Number Of Smartphones Research Articles

Evaluating Existing Mobile Apps for Toddler Parenting: Recommendations for Future App Developers

Background: As the number of smartphones in use rises, more parents are turning to mobile applications for parenting guidance. However, identifying quality apps for guidance on child development can be challenging for parents. Objective: This study evaluated existing mobile applications to disseminate important parenting information among Indian parents using a structured analysis method. Methodology: This app analysis study aimed to document the basic and special features of toddler parenting apps in India available to parents as they promote their child's development and health. To understand the accessibility and quality of apps for toddler parents, we conducted an analysis of apps in the Google Play Store. The Google Play Store was searched for available parenting apps using different search terms such as mom, mother, mommy, father, dad, papa, daddy, baby, kid, toddler, child, children, parent, and parenting. We screened 138 apps and evaluated 40 that met the criteria for their features and usability. Results: We found that a great number of toddler parenting apps are available, but most of the apps had foreign regions of origin (50%). The information is in English language (65%) and the apps are mostly non-interactive (60%). Conclusion: The study addresses a crucial gap in the availability and quality of mobile applications tailored for toddler parenting, specifically in the Indian context. By evaluating and highlighting the shortcomings of existing apps, the study provides valuable insights that can inform the development of more effective, culturally relevant, and interactive parenting tools. The findings also emphasize the need for localized content, which is vital for enhancing parenting practices and child development.

ANALISIS PENGGUNAAN SMARTPHONE PADA SISWA KELAS XI IPS 3 DI SMA NEGERI 15 MEDAN SUNGGAL

Smartphone is a cellular phone that uses several services such as a screen, microprocessor, memory, and built-in modem. Where the presence of this smartphone provides benefits and convenience to its users, especially for students, various impacts are found both in positive and negative terms from the use of existing smartphones. This research uses descriptive kuantitative research methods because in its implementation it includes data, analysis and interpretation of the meaning of the data obtained. The aim of this research is to find out the number of smartphones used by each student, the intensity of smartphone use among students, the applications used on smartphones, the purpose of students using smartphones and the impact of smartphone use on students. Based on the results of research conducted in class XI IPS 3, all students in the class have personal smartphones, and it is known that the majority of male and female students have a smartphone with a total of one, and there is only one male student who has more than one smartphone in class. XI IPS 3. In Conclusions regarding the intensity of smartphone use of students in this class are in the high user category, namely around 4 hours, the application that students often use is WhatsApp, the purpose of students using smartphones is to search for information and the impact felt by students when playing with smartphones is mostly sore eyes.

FACTORS INFLUENCING THE INTENTION OF BEHAVIOR IN USING GOPAY MOBILE PAYMENT

At present, the development of technology and the internet is advancing rapidly and continues to grow from year to year. The number of smartphone and internet users is also increasing, leading to more frequent use of mobile payment applications. The use of mobile payment applications has several advantages, such as accelerating transactions and facilitating cashless payments. One of the applications used for mobile payment is GoPay, alongside other options such as OVO, Shopee, Dana, and other mobile payment platforms. The researcher aims to analyze the perception of the community towards GoPay as an electronic payment method using the Unified Theory of Acceptance and Use of Technology (UTAUT) approach, which explains user behavior toward information technology based on social influence, performance expectancy, effort expectancy, and facilitating conditions. Each determinant is then tested against behavioral intention. This study has four hypotheses that will be tested, and the data collected for this research is obtained through respondent answers from questionnaires. The data is analyzed using Partial Least Square (PLS) analysis with Smart-PLS software, and the research results indicate that all variables have a positive and significant influence on behavioral intention.

