bluuebunny/crossref_metadata_2025 huggingface dataset:
Challenges Facing Soes and Soe Subsidiaries Toward Business Tranformation Law Enforcement and Human Rights Protection (Post Constitutional Court Decision Number 01/PHPU-PRES/XVII/2019)
Authors: Binsar Jon Vic S
Published: May 2023

Business transformation, law enforcement and human rights protection are strategic and or universal issues that applies to countries and nations in the world including and in particular become a challenge and dilemma for SOEs and or SOE’s Subsidiaries. The research aims to know how do State-Owned Enterprises/SOE subsidiaries anticipate and business transformation the threat of corporate criminal acts related to law enforcement and human rights protection and  to know business transformation law enforcement officers and relevant institutions anticipate post Decision of the Constitutional Court Number 01/PHPU-PRES/XVII 2019 towards SOEs/SOES subsidiaries. The method used of this research is normative juridical legal research. The result shows that SOEs/SOE subsidiaries have a central role in supporting for business transformation and law enforcement and protection of human rights both internal and external matters of the corporation. Post Constitutional Court’s Decision Number 01/PHPU-PRES/XVII/2019 becomes a legal source that can inspire Law Enforcement Officials and related institutions/agencies to make appropriate adjustments to laws and regulations governing SOEs and or SOE subsidiaries.
Development of E-Learning Method as a Digital-Based Legal Information Medium in the Development of National Law
Authors: I Made Aditya Mantara Putra  , Gede Agung Wirawan Nusantara  , Hartini Sarifan
Published: May 2023

The paradigm shift in Legal Education in Indonesia is currently being felt by academics, practitioners, students and the public, namely the technology-based learning pattern. As previously known, the pattern of learning in Indonesia is still done conventionally and conventionally on reading literacy. However, under current conditions, academics, practitioners and the public in Indonesia are expected to be able to adapt to current technological developments. The aims research to know how is the application of technology and information in providing information and legal education to the younger generation and society and  to know how will the e-learning development model as a digital-based forum and source of legal information contribute to increasing public knowledge and legal awareness in the future development of national law. The research method used in this study is the normative legal method. obtained are by developing digital-based e-learning which is expected to be able to help the younger generation and the Indonesian people to understand and be aware of existing laws. In addition, the development of e-learning methods can be used as a forum for the presentation of digital-based legal information and provide a space for the community to search, research, analyze and share information effectively and efficiently. The public will quickly receive ideas and information about the law and the educational process that needs to be developed, and  quality human resources in print who understand the existing laws and are able to use the technology necessary to compete in the current and future era of globalization.
Acts against Civil Law versus Acts Against Criminal Law Versus Rechtsvinding HogeRaad/Supreme Court Judge
Authors: Youngky Fernando
Published: May 2023

An unlawful act in Dutch is called "onrechmatige daad," and in English, it is called "tort," which means "wrong" (wrong). the word "tort" develops to mean civil "mistake," which does not come from "default." So it is similar to the meaning of "unlawful act," which is called "onrechmatigedaad" in the Dutch legal system. The word "tort" comes from the Latin word "torquere" or "tortus" in language French, like the word "wrong" comes from the French word "wrung," which means "mistake or loss" (injury). The aim research is to know the challenges facing soes and soe subsidiaries toward business tranformation law enforcement and human rights protection (Post Constitutional Court Decision Number 01/PHPU-PRES/XVII/2019).This research is a normative legal research. The type of this research is a Normative Legal Research. The result shows  that Memorie van Toelichting Wetboek van Strafrecht voor Nederlandsch -Indie(WVSNI) WederrechTelijkheid was not found. What is meant by the word "law" in the phrase "Against the Law". If referring to the Postulate Contra Legem facit qui id facit quod lex prohibit; in fraudem vero qui, salvis verbis legis, sententiam ejus circumuenit. A person is declared unlawful when the act committed is an act prohibited by law. One of the main elements of a criminal act that is objective is against the law. The Legality Principle of Article 1 paragraph (1) of the Criminal Code. In Dutch, "against the law" is wederrechtelijk (weder: against, against; recht: law). In determining whether an act can be punished, the legislator makes unlawful behavior a written element.
Auction Procedures for Collateral Goods Owned by Pegadaian Customers (Case Study at Pt Pegadaian (Persero) Branch Mengwi)
Authors: I Dewa Putu Andre Wiratama  , I Nyoman Putu Budiartha  , Nengah Renaya
Published: May 2023

