bluuebunny/crossref_metadata_2025 huggingface dataset:
Concept Of Masculinity In The Language Picture Of Russian And English-Speaking Youth
Authors: Sabuki Mensah Deborah , Sakaeva Liliya Radikovna , Yahin Marat Ajdarovich , Кеnzhetayeva Gulzira , Sorokina Tatiana Victorovna , Fatkullina Fliuza G.
Published: September 2024

At the present stage of the development of linguistics, the study of the concept of masculinity in the language picture of young people has special significance in connection with the interest of linguists and linguistically, in the problems of language and thinking, language and culture. At the center of scientific research, thus, the system of “human”, “masculinity”, as one of the features of human existence, is an important component of this system. It is interesting, especially in this linguistic research, to study the ways of fixation in the English and Russian languages, a number of stereotyped images that form the basis of the concept of “masculinity”. Masculinity is an important cultural category that is reflected in the language of young people in various ways. In modern language science, great attention is paid to the study of the concept of masculinity in both English and Russian. The study showed that the sense of masculinity in young people’s speech is influenced by social and cultural factors that change it in different directions.
Effect of Intrinsic Foot Muscle (IFM) Training on Balance, Physical Activity and Quality Of Life (Qol) in Down’s syndrome Children – A Case Report
Authors: Muthupandikumar R. , S Deepak , K Vijaya Kumar , S Rajasekar , Premkumar M.
Published: September 2024

Down’s syndrome is the abnormality of the 21st chromosome which is most commonly seen in children. The foot abnormalities are seen in majority of them but its least addressed due to attaining of motor development. Intrinsic foot muscles are the key muscles to maintain balance and movement. The aim of this study is to see the benefits of IFM training on balance, physical activity and quality of life in Down’s syndrome children. This single case report is focusing on the effect of IFM training along with the regular physiotherapy exercise protocols on the balance, physical activity and quality of life in Down’s syndrome children. Regular physiotherapy exercise protocols along with 30 minutes of IFM training were given to the Down’s syndrome children with foot abnormalities 3 sessions a week for 12 weeks followed by a follow up after 3 months. The pre and post test values were measured using Pediatric balance scale (PBS), Children’s Physical activity questionnaire (C - PAQ), Pediatric Quality of Life (QoL) questionnaire and Foot Posture Index (FPI) showed remarkable changes in the balance and physical activity of this child with Down’s syndrome
Echoes of the discourse of purity in religion and politics as effects of the memory of the christian apocalypse
Authors: Albert Saulo , Silva Edvania Gomes da
Published: September 2024

This paper addresses the echoes of the discourse of purity within a fundamentalist religious doctrine, proposing the hypothesis that those echoes reverberate in political powers that shift the focus from urgent humanitarian crises to a memory of the Christian apocalypse. The study employs a theoretical and methodological framework grounded on dis-course analysis and Michel Foucault's concepts of knowledge-power, and ethics. We aim to present purity as a discourse through operational concepts such as memory domain and echo. The results indicate a memory of the Christian and medieval apocalypse linked to the discourse of purity, which echoes across time and space. This, within contemporary conditions of possibility, leads to a fundamentalist movement that revitalizes the perception of the end of the world, while disregarding threats identified by the scientific community.
A review on intravenous lipid emulsions applied in nutritional therapy: characteristics, research trends and future research directions
Authors: Silva Cíntia de Santana , Machado Bruna Aparecida Souza
Published: September 2024

This review synthesizes reviews that examine the impacts of intravenous lipid emulsion on patient clinical condition, highlighting research trends and knowledge gaps. We fill this gap with an up-to-date review, a review of reviews published between 2018 to 2023. PubMed, Scopus and Web of Science were electronically searched. Publications were selected as per inclusion and exclusion criteria. Data synthesis involved categorizing the interventions into nine categories and presented findings in narrative and tabular format. Highlight that the Quality of evidence was assessed using the standardized JBI Critical Appraisal Checklist for reviews. The review included 12 systematic reviews and meta-analysis. The results obtained point out future directions for studies to researchers and contribute to clinical practice professionals by providing an overview of the impact of different lipid emulsions on the patient's clinical condition in different contexts.
Emergency of outpatient anaphylactic shock
Authors: Alotaibi Hatim Faihan , Alanazi Ibrahim Mohammed , Aldukhain Adel Mohammad , Albasri Rakan Faisal , Alanizi Hamoud Ghayyadh , Alshammari Ahmed Hasaan , Almutairi Saif Helal
Published: September 2024

