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The metaverse has influenced the development of science and technology since it was proposed. While artificial intelligence (AI) is still one of the important technologies to solve problems in metaverse. The success of AI in various fields and the development of information technology make the integration of sports industry and AI an inevitable trend. Currently, the traditional physical education is experiencing qualitative changes, and the demand of integrating AI and metaverse into physical education is becoming more and more obvious. Football teaching is an important part of physical education, and Virtual Reality (VR) has the characteristics of immersion, interaction and imagination, which can build virtual and realistic football teaching process. In this study, through 360-degree panoramic VR football teaching videos empowered by the metaverse and K-means algorithm based on machine learning under AI, we study the strategies for improving the quality of football teaching in the mobile Internet environment. Therefore, we propose K-means based optimized 360-degree panoramic VR football teaching video delivery strategy. In addition, we conduct simulation experiments under content delivery networks simulator, and the simulation results show that the proposed strategy is superior to the baselines in terms of proxy server hit ratio, byte hit ratio, mean response time and students quality of experience. Moreover, through the 360-degree panoramic VR football teaching videos learning, students can intuitively analyze the actions and improve the teaching quality. The reconstruction of football teaching environment is beneficial to promote the combination of football teaching and smart learning. [ABSTRACT FROM AUTHOR]

Addressing the global challenge of sustainable waste management, this research investigates the influence of social dynamics and digital connectivity on rural residents' willingness to adopt waste classification practices, essential for sustainable environmental management. Through a comprehensive analysis of 5413 rural participants surveyed in the China Labor-force Dynamic Survey (CLDS), this study employs a novel mixed-methods approach. It integrates quantitative analysis with the Manski social interaction framework and a Recursive Bivariate Probit model to explore the intricate interplay between community interactions, internet access, and environmental behaviors. Our methodology stands out for its unique combination of social theory and econometric modeling to address a pressing environmental issue. Results highlight a significant effect of mobile internet use and social interactions within communities on enhancing willingness towards waste classification. Notably, digital connectivity emerges as a key facilitator of environmental engagement, mediating social influences, and fostering a collective approach to waste management. Considering these insights, we propose targeted policy interventions that blend digital strategies with traditional community engagement efforts. Recommendations include crafting digital literacy programs and leveraging social media to bolster community-centric environmental governance. By harnessing the synergistic potential of digital tools and social dynamics, these strategies aim to elevate the effectiveness of waste classification initiatives in rural China, offering a scalable model for environmental sustainability. [ABSTRACT FROM AUTHOR]

IntroductionAlthough health-seeking behaviors are crucial to China’s healthcare delivery system, the influence of mobile Internet use in this context remains under-explored. This study aimed to comprehensively explore the influence of mobile Internet use on health-seeking behaviors, and meticulously examined the heterogeneity in health outcomes associated with the intersection between mobile Internet use and health-seeking behaviors.MethodsWe used nationally representative data derived from the China Family Panel Studies. Given that individuals typically make the decision to use mobile Internet autonomously, an instrumental variable regression methodology was adopted to mitigate potential selection biases.ResultsOur findings revealed that mobile Internet use significantly promoted self-medication and adversely affected the use of primary care facilities among Chinese adults. Furthermore, our findings highlighted the heterogeneous effects of mobile Internet use across diverse health demographic groups.ConclusionThese findings underscore the importance of strategic planning and utilizing mobile Internet resources to steer individuals toward more appropriate healthcare-seeking behaviors.

Background: In recent years, with the rapid development of mobile Internet and Web3D technologies, a large number of web-based online 3D visualization applications have emerged. Web3D applications, including Web3D online tourism, Web3D online architecture, Web3D online education environment, Web3D online medical care, and Web3D online shopping are examples of these applications that leverage 3D rendering on the web. These applications have pushed the boundaries of traditional web applications that use text, sound, image, video, and 2D animation as their main communication media, and resorted to 3D virtual scenes as the main interaction object, enabling a user experience that delivers a strong sense of immersion. This paper approached the emerging Web3D applications that generate stronger impacts on people's lives through “real-time rendering technology”, which is the core technology of Web3D. This paper discusses all the major 3D graphics APIs of Web3D and the well-known Web3D engines at home and abroad and classify the real-time rendering frameworks of Web3D applications into different categories. Results: Finally, this study analyzed the specific demand posed by different fields to Web3D applications by referring to the representative Web3D applications in each particular field. Conclusions: Our survey results show that Web3D applications based on real-time rendering have in-depth sectors of society and even family, which is a trend that has influence on every line of industry.

This paper explores the teaching path of the civics class in colleges and universities during the mobile Internet era, and uses a questionnaire survey to analyze the reality of current mobile Internet-based civics class instruction. The changes in the teaching of civics and political science classes under the influence of mobile internet are tracked and systematically analyzed in terms of differences. This study focuses on both the general effective education classroom and the effective education classroom in the mobile environment. It utilizes the Nvivo software to investigate the teaching styles of teachers and the interactions between teachers and students in these two learning modes. The results show that nearly 20% of the students are in schools that have not yet conducted mobile Internet civics instruction, and about 24.5% do not have political theory classes on mobile Internet teaching. In the context of mobile Internet, the habit of reading on a cell phone is increasing by 10% annually, and learners are paying the highest attention to public news sources, reaching 86.4%, which creates favorable conditions for teaching mobile Internet civics and politics. An effective education classroom in the mobile environment tends to be open; the ratio of teachers’ words to students’s words is about 2.09%, and teachers are more willing to use media resources, and network means to check students’ knowledge. And the classroom status is at 0%, and the teaching process is more stable.

