Diary compilation was 60 (15)%. The acceptance and usability of the intervention was favorable as 70% and 93% of participants in the intervention arm described the app as ''simple and intuitive" at Visit1 (after 3 months from enrollement) and Visit2 (3 months later than Visit1), respectively and 95% and 98% found it useful in symptoms management. There were no significant differences between the two groups in clinical outcomes. At Visit1, the cACT median score (IQR) was 23,5 (21–25) for the control group (42 patients) and 23 (21–24) for the intervention group (43 patients). At Visit2 (41 controls and 42 in the intervention group) it was 25 (24–25) and 24 (24–25), respectively. Secondary analysis of data from the intervention group showed higher incidence of daily symptoms recorded by the app in comparison with the paper questionnaire, suggesting that collection of retrospective medical history may not be completely reliable. Conclusions: The smartphone app is usable and acceptable by families of preschool wheezers. Future controlled trial are needed to prove an impact on clinical outcomes or its efficacy in a telemedicine program. Finally a daily questionnaire could provide physicians with a more reliable clinical picture as reflected better daily asthma symptoms than the written retrospective questionnaire filled at clinical visit. [ABSTRACT FROM AUTHOR]

Technological tools, like electroencephalography and functional near‐infrared spectroscopy, have deepened our understanding of cortical regions involved in balance control. In this systematic literature review, we aimed to identify the prevalent cortical areas activated during balance tasks with specific motor or cognitive demands. Our search strategy encompassed terms related to balance control and cortical activity, yielding 2250 results across five databases. After screening, 67 relevant articles were included in the review. Results indicated that manipulations of visual and/or somatosensory information led to prevalent activity in the parietal, frontal and temporal regions; manipulations of the support base led to prevalent activity of the parietal and frontal regions; both balance‐cognitive dual‐tasking and reactive responses to extrinsic perturbations led to prevalent activity in the frontal and central regions. These findings deepen our comprehension of the cortical regions activated to manage the complex demands of maintaining body balance in the performance of tasks posing specific requirements. By understanding these cortical activation patterns, researchers and clinicians can develop targeted interventions for balance‐related disorders. [ABSTRACT FROM AUTHOR]

[Objective] The study aims to investigate the effect of mobile ceramic thick film heat source dense oven in solving the problems of high energy consumption, high carbon emission and unstable quality of tobacco leaves after drying in ordinary coal-fired intensive oven. [Method] A mobile dense oven was developed by introducing ceramic thick film heating technology, which was compared with the ordinary coal-fired intensive oven in terms of flue-cured tobacco energy consumption, temperature control accuracy and tobacco leaf baking effect. [Result] Compared with the ordinary coal-fired intensive oven, the mobile ceramic thick film heat source intensive oven reduced the average cost by 1. 52 yuan / kg, the energy saving and efficiency increase were significant, the baking temperature control accuracy was high, and the sugar-alkali ratio of tobacco leaves after roasting was more harmonious. [Conclusion] The mobile ceramic thick film heat source dense baking room has the advantages of being mobile, time-saving, labor-saving, and pollution-free, and has a good prospect for popularization and application. [ABSTRACT FROM AUTHOR]

In an increasingly mobile-centric world, how banks effectively engage consumers through mobile advertising is a pressing issue. This study aims to accomplish two objectives: The first is to assess how consumers respond to mobile advertising from banks, specifically via SMS, based on Ducoffe's advertising value model, and the second is to examine the moderating effect of mobile users' information privacy concerns (MUIPC) between consumer attitudes and acceptance of mobile advertising. Using a survey with 413 usable responses from individuals who have received SMS advertisements from banks, which were analyzed using partial least squares structural equation modeling (PLS-SEM), the study found that entertainment and informativeness significantly enhance advertising value, whereas irritation does not. Furthermore, advertising value positively shapes consumer attitudes toward, and acceptance of, SMS advertising from banks. Notably, MUIPC moderates the relationship between attitudes and acceptance behavior. Taken together, this study advances our understanding of consumer behavior in mobile advertising in the banking sector and underscores the need for balancing advertising value with privacy concerns. [ABSTRACT FROM AUTHOR]