Smartphone Addiction among Syrian Medical Students

Abstract Background Smartphone use has increased and has become an essential part of daily life. This study aimed to assess the prevalence of smartphone addiction among medical students in Syria, investigate its potential effects on insomnia and sub-health. Methods This study was conducted in Syria from October 6th to November 12th, 2022. We included Syrian medical students across all Syrian medical colleges. The survey consisted of four questions, sociodemographic information, insomnia scale, Sub health status questionnaire (SHSQ-25), and Smartphone Addiction Scale (SAS). The data were analyzed using IBM SPSS Version 28.0. Results A total of 1437 participants completed the survey, and their mean age was 21.4 (SD = 1.8). Our analysis identified the prevalence of smartphone addiction, insomnia, and subhealth among medical students as 62.5%, 23.7%, and 28.4%, respectively. The mean hours number of smartphones used daily was (6±2.8). About half of the respondents use their phones for more than six hours a day (50.2%), and over half of the participants (52.8%) consider themselves addicted to their smartphones. Among students diagnosed with smartphone addiction, 43.2% reported using their phones for more than six hours daily, and 41.1% perceived themselves as smartphone addictive. Students residing in the city's outskirts exhibit a higher likelihood of addiction than their urban counterparts (OR = 1.5, P value < 0.05). Furthermore, individuals who avoid using their smartphones before bedtime exhibit a lower propensity towards developing smartphone addiction than those who do (OR = 2.7, P value < 0.05). As well, we defined a significant inverse correlation between the smartphone addiction score and the SHS (r2= -0.114, P value< 0.001). Conclusions We indicate that smartphone addiction negatively affects the sleep quality and subhealth of medical students, particularly among those who use their smartphones before sleeping and those who consider themselves smartphone addicts. Key messages • We indicate that smartphone addiction has detrimental impacts on the quality of sleep and subhealth of medical students, particularly those who use their smartphones before sleeping. • It is suggested that medical institutions conduct educational initiatives regarding the negative consequences of smartphone addiction, including its potential long-term impact on mental health.

The Evolution And Impact Of E-Commerce

This research paper delves into the evolution, current trends, and impact of e-commerce on various aspects of business and society. It examines the technological advancements that have facilitated the growth of e-commerce, the challenges faced by e-commerce businesses, and the transformative effects on consumer behavior, the economy, and regulatory frameworks. India is on the verge of a revolution in e-commerce. E-commerce, or electronic commerce, refers to the buying and selling of goods and services over the Internet. It has evolved significantly since its inception and has had a profound impact on various aspects of business, society, and the economy. Here's an overview of its evolution and impact. India's e-commerce market is expanding thanks to factors including rising smartphone adoption, rising wealth, and affordable data plans, which are fuelling the expansion of online retail. India is the second-largest internet market in the world with over 800 million users and 62 billion UPI transactions in 2022.
 Even though e-commerce has been popular in the nation for more than a decade, it is only in recent years that the proper ecosystem has already begun to develop. The speed of internet access, the astonishing widespread use of mobile devices, and active investment have fuelled this industry's expansion, and if present if predictions are accurate, India is on track to become the fastest-growing e-commerce in the world. India has seen a growth in the use of smartphones and the internet in recent years. Due in large part to the "Digital India" effort, there were 830 million internet connections worldwide in 2021. 55% of all connections to the internet were in metropolitan areas, and 97% of those connections were wireless. The number of smartphones has also greatly grown, and by 2026, that number is anticipated to be 1 billion. India's digital economy has benefited from this, and by 2030, it is predicted to be worth US$1 trillion.

Fraud Detection in Mobile Payment Systems using an XGBoost-based Framework.

Mobile payment systems are becoming more popular due to the increase in the number of smartphones, which, in turn, attracts the interest of fraudsters. Extant research has therefore developed various fraud detection methods using supervised machine learning. However, sufficient labeled data are rarely available and their detection performance is negatively affected by the extreme class imbalance in financial fraud data. The purpose of this study is to propose an XGBoost-based fraud detection framework while considering the financial consequences of fraud detection systems. The framework was empirically validated on a large dataset of more than 6 million mobile transactions. To demonstrate the effectiveness of the proposed framework, we conducted a comparative evaluation of existing machine learning methods designed for modeling imbalanced data and outlier detection. The results suggest that in terms of standard classification measures, the proposed semi-supervised ensemble model integrating multiple unsupervised outlier detection algorithms and an XGBoost classifier achieves the best results, while the highest cost savings can be achieved by combining random under-sampling and XGBoost methods. This study has therefore financial implications for organizations to make appropriate decisions regarding the implementation of effective fraud detection systems.