The implementation of a sustainable economy will require a lot of funds, and credit institutions such as PT. Pegadaian (Persero) Mengwi Branch can provide a lot of these funds. This institution mainly conducts credit based on mortgage law, which makes it easier for borrowers without creating new problems for them after they provide loans. The problem: What is the procedure for carrying out an auction for collateral at PT. Pegadaian (Persero) Mengwi Branch? And what is the responsibility of PT. Pegadaian (persero) Mengwi Branch for loss or damage to collateral? This study uses empirical research methods. The results of this study indicate that the discussion of PT. Pegadaian (persero) Mengwi Branch gives absolute rights to customers in the event of an auction for collateral items, and PT. loss when the collateral is under the supervision of PT. Pegadaian (persero) Mengwi Branch. But if PT. Pegadaian (persero) Mengwi Branch is not responsible for its obligations, then it can be subject to administrative sanctions as stated in Article 60 UUPK.
Journal metrics as predictors of Research Excellence Framework 2021 results: Comparison of impact factor quartiles and Finnish expert-ratings
Authors: Pölönen Janne , Guns Raf , Engels Tim C. E.
Published: May 2023

This study compares citation-based and expert-based journal metrics as predictors of peer-assessed research quality based on 154,826 journal articles submitted to UK’s Research Excellence Framework (REF) 2021. The Finnish expert-based Julkaisufoorumi (JUFO) level ratings of journals determined by expert-panels per field produce scores that correlate more strongly with REF scores than those based on citation-based Journal Impact Factor (JIF) or Journal Citation Indicator (JCI) Quartiles. This holds true at aggregate levels of 34 Subject areas, 157 Higher Education Institutions (HEI), and 1,888 Units of Assessment (UoA). Especially non-field-normalised JIF-based scores correlate poorly with REF scores. All types of journal metrics are more aligned with expert-based REF scores at the highest aggregate level of HEIs and agree less at the lower aggregate level of UoAs and Subject areas.
Can tweets predict article retractions?
Authors: Zheng Er-Te , Fu Hui-Zhen , Fang Zhichao
Published: May 2023

This study explores the potential of using tweets to predict article retractions, by analyzing the Twitter mention data of retracted articles as the treatment group and unretracted articles that were matched as a control group. The results show that tweets could predict article retractions with an accuracy of 57%-60% by machine learning models. Sentiment analysis is not effective in predicting article retractions. The study sheds light on a novel method of detecting scientific misconduct in the early stage.
Broadening the conception of ‘what counts’ – example of a narrative CV in a university alliance
Authors: Pietilä Maria , Kekäle Jouni , Rintamäki Katri
Published: May 2023

Research(er) assessment is currently under reform. For example, the CoARA initiative aims at building critical mass to change assessment systems to lean more on qualitative assessment instead of metrics. There are also articulated needs to recognise the diversification of academic careers and contributions in academic work. For example, despite the aims towards Open Science, assessment systems rarely take researchers’ contributions in Open Science into account. This paper is about a practical approach, which aims at helping universities to broaden the ways researchers are assessed, for example for the purposes of academic recruitment. It presents a narrative CV template covering diverse aspects of academic work. The paper is based on the work conducted in YUFERING, a joint project by the European university alliance YUFE.
Four archetypes of Open Science Partnerships: Connecting aims and means in open research collaborations
Authors: Norn Maria-Theresa , Pujol Priego Laia , Ramos-Vielba Irene , Ryan Thomas
Published: May 2023

A growing number of Open Science Partnerships (OSPs) have emerged around the world. These are precompetitive public-private research partnerships that adhere to principles of open science, which includes putting the research outputs into the public domain and precluding participants from seeking Intellectual Property (IP) rights protection on these outputs. Despite the growing interest in OSPs, they have been the subject of limited scholarly attention. To remedy this situation, we examine the similarities and differences of OSPs. Based on a comparative, qualitative study of five OSPs in biomedicine, we propose two crucial dimensions in OSP design - research aims of the partnership and degree of industry orientation - as the basis for four archetypes of OSPs. These archetypes are intended to provide a starting point for further research and for practitioners wishing to ensure that means applied match the desired ends that motivated the OSP.
Funding projects for Spanish public universities in research, development, and innovation related areas: Implications for resource allocation and scientific investment
Authors: Choji Thamyres T. , Moral-Munoz Jose A. , Cobo Manuel Jesús
Published: May 2023

This contribution examines the potential of integrating Science of Science, data analytics, and policy analysis to acquire insight into the scientific landscape of a country and guide the strategic allocation of government resources. We analyse 18,423 Spanish funding projects related to research, development, and innovation, specifically in public universities. The performance analysis was based on granted projects, budget, paper production and the relative specialisation index. The findings show that Chemical Sciences and Technologies and Biomedicine receive the highest number of projects, budget and have high production rates, while Computer-based Technologies also showed high production, although does not receive as much funding. In contrast, Gender and Women studies demonstrate low research output and investment. Our analysis contributes to the effective management of resources aiming to detect strengths and weaknesses points and further improving the quality and equality of science in Spain.
Is there relationship between cultural-economic indicators and the scientific status of countries? Analysis of Western and Central Asian countries using a neural network algorithm
Authors: Noroozi Chakoli Abdolreza , Noroozi Chakoli Sepehr , Chehrenegar Leila
Published: May 2023

