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1

Khan, Muhammad Umair, Scott Uk-Jin Lee, Zhiqiang Wu, and Shanza Abbas. "Wake Lock Leak Detection in Android Apps Using Multi-Layer Perceptron." Electronics 10, no. 18 (2021): 2211. http://dx.doi.org/10.3390/electronics10182211.

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With the proliferation of mobile devices, the popularity of Android applications (apps) has increased exponentially. Efficient power consumption in a device is essential from the perspective of the user because users want their devices to work all day. Developers must properly utilize the application programming interfaces (APIs) provided by Android software development kit to optimize the power consumption of their app. Occasionally, developers fail to relinquish the resources required by their app, resulting in a resource leak. Wake lock APIs are used in apps to manage the power state of the
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Baggyalakshmi, Dr N., R. Dhanya, and Dr R. Revathi. "HR Onboarding Kit." International Academic Journal of Innovative Research 11, no. 1 (2024): 27–38. http://dx.doi.org/10.9756/iajir/v11i1/iajir1104.

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Users can automate tasks and processes within their Office 365 workflow with Microsoft Flow, now called Power Automate. There are many of organisations that rely on the many programmes that are part of Microsoft Office 365. Common Microsoft Office applications include Word, Excel, PowerPoint, Outlook, OneNote, and OneDrive. Other Microsoft products serve their purpose, but apps typically don't talk to each other and operate independently. With Power Automate/Microsoft Flow, these apps can communicate with one another and respond to events triggered by other programmes. With Microsoft Power Aut
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Du, Zhao, Shan Wang, Ziyan Deng, and Fang Wang. "Unveiling the Power of AI Fitness Apps." Journal of Global Information Management 33, no. 1 (2025): 1–28. https://doi.org/10.4018/jgim.376833.

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Artificial intelligence (AI) technologies are rapidly being deployed to develop AI-powered applications, including AI fitness apps. These AI-enhanced fitness apps are more intelligent and human-like than their conventional counterparts, offering users a highly engaging and personalized experience. However, the underlying mechanisms driving these experiences require further exploration. This research focuses on two key attributes of AI—perceived intelligence (PI) and perceived anthropomorphism (PA)—and investigates their effects on user behavioral intentions through various gratifications in th
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Wieko, Wieko, Kemal Adnan, Eka Putri Aprillia, and Dadang Mulyana Iskandar. "Implementasi Pengamanan Akses Reporting Budget Dealer Menggunakan Algoritma Kriptografi Advanced Encryption Standard (AES) pada Microsoft PowerApps." INTECOMS: Journal of Information Technology and Computer Science 7, no. 3 (2024): 901–7. http://dx.doi.org/10.31539/intecoms.v7i3.9388.

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Keamanan informasi menjadi aspek kritis dalam lingkungan digital, khususnya dalam manajemen dan pertukaran data. Penelitian ini bertujuan untuk mengimplementasikan lapisan keamanan tambahan pada Microsoft Power Apps menggunakan algoritma kriptografi Advanced Encryption Standard (AES) untuk melakukan pengecekan text yang di enkripsi dan hasil enkripsi tersebut akan dikirimkan melalui email, sehingga dapat mengamankan akses reporting budget dealer. Metodologi penelitian melibatkan pemahaman mendalam terhadap konsep AES, analisis kebutuhan keamanan, dan implementasi teknis pada Microsoft Power Ap
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Bankar, Jaitee. "Survey on Fraud App Detection Using Sentimental Analysis and Machine Learning." International Journal for Research in Applied Science and Engineering Technology 12, no. 2 (2024): 1344–46. http://dx.doi.org/10.22214/ijraset.2024.58521.

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Abstract: Ranking fraud is the practice of acting dishonestly or deceitfully to artificially improve an App's position on a popularity list in the mobile app market. In actuality, app makers are increasingly using ranking fraud. These behaviors include posting phoney app reviews or exaggerating the sales of their apps. Although the importance of combating ranking fraud has long been recognized, there is little literature and research available in this area. To achieve this, we give a thorough examination of fraud app detection in this work utilizing sentiment analysis and spam filtering and pr
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Peifer, Don. "Apps + Answers Power Struggle in the Offing." Lighting Design + Application 44, no. 10 (2014): 20–21. https://doi.org/10.1177/036063251404401007.

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Zhu, Konglin, Zexuan Liu, Lin Zhang, and Xinyu Gu. "A Mobile Application Recommendation Framework by Exploiting Personal Preference with Constraints." Mobile Information Systems 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/4542326.

