High Number Of Users Research Articles

Impact of Social Media on Purchase Making Decision of Consumers

This paper attempts to understand the various complex influences that a consumer is made to undergo by being webbed around social media engagement and its algorithms. Complex buying behaviour is rare, high-involvement customer purchases that make a big brand difference. With social media taking its new toll and establishing new records of burgeoning high numbers of users every year, this trend is indomitable for the epoch it generated in the last decade. Social media engagement of consumers has indeed factually increased enablement of expansion in the user-generated content and the interactive system of an interface that ensures the engagement is maintained.

Pengaruh E-Service Quality terhadap Repurchase Intention yang Dimediasi oleh Customer Satisfaction Pengguna E-Commerce Tokopedia di Kabupaten Bandung Barat

Since the advent of e-commerce, shopping patterns have shifted from traditional to more modern ones, where people can now shop online solely through smartphones. In Indonesia, there are numerous marketplace platforms such as Tokopedia, Shopee, Lazada, Bukalapak, and Blibli. In 2022, the number of e-commerce users in Indonesia reached 178,94 million, and it is projected to increase to 196,47 million by the end of 2023. Tokopedia is one of the leading e-commerce platforms in Indonesia. In 2020, Tokopedia ranked third in the category of online sales wensites as the e-commerce platform with the highest number of users in Indonesia. However, Tokopedia experienced a decline in index from 2021 to 2023, with a decrease of 5,4%. The aim of this research is to determine the effect of e-service quality on repurchase intention which is mediated by customer satisfaction of Tokopedia e-commerce users in West Bandung Regency. 90 respondents who used the Tokopedia e-commerce application participated in this research. A cross-sectional method or one-shot study was used to obtain data. Using SPSS 25 software, data analysis procedures for this research include the Sobel, test simple regression analysis, and multiple regression analysis. From the survey, it is found that the research results that e-service quality has a positive and significant effect on customer satisfaction. Then e-service quality also has a positive and significant influence on repurchase intention. Apart from that, customer satisfaction has a positive and significant effect on repurchase intention. Then, customer satisfaction succeeded in mediating the influence of e-service quality on repurchase intention.

An Integrated Smart Metering System Using LORA Technology

Precise meter readings are essential for effectively regulating residential energy systems in India's smart city context. However, due to the high number of users and the absence of daily consumption monitoring, standard meter reading methods are expensive and time-consuming, which causes consumer unhappiness. The suggested approach to address this issue is to put in place an integrated wireless smart energy system that makes use of smart metering technologies. The way utilities manage energy could be completely changed by this method. The integrated system is intended to take the place of the traditional digital energy meters, which are primarily used to record meter readings properly for payment purposes. This allows for automatic meter readings without the need for frequent travels to the location where the meters are located. Low Power Wide Area Networks (LPWAN) technology, which is renowned for its low power consumption, cost-effectiveness, long-range coverage, and efficient penetration, are used in this technology to enable the transfer of accurate and secure data on energy usage in real-time. The experiments that resulted from the trials allowed the energy to successfully communicate and documented reliable readings. By providing users with real-time usage data and guarding against overloaded scenarios, the system also benefits consumers. Additionally, the device reports electricity theft to the utility company. The shortcomings of the conventional systems and design difficulties are addressed by the suggested system.

Efficient symbol level precoding design for full-duplex integrated sensing and communication systems

Full-duplex (FD) integrated sensing and communication (ISAC) system attracts much attention because adopting the FD mode can enhance the transmission efficiency and reduce the transmission time of the ISAC system. However, the inevitable self-interference (SI) in FD mode would result in severe performance degradation. This paper considers the FD ISAC system and investigates a symbol-level precoding (SLP) design, which minimizes the Cramér-Rao Bound of target angle estimation while considering the constant-envelope power restraint, SI suppression and the quality of service requirement. Due to the non-convex fractional problem and the unit-modulus constraint, the optimization problem is reformulated by implementing the Schur complement, where the optimal waveform is obtained via the semidefinite programming algorithm. The SLP design that optimizes each symbol vector for all users may suffer high computational complexity of matrix multiplication with high numbers of users. A grouped SLP strategy in which the communication users are divided into several groups on the basis of channel correlation is proposed to reduce the complexity. The proposed grouped SLP design only suppresses group-to-group interference and converts the intra-group interference into a constructive interference, which can reduce the dimension of each precoded signal significantly, resulting in a low computational complexity. Simulation results illustrate that the proposed SLP design can effectively mitigate SI, which can improve the accuracy of target detection. Moreover, the proposed grouped-SLP design can further reduce computational complexity without dramatic performance degradation.