In this research, the relationship between cultural, economic, R&D indicators with the position and influence of scientific productions of the group countries of India, Turkey, Iran, Saudi Arabia, and Pakistan in Central and Western Asia has been identified. The time period of conducting is from 2001 to 2020, when the required the data were obtained from UNESCO, Scimago, and JCR, and MATLAB, Excel, and also Feed forward Neural Network Algorithm were used for data analysis. The findings show the R&D indicators, economic indicators, and cultural indicators have played a role in improving the scientific position of this group of countries, respectively.
Editorial gatekeeping up and down the journal hierarchy
Authors: Herman Andrew , Andersen Jens-Peter , Nielsen Mathias Wullum
Published: May 2023

How do journal editors affect what papers and which authors get published? The research presented in the proposed presentation builds on a novel dataset that provides coverage of all journal editors across the full ecosystem of social science journals. This enables the authors to investigate the variation in how editors affect the publication process across the journal hierarchy, and across types of journals. In addition to the unique data, the authors take advantages in the computational social sciences to develop a state-of-the-art methodology for evaluating the role of editors in shaping publications and the evolution of science.
Beyond the Journal Impact Factor: a new approach to characterize the visibility of journals and articles based on percentiles
Authors: Savegnago de Mira Bianca , Martínez-Ávila Daniel , Perianes-Rodriguez Antonio
Published: May 2023

The use of the Journal Impact Factor as an indicator of the quality of individual articles and journals presents limitations. Here, we propose a new approach that combines citation distributions by percentiles, the number and proportion of uncited articles, and the number and proportion of publications below the mean citations in relation to the journal and the field as a method to measure the influence of the publications and their real visibility. We tested it with 10 journals under the Information Science and Library Science category (LIS) of the JCR whose articles were retrieved from OpenAlex for the period 2000-2020 and the results suggest that journals whose graphs present a lower proportion of articles below the mean citation in the category, a lower proportion of uncited documents, and a greater area below the diagonal are those that have more visibility, regardless of the number of publications and their age.
Exploratory analysis of policy document sources in Altmetric.com and Overton
Authors: Murat Biegzat , Noyons Ed , Costas Rodrigo
Published: May 2023

Policy documents are one of the altmetric sources most crucial for comprehending the interaction between science and policy. In policy documents, the source is usually the institution or organization that published the given policy document. In this study we compare the policy document sources indexed by Altmetric.com and Overton. Altmetric.com is an altmetric aggregator that has been around for over a decade. Overton is a newer database aiming at being the most complete collection of international policy documents. Our findings reveal that Overton covered more policy organizations than Altmetric.com, although the overlap in sources is quite small. This low overlap may suggest that both data aggregators may be using slightly different operationalizations of their notion of “policy documents”, which calls for more transparency on what notion of policy documents and policy organizations are considered by them. Regarding policy organizations indexed by both data aggregators, most policy documents are published by government and non-profit organizations. Future research should delve more into the different policy organizations that are being covered in Overton and Altmetric.com, as well as their geographical distribution.
Is corporate science growing or declining?
Authors: Camerani Roberto , Grassano Nicola , Rotolo Daniele
Published: May 2023

The topic of corporate involvement in science has been extensively researched in the innovation literature. However, there is no consensus on whether the trend is on the rise or decline, as various studies have reported contradictory findings. This research aims to bridge this gap by analysing the scientific publication activity over time of a large multi-country and multi-sector sample of firms. The findings of the study indicate that corporate science has grown in the period from 2011 to 2015. However, this growth has only been in absolute terms, as the overall growth of publications in science has been greater. The study also found significant variations in corporate science activity across different sectors. It is important to note, however, that the results may be highly sensitive to the methodological choices, which makes it difficult to compare findings from different studies or make definitive conclusions about the phenomenon.
Exploring the evaluation of inter- and transdisciplinary research proposals: Lessons from Dutch research funding reform
Authors: Zuijderwijk Jochem , Kaltenbrunner Wolfgang , Krabbenborg Lotte
Published: May 2023

This paper presents part of the preliminary results of a pilot research project commissioned by the Dutch research funder NWO, aimed at studying the current assessment of interdisciplinary research proposals at NWO and make possible recommendations for improvement based on the international literature. In the presented study a combination of document analysis, semi-structured interviewing and observation was used to study current assessment practices in the context of three different funding calls to which inter- or trans-disciplinary research proposals were submitted. Findings from the three calls were compared to best practices presented in the existing literature and used to make recommendations for possible improvements, reflect on possible barriers for effective reforms, and suggest further research avenues for a larger potential follow-up project.
Do You Cite What You Tweet? Contextualizing the Tweet-Citation Relationship
Authors: Hare Madelaine , MacKnight Keith , Chikezie Mercy , Krause Geoff , Bowman Timothy , Costas Rodrigo , Mongeon Philippe
Published: May 2023