Background: Anaphylaxis is a severe, potentially life-threatening allergic reaction triggered by substances such as food, medications, insect stings, or environmental factors. It presents a range of symptoms, including respiratory, cardiovascular, dermatological, and gastrointestinal manifestations, which can develop rapidly. Misdiagnosis is common, as symptoms overlap with conditions such as septic shock or asthma. The immediate administration of intramuscular epinephrine is critical for treatment, along with airway management, antihistamines, and glucocorticoids. Aim: This review aims to explore the outpatient management of anaphylactic shock, focusing on symptoms, treatment strategies, and emergency preparedness. The review emphasizes the importance of rapid intervention and staff training for successful management. Methods: Methods involve analyzing current literature on anaphylaxis, its clinical presentation, and emergency treatment protocols. Results: Results show that early epinephrine administration is crucial for improving outcomes, with delayed treatment contributing to increased fatality risks. Regular preparedness, such as maintaining an anaphylaxis cart and conducting staff drills, is vital for effective outpatient care. Conclusion: The conclusion underscores the necessity of equipping outpatient settings with proper protocols and emergency supplies to manage anaphylactic emergencies and the need for patient education on recognizing and managing future episodes.
Impact of a health education session on the knowledge of Human Papillomavirus Vaccination (HPV) among the school teachers
Authors: Nalawade Kartik , Bajaj Preeti , Bajaj Udita , Meher Akshaya
Published: September 2024

Introduction: Cervical cancer is the second most common cancer in women worldwide and the most common cancer cause of death in developing countries. Human Papilloma Virus (HPV) vaccine is crucial in reducing its incidence. Unfortunately, there is limited awareness about the availability of the HPV vaccine in India. Method: Knowledge about HPV was assessed among the school teachers by using a questionnaire about HPV and HPV vaccine. Following a health education session on HPV and its vaccination using a PowerPoint presentation, their knowledge was reassessed. Results:  A total of 155 teachers participated in the research (152 female, 3 male) from 5 schools. A significant negative association (r = -0.186) (p<0.05) between the age and pre-test score of the participants was noted. The mean of pre intervention score (7.03 ± 3.35) was less than the mean of post intervention score (12.64 ± 2.41). Paired t-Test was performed and the difference was found to be statistically highly significant (p<0.01). Conclusion: The pre-test results revealed a clear gap in knowledge about the HPV vaccine among school teachers. However, the substantial increase in understanding following the session highlighted the effectiveness of basic educational interventions in closing their  knowledge gap regarding vaccination.
Unveiling the Dark Side: Understanding Social Media's Adverse Effects on Muslim Individuals and Societies
Authors: Kanwal Ameen  , Jamshaid Iqbal Janjua  , Muntaha  , Muhammad Touqeer Awan  , Fatima Noor  , Tahir Abbas
Published: September 2024

Online entertainment has significantly transformed individuals' lives, including those in Muslim societies. While social media offers convenience, it also imposes emotional and psychological strain, which is evident in all aspects of life for social, emotional, and spiritual. The rapid growth of social networks, the proliferation of various social media platforms, and the growing prevalence of social media addiction necessitate an urgent exploration of their negative aspects, particularly within the context of Islamic values and norms. This paper examines the adverse effects of social media on individuals in Muslim societies through literature reviews and case studies, highlighting issues such as the pressure to continuously check for new updates, anxiety stemming from online comparisons, and depression caused by cyberbullying. Prolonged social media use may lead to self-isolation, social barriers, and a false sense of security, which contradicts the principles of communal life in Islam. By focusing on the challenges faced by Muslim users, this study aims to raise awareness of the spiritual and social implications of social media within Islamic communities.
Challenges, Capabilities, and Proposed Initiatives for Capacity-building among Shelter Beneficiaries in Davao City, Philippines: A Case Study
Authors: Reginio Francis , Agcaoili Aurelio
Published: September 2024

Shelter programs stand out as powerful drivers of development, recognizing the rights of the urban beneficiaries in determining their well-being. This study emphasizes the Davao City Shelter Code as the nation’s pioneering local government-led shelter code initiative. The research utilizes a grounded theory approach, as it is well-suited for understanding complex, emerging phenomena within the shelter program and the challenges experienced by shelter beneficiaries. The study employed theoretical sampling and snowball sampling techniques to collect data while analyzing the challenges shelter beneficiaries face through an in-depth case study. For this purpose, 27 key informant interviews (KIIs) were conducted alongside 34 focus group discussions (FGDs) at four different resettlement sites. The findings underscore challenges linked to loss of livelihood due to displacement, skills training mismatch, and insufficient leadership skills experienced by the shelter beneficiaries. Despite these challenges, these shelter beneficiaries have illustrated their capabilities to start income-generating exercises with assurance to outlive, regularly with bolster from NGOs and private companies. Moreover, the inquiry recognizes proposed activities for capacity-building to improve protection conditions and advance the well-being of the recipients by and large. Finally, the researchers developed a theory for the shelter program that outlines the steps that link challenges, capacity-building social resources, and autonomous well-being, ultimately leading to the creation of the ‘shelter-space theory’. This theory emphasizes sustainable networks and community development initiatives to improve living conditions, prevent dependency, and ensure active involvement among the shelter beneficiaries in Davao City, Philippines.
Insights from Insect Diversity and Functional Roles in Sorghum Pest Management: A Case Study from Northern Sumatera, Indonesia
Authors: Zuliyanti Siregar Ameilia , Tulus  , Yunilas  , Joshi Ravindra
Published: September 2024