Multi-dimensional resource allocation strategy for LEO satellite communication uplinks based on deep reinforcement learning

In the LEO satellite communication system, the resource utilization rate is very low due to the constrained resources on satellites and the non-uniform distribution of traffics. In addition, the rapid movement of LEO satellites leads to complicated and changeable networks, which makes it difficult for traditional resource allocation strategies to improve the resource utilization rate. To solve the above problem, this paper proposes a resource allocation strategy based on deep reinforcement learning. The strategy takes the weighted sum of spectral efficiency, energy efficiency and blocking rate as the optimization objective, and constructs a joint power and channel allocation model. The strategy allocates channels and power according to the number of channels, the number of users and the type of business. In the reward decision mechanism, the maximum reward is obtained by maximizing the increment of the optimization target. However, during the optimization process, the decision always focuses on the optimal allocation for current users, and ignores QoS for new users. To avoid the situation, current service beams are integrated with high- traffic beams, and states of beams are refactored to maximize long-term benefits to improve system performance.Simulation experiments show that in scenarios with a high number of users, the proposed resource allocation strategy reduces the blocking rate by at least 5% compared to reinforcement learning methods, effectively enhancing resource utilization.

Research on the Interaction Design of Urban Public Environmental Facilities under the Background of Digital Intelligence

Abstract With the in-depth development of data intelligence, the design of public environmental facilities has gone beyond mere aesthetics and practicality, and is moving towards a deeper integration with interaction design. This paper addresses this trend, discusses the strategies and principles of interaction design for public environmental facilities, and proposes an innovative single-facility siting problem model (MP) and multi-facility siting problem model (MWP). The article solves and analyzes the optimal siting problems in these models using the advanced new projection contraction algorithm (PC). To practically test the effectiveness of these designs, two sets of empirical experiments are conducted to explore them in depth. The results show that the optimized interaction design of the public facilities substantially increased the frequency of users, especially in the period from 15:00 to 15:10 on rest days, the number of users was as high as 43, of which the highest number of users was 46, mainly among the middle-aged and elderly people, especially the middle-aged group. In addition, this interaction design is excellent in satisfying people’s necessary, spontaneous, and social activities, with satisfaction levels of 0.78, 0.71, and 0.62, respectively. The interaction design strategy proposed in this paper effectively enhances the efficiency of the use of the public facilities and profoundly satisfies the users’ daily needs.

Political Marketing Strategies Through Social Media Tools in Indonesia

A precise political marketing strategy is required in order to prevail and ensure the success of political parties or the politicians they support. Political marketing is the practice of organizing activities in a practical, planned, and strategic manner with the goal of ensuring the success of a political party or candidate supported by a political party in achieving its various political goals. Conventional media, including print and electronic media, are typically utilized to conduct political marketing. Given that the current environment suggests a shift in the public's attention from traditional media to social media, it will be interesting to see how political parties and candidates adapt their efforts and strategies to use social media for their political marketing. The objective of this study, which employs a qualitative research technique based on litelatur review, is to examine the evolution and tactics used by political parties to conduct political marketing on social media. The findings of this study show that social media is now a platform with a very high number of users, indicating that the time has come for political parties to put into practice an effective strategy in political marketing through social media in order to be able to win over voters' sympathy and interest in political parties or candidates

Usage of Medical Library Resources: A Study in the Regional Institute of Medical Sciences, Imphal

