bluuebunny/crossref_metadata_2025 huggingface dataset:
To the Question of Productive Orientation of Foreign Language Learning within an Elective Course in a Pre-professional Media Class
Authors:   Moscow City Pedagogical University, Yampolskaya Ekaterina G.
Published: March 2024

This article deals with the issue of designing an elective foreign language course “Media Content Developer” for students of the 10th – 11th profile media classes. The aim of the course is to develop students’ professional self-determination through foreign language teaching. The relevance of the research topic is related to the need for expanding the subject content of the discipline “Foreign Language” for the designated audience and further meeting the need of high school students in obtaining the conditions for their professional self-determination. The feature of the foreign language elective course will be the reinforcement of the career guid-ance orientation of education through the development of productive types of speech activities of high school students, their productive thinking, creative abilities, and the creation of media products as a result of the crea-tive activities of high school students. The developed fragment of the elective course “Media Content Develop-er” in English is a demonstration of the specifics of the course and will contribute to its preparation in general and implementation in the school teaching practice.
On the Employment Policy for Workers with an Academic Degree in the People’s Republic of China
Authors:   Saint Petersburg State University, Chen Wenwei
Published: March 2024

The article analyzes the main characteristics of the employment policy in the People’s Republic of China im-plemented by the authorities in relation to employees with an academic degree. The main features of the em-ployment policy in China are highlighted. A general description of the conditions of employment of employees of the studied category in China is given. It is noted that they form the top of the professional hierarchy in the People’s Republic of China, since they have competencies that are not available to specialists who have com-pleted bachelor’s and master’s degree programs. Among them: the ability to independent professional actions, creativity, research activity, analytical basis of activity. The key problems associated with the implementation of the state employment policy in relation to employees with an academic degree are identified, mainly due to the ambiguity of government support programs for graduate students, the network principle of their employment, and the lack of criteria for determining the effectiveness of their work. Appropriate proposals are formulated to optimize the state employment policy for this category of workers.
Problems of the Organization of State Regulation Financial Control in the Construction Sector
Authors:   Sochi State University, Korneychuk Igor A.
Published: March 2024

The article discusses issues related to the specifics of the implementation of state financial control in the field of construction. It is emphasized that this type of activity undergoes transformation in modern conditions due to the active inclusion of innovative elements in the organization of regulatory and inspection procedures, as well as due to the total digitalization of the Russian society. Above all, the complexity of the implementation of state financial control in the construction sector due to the multitude of stakeholders and the need to apply universal and at the same time differentiated methods of work to them is highlighted. The author identifies the following problems of financial control regulation in the construction sector: the lack of a full-fledged and well-established legislative framework; inconsistency of regulatory guidelines in different branches of law; vague-ness of the division of powers of subjects; the need to comply with the processes of modernization and digitali-zation of the financial structure in order to obtain more massive information data. Conclusion dwells upon the fact that the progressive development of society determines changes in the procedure of state financial control in the field of construction, the search for new regulatory and evaluating forms of work, the creation of innova-tive integrated programs of control of construction facilities.
The Phenomenon of the “Old” and “New” Armenian Diaspora of the Krasnodar Krai: Features of Self-Awareness, Adaptation and Integration
Authors:   Kuban State University, Rakachev Vadim N. , Khagurov Temyr A. ,   Kuban State University, Rakacheva Alexandra V. ,   National Research University Higher School of Economics
Published: March 2024

Based on the results of a sociological study, the article analyzes the ethnic identity, as well as the features of adaptation and integration into the host society of representatives of the “old” and “new” Armenian diaspora of Krasnodar Krai. Conclusion dwells upon the fact that the Armenian Diaspora, which was formed as a result of a series of migration waves and is often viewed from the outside as a single entity, is in fact quite diverse and internally differentiated. As a result, the article analyzes some forms of ethnic self-consciousness of represent-atives of the “old” and “new” diasporas. Major migration waves due to the historical and political context of the resettlement of Armenians in Krasnodar Krai are described. Using the study of ethnic and civic self-consciousness and ethno-social identity of diaspora representatives, the degree (depth) and main forms of integration of representatives of various migration waves both into the structures of the diaspora itself and the host society as a whole are revealed.
Modern View on the State of Evaluation of Additional Education Teachers’ Performance (On the Example of the Yaroslavl Region)
Authors:   Financial University under the Government of the Russian Federation, Gromova Marina V.
Published: March 2024