This study, conducted in Lalang Village, Tebing Tinggi, Indonesia, from August to October 2021, aimed to investigate the insect diversity and functional roles relevant to Sorghum (Sorghum bicolor) monoculture. Employing a purposive random sampling method, we utilized four trapping techniques (yellow sticky trap, pitfall trap, light trap, and sweep net) according to standard protocols. Analysis revealed insects recorded from S. bicolor, representing seven orders (Coleoptera, Diptera, Hemiptera, Hymenoptera, Lepidoptera, Odonata, Orthoptera), 28 families, 32 species, totaling 10,022 individuals. We identified 32 species, classified into four insect functional groups: parasitoids (3 families), pollinator (1 family), predators (12 families), and pests (12 families). The Importance Value Index (IVI) values were compared among the functional groups, collectively indicating that Apis mellifera (Order Hymenoptera Family Apidae) was the most prevalent pollinator, followed by parasitoids comprising three families (Ichneumonidae, Ceraphronidae, and Tachinidae). Pest species, including Agrotis ipsilon, Helicoverpa armigera, Mythimna separata, Eublemma silicula, and Spodoptera frugiperda, exhibited the highest IVI value of 27.14%. Predators were led by Podisus maculiventris (Family Pentatomidae) with an IVI value of 9.19%. Pests dominated with an abundance of 62.09%, followed by predators (31.49%), pollinators (5.98%), and parasitoids (0.44%). The t-test results were significant across day after sowing (DAS) and different traps with scores such as t-day after sowing (t-DAS)=22.051; t-yellow sticky trap (t-YST)=12.311; t-pit fall trap (t-PFT)=10.271; t-light trap (t-LT)=12.403; t-sweep net (tSN)=12.99, where h<0.01). Biological indices indicated a low species richness (R1=2.11), high species evenness (E=0.824), and moderate Shannon-Wiener diversity score (H’=2.27). Understanding the functional roles of these insects in S. bicolor cultivation emphasizes the necessity of integrated pest management for effective pest control strategies. Our findings stress the importance of biodiversity conservation and effective management practices for sustainable sorghum cultivation in Northern Sumatera, Indonesia.
Maligay: An Iconic Tausug Traditional Token for Pagtammat in the Sulu Archipelago
Authors: Ladja Eddie , Ladja Cherry Mae
Published: September 2024

The Tausug reside in Lupah Sug (Sulu) and even in Northeastern Borneo, including parts of Indonesia and Malaysia. Historically, they were governed under the Sulu Sultanate. Today, the Tausug maintain a strong connection to their heritage, including the tradition of Pagtammat, using Maligay as an example of a valued cultural practice in rural communities in Sulu, Philippines. Maligay Pagtammat symbolizes the completion of Quranic studies by children, reflecting a strong attachment to traditional learning methods and the importance of Islamic education. It is largely unknown outside the Tausug community, particularly in Luzon and Visayas, due to limited available literature. Hence, this study explores Maligay Pagtammat among Tausug families in the municipalities of Parang, Panglima Estino, and Panamao in Sulu. Through participant observation and interviews with eight participants, all residents of the three localities with first-hand experience of the practice, descriptive thematic analysis of the data revealed the cultural significance, educational practices, and community values linked to Maligay Pagtammat among Tausug families. Despite challenges such as poverty and pastoral lifestyles, parents value Islamic education and express appreciation through this tradition. The ceremony involves extensive preparations, a procession, epic narratives, and a communal meal. Findings highlight the cultural and educational practices of Tausug families in rural Sulu, showcasing their resilience in preserving traditions amidst modernization. This study contributes to understanding Tausug identity and community cohesion through cultural practices.
The Imperative of Social Justice on the Insolvency and Workers' Wage
Authors: Nuryanto Ahmad Dwi , Kusumaningtyas Reza Octavia , Habibullo Bukhadyrov
Published: September 2024

