bluuebunny/crossref_metadata_2025_split huggingface dataset:
Legal regulation of employee privacy in the United States of America
Authors: Lutsenko O.Ye. 
Published: June 2023

Current labour legislation does not contain prescriptions that would guarantee employees the right to privacy, but such legal regulation has long existed abroad, which can be valuable for Ukraine in order to accumulate the best global experience in ensuring the protection of employee privacy.
In the US, employee privacy encompasses two aspects: first, the employee's right not to disclose personal information to his employer, and second, the employee's right to personal autonomy, or so to speak, sovereignty in certain life decisions. In many important aspects, these two forms of privacy are quite different from each other, but within the scope of labour law, the right not to disclose certain personal information and the right to personal autonomy is still conceptually united by the obligation to ensure the employee's privacy at the workplace. In other words, such autonomy implies that the employer must know about its employees and control what the employees do, but only within the framework of the employment relationship, and only that information that characterizes them as professionals. When the employer tries to use its authority outside the employment relationship by asking about the employee's private life or trying to control this private life, we have a violation of the principle of the employee's sphere of autonomy and, therefore, an unacceptable abuse of the employer's authority.
In this age of email and social media, more and more of an employee's personal life is online. However, when dealing with an employer-employee relationship, it is not considered acceptable to ask an employer to provide personal mail or other private information from current or prospective employees.
Under state laws, employees can widely share personal information online while keeping it safe from their employers having access to that information. An employee's life can remain private, that is, confidential to the employer while being public to others if the employee wishes to disclose certain personal information.
US law allows employees to keep their personal information from employers confidential, including information shared on social networks. In addition, a number of US regulations allow employees to protect their online activity from employers as confidential information, as well as the privacy of employees' financial information.
Actual issues of combating crimes in the financial sphere
Authors: Komarnytska І. 
Published: June 2023

The article analyzes the issue of combating crimes in the financial sphere, establishes the essence of financial responsibility as an institution of financial law. The establishment of Ukraine as a state governed by the rule of law provides for the limitation of various forms of illegal behavior of subjects in the financial sphere and their administrative responsibility. This type of crime poses a significant threat to social relations, as it involves systematic encroachment on financial resources, which mostly ensure the stable, managed, orderly existence of people's lives in society.
The concept of responsibility as a category of administrative law was considered and it was established that this concept is a much broader phenomenon, because, in addition to measures of legal responsibility, financial responsibility also includes measures of prevention, termination and recovery.
The article also highlights the ideas that position the consideration of combating crimes in the financial sphere as a type of administrative responsibility. The issue of combating crimes in the financial sphere, as an important phenomenon for Ukrainian society, is highlighted.
The financial component in the economic system of the state plays a significant role. Finance has turned from a mechanism into a driving force of the economy. At the same time, there are trends towards an increase in the number of illegal encroachments in the financial sphere. Today, financial crimes are characterized by a high level of latency. This indicates the development of financial crime, as a result of which the country's economy is damaged, which prevents the state from effectively implementing its functions and creating conditions for the development of society and the existence and reproduction of the economy.
The nature of crime in the financial sphere makes it difficult to detect and prevent crimes. And if detection and disclosure of crimes in the financial sphere is relatively active, then less attention is paid to prevention issues. Although it is easier to prevent a crime than to detect, disclose, investigate and compensate for the damages caused by this crime. At the same time, crime prevention in the financial sphere is a priority area in the work of law enforcement agencies.
However, despite the wide range of measures taken by the authorities to prevent offenses in this area, it is too early to say that the state has succeeded in everything. All this conditions the study of a wide range of issues of combating offenses in the financial sphere.
Administrative and legal regulation of forms and means of public control over the activities of judges
Authors: Tkachenko І. 
Published: June 2023

