Internet Platform Research Articles

Changes in the lifestyle of Polish students as a result of the COVID-19 pandemic in the light of direct research

The COVID-19 pandemic has caused significant changes in the lifestyles of all social groups. As a result of the subsequent restrictions resulting from the epidemic threat, all areas of both professional and private life had to be modified. Students were a social group whose lifestyle changes were particularly visible. For most of this period, universities conducted classes remotely, using Internet platforms. Therefore, it was necessary to make changes in the current way of life, often associated with a change of place of residence, modification of the way of spending free time and current habits. A significant part of these changes may be permanent and remain after the end of the pandemic state or threat. The aim of the paper is to analyze the changes in the lifestyle of Polish students in the light of our own surveys addressed to them. The students’ opinions on the changes in the way of acquiring and testing knowledge, in relations with the university and peers, and in the process of communicating with them will be presented and critically assessed. Changes in the process of nutrition, healthcare, including the length of sleep and physical activity, and the pursuit of one’s own interests will also be taken into account. The conclusions of the research will be confronted with the results of other studies and analyses devoted to various problems of lifestyle changes under the influence of COVID-19.

From Waithood to Precariat: Unveiling the Unique Plight of the Sanhe Gods

In the realm of youth studies, the spotlight has often been cast upon the middle-class demographics and their contributions to internet culture, leaving a substantial portion of the youth populationthe lower-class youthlargely in the shadows. Among this overlooked demographic, the Sanhe gods stand out as a particularly neglected group. Despite their significant presence, having burgeoned in the early 2010s, it was not until the release of NHKs 2018 documentary Sanhe Talent Market: The Young People of China Earning 1500 Yen Daily that the academic world turned its gaze towards them for a thorough and systematic examination. This research paper aims to shed light on the unique circumstances surrounding the rise and current situation of the Sanhe gods. Through a qualitative analysis that incorporates anthropological studies by Chinese scholars and scrutinizes the digital footprints of the Sanhe gods across various internet platforms, this study seeks to unravel the complex tapestry of their existence. This study's findings underscore the Sanhe gods distinctiveness as a phenomenon deeply rooted in the socio-economic and cultural fabric of China, shaped by historical forces unique to the Chinese experience.

Pajak Iklan Online

This paper sheds new light on the question of how to build a tax model for online advertising and digital companies. Policy measures to tax transnational companies, including digital companies, should be based not only on the question of where and how much value is generated, but also on the question of who generates how much value. The legal definition of ‘digital permanent enterprise’ used in the context of online company taxation should be built on the understanding that only human labor creates the economic value of commodities. To counter the dominance of non-profit monopoly platforms on the Internet, the creation of public Internet services is a viable policy option. Introducing an online advertising tax is an ideal financial foundation to support the creation of public service Internet platforms and civil society Internet platforms.

Application Analysis of Doctor-Nurse Cooperation Follow-up Model Based on the Internet Platform in Continuation Care of Patients after Uro-oncology Surgery

Application Analysis of Doctor-Nurse Cooperation Follow-up Model Based on the Internet Platform in Continuation Care of Patients after Uro-oncology Surgery

Optimization of the process of communication with customers when organizing sales on Internet platforms

Relevance. Currently, the field of online trading on Internet platforms is actively developing. Online resources allow customers to familiarize themselves with the assortment, read reviews based on them and personal preferences, make a choice and, in general, make purchases without leaving home. Marketplaces are becoming the main platform for online sales.The purpose of the research is to develop a model for optimizing the process of communication with customers when organizing sales on Internet platforms.Objectives: to study the theoretical aspects of the concept of "communication process in the marketplace"; to identify the key problems of the communication process between customers and the seller on the marketplace, to develop a project to optimize the business process of "Communication between customer and seller" in RTK; to form recommendations for optimizing the process of processing information from customers.Methodology. The research is aimed at implementing the tasks set and is based on a review of scientific research by national and international market participants and a statistical analysis of the functioning of online trading platforms.Results. During the analysis of the work of the communications department of RTK LLC, a method for automating the communication process between customers and the seller was proposed, namely, optimizing the process of processing customer feedback, while implementing an automated software product.Conclusions. There are a huge number of technologies that can be implemented into the work of brands engaged in sales on the marketplace, and now this is becoming the most relevant, as the number of sellers in the market increases and competition between them becomes stronger. Mastering new digital technologies will allow trading companies to radically change the business ecosystem, make it faster and more efficient in order to meet the changing needs of customers.Optimizing the process of communication with customers when organizing sales on Internet platforms will help reduce time costs and increase the efficiency of sales organizations.