Atrial fibrillation (AF) is among the most prevalent types of arrhythmia, leading to severe complications such as heart failure and stroke, thus increasing rates of mortality and disability. Silent AF, which lacks clinical symptoms and has irregular onset, tends to have a low diagnosis rate and often experiences delays in receiving standardized treatments, resulting in negative clinical outcomes. Recent clinical studies highlight the significant benefits of wearable devices in the screening and management of silent AF. In this article, we review the clinical outcomes, cost-effectiveness, challenges and future application prospects of wearable devices in the detection and management of silent AF based on relevant domestic and international literature of recent years to provide more evidence-based support for its further applications.

Background: Dermatoscopy is a noninvasive method of examining skin lesions under high magnification, gradually replacing the need for invasive biopsies. Training is required to gain clinical competency. Gamification employs game-like elements to enhance education engagement and is an engaging means of delivering medical education. We sought to use gamification and a mobile-based platform to deliver dermatoscopy education to physicians. Methods: We developed SKIN@GoPRIME, an interactive smartphone platform. Thirty physician participants were randomly assigned to watch an online dermatoscopy lecture or to use SKIN@GoPRIME. Twenty-eight participants completed prelearning and postlearning quizzes and provided feedback on SKIN@GoPRIME. Results: Users of SKIN@GoPRIME demonstrated a significant 1.71-point mean score improvement (P = .0018). The group that watched the online dermatoscopy lecture had a higher 2.36-point mean score improvement (P = .00021). Both family medicine and internal medicine physicians demonstrated a significant mean score increase of 1.29 (P = .049) and 2.14 (P = .023), respectively, after using SKIN@GoPRIME. Based on feedback, 83% believed that SKIN@GoPRIME can be used to acquire the applied competencies required for their job scope. Discussion and Conclusion: SKIN@GoPRIME, a novel learning tool via gamification effectively delivers dermatoscopy education, although it is not shown to be more effective than lectures. Larger studies are required to further validate the effectiveness of gamified learning techniques in dermatoscopy education. Future studies should involve the optimization of SKIN@GoPRIME to more effectively deliver dermatoscopy education.

The implementation of PWA as a necessary feature aims to provide added value and enhance website performance. This is intended to address several common issues in websites, such as limitations in displaying pages offline and the cost of developing native applications across various operating system platforms, both for desktop and mobile devices. Data collection methods involve literature studies and direct measurements using various tools. Testing conducted includes installation testing, evaluation of PWA criteria, performance, size of transferred resources, and offline mode. Components used in PWA include the web app manifest, service worker, and cache storage. PWA implementation involves creating a web app manifest, service worker registration, service worker configuration, adding script tags, creating specific routes within the website using Express.js, and PWA testing. Test results indicate that the website can be installed and used effectively on various types of devices, both mobile and desktop, and can be accessed in offline mode or with unstable connections.

This study developed and evaluated a mobile application for infrastructure rental at the Quality Assurance Agency for Education (BPMP) in West Papua using the Design Science Research (DSR) approach in the field of Information Systems (IS). This application, the first designed specifically for the needs of BPMP West Papua and integrated with the existing system, was assessed based on usability and user acceptance through interviews, black box testing, and effectiveness testing using Structural Equation Modeling (SEM) with the Technology Acceptance Model (TAM) approach. The black box testing results indicated successful application development. Evaluation with 64 respondents through hypothesis testing showed that social influence and technological anxiety significantly affect attitudes toward accepting the use of the application. This highlights the importance of considering these factors for the successful implementation of the mobile application at BPMP West Papua, potentially enhancing the efficiency of infrastructure rental.