In order to achieve the goal of the research, the article plans to carry out the following research tasks: clarifying the essence of public control over the activities of judges in Ukraine, identifying its most effective forms and means.
As a result of the study, it was established that public control over the activities of judges is a legally defined activity of members of the public aimed at checking (observation, supervision) the legality of judicial proceedings by judges, taking into account the principles of taking into account public opinion in the formation of the judicial body, transparency and openness of the judicial process, accessibility of citizens to the judicial process, openness and accessibility to court decisions.
The most effective forms and means of public control over the activities of judges in Ukraine are singled out, namely: 1) implementation of public control at the stage of selection for the position of a judge, which includes monitoring of the judge's lifestyle, which is carried out in order to establish the conformity of the judge's standard of living with that available to him and members his family's property and the income they receive, the judge's lifestyle is monitored in accordance with the law, the declaration of a person applying for the position of a judge is checked; 2) the activities of the public integrity council, which is formed to assist the Higher Qualification Commission of Judges of Ukraine in establishing the compliance of a judge (candidate for the post of judge) with the criteria of professional ethics and integrity for the purposes of qualification evaluation; 3) provision of public information about the court's activities based on the receipt of a request for information about the court's activities; 4) providing the public with public information about the activities of courts in Ukraine, by summarizing such information by analytical units of the State Judicial Administration of Ukraine; 5) granting access to accredited mass media to judicial proceedings on the basis of a court decision; 6) creation and implementation of effective activities in higher specialized courts and appellate courts of full-fledged press services; 7) creation of a contact center at the State Judicial Administration of Ukraine, which should receive and summarize information from citizens regarding the quality of judicial proceedings, compliance by judges with integrity, violations by them and other participants of the principles of judicial proceedings and the judicial process; 8) ensuring the activity of the public council under the Council of Judges of Ukraine.
Financial big data control and intelligent analysis method for investment decision of renewable energy projects
Authors: Li Dongyun 
Published: June 2023

Abstract
With the increasing scarcity of conventional energy and environmental degradation, countries around the world are increasing their investment in renewable energy development. In order to make a scientific investment evaluation of renewable energy projects, this paper examines the analysis and control of their financial data. The intelligent analysis system of financial data is constructed based on OLAP. Logistic regression model and decision tree algorithm model are selected as the operation algorithm of the system to complete the intelligent analysis of data. Combining random forest algorithm and autoregressive moving average model, under the guidance of Bagging idea, the financial status of renewable energy projects after investment is judged in order to achieve the purpose of dynamic control. According to the results of analysis and control of financial data of renewable energy projects, it is known that the correct probability of intelligent analysis of financial data reached 94.5%, 83.1%, and 92.7% for different sample sizes of data sets, respectively. There were significant improvements in the efficiency of capital usage and asset quality, with an increase in capital concentration of 30.42%, an increase in inventory turnover from 10.68% to 13.04%, and an increase in the recovery rate of overdue accounts receivable from 60.31% to 67.83%. It has been proven that the method can help investors to better utilize uncertainty to improve the investment value of project, providing investors with a new way of thinking about decision-making.
Analysis of the dilemma of higher vocational thinking education in China under the background of “Internet+”
Authors: Hu Yanhua , Xu Banghua 
Published: June 2023

Abstract
Network culture is a culture based on computer network information technology. With the popularity of “Internet+”, the influence of network culture on college students’ ideological views, behavioral patterns, value orientations and psychological development is also increasing. While Internet culture brings opportunities to higher education ideological and political education, it also makes education work face serious challenges. This paper proposes a collaborative knowledge graph construction method for Civic Education based on Internet + group intelligence. The core of the method is a continuously running loop that contains 3 activities: free exploration, automatic integration, and active feedback. The experimental results show that the knowledge graph fusion algorithm can effectively utilize the structural information of the knowledge graph as well as the semantic information of the nodes to form a high-quality knowledge graph fusion scheme. The collaborative approach based on the “explore-fusion-feedback” loop can improve the scale of group construction of knowledge graphs and the efficiency of individual construction of knowledge graphs, and exhibit better scalability of group scale.
Green supply chain innovation management strategy based on the combination of low carbon economy and e-commerce with big data technology
Authors: Liu Ling 
Published: June 2023