Perspectives on suicide among Chinese youth on internet platforms: A thematic analysis based on Comments from Bilibili users

This study employs Reflexive Thematic Analysis to explore youth expressions of suicide on Bilibili, a video platform popular among young audiences. By analyzing comments from three vloggers who died by suicide, the research identified 42 initial codes, leading to 19 themes and seven sub-themes, categorized into three main domains: Perspectives on Suicide, Perspectives on Life, and Perspectives on Death. The “Perspectives on Suicide” domain mainly includes individual assessments, attitudes toward suicide, and attributions of suicide behaviors. “Perspectives on Life” encompasses insights shaped by personal experiences, whereas discussions on death, less frequent, focus on perceptions of death and assumptions about the afterlife. The content reflects a blend of traditional Chinese views and a noticeable shift toward individualism, with the internet playing a significant role in stimulating discussions on suicide and facilitating the expression and exchange of related views. These findings provide critical insights for organizations developing effective suicide prevention strategies.

Pengaruh Aktivis Mahasiswa Dalam Perubahan Sosial Politik Di Era Digital 5.0

The study explores how student activists at the Islamic State University of North Sumatra (UINSU) influence the socio-political dynamics of the digital era 5.0. This era is marked by technological advances that integrate the physical, digital, and biological worlds, thus providing a new platform for student activism. Student activists not only act as agents of change through social and political activities, but they also use digital technology to expand their influence. The research uses a survey method with structured questionnaires distributed to UINSU student activists, as well as a qualitative approach to gaining an in-depth understanding of their views, attitudes, and experiences of socio-political change. Research findings indicate that student activists effectively use social media and digital technology for campaigns and mobilization. Through social media and internet platforms, activists can quickly mobilize people and draw attention to key topics such as gender equality, climate change, and human rights on a global scale. In the digital age of 5.0, student activists can also more successfully challenge existing forces by using digital tactics, including online campaigns, digital petitions, and online boycott movements, in addition to conducting physical demonstrations in public spaces. They not only use technology as a tool of struggle, but also as a new space for building critical awareness and solidarity. However, the research also finds challenges faced by student activists, such as the spread of disinformation and hoaxes, digital gaps, and technology access. Nonetheless, student activists continue to adapt quickly and innovate to overcome these barriers. The study provides significant insights into the role of digital technology in student activism and its implications for healthy political participation in the digital age 5.0, as well as solutions to strengthen the integrity of democracy at the local level.

TSDRL: A three-stage deep reinforcement learning method for reliable collaboration of manufacturing service towards mass personalized production

With the development of intelligent manufacturing driven by new-generation information technology, manufacturing service collaborative chains (MSCC) based on Industrial Internet Platforms have become the main way to cope with mass personalized production. To adapt the dynamics and variability of personalized demands, manufacturing services are required to be frequently reorganized. This leads to dynamic changes in manufacturing service availability and ambiguous reliable collaboration mechanisms, making it challenging for existing methods to consistently maintain stable MSCC. Therefore, this paper proposes a three-stage deep reinforcement learning method (TSDRL) to improve the reliability of MSCC while guaranteeing the satisfaction of personalized demands. The method comprehensively considers the dynamic changes of manufacturing services and service reliability, and solves the reliable MSCC recommendation problem. Specifically, in stage one, high-quality services are selected through DRL state. In stage two, the improved NSGA-III algorithm is used to optimize the MSCC. In stage three, the BP+GA algorithm is used to mine user preferences and recommend high-satisfaction MSCC. By leveraging the exploratory process of DRL, cyclic optimization of MSCC is performed. Through comprehensive analysis and experimental research, it is shown that the method of this paper is robust and practical in dynamic environment.