This paper determines the solution vector of ELT proficiency constraint covariates using the correlation fusion approach, the proficiency prediction control objective function is constructed, and the education process’ quantitative recursive properties are discovered. The K-means algorithm is employed to obtain the predicted values of the resource limitation vector for ELT competence assessment, obtain the similarity of the distribution of teaching resources, combine linear regression grouping and integrate the ranking parameters for ELT competence assessment, obtain the characteristics of the data probability density, and finish evaluating the teaching model. The results show that the maximum utilization value reaches 99.03% by assessing English teaching ability through the K-means algorithm and linear regression, which indicates that the reasonable use of mobile Internet can enhance students’ English teaching level and ensure the efficiency of teaching resources utilization.

With the rapid development and wide popularity of Internet technology, mobile application services have become an indispensable part of people's daily life. As a typical mobile application service, mobile office can provide an anytime, anywhere platform, enabling users to use fragmented time and fully improve office efficiency. However, it differs from the traditional one in that the user's identity cannot be directly identified in real space. Therefore, the need to ensure the authenticity of the user's identity is not negligible. Authentication technology is one of the effective technologies to verify the identity of users. However, there are few authentication schemes for the mobile office. Therefore, this paper proposes a trusted authentication scheme based on a super SIM card for the mobile office. Based on the Generic Bootstrapping Architecture (GBA) authentication technology of the super SIM card, the authentication between the terminal device and the operator is realized. The authentication credentials are generated to provide trusted authentication for mobile office applications. We also have a comprehensive security analysis and proof that the scheme satisfies two-way authentication, anti-replay attack, anti-forgery attack, anti-man-in-the-middle attack and non-repudiation. [ABSTRACT FROM AUTHOR]

Addressing the global challenge of sustainable waste management, this research investigates the influence of social dynamics and digital connectivity on rural residents’ willingness to adopt waste classification practices, essential for sustainable environmental management. Through a comprehensive analysis of 5413 rural participants surveyed in the China Labor-force Dynamic Survey (CLDS), this study employs a novel mixed-methods approach. It integrates quantitative analysis with the Manski social interaction framework and a Recursive Bivariate Probit model to explore the intricate interplay between community interactions, internet access, and environmental behaviors. Our methodology stands out for its unique combination of social theory and econometric modeling to address a pressing environmental issue. Results highlight a significant effect of mobile internet use and social interactions within communities on enhancing willingness towards waste classification. Notably, digital connectivity emerges as a key facilitator of environmental engagement, mediating social influences, and fostering a collective approach to waste management. Considering these insights, we propose targeted policy interventions that blend digital strategies with traditional community engagement efforts. Recommendations include crafting digital literacy programs and leveraging social media to bolster community-centric environmental governance. By harnessing the synergistic potential of digital tools and social dynamics, these strategies aim to elevate the effectiveness of waste classification initiatives in rural China, offering a scalable model for environmental sustainability.

The behavior of users concerning mobile Internet varies significantly throughout the day. Results from existing studies—which generally simply segment one day into morning, afternoon, and evening—often provide inaccurate predictions of the behavior of users. To improve prediction accuracy, we propose a segment-based multi-state Markov (SBMSM) model for the dynamic time interval segmentation of the sequential behavior of users. The specific procedure of this proposed model can be described as follows: first, we divide each user's behaviors into minimum unit according to time dimension; then, we merge adjacent time intervals or ensure they are constant according to the similarities in behavior; and finally, a multi-state Markov (MSM) model is trained using the newly constructed data individually. The experimental results illustrate that for 95.78% of users, an SBMSM model performs much better than a naive MSM model and hidden Markov model. [ABSTRACT FROM AUTHOR]

Digital pathological scanners transform traditional glass slides into whole slide images (WSIs), which significantly improve the efficiency of pathological diagnosis and promote the development of digital pathology. However, the huge economic burden limits the spread and application of general WSI scanners in relatively remote and backward regions. In this paper, we develop an automatic portable cytopathology scanner based on mobile internet, Landing-Smart, to avert the above problems. Landing-Smart is a tiny device with a size of 208 mm × 107 mm × 104 mm and a weight of 1.8 kg, which integrates four main components including a smartphone, a glass slide carrier, an electric controller, and an optical imaging unit. By leveraging a simple optical imaging unit to substitute the sophisticated but complex conventional light microscope, the cost of Landing-Smart is less than $3000, much cheaper than general WSI scanners. On the one hand, Landing-Smart utilizes the built-in camera of the smartphone to acquire field of views (FoVs) in the section one by one. On the other hand, it uploads the images to the cloud server in real time via mobile internet, where the image processing and stitching method is implemented to generate the WSI of the cytological sample. The practical assessment of 209 cervical cytological specimens has demonstrated that Landing-Smart is comparable to general digital scanners in cytopathology diagnosis. Landing-Smart provides an effective tool for preliminary cytological screening in underdeveloped areas. [ABSTRACT FROM AUTHOR]