Several laws and regulations in Indonesia govern the wage rights of workers in insolvent companies. However, there is a lack of coordination among these regulations, which affects their effectiveness. This research examines the impact of bankruptcy on worker protection within the framework of social justice principles. Utilizing normative legal research with a conceptual approach, the study reveals that bankruptcy often disadvantages employees, who are frequently placed at the end of the creditor hierarchy during the distribution of bankrupt assets. Despite the existence of various laws designed to protect laborers' rights, there is considerable overlap and inconsistency among them. Therefore, it is essential to clarify the status of employees in bankrupt companies and harmonize relevant regulations to ensure fair compensation for workers. The research also includes comparative examples from different countries. The prioritization of employee claims in insolvency cases varies according to each country's legal framework and social security system. For instance, Germany, the United Kingdom, and France exhibit significant differences in their approaches to pay priorities. These differences highlight the complex interaction between statutory priorities, social security systems, and cultural attitudes towards labor rights, which collectively influence the respective pay priority frameworks of these countries. The findings underscore the need to ensure equitable treatment of employees within global economic systems while balancing competitiveness with labor rights.
Legal Issues of Health Frontier in Two Countries: Challenges from Indonesia and Singapore
Authors: Murdi Patria Bayu , Rahimah Embong
Published: September 2024

Foreign medical personnel are needed to overcome the challenges of a shortage of medical personnel. However, the current issue lies in the ineffective regulations governing foreign medical personnel in Indonesia, which hinder the country's ability to enhance its health services. This research aims to conduct a comparative study with Singapore, which has superior health services, to examine the use of foreign medical personnel in improving the quality of health services in Indonesia. This research uses normative juridical research, employing a conceptual, statutory, and comparative approach. The research results show that, first, the utilization of foreign medical personnel in Indonesia has not been able to improve the quality of health services in Indonesia due to weaknesses in legal structure in the supervision and licensing process, the substance of regulations that do not yet provide legal protection and the condition of the Indonesian people who are not yet able to use such personnel foreign medical. Second, the Singapore government's mechanism for utilizing foreign medical personnel is easy and successful. Singapore strategically utilization foreign medical personnel to meet its healthcare needs. In addition, foreign medical personnel have several rights, including a basic salary and monthly allowances, health insurance, and income tax, which are not deducted from their pay. Therefore, Indonesia needs to adopt a policy system that is not limited to lex generalis but also becomes a guide that provides certainty in law enforcement and is not just a reference or boundary line for derivative regulations.
Research on the Application of CEEMD and CEEMDAN in Seismic Random Noise Suppression
Authors: Wang Hongran
Published: September 2024

Empirical Mode Decomposition (EMD) is an adaptive method for processing nonlinear and non-stationary data. Complementary Ensemble Empirical Mode Decomposition (CEEMD) and Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) are noise-assisted signal processing methods developed from EMD. During seismic data acquisition, various types of noise, including random noise, are inevitably captured, and current methods for dealing with such noise are limited. In this study, these two signal processing methods were applied in simulated experiments and real seismic data to suppress random noise. By analyzing the processing effects and runtime, it was found that CEEMDAN offers better processing performance and speed, making it a valuable tool for practical applications.
Inquiry into Teaching Listening and Speaking in High School English Classes Based on an Activity Perspective
Authors: Pan Junnan
Published: September 2024

This paper conducts an in-depth analysis of the issues present in current high school English listening and speaking classes and proposes corresponding improvements. Firstly, it identifies the challenges faced by high school English listening and speaking instruction, including inadequate emphasis on training listening and speaking skills by teachers, lack of operational and measurable course objectives, monotonous forms of activity organization, limitations in the use of listening materials and tools, weak connections between introductory segments and thematic content, failure to understand listening and speaking discourse based on thematic significance, neglect of teaching learning strategies, absence of learning activities in authentic contexts, and singular evaluation methods. Subsequently, a series of suggestions for enhancing teaching quality and efficiency are put forward, such as designing instruction around thematic contexts that integrate listening, speaking, reading, viewing, and writing skills; fostering the development of students’ core competencies, particularly language ability and cultural awareness; conducting comprehensive, interconnected, and practical learning activities; utilizing modern information technology to create a culturally rich learning environment; and implementing formative and multifaceted evaluation mechanisms. These improvement measures aim to enhance students’ listening and speaking abilities and cultivate them as lifelong learners with good listening and speaking habits.
AI Empowerment of Teachers' Blended Teaching Ability: An Empirical Analysis of the MATE Evaluation System
Authors: Wang Ru , Mokhtar Mazlin Mohamed
Published: September 2024

This study aims to explore the role of the MATE Multi-Assessment Teaching Evaluation System in empowering teachers' blended teaching abilities through AI. By analyzing questionnaire data from 20 teachers participating in the MATE teaching ability experiment using SPSS, the study evaluated the performance of the MATE system in teaching effectiveness, student engagement, and teacher improvement. The results showed that the MATE system positively impacted teachers' teaching abilities and students' learning experiences across multiple dimensions. This research provides data support for further optimization of the MATE system and empirical evidence for the application of AI technology in education.
Practices and Lessons Learned from the Troubleshooting and Development of County High Schools
Authors: Zhou Jiawei , Hussin Hanipah , Hu Shuoli
Published: September 2024

