Reviewerly/exHarmony huggingface dataset:
Analysis on Influencing Factors of Financial Risk in China Media Industry Based on Entropy-critic Method and XGBoost

In order to strengthen the government's understanding and control of the current situation of the media industry, it is necessary to evaluate the performance evaluation and financial risk of media companies.Based on this, firstly, by selecting the data of 66 Chinese listed media companies, this paper analyzes the financial performance evaluation indicators of their four abilities, including operating ability, profitability, development ability and solvency.Then combine the traditional evaluation methods with machine learning, and use entropy method and xgboost to quantify and evaluate the comprehensive financial performance and risk of enterprises.The empirical results show that the model can well reflect the financial risk of enterprises.In addition, we can get that the weights that affect the company's financial risk ability are profitability, development ability, solvency and operation ability from large to small.Finally, this paper puts forward relevant suggestions to promote the healthy development of the media industry and optimize the internal financial management.
The Integration of Blockchain and Artificial Intelligence for a Smart City

Smart city can be transformed into a smart society by adopting emerging technologies.This paper provides a comprehensive literature review on the security issues affecting the deployment of smart city blockchain systems.This paper discusses solutions of blockchain security enhancement in detail and summarizes key points that can be used to develop various block-based intelligent management systems.In addition, future research directions are explored, including new security recommendations and future guidelines for sustainable smart city ecosystems.
The Coordinated Development of Internet New Media and Computer Network Technology

Under the background of the development of computer network technology, the new Internet media has developed rapidly in the information age, and penetrated into people's daily life.The new Internet media provides the public with rich and diverse information channels and contents, and also adds entertainment ways on the basis of production and life, involving in all aspects such as clothing, food, housing and transportation.The development of Internet new media is closely related to the improvement of computer network technology.The two complement each other and jointly create a highquality life experience for people.This paper starts with the development status of computer network technology and Internet new media, analyzes the relationship and influence between computer network technology and Internet new media, and discusses the development approach of Internet new media.
A Longitudinal Relationship between Self-Directed Learning Ability, Ego-Resilience and Career Maturity Using Autoregressive Cross-lagged Model

본 연구의 목적은 자기주도학습능력, 자아탄력성, 진로성숙도 간의 인과관계를 종단적으로 검증하고 시간의 변화에 따른 안정성과 상호예측력을 알아보는 데 있다. 이를 위하여 일반계 고등학교에 재학 중인 학생들을 대상으로 2016년부터 2018년까지 실시한 서울교육종단연구(SELS 2010) 7차(고1), 8차(고2) 및 9차(고3) 패널 데이터를 활용하여 자기회귀교차지연모형 검증을 실시하였다. 우선 연구모형을 검증하기 위한 가정인 동일성 제약들은 모두 충족되었다. 연구 결과, 첫째, 시간의 경과에 따라 자기주도학습능력, 자아탄력성, 진로성숙도는 다음 시점의 동일한 잠재변인들에 모두 통계적으로 유의한 정적 영향을 미치면서 안정적인 자기회귀효과를 유지하였다. 자기회귀계수의 상대적 크기는 자기주도학습능력이 가장 높았고, 다음으로 자아탄력성과 진로성숙도는 비슷하게 나타났다. 둘째, 시간의 흐름에 따라 자기주도학습과 진로성숙도의 관계에서 교차지연계수들은 모두 통계적으로 유의한 정적 관계를 보여주었고 인과적 상호예측력이 있음을 나타내고 있다. 또한, 자아탄력성과 진로성숙도의 관계에서도 교차지연효과가 유의한 정적 관계로 인과적 상호예측력을 보여주었다. 그러나 자기주도학습능력과 자아탄력성의 관계에서는, 이전 시점의 자기주도학습능력이 다음 시점의 자아탄력성에 영향을 미치는 교차지연효과는 정적으로 유의하였으나, 이전 시점의 자아탄력성이 다음 시점의 자기주도학습능력에 영향을 미치는 교차지연효과는 유의하게 예측되지 않았다. 이러한 연구 결과에 기초하여 논의하였고 시사점 및 후속연구에 관해 제언하였다.The primary goal of this study was to investigate the longitudinal stability and reciprocal relationship between self-directed learning ability, ego-resilience, and career maturity across time using the Seoul Education Longitudinal Study (SELS) panel data of Time 7 (first year of high school), Time 8 (second year), and Time 9 (third year). The autoregressive cross-lagged model (ARCLM) was employed to examine the autoregressive effects of within-subjects variables and cross-lagged effects of between-subjects variables. Results from the ARCLM revealed that previous self-directed learning ability, ego-resilience, and career maturity had significant effects on subsequent self-directed learning ability, ego-resilience, and career maturity, respectively, with stable autoregressive coefficients. In addition, self-directed learning ability of the first-year high school students predicted subsequent ego-resilience of the second-year students, and self-directed learning ability of the second-year students predicted subsequent ego-resilience of the third-year students, whereas ego-resilience did not significantly predict subsequent self-directed learning ability. Furthermore, the cross-lagged effects of self-directed learning ability in relation to career maturity and ego-resilience in relation to career maturity were statistically significant, indicating reciprocal relationships.
A Study on the Effects of a Supporting Program for Low Achieving Students at University－Centered on Learning-men in K University