This paper aims to analyse the usage of library resources, both physical and electronic, in the Central Library of the Regional Institute of Medical Sciences, Imphal. The study was designed to assess the usage of library resources in the Central Library of the Regional Institute of Medical Sciences, Imphal. The library visitor registry was surveyed for statistics. The research is limited to the usage of library resources at the RIMS’ central library during the 2016–2021 academic session. The Library has 645 members registered during the last five academic sessions. The library has a record of 13738 women and 12435 men, totalling a total of 2,6173 users who visited the library during the last 2016-2021 academic years. The highest number of visitors (1179) was recorded in September during the 2019-20 academic year, followed by (1139) in September during the 2018-19 academic year, (1127) in October, (1115) in May during the academic year 2018-19 respectively. A total of 280 users visited the print journals section of the library during the academic year 2016-17, 342 during 2017-18, 356 during 2018-19, 365 during 2019-20 and 109 during 2020-21 respectively. The library has the highest number of visitors (906) who use E-resources recorded in September followed by(827) in October during the academic year 2019-20. The least number of visitors (106) were recorded in January during the 2020-21 academic session. Further, it is found that the highest number of users (6270) visited the library during 2018-19, and only (818) during 2020-21.

An omni-channel, outcomes-focused approach to scale digital health interventions in resource-limited populations: a case study.

Populations in resource-limited communities have low health awareness, low financial literacy levels, and inadequate access to primary healthcare, leading to low adoption of preventive health behaviours, low healthcare-seeking behaviours, and poor health outcomes. Healthcare providers have limited reach and insights, limiting their ability to design relevant products for resource limited settings. Our primary preventive health intervention, called the Saathealth family health interventions, is a scaled digital offering that aims to improve knowledge levels on various health topics, nudge positive behaviour changes, and drive improved health outcomes. This case study presents our learnings and best practices in scaling these digital health interventions in resource-limited settings and maximising their impact. We scaled the Saathealth interventions to cumulatively reach >10 million users across India using a multi-pronged approach: (1) ensuring localization and cultural relevance of the health content delivered through user research; (2) disseminating content using omni-channel approaches, which involved using diverse content types and multiple digital platforms; (3) using iterative product features such as gamification and artificial intelligence-based (AI-based) predictive models; (4) using real-time analytics to adapt the user's digital experience by using interactive content to drive them towards products and services and (5) experiments with sustainability models to yield some early successes. The Saathealth family health mobile app had >25,000 downloads and the intervention reached >873,000 users in India every month through the mobile app, Facebook, and Instagram combined, from the time period of February 2022 to January 2023. We repeatedly observed videos and quizzes to be the most popular content types across all digital channels being used. Our AI-based predictive models helped improve user retention and content consumption, contributing to the sustainability of the mobile apps. In addition to reaching a high number of users across India, our scaling strategies contributed to deepened engagement and improved health-seeking behaviour. We hope these strategies help guide the sustainable and impactful scaling of mobile health interventions in other resource-limited settings.

Perancangan dan Implementasi Sistem Monitoring Jaringan di MA Darut Taqwa Berbasis Web yang Mengintegrasikan dengan API MikroTik

MA Darut Taqwa is a school located in Pasuruan Regency, which has implemented a centralized internet network with large bandwidth. The high number of users accessing the network at MA Darut Taqwa requires a real-time monitoring system to ensure the quality and condition of the network on MikroTik. However, this school has not fully used real-time network management, so it requires a user monitoring system using the MikroTik API which is integrated through PHP and MySQL-based websites. This will be very useful for administrators in monitoring the network effectively. The implementation of the proposed system is the development of a PHP-based website that interacts with MikroTik devices via the API. Real-time monitoring is obtained by continuously querying and updating data, as well as providing administrators with up-to-date information about network usage. The results of this study show that the website application functions properly with the results that the website can provide real-time internet speed information on the proxy interface and can manage hotspots and Point-to-Point Protocol (PPP).