Research on Fault Diagnosis and Predictive Maintenance Technology for Construction Crane Equipment

Construction lifting machinery equipment plays an important role in construction operations, but due to complex environments and high-intensity use, it is prone to malfunctions, causing economic losses to enterprises and users. This research aims to realize intelligent monitoring, fault diagnosis and predictive maintenance of construction machinery equipment based on industrial Internet platform, Internet of Things and artificial intelligence technology, so as to reduce maintenance costs, improve equipment efficiency, and promote digital transformation of the industry.

Digital Privacy Challenges in China: Human Flesh Search

The advent of digital technology has brought unprecedented convenience but also significant challenges to personal privacy, particularly in China. The phenomenon of human flesh search (HFS), facilitated by both legal internet platforms and illicit information trade, has become a source of major privacy violations. This paper explores the effectiveness of China's current legal measures, particularly the Criminal Law as Article 253(A), in safeguarding personal information against these threats. It also examines the implications of these legal shortcomings on individuals daily lives and privacy. The dangers of human searches and their impact on the reality level are analyzed through detailed profiling of the parties involved in cases related to cyber violence. This report analyzes these legal inadequacies, comparing them with international standards, and suggests enhancements to better safeguard personal privacy in the digital age. By learning from international practices and rigorously adapting and enforcing its laws, China can better safeguard its citizens against privacy violations and set a standard for personal information protection in the digital era.

Macroeconomic news and price jumps: evidence from ETFs and LOFs in China

PurposeWe examine the relationship between macroeconomic news and fund price jumps, using high-frequency 5-min intraday data for Exchange Traded Funds (ETFs) and Listed Open-end Funds (LOFs) from 2019 to 2020.Design/methodology/approachWe utilize the non-parametric jump test known as the LM method to detect fund price jumps. In addition, we perform Logistic regression to analyze the relationship between macroeconomic news and fund price jumps. Moreover, we use multiple linear regression to explore the relationship between fund price jumps and subsequent returns.FindingsThe probability of price jumps increases by 22.56% when macroeconomic news is released. Moreover, the returns associated with news-driven price jumps display a reversal pattern, and there is an asymmetric relationship in subsequent returns following macroeconomic shocks. Specifically, funds tend to exhibit lower returns after news-driven price jumps compared to those that are not influenced by news events.Research limitations/implicationsIn today's digital age, investors have unprecedented access to a wealth of information through the Internet and various communication platforms. News and market data can be instantly accessed and disseminated, allowing for swift dissemination of information to investors worldwide. However, despite this enhanced accessibility, investors continue to exhibit overreactions or underreactions to new information.Practical implicationsMacroeconomic news release provide crucial insights into the overall health and performance of the economy. By monitoring and analyzing these indicators, investors can gain valuable information that can guide their investment decisions. Furthermore, by fostering a transparent and reliable information disclosure systems, governments can play a critical role in ensuring the stability and transparency of the funds market.Originality/valueThe paper utilizes 5-min high-frequency data from funds and incorporates a comprehensive macroeconomic news information database. These methodological choices enhance the precision and reliability of the analysis, allowing for a more nuanced understanding of the relationship between macroeconomic news releases and fund price jumps.

Design of Carbon Monitoring System Platform for Agricultural Energy Internet

As global climate change and carbon emission issues become increasingly severe, the agricultural energy internet plays a crucial role in achieving low-carbon development. The merging of new energy with modern agriculture is progressively being realized, making effective carbon monitoring and accounting especially critical. This paper presents a novel design for a carbon monitoring system platform for the agricultural energy internet, using aquaponics greenhouses as the research object. Addressing the difficulties presented by the diversity and magnitude of agricultural carbon sources, the paper proposes a carbon accounting model applicable to such greenhouse environments. This model aims to enhance energy utilization efficiency and reduce carbon emissions through precise accounting and monitoring. Subsequently, a carbon monitoring system applicable to the agricultural energy internet is designed. This system enables real-time and accurate monitoring and assessment of carbon emissions and absorption in agricultural parks. The platform, developed using a B/S architecture with a separation model between front-end and back-end employing Vue and Spring Boot frameworks, provides a comprehensive solution for monitoring and managing carbon emissions in agricultural energy.