With the proliferation of wound assessment apps across various app stores and the increasing integration of artificial intelligence (AI) in healthcare apps, there is a growing need for a comprehensive evaluation system. Current apps lack sufficient evidence-based reliability, prompting the necessity for a systematic assessment. The objectives of this study are to evaluate the wound assessment and monitoring apps, identify limitations, and outline opportunities for future app development. An electronic search across two major app stores (Google Play store, and Apple App Store) was conducted and the selected apps were rated by three independent raters. A total of 170 apps were discovered, and 10 were selected for review based on a set of inclusion and exclusion criteria. By modifying existing scales, an app rating scale for wound assessment apps is created and used to evaluate the selected ten apps. Our rating scale evaluates apps' functionality and software quality characteristics. Most apps in the app stores, according to our evaluation, do not meet the overall requirements for wound monitoring and assessment. All the apps that we reviewed are focused on practitioners and doctors. According to our evaluation, the app ImitoWound got the highest mean score of 4.24. But this app has 7 criteria among our 11 functionalities criteria. Finally, we have recommended future opportunities to leverage advanced techniques, particularly those involving artificial intelligence, to enhance the functionality and efficacy of wound assessment apps. This research serves as a valuable resource for future developers and researchers seeking to enhance the design of wound assessment-based applications, encompassing improvements in both software quality and functionality. [ABSTRACT FROM AUTHOR]

The increase in signature forgery cases can be attributed to the escape of forged signatures from manual signature verification systems. Researchers have developed various machine learning and deep learning methods to verify the authenticity of signatures, one of which uses convolutional neural networks (CNNs). This research aims to develop a mobile application for handwritten signature verification using CNN architecture by adding a batch normalization technique to its layer. The performance of our proposed method achieved a verification accuracy of 86.36%, with a 0.061 false acceptance rate (FAR), 0.303 false rejection rate (FRR), and 0.182 equal error rate (EER), which is compatible to be embedded in smartphones. However, there is still a need for further development of the CNN model and its integration with mobile applications. [ABSTRACT FROM AUTHOR]

Early detection of diseases and pests is a key factor in eradicating or minimising the damage that these may cause. In this work, a comprehensive solution is presented that is based on the composition of existing cloud solutions and mobile tools to detect in-situ issues. The platform presented was used for the detection of powdery mildew and Cladosporium diseases in tomatoes. The results of using the approach to carry out this task were more than satisfactory since it managed to correctly detect the symptoms, having mAP of 0.41 in at least some of these symptoms. We analysed the performance of our dataset, on the one hand, and the combination of PlantDoc dataset, on the other hand. This shows that the platform can be used in the agriculture sector, as an additional tool for detecting diseases and pests in order to combat the problem and reduce its consequences. [ABSTRACT FROM AUTHOR]

Purpose of Review: As society continues to advance in technology, it is important to address how this advancement can impact and enhance patient care. The purpose of this review is to identify patient-centered technology currently available for adult and pediatric patients with and those having survived hematologic malignancies. Given that patients with hematologic malignancies often have to adhere to strenuous medication regimens, coordinate care with many different providers, manage symptoms associated with treatment, and manage late effects associated with survivorship, they would benefit greatly from patient-centered technology aimed at decreasing these burdens. Recent Findings: This review found various available digital interventions for this patient population and focuses on an overview of commercially available smartphone applications, patient portals, and technology for remote monitoring. Summary: In summary, many digital interventions exist for use in the medical care of oncology patients. The incorporation of these interventions can allow for more personalized medical care, better organization of treatment plans by caregivers at home, and easy delivery of accurate medical information. [ABSTRACT FROM AUTHOR]

Technologies and social networks have modified the habits of their users, affecting their health and well-being. An exponent of these affectations of daily life is the phenomenon of vamping, this is the habit in which people use their mobile or computer during the night and early morning, with the consequence of symptoms such as insomnia, fatigue, and mood swings in those who practice it. In this paper, we propose a scale to assess the tendency to vamping in adults, for its validation in the Argentine context. With a sample of 1004 cases, whose mean age was 44.29 years (SD = 11.73) and a mean age of 18–65 years, with 51.89% (n = 521) being women and 48.11% men (n = 483). The scale showed an adequate consistency for 11 items and two dimensions. The first dimension is nocturnal habits, that is, the tendency to stay up late to surf the Internet and social networks, and the second dimension is behavioural commitment, that is, the affectation and daytime correlate caused by changes in sleep pattern. [ABSTRACT FROM AUTHOR]