Investigating the context in which researchers engage with social media objects facilitates a greater understanding of their research behaviour. This study shifts analytical focus from the research paper itself to the geographical, socio-topical, and individual dimensions of the Tweeter and the tweeted paper to understand if researchers cite what they tweet. Results show that Tweeters are more likely to cite papers affiliated with their same institution, papers published in journals in which they also have published, and papers in which they hold authorship. It finds that the older the academic age of a Tweeter the less likely they are to cite what they tweet, though there is a positive relationship between citations and the number of papers they have published and references they have accumulated over time. This paper sheds light on the contextual nature of the tweet-citation relationship.
Defining and Assessing Uncertainty in India’s Gross Expenditure on Research and Development (GERD)
Authors: Dewaney Nishant , Basheer Ahmed Chagun Basha
Published: May 2023

Gross Expenditure on Research & Development (GERD) is the most referred to indicator in the S&T policy setup across the world. However, this expenditure is presented in a point estimate format, thus signalling incredible certitude. In this poster, we attempt to define the ways in which the uncertainty in GERD of India manifests itself. These manifestations of uncertainty are of reliability, accessibility, availability, and international comparability. We then go on to assess reliability-associated uncertainty in central and state government’s expenditure on R&D through the proxy of variability in official sources.
How networked are Medical Schools? Evidence from Portugal
Authors: Ernesto Lígia , Damásio Bruno , Mendonça Sandro
Published: May 2023

Institutional collaboration between universities and other actors is crucial to generate new knowledge and for advancing innovation. But, how important is this for the healthcare sector? This work analyses 441 institutional collaborations between Portuguese Medical Schools and other entities (pharmaceutical industry, funding organisations, hospitals, other universities, non-profit organisations, other private for-profit organisations, public bodies and public research organisations). We identify, validate, disambiguate, classify and analyse evidence available from a variety of sources. Our original database reveals that most of the partnerships of Portuguese Medical Schools are with academic institutions. A sectoral failure regarding partnerships with other type of actors (e.g. industry, other research organisations) is suggested. As for future policy objectives, we argue that a systems building view could be considered.
How can altmetrics improve the Public Communication of Science and Technology? An analysis on universities and altmetrics
Authors: Aguiar Cibele , Salles-Filho Sergio , Spatti Ana Carolina , Esteves Fernandes Pinto Karen , Parreiras Pereira Sérgio
Published: May 2023

In current research evaluation models, monitoring and impact evaluation are extended beyond peer-reviewed articles to include Public Communication of Science and Technology activities. Through an online survey, we analyzed the perceptions of relevance and degree of application of the altmetric indicators for the PCST of 51 sampled Brazilian federal universities. Perceptions of relevance and application of altmetrics proved to be an outlier in 26 indicators. 66.7% of respondents said they did not know the relevance of altmetrics for the PCST or considered it not applicable to the field. Regarding the perception of relevance, the indicator “Mentions tracked by altmetrics” received high relevance scores (7 and 9) from 21.5% of respondents. The indicator was also the least applied, with only one university (1.9%) using it. In addition, 45% of respondents reported having no intention of applying it, 41.1% intend to apply it in the long term, and 11.7% in the short term.
Leadership and international scientific collaboration in COVID-19 research: bridging the North-South divide?
Authors: Albuquerque Priscila , Carvalho Danilo , Lopes Felipe Lucas , Zicker Fabio , Fonseca Bruna
Published: May 2023

The COVID-19 pandemic triggered unprecedented scientific efforts worldwide and launched several initiatives to promote international cooperation. Because international scientific collaborations between high-income countries (HICs) and low- and middle-income countries (LMICs) are not always balanced, analyzing research leadership helps to understand the global dynamics of knowledge production during COVID-19. In this study, we focused on HIC-LMIC collaborations on COVID-19 research in 469,937 scientific publications during the first two years of the pandemic (2020-2021). Co-authorship and authors' affiliation were used to identify international collaborations, according to country income level. The leadership analysis considered the countries of the first and last authors. The results show that i) most publications with international collaborations (49.3%) involved researchers from HICs and LMICs; ii) collaborative research between HICs and LMICs addressed relevant public health needs; iii) most HIC-LMIC publications (44%) had shared leadership, with research interests linked to national expertise and global interests.
IMPACTOS DO ISOLAMENTO SOCIAL NO ENSINO DE CIÊNCIAS: UM OLHAR PARA A EXPERIMENTAÇÃO EM TEMPOS DE CORONAVÍRUS
Authors: Silva Andressa Tavares , Gonzaga Kézia Ribeiro , Martins André Rosa
Published: May 2023