The purpose of this study is to suggest the operating case of “Learning-men” as a supporting program for low achieving students of K University in order to objectively verify the effects on both the students’ learning achievement and their core competencies, as well as to provide key implications for the effective operation of a non-subject, educational program for score improvement.&lt;/br&gt;Learning-men promotes learning motivation and student success by providing scholarships to excellent students depending on the degree of their academic improvement and by conducting three-step programs for high-risk learners who are likely to accumulate academic warnings due to their repeated low academic achievement.&lt;/br&gt;This study analyzed the average change in grade average (GPA) and core competencies before and after the students participated in the program by applying a mixed research method using data from a total of 342 Learning-men students, and from interviews based on 10 academic warnings, academic continuity factors, and program participation effects.&lt;/br&gt;Looking at the results of the study, first, both the underachieving students and the self-participating students enrolled in the program who had an academic achievement of (&lt;i&gt;t&lt;/i&gt;=-13.376, &lt;i&gt;p&lt;/i&gt;&lt;.001) and core competencies of (&lt;i&gt;t&lt;/i&gt;=-17.867~-21.305, &lt;i&gt;p&lt;/i&gt;&lt;.001) improved significantly. Second, 39 out of 45 students who were placed on academic probation (86.7%) improved their grades and were released from their probation. Third, through analyzing the qualitative data, we found that the reason why these students received academic probation was due to university environmental and internal factors, and that their motivation to participate in the program was based on external and internal factors. Nevertheless, their motivation to learn in this program, their academic self-efficacy, and their self-directed learning ability improved.&lt;/br&gt;These research results verified that participation in the low academic achievement Support Program can be used as a tool to strengthen college students' academic competencies and core competencies. Based on the results of this study, various systematic operation and effectiveness verification methods for a low academic achievement Support Program were discussed.
A Study on P&amp;ID Symbol Recognition Based on Semi-Supervised Learning

In the plant construction industry, the precise initial recognition of P&ID components and prompt delivery of those components to subsequent processes are critical. Deep learning-based image recognition has proven its ability to efficiently process P&ID and potentially replace manual analysis. Previous studies on symbol recognition have achieved outstanding performance based on supervised learning. They are, however, limited in that they require large amounts of high-quality labeled datasets, and producing those datasets is expensive and takes a considerable amount of time. This causes difficulties in application in the field where P&ID must be analyzed as quickly and precisely as possible within a short bidding time. In this paper, we propose a semi-supervised symbol recognition model based on novel labeling dataset methods. We minimized manual labeling work using Template Matching and advanced fake drawing. By using only 2.5% labeled datasets of standard operations, our model achieved an F1 score of 99.55 in symbol recognition and 99.34 in symbol detection involving 15 random P&IDs, compared to the supervised model’s F1 score of 95.29 and 97.43 respectively. This demonstrates our architecture’s capacity in efficiently addressing the problem of chronic labeling tasks and outperforming existing supervised symbol recognition models.
The Use of Flipchart Learning Media in Improving the Ability to Recognize the Letters of Hijaiyah to Children Aged 4-5 Years at Kindergarten