Background: Ultraviolet (UV)‐exposure behaviors can directly impact an individual's skin cancer risk, with many habits formed during childhood and adolescence. We explored the utility of a photoaging smartphone application to motivate youth to improve sun safety practices. Methods: Participants completed a preintervention survey to gather baseline sun safety perceptions and behaviors. Participants then used a photoaging mobile application to view the projected effects of chronic UV exposure on participants' self‐face image over time, followed by a postintervention survey to assess motivation to engage in future sun safety practices. Results: The study sample included 87 participants (median [interquartile (IQR)] age, 14 [11–16] years). Most participants were White (50.6%) and reported skin type that burns a little and tans easily (42.5%). Preintervention sun exposure behaviors among participants revealed that 33 (37.9%) mostly or always used sunscreen on a sunny day, 48 (55.2%) experienced at least one sunburn over the past year, 26 (30.6%) engaged in outdoor sunbathing at least once during the past year, and zero (0%) used indoor tanning beds. Non‐skin of color (18 [41.9%], p =.02) and older (24 [41.4%], p =.007) participants more often agreed they felt better with a tan. Most participants agreed the intervention increased their motivation to practice sun‐protective behaviors (wear sunscreen, 74 [85.1%]; wear hats, 64 [74.4%]; avoid indoor tanning, 73 [83.9%]; avoid outdoor tanning, 68 [79%]). Conclusion: The findings of this cross‐sectional study suggest that a photoaging smartphone application may serve as a useful tool to promote sun safety behaviors from a young age. [ABSTRACT FROM AUTHOR]

Serious games play a key role in the medical field, particularly in enhancing cognitive abilities in the elderly. However, the sensory organs of the elderly decline over time, and the intervention effect of traditional serious games for older adults. The objective of this study is to identify the evolution and current problems of serious game technology for the elderly by using bibliometric analysis. We selected 319 relevant documents from 2013 to 2024 from the Web of Science (WOS) database. This study uses Publish or Perish (Windows GUl Edition) and VOSviewer (1.6.20) for performance analysis and scientific charting. We deeply analyze the early trends, emerging technologies, and publication trends, including citations and journals, subject areas, and regional and institutional. Here, we identified serious games for older adults rely heavily on visual presentation, often utilizing screens for screening, rehabilitation, and therapeutic interventions. This may cause further visual impairment in older adults who are experiencing visual decline. In addition, we proposed the combination of rich tactile feedback and external devices as one of the effective solutions to the current problems for future research. [ABSTRACT FROM AUTHOR]

The number of tourists who use smartphones to make hotel reservation is continuously increasing. Nonetheless, only a few studies have investigated the attributes to make hotel reservation via mobile devices (e.g., smartphones). Hence, the present study comprehensively evaluates the attributes to make hotel reservation through mobile online travel agencies (OTAs) based on the web function design framework to identify the perceived important attributes to make hotel reservation via mobile OTAs from the perspective of tourists and to find out the possible factors with specific attributes to measure hotel reservation via mobile OTAs through an online questionnaire survey method. Findings reflect that the perceived important attributes of tourists have changed from those allowing them to meet their hierarchical needs to those supporting their nonhierarchical intertwined needs. In addition, four factors of hotel reservation via mobile OTAs are identified: hotel information provision, relationship and social media, design and layout, and consumer requests. [ABSTRACT FROM AUTHOR]