Contribution of the smartphone in medical practice

Purpose to determine the place of the smartphone by evaluating the possession and the use of medical applications in the practice of the professionals at the Mohamed VI University Hospital of Marrakech and hospital “Moulay Youssef Rabat” This is a prospective descriptive and mono-centric analytical study on health professionals working or performing their training at hospital structures during the 6 months of the study using a smartphone. Our study took place over a period of 6 months, from August 1, 2018 to January 31, 2019, is carried out on two sites. Within the Moulay Youssef Hospital Rabat CHR, Hospital mother and child Mohamed VI Hospital Marrakech hospital. A clear predominance of female 131 (65%) , with a sex ratio F / H of 0.51.with an average age of 34.4 years, with extreme ages between 60 and 18 years. We found that 149 (74.5%) were hospital professionals, 86 (43%) were medical students, 191 (95.57%) used French as their main language. - 142 (71%) use a smartphone and 125 (62.5%) use it in the medical prescription. Of the 200 professionals, 81% were convinced of the benefit of using Smartphones. The overflow of professional boundaries was highlighted as a disadvantage by 47% of the professionals.130 (65%) want more APPS communications and more than 50% were willing to pay between 50 and 200 MAD for medical APPS. In our study There is a statistically significant linear correlation between the age and the number of smartphone users during these 6 months (p = 0.023).There is a statistically significant linear correlation between professional status and number of smartphone uses during these 6months (p <0.001). Our study joins the data of the literature with an average of the number of use during these 6 months which is not statistically different according to the sex (p = 0.27). There is a statistically significant linear correlation between the average number of smartphone uses for medical purposes and the number of Smartphone usage during these 6 months (p <0.001). In our study, the average number of uses during these 6months is statistically different depending on the professionals we judge that it is beneficial (p = <0.01). The smartphone is a real tool in the practice of health professionals for optimal care of the patient. It would be interesting to develop formal assessment strategies and training in these medical applications for use with confidence in our context.

Implementasi Aplikasi Monitoring Nilai dan Kegiatan Siswa Berbasis Android dengan Metode Prototype

The number of smartphone and internet users in Indonesia is currently very large. This is become the basis for the use and development of mobile-based applications for the advantage of education. However, not all High Schools in Indonesia have a mobile-based system. Another problem is that most of them still use conventional methods in implementing teaching and learning activities, and reporting learning outcomes to parents. This is also still the case at SMA Negeri 1 Pangkalanbaru, Bangka Tengah. This problem is what we want to raise and solve by developing applications that can solve these problems. The research was developed using the Prototype method which consists of stages of Data Collection, Rapid Planning, Prototype Design, and Prototype Testing. By using the UML tool, results are obtained in the form of parents who can monitor grades, school information, and school announcements. In addition, students can take attendance online, register for extracurricular activities, and view announcements. From the testing results it is known that the system performance is running well as it should.