The article examines the economic and social situation of additional education teachers on the example of the Yaroslavl region. Based on the analysis of statistical data and the results of the conducted expert survey, the conclusion is made about its sustainability and stability. At the same time, the problems related to the evalua-tion of teachers’ performance are noted, as in many respects it relies on traditional methods (mainly attestation) and is formal in nature. The methods of evaluating teachers’ performance used in practice do not fully disclose the specifics of their activities. The author’s research delves into the fact that one of the possible options for the implementation of objective assessment will be its reliance on a competence approach, which, on the one hand, allows to take into account the modern requirements for additional education teacher specializing in chil-dren and adults, and, on the other hand, reveals professional deficits and determines the future direction of specialist's development.
Victimological Typologization of Passengers on Public Transport in Moscow: Sociological Approach
Authors:   All-Russian Research Institute of the Ministry of Internal Affairs of the Russian Federation, Zhukov Pavel S.
Published: March 2024

Public transport in Moscow is becoming more and more accessible for passengers, and the volume of its us-age is steadily increasing. At the same time, the expansion of urban and transport infrastructure, an increase in traffic flow create conditions for the victimization of passengers on public transport in Moscow, where they be-come victims, among other things, because of their victim properties and concomitant factors of a victim nature. The article examines and analyzes various typologies and classifications of crime victims given by various au-thors. The point of view is expressed that typology and classification are related concepts, and the existing ty-pologies and classifications do not fully reflect the features of victimization on public transport in Moscow. As a solution to this problem, the author's typology of passengers who may be subject to victimization is proposed. As a result of the expert assessment, the types of passengers most susceptible to victimization have been iden-tified. The obtained research results made it possible to attribute representatives of certain social groups to the types indicated by the author.
Evaluasi Dampak Peningkatan Populasi Terhadap Ketersediaan Air Tanah pada Perumahan CitraGrand Kota Semarang
Authors: Maharani Desi Febrina , Wardhani Dhiyan Krishna , Angghita Lintang Jata
Published: March 2024

Indonesia experiences an increase in population every year, which has an impact on the need for clean water. The increasing demand for clean water will certainly lead to the exploitation of water resources such as groundwater. Groundwater if used for a long period of time can potentially have a negative impact on both the environment and all living things and can affect the availability of water resources. One of the housing estates that still uses groundwater to meet the main needs of clean water is CitraGrand housing located on Jalan Kompol R. Soekanto, Tembalang District, Semarang City. This research was conducted in the CitraGrand residential area of Semarang City because this housing still uses groundwater along with the increasing population, so this research aims to analyze the distribution range and the amount of groundwater availability. Furthermore, the final results show that in 2033 the groundwater availability capacity in CitraGrand Semarang residential area has reached -3,936.9 million m3. This may indicate that the availability of groundwater can no longer be utilized as the main need for clean water. Therefore, the analysis results of this study can be used as a reference for developers related to strategies in sustainable water resources management.
THE EFFECT OF FINANCIAL AND CORPORATE GOVERNANCE FACTORS ON THE FORCED FINANCIAL RESTATEMENT LIKELIHOOD: EVIDENCE FROM MALAYSIA
Authors: Othman Intan Waheedah , Slack Richard , Stratling Rebecca , Syed Yusuf Sharifah Norzehan , Wan Mohd Radzi Wan Shahriah
Published: March 2024

Background and Purpose: Forced financial restatement (FFR) creates a major concern as it has an instantaneous and disastrous effect on a firm’s share price. Whilst studies focusing on FFR are limited, this study investigated the financial and corporate governance influences that affect the FFR likelihood within the emerging background of Malaysia. This study aims to provide new evidence and insights to Malaysian regulators in developing strategies to reinforce financial reporting quality.
 
Methodology: The influences of board independence, political connection, audit committee financial expertise, government-related institutional ownership, family ownership and control, corporate reporting quality, and financial distress on FFR occurrence were investigated. A multivariate logistic model was employed on 4,759 firm-year observations from 2002 until 2012.
Findings: Findings revealed that aggressive accounting influences the FFR likelihood. Based on the results, the number of independent board directors, the presence of politically connected investors or management, working capital accruals management, real earnings management, and the financial health of the firm amplified the FFR occurrences.
 
Contributions: This study enriches the body of knowledge on FFR by investigating a wider range of financial and corporate governance factors as possible determinants of FFR.
 
Keywords: Forced financial restatement, opportunistic, accruals management, real earnings management, Malaysia.
 
Cite as: Slack, R., Othman, I. W., Stratling, R., Syed-Yusuf, S. N., & Wan Mohd Radzi, W. S. (2023). The effect of financial and corporate governance factors on the forced financial restatement likelihood:  Evidence from Malaysia. Journal of Nusantara Studies, 8(TI), 147-176. http://dx.doi.org/10.24200/jonus.vol8issTIpp147-176
CORPORATE GOVERNANCE AND BOARD EFFECTIVENESS: A SYSTEMATIC REVIEW OF THE COMPANY SECRETARY ROLE
Authors: Abdul Halim Syahrina ‘Adliana , Lokman Norziana , Othman Sarina
Published: March 2024

Background and Purpose: Company secretary roles are increasingly gaining attention and recognition globally. However, research on corporate governance and board effectiveness lacks a comprehensive and systematic review from the company secretary role. Most research to date has been focused on the role of other corporate governance actors, namely, CEOs, directors, and auditors. In this present systematic literature review, we address this deficiency.
 