O presente estudo se propõe a investigar o impacto do isolamento social nas práticas de ensino de professores de ciências, sobretudo, em suas aulas experimentais. Tendo em vista que a experimentação amplia a capacidade de aprendizado do estudante, através de estratégias que melhoram a sua motivação, interesse e construção do próprio conhecimento. No atual contexto, o ambiente de aprendizagem experimental precisa ser repensado, tendo em questão o estudante que está isolado em casa, com poucos recursos e sem acesso ao laboratório de análises ou ambiente de aprendizagem comum. Portanto, utilizou-se uma pesquisa de campo, através da aplicação de questionários via google forms para 33 professores de ciências que ministram aulas experimentais. Os resultados obtidos apontaram que 90,9% dos professores não adaptaram seus planos de aulas experimentais para a realidade do ensino à distância, 51,5% se sentem despreparados para conduzir experimentações em laboratórios virtuais e 78,8% dos pesquisados não tiveram formação continuada voltada para as Tecnologias de Informação e Comunicação no contexto do ensino de ciências. Os resultados alcançados denunciam a urgência na formação continuada de professores para o uso de tecnologias atrelados ao ensino, o despreparo das gestões e coordenações em promover alternativas para a continuidade de aulas experimentais à distância e a relevância de estudos como este, ampliando o debate e provocando visibilidade para o contexto atual do ensino brasileiro em meio à pandemia por Covid-19 e o futuro da educação, que por sua vez, mostra-se cada vez mais dependente do contexto virtual, não apenas para prováveis futuros cenários de isolamento, mas sobretudo; para as demandas do presente, refletindo na qualidade do ensino.
A FORMAÇÃO DA PERSONALIDADE DOCENTE NA PERSPECTIVA HISTÓRICO-CULTURAL
Authors: Santos Giszelia Oliveira dos , Melo Celany Teixeira de , Pinheiro Daniella Oliveira , Da Silva Albanisa Pereira
Published: May 2023

Este artigo tem o objetivo de analisar como a personalidade do professor vem sendo formada e quais as consequências do seu trabalho para esse processo. Nossa proposta é compreender como ocorreu e ocorre a formação da personalidade do professor e como seu trabalho implica na formação da personalidade observando como este professor reage diante das situações que alienam seu próprio trabalho, Trata-se de um relato de experiência de pesquisa realizado professoras da educação básica no sentido de mostrar qual a visão dessas profissionais com relação a formação da sua personalidade. Como referencial teórico nos baseamos nas ideias de Goldenberg (2009), Manzinni (1991) e Martins (2007) e outros autores que versam sobre a formação da personalidade docente. Nossa abordagem metodológica é centrada em uma pesquisa qualitativa, realizada com duas professoras da educação básica da rede pública e privada do município de Campina Grande-PB, onde foram aplicadas entrevistas semi-estruturadas para compreender a percepção de cada uma sobre o tema em questão.
Superamigos e as três dimensões do espetáculo de caridade
Authors: Da Silva Marcelo Travassos
Published: May 2023

Superamigos é o nome de um grupo de personagens ficcionais criados nos estados Unidos pela editora DC Comics para consumo em várias mídias. São muitas vozes representadas nas páginas do gibi que fazem referências a problemas sociais reais, superando a ideia de que se trata apenas de uma equipe criada para o entretenimento. O principal objetivo deste artigo é interpretar criticamente as dimensões proposta pelo linguista Norman Fairclough na narrativa selecionada. Como metodologia a seleção de quadros estáticos e sequências recortadas da própria revista, destacando texto, prática discursiva e prática social. A partir disso, este trabalho traz como resultado um novo ponto de vista sobre esse gênero textual, associando linguagem, comunicação e ideologia. Dentro disso, a conclusão de que a ficção com Superman, Batman, Mulher Maravilha, Aquaman e Robin se mistura com a realidade na televisão e nos gibis, caracterizando-os como personagens transmídia, que podem dialogar com a problemas sociais do Brasil e outros países. Através desse tipo de leitura, várias questões podem ser pensadas e discutidas a partir desse tipo de produto, pertencente a cultura de massa.
The Benefit of Mindfulness Meditation
Authors: Zhang Jiayi
Published: May 2023

Unlike past psychological studies, which mainly concerned experimental ones such as behavior and nervous system, current research involves more traits related to attention and awareness. Hence, thanks to the growing concern for people’s mental health in modern society, the concept, “mindfulness” has gained ever-increasing impotence naturally as it could cultivate my awareness and benefit my both mental and mutual health.
Is It a Human Instinct to Seek Procedural Justice? Answers from Evolutionary Psychology
Authors: Wang Simin
Published: May 2023