Sistem Pemilihan Smartphone Berdasarkan Spesifikasinya Pada Mahasiswa Sistem Informasi Universitas Tanjungpura Menggunakan Metode Simple Additive Weighting (SAW)

Current technology is often used by all groups, one of which is students in the Information Systems department at Tanjungpura University. One of the technologies used is a Smartphone which is a tool for students to communicate with each other even during the current pandemic, Smartphones are used for learning as well and each Smartphone has its own specifications that make it superior to other Smartphones, of course with the number of Smartphones circulating in the market. will be confused in making the selection, thus the decision support system to choose a Smartphone based on the specifications is made for the purpose of assisting in the selection of the Smartphone. The Simple Additive Weighting (SAW) method is used to complete the decision support system for Smartphone Selection During the Pandemic for the Tanjungpura University Student Information System which uses weighted summation for each performance rating for each alternative. In this study, the results of the calculations obtained from the survey are Samsung S21 5G with a value of 73.75, Iphone 11 64GB with a value of 48.75, Vivo Y17 with a value of 81.25, Asus ROG Phone 5 with a value of 80, Oppo A92 and with a value. 96.

Social network factors affecting adoption of Mobile app by farmers

Effect of social network on adoption of Mobile app was studied in Nashik and Sangli districts of Maharashtra, India by interviewing 800 grape growers during 2016-17. Individual characteristics like income, landholding, caste, area under grapes and number of smartphones were significant factors determining the adoption of mobile app. In social network factors, village adoption rate, membership, education, landholding and frequency of communication were significant determinants of adoption. Village adoption rate of the technology resembles network behavior. Therefore, both social network characteristics and social network behavior influences the adoption decision of farmers. It shows that adoption is not just mimicking by the farmers, but it is a social learning process. The results emanating from the study provide insights to extension agents to devise strategy for introduction of any technology/ICT in agriculture. The way out to implement the strategy is to use extension methods that focus on social learning like Farmers Field Schools; target the farmers having more education, landholdings and who frequently interact with the large number of farmers to facilitate and enhance the adoption of new technology/ICT.

Machine learning‐oriented resource allocation in C + L + S bands extended SDM–EONs

The enormous growth in the number of smartphones, internet usage, and internet of things applications require high data-rate transport platforms. Therefore, spectrally and spatially scalable core optical networks are essential. Moreover, the current generation, field existing networks, consume the conventional (C) band of the single-mode single-core fibres. The recent studies evidence that the increased traffic occupies the complete C band. To overcome this, the spectral and spatial expansion employing multicore (MC), multimode (MM), and multiband (MB, C + L + S) fibre-based spatial division multiplexing (SDM)–elastic optical network (EON) is a promising solution. However, dynamic traffic, complex networking with MC–MM–MB–SDM–EON requires dynamic network solutions. To accomplish this, the authors propose the machine learning (ML) oriented route, core, mode, band, and modulation format aware spectrum assignment. Such resource allocation (RA) reduces the impact of the physical layer impairments, inter core cross-talk, differential mode delay, and mode dependent losses. As per the author's best knowledge, ML-oriented RA for SDM–EON considering the aforementioned parameters is the first investigation. They propose several RA algorithms to reduce the total network cost with increased fibre capacity. Among all, priority-based RA comes out as an optimal solution.

Photographies in Africa in the digital age

In recent years, all kinds of African photographies, both on the continent and in the diaspora, have undergone a digital ‘revolution’ (Ekine and Manji 2012). Without doubt, the key driver of this trend has been the rapid, and massive, influx to practically all African countries of ever more affordable third generation/advanced mobile phone handsets, or smartphones. Even compared with earlier technological revolutions on the continent, both the speed and the scale of this spread have been simply breathtaking. For example, the establishment of transistor radio sets – the process through which personal radios became ubiquitous across Africa – occurred over the period of at least a decade and a half (between roughly the late 1950s and the early 1970s). Similarly, the original mobile phone revolution – i.e. the process through which early generation/low functionality mobile phones went from being a source of novelty, to a domain for experimentation, to technologies that were routinized in everyday life, throughout the continent – took more than a decade to unfold (the crucial years being those between roughly 1999 and 2010) (Vokes 2018b). Against both of those earlier processes, the emergence of smartphones occurred over a much shorter timeframe. Between 2011 and mid-2015 alone, the number of smartphones being imported into Africa – the majority of them sub-US$100 Android-based systems – jumped from around 10 million units per annum to almost 100 million (Tshabalala 2015), as a result of which these devices became quickly established as a common feature of everyday life. Today, more than one-third of all mobile phones in Africa are smartphones, and this percentage is set to rise to two-thirds by 2020 (GSMA Intelligence 2017).