This article aims to describe the results of research from the use of flipchart learning media in improving the ability to recognize hijaiyah letters for children aged 4-5 years at Primagama Creative Kindergarten Sidoarjo. The approach used is classroom action research with 2 cycle stages, the cycle contains several components that take the model design from Kemmis &amp; Mc.Target whose device consists of four components, namely planning (planning), acting (action), observing (observing), and reflecting (reflection). The results of the pre-cycle score obtained by 40%. In the first cycle the score increased to 60%, and in the second cycle there was an increase of 91%. From the score obtained, each stage of the cycle has increased, which means that the use of flipchart learning media is proven to improve the ability to recognize hijaiyah letters for children aged 4-5 years at Primagama Creative Kindergarten Sidoarjo.
Classification for the analysis of incomplete medical data

Missing data is common in life.The processing of missing data is the key to classification.Therefore, using the existing reliable data set to complete the missing data is a common and necessary method.These methods have an important impact on dealing with the fuzziness and uncertainty in the data set.Therefore, it is necessary and effective to use accurate data and attribution methods to attribute missing data sets.This paper presents a new missing data classification method.Firstly, the center vector representing each class is calculated by using the training samples.The missing values are then estimated using the center of each class.By comparing the performance of three different interpolation methods in different test data sets, the final results show that the proposed method performs best in general.
On the Characteristics of Complex Thinking in Teaching Process and Its Enlightenment

Complexity thinking is a new methodology compared with simplicity thinking, which leads people's thinking to a new field.Looking at the teaching process from the perspective of complex thinking, it is not difficult to find that classroom teaching has been under the control of traditional simple thinking for a long time, which has lost its vitality and suppressed students' creativity and subjectivity.Based on this, this paper starts with explaining the production process, connotation and characteristics of complex thinking, and analyzes the complex characteristics of teaching process, so as to draw enlightenment to the current research of teaching theory.
Thoughts on the Architecture of Talents Training System of Innovate and Entrepreneurship Teaching in Universities

In recent years, China's innovate and entrepreneurship ecosystem has been continuously improved, and the public's awareness of innovate and entrepreneurship has also kept pace with the times, forming a "creative" environment for grassroots entrepreneurship and mass entrepreneurship.Under the influence of the development of the global knowledge economy era, China's socialist market economy is developing with each passing day.In order to strengthen the connotation of innovate and entrepreneurship teaching, this paper makes an in-depth analysis of it, puts forward new requirements for the architecture of talent training system of innovate and entrepreneurship teaching in universities, and improves the innovate and entrepreneurship ability of university students through different innovate and entrepreneurship instructional methods.The normal develop of innovate and entrepreneurship teaching is a strong support for the normal and sustainable develop of university teaching.This paper makes a rational analysis of the implementation of future teaching in universities from a strategic perspective, scientifically defines the connotation of innovate and entrepreneurship teaching, analyzes the bottlenecks that restrict its develop, and formulates a feasible and effective teaching model, which is conducive to the develop and implementation of innovate and entrepreneurship teaching in universities, and promotes the cultivation of students' creative spirit, entrepreneur's awareness and creative and entrepreneur's ability.
Practical Research on SPOC Mixed Teaching Model in Physics Experiment Class for Students with Hearing-impaired