Manufacturing enterprises digital collaboration empowered by Industrial Internet Platform: A multi-agent stochastic evolutionary game

Digital transformation is a critical way to improve the resilience of the manufacturing industry chain. However, the current digitalization of manufacturing enterprises lacks upstream and downstream linkage. If the level of digitization of upstream and downstream enterprises differs significantly, it will increase transaction costs. Digital transformation with the help of industrial Internet platform has become a trend. For this reason, this study deeply explores the influence mechanism of digitalization collaboration of manufacturing enterprises under the empowerment of industrial Internet platform. This paper constructs a stochastic evolutionary game model with core manufacturing enterprise, supplier and local government as the main players. Consider stochastic differential equations to analyze the stability conditions of game subjects, and explore different incentive mechanisms on enterprise strategy. The results show that the data security of the platform and the network effect coefficients significantly affect the strategy selection results of the players. Additionally, the change of environmental noise affects the strategy evolution process of the subject, and the supplier strategy is more affected by environmental noise compared to the core manufacturing enterprises. Furthermore, the dynamic incentive effect of the government is better than the static incentive, which can better promote the digital collaboration of manufacturing enterprises. Dynamic penalties are less effective than static penalties. The study’s conclusions can provide a reference for the government to implement the gradient digitalization incentive policy and provide a theoretical basis for promoting digital collaboration in manufacturing enterprises.

Smart and cost-effective water quality monitoring system: University of Baghdad canal case study

Polluted water causes diseases, affecting the ecosystem. Water quality is crucial due to high demand. Regular monitoring is essential for a consistent supply of fresh water. Internet of Things (IoT) advancements enable real-time monitoring and timely intervention for water quality issues. The current investigation evaluated a proposed smart, cost effective, high-efficacy IoT application of a water quality detection device that real-time monitors six measurement points along the University of Baghdad canal for five water quality parameters. With the Arduino platform and specific sensor properties, a low-cost monitoring system has been built. The data is shown on an LCD monitoring screen and presented on a Wi-Fi module before being transferred to the cloud and presented on a smartphone and internet platform. The results from the monitoring system for both winter and spring water quality are within the permissible limit according to standard limitations were average pH 7.687, total dissolved solid 406.75 mg/l, turbidity 25.883 NTU, and electrical conductivity 630.8 µS/cm. This framework may successfully offer an environment where there is enough water for agricultural purposes while also keeping a careful check on the contamination of water resources. On the other hand, this permits a well-managed water quality standard.

Influence of digital health literacy on online health-related behaviors influenced by internet advertising

BackgroundThe frequency of health-related information seeking on the internet and social media platforms has increased remarkably. Thus, the ability to understand and select accurate health-related information online, known as EHealth literacy, is crucial for the population. Therefore, this study aimed to evaluate how eHealth literacy influences the critical analysis of oral health-related information obtained from the Internet and its influence on oral health-related behaviors. MethodsA cross-sectional online study was conducted with 418 Brazilian adults who responded to the eHEALS questionnaire, with questions regarding the influence of online information on oral health decisions. Socioeconomic and demographic characteristics were also collected.ResultsThe mean eHEALS score was 27.85 (± 8.13), with a range spanning from 8 to 40 points. Participants with higher eHEALS scores reported using social media platforms to seek for dentists and to acque information about symptoms, diagnoses, and treatments. Furthermore, this group tended not to disregard professional health recommendations based on Internet information and abstained from utilizing products promoted by digital influencers. In multivariate models, increased eHEALS scores were associated with reduced consumption of products endorsed by digital influencers.ConclusionsThe findings from this study suggest that individuals with higher scores on the eHealth literacy questionnaire often conduct research on their health status and seek for health care providers on the Internet. Moreover, these individuals were less likely to be influenced by digital influencers.