This study investigated the views of Saudi EFL students toward using English Language Learning Mobile Apps (MELLA) to learn English. A quantitative approach consisting of questionnaires was used to collect data from eighty-nine participants who shared their attitudes and perceptions about MELLAs. Questionnaire items were rated on a Likert scale which ranged from "Strongly Disagree" (1, very low) to "Strongly Agree" (5, very high). Mean Likert scale scores were used to evaluate participants' responses. The study found that Saudis' perceptions of MELLA exceeded their attitudes. Moreover, gender differences were found in Saudis' attitudes toward the use of MELLA. The highest-ranking female attitude mean scores were observed on items related to pronunciation, dictionary, and listening apps while the highest-ranking male attitude mean scores were related to dictionary, listening, and vocabulary apps. Furthermore, the Saudis' mean score for MELLA perception was higher than the mean score for MELLA attitude. Results also show that females have a higher perception than males. Finally, minor gender differences regarding MELLA perception were also found; the highest female mean scores were based on easiness and flexibility in the use of apps while males highly perceived the convenience of using an app anywhere and at any time as being most important to them. [ABSTRACT FROM AUTHOR]

Human Activity Recognition (HAR) plays an important role in the automation of various tasks related to activity tracking in such areas as healthcare and eldercare (telerehabilitation, telemonitoring), security, ergonomics, entertainment (fitness, sports promotion, human–computer interaction, video games), and intelligent environments. This paper tackles the problem of real-time recognition and repetition counting of 12 types of exercises performed during athletic workouts. Our approach is based on the deep neural network model fed by the signal from a 9-axis motion sensor (IMU) placed on the chest. The model can be run on mobile platforms (iOS, Android). We discuss design requirements for the system and their impact on data collection protocols. We present architecture based on an encoder pretrained with contrastive learning. Compared to end-to-end training, the presented approach significantly improves the developed model's quality in terms of accuracy (F1 score, MAPE) and robustness (false-positive rate) during background activity. We make the AIDLAB-HAR dataset publicly available to encourage further research. [ABSTRACT FROM AUTHOR]

Sexual violence is an act that degrades, insults, harasses, and/or attacks a person's body or reproductive function, with a serious impact on the victim's physical and mental health. In Indonesia, sexual violence against men is still under-reported despite data showing a significant increase in cases. This research aims to develop a mobile-based sexual education application called Eduseksia, which is designed to increase awareness and knowledge about sexual education, as well as reduce existing stigmas. This study uses the Design Thinking method which consists of five stages: empathy, definition, ideate, prototyping, and testing. In the empathy stage, the user's needs are identified through interviews and analysis of similar app reviews. The definition stage formulates the problems and needs obtained, followed by the ideation stage to produce creative solutions. The resulting prototype was tested using Usability Testing (UT) and System Usability Scale (SUS). The results showed that the Eduseksia app got an average score of 96 on SUS, which indicates an excellent level of usability. This application is easy to use and effective in conveying sexual education information. The app's design meets aesthetic requirements and supports educational goals with clear navigation and relevant content. Feedback from users provides important insights for further improvement. [ABSTRACT FROM AUTHOR]

Background: The high maternal and neonatal mortality rate in sub‐Saharan Africa could be reduced by using navigation by means of mobile devices to increase the number of women who choose to give birth in a health center (HC) with a skilled healthcare practitioner. Methods: A quasi‐experimental design was used to test a midwife‐delivered navigation by means of mobile phone. A total of 208 women were randomized to two groups (intervention and control). Women in the intervention group received up to three navigation calls from midwives. Women in the control group received usual antenatal education during prenatal visits. Data were collected using semistructured questionnaires. Childbirth location was determined through medical records. Results: Overall, 180 (87%) women gave birth in a HC with a 3% advantage for the intervention group. A total of 86% (88/102) of the control group gave birth in a HC versus 89% (92/103) for the intervention group (Χ2 = 0.44, p‐value = 0.51), with an unadjusted odds ratio of 1.33 (95% CI: 0.57, 3.09). Among those with personal phones, 91% (138/152) had a birth in a HC versus 79% (42/53) in those without a personal phone (Χ2 = 4.89, p‐value = 0.03). Conclusions: The results of this study indicate that it is feasible to deliver phone‐based navigation to support birth in a HC; personal phone ownership may be a factor in the success of this strategy. [ABSTRACT FROM AUTHOR]