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Explosive mobile applications (Apps) are proliferating with the popularity of mobile devices (e.g., smartphones, tablets). These Apps are developed to satisfy different function needs of users. Majority of existing App Stores have difficulty in recommending proper Apps for users. Therefore, it is of significance to recommend mobile Apps for users according to personal preference and various constraints of mobile devices (e.g., battery power). In this paper, we propose a mobile App recommendation framework by incorporating different requirements from users. We exploit modern portfolio theory (M
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Primasanti, Yunita. "Power Apps pada Sistem Pemodelan Pengambilan Obat di Klinik Melia PT. POMI, Paiton." Jurnal Rekavasi 10, no. 2 (2023): 21–29. http://dx.doi.org/10.34151/rekavasi.v10i2.4000.

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Digitalization is one of the important keys in increasing productivity, namely by building digital technology that improves process efficiency, product and service quality, and optimizes resource allocation, so as to reduce processing time for faster, streamlined operations, and greater customer satisfaction. as good as Power Apps. Power Apps is a service for building and deploying custom business applications that connect to your data and work across the web and mobile - without the time and expense of specialized software development. Power Apps are a number of applications, services, and co
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Vieira, Amilton, Gabriela L. Ribeiro, Victor Macedo, et al. "Evidence of validity and reliability of Jumpo 2 and MyJump 2 for estimating vertical jump variables." PeerJ 11 (January 25, 2023): e14558. http://dx.doi.org/10.7717/peerj.14558.

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Background We investigated the concurrent validity and test-retest reliability of the Jumpo 2 and MyJump 2 apps for estimating jump height, and the mean values of force, velocity, and power produced during countermovement (CMJ) and squat jumps (SJ). Methods Physically active university aged men (n = 10, 20 ± 3 years, 176 ± 6 cm, 68 ± 9 kg) jumped on a force plate (i.e., criterion) while being recorded by a smartphone slow-motion camera. The videos were analyzed using Jumpo 2 and MyJump 2 using a Samsung Galaxy S7 powered by the Android system. Validity and reliability were determined by regres
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Xu, Bin, Feng Zhai, Xiaobing Liang, Yongfeng Cao, and Bo Gao. "A Permission Control Assistant Tool Design for Smart Power Terminals." Journal of Physics: Conference Series 2401, no. 1 (2022): 012082. http://dx.doi.org/10.1088/1742-6596/2401/1/012082.

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Abstract With the rapid development of smart power terminals equipped with embedded operating systems, business APPs have emerged rapidly along with them. Since various business APPs have excessive access to system resources, this will lead to the waste of system resources, and at the same time, the system security is not guaranteed. Therefore, in this paper, based on the context-aware program access control hardware resource framework, an auxiliary tool is designed to control the access of business APPs with excessive authority. The auxiliary tool trains the model through the steps of trainin
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Soparkar, Prathamesh M. "Smart AI-Powered Language Learning App." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 10 (2024): 1–15. http://dx.doi.org/10.55041/ijsrem37788.

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Language learning is a crucial aspect of life, and AI technology has revolutionized teaching and learning. New approaches like Dulingo, Babbel, and Memrise have emerged to improve language proficiency. However, the use of AI in language learning apps is often overlooked. This paper analyzes several popular language learning apps and their presence of AI. The results show that none of the analyzed apps use machine learning, artificial intelligence, or deep learning, and they are based on predefined algorithms that do not fully utilize computational power. The paper suggests possible solutions a
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Pitcher, Graham. "RISC-V Powers IoT Apps Processor." New Electronics 51, no. 4 (2018): 7. http://dx.doi.org/10.12968/s0047-9624(23)60141-5.

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Sah, Divyanshu. "Unveiling the Power of Personalization in Health and Fitness Apps." International Journal for Research in Applied Science and Engineering Technology 12, no. 11 (2024): 755–61. http://dx.doi.org/10.22214/ijraset.2024.64980.

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In an era where individualized approaches to health and fitness are increasingly sought after, the integration of personalizationinto digital platforms has become paramount. This reviewpaper delves into the dynamic landscape of health and fitness apps, focusing on the power of personalization in enhancing user engagement, motivation, and ultimately, outcomes. We explore various strategies employed by these apps, ranging from tailored workout plans and nutrition guidance to real-time feedback and behavior tracking. Additionally, we examine the underlying technologies such as artificial intellig
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Kawaguchi, Kohei, Toshifumi Kuroda, and Susumu Sato. "Relevant markets and market power of mobile apps." Japan and the World Economy 67 (September 2023): 101209. http://dx.doi.org/10.1016/j.japwor.2023.101209.