It is of practical significance to explore the local experiences of county high schools in getting out of the predicament of becoming "collapsed high schools" in order to promote the revitalization of China’s county high schools more effectively. The article summarizes the commonalities and differences in the experiences of typical county high schools in China that have successfully avoided becoming "collapsed high schools", and outlines three ways for county high schools to avoid "lagging behind": the policy incentive type, which is typified by policy assistance, system reform and financial support; the people-centered type, which is typified by high-quality teacher training and attention to students' needs; and the exchange and empowerment type, which is typified by articulation between universities and county high schools, and strengthening inter-school cooperation. Drawing on practical experience, some insights have been gained: to get out of the "collapsed high school" predicament, it is necessary to pay attention to the implementation of policies fostering the development of county high schools and help county high schools conduct management reform; focus on the humanistic care of teachers and enhance the sense of belonging to teaching; change the concept of teaching in county high schools and make more efforts to improve the quality of education; strengthening the construction of schools with special characteristics and improving the attractiveness of county high schools.
Application of AI-assisted Breast Ultrasound Technology in Breast Cancer Screening
Authors: Li Lijie , Li Xiaoqiang , Chen Hongna , Zhang Miaomiao , Sun Liqian
Published: September 2024

To explore the application effect of artificial intelligence-assisted breast screening ultrasound technology in breast cancer screening. Methods 170 suspected breast cancer patients who underwent breast ultrasound examination in our hospital from July 2022 to June 2024 were retrospectively analyzed, and the results of breast biopsy were taken as the gold standard by physician analysis, artificial intelligence analysis, and combined artificial intelligence analysis. To compare the application effect of ultrasonography in breast cancer screening in three ways. Results Among 170 suspected breast cancer patients, 132 were positive, 38 were negative, 113 were true positive, and 29 were true negative. Sensitivity was 85.61%, specificity was 76.32%, consistency was 83.53%, positive predictive value was 92.62%, and negative predictive value was 60.42%. There were 124 true positive cases and 33 true negative cases, the sensitivity was 93.94%, the specificity was 86.84%, the consistency was 92.35%, the positive predictive value was 96.12%, and the negative predictive value was 80.49%. The results showed that 131 cases were true positive, and 37 were true negative. The sensitivity was 99.24%, the specificity was 97.37%, the consistency was 98.82%, the positive predictive value was 99.24%, and the negative predictive value was 97.37%. Taking the results of breast puncture biopsy as the "gold standard," the diagnostic sensitivity, specificity, consistency, positive predictive value, and negative predictive value of physician-combined artificial intelligence analysis were significantly higher than those of physician-only analysis or artificial intelligence analysis. Conclusion The application of AI-assisted breast screening ultrasound technology to breast cancer screening in our hospital not only helps to realize the consistency and accuracy of early identification and diagnosis of breast cancer so that patients can get more accurate treatment but also helps to reduce the workload of radiologists.
The Impact of Digital Currencies on Economic Policy
Authors: Zhou Yixiang
Published: September 2024

In the context of the current rapid economic development, the process of accelerating digitization has become an urgent problem to be solved, and digital currency has therefore emerged. As a new type of currency, digital currency has unique advantages and unique characteristics. This article focuses on digital currency and studies the impact of the emergence of digital currency on various existing economic policies, including monetary policy, financial regulatory policy (including tax policy) and international trade policy. The article analyzes the impact of digital currency on various economic policies and clarifies the pros and cons of each aspect. It also describes the further impact of emerging digital currency types on economic policy and draws the conclusion that the impact of digital currency on the economy is two-sided. At the end of this paper, the author also puts forward opinions on the future development trend of digital currency. The government should look at the influence of digital currency comprehensively and objectively, remove the dross and select the essence, and make the right choice to promote economic development.
The Influence of Individual Differences in College English Dialogue Teaching
Authors: Wen Mingfeng
Published: September 2024

This study analyzed the impact of individual differences among students on college English conversation teaching and proposed corresponding teaching strategies. Research suggests that differences in students' language abilities, personalities, and learning styles may have a positive or negative impact on teaching. Through literature review and case analysis, the paper explores the specific impacts of these differences and proposes strategies such as personalized teaching, emotional teaching, and group collaboration to enhance teaching effectiveness. The study emphasizes the importance of teachers in adapting to individual differences among students and provides guidance for educational practitioners.
Transformation of New Quality Productivity in Enterprise Management Empowered by AI: Evolution from Automation to Intelligent Decision Making
Authors: Chen Yuhui , Li Jianfeng , Ye Rui , Song Rong , Fan Yunting
Published: September 2024