Methodology: This paper adopted a systematic literature review approach. We used two indexed databases, Scopus and Web of Science, to analyse the articles written on corporate governance, company secretary and board effectiveness. A total of 121 articles published in these fields were examined, and after rigorous analysis, only 18 articles from which met the inclusion criteria were included.
 
Findings: Our findings reveal that only a few corporate governance research has investigated the role of company secretary in enhancing board effectiveness (board structure, board process and board practices). The thematic analysis conducted identified seven key roles of the company secretary. The roles are to: (1) support the chairman of the board; (2) provide advice and act as a confidant to the board of directors; (3) facilitate and manage the board of directors and board committee process; (4) liaise between the board and management; (5) manage information asymmetry and enhance transparency; (6) ensure compliance with laws, regulations, corporate governance code and best practices, and (7) manage company relations.
 
Contributions: The analysis in this paper presents four key findings - types of articles, geographical location, theory, and company secretary roles that reflect the research gaps present in the corporate governance literature, thus highlighting significant future research avenues.
 
Keywords: Board effectiveness, company secretary, corporate governance, roles, systematic literature review.
 
Cite as: Halim, S. A. A, Lokman, N., & Othman, S. (2023). Corporate governance and board effectiveness: A systematic literature review of the company secretary role. Journal of Nusantara Studies, 8(TI), 209-234. http://dx.doi.org/10.24200/jonus.vol8issTIpp209-234
CLIMATE CHANGE RISK FOR SUSTAINABILITY: THE IMPLICATION ON FINANCIAL AND ENVIRONMENT, SOCIAL AND GOVERNANCE REPORTING
Authors: Kamarudin Yanto , Mohd-Sanusi Zuraidah , Musa Kazi , Kazemian Soheil , Hitam Mizan , Ghazali Aziatul Waznah , Shafie Nur Aima
Published: March 2024

Objective: This study explores several aspects of climate change risk on financial reporting and the provision of non-financial information in relation to climate change risk and other important information in social and governance aspects (collectively referred to as environment, social and governance (ESG). This study also extends the analysis of assurance standard use in guaranteeing ESG reporting. 
 
Methodology: This study utilizes professional and industry reports and research papers on issues related to the subject matter. The industry reports provide data from 2019 to 2020, and the current state of ESG reporting has been analyzed. 
 
Findings: Climate change risk has a significant effect on financial reporting. Auditors should consider climate change risk when performing a financial statement audit. Non-financial information, such as ESG or sustainability reporting, has been included as part of corporate reporting, given that non-financial information has been used when stakeholders make their investment or other decisions.
 
Originality/Value: This study adds new knowledge by exploring the influence of climate change risk on financial reporting. Specifically, ESG frameworks, guidelines or standards are referred by companies when preparing the sustainability reporting to their stakeholders. 
 
Implication: This study shows that practicing sustainable reporting helps companies increase trustworthiness to stakeholders. It also highlights that more research should be conducted on issues related to current ESG practices, accounting standards and acceptance of stakeholders towards better sustainability. 
 
Keywords: Sustainable reporting, environment, climate change, audit, ESG framework.
 
Cite as: Kamarudin, Y., Mohd-Sanusi, Z., Musa, K., Kazemian, S., Hitam, M., Ghazali, A. W., & Shafie, N. A. (2023). Climate change risk for sustainability: The implication on financial and environment, social and governance reporting. Journal of Nusantara Studies, 8(TI), 277-299. http://dx.doi.org/10.24200/jonus.vol8issTIpp277-299
DETERMINATION OF POVERTY USING MULTI-FACETED MEASURES: EVIDENCE FROM ZAKAT APPLICANTS
Authors: Othman Azhana , Mohd Noor Abd Halim , Abdul Rasool Mohamed Saladin , Kasim Eley Suzana
Published: March 2024

Background and Purpose: Poverty, despite being a multifaceted concept, is commonly measured in either absolute or relative monetary terms. However, it can also be measured subjectively, as people form perceptions on their relative income, welfare, and life satisfaction. Poverty measurement based on objective indicators such as official poverty lines is often used to orient and prioritize policy actions. However, such ‘standard’ poverty measures based on household consumption or income aggregates have several shortcomings. This objective indicator does little to inform policy makers about public preferences. The main goal of this paper is to investigate multifaceted poverty measurement by combining objective and subjective measures to provide useful insights into poverty in Malaysia. In addition, this study explored the multifaceted poverty incidence among the low-income household from the perspective of zakat applicants.
 