Smart farming for field crops is a significant part of the smart agriculture. It aims at crop production, integrating modern sensing technology, new generation mobile communication technology, computer and network technology, Internet of Things(IoT), big data, cloud computing, blockchain and expert wisdom and knowledge. Deeply integrated application of biotechnology, engineering technology, information technology and management technology, it realizes accurate perception, quantitative decision-making, intelligent operation and intelligent service in the process of crop production, to significantly improve land output, resource utilization and labor productivity, comprehensively improves the quality, and promotes efficiency of agricultural products. In order to promote the sustainable development of the smart farming, through the analysis of the development process of smart agriculture, the overall objectives and key tasks of the development strategy were clarified, the key technologies in smart farming were condensed. Analysis and breakthrough of smart farming key technologies were crucial to the industrial development strategy. The main problems of the smart farming for field crops include: the lack of in-situ accurate measurement technology and special agricultural sensors, the large difference between crop model and actual production, the instantaneity, reliability, universality, and stability of the information transmission technologies, and the combination of intelligent agricultural equipment with agronomy. Based on the above analysis, five primary technologies and eighteen corresponding secondary technologies of smart farming for field crops were proposed, including: sensing technologies of environmental and biological information in field, agricultural IoT technologies and mobile internet, cloud computing and cloud service technologies in agriculture, big data analysis and decision-making technology in agriculture, and intelligent agricultural machinery and agricultural robots in fireld production. According to the characteristics of China's cropping region, the corresponding smart farming development strategies were proposed: large-scale smart production development zone in the Northeast region and Inner Mongolia region, smart urban agriculture and water-saving agriculture development zone in the region of Beijing, Tianjin, Hebei and Shandong, large-scale smart farming of cotton and smart dry farming green development comprehensive test zone in the Northwest arid region, smart farming of rice comprehensive development test zone in the Southeast coast region, and characteristic smart farming development zone in the Southwest mountain region. Finally, the suggestions were given from the perspective of infrastructure, key technology, talent and policy.

This paper firstly analyzes the comparative advantages of carpooling under the mobile Internet and traditional travel modes, including buses, private cars and taxis, as well as the differences between carpooling under the mobile Internet and traditional carpooling, so as to obtain the factors that affect travelers' mode choices. Secondly, the mixed logit model is used to describe the travelers' travel mode choice behavior, which effectively avoids the limitations of the IIA characteristics and preference randomness of the logit model. Finally, we conducted an SP survey on 1077 samples online and offline. After eliminating some invalid samples, 984 valid ones were obtained. Based on these survey data, we analyze the impacts of carpooling under the mobile Internet on the mode shares of traditional travel modes. The results show that for different trip lengths, carpooling under the mobile Internet has different degrees of substitution for buses, taxis and private cars. That is to say, travelers who previously chose buses and other modes will shift to carpooling due to the mobile Internet. In addition, in most cases, the emergence of carpooling under the mobile Internet is helpful to reduce the traffic volume in the urban road network, thus alleviating the urban congestion. However, when the trip length is short and the seat utilization ratio of carpooling under the mobile Internet is low, carpooling under the mobile Internet will increase the traffic volume. [ABSTRACT FROM AUTHOR]

Unconsciously, mobile Internet information influences college students' sports behavior and awareness, although the exact consequences have not been widely studied. The majority of the extant research focuses on behavioral science and sports communication. Using past research as a foundation, this study investigates the impact of mobile Internet on college students' sports behavior and awareness. In particular, a static structural analysis was performed on an intervention event network for the effect of mobile Internet on college students' sports behavior and awareness. Then, using system event analysis, a well-established method in complex system research, the interaction link between distinct intervention events in the network was investigated in depth, and the composite degree of effect between them was calculated. The core logic and action mechanism of the event-based hierarchy model were then revealed using the integrated fuzzy-interpretative structural model. Finally, experiments confirmed that the proposed paradigm was successful. [ABSTRACT FROM AUTHOR]

With the rapid development of the Mobile Internet and the Industrial Internet of Things, a variety of applications put forward an urgent demand for user and device identity recognition. Digital identity with hidden characteristics is essential for both individual users and physical devices. With the assistance of multimodalities as well as fusion strategies, identity recognition can be more reliable and robust. In this survey, we turn to investigate the concepts and limitations of unimodal identity recognition, the motivation, and advantages of multimodal identity recognition, and summarize the recognition technologies and applications via feature level, match score level, decision level, and rank level data fusion strategies. Additionally, we also discuss the security concerns and future research orientations of learning-based identity recognition, which enables researchers to achieve a better understanding of the current status of this field and select future research directions. This survey summarizes and expands the fusion processing technologies and methods for multi-source and multimodality data, and provides theoretical support for their applications in complicated scenarios. In addition, it enables researchers to achieve a better understanding of the current research status of this field and select proper future research directions. • User identity recognition by leveraging physiological and behavioral biometrics. • Device identity recognition by leveraging physical fingerprint. • Multi-modality data fusion strategies by combining multi-level semantic information. • Security concerns and future work towards learning-based identity recognition. [ABSTRACT FROM AUTHOR]