In modern enterprise management, the application of AI (Artificial Intelligence) technology is rapidly driving the transformation of productivity from traditional automation to intelligent decision-making. This article explored the background, current situation, and future development direction of this transformation, analyzed the current problems, and introduced new methods and specific cases of AI empowerment to achieve intelligent decision-making. This article studied the application effect of XGBoost algorithm in enterprise management, with a focus on evaluating its performance in improving production efficiency, decision accuracy, reducing operating costs, and improving customer satisfaction. After applying the XGBoost algorithm, the average production efficiency increased to 60 pieces, an increase of 20%; the average decision accuracy increased to 0.92; the monthly average operating cost decreased to $80000, a decrease of 20%; the quarterly average customer satisfaction score increased to 4.2 points, an increase of about 20%. From the data conclusion, it can be seen that the XGBoost algorithm has a significant efficiency improvement effect in intelligent decision support systems, providing strong technical support for the intelligent transformation of enterprise management.
Research on the Development Strategy of Wine Enterprises based on ESG Concepts
Authors: Yi Hou , Fan Yundi
Published: September 2024

In recent years, as "carbon neutrality" and "carbon peak" have become hot topics in the international community, low-carbon recycling has gradually become an indispensable element in the high-quality development of the wine industry. From the industry's perspective, actively promoting the green and low-carbon development of the wine industry is the focus of the industry's efforts.2021 In April 2021, the "Fourteenth Five-Year Plan" Development Guidance for China's Wine Industry pointed out that the wine industry should make a comprehensive transition to green ecological development, and for the first time, the "Zero-carbon Appellation" and "Zero-carbon Factory" will be developed. In April 2021, the Guiding Opinions on the Development of China's Wine Industry in the 14th Five-Year Plan pointed out that the wine industry should make a comprehensive transition to green ecological development, and for the first time set "zero-carbon production areas" and "zero-carbon factories" as the construction targets. 2022, the China Wine Association (CWA) completed the formulation of the industry standard for "green T factories" in respect of white spirits and beer, and in 2023, the CWA carried out a study on the GHG accounting methodology and reporting standards for white spirits enterprises. his paper takes Fenjiu Group's ESG practice action as the research object, through collecting and reviewing the annual reports, ESG reports, announcements on the official website of the company, media reports, ESG practice reports of related listed companies and other materials, and conducts a multi-faceted research and analysis based on the theory of strategic management of the enterprise, and puts forward the related sustainable development strategy by combining with the concept of ESG. Development strategy design based on ESG concept. Firstly, the SWOT tool is used to add the elements analyzed in the previous chapters as strategic elements to the analysis matrix of strengths, weaknesses, opportunities and threats, and the actions based on ESG concepts optimize the sustainable development while shaping the core competitiveness of Fenjiu Group; then the strategic framework is clarified; finally, the strategic safeguards of Fenjiu Group are formulated. The innovation of the thesis lies in the introduction of ESG concept in the development strategy of wine enterprises, which enriches the theoretical connotation and strategic significance of ESG, innovates the strategic mode and governance mode of sustainable development of wine enterprises, broadens the value boundary of green development, and realizes the governance optimization of diversified development, and also provides a certain reference for the same type of wine enterprises to survive the risks of the industry cycle and realize long-term development.
Study on text classification model combining BERT and convolutional neural network
Authors: Wei Jia , Sun Xiangguo
Published: September 2024

Text classification has been widely used in many practical scenarios such as sentiment analysis and topic classification, and is an important task in the field of natural language processing. In recent years, research on pre-training model based on Bidirectional Encoder Representations from Transformers (BERT) has made remarkable progress. However, at present, most studies are based on open source databases. In this study, a text classification model combining BERT model and convolutional neural network (CNN) is proposed to complete the text emotion classification task through the self-built dialect text database. This paper demonstrates the effectiveness and superiority of this model in Chinese text classification tasks by comparing experiments and performance evaluation.
Application of AI and VR Synergistic Enhancement in Employment Skills Training: A Virtual Simulation Approach
Authors: Dai Wenhao
Published: September 2024

In recent years, the rapid development of artificial intelligence (AI) and virtual reality (VR) technology has opened up new approaches in the field of education and training, especially employment skills training. This study explores the application of artificial intelligence and virtual reality collaborative enhancement technology in virtual simulation training of employment skills. It introduces a comprehensive theoretical framework, including data collection and processing, intelligent analysis using multimodal algorithms, collaborative security mechanisms for AI models, and AI-VR interaction optimization techniques. This study confirms the feasibility and validity of the framework through theoretical analysis, simulation experiments, and expert interviews. The results show that the proposed framework significantly improves the personalization and interactivity of training, ensures data privacy and system stability, and improves the efficiency of intelligent diagnosis. This study provides valuable theoretical support and innovative ideas for the deep integration of VR technology in educational training.
Innovation in Education Management and Talent Cultivation Models for New Quality Productivity: Based on Data Driven and Intelligent Teaching Management
Authors: Li Yuwen , Ding Xiaoxi , Li Jianfeng , Pan Haichu , Chen Xiajing , Fan Yunting
Published: September 2024