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Vanjari, Prof S. P., Priyanka Rekhawar, Ketki Shinde, Sakshi Shinde, and Prajkta Shelke. "Fraud Apps Detection Using Sentiment Analysis and Spam Filtering." International Journal for Research in Applied Science and Engineering Technology 11, no. 3 (2023): 1975–77. http://dx.doi.org/10.22214/ijraset.2023.49724.

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Abstract: In the mobile app industry, ranking fraud is the practice of engaging in dishonest or deceitful behavior with the intention of artificially boosting an App's position on a popularity list. In fact, ranking fraud by app developers is becoming more and more common. These practices include inflating their apps' sales or uploading fake app reviews. Although the significance of preventing ranking fraud has long been understood, little knowledge and research have been done in this field. In order to do this, we present a comprehensive analysis of fraud app detection using sentiment analysi
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Chadha, Priyanka, Shirin Alavi, and Vandana Ahuja. "Mobile Shopping Apps." International Journal of Cyber Behavior, Psychology and Learning 7, no. 4 (2017): 40–55. http://dx.doi.org/10.4018/ijcbpl.2017100104.

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This article describes how the retailing business has changed drastically in the recent times. The emergence of Internet and mobile channels are primarily responsible for this. The present generation comprises of a group of consumers with strong purchasing power and superior online habits in comparison to previous generations. The younger generation is much more experienced with the Internet and mobile devices and is thus more susceptible to engage in shopping through mobile apps. These empowered consumers are keen to have consistent customer experiences and are always challenging retailers to
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Langerman, David, and Alan George. "Real-time, High-resolution Depth Upsampling on Embedded Accelerators." ACM Transactions on Embedded Computing Systems 20, no. 3 (2021): 1–22. http://dx.doi.org/10.1145/3436878.

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High-resolution, low-latency apps in computer vision are ubiquitous in today’s world of mixed-reality devices. These innovations provide a platform that can leverage the improving technology of depth sensors and embedded accelerators to enable higher-resolution, lower-latency processing for 3D scenes using depth-upsampling algorithms. This research demonstrates that filter-based upsampling algorithms are feasible for mixed-reality apps using low-power hardware accelerators. The authors parallelized and evaluated a depth-upsampling algorithm on two different devices: a reconfigurable-logic FPGA
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Giannella, Lorenza. "The power of online learning." Biochemist 39, no. 6 (2017): 42–43. http://dx.doi.org/10.1042/bio03906042.

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We live in an era where technology is embedded in everything we do. We use the Internet and various apps numerous times every day to order our favourite takeaway, keep in touch with friends and book GP appointments. In this digital age, technology is also deeply influencing education and learning, especially in science.
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R, Arun Kumar. "Fraud and Malware Detection of Apps in Google Play." International Journal for Research in Applied Science and Engineering Technology 12, no. 3 (2024): 1207–9. http://dx.doi.org/10.22214/ijraset.2024.59035.

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Abstract: Fraudulent Behaviors in Google Play, the Most Popular Android App Market, Fuel Search Rank Abuse and Malware Proliferation. To Identify Malware, Previous Work Has Focused on App Executable and Permission Analysis. In This Paper, We Introduce FairPlay, a Novel System That Discovers and Leverages Traces Left Behind by Fraudsters, to Detect Both Malware and Apps Subjected to Search Rank Fraud. FairPlay Correlates Review Activities and Uniquely Combines Detected Review Relations with Linguistic and Behavioral Signals Gleaned from Google Play App Data (87K Apps, 2.9M Reviews, and 2.4M Rev
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Jane, Motal, and Wan Ibrahim Wan Siti Aisyah. "A development of mobile application satellite link budget calculator – SATELEC." E3S Web of Conferences 479 (2024): 07006. http://dx.doi.org/10.1051/e3sconf/202447907006.