Millions of users nowadays rely on their smartphones to process sensitive data through apps from various vendors and sources. Therefore, it is vital to assess these apps for security vulnerabilities and privacy violations. Information such as to which server an app connects through which protocol, and which algorithm it applies for encryption, are usually encoded as variable values and arguments of API calls. However, extracting these values from an app is not trivial. The source code of an app is usually not available, and manual reverse engineering is cumbersome with binary sizes in the tens of megabytes. Current automated tools, however, cannot retrieve values that are computed at runtime through complex transformations. In this article, we present ValDroid, a novel static analysis tool for automatically extracting the set of possible values for a given variable at a given statement in the Dalvik byte code of an Android app. We evaluate ValDroid against existing approaches (JSA, Violist, DroidRA, Harvester, BlueSeal, StringHound, IC3, and COAL) on benchmarks and 794 real-world apps. ValDroid greatly outperforms existing tools. It provides an average F1 score of more than 90%, while only requiring 0.1 s per value on average. For many data types including Network Connections and Dynamic Code Loading, its recall is more than twice the recall of the best existing approaches. [ABSTRACT FROM AUTHOR]

In recent years, indoor or at-home sports have experienced significant growth. However, monotony is a common challenge in these static physical activities. Exergames, a genre of video games that combines physical activity and entertainment, have emerged as an attractive solution. Nevertheless, running on a treadmill and engaging in other activities simultaneously presents additional challenges. The balance and concentration required during running while interacting with a video game demand a special focus on the design of the Exergame. This paper presents a mobile Exergame designed specifically for treadmill running, utilizing interaction with a smartwatch. The game offers natural environments where, through smartwatch technology, it interprets the player's movements, transforming them into running speed and interactive actions by detecting gestures within the game. The main objective is to provide users with a satisfying gaming experience tailored to the characteristics of treadmill running. Particular emphasis has been placed on prioritizing the playful component of this Exergame, recognizing its relevance in the context of treadmill running. To evaluate the achievement of objectives and the proposed hypothesis, a comparative study was conducted between the proposed Exergame and a treadmill running simulator. Participants experienced both experiences and subsequently completed the Game Experience Questionnaire (GEQ), specifically the In-game GEQ version. The results obtained indicate that participants had a better gaming experience in the Exergame than in the simulator. These findings highlight the importance of prioritizing the playful component in Exergames and provide guidelines for future improvements and developments in the field. [ABSTRACT FROM AUTHOR]

The development of modular power supplies, which are used as the main or reserve source of electricity in hard-to-reach places, or places with difficult climatic conditions for full or partial coverage of electrical loads of individual industrial and social facilities, has been studied. The main attention is paid to mobile autonomous solar and wind power plants (MASVES). The features of construction are considered and a drawing of the general appearance of such a power plant is given. Ref. 5, figure.

In recent years, some illegal activities have emerged, enabling their owners to counterfeit billions of local and international currencies. Therefore, it is necessary to combat these activities by increasing insurance awareness among the public, and upgrading the level of the banknote and the elements included in its components and means of insurance. The problem of the research represented in the difficulty recognizing and distinguishing between original and counterfeit currencies for a large segment of Egyptian society and the absence of identifying the insurance components in Egyptian currencies and limiting them to a specific segment of specialists, whether in the field of their production or circulation, such as banks. The aim of the research is developing ways of dealing with the public through the Internet and smart phone applications, easily defining and educating the public about all insurance means, and identifying whether the currencies are valid or counterfeit. Raising public awareness of the visible and invisible insurance components in Egyptian currencies to support anti-counterfeiting and counterfeiting ways and devices through the application.