Under the epidemic situation, SPOC mixed teaching model is an important form of higher education for the students with disabilities.This paper introduced the advantages of this model in the classroom teaching of students with hearing-impaired, and took the college physics experiment class as an example to introduce the specific teaching implementation methods.The results showed that SPOC mixed teaching model can well motivate the learning initiative of students hearing-impaired.Also, SPOC model can significantly improve the learning investments of students and the teaching effects of teachers.
Practice and Reflection on the Integration of Family and Country Feelings into the Course of Architecture Recognition and Construction

Taking the overall goal of improving students' "feelings of home and country" as the reverse design, taking the professional course "Architecture Recognition and Construction" as an example, the sub-goals of the ideological and political quality of the course are systematically designed in stages and steps.Integrate the education of "family and national feelings" into professional courses.Taking the course of "Architectural Recognition and Structure" as an example, the five-step system design of "family and country feelings" starts from "setting goals -exploring integration points -determining integration methods -determining teaching methods and teaching methods -designing assessment and evaluation plans".The integrated curriculum implementation path.
Inspiration of Family-Based Immersion Model of Language Acquisition for English Teaching for Young Learners

The trend that an increasing number of young learners start to learn English at a very early age facilitates the diversity of language teaching methods.However, influenced by traditional language learning method, some teachers still focus on language form, not giving full attention to learners' communicative ability.As a result, younger learners keep using pattern drill to practice speaking without sufficient listening as input, which is opposite to the "acquisition" principle and partly explains why young learners fail to learn English as expected.According to the theory of second language acquisition, listening and speaking should come before reading and writing.This is a natural process of acquiring a language.Meanwhile, younger learners are special for they are highly motivated by interest and their attention span is limited.Therefore, language learning for younger learners is supposed to be interesting, practical, and close to their daily life.In accordance with this need, some families adopt the immersion method to help their younger learners acquire the language naturally in daily communication.Since language learning in the classroom shares a common goal with it, this essay is to explore how the immersion method of language acquisition in the family could be used in classroom teaching; what kind of activities can be conducted for that purpose.More inspiration is expected for English teachers to improve their teaching efficiency in the sense that learners can communicate with what they acquired in the class.
Research on the construction of a new experimental teaching mode of “financial management simulation training” under PBL &amp; Micro sitcom

The financial management simulation training course can not only improve the hands-on and brain operation ability of students majoring in financial management, but also provide real work scene simulation for internship and employment.This course organically combines PBL (problem-oriented method) and micro scenario drama method, Build a three-dimensional linkage financial management training teaching mode of "problem guided teaching + scenario simulation + experimental training" under the background of the integration of theory and practice in Application-oriented Colleges and universities, and carry out relevant data processing and effect evaluation through the learning effects of the control group and the experimental group in the course teaching, in order to modify and continuously improve the teaching mode in the future classroom practice.The results show that based on PBL situational simulation teaching method, the comprehensive application ability and teaching satisfaction of students in the observation group are better than those in the control group.It can not only stimulate students' initiative in experimental learning, optimize students' grades, and improve teaching quality and teaching satisfaction.
Library Open Access Funding on the Ground: Workflows for a Successful OA Transition

Library-funded open access publishing support at Iowa State University has been growing and has required finding scalable solutions to processes, incorporating new tools, and developing effective workflows. This article is based on a NC Serials Conference presentation that provided insights into the Library’s approach to managing author participation in open access deals with publishers.
HIGH TECH CYBERCRIME UNIT: A PARTNERSHIP BETWEEN A LOCAL COUNTY AND A UNIVERSITY

Police agencies and prosecuting attorney offices throughout the country are struggling to handle the influx of digital evidence in criminal investigations.In 2016 the University of Notre Dame and St.Joseph County Indiana created a Cyber Crimes Unit that resulted in a significant reduction in the backlog of digital evidence to be examined and shortened turnaround time for forensic examinations to days instead of months.As a result, Indiana State House enacted Enrolled Indiana Code in 2021 that allows the Indiana Prosecuting Attorneys Council to establish high tech crimes units to assist prosecuting attorneys in investigating, collecting evidence, and prosecuting high tech crimes.This article is about one University's journey to becoming one of those ten high tech crime units.
Rethinking the university of the piano teaching model in the Internet era