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Link Budget is a calculation of gains and losses during transmission from transmitter to receiver in each communication system. In satellite communication, the main purpose of calculating link budget is to analyse the satellite system performance. One of the parameters to measure the satellite link performance is the Carrier to Noise ratio (C/N). There are a few satellite link calculators were developed using MATLAB/GUI and website. However, there are no available apps to help student to compare the calculated satellite link budget calculator for self-study. Therefore, a mobile apps called SAT
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Baugh, MPAS, PA-C, Abigail, Victoria Reiser, AG-ACDNP, BMTCN, OCN, Jian Zhao, PhD, RN, MS, Sara Jo Klein, MS, BSN, RN, and Margaret Quinn Rosenzweig, PhD, FNP-BC, AOCNP, FAAN. "Burnout and Resiliency Among Advanced Practice Providers in Oncology Care." Journal of the Advanced Practitioner in Oncology 15, no. 2 (2024): 95–101. http://dx.doi.org/10.6004/jadpro.2024.15.2.2.

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Background: Occupational exhaustion, or burnout, is characterized with three components: emotional exhaustion, depersonalization, and sense of decreased personal accomplishment. Advanced practice providers (APPs) in oncology care are at particular risk for burnout. Methods: This was a prospective, comparative, descriptive study utilizing a convenience sample of oncology APPs who completed the Advanced Practice Provider Oncology Web Education Resource (AP-POWER; formerly Oncology Nurse Practitioner Web Education Resource, or ONc-PoWER), developed to provide educational content for new oncology
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Sivaprasad Yerneni Khaga. "Intelligent Automation with Power Platform: Transforming Office 365 Workflows with AI-Powered Solutions." Journal of Computer Science and Technology Studies 7, no. 4 (2025): 409–16. https://doi.org/10.32996/jcsts.2025.7.4.49.

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The integration of artificial intelligence within Microsoft's Power Platform represents a transformative shift in Office 365 workflow automation. This article explores how Power Apps, Power Automate, and Power BI leverage AI capabilities to streamline business processes with minimal coding requirements. Through AI Builder's prebuilt models and the synergy between Power Automate and Graph API, organizations can develop sophisticated automation solutions that enhance productivity across SharePoint-based environments. The introduction of Copilot in Power Apps marks a significant advancement, enab
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Silva, Rui, Markel Rico-González, Ricardo Lima, Zeki Akyildiz, José Pino-Ortega, and Filipe Manuel Clemente. "Validity and Reliability of Mobile Applications for Assessing Strength, Power, Velocity, and Change-of-Direction: A Systematic Review." Sensors 21, no. 8 (2021): 2623. http://dx.doi.org/10.3390/s21082623.

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This systematic review aimed to (1) identify and summarize studies that have examined the validity of apps for measuring human strength, power, velocity, and change-of-direction, and (2) identify and summarize studies that have examined the reliability of apps for measuring human strength, power, velocity, and change-of-direction. A systematic review of Cochrane Library, EBSCO, PubMed, Scielo, Scopus, SPORTDiscus, and Web of Science databases was performed, according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. From the 435 studies initially id
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Behera, Mukti Prakash, Tanmoy Deb, and KDV Prasad. "App atmospherics, personality factors and technology acceptance behaviour towards the adoption of mobile banking apps – a systematic literature review." Revista de Gestão e Secretariado (Management and Administrative Professional Review) 14, no. 10 (2023): 17336–62. http://dx.doi.org/10.7769/gesec.v14i10.2939.

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Mobile banking apps have become increasingly popular in recent years, providing customers with a convenient and secure way to manage their finances. These apps have transformed the way we conduct financial transactions and have revolutionized the banking industry. However, despite the widespread adoption of mobile banking apps, there is still a significant gap in our understanding of the factors that influence customers' acceptance of these apps. This systematic literature review aims to provide a comprehensive overview of the current state of research in this area based on app atmospherics, p
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Tseng, Chun Hsiung, Yung Hui Chen, Yan Ru Jiang, Chu Chun Chuang, Jia Hua Wu, and Han Ci Syu. "APP Rush, a Platform of Learning APP Development Skills for Information Management Students." Applied Mechanics and Materials 764-765 (May 2015): 843–47. http://dx.doi.org/10.4028/www.scientific.net/amm.764-765.843.

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Developing useful apps has never been an easy task. Although modern mobile phones/tablets have more and more computation power, it is still not possible to treat them as real computers. Hence, many apps rely on external components to provide services. However, this complicates the development of apps. Unlike students in the computer science department, information management students do not have equally solid programming background. App development related courses have a more rigid learning curve for them. In this paper, APPRush, a platform for developing usable apps and for learning app desig
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Mahmoud Almasri, Abdullah, and Luis Borges Gouveia. "Star-rating evaluation model for rating the energy-efficiency level of android google play apps." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 2 (2021): 1599. http://dx.doi.org/10.11591/ijece.v11i2.pp1599-1612.