NON-ORTHOGONAL MULTIPLE ACCESS SCHEMES SURVEY: AN OVERVIEW OF NON-ORTHOGONAL MULTIPLE ACCESS TECHNIQUES

Non-Orthogonal Multiple Access (NOMA) is a promising technology that can significantly improve the performance of wireless communication systems, especially in applications with a high number of users and limited spectral resources. NOMA enables simultaneous transmission and reception of multiple signals at the same time and frequency resources. NOMA can be implemented using different methods, including Power Domain NOMA (PD-NOMA) and Code Domain NOMA (CD-NOMA). The implementation of NOMA requires advanced signal processing techniques and can be challenging in some scenarios. However, with the advancement of technology, NOMA is becoming more practical and is expected to play a significant role in the future of wireless communication systems. This paper will discuss what NOMA and NOMA schemes are. These schemes will be compared in terms of their benefits and drawbacks, and it will be explained which one performs better.

Analysis of the Educational Application Users Satisfaction Levels by Using the Integrated Entropy Weight VIKOR Method

A product review is an essential metric to understand the acceptability level of users. This rating process is often implemented to measure the quality and excellence of a product. It also helps the decision-making processes of potential users regarding the implementation of applications, due to the observation of many options. Furthermore, a product review enables the comparison of applications before imminent subscription. In this case, potential users often analyze various rating levels and perform selection within the Google Play Store based on the experiences of other subscribers. The review is also found to benefit students and software developers, concerning the strengths and weaknesses of the applications. For developers, subsequent modifications of products are mostly supported by this rating process during development. From this context, users and developers need to incorporate Multi-Criteria Decision-Making (MCDM) models, to understand the best and worst applications. Therefore, this study aims to assess the important criteria expected by users of seven educational service applications, by using the integrated Entropy Weight-VIKOR method. In this report, the service applications were selected based on the highest number of users in the Google Play Store.All criterion’s mass was also calculated through the entropy weight method. To rank the application through eight selected criteria, the VIKOR method was subsequently used. The results showed that the best educational service application qualities were Khan Academy and Udemy, with Socratic being the lowest. Some criteria such as download (Cr 1 ), video (Cr 2 ), cost (Cr 3 ), and teacher (Cr 8 ) were also suggested for improvement. From these results, thev-value did not affect the rankings of Khan Academy, Udemy, or Socratic, although it influenced the positions of other applications. This indicated that Khan Academy and Udemy had excellent customer satisfaction levels, regarding functionality and few specific complaints. However, Socratic had high complaints from individuals and low users satisfaction. Based on these results, a comparative analysis was carried out with the baseline study, for analytical validation. In this case, better outputs were observed for the present study than the baseline analysis, due to having three stable ranking positions.

Socioeconomic Determinants of the Use of Social Media among Agricultural Undergraduates in North-West Nigeria

This study assessed the socioeconomic determinants of the use of social media among agriculture undergraduates in North-west Nigeria. Three States were purposively selected out of 7, and 250 students were randomly selected from the States. Data were collected with the aid of a questionnaire. Percentages, means and multiple linear regression models were used to analyze the data. Results of the data analysis reveal that 76.4% of the students’ had a monthly income of ₦10,000-₦30,000; 55.2% spent 10-29 hours per week using the social media. Facebook (x̄=3.18) and WhatsApp (x̄=3.02) had the highest number of users. Age, marital status and monthly income were statistically significant (P≤0.05); while years of formal education and the access to internet were both significant. Age, marital status and years of formal education were the major determinants of social media usage among agricultural undergraduates. The Nigerian communication commission should enforce a downward review of data bundles and also push for a larger access to free Wi-Fi services.

Distance Learning During the COVID-19 Pandemic: What is Happening at Home?