The article is devoted to the process of development of the Chinese e-commerce market in the structure of the Chinese economy. The process of formation and development of the Chinese e-commerce market is researched and analyzed, and the main events of the new stage of the Chinese e-commerce market are considered. At the same time, a justification is given for distinguishing two stages in the development of this market. The reasons for the successful development of Chinese companies in the field of e-commerce were identified, and China’s leading platforms in three types of e-commerce were studied: B2C, B2B, C2C. The study showed the great importance of e-commerce in the development of the Chinese economy, as it contributed to solving the most important tasks such as eliminating poverty, raising the living standards of both the urban and rural population.Aim. To explore the process of formation and development of Chinese e-commerce market.Tasks. To study and analyze the formation and development of e-commerce market, as well as to consider main events of a new stage of its development in the structure of the Chinese economy.Methods. In this work, we used such empirical methods as comparative analysis, such theoretical research methods as deduction; the method of historical analysis was used, as well as statistical methods and general logical methods (analysis and synthesis).Results. The study showed the great importance of e-commerce in the development of Chinese economy. It contributes to solution of such critical tasks as raising the living standards of both urban and rural populations, eradicating widespread poverty, etc. China is the world’s leader in terms of retail e-commerce. «Alibaba Group» has been the leader in B2B, B2C and C2C for many years. Today, Chinese companies are leaders in the global e-commerce markets. Results of the study are based on the analysis of information obtained from various available sources, including official statistics.Conclusion. The importance of e-commerce in the development of the Chinese economy in the 21st century is great. And this, in our opinion, is the merit of Chinese government, which supports development of the country’s technical progress, including development of e-commerce. Moreover, China’s transition to mobile Internet has accelerated development of e-commerce. At the same time, important factors in accelerating the development of this industry are active competition of companies in this area, support from private entrepreneurs in other countries and, most importantly, support from Chinese government. And all this has contributed to the fact that the Chinese e-commerce market has developed faster than e-markets of other countries.

With the rapid development of the mobile Internet, people's demand for information is increasing, and the traditional fitness model is unable to meet the development needs of society. In this study, mobile Internet technology is used to build a new type of green intelligent fitness system. The system can collect users' fitness data and upload the data to the cloud server. And users can obtain their exercise data and their ranks at any time through mobile APP to realize data sharing. At the same time, WebSocket technology is used to realize real-time updates of data, and a collaborative filtering recommendation algorithm is used to analyze users' rating data and recommend intelligent fitness equipment for users. It is found that the system constructed in this study uses the computing power of multiple nodes in the cluster to analyze the fitness data on the cluster rapidly. Based on the collaborative filtering algorithm, the analysis of users is realized, and the recommendation accuracy is up to 89%. This study first puts forward the combination of mobile Internet and traditional fitness industry, which provides a reliable way to promote the development of national fitness. [ABSTRACT FROM AUTHOR]

The rapid advancement of technology in recent years has led to an increasing dependence on mobile devices for communication, entertainment and access to information. The rise of the mobile internet has fundamentally transformed the way we live, work, and interact with each other. This paper examines the evolution of portable devices, from the first mobile phones to modern smartphones and tablets, and explores the impact of these devices on the development of the mobile Internet. We trace the evolution of mobile technologies, from the early days of cellular networks to the emergence of 3G, 4G, and 5G networks, and the development of Wi-Fi and Bluetooth technologies. We also explore the impact of mobile devices on various industries, including advertising, entertainment, and e-commerce. Through this analysis, we aim to provide a comprehensive understanding of the rise of the mobile internet and the transformative effect it has had on society. [ABSTRACT FROM AUTHOR]

The mobile internet has already become an important technology due to the higher internet users and the several benefits of the adoption. However, the investigation on the adoption of mobile internet and the exploration of the internet adoption on palm oil productivity is relatively rare. This study aims to determine the factors influencing mobile internet adoption and its implication on the productivity of palm oil farmers. There are two techniques used to achieve the aim of this study, namely logistic regression and linear multiple regression. This research involved 119 palm oil farmers in Siak Regency. The result is that palm oil farmers' adoption of mobile internet is determined by education, training size, ease of use, and productivity. The mobile internet adoption has not significantly affected the productivity of palm oil farmers. This research only limited in mobile internet usage due to the higher of trend in this technology. Therefore, the further research could be applied by using another technology related on internet access. [ABSTRACT FROM AUTHOR]

Mobile Internet refers to a new mode of information interaction through mobile terminals and the use of wireless communication to access information services. The mobile Internet has provided a new model for the traditional information circulation mode, rural economic structure, and social transformation. With an association between the mobile Internet and farmers' adoption behavior of new green technology, this paper investigated the impact of mobile Internet application on farmers' adoption of green technology through a mediating effect model. From the perspective of new agricultural technology diffusion and based on the perspective of factor substitution, we decompose the mechanism that mobile Internet applications affect the adoption of new wheat varieties. Along the path of information transmission, evaluation, and adoption of new wheat varieties, we deeply explored the impact of the mobile Internet on the adoption of new wheat varieties by different types of wheat growers. The results show that there is a significant mediating effect of information acquisition ability, risk attitude, and expected return on the influence of the mobile Internet on green technology adoption. For the adoption mechanism of new green varieties, there was a distinct difference among various farmers. [ABSTRACT FROM AUTHOR]