Evaluating Self-Management Features for Mobile Applications

With the increase in the number of smartphones, the use of mobile applications is growing dramatically in today's high-tech environment. With this high user demand, the quality of mobile applications is becoming a serious issue. With the perspective of quality enhancement, these applications must be smart enough so that they can handle any kind of issue automatically. Also, with the increasing complexity of these applications, they need to be more self-managed for better operability and interoperability. The self-management features allow handling issues such as error handling, optimization, resource utilization, configuration management etc. by its own. This will lead to the better functionality of mobile applications. The present research work proposes to incorporate autonomic capability as an attribute for assessing mobile applications. A multi-criteria decision-making approach named ELECTRE-TRI outranking method is used to evaluate the self-management aspect i.e. the autonomic capability of mobile applications to provide the quality estimation of mobile applications a better way.

The APP Design for Assisting Health Statistics Teaching

In view of the trend that the number of smartphones and the frequency of use of student groups are increasing year by year, this paper proposes the design concept of health statistics-assisted teaching APP. With the online learning of health statistics, online testing, and final review as the main functions of APP, we introduce the forms of points, medal, ranking and other forms which are popular among young people to enhance the students’ interest in the use of APP. At the same time, according to the characteristics of health statistics for focusing on application, the application case base of health statistics method is designed to show students the whole process application from data collection, analysis, selection method, calculation and interpretation of calculation results, which can solve the puzzles of students in theoretical study through practical cases and strengthen students’ practical application ability. The design and development of health statistics-assisted teaching APP is of great significance to improve the teaching activities of health statistics and improve the teaching effect.

Understanding the gyroscope sensor: a quick guide to teaching rotation movements using a smartphone

Currently, the number of smartphones with an embedded gyroscope sensor has been increasing due games whose performance relies on 3D augmented reality. In general, teaching papers on the gyroscope sensor address very simple spatial configuration, where the fixed rotation axis coincides to the z-axis of the smartphone. This work presents five experimental setups with different spatial orientations of a smartphone on a turntable. The total angular velocity vector of the turntable is constant, but its projections on the three fixed Cartesian axes of the smartphone varies for the five spatial orientations investigated. For the sake of consistency, the magnitude of the vector sum of the three angular velocities components yielded by the gyroscope sensor was checked by video analysis using the free software, Tracker. The internal consistency between the results provided by this video analysis technique and data from the gyroscope assures us this sensor is reliable for teaching proposals. The main goals of this paper are (i) encourage teachers to effectively incorporate the gyroscope sensor of smartphones in to their classrooms, especially in high schools and undergraduate physics and engineering courses; (ii) spread in the academic syllabus the Tait–Bryan convention, a very intuitive way to perform 3D rotations and; (iii) explain how to interpret data of the three components of angular velocity obtained by the gyroscope sensor in different spatial orientations.

Body height, social dominance and the political climate - a comment.

Background: The association between stature and social dominance is known. Dominance within social groups and current politics are related issues. We therefore aimed to compare estimates of the opinion of a population about their current political issues, with physical growth. Material and methods: We used data on the 2012 and the 2014 elections for the Japanese House of Representatives and the percent proportion of votes of the 47 prefectures of Japan, and regional data on body height of 17.5 year old men and women. Information on capita income, possession of mobile phones, urban/rural population ratio, and age distribution were added to capture socioeconomic factors. Four political parties were present in most of the 47 prefectures: the Liberal Democratic Party (LDP), the Democratic Party of Japan (DPJ), the New Komeito Party (Kom) that is known for their social network community, and the Japanese Communist Party (JCP). Results: A dense network of associations exists between height, age distribution, per capita income, number of smartphones, and voting results. Male and female body height was inversely related with the proportion of votes for New Komeito Party. Average stature decreases by one mm per percent votes for this political party. Medium strong positive associations were found for male body height and voting results of the DPJ and for female body height with the JCP election results. Conclusion: In modern Japan, popular preferences for conservative political structures coincide with shorter stature.