Approaching a National Film History through Data. Network Analysis in German Film History

The present paper is an attempt at importing network analysis as a method and applying it to a field that has hitherto been examined in different ways: the study of national cinema. The approach was motivated by the perceived conundrum in the existing studies of German cinema that filmhistorical and political history usually do not match. The aim is to open up another perspective on the problem of periodization by looking at the data of film production, more specifically of collaboration. By using a comprehensive data set which is made availavable by the Filmportal, the central internet platform on German film, the approach in this paper is to look at the key creatives involved in the production of a film in the period from 1919 to 1939 and to conceptualize collaboration and connectivity in a (national) film culture through the use of network research methods.

The problem of protecting the right of a user of internet platforms to an account

The author raises the issue of the formation in the practice of the national regulator of the protection of the rights of users of Internet platforms in terms of illegal blocking and censorship restrictions, contrary to the fundamental principles and guarantees of freedom of collection, receiving and disseminating information and the right to freedom of expression in a democratic society. The author, analyzing the decision of the Federal Antimonopoly Service and other normative acts, states that the relevant judicial and administrative practice has not been generalized and logically developed in the form of amendments and additions to legislative acts. At the same time, the author concludes that the relevant user rights continue to be massively violated despite the imposition of large fines by both Russian courts and other State authorities. In the author’s view there is insufficient protection of user’s rights and redress.

RESESI SEKS : ANTARA KEBEBASAN INDIVIDU DAN HUKUM ISLAM

Developed countries, a sexual recession has become a new trend among the community, manifested in the form of concerns about family responsibilities. The high regard for the legality of marriage by all religions is gradually shifting with the times. The institution of marriage is considered incompatible with the current lifestyle of society, especially in some non-Muslim majority developed countries. This article aims to examine and analyze how a sexual recession can occur, and what are the factors and implications of the sexual recession in the era of disruption. This research is qualitative and descriptive, collecting data through library research and observing phenomena by obtaining evidence through the internet and various social media platforms such as YouTube, Instagram, Google, and others. The article shows that sexual recession is prevalent in some developed countries such as Japan, the United States, South Korea, China, and so on. This is due to a decline in interest in sex, marriage, and having children. Sex and religion, especially Islamic law, seem to act as constraints on individual freedom, leading to a decline in population from all aspects of life This serves as evidence that the sexual recession in some countries, especially developed ones, is heavily influenced by religious dogma and free association. Therefore, a study is needed that confronts the epistemology of religious dogma, especially when confronted with Islamic law and individual freedom within marriage.

Clickbait Detection for Amharic Language using Deep Learning Techniques

Because of, the increasing number of Ethiopians who actively engaging with the Internet and social media platforms, the incidence of clickbait is becomes a significant concern. Clickbait, often utilizing enticing titles to tempt users into clicking, has become rampant for various reasons, including advertising and revenue generation. However, the Amharic language, spoken by a large population, lacks sufficient NLP resources for addressing this issue. In this study, the authors developed a machine learning model for detecting and classifying clickbait titles in Amharic Language. To facilitate this, authors prepared the first Amharic clickbait dataset. 53,227 social media posts from well-known sites including Facebook, Twitter, and YouTube are included in the dataset. To assess the impact of conventional machine learning methods like Random Forest (RF), Logistic Regression (LR), and Support Vector Machines (SVM) with TF-IDF and N-gram feature extraction approaches, the authors set up a baseline. Subsequently, the authors investigated the efficacy of two word embedding techniques, word2vec and fastText, with Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU) deep learning algorithms. At 94.27% accuracy and 94.24% F1 score measure, the CNN model with the rapid Text word embedding performs the best compared to the other models, according to the testing data. The study advances natural language processing on low-resource languages and offers insightful advice on how to counter clickbait content in Amharic.

Code Mixing Phenomena in Vietnam Online Newspapers

Along with the development of society, based on the internet platform, in addition to other types of written and visual newspapers, online newspapers were born, allowing people around the world to quickly access news without delay depends on space and time. To attract readers, the language of online newspapers is also increasingly being innovated to meet readers' tastes. Code mixing is a fairly common phenomenon in online newspapers, giving readers interesting impressions. Therefore, the article "Code mixing phenomena in Vietnam online newspapers” will survey the forms of code mixing in languages in Vietnamese online newspapers, thereby providing comprehensive assessments of this phenomenon on the Internet journalistic language in particular and communication in general.