The purpose is to improve the accuracy of e-commerce mobile payment risk prediction, and further analyze the characteristics of mobile payment users and their impact on e-commerce activities, to solve the problem of mobile payment in different business environments. Based on the preliminary exploration of cloud computing, first, the concept of mobile payment and related theories are elaborated, and the development and operation mode of e-commerce are discussed. Mobile payment based on financial technology, online shopping and social entertainment are analysed, respectively. Based on BP neural network and data mining technology, multi-dimensional e-commerce mobile payment risk time series are analyzed, and e-commerce mobile payment risk prediction model is constructed. The comparative experiment reveals that the risk prediction deviation of e-commerce mobile payment based on BP neural network is very small, which can track the change characteristics of e-commerce mobile payment risk with high precision, and the efficiency of e-commerce mobile payment risk prediction is very high. In the cloud computing environment, mobile payment can analyze financial products and improve transaction security. Moreover, it can carry out product research and analysis, solve the risk problem under the background of online shopping, and promote the diversified development of e-commerce under the background of social entertainment. [ABSTRACT FROM AUTHOR]

Under the omni-channel supply chain by mobile internet, considering both cooperation and competition, this article establishes the pricing model before and after the integration of the omni-channel supply chain by mobile internet and the coordination strategy model under the mobile internet e-commerce logistics cooperation, so as to obtain the wholesale price decision and retail price decision and compensation decisions etc. of supplier S. Furthermore, it can also obtain the corresponding price of retailer T accordingly. Based on the analysis of the above two models, numerical simulations are carried out to compare the optimal decision-making volume before and after the integration of the omni-channel supply chain by mobile internet and the overall profit level. With the help of the numerical simulation results of the above models, the effectiveness of the integration of the omni-channel supply chain by mobile internet is demonstrated which achieving win-win and multi-win in both greater breadth and depth in the supply chain. [ABSTRACT FROM AUTHOR]

Commercial and research applications of artificial Intelligence (AI) are becoming increasingly important. AI is used to improve products, predict customer behavior, keep track of inventory, and analyze Big Data. AI agents are also employed to improve the performance of search engines and smartphones. There are a number of ways that AI is being considered for applications in the library, especially data analysis, supporting remote access to library services, and making the library a center for research using Big Data. AI has the potential to perform routine tasks that now require a human being, which will free up librarians to offer the in-depth expertise that is essential for advanced research. [ABSTRACT FROM AUTHOR]

Driven by the ubiquity and strong context dependence of mobile app use, Internet companies are in a race of cross-industry expansion to build a seamless ecosystem incorporating various contexts. This paper offers several insights on improving app use in the era of mobile Internet. In contrast to PC Internet, in addition to hedonic and utilitarian states, we uncover a novel social state that is prevalent but transient, indicating mobile users have a fundamental need for frequent light-social activities. Thus, one strategy to increase use is to enrich an app's social components, specifically on light-social functionalities. In addition, our results show that app use interdependence is the strongest under the hedonic state. This indicates the strategic value of boosting current app use is the highest in the hedonic state, providing guidance to companies on better spending of their limited marketing resources. Furthermore, we show that these internal states are interdependent of each other and their dynamic is affected by contextual factors that are distinct in the mobile context. Thus, companies should put more weight on tailoring their engagement strategies under different contexts in the ear of mobile Internet than the traditional PC context. Mobile application use has become an essential activity in many people's daily lives in the mobile Internet era. Driven by its ubiquity and strong context dependence, Internet companies are in a race of cross-industry expansion to build a seamless ecosystem incorporating various contexts. Amid such trends, a better understanding of cross-app uses and the impact of contexts becomes critical and imperative. Yet, research on cross-app uses in information systems and marketing is scarce. In this paper, we aim to fill this gap. We develop a hidden Markov model to study cross-app uses (choice and duration), capturing their interdependence and the impacts of contextual factors. We calibrate it using a consumer panel that contains real-time app use information. Our key findings are as follows. (1) In addition to the utilitarian and hedonic states behind consumer decisions identified in prior literature, we uncover a novel social state behind mobile user behavior. App use behavior exhibits large differences across three states. (2) Within-state app interdependence is strongest in the hedonic state, followed by the social and utilitarian states. (3) Social state is the most transient (i.e., mostly likely to switch away), followed by the hedonic and utilitarian states. (4) Contextual factors—in particular, location and time of day—influence the state dynamic. Compared with the intrinsic state transition, being at home or on the way (versus office) and in the morning or evening (versus night) leads to higher volatility. We discuss the managerial implications for a variety of mobile digital strategies. [ABSTRACT FROM AUTHOR]

Abstract Mobile has become the primary mode of Internet access for many people. Existing studies have generally indicated that mobile Internet represents an inferior substitute for traditional PC-based Internet. In particularly, mobile-only users are often found to be the most disadvantaged. This paper explores the usage characteristics of multimodal users by differentiating mobile-reliant users, who primarily rely on mobile phones to access the Internet, and non-mobile-reliant users, who primarily use PCs to access the Internet, and investigates the socioeconomic characteristics of mobile-reliant users, the association of the access preference and usage patterns, and whether a new type of digital divide has emerged. Based on data collected in a major public research university in southwest China, this study demonstrates that mobile-reliant users are not disadvantaged compared to non-mobile-reliant users in terms of usage, with the development of advanced mobile technology and the wealth of mobile-friendly content available therein. Practical implications for higher educators are also discussed.