Pengupasan kulit kopi basah (coffee pulping) merupakan salah satu tahapan pada pengolahan kopi. Telah tersedia berbagai jenis mesin pengupas kopi (pulper) yang dimiliki beberapa petani, namun tidak bersifat mobile karena memiliki konstruksi yang besar dan terdapat beberapa petani yang masih menggunakan mesin pengupas kopi manual yang digerakkan dengan sumber tenaga manusia. Tujuan dari penelitian ini adalah membuat sebuah desain 3 dimensi mesin pengupas kopi (pulper) basah tipe mobile. Metode dilakukan mulai dari penentuan kapasitas mesin, analisis rancangan, penentuan dimensi, pembuatan sketsa setiap bagian mesin, penentuan material hingga membentuk desain utuh yang siap disimulasikan. Hasil yang diperoleh pada penelitian ini yaitu sebuah desain 3 dimensi mesin pulper mobile yang menunjukkan bahwa mesin pengupas dipasang pada rangka modifikasi sepeda motor dan memanfaatkan tenaga putar dari ujung poros magnet flywheel enjin sepeda motor. Untuk sekali pengisian hopper ditentukan sebesar 18 kg. Sistem transmisi yang digunakan adalah pulley and belt dan mentransmisikan daya dari enjin ke unit pulper dengan tambahan poros reduksi. Putaran enjin sebesar 1200 rpm direduksi menjadi 390 rpm, sehingga silinder pengupas memiliki kecepatan putar sebesar 110 rpm. Hasil dari penelitian ini diharapkan menjadi referensi untuk pembuatan prototipe mesin pulper mobile secara fisik.

Abstract Background Effective stroke rehabilitation requires high-dose, repetitive-task training, especially during the early recovery phase. However, the usability of upper-limb rehabilitation technology in acute and subacute stroke survivors remains relatively unexplored. In this study, we introduce subacute stroke survivors to MyoGuide, a mobile training platform that employs surface electromyography (sEMG)-guided neurofeedback training that specifically targets wrist extension. Notably, the study emphasizes evaluating the platform’s usability within clinical contexts. Methods Seven subacute post-stroke patients (1 female, mean age 53.7 years, mean time post-stroke 58.9 days, mean duration per training session 48.9 min) and three therapists (one for eligibility screening, two for conducting training) participated in the study. Participants underwent ten days of supervised one-on-one wrist extension training with MyoGuide, which encompassed calibration, stability assessment, and dynamic tasks. All training records including the Level of Difficulty (LoD) and Stability Assessment Scores were recorded within the application. Usability was assessed through the System Usability Scale (SUS) and participants’ willingness to continue home-based training was gauged through a self-developed survey post-training. Therapists also documented the daily performance of participants and the extent of support required. Results The usability analysis yielded positive results, with a median SUS score of 82.5. Compared to the first session, participants significantly improved their performance at the final session as indicated by both the Stability Assessment Scores (p = 0.010, mean = 229.43, CI = [25.74–433.11]) and the LoD (p

Abstract Disruptive innovations caused by FinTech (i.e., technology-assisted customized financial services) have brought digital peer-to-peer (P2P) payments to the fore. In this challenging environment and based on theories about customer behavior in response to technological innovations, this paper identifies the drivers of consumer adoption of mobile P2P payments and develops a machine learning model to predict the use of this thriving payment option. To do so, we use a unique data set with information from 701 participants (observations) who completed a questionnaire about the adoption of Bizum, a leading mobile P2P platform worldwide. The respondent profile was the average Spanish citizen within the framework of European culture and lifestyle. We document (in this order of priority) the usefulness of mobile P2P payments, influence of peers and other social groups such as friends, family, and colleagues on individual behavior (that is, subjective norms), perceived trust, and enjoyment of the user experience within the digital context and how those attributes better classify (potential) users of mobile P2P payments. We also find that nonparametric approaches based on machine learning algorithms outperform traditional parametric methods. Finally, our results show that feature selection based on random forest, such as the Boruta procedure, as a preprocessing technique substantially increases prediction performance while reducing noise, redundancy of the resulting model, and computational costs. The main limitation of this research is that it only has a place within the sociocultural and institutional framework of the Spanish population. It is therefore desirable to replicate this study by surveying people from other countries to analyze the effects of the institutional environment on the adoption of mobile P2P payments.