Purpose: The purpose of the research is to reveal the status of distance education at home during the COVID-19 pandemic by consulting students and parents.
 Design/Methodology/Approach: “Case study model”, one of the qualitative research models, was used in the study. The study group consisted of 32 primary school students and 31 parents. Data were collected through interviews with parents and students. Content analysis was applied in the process of examining the student and parent interview recordings. The analysis of data was done using the NVivo qualitative analysis program.
 Findings: The answers of students and parent were grouped under six main themes as; "Educational Process, Family Support, School, Roots of the Problems, School or Distance Education?, Request-Suggestion”.
 Highlights: Distance learning devices and rooms are shared or used alternately when there is more than one student at home. It is understood that the responsibilities of parents on the education of their children have increased during the distance education process and this situation also puts a strain on the parents. During the distance education process it has been understood that problem in accessing (Education Information Network) EBA and disconnecting from EBA and Zoom during the lesson, not being able to enter the system due to the high number of users logged in at the same time, video and sound problems and lack of technological equipment.

Social Media and Literacy Education: An Evaluation of Turkish Teaching Accounts on Instagram

Along with the developments in technology, education and training activities have been moved to different channels. Social media, used by young and old alike, are also seen as educational tools. When we searched Instagram for Turkish language teaching accounts with the highest number of users, we found eight active and effective accounts. The aim of this study is to examine these accounts that were opened to teach Turkish, to examine their shares and their effects on followers, and to reveal their contributions to literacy education. For this purpose, document analysis and discourse analysis were used. The accounts were examined in terms of page layout, content, frequency of posts, way of handling Turkish, and methods used in teaching the language. In addition, the interaction with the followers, the number of likes, comments, the frequency responses was discussed and the effect values of the commented accounts on the followers were explored. As a result, it has been determined that there is no certain standard in the analyzed accounts. It was observed that the most followed pages shared posts about the exams held throughout the country, giving summary information, and explaining the answers to the questions. Since all these posts are mostly aimed at reading skills, it can be concluded that the followers improve their reading skills. As evident from followers’ comments, they develop literacy skills by reading the information given in these accounts and writing them in the comments. In addition, it is seen that these pages, which were opened to teach Turkish, were mostly opened by Turkish language and Turkish literature teachers. Considering that the use of technology is increasing, we believe that the study will contribute to the field of language education and literacy.

Blockchain-Based Lightweight Multifactor Authentication for Cell-Free in Ultra-Dense 6G-Based (6-CMAS) Cellular Network

Cell-Free mMIMO is a part of technology that will be integrated with future 6G ultra-dense cellular networks to ensure unlimited wireless connectivity and ubiquitous latency-sensitive services. Cell-Free gained researchers’ interest as it offers ubiquitous communication with large bandwidth, high throughput, high data transmission, and greater signal gain. Cell-Free eliminates the idea of cell boundary in cellular communication that reduces frequent handover and inter-cell interference issues. However, the effectiveness of the current authentication protocol could become a serious issue due to the dynamic nature of Cell-Free in densely distributed, high number of users, high mobility, and frequent data exchange. Secondly, secure communication may be achieved in such a dynamic environment at the expense of high authentication overhead, high communication and computational costs. To address the above security challenges, we proposed a lightweight multifactor mutual authentication protocol for Cell-Free communication using ECC-based Deffie Hellman (ECDH). This scheme utilizes timestamping, one-way hash function, Blind-Fold Challenge scheme with public key infrastructure. The proposed cryptosystem integrates with blockchain technology using proof of staked (POS) as a consensus mechanism to ensure integrity, non-repudiation and traceability. The proposed scheme can enforce the mitigation of several major security attacks on communication links such as spoofing attacks, eavesdropping, user location privacy issues, replay attacks, denial of service attacks, and man-in-the-middle (MITM) attacks, which is one of the significant features of the scheme. Furthermore, this scheme contributes to reducing authentication, communication, and computational overheads with an average of 32.8%, 52.4% and 53.2% better performance respectively as compared baseline authentication protocols.