We investigate how information and communication technology (ICT) service providers can win back disadopters of an earlier generation of technology when a new technology generation appears on the market. Integrating prior research on consumers’ defensive bias, knowledge accessibility, diffusion of innovation, and technology adoption, we developed a model to predict disadopters’ intention to readopt a technology. We postulate that the primary reason for disadoption moderates the impacts of both the drivers of readoption (perceived superiority, effort expectancy, price value of the new technology generation, and social influence) and the characteristics of prior usage experience with the disadopted earlier technology generation (duration of disadoption, tenure with the old generation, and usage intensity of the old generation) on readoption intention. We tested our technology readoption model in the context of mobile Internet services. Data were collected from 274 disadopters of an earlier generation of mobile Internet services before the advent of the third generation (3G) technology. The results supported most of our hypotheses. These findings have significant theoretical and practical implications, especially for firms interested in winning back technology disadopters. Finally, we present an agenda for further research into technology readoption. [ABSTRACT FROM PUBLISHER]

Mobile internet information has an unintended effect on college students' sports behavior and awareness, although the specific implications have not been widely discussed. Existing research focuses primarily on behavioral science and sports communication. Using prior research as a foundation, this article examines the intervention of mobile internet on the sports behavior and awareness of college students. Specifically, an intervention event network was built and subjected to static structural analysis to determine the influence of mobile internet on college students' sports behavior and awareness. Then, using system event analysis, a well-established technique in complex system research, the interactive relationship between different intervention events in the network was thoroughly analyzed, and the composite degree of influence between them was assessed. The integrated fuzzy-interpretative structural model was then used to deduce the event-based hierarchy model's core logic and action mechanism. Finally, the proposed paradigm was demonstrated to be effective via experiments. [ABSTRACT FROM AUTHOR]

The authors consider such issues as (1) forming a valid educational system in a high-tech world; (2) forming the principles upon which it should be built; (3) considering the primary subjects of interaction with high-tech educational system; (4) imposing the effective methods, tools, development technologies, and self-development techniques of subjects in the context of the educational system; (5) defining what is possible to entrust to machines in a digital educational system, in comparison with humans; (6) evaluating the digital skills education efficiency; (7) defining methods that provide the efficiency of educational influence. The primary method of the research is the analysis and generalization of the national and foreign scholarly works in terms of what are the features of the evolution of the educational system in a modern high-tech society. The authors conclude that the key tendency in the development of educational technologies consists in the need to expand the existing formats of educational courses for the development of digital skills with technologies that use mobile learning and artificial intelligence programs. [ABSTRACT FROM AUTHOR]

The aim of the study is to analyze the effects of successful aging on technology acceptance and use behaviors, via developing a model. This study was conducted with 687 participants in five Retirement Rest Homes in Turkey. A model was developed to meet the study's research objectives using the scales of successful aging and the second unified theory of acceptance and use of technology. A path analysis was performed with Partial Least Squares (PLS) structural equation model. Struggle Against Difficulties (SAD) significantly predicted performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, habit, and behavior intention, even though SAD did not predict USE. HLH significantly predicted performance expectancy, social influence and facilitating conditions; HLH did not predict effort expectancy, hedonic motivation, price 15 value, habit, behavior intention, and USE. It was revealed that successful aging affected the technology acceptance model in general except the use of technology. It is recommended for future studies that successful aging should be evaluated with varied model studies. [ABSTRACT FROM AUTHOR]

A predicament facing education is that the traditional teaching mode could no longer meet the requirements of modern society. The fast development of mobile Internet technology has brought online education platforms into existence, and these newborn things are very helpful to solve the mentioned contradiction. To deepen the research of the application of mobile Internet technology in modern education, this paper designed the functional modules of an intelligent online English teaching (IOET) system and implemented the proposed system. In our study, satisfying students' learning requirements had been taken as the core principle when building the proposed system, and the database design had followed the principles of standardization, consistency, security, integrity, scalability, and ease of maintenance. The IOET system adopts a three-layer architecture, from top down, the system has a representation layer, a business logic layer, and a data service layer. The main management modules of the system include course notification module, visitor management module, and homework management module, etc. Through this paper, we hope to provide a piece of evidence for the basic research on the upgrade and improvement of intelligent online English teaching platforms. [ABSTRACT FROM AUTHOR]