Procedural justice is one of the foundational principles of modern social governance. The different views of the academic circles on its origin have become "innate" and " acquired" schools. However, the division between these two camps has hindered the practical application of procedural justice in governance. The debate between the two camps centers on the question of whether people's inclination towards procedural justice is innate or acquired. What role does social indoctrination play in the formation of procedural justice? Research from developmental psychology has found that humans are born with a predisposition to procedural justice, which evolves and matures with age and cognitive level.
Study on characteristic maps of multi-spectral remote sensing images of geological hazards
Authors: Liu Hui , Zhang Yang , Jia Ran , Zhou Chao , Shen Hao
Published: May 2023

Geological disasters, as the main problems facing urban construction and development, directly threaten the life and property of social residents and living environment, with sudden, wide distribution, destruction and other characteristics. Nowadays, the traditional ground monitoring technology has been unable to meet the needs of geological disaster monitoring research in the new era. Therefore, on the basis of mastering the traditional monitoring experience, scholars from various countries put forward the use of multi-spectral remote sensing image data to obtain the data information of geological disasters in various regions, study the main causes and distribution rules of geological disasters, and put forward effective prediction models and solutions as soon as possible. On the basis of understanding the current situation of geological disaster monitoring and prevention work in China, this paper uses multi-source remote sensing image fusion technology to deeply study the multi-spectral remote sensing image feature map of geological disaster and clarify the relationship between different types of remote sensing image features, so as to provide effective basis for earthquake disaster monitoring and prevention work.
Analysis of application of network time synchronization technology in plant and station automation system
Authors: Li Xiang , Wang Yiqun , Huang Lingyu , Bao Sheng
Published: May 2023

As the inevitable result of the development of social economy and science and technology, the construction of plant and station automation system not only solves the problems existing in the traditional plant and station construction management, but also improves the fundamental requirements of the system operation. According to the accumulated experience in the construction and application of plant and station automation system in recent years, the scholars of various countries should not only ensure the accuracy and high precision of time measurement, but also scientifically control the complexity of application algorithm to reduce the amount of electric energy consumption. Therefore, on the basis of understanding the research status of plant and station automation system and network time synchronization technology, this paper mainly explores how to apply network time synchronization technology in plant and station automation system according to the structure of plant and station automation system and the key points of network time synchronization technology.
The Impact of Digital Economy on the High-Quality Development of Manufacturing Industry -- An Empirical Study Based on 277 Cities in China
Authors: Wang Yiru
Published: May 2023

The digital economy has contributed to new growth points in the high-quality development of industrial manufacturing in the context of the swift advancement of information technology. It has emerged as the primary force behind contemporary high-quality economic development. This study builds a mediation effect model for regression analysis using panel data from 277 prefecture-level cities in the nation from 2006 to 2019. It uses the urbanization rate as the mediating variable. It then examines the path mechanism for the impact on developing the digital economy and high-quality manufacturing. The empirical results show that the digital economy significantly promotes the high-quality development of China's manufacturing industry. At the same time, the digital economy can promote the high-quality development of China's manufacturing industry by increasing the urbanization rate. For different levels of cities in China, the urbanization rate has different effects on the high-quality development of the manufacturing industry. Therefore, government departments and manufacturing enterprises need to increase their investment in science and technology to enhance the digital level of intelligent manufacturing in the manufacturing service industry to form a two-way integration and coordinated development of science and technology and the real economy.
Internet Use, Risk Attitude and Willingness for Individual Entrepreneurship
Authors: Feng Jingjie
Published: May 2023

Based on the sample data of CGSS2015 questionnaire, this paper empirically analyzes the impact mechanism of Internet use on individual entrepreneurial willingness using the Oprobit model. The research found that: Internet use is significantly positively correlated with individual entrepreneurial intention; Risk attitude has indirect influence between Internet use and individual entrepreneurial intention; In addition, the age, gender and income of individuals are significantly related to their entrepreneurial intentions, and the relationship between age and their entrepreneurial intentions is an inverted U-shaped relationship.Therefore, it is necessary to strengthen the construction of Internet infrastructure, maintain the entrepreneurial information service platform, cultivate the innovative consciousness and adventurous spirit of potential entrepreneurs, further tap the entrepreneurial potential of individuals, and enhance their entrepreneurial willingness.
Research on Media resource recommendation System and recommendation Technology based on Graph Neural network
Authors: Sun Huayao
Published: May 2023

In the field of artificial intelligence research, personalized recommendation technology has been rapidly developed. It can not only provide effective recommendation according to the preferences of system users, but also sort out the historical behavior and attribute information of users, and accurately calculate the content of user preferences. From the perspective of the development of the new media industry, in order to better meet the resource needs of system users, a resource recommendation system based on personalized recommendation technology can fully meet their needs for media reading. Therefore, on the basis of understanding the current research status of media resource recommendation system and technology, and according to the basic concept of graph neural network and the main structure of recommendation system, this paper mainly studies the application effect of the recommendation model of outburst neural network that integrates knowledge graph and time weight, so as to provide effective basis for media resource recommendation in the new era.
Research on the Impact of Industrial Intermediate Inputs on Export Diversification of Chinese Enterprises
Authors: Liu Fudi
Published: May 2023