Methodology: Data was collected using a survey and interviews of zakat applicants under the category of poor and needy in the State Islamic Religious Council (SIRC) of Melaka, one of the states in Malaysia. Three poverty measurements, i.e., Poverty Line Income (PLI), Haddul Kifayah and Subjective Poverty Index (SPI), are utilized in this study.
Findings: The PLI and Haddul Kifayah are categorized as objective poverty measures, while SPI is categorized as a subjective poverty measure. The different measures of poverty would produce different analytical results that, in turn, call for a different set of policy interventions.
 
Contributions: These findings point to the needs of tailor-made strategies for the society to cope with multifaceted poverty.
 
Keywords: Multifaceted poverty, objective poverty, subjective poverty, poverty measurement, zakat recipients.
 
Cite as: Othman, A., Mohd Noor, A. H., Abdul Rasool, M. S., & Kasim, E. S. (2023). Determination of poverty using multi-faceted measures: Evidence from zakat applicants.  Journal of Nusantara Studies, 8(TI), 62-86. http://dx.doi.org/10.24200/jonus.vol8issTIpp62-86
VALUE CREATION FOR SHARIAH-COMPLIANT COMPANIES FROM THE PERSPECTIVE OF MAQASID SHARIAH: A PROPOSED FRAMEWORK
Authors: Sutainim Nor Aqilah , Mohammed Nor Farizal , Mahmud Radziah , Muhammad Rifqi
Published: March 2024

Purpose: Integrated reporting (IR) is to convey the integrated thinking (IT) process in creating value for organisations. Drawing from the framework of Maqasid Shariah, the paper seeks to propose a framework for measuring value creation for Shariah-compliant Companies (ShCCs).
 
Methodology: Based on the existing literature on the performance of companies, this paper explores the measurements of value creation, which is arguably the consequence of integrated reporting and integrated thinking in an organization that matches the framework of Maqasid Shariah. This issue is examined by looking at the context of ShCCs in Malaysia.
 
Findings: The findings support the contention by Shariah Enterprise Theory, which is the extension of legitimacy and stakeholders’ theory. The various measurements of value creation can be classified under the broad classification of Abu Zahrah (1997)’s Maqasid Shariah framework.
 
Contributions: This paper enhances the understanding of value creation from the perspective of Islam, thereby contributing to meeting the initial aim of ShCCs classification, which is to fulfill the need of Muslim stakeholders. Additionally, the proposed framework provides measurements of value creation based on the Maqasid Shariah framework that can be used in future research.
Keywords: Maqasid Shariah, value creation, integrated reporting, integrated thinking, Shariah-compliant companies.
 
Cite as: Sutainim, N. A., Mohammed, N. F., Mahmud, R., & Muhammad, R. (2023). Value creation for Shariah-compliant companies from the perspective of Maqasid Shariah: A proposed framework. Journal of Nusantara Studies, 8(TI), 87-108. http://dx.doi.org/10.24200/jonus.vol8issTIpp87-108
La batalla austral. Antártida y Malvinas durante la gestión de Arturo Frondizi (1958-1962)
Authors: Ruffini Martha
Published: March 2024

El objetivo del artículo es interpretar la diplomacia austral como parte de la resigniﬁcación de la Patagonia en el gobierno de Arturo Frondizi. La hipótesis procura demostrar que la diplomacia se articuló con las representaciones de la Patagonia como epicentro de las “batallas” constitutivas de la “segunda conquista al desierto”. Según la perspectiva de la Geopolítica Crítica y a través de documentación estatal, periodística y legislativa proponemos incorporar a la diplomacia austral como una nueva batalla patagónica bajo el formato de lucha territorial por la soberanía.
Examining the possibility of short-term prediction of traffic volume in smart city control systems with the use of regression models
Authors: Dymora Peweł , Mazurek Mirosław , Jucha Maksymilian
Published: March 2024

This article deals with issues related to the optimization of traffic management in modern cities, the so-called Smart City. In particular, the article presents the process of evolution of the traffic flow prediction model at a selected crossroads in a selected city in Poland - the city of Rzeszów. Rzeszow is an example of a smart city equipped with an extensive system of real-time data collection and processing from multiple road points in the city. The research was aimed at a detailed analysis of the feasibility and degree of fit of different variants of the regression model: linear, polynomial, trigonometric, polynomial-trigonometric, and regression-based Random Forest algorithm. Several studies were carried out evaluating different generations of models, in particular, an analysis was carried out based on which the superiority of the trigonometric model was demonstrated. This model had the best fit and the lowest error rate, which could be a good conclusion for widespread use and implementation in Smart City supervisory systems.
Virtuality engineering in esports
Authors: Białecki Andrzej , Gajewski Jan , Romaniuk Ryszard
Published: March 2024