College students are having a difficult time in hunting a job upon graduation. The mobile Internet helps to promote the employment of college graduates. In an environment of mobile Internet, this paper clarifies the current state of Entrepreneurship Education (EE) for college students, and discusses the effectiveness of EE in the context of a mobile Internet environment. The results show that: mobile Internet enriches the substance of EE courses in colleges, improves the environment of EE, facilitates the provision of EE for college students, makes the EE model fairer, and promotes the reform of the model. In addition, the EE platform built for college students can be broken down into three layers: a data access layer, a business logic layer, and a user interface layer. [ABSTRACT FROM AUTHOR]

With the development of education, teaching, as the basic and central work at school, is conducted most frequently with the largest workload. In simple words, teaching management for the purpose of the management of teaching work is an essential content of school management, as well as a basic activity of school leaders. Therefore, more than just the basis and guarantee for the normal operation of school teaching, teaching management course plays a critical role in teacher growth and education reform, has great significance for schools. However, problems in current teaching management courses, such as lack of teacher-student interaction, single teaching content, and simple teaching methods have hindered students to develop interest in learning, and impede teachers to give full play to their educational personality. In this paper, a new collaborative knowledge construction teaching approach was applied in mobile Internet technology environment, and a blended teaching model of students' online autonomous collaborative learning before class, knowledge internalization in class, and leak filling after class was proposed. At the same time, the personalized recommendation technology based on collaborative filtering algorithm was applied. Firstly, mobile terminal core information was collected from the mobile Internet learning platform for preprocessing, and then the processed data were identified by the collaborative filtering algorithm to recognize the intrusion data, thereby realizing the quick screening and accurate pushing of learning resources. It was found from the teaching practice that this model can effectively enhance students' interest in learning, improve learning effects and independent innovation capabilities. [ABSTRACT FROM AUTHOR]

Introduction: Although health-seeking behaviors are crucial to China's healthcare delivery system, the influence of mobile Internet use in this context remains under-explored. This study aimed to comprehensively explore the influence of mobile Internet use on health-seeking behaviors, and meticulously examined the heterogeneity in health outcomes associated with the intersection between mobile Internet use and health-seeking behaviors., Methods: We used nationally representative data derived from the China Family Panel Studies. Given that individuals typically make the decision to use mobile Internet autonomously, an instrumental variable regression methodology was adopted to mitigate potential selection biases., Results: Our findings revealed that mobile Internet use significantly promoted self-medication and adversely affected the use of primary care facilities among Chinese adults. Furthermore, our findings highlighted the heterogeneous effects of mobile Internet use across diverse health demographic groups., Conclusion: These findings underscore the importance of strategic planning and utilizing mobile Internet resources to steer individuals toward more appropriate healthcare-seeking behaviors., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Lin and Lin.)

Although mobile Internet has become an integral part of people's daily life in the world today, research on whether and to what extent mobile Internet use (MIU) affects the subjective well-being (SWB) of older adults is scant. This paper focuses on the SWB-MIU gradients among older Chinese adults and contributes to the literature by exploring the relationship between MIU and SWB across the entire distribution of older adults' SWB. Using nationally representative data from the China Family Panel Studies, we find that MIU has a significant positive impact on the SWB of older adults in China. Employing an instrumental variable quantile regression approach, we provide robust evidence of an asymmetric distributional impact of MIU on SWB among older Chinese adults. In particular, we find that individuals with lower levels of SWB benefit more from the usage of mobile Internet. The results further indicate that MIU can improve the relationship between older adults and their adult children, and is conducive to the maintenance of kin ties, which we interpret as potential mechanisms through which MIU positively affects SWB among older Chinese adults. [ABSTRACT FROM AUTHOR]

In debates on digital affordances, mobile devices and social media platforms are often treated as separate (physical or digital) objects which function independently from each other and from the environments in which they are used ('platform-centrism'). However, mobile phone use has increasingly been dominated by social media apps while social media are frequently accessed via mobile devices, particularly in Global South contexts where users often rely on mobile-only internet access via subsidized/zero-rated social media data bundles. Furthermore, the affordances of mobile social media are shaped by the physical, mediated and political contexts in which they are used. Technological affordances are far from universal ('digital universalism') but take on different shapes across the globe. Drawing on research carried out during the September 2011 Zambian elections, this article introduces the notion of 'relational affordance' to emphasize the interplay between mobile social media, users and their varied contexts. Despite the relatively low number of mobile internet users at the time, the Facebook group of the popular, privately-owned Zambian television station, Muvi TV, quickly emerged as a fast-paced forum for the sharing of information on the elections. Three 'relational affordances' – infrastructure, home-based access and temporality – help to explain the emergence of this active mobile social media public. This analysis challenges previous accounts of mobile social media publics which identified negative (constraining) affordances like the control exerted by Facebook page administrators and positive (enabling) affordances such as the 'always-on' nature of mobile social media use and their 'on-the-go' access in public spaces. [ABSTRACT FROM AUTHOR]

With the rapid development of mobile internet, location-based services have been drawing great attention of both industry and academia. Given a dataset of location-based services, the search engine needs to recommend a proper set of services to a mobile internet user based on both query keywords and one's location. To realize great scalability, flexibility and cost saving, the data owners tend to outsource the dataset to the cloud untrusted. In this paper, we provide a secure and efficient service retrieval scheme in cloud computing. Specifically, a novel encrypted index structure is designed by taking both service texts and locations into consideration. Moreover, a depth-first search algorithm is created for the index and it can efficiently return query results. Theoretical analysis and simulation results illustrate security and efficiency of our scheme. [ABSTRACT FROM AUTHOR]