Abstract
In recent years, cloud computing, Internet of Things, mobile Internet and other emerging technologies have emerged and developed continuously, prompting various kinds of data to gradually show an explosive growth trend, and the resulting impact has penetrated into all levels of industry, scientific research, education, family and society, which marks that mankind has entered the era of big data comprehensively. At the same time, with the arrival of the era of big data, the concept of decarbonizing and greening of the supply chain is deeply rooted in the hearts of people, and it has become an inevitable trend for enterprises to promote the development and innovation of green supply chain. The supply chain of e-commerce is inseparable from big data technology. This paper intends to effectively combine low carbon economy and e-commerce from the perspective of big data-based application, and explore the green supply chain innovation management strategy based on the combination of low carbon economy and e-commerce under big data technology, so as to effectively promote the innovation and development of green supply chain management strategy in the era of low carbon economy.
Títul Research on Wireless Network Coverage for Transformation and Upgrading of Exhibition Management with Artificial Intelligence Technology
Authors: Dou Peilin , Zheng Guohua 
Published: June 2023

Abstract
The rapid development of artificial intelligence and modern communication technology provides a powerful opportunity to realize the transformation, upgrading and high-quality development of exhibition management. To solve the optimal coverage problem of wireless network in the exhibition area, a new generation of artificial intelligence algorithm is introduced to propose a novel method for solving the network coverage problem based on Harris Hawk optimization (HHO) algorithm. From the perspective of maximizing coverage and minimizing coverage redundancy, the multi-objective coverage optimization problem of wireless network nodes is optimally extracted into a function and solved using the improved HHO (IHHO) algorithm. Through the simulation of the wireless network coverage in the exhibition area, the experimental results show that the comprehensive evaluation index score of the optimization algorithm reaches 98.03%, which is higher than the traditional particle swarm optimizer (PSO) and the standard HHO. The proposed IHHO algorithm can be effectively applied to the network coverage problem and has a greater advantage over the traditional optimization methods in terms of improving node coverage, and has great practicality.
Research on the close-range photogrammetry accuracy of 3D digital interactive platform of Hunan intangible cultural heritage
Authors: Xia HuiZhong , Wang Wei 
Published: June 2023

Abstract
This paper designed a three-dimensional digital interactive platform, which takes power supply module, image data acquisition module, control module, data transmission module and ESAM module as the main hardware and makes it feasible to realize power supply transmission, multiple data acquisition, platform process control, data transmission, data encryption and decryption, and identity authentication. Then, through relative orientation element calculation, model point coordinate calculation, relative orientation model proportion coefficient calculation, relative orientation model deformation accuracy calculation, and relative orientation accuracy calculation, this paper realized the relative control of close-range photogrammetry, improving the accuracy of close-range photogrammetry. The results show that the relative control method of close-range photogrammetry studied in this paper can increase the relative accuracy from 319 to 769 and improve the average value of the relative orientation model deformation accuracy from 0.4282 to 0.5938. In addition, in performance analysis, the response time of the platform is 0.32s, the accuracy of close-range photogrammetry is 96.3%, and the comprehensiveness of data detection is 94.37%. Therefore, it is concluded that using the method proposed in this paper, the relative orientation model deformation accuracy is increased, the accuracy of close-range photogrammetry is the highest, and the data detection is more comprehensive.
Research on university laboratory network security based on Cloud Computing
Authors: Li Dan 
Published: June 2023

Abstract
As information technology increasingly develops, cloud computing has become an emerging computer network technology, which brings great convenience to network life. In order to ensure network security while fully enjoying this convenience, this paper established the laboratory cloud platform and network topology using the single node deployment mode of Openstack, obtained the software system architecture by applying B/S three-tier architecture model for laboratory development, and finally constructed cloud computing system of the laboratory by integrating encryption technology, digital signature technology, fingerprint recognition technology and dynamic password technology. After functionality, security and performance tests of the laboratory cloud platform, the application effect indicates that, some functional modules of the platform are in line with the desired results, the operation success rate is up to 100%, a 64G server can assume the operation of about 22 virtual machines, the number of server receiving and processing reaches 33 per second, and the throughput climbs up to 980,000 bytes per second. Therefore, it is concluded that with the support of cloud computing, the laboratory basically meets the desired use demand, which can effectively intercept unauthorized operation instructions, and get good carrying capacity and load capacity while strengthening network security.
Research on personalized Japanese language teaching model based on big data technology
Authors: Huang Huaigu 
Published: June 2023