Traditional sports and esports benefit from the development of Information and Communications Technologies (ICT), including gaming, 4D image/video processing, augmented reality (AR), virtual reality (VR), machine learning (ML), artificial intelligence (AI), big data, high-performance computing (HPC), and cloud computing. On the fuzzy border between the areas of physical and modified reality, both types of sports can coexist. The hardware layer of esports includes PC, consoles, smartphones, and peripherals used to interface with computers, including sensors and feedback devices. The IT layer of esports includes algorithms required in the development of games, online platforms, and virtual reality. The esports community includes amateur and professional players, spectators, esports organizers, sponsors, and other stakeholders. Esports and gaming research spans throughout law (intellectual rights, insurance, safety, and age restrictions), administration (teams, clubs, organizations, league regulations, and tournaments) biology (medicine, psychology, addiction, training and education) Olympic and non- Olympic disciplines, ethical issues, game producers, finance, gambling, data acquisition and analysis. Our article aims to presents selected research issues of esports in the ICT virtualization layer.
Integrating advanced approaches for climate change impact assessment on water resources in arid regions
Authors: Abdullaeva Barno S.
Published: March 2024

This research addresses the growing complexity and urgency of climate change’s impact on water resources in arid regions. It combines advanced climate modelling, machine learning, and hydrological modelling to gain profound insights into temperature variations and precipitation patterns and their impacts on the runoff. Notably, it predicts a continuous rise in both maximum and minimum air temperatures until 2050, with minimum temperatures increasing more rapidly. It highlights a concerning trend of decreasing basin precipitation. Sophisticated hydrological models factor in land use, vegetation, and groundwater, offering nuanced insights into water availability, which signifies a detailed and comprehensive understanding of factors impacting water availability. This includes considerations of spatial variability, temporal dynamics, land use effects, vegetation dynamics, groundwater interactions, and the influence of climate change. The research integrates data from advanced climate models, machine learning, and real-time observations, and refers to continuously updated data from various sources, including weather stations, satellites, ground-based sensors, climate monitoring networks, and stream gauges, for accurate basin discharge simulations (Nash–Sutcliffe efficiency – NSE RCP2.6 = 0.99, root mean square error – RMSE RCP2.6 = 1.1, and coefficient of determination R 2 RCP2:6= 0.95 of representative concentration pathways 2.6 (RCP)). By uniting these approaches, the study offers valuable insights for policymakers, water resource managers, and local communities to adapt to and manage water resources in arid regions.
Socioeconomic status, lake knowledge, and community participation in the sustainable Lake Limboto management, Gorontalo Regency
Authors: Melo Ramla H. , Pambudi Moch R. , Niode Alim
Published: March 2024

Lake Limboto, situated in Gorontalo, Indonesia, confronts severe threats jeopardizing its sustainability. Widespread deforestation in the watershed area has led to excessive sedimentation within the lake, consequently diminishing its water storage capacity and compromising its flood control function. This degradation has manifested itself in downstream droughts during the dry season and flooding during the rainy season. Historical data reveals a stark reduction in Lake Limboto’s size, plummeting from approximately 3,644.5 ha in 1991 to around 2,693.9 ha in 2017. This study aims to provide comprehensive examination of the interplay between the socioeconomic status of the local community and their understanding of the lake ecosystem. Furthermore, it delves into how these factors produce synergies that shape and impact community involvement in sustainable lake management initiatives. Hypothesis testing yielded significant results, affirming the existence of a positive correlation between socioeconomic status, knowledge of the lake ecosystem, and active community participation in sustainable lake management efforts. The findings underscore the critical importance of socioeconomic factors that need to be considered when designing strategies for the preservation and sustainable management of Lake Limboto. Integrating the community into conservation initiatives is necessary, given their intrinsic relationship with the lake. By acknowledging and leveraging the nexus between socioeconomic status, ecological knowledge, and active participation, stakeholders can formulate more effective and inclusive strategies for safeguarding Lake Limboto’s ecological integrity. This study contributes valuable insights for policymakers, environmentalists, and local communities alike, emphasizing the necessity of collaborative efforts to ensure the long-term resilience and vitality of Lake Limboto.
Research on the Path of Integrating Curriculum Ideological and Political into Physical Education Teaching in Colleges and Universities in the Era of Artificial Intelligence
Authors: Liu Zhongliang
Published: March 2024