Lightweight Opportunistic Mobile Data Offloading

Current cellular networks are overloaded due to the increasing number of smartphones and demands for bandwidth-eager multimedia content. Upgrading the existing infrastructure of the cellular system is the most straight forward solution to meet the growing demand. Apart from this, offloading mobile data through Wi-Fi can be a feasible solution. Mobile offloading via Wi-Fi is the latest emerging trend in research and industry. In this article, the authors have proposed a framework for mobile data offloading for both cellular and Wi-Fi networks. The authors have introduced a daemon process-based approach to make the entire process lightweight by using a suitable offloading decision algorithm. This article then formulates a mathematical model to evaluate its feasibility and accuracy for achieving optimum performance.

Short Messages Spam Filtering Combining Personality Recognition and Sentiment Analysis

Currently, short communication channels are growing up due to the huge increase in the number of smartphones and online social networks users. This growth attracts malicious campaigns, such as spam campaigns, that are a direct threat to the security and privacy of the users. While most researches are focused on automatic text classification, in this work we demonstrate the possibility of improving current short messages spam detection systems using a novel method. We combine personality recognition and sentiment analysis techniques to analyze Short Message Services (SMS) texts. We enrich a publicly available dataset adding these features, first separately and after in combination, of each message to the dataset, creating new datasets. We apply several combinations of the best SMS spam classifiers and filters to each dataset in order to compare the results of each one. Taking into account the experimental results we analyze the real inuence of each feature and the combination of both. At the end, the best results are improved in terms of accuracy, reaching to a 99.01% and the number of false positive is reduced.

Rancang Bangun Sistem Rekomendasi Pemilihan Smartphone Berbasis Web

With so many variations in the number of smartphones in the market makes it difficult to choose. Therefore, it is necessary to make a recommendation system that can help the process of selecting a smartphone. For the system of recommendation used the method weihgted product. Weighted product method is a method frequently used in the Multi- Criteria Decision Making. Weighted product method capable of finding the best sequence of several alternatives, with criteria price, size, type of OS, RAM size, processor speed, storage capacity, the ability of photography, and the battery capacity. To test user satisfaction is conducted survey of 30 respondents, with Likert scale and Cronbach Alpha. The figures obtained was 0.70, indicating that the system got quite good feedback from respondents.
 Keywords - recomended system, smartphones, weighted product.

Smartphone data streams for bridge health monitoring

Knowledge on the dynamic properties of bridges in a city can improve condition assessments, maintenance scheduling, and emergency planning to better serve the public. Currently, bridge vibration data is obtained primarily by researchers through the use of a sophisticated sensor network that is composed of fixed sensor nodes. Recent studies have supported the alternative of mobile sensor networks, which are capable of delivering important structural information, e.g., modal properties, requiring less setup efforts and using fewer sensors. Simultaneously, digital technology has spawned data initiatives such as crowdsensing, in which individuals can collectively sense the urban environment. The prevalence of smartphones, which contain various advanced sensors, is rapidly restructuring researchers’ perceptions of data collection. This paper discusses the confluence of these emerging technologies, which can provide regular infrastructure data streams, within structural health monitoring (SHM) procedures for the immediate goal of system identification (SID) and towards automated maintenance of bridges. Will researchers continue to install sensor networks and collect their own data or will they start to source resident smartphone data? One of the objectives of this ongoing work is to quantify expected smartphone data stream volumes that would be applicable to SHM processes. As an example, the number of smartphones that traverse the Harvard bridge in a month is quantified.