China has put forward the policy direction of domestic market integration in response to the volatile domestic and international political and economic environment. Meanwhile, enterprise export diversification is becoming the research frontier of the new trade theory (NTT). In order to make research on the factors affecting or determining export diversification in the contemporary context, this paper links the trend of domestic market integration with export diversification, and constructs a fixed-effects regression model using the Chinese industrial-enterprise customs matching database from 2000 to 2007 to study the relationship between industrial intermediate inputs and export diversification and the enterprise heterogeneity effects. According to the empirical results, it shows that the increase of intermediate inputs can promote the export diversification. The results of the heterogeneity analysis show that such kind of effect also varies depending on the differences in firm ownership, firm location, firm trade patterns, and capital intensity. In such a case, in order to complete the industrial upgrading of the domestic value chain and upgrade the export industrial structure under the trend of domestic market integration, it is necessary to pay attention to the liberalization of intermediate goods trade and the improvement of relevant policy conditions.
The impact of margin trading and short selling on the investment efficiency. Evidence from China
Authors: Liu Xuan
Published: May 2023

We use a quasi-natural experiment of the introduction of margin trading and short selling in China. We investigate the impact of margin trading and short selling on the investment efficiency. The results show that margin trading and short selling can improve the investment efficiency of listed firms.The further group regressions show that margin trading and short selling can effectively alleviate over-investment but have no effect on the under-investment problem.
Research on Ambidextrous Innovation and Regional Innovation Capability in Innovation Ecosystem from Institutional Perspective
Authors: Hu Jian , Li Hejia , Sun Jinhua
Published: May 2023

According to the organizational ambidexterity theory, the mechanism of ambidextrous innovation on regional innovation capability in the innovation ecosystem is explored, institutional environment is introduced as a moderating variable, corresponding theoretical models are constructed, and empirical research is carried out by application of a two-way fixed effects model based on the panel data of 31 provinces in China from 2009 to 2018. The results show that there is a u-shaped relationship between exploratory innovation and regional innovation capability in innovation ecosystem, and exploitative innovation in innovation ecosystem has a significant positive impact on regional innovation capability. The complementarity of exploratory innovation and exploitative innovation in innovation ecosystem positively affects regional innovation capability. Furthermore, institutional environment strengthens the positive correlation between exploitative innovation and regional innovation capability. On the basis of the above conclusion, it is proposed that each innovation population should strengthen the exchange and sharing of technology and knowledge, carry out independent collaborative ambidextrous innovation, and the government should play a governance role in the innovation environment in order to promote the improvement of regional innovation capability.
The Mechanism of DIF’s Effect on Economic Growth: Evidence from Seven Countries
Authors: Luo Yawen
Published: May 2023

Digital Financial Inclusion (DIF) gains growing momentum as digitalization accelerates and financial technologies burgeon in recent years. This study finds some causes of DIF's impact on economic growth with multiple linear regression analyses under mediating variables. Based on data from seven global countries from 2011-2021, the empirical result finds that innovation, coverage, literacy, and attitude play essential roles in driving economic growth in DIF, respectively, and cooperatively. Future implications derived from the results are that policymakers should incentivize investments in R&D, network infrastructure, financial education programs, and financial awareness campaigns, enhance consumer protection against malpractice and fraud, and foster trust by strengthening regulations on corporate responsibility.
The Design of the Controlling Cam Optimization Profile in an Automated-Cutoff Valve Based on Ga
Authors: Chi Jun , Xing Mingjie , Xing Junjie , Song Jiatao
Published: May 2023

In order to achieve the controlling performance of automated-cutoff valve, an optimization method of cam profile design is indicated based on GA. The selection conditions in the algorithm are established according to the analysis of mechanical structure after the other parameters are specified. The effectiveness of the optimization algorithm is improved in the sequent test.
Evaluation of Landslide Disaster Mechanism and Control Scheme in Beixi Village
Authors: Jiang Siyi , Chang Liu , Zou Renhui , Li Hailiang , Wu Qiuju
Published: May 2023

Taking beixi village landslide as an example, the cause and mechanism of rain-induced landslide are deeply analyzed. The stability of landslide under natural state and rainfall state is analyzed respectively by using finite element strength reduction method, and the influencing factors of landslide are analyzed and the safety and stability of landslide is evaluated. The results show that :(1) The disaster mechanism of beixi village landslide is due to the strong water permeability of clay layer, and the weathering layer is easy to soften when it meets water, and rainwater infiltration is easy to form weak interlayer, which induces local deformation and finally slides.(2) The landslide of Beixi Village is in a stable state under natural conditions; the landslide was in an basically stable state under saturation condition. (3) According to the plastic cloud map of sliding surface, there is stress concentration in the landslide front, which endangers the lower buildings. It is suggested that slope cutting + gravity retaining wall + drainage engineering prevention and control measures. The formation mechanism of the landslide can provide engineering reference for the disposal and prevention of similar landslides.
Mixed Reality The application strategy exploration of technology in the preventive protection of architectural heritage
Authors: Yang Yuxin
Published: May 2023