In the era of artificial intelligence, how to effectively integrate curriculum ideology into college physical education teaching has become an essential way to improve students’ comprehensive quality, and this research area has been increasingly emphasized. The study first analyzes the dialectical relationship between curriculum Civics and college physical education teaching, pointing out that the two have consistent educational goals and concepts and can form a good synergy effect. Regarding methodology, the item group theory is used to analyze the teaching mode of civics and politics, revealing the advantages of improving the homogeneity of physical education curriculum civics and politics. Particular emphasis is placed on the importance of enhancing physical education teachers’ awareness in practicing course ideology and politics, and it is believed that teachers are the key to guiding students to form correct ideological values. The study utilizes the pull-out gearing method and the material element expandable theory to quantitatively evaluate the effect of integrating curriculum ideology and politics into physical education teaching in colleges and universities. The results showed that after integrating curriculum ideology and politics, students’ mastery of physical education skills increased by 25%, and the awareness of ideological content increased by 30%. In addition, teachers’ self-efficacy in implementing the Civic Politics in PE teaching increased by 40%, and students’ social adaptability scores increased by an average of 2.3 points out of 10. The effective integration of curriculum ideology can significantly improve the quality of physical education teaching in colleges and universities, and positively impact the enhancement of students’ ideology and morality as well as their skills and techniques.
Exploration of High-level Apprenticeship Talent Cultivation Mode with Chinese Characteristics Based on SWOT Analysis
Authors: Lv Zhixia
Published: March 2024

High-level apprenticeship with Chinese characteristics is becoming increasingly important in the modern vocational education system, and its development is affected by many factors. SWOT analysis provides an effective tool for exploring and optimizing this training model. The research methods include literature review, fuzzy comprehensive evaluation and linear regression analysis. The results show that internal strengths include establishing theoretical and practical foundations and the implementation of regional pilots. In contrast, internal weaknesses are mainly reflected in the misunderstanding of high-level apprenticeship and the lack of professionalization standards. External opportunities include industrial transformation and policy support, while external threats involve social recognition of vocational education and enterprise participation. By analyzing the data from 643 questionnaires, the R-square value of the model was found to be 0.73, indicating that the selected factors explained 73.8% of the changes in talent cultivation. Developing a high-level apprenticeship system with Chinese characteristics should consider the comprehensive influence of internal and external factors and develop corresponding optimization strategies.
An applied study of multi-layer decision tree optimization algorithms in machine learning
Authors: Nie Jingjing
Published: March 2024

This paper investigates the multi-layer decision tree optimization algorithm in machine learning and explores its efficiency and accuracy in applying complex data classification. The focus is on the optimization strategy of the algorithm when dealing with large datasets with multiple types of records. The research adopts methods such as data set Discretization, fuzzification processing and hierarchical fuzzy decision tree construction algorithm. Through experimental verification, our constructed multilevel fuzzy decision tree performs well in two application scenarios: rainfall prediction and fingerprint identification. In the rainfall prediction experiment, using 5200 sample data, the algorithm achieves a classification accuracy of 61%. In the fingerprint recognition experiment, from 3,000 fingerprint images, a 100% recognition rate was performed, and the rejection rate was 25.2%. The results show that the multi-layer decision tree optimization algorithm can effectively handle large data sets of multiple types and significantly improve the accuracy and efficiency of classification. The algorithm offers high adaptability and accuracy when dealing with continuous type attributes. This study provides a new perspective and methodology for the application of multi-layer decision trees in machine learning, which is of great significance for the future development of data processing and classification techniques.
Construction of Online Interactive Teaching Platform for Drama, Film and Television Majors Based on Fuzzy Multi-Objective Decision Making Algorithm
Authors: Song Chi
Published: March 2024

This study introduces a multi-objective decision-making model tailored for developing an educational platform, blending economic considerations with the platform’s operational constraints. It employs a fuzzy set approach for algorithm design, utilizing a method that minimizes deviations in membership values for solving. The research culminates creating an online interactive teaching platform for drama and film studies. This platform is architecturally founded on the B/S framework, incorporates functional modules derived from its educational objectives, and utilizes MySQL for data flow design. Comparing it to conventional teaching methods, a comprehensive evaluation demonstrates its practical application in real-world teaching scenarios. Performance tests reveal module response times between 2.7 to 3.0 seconds, with compatibility tests ranging from 0.11 to 0.36 seconds. Under a load of 200 simultaneous users, the database connection pool maintains an optimal size of about 35 connections, with thread counts near 50 and zero idle database connections. The study also quantifies the platform’s impact on various educational aspects, showing correlation coefficients for learning attitude (0.88), motivation (0.50), behavior (0.72), and teacher-student (0.15) as well as student-student interactions (0.27) with the learning effectiveness of the platform.
The Heterogeneous Impact of Changes in the Age Structure of China’s Elderly Population on Regional Economic Development
Authors: Zhang Yi
Published: March 2024