The user behavior characteristics of mobile social network services are of guiding significance to the evaluation of user experience, and test cases and test scenarios should be designed according to user behavior characteristics. Current studies have heavily addressed the action sequence and the frequency distribution of user behavior. However, there is little research on the amount of user action triggered by the communication angle and the fluctuation of the user's action communication performance under different scenarios. This paper analyzes the distribution of data concerning different user actions and tests the waiting time and success rate of different user actions in different scenes. The results suggest that the complex scenarios can consist of some typical user behaviors. [ABSTRACT FROM AUTHOR]

Mobile has become the primary mode of Internet access for many people. Existing studies have generally indicated that mobile Internet represents an inferior substitute for traditional PC-based Internet. In particularly, mobile-only users are often found to be the most disadvantaged. This paper explores the usage characteristics of multimodal users by differentiating mobile-reliant users, who primarily rely on mobile phones to access the Internet, and non-mobile-reliant users, who primarily use PCs to access the Internet, and investigates the socioeconomic characteristics of mobile-reliant users, the association of the access preference and usage patterns, and whether a new type of digital divide has emerged. Based on data collected in a major public research university in southwest China, this study demonstrates that mobile-reliant users are not disadvantaged compared to non-mobile-reliant users in terms of usage, with the development of advanced mobile technology and the wealth of mobile-friendly content available therein. Practical implications for higher educators are also discussed. [ABSTRACT FROM AUTHOR]

Improving health-related physical fitness plays an important role in enhancing the comprehensive physical fitness of college students. The traditional test of health-related physical fitness is characterized by complicated operations and low efficiency. A set of test methods for health-related physical fitness of college students based on an intelligent mobile terminal is designed in this work. The intelligent test method calculates the health-related physical fitness level of users through image acquisition and analysis by combining intelligent terminal software and test items of key elements. To verify the validity of the proposed method, a total of 116 college students (59 males and 57 females) aged between 18 and 22 are chosen as test respondents. The health-related physical fitness of respondents is tested and compared by using the traditional and proposed methods. The traditional test method reports the cardiorespiratory fitness scores of 69.6 ± 9.5 (M) and 77.1 ± 9.9 (F), and the proposed method reports 70.9 ± 9.7 (M) and 77.7 ± 9.8 (F). Twenty samples are chosen randomly to calculate the correlation coefficients r = 0.944 (M) and 0.965 (F) and significance p = 0.145 (M) and 0.489 (F). The flexibility fitness scores in the traditional method are 74.6 ± 11.9 (M) and 73.3 ± 11.5 (F), and the scores of the proposed method are 74.8 ± 11.5 (M) and 75.0 ± 11.2 (F). Twenty samples are chosen randomly to calculate r = 0.944 (M) and 0.938 (F) and p = 0.941 (M) and 0.098 (F). In the proposed method, muscle strength/muscular endurance fitness and a body composition module are tested by the traditional method, and test data are input into an artificial input system. The experimental results verify the accuracy of the proposed method in evaluating the health-related physical fitness of college students. Application of the proposed method can effectively reduce the cost of physical fitness testing, increase the convenience of testing, and direct substantial attention to the health-related physical fitness of college students.

Timely assessment of the structural safety status of water diversion projects and taking necessary preventive measures are the primary conditions to ensure the safe operation of large-scale diversion structures. This paper proposes an integrated visualization framework based on the Building Information Model (BIM) to support the safety management of water diversion projects. The framework integrates data collection, data analysis, warning issuance, and emergency disposal into an integrated platform, which improves the automation level of safety management and the efficiency of emergency response. On this basis, a prototype system is developed and implemented in a water diversion project in Henan Province, China. The prototype of the system can automatically evaluate the structural safety status of water diversion structures, issue corresponding warnings to managers, and provide visual prompts to support decision-making. The system prototype and its demonstration verify the applicability and effectiveness of the framework. [ABSTRACT FROM AUTHOR]

In networked mobile commerce network transactions, trust is the prerequisite and key to a smooth transaction. The measurement of trust between entities involves factors such as transaction amount, transaction time, personal income of consumer entities and their risk attitude towards trust, etc., so it is difficult to accurately calculate quantitatively. In order to find out the essential characteristics of this trust relationship, based on the research background of mobile commerce in the mobile network environment, a dynamic trust mechanism is proposed through the research of trust in the mobile network environment, trust influencing factors and trust mechanism. The calculation model of mobile interactive services based on mobile service business transactions. The model calculates feedback credibility through feedback deviation and feedback robustness, and combines transaction context factors and trust mapping mechanism to judge the seller's credibility. This model better reflects the degree of influence of subjective factors such as personal preferences and risk attitudes on trust calculations, And the sensitivity of trust algorithms and transaction attributes has been greatly improved. After a large number of experiments and theoretical analysis, this mechanism provides an effective explanation for solving the problem of network trust computing. and provides valuable new ideas for the study of secure transactions in the mobile Internet environment. [ABSTRACT FROM AUTHOR]