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The tremendous increase in smartphone usage is accompanied by an increase in the need for more energy. This preoperational relationship between modern technology and energy generates energy-greedy apps, and therefore power-hungry end users. With many apps falling under the same category in an app store, these apps usually share similar functionality. Because developers follow different design and development schools, each app has its energy-consumption habits. Since apps share similar features, an end-user with limited access to recharging resources would prefer an energy-friendly app rather t
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Abdullah, Mahmoud Almasri, and Borges Gouveia Luis. "Star-rating evaluation model for rating the energy-efficiency level of android google play apps." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 2 (2021): 1599–612. https://doi.org/10.11591/ijece.v11i2.pp1599-1612.

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The tremendous increase in smartphone usage is accompanied by an increase in the need for more energy. This preoperational relationship between modern technology and energy generates energy-greedy apps, and therefore power-hungry end users. With many apps falling under the same category in an app store, these apps usually share similar functionality. Because developers follow different design and development schools, each app has its energy-consumption habits. Since apps share similar features, an end-user with limited access to recharging resources would prefer an energy-friendly app rather t
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Khan, Sharaf Anjum, Nazat Al Humaidy, Farjana Akter Airin, and Md Salim Shadman Mukib. "The Increasing Rate of Inappropriate Bangla Apps in Google Play Store." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 2149–57. http://dx.doi.org/10.22214/ijraset.2022.48377.

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Abstract: The increasing rate of inappropriate Apps in Google Play Store is a matter of concern as it is highly unethical and the increasing rate is alarming. The prime focus of the research is to explore the responsible determinants behind developing inappropriate apps in Google Play Store and the motive behind developing those apps. Applying the determinants and motive the researchers will construct a dynamic behavioral pattern which will be very understandable and helpful for the community who use Google Play Store. The study worked on quantitative data and it’s a descriptive study. So, a p
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Du, Li, Vera Lúcia Raposo, and Meng Wang. "COVID-19 Contact Tracing Apps: A Technologic Tower of Babel and the Gap for International Pandemic Control." JMIR mHealth and uHealth 8, no. 11 (2020): e23194. http://dx.doi.org/10.2196/23194.

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As the world struggles with the new COVID-19 pandemic, contact tracing apps of various types have been adopted in many jurisdictions for combating the spread of the SARS-CoV-2 virus. However, even if they are successful in containing the virus within national borders, these apps are becoming ineffective as international travel is gradually resumed. The problem rests in the plurality of apps and their inability to operate in a synchronized manner, as well as the absence of an international entity with the power to coordinate and analyze the information collected by the disparate apps. The risk
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Gupta, Vedant. "Obsolete or Opportunity? Challenging Perceptions of Device Usefulness." International Journal for Research in Applied Science and Engineering Technology 12, no. 2 (2024): 1250–56. http://dx.doi.org/10.22214/ijraset.2024.58483.

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Abstract: Obsolete devices add to the rising levels of electronic waste, a major environ- mental concern, and a contributing factor to climate change. In recent years, device manufacturers have established environmental commitments and launched initiatives such as supporting the recycling of obsolete devices by making more ways available for consum- ers to safely dispose of their old devices. However, little support is available for individuals who want to continue using legacy or ‘end-of-life’ devices and few studies have explored the usefulness of these older devices, the barriers to their c
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Talamayan, Fernan, Lieke Visser, Babatunde Olowokure, Nancy Wong, and Wenyajing Zhang. "Harnessing the power of mobile and messaging apps for risk communication and intervention during the COVID-19 pandemic: lessons from the Western Pacific." Western Pacific Surveillance and Response Journal 15, no. 3 (2024): 09–13. http://dx.doi.org/10.5365/wpsar.2024.15.3.1156.

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Problem: The spread of mis- and disinformation on mobile and messaging apps during the COVID-19 pandemic not only fuelled anxieties and mistrust in health authorities but also undermined the effectiveness of the overall public health response. Context: Mobile and messaging apps help users stay informed and connected to their families, friends, colleagues and communities. However, during the COVID-19 pandemic, these apps were also one of the primary channels where mis- and disinformation were circulated. Action: Recognizing the importance of including mobile and messaging apps in risk communica
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S, Vijaya Kumar R., and Harish Babu S. "Investor’s preference toward mobile stock trading applications." BOHR International Journal of Finance and Market Research 2, no. 1 (2023): 57–60. http://dx.doi.org/10.54646/bijfmr.2023.22.

