bluuebunny/crossref_metadata_2025 huggingface dataset:
Model Pengukuran Pengupayaan Guru, Iklim Inovasi Sekolah dan Tingkah Laku Kerja Inovatif: Pendekatan Analisis Faktor Pengesahan
Authors: Mokhlis Safiek , Abdullah Abdul Hakim
Published: October 2024

Kertas ini melaporkan prosedur pengesahan model pengukuran bagi konstruk pengupayaan guru, iklim inovasi sekolah dan tingkah laku kerja inovatif. Seramai 376 guru daripada 12 buah sekolah rendah dan menengah di Kuala Terengganu dipilih sebagai responden dengan menggunakan kaedah pensampelan rawak berlapis. Data kuantitatif dikumpul melalui soal selidik tadbiran sendiri berdasarkan skala tujuh mata yang mengandungi 62 soalan. Analisis faktor pengesahan (AFP) dilaksanakan menggunakan perisian AMOS versi 24. Hasil analisis menunjukkan model pengukuran pengupayaan guru, iklim inovasi sekolah dan tingkah laku kerja inovatif yang telah dimodifikasi adalah sepadan dan boleh diterima berdasarkan indeks yang disarankan. Selain itu, AFP gabungan ketiga-tiga konstruk juga telah mencapai tahap kesepadanan model yang baik dengan nilai RMSEA = 0.049 (< 0.08), CFI = 0.945 (> 0.90), TLI = 0.938 (> 0.90) dan χ2 / df = 1.890 (< 3.0). Kesimpulannya, model pengukuran yang dibangunkan mampu mengukur ketiga-tiga konstruk dan boleh digunakan untuk kajian selanjutnya.
Amalan Pentaksiran Alternatif Digital Guru Pendidikan Islam (GPI) Di Sekolah Kebangsaan
Authors: Mohd Sukis Suhaida , Muhamad Norhisham , Borham Abd Hadi
Published: October 2024

Malaysia Ministry of Education is always taking steps forward to improve the quality of education. Among the important aspects that are focused on is the Assessment of Digital Alternatives in school management in Malaysia in line with the current digital development. Through digital learning allows students to follow the learning process flexibly without having to be tied to conventional learning hours. The purpose of Alternative Assessment is to track the level of student mastery through Assessment for Learning and Assessment as Learning which is carried out continuously in PdPc either through oral methods, written methods or observation methods. The use of digital technology in education is recommended by the Ministry of Education to ensure that the country's education moves along with modernization. The government is in the process of implementing the National Digital Education Policy as a step forward to prepare a digitally literate generation Accordingly, this concept paper aims to discuss assessment practices and methods used such as observation, writing and oral methods in digital alternative assessment. This concept paper is constructed based on a literature review of several articles related to digital alternative assessment. Based on the findings of analysis from previous studies, among the digital alternative assessment practices that teachers often use to assess students are gamification, e-portfolios, e-quiz. Applications and digital platforms used such as DELIMa, Google Classroom, Quizizz, Kahoot, Google Meet, Zoom, WhatsApp and Telegram while the use of digital technology applications among teachers creates a positive impact. Therefore, this concept paper also presents some recommendations and suggestions to improve the quality and strategy of digital assessment among Islamic Education teachers. The findings of this study can be used by parties involved in further dignifying the practice of PBD implemented digitally in the context of teaching and facilitating Islamic Education.
Questionnaire Study of Herbs Usage on Menstruation in Female Pre-University Students
Authors: Adenan Alia Maisara , Daud Nurulhaidah
Published: October 2024

Menstrual cycle and menstruation can be given definitions as both are studied biologically hence the production of many literatures throughout the years. Recently, herbal medications are used as an alternative to oral contraceptive pills (OCPs) to treat women fertility in general and several literatures can be found to prove the effectiveness of herbal medicines on menstruation. The objectives of this paper are to learn if the female pre-university students are aware of their menstrual cycle and to study the effects of herbs on menstrual cycle. This questionnaire study is conducted within a population of 108 female pre-university students by distributing a web-based questionnaire through a shortened link. Cronbach alpha test is done after transferring data in the IBM SPSS Statistics ver.25 to measure the internal consistency of a test or a scale. The result shows that only 7.41% have used herbal treatments. Further studies analysis needs to be done to identify the effectiveness of the herbal treatments used on menstrual cycle.
Teks Cerita Dalam Pedagogi Hikmah
Authors: Roslan Inas Tasnim , Zulkifli Hafizhah
Published: October 2024

Pelajar yang mempunyai kemahiran kognitif aras tinggi, kreatif dan kritis menjadi satu impian Kementeria Pendidikan Malaysia. Hal ini demikian kerana ia sudah menjadi satu keperluan yang perlu ada dalam diri setiap orang pelajar bagi mencapai