Digital, information and other computer technologies are more and more applied to the protection of architectural heritage, Mixed Reality technology with its "spatial consistency of real scene and virtual scene" characteristics, shows a broad application prospect in the preventive protection of architectural heritage. This paper first clarifies the definition of preventive protection of architectural heritage, then sorts out the development path of preventive protection, and finds that new technologies and methods are constantly added to the work of preventive protection. Secondly, the possibility of Mixed Reality technology intervention in preventive protection is discussed, and finally the application strategy of Mixed Reality technology in preventive protection is constructed.
Analysis of gender sentiment expression in network based on TF-LDA algorithm
Authors: Lyu Ai , Liu Chengyu , Ding Zhaoxing , Li Junying , Zhang Wenjun
Published: May 2023

With the popularity of networks, social media has become an important way to spread gender awareness, in which sentiment expressions can especially reflect the development of feminism and public opinion atmosphere. The team took two of the hottest gender-related news events in 2022 and used crawler technology to collect network data of Weibo comments. Then, we used the TF-LDA model combined with the TF-IDF algorithm and LDA topic model, to screen the keywords respectively, then built a new text based on the filtered results, and made sentiment analysis based on the BosonNLP sentiment lexicons.
Application of Data Analytics in Automobile Manufacturing-- Evidence from Existing Literature
Authors: Wang Zihao
Published: May 2023

The auto manufacturing industry is one of the most dynamic business industries and is extremely competitive. Since auto manufacturing is technology-intensive as well as competition-intensive, making data-based decisions has become an important part of the industry to make the right business strategies to achieve competitive advantage. Across the auto manufacturing process, human resources, function sales and marketing, product design, and support services use data analytics to extract useful insights from the immense amount of data on customers, employees, and market trends. However, the use of new technologies in the automotive industry is still not addressed in the automotive industry-based research works of literature. Analysis of the old and growing analytics techniques, this article proposes that applications of more advanced analytics, such as reinforced learning, deep learning, and cognitive learning, will play an important role in the future of the automotive industry to make driverless cars a reality.
Short-term Bus Passenger Flow Forecast Based on CNN-BiLSTM
Authors: Wu Chaohua , Qi Xingzu
Published: May 2023

Effective prediction of urban bus passenger flow is critical for improving urban bus operation efficiency and optimizing the bus network. However, there are some issues with predicting urban bus passenger flow at the moment, such as lack of single eigenvalue consideration and insufficient research depth. In order to improve the short-term prediction accuracy of urban bus passenger flow, this paper proposed a deep learning prediction model that is based on CNN-BiLSTM. Based on historical data of urban bus passenger flow, this paper analyzes the dependence of bus credit card data, clusters the travel feature of different groups of people, and analyzes the dependence of bus passengers. Simultaneously, external factors of passenger flow, such as rainfall, weather condition, traffic flow state, and date, are introduced to build the bus passenger flow prediction feature matrix, and the correlation analysis of the characteristic matrix structure is performed to optimize the matrix structure. Finally, the optimized passenger flow characteristic matrix is fed into the CNN-BiLSTM deep learning model for prediction, and the results are compared to the LSTM, CNN and CNN-LSTM models. The results shown that the root mean square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) of the the CNN-BiLSTM deep learning model are lower than those of other models, and the prediction accuracy is the highest. Meanwhile, this method has a good generalization effect and can improve deep learning prediction accuracy.
Research on the device for measuring the engagement depth of bottom guide of landing door
Authors: Wang Lei
Published: May 2023

A large number of elevator safety accidents occur at the landing door. The bottom guide of landing door has the function of fixing the landing door and guiding. The previous measurement of the engagement depth of the bottom guide of landing door has drawbacks and the measurement accuracy is low. The insufficient engagement depth of the bottom guide of landing door will affect the strength of the landing door.In order to improve the measurement accuracy of the engagement depth of the bottom guide of landing door, this paper proposes a device for measuring the engagement depth of the bottom guide of landing door, analyzes its structure and working principle, and measures the engagement depth of the bottom guide of landing door through direct measurement and indirect measurement.Through the measurement and numerical analysis of the engagement depth of the bottom guide of landing door by the steel tape, inclined feeler gauge and the device for measuring the engagement depth of bottom guide of landing door, it is concluded that the measurement accuracy of the device for measuring the engagement depth of bottom guide of landing door can be improved compared with the steel tape and inclined feeler gauge.