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In the age of digitization, mobile stock trading has gained popularity quickly. This study sought to determine which mobile trading app was the most popular, why users preferred certain trading apps, and what issues users ran into when trading on their mobile apps. To examine the primary data, this study included factor analysis and the Duncan test. The study consists of 85 convenient sampling of Bangalore city. The findings indicate a significant positive relationship between attitude, perceived behavioral control, trading app, more information, network speedand connectivity, superficial bene
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Łopata, Grzegorz, and Konrad Gromaszek. "Comparative analysis of Microsoft’s ,,low-code” programming technology." Journal of Computer Sciences Institute 31 (June 30, 2024): 109–15. http://dx.doi.org/10.35784/jcsi.6075.

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According to various investigations, ‘low code’ platforms will form a large part of software development’s market in the future. In that research paper was executed a comparison of Power Fx language functions: Patch, UpdateIf, SubmitForm and graphical interfaces, which allow making applications in Power Apps, were subjected to analysis. Research paper has shown that the average time of data recording into Dataverse using Patch function was slightly shorter than using SubmitForm. Moreover, it was found, that the average time required by the test group for creation Model – Driven app was 40% les
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Oose, Mathew Olekan, Oluwakemi E. Fapojuwo, and Jibril A. Agbabiaka. "Influence of Internet-based Mobile Phone Applications on Employees Job Commitment in Agricultural Research Institutes in Oyo State, Nigeria." Journal of Agricultural Extension 25, no. 2 (2021): 43–53. http://dx.doi.org/10.4314/jae.v25i2.4.

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This study assessed factors influencing the use of internet-based mobile phone apps on employees on job commitment in agriculturalresearch institutes in Oyo State, Nigeria. A multistage sampling procedure was used to select 94 employees. The data were obtainedthrough a structured questionnaire and analyzed using percentages, chi-square analysis and principal component analysis (PCA). Result showed that Whatsapp ( x̄ =3.32), Emails (x̄ =3.23) and Opera mini(x ̄ =3.23) were the most frequently used internet-based mobile phone apps. The use of internet-based mobile apps enhances their job commitm
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Osondu, Patience Akunna, Michael Olugbenga Ajileye, Ngozi Jovita N. Umelo, and Ubah Florence Ebere. "Online Language Learning Apps: A Revolution in English Education." International Journal of Research and Innovation in Social Science IX, no. V (2025): 5503–12. https://doi.org/10.47772/ijriss.2025.905000423.

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The advent of online Language Learning Apps has brought about a paradigm shift in the way individuals acquire proficiency in the English Language. These digital tools have harnessed the power of technology to democratized language education, making it accessible to a global audience. This paper therefore examines the different language learning Apps on English language acquisition shedding light on their effectiveness, accessibility and the changing dynamics of traditional language Education methods. The study aims to provide insight into the potentials of this educational revolution in the le
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Lam, Long W., and Angela J. Xu. "Power Imbalance and Employee Silence: The Role of Abusive Leadership, Power Distance Orientation, and Perceived Organisational Politics." Applied Psychology 68, no. 3 (2018): 513–46. http://dx.doi.org/10.1111/apps.12170.

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Tabassum, Shahla, Maryum Zahra, and Khedija Suhail. "Gender, Power and Digital Spaces: Change or a Different Shade." Online Media and Society 4, no. 1 (2023): 53–69. https://doi.org/10.71016/oms/dbwvgq70.

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Aim of the Study: The study aims to determine the existence of gender power relations in digital spaces and the possibility of change. Methodology: The information from the families was collected using a survey research method. A 1200 sample using the probability sampling technique from one Union Council of Rawalpindi was selected. Every UC has a 25000-30000 adult population, and based on that criterion; 300 families were chosen through a systematic random technique. Findings: The results showed that 81% of people have access to smartphones and 66% of people own them, establishing the first le
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Flensburg, Sofie, and Signe S. Lai. "Datafied mobile markets: Measuring control over apps, data accesses, and third-party services." Mobile Media & Communication 10, no. 1 (2021): 136–55. http://dx.doi.org/10.1177/20501579211039066.