The rapid development of information technology and the emergence of new quality productivity, the education management and talent cultivation models that meet the needs of modern society have to be innovated. Data-driven education management combined with intelligence, is an important innovation direction that improves the utilization of teaching resources, optimizes the teaching process, and provides customized learning support for students by leveraging data analysis and intelligent algorithms, has become an important innovation direction. This paper elaborated the key concepts and principles of data-driven, intelligent-based teaching management mode, and analyzed the realization and roles of data-driven, intelligent-based teaching management mode in terms of education management, and talent cultivation. The application of intelligent teaching management model based on data has achieved positive results. Teachers have given a positive evaluation of the model proposing that it can improve the utilization efficiency of teaching resources, optimize the teaching process, and personalize the support of student learning.
Exploring the Challenges on Career Planning Education of Higher Vocational College Students in the New Era
Authors: Wu Wenjie , Sagubo Elizabeth M.
Published: September 2024

With the development of social economy and the diversification of career choices, the importance of college students' career planning has become increasingly prominent. In the college stage, the career planning education for college students is helpful to improve their cognition of the future career, clarify their career goals, and provide strong support for their future employment. This paper used qualitative methods to find out the factors influencing the effectiveness level of career planning education and the challenges faced by universities in implementing the teaching of career planning for college students. Through the research, it is found that the contemporary college students 'career planning guidance system is effective, targeted and feasible, and obtains a new way and new method of career planning for higher vocational college students' career planning education. It provides a reference for the career planning education of higher vocational college students in the new era. By trying to build the career education system for college students in higher vocational colleges in the new era, the career education is closer to the characteristics and reality of the education object, so as to make the career education more scientific and effective.
Analysis of the Situation and Causes of College Students' Physical Literacy
Authors: Huang Fuyin , Wei Jinliang
Published: September 2024

In the form of questionnaire survey, the physical literacy of the first-grade students in 6 universities in Sichuan are investigated. According to the survey results, the students' sports foundation, sports cognition and teaching content are analyzed. Combined with the progress of the sports literacy research at home and abroad, analyze the status quo of the sports literacy of the college students in Sichuan, and study the causes of the current situation of the sports literacy, and put forward the corresponding conclusions.
The Solution to the Conflict Between the Tutor and the Graduate Student, from A New Perspective to Examine the Problem and Countermeasures
Authors: Li Bo
Published: September 2024

At present, the thought of conflict management between tutors and students is mainly limited to how to eliminate conflicts, ignoring the positive functions contained in conflicts. Conflict is the norm of the mentoring relationship. Because of the heterogeneous group between tutors and students, and the unique "skewed structure" of graduate education field, the implicit conflict has become the main form of conflict between tutors and students. The conflict between tutors and students can promote the integration of the mentoring community, which is an indicator of the closeness of the mentoring relationship and plays the "safety valve" function of the mentoring community. At the same time, conflict is also an important way to achieve high-quality knowledge production and moral education. Conflict management between tutors and students should not unilaterally emphasize the elimination of conflicts, but should achieve accurate governance based on the form and function of conflicts between tutors and students. On the basis of eliminating the stereotype of conflicts between mentors and students, explicit positive conflicts should be promoted, explicit negative conflicts should be prevented, and implicit negative conflicts should be monitored.
Vegetation Cover Change in the Loess Plateau: Patterns, Driving Factors, and Impacts
Authors: Sun Yutong , Zhang Panpan
Published: September 2024

This paper reviews the changes in vegetation cover in the Loess Plateau, focusing on patterns, driving factors, and impacts. Over recent decades, significant improvements in vegetation cover have been observed, primarily due to large-scale ecological restoration projects and natural climate variability. Key drivers include precipitation, temperature, land use changes, and human activities such as reforestation. These changes have important ecological, socio-economic, and hydrological implications, including reduced soil erosion, improved biodiversity, and potential trade-offs with water availability. Understanding these dynamics is crucial for sustainable land management and ecological conservation in the region.
Application of Low-Temperature Temporary Plugging Agents in Coalbed Methane Volume Fracturing
Authors: Long Lieqian , Yang Bing , Du Junshan
Published: September 2024

Currently, unconventional oil and gas fields employ volume fracturing technology, and temporary plugging and diversion techniques have become one of the main methods for increasing production. The Mixi coalbed methane block in Yibing has a formation vertical depth of 800-1000 meters and a relatively low average formation temperature of 30 degrees Celsius. The temporary plugging agents currently in use face challenges during reservoir stimulation, including difficulty in withstanding pressure differentials, poor degradability, and significant reservoir damage, resulting in unsatisfactory implementation effects. Therefore, the water-soluble temporary plugging agent RD-1 was selected as the preferred option. Laboratory performance evaluation experiments have demonstrated that this temporary plugging agent exhibits good sealing and degradation properties. Field trials have shown good temporary plugging and diversion effects, with noticeable pressure increase during plugging and significantly improved stimulation volume. It has demonstrated good applicability in coalbed methane volume fracturing, accumulating valuable experience for efficient development of this block.
A Study on the Path of Green Finance to Promote the High Quality Development of Enterprises in the Context of Dual Carbon
Authors: Li Zhenqi
Published: September 2024