Currently, the impact of population aging on economic development is mainly explored from the dimension of time, ignoring the Heterogeneity between the two. In this paper, we start by measuring the regional economic development level index, use the entropy value method to solve the index weights, and calculate the regional economic development level index using the linear weighting method. The regional development level index is used as an explanatory variable to construct the baseline regression model and the dynamic panel model for the change in the age structure of the elderly population. The panel data of 31 provinces (cities/autonomous regions) in China are used as examples to explore the heterogeneous effects of age structure changes on regional economic development of the elderly population. The results show that when the age structure change of the elderly population increases by 1%, the regional economic development level rises by 0.782%, and the age structure change of the elderly population is positively and significantly affecting the quality of economic development in the central and western regions at the 1% level. The regression coefficient of population aging in the low level stage is 0.007. The effect on the regional economic development level is significantly positive at the 1%. The age structure change of the elderly population affects the regional economic development by mediating health consumption expenditure. The age structure change of the elderly population has Heterogeneity in regional economic development in terms of period, region, and level at different stages.
Study on the Implementation Path of Integrating Jing-Chu Culture into the Living Regionalization of Aesthetic Education in Hubei Colleges and Universities in the Age of Informatization
Authors: Zhang Kain
Published: March 2024

Exploring effective ways to improve aesthetic education in colleges and universities is one of the hotspots of current educational research. Starting from the three dimensions of school theory, practical activities and social practice, this study successfully constructed a model of living and regionalizing aesthetic education in Hubei colleges and universities, integrating the elements of Jingchu culture using informatization tools. The study puts forward a series of hypotheses around the four key dimensions of school, society, policy and students. It uses factor analysis to explore the influencing factors behind these hypotheses and their interactions, ensuring the rationality of the influencing factors. This paper’s hypotheses are empirically supported by structural equation modeling verification. The model has been proved to be theoretically sound and practically feasible. The study results reveal that the mean values of all the influencing factors exceeded the median value of 3, and the standard deviations ranged from 0.7 to 1.0, showing a small degree of dispersion, which proved the reasonableness of the factor selection. Specifically, school support directly influences the living regionalization of aesthetic education in colleges and universities (0.628), while the indirect influence effects of social promotion, policy guarantee, and students’ attitudes are 0.240, 0.122, and 0.285, respectively. In addition, the combination of the Jingchu culture with aesthetic education in colleges and universities not only enhances the cultural self-confidence of college students, but also effectively carries forward the traditional culture, and provides a new perspective and practical path.
Self-Information Forgery Mining for Face Forgery Detection
Authors: Wang Xiaozhuo , Wei Jianyu
Published: March 2024

In the face of rapid advances in face forgery technology, effective detection methods have become crucial to maintain the authenticity of digital media. Deep learning technology has provided new strategies for recognizing and preventing face forgery in recent years. In this study, a new face forgery detection technique is proposed by utilizing self-information theory, which improves the accuracy and robustness of detection by mining forgery traces, especially in diverse forgery scenarios. The study extracts face features through an improved high-resolution network HRNet and optimizes identity information extraction by combining facial reenactment techniques to detect forged faces efficiently. Experiments have been conducted on several mainstream forged face datasets, and the method presented in this paper can effectively improve the detection performance with an average accuracy of 74.75% on C40 recompressed images. Comparison experiments show that this research method’s frame-level and video-level detection accuracy on the Celeb-DF dataset are 0.9846 and 0.9985, respectively, which are higher than those of existing techniques. Cross-library tests validate the method’s generalization performance, and the AUC metric remains at 0.7305 even in low-quality video environments, which shows good resistance to environmental interference. This study proposes a self-information forgery mining technique that enhances forgery detection accuracy while demonstrating superior generalization ability.
Research on Multimodal Teaching Model of English Writing in Colleges and Universities Based on Knowledge Mapping
Authors: Hu Zhenzhen
Published: March 2024

This study investigates the effectiveness of multimodal teaching methods in college English writing courses, contrasting these innovative approaches with traditional teaching methods. By integrating multimodal knowledge mapping into an English teaching platform, we aimed to enrich students’ learning experiences and enhance their writing skills. A comparative analysis involving two classes—one employing the traditional teaching method and the other utilizing the multimodal approach—revealed significant improvements in the multimodal group. Students in the experimental class demonstrated heightened interest, improved attitudes and cognition towards English writing, and their average writing scores increased by 2.68 points, from 12.66 to 15.34. In contrast, the control group showed no significant score changes. Our findings underscore the multimodal teaching method’s capacity to effectively elevate students’ English writing abilities, marking a successful adaptation to modern educational demands.
A Study on Influencing Factors of Dynamic Chinese Character Stroke Writing Behavior in CFL Beginners Using Digital Ink Technology
Authors: Lai Yun , Zhang Xiwen
Published: March 2024

Exploring the intricacies of learning Chinese, this study leverages digital ink technology to observe the stroke writing behaviors of novice learners. We delved into the nuances of stroke order, direction, and the fluidity of writing, scrutinizing 2,131 Chinese characters to uncover the relationship between character structure and writing behavior. Our findings illuminate beginners’ challenges, offering a novel perspective on teaching Chinese characters that caters to the dynamic nature of writing and learning.
Bin Packing Problem with Item Time Window Conflict Dependent Profits
Authors: Ren Jiayue
Published: March 2024