Abstract
In order to better improve students’ Japanese language performance and help them progress, this paper proposes an analysis of personalized Japanese language teaching in a big data technology environment. We build a model of learner characteristics and use collaborative filtering techniques to push learning information from learners with the same or similar interest and preference characteristics. Adjust teaching strategies based on visual user information in the information panel. Build a personalized teaching model based on big data, extract and visualize the data of each student’s learning behavior, find out the gap between the teaching objectives and the preset ones, and record the students’ learning methods. Based on data to dynamically update the teaching content, assign the most appropriate learning tasks, determine the distance of teaching objectives, and improve students’ learning ability and learning effectiveness. Through inductive learning inference on the training dataset, the probabilities of all subsets are calculated, the relevant data subset intervals are merged, and the business sensitivity index is introduced to measure the whole source, which makes the improved decision tree gradually reduce the uncertainty of the division and decrease the weight degree of the attributes, which makes the personalized Japanese teaching better. The analysis results showed that the improved decision tree model reached 71% accuracy in 80 cases and stayed above 73% afterwards, and the ratio of students’ mastered knowledge to the number of knowledges learned was 0.4. Personalized Japanese language teaching under this method led to a significant improvement in students’ performance.
Strategy for financing mode optimization in international trade supply chain based on deep learning model
Authors: Liu Qi 
Published: June 2023

Abstract
With the development of economy and the advance of society, the quality of life of the masses has been improved to a certain extent. Meanwhile, new approaches have emerged in the financial industry, such as the supply chain mode. This paper modeled the coupling relationship of financial markets based on deep learning model and proposed the supply chain financing strategy of financial markets in different countries. The experimental results show that when the minimum value of supply chain finance is 0.5577, the loss risk has not reached the boundary of the effectiveness of the risk control standard. Therefore, this paper aims to systematically analyze the financing mode of international trade supply chain, comprehensively perfect the international trade governance mode, and thus realize the freedom of trade, and at the same time, provide new ideas for enterprises' financing difficulties, and probe into the ways of supply chain financing mode in improving enterprises' financing difficulties, so as to help solve the financing difficulties of a large number of enterprises and optimize the financing strategy of international trade.
A multidimensional interpretation analysis of Marxism globalization theory based on distributed Internet
Authors: Yang Huan 
Published: June 2023

Abstract
In the environment of increasing pace of globalization and informatization, the distributed internet has effectively mobilized people from all countries to participate in the discussion of Marxist theory, which makes Marxist theory enriched in a decentralized, multi-node manner for the first time under the wave of globalization. Although the modern emerging distributed internet is faster and more rapid than the traditional information media methods, its accuracy is subject to a greater impact. In this paper, we collect the information of text-video web pages through a crawler program, and after filtering through artificial intelligence retrieval technology to obtain the Marxist globalization theory and extract key information points, and delete irrelevant information. Then K-means clustering algorithm is used to cluster the information collected in the distributed internet to obtain the multidimensional interpretation of Marxist’s globalization theory. This method has been proved to be effective through a large number of experiments. The existing distributed internet has a large amount of data that can be used to train artificial intelligence and has good practical conditions. This method helps Marxists to make better use of information from multiple nodes. The theoretical perspectives of working people from various countries are constantly gathered and pushed forward while saving a lot of manpower, so that Marxism can be better adapted to the rapidly developing globalized society.
Research on China’s tourism marketing model in the data perspective: based on ecological perspective
Authors: Liu Yi , Gao Jia , Yu Hailong 
Published: June 2023

Abstract
With the continuous improvement of technology and residents’ living standards. Should actively adapt to the opportunities and challenges brought by the Internet to the tourism marketing model, For the sustainable and rapid development of tourism on the wings of takeoff. In this paper, based on a brief explanation of the basic theory of database marketing, to achieve sustainable development of tourism marketing. Adopted the development of ecotourism boutique routes, Implementing multi-faceted marketing channels and means. Improvement of ecotourism infrastructure and service levels and other development measures. Create a tourism marketing model that responds to the trend of the times. Innovative marketing with big data technology can greatly stimulate the tourist crowd. Two times more efficient with dual cores. Get 56 times the execution efficiency with 64 cores. Get the efficiency of linear growth. The most direct way to increase the share of tourism companies in the consumer market. Maximize the value of marketing economic inputs and outputs. The results show that the improved PSO algorithm is more effective in database stability and dispersion. This makes it important for tourism marketing.