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The increasing use of mobile applications (apps) has turned data harvesting, mining, and distribution into commercial as well as functional backbones of mobile communication. Acknowledging that contemporary markets for mobile communication are increasingly datafied, this article maps and discusses how infrastructures for mobile datafication are controlled. It combines perspectives from critical data studies, political economy of communication, and app studies in an empirical analysis of the 500 most downloaded apps in the Google Play store (November 2020). Focusing on control over and ownershi
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Zhang, Jingwen, Christopher Calabrese, Jieyu Ding, Mingxuan Liu, and Biying Zhang. "Advantages and challenges in using mobile apps for field experiments: A systematic review and a case study." Mobile Media & Communication 6, no. 2 (2017): 179–96. http://dx.doi.org/10.1177/2050157917725550.

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As smartphone’s computing power continues to grow and as mobile applications (apps) continue to dominate digital engagement, apps have become a new frontier for advancing field experiment methodology. Using apps may help researchers to scale up the reach, precisely control randomization and experiment materials, collect a variety of objective and self-reported data over time, and more conveniently replicate and adapt an experiment. We performed a systematic review on field experiments involving apps published between 2007 and 2017. Seven databases were scanned using a predefined search strateg
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Kundu, Prerana, Pabitra Kundu, Sohini Mallik, et al. "Analysis of Security and Privacy In Social Media Platforms." American Journal of Electronics & Communication 2, no. 3 (2022): 20–29. http://dx.doi.org/10.15864/ajec.2304.

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With advancements in fields of science and technology, communication has become quite faster and more efficient. As the popularity of several social media apps continues to grow among the population of both young and old, telephonic communication is being gradually replaced by these powerful social apps. Apart from standard communication, these apps are also utilized for sharing news, academic scriptures, images, files, music, movies, etc. In conclusion, we might state that our lives have got linked with these apps in massive amounts. Social media platforms contain numerous information about u
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Gaur, Ritik, Rohit Singh, and Mrs V. Vijayalakshmi. "Human Fitness Application." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 1554–57. http://dx.doi.org/10.22214/ijraset.2022.48263.

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Abstract: Everyone desires to be in good bodily and mental health. This requirement has been recognised by the developers developing fitness software. To accommodate the various needs of users, these applications offer customization and integrate diet and nutrition in addition to exercise and exercises. The apps have proven to be a huge comfort for those who don't have the time to regularly visit exercise facilities. It also provides free diet regimens and exercise recommendations. After discovering how crucial these apps are to their daily lives, many people have started utilizing them. This
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Li, Shuqing, Cuiyun Gao, Jianping Zhang, et al. "Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in Virtual Reality Apps." Proceedings of the ACM on Software Engineering 1, FSE (2024): 2167–89. http://dx.doi.org/10.1145/3660803.

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The quality of Virtual Reality (VR) apps is vital, particularly the rendering quality of the VR Graphical User Interface (GUI). Different from traditional two-dimensional (2D) apps, VR apps create a 3D digital scene for users, by rendering two distinct 2D images for the user’s left and right eyes, respectively. Stereoscopic visual inconsistency (denoted as “SVI”) issues, however, undermine the rendering process of the user’s brain, leading to user discomfort and even adverse health effects. Such issues commonly exist in VR apps but remain underexplored. To comprehensively understand the SVI is
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Maceli, Kristen M. "Changes In The Development Process Of Mobile Phone Applications Bring Opportunities For Developers And More Options To Consumers." Journal of Business Case Studies (JBCS) 7, no. 3 (2011): 31. http://dx.doi.org/10.19030/jbcs.v7i3.4266.

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Consumers are becoming increasingly comfortable with technology. As their knowledge and use of technology has increased, so too have their expectations and roles in the technology environment. New technology brings about new products, and the process of developing new products is ongoing. Research and development, turnaround times, product introduction timing, and development efforts of the competition all influence the process. The race to move new technology to the market as quickly as possible has significantly changed the development process. Individuals now have development opportunities
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Zhu, Mianyi. "Prospects of China's Entertainment Consumption Economy Based on Entertainment APP Data Analysis." Advances in Economics, Management and Political Sciences 123, no. 1 (2024): 134–48. http://dx.doi.org/10.54254/2754-1169/123/2024mur0106.

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China's entertainment apps have blossomed in many aspects, covering videos, movies, games, music, animation, live broadcasts, etc. Data collected from major entertainment apps might be helpful to outline the preferences and personalities of Chinese entertainment consumption groups, and thus to make a prospect for China's entertainment consumption economy. Based on the analyzed data, it can be seen that while some professional entertainment apps are developing towards the "small and beautiful" vertical track, comprehensive platform apps are undergoing an ambitious expansion of power. It is clea
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Sujith, K., V. Abdul Azeez, M. Vamsi Krishna, S. Devanand, and K. Sumanth. "Customer Profiling Model for Ecommerce Apps." International Journal for Research in Applied Science and Engineering Technology 12, no. 1 (2024): 296–97. http://dx.doi.org/10.22214/ijraset.2024.57891.