Under the dual-carbon background, China is accelerating the establishment of a sound green financial system under the green development concept and green development policy, incentivizing enterprises to accelerate their transformation and upgrading through green finance, and using ESG performance as an evaluation index for green development of enterprises, the study finds that enterprises can realize the enhancement of their enterprise value by means of green finance and improvement of their ESG ratings, so as to enhance the core competitiveness of the enterprises and achieve the high-quality sustainable and healthy development. Green finance cans significantly help enterprises improve their ESG performance and help them transform and upgrade to relieve financial pressure, thus better realizing high-quality development of enterprises. This paper will find out how green finance can help enterprises achieve high-quality sustainable development in the ESG evaluation system, and explore the realization path of green finance to promote high-quality development of enterprises, so as to help China achieve the goal of "double carbon" as soon as possible.
Design and Evaluation of a Learning Resource Recommendation System Based on Machine Learning
Authors: Li Bifeng , Cuison Lilibeth
Published: September 2024

In the era of information overload, learners are often overwhelmed by the vast amount of educational content available online. To address this challenge, we have developed a Learning Resource Recommendation System (LRRS) that leverages machine learning techniques to provide personalized learning material suggestions. The LRRS is designed to analyze learners' profiles, preferences, and learning behaviors to deliver a tailored learning experience. By employing collaborative filtering, content-based filtering, and hybrid methods, the system can predict and recommend resources that are most relevant to individual learners. This paper presents the architecture of the LRRS, the methodologies used for recommendation, and the results of its evaluation. We conducted experiments using a dataset of learners and resources to assess the accuracy and effectiveness of the system. The evaluation metrics, including precision, recall, and F1-score, demonstrate the system's ability to enhance the learning process by providing relevant and engaging content. The LRRS also includes a feedback mechanism that allows for continuous improvement of the recommendation algorithms based on user interactions. The findings of this study contribute to the field of educational technology by offering insights into the development of intelligent systems that can support personalized learning.
A Review of the Teaching Abilities for College Teachers
Authors: Yu Zhaofeng , Gopez Jose Ma W.
Published: September 2024

This review synthesizes the research content and assessment methods of national studies on teaching abilities of college teachers. Teaching ability stands as the cornerstone of a college educator's professional aptitude, serving as a fundamental facet of their internal growth, professional advancement, and societal contribution. It is imperative to fortify teaching abilities of educator’s proficiency, thereby safeguarding higher education's responsiveness to contemporary imperatives and furnishing an optimal educational milieu for student growth. This review could provide valuable guidance for colleges and universities to enhance their teaching abilities.
Reflections on the Heuristic Teaching in Xue Ji
Authors: Zhang Ningyu
Published: September 2024

Xue Ji is the earliest monograph on educational theory in ancient education in ancient Chinese education. It is the crystallization of the wisdom of the sages of ancient education in ancient times. It is the treasure of our human culture. It contains many useful experience and unique insights. The inspirational teaching principles and methods of inspiration and induction, even more than 2,000 years later, still have a great reference and revelation effect. This article briefly describes the connotation of inspiring teaching in Xue Ji, and combines the same classic inspiration thoughts in my country's "The Analects of Confucius". Two representative inspiration teaching methods in the West, and finally think about how to use inspiration teaching to our current teaching activities.
Enhancing the Pedagogy of Theory-Practice Integration in the Machining Technology and Programming
Authors: Hu Haokun , Albarina Ramos Sabrina Brineth
Published: September 2024

This study proposes innovative teaching strategies for the course of "Machining Technology and Programming", aiming to improve teaching quality and promote students' comprehensive skills development by updating teaching materials, strengthening practical teaching facilities, and introducing virtual factory software. Especially in the online and offline teaching mode, emphasis is placed on the deep integration of theory and practice, using virtual factory software to simulate real work environments to compensate for the shortcomings of physical practice bases. Teaching strategies based on students' abilities are crucial in stimulating their interest. Through process oriented evaluation, comprehensively assess students' abilities and cooperation spirit, combine information technology and Industry 4.0 background, cultivate CNC machining professionals, and meet the strategic needs of Made in China 2025. At present, there is a problem of theoretical and practical disconnection in CNC machining technology programming education. The "theory practice integration" teaching mode proposed in this study provides effective reference for promoting the improvement of undergraduate education through a cyclic process of practice and understanding.