The problem of packing with items with conflicting time-window dependence on profit considering departure time is studied in the context of consolidation of goods in transport, which is a practical problem in the logistics industry. The objective is to select the loading plan that is most profitable based on the volume and time windows of the items. The time windows of items in the same box must intersect, and the intersection of the items’ time windows affects the box’s departure time and hence the profit-dependent time. The problem is identified as an integer programming model for decision making, and two modeling strategies are proposed to address it by improving the GRASP heuristic. Multi-class examples are used in experiments to confirm that the improved algorithm can solve the problem efficiently, find the near-optimal solution in a shorter time, and enhance customer satisfaction.
Dynamic analysis of digitally-driven technology upgrades and environments based on DAG-SVAR models-a case study of the United States of America
Authors: Lyu Yifei , Gao Jie , Wang Jie , Zhang Yuhua
Published: March 2024

Digitalization is a fundamentally disruptive force triggered by the fourth Industrial Revolution and the Internet of Things, driving technology upgrades, so what impact does digitalization have on the environment? In this paper, DAG-SVAR model was constructed to verify it. Through impulse response analysis, it was found that digitization drives technological upgrades, and environmental pollution is reduced through intelligent production, improved information environment, and ameliorated governance level. This paper suggests that, on the one hand, the technology upgrade is the key to digital empowerment in new fields and new spaces. Enterprises need to constantly explore diversified application scenarios, help the digital and intelligent transformation of energy, transportation, manufacturing and other industries, and greatly promote the integration and interaction of technology and various fields and sustainable development; on the other hand, it is necessary to strengthen digital ecological governance, promote the interconnection of everything, human-computer interaction, and the integration of space and land, so that information resources can fully flow, to create a digital green ecology.
Thermoelectric Optimization of Integrated Energy System Based on Bidirectional Electricity-to-Hydrogen Technology
Authors: He Cai , Cheng Shan , Cheng Ying , Tao Yuning
Published: March 2024

Addressing the challenges of high energy consumption and low efficiency in integrated energy systems, this research develops an optimal scheduling strategy that takes into account the dynamic operational conditions of the system and the complementary nature of electricity, hydrogen, and heat energies. Through the innovative application of variable efficiency gas turbines and solid oxide batteries, our model adeptly converts between these forms of energy. Moreover, we introduce a demand response strategy that seeks to balance efficiency with low-carbon generation and integrates a tiered carbon trading scheme to influence user electricity use and curb system-wide carbon footprints. Empirical results validate the effectiveness of our method in significantly enhancing energy use efficiency, cost savings, and emissions reductions.
Blockchain event ordering algorithm based on high-dimensional multi-objective differential evolution
Authors: Li Kuan
Published: March 2024

Since the birth of Bitcoin, blockchain technology has been widely used in many fields, such as finance, supply chain management, smart contracts, etc.and has been highly valued for its decentralized and tamper-proof characteristics. With the expansion of application scenarios, blockchain faces inefficient data processing challenges, particularly in event sequencing and processing. Developing efficient event sequencing algorithms is a research priority to enhance the performance of blockchain systems. This study addresses the efficiency problem in blockchain event sequencing by introducing a high-dimensional multi-objective differential evolution strategy to improve blockchain technology’s performance in various fields. This paper uses the NSGA-III-WA algorithm to efficiently sort blockchain events by combining differential evolution strategies. Compared to the traditional sorting algorithm, this algorithm reduces latency by 30% and improves memory usage by about 20% when dealing with events of the same size, ensuring sorting accuracy. By optimizing the weight vector adjustment strategy, the convergence speed and distribution uniformity of the algorithm and the solution can be optimized. In this paper, the algorithm can effectively improve the efficiency and performance of blockchain event processing, which is critical in optimizing blockchain systems.
Analysis of the application effect of ecological adaptability concept in rural landscape design based on TACSI-IPA evaluation
Authors: Mao Yantao , Sun Yihui
Published: March 2024

In this research, we apply the innovative TACSI-IPA system to study how ecological adaptability can transform rural landscape design, focusing on elevating design excellence and customer contentment. We innovatively blend the TACSI model—centered on capturing tourist attraction nuances—with a sophisticated latent variable approach for a deeper dive into customer satisfaction metrics. The introduction of IPA analysis allows us to intricately map out tourists’ satisfaction levels and interests, leading to more targeted evaluation outcomes. Our practical work in Zhangzhou Wuqiao Village has shown remarkable improvements in the appreciation of both its natural and crafted landscapes. Specifically, the plant and water landscapes achieved coordination scores of 2.25 and 4.46, respectively, with the crafted amenity landscape receiving widespread acclaim and an impressive satisfaction average above 4. A comparative lens against traditional villages underscores Wuqiao Village’s standout visual appeal.