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Abstract: Researchers are developing new ways to evaluate credit in e-commerce, combining traditional RFM analysis with machine learning such as SVM and random forests. This approach provides accurate information that distinguishes good customers from potential fraudsters, minimizing financial losses. Other models for online finance companies use clustering, advanced RFM feature selection, weighted averaging with logistic regression and random forest to better segment customers. These developments build on growing connections between traditional channels and technology between others, providin
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Miatello, Ashleigh, Gillian Mulvale, Christina Hackett, Alison Mulvale, Ashwin Kutty, and Faten Alshazly. "Data Elicited Through Apps for Health Systems Improvement." International Journal of Qualitative Methods 17, no. 1 (2018): 160940691879843. http://dx.doi.org/10.1177/1609406918798433.

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A promising approach to meeting the need in many jurisdictions for timely, in-depth qualitative health systems experience data, is to elicit feedback through smartphone and web applications (apps). Apps offer an appealing tool to elicit data from patients and family members who may feel stigma when receiving some services and a power imbalance when providing feedback to health-care providers. In this article, we examine the effectiveness of a suite of smartphone and web apps called myExperience ( myEXP) that were created to gather care experiences of youth, family members, and service provider
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Shofi, Niam, Iskandar Fitri, and Agus Iskandar. "Perancangan Sistem Manajemen Absensi Online dengan Barcode scanner Menggunakan Power Apps." Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) 5, no. 4 (2021): 430. http://dx.doi.org/10.35870/jtik.v5i4.272.

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Attendance is a form of attachment or obligation between employees and companies, especially at PT. IDX with work locations for project employees who are spread across many companies and different office locations, namely in Jakarta and Bandung. Based on this study, an online-based employee attendance system using the barcode scanner method is applied, because previously employees were still using manual signatures with insufficient security systems and concerns about data leakage, with this attendance system employees do not need to sign manually, resulting in fraud. attendance can be avoided
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Su, Hang. "The power of platforms and apps-empowering and controlling the consumer." Media and Communication Research 3, no. 1 (2022): 17–23. http://dx.doi.org/10.23977/mediacr.2022.030103.

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This article discusses the new marketing model of e-commerce platforms in the Internet age. Merchants use e-commerce platforms as marketing methods to make profits. Customers, as Internet users, when they enjoy the benefits brought by e-commerce platforms, algorithms and data are controlling their thought and action. This article is mainly based on the academic foundation of three publications: the "platform capitalism" written by Nick in 2017, 'Appified -Culture in the Age of Apps' written by Jeremy Wade Morris and Sarah Murray in 2018, 'When Platform Capitalism Meets Petty Capitalism in Chin
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Thanigan, Jayanthi, Srinivasa N. Reddy, Priya Sethuraman, and J. Irudhaya Rajesh. "Understanding Consumer Acceptance of M-Wallet Apps." Journal of Electronic Commerce in Organizations 19, no. 1 (2021): 65–91. http://dx.doi.org/10.4018/jeco.2021010104.

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The m-wallet apps market in India is an evolving industry. M-wallet app companies could use the consumer insights from this study to design suitable strategies to retain existing users and attract new customers. Earlier studies in m-wallet app adoption in India have been restricted to GPRS services only. This study is unique in extending use of the UTAUT model theoretical framework to understand the factors influencing customers using the evolved 4G technology in India. The research hypothesis, based on the extended UTAUT model, was empirically tested using structural equation modeling. There
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Rugge, Shrishail, Veer Metri, Sujay Satpute, Prathmesh Nule, and Mrs A. P. Devmore. "A Review of Language Learning Applications." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 634–37. http://dx.doi.org/10.22214/ijraset.2022.47957.

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Abstract: Language learning applications have the potential to transform the way languages are learned. This study examined the most popular commercially available language learning applications and evaluated them according to a wide range of criteria. The study found out that no application exists in the market that can teach the Indians or anyone in the world the desired Indian Regional Languages. Three major trends were found in the applications that teach languages to the users: first, apps tend to teach vocabulary in isolated units rather than in relevant contexts; second, apps minimally
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