Better understanding the life of the user to improve the design of orthopaedic footwear

BACKGROUND: A relatively high number of users is dissatisfied with their orthopaedic device. The term ‘user practice’ was introduced to emphasise the idea that users of orthopaedic devices perform activities within an environment, which are characteristic for that environment. OBJECTIVE: To investigate to what extend orthopaedic shoe engineers map the specific environments in which users live and the activities they perform within these environments during the first intake for custom made orthopaedic footwear. METHODS: Orthopaedic shoe engineers were recruited from orthopaedic service providers across The Netherlands. The intake with a new client for orthopaedic footwear was recorded and analysed using four user environments: daily life at home, transport, work, and leisure. RESULTS: Our study showed that orthopaedic shoe engineers cover at best less than 50% of activities within the four user environments. Consequently, there is no guarantee that the resulting design of the orthopaedic footwear fits all of the activities and environments of the users. CONCLUSIONS: The principles of user practices, consisting of specific environments and activities of the user, are not yet adequately used in the field of orthopaedic shoe engineering. By not using them, too little understanding of the life of the user can result in dissatisfaction and non-usage of the orthopaedic device.

Lifting Constructions of PDAs for Coded Caching With Linear Subpacketization

Coded caching is a technique where multicasting and coding opportunities are utilized to achieve better rate-memory tradeoff in cached networks. A crucial parameter in coded caching is subpacketization, which is the number of parts a file is to be split into for coding purposes. The Maddah-Ali-Niesen scheme has order-optimal rate, but the subpacketization is exponential in the number of users for certain memory regimes. In contrast, coded caching schemes designed using placement delivery arrays (PDAs) can have linear subpacketization with a penalty in rate. In this work, we propose several constructions of efficient PDAs through lifting, where a base PDA is expanded by replacing each entry by another PDA. By proposing and using the notion of Blackburn-compatibility of PDAs, we provide multiple lifting constructions with increasing coding gains. We compare the constructed coded caching schemes with other existing schemes for moderately high number of users and show that the proposed constructions are versatile and achieve a good rate-memory tradeoff at low subpacketizations.

Utilization of Drugs with Pharmacogenetic Dosing Recommendations in Switzerland: A Descriptive Study Using the Helsana Database.

In Switzerland 167 drugs on the market contain information about pharmacogenetics in their drug label (PGx drug). Preemptive pharmacogenetic testing is reimbursed by health care insurance for only seven drugs (abacavir, carbamazepine, 6-mercaptopurine, azathioprine, 5-fluorouracil, capecitabine, and irinotecan) although, it is proposed to be a cost-effective approach to personalized medicine. The aim of this study was to describe the use of PGx drugs and their corresponding genes in Switzerland. We identified 90 drugs with dosing recommendations from the Pharmacogenetic Knowledgebase involving 24 genes. We assessed the utilization of those drugs between 2016 and 2020, using claims data from a large Swiss insurance company (Helsana). Of 841 491 persons with drug claims during the whole study period, 78.7% were exposed to PGx drugs. Ibuprofen, pantoprazole, and tramadol had the highest number of users. Seven genes (CYP2C19, CYP2C9, CYP2D6, SLCO1B1, HLA-B, MT-RNR1, and VKORC1) were responsible for over 95% of all potential drug-gene interactions. The prevalence of PGx drug prescriptions is high in the Swiss population. Therefore, intensified preemptive testing may be a useful option as a substantial amount of the Swiss population might benefit.

Actual conditions of person-to-object contact and a proposal for prevention measures during the COVID-19 pandemic

This study focused on human contact behavior with objects and discussed countermeasures during the COVID-19 pandemic across 15 location types. Reducing contact with objects and disinfecting items can be implemented at a relatively low cost. We created a protocol for organizing the objects, and 1260 subjects who went outside during a day between December 3–7, 2020 in Tokyo and Kanagawa, Japan were surveyed. The participants touched 7317 objects in total; the most common objects were doors, chairs, baskets, elevator equipment, and cash. One-way analysis of variance and Scheffé’s multiple comparison test showed that supermarkets had the lowest mean and median values despite having the highest number of users, contact objects, and object types. Conversely, the values for hotels were the highest, significantly higher than that for other places, excluding amusement parks, workplaces, and schools and universities. Furthermore, the long-tailed frequency distribution of the number of objects suggests that the objects touched by many individuals are limited; thus, it is important to determine the objects to be prioritized for disinfection at each location. The data and protocol could inform infection countermeasures that properly address the contact realities as they pertain to people’s behavior and objects.