Under the construction of the new era of socialism, China has entered the high-speed development of Internet technology.As Internet technology has reached a certain level of development, modern social education and Internet technology have started to join together to form a good integration of "Internet + education", which requires our universities in the new era of socialism, especially in piano education, to actively seize the opportunity to upgrade the new education model of "Internet + education" into their construction, and fundamentally improve the quality of education.Colleges and universities should be fully aware that Internet technology provides a rich platform of educational resources for piano education, so they must establish an efficient and rich music learning platform based on information technology.In this way, students can make full use of the advantages of the resources brought by the Internet platform when learning piano professionally and learn the professional knowledge solidly.This paper explores piano major teaching in colleges and universities in the context of such an era of integration of the Internet and education.
A Brief Discussion of Language Organization Techniques for Oral News Commentary

News commentary is an important form of testing students' ability to construct thinking, organize language, knowledge and express content, and it is also an important training method for their analytical, insightful and critical thinking skills.This paper discusses three aspects of improving students' ability to organize the language of commentary: "pointing out the problem and clarifying the logical starting point of commentary; avoiding crude expressions of opinions and forming a distinctive attitude towards commentary; refining sub-arguments from the material and organizing the language of commentary in a targeted way", hoping to serve as a guide to the "news commentary" section in the teaching of "Oral Expression", and also provide a guide to the "skill" for students learning news commentary.
A Cognitive Study on the Categorization and Translation of Chinese Synonymous Double Classifier Constructions

Based on BCC corpus, with the help of Collostructional Analysis and Fisher Exact Test, this study calculates and analyzes the collostructional strength of "Noun" lexeme in Chinese synonymous double classifier constructions "X shuang/dui/fu-N", with the aim of investigating the semantic hierarchy of "N", prototypical meaning of each construction and their cognitive motivation respectively.The research findings are as follows: 1) classifier constructions "X shuang/dui/fu-N" share both similarities and significant differences in terms of collocation and categorization extension mechanism.2) there exists an extension mechanism of metonymy in the extension of classifier constructions "X shuang/dui/fu-N" in addition to the four types of construction categorization extension mechanism proposed by Goldberg, namely, the polysemy links, the subpart links, instance links, and metaphorical links.3) Though both metaphor and metonymy play an essential role in the extension of classifier constructions "X shuang/dui/fu-N", yet the metonymy mechanism is more fundamental.
The use of End-to-End Digital Technologies for Teaching Schoolchildren Programming of Robotic Devices

The article deals with the issue of mastering end-to-end digital technologies by schoolchildren. The authors analyze all existing approaches in teaching schoolchildren programming of robotic devices. The expediency of applying existing approaches in teaching programming to schoolchildren is substantiated and the most effective of them is revealed. The purpose of the article is to present and justify the most effective approach in teaching schoolchildren programming of robotic devices in the context of personalization of schoolchildren’s educational trajectories. Research methodology and methods. The research methodology is based on a comparative analysis of the results of experimental work to identify the most effective approach in teaching schoolchildren to program robotic devices in the context of personalization of schoolchildren’s educational trajectories. Research results, discussion. Comparative and comparative analysis of the results of experimental work to identify the most effective approach in teaching schoolchildren to program robotic devices in the context of personalization of schoolchildren’s educational trajectories. Conclusion. The prospects of the obtained presented data are associated with solving the problem of increasing the level of proficiency in end-to-end digital technologies in the context of personalizing the educational trajectories of schoolchildren. For teachers of schools, centers of additional education working in a digital educational environment, it is necessary to take into account in their work special conditions and principles to increase the level of proficiency in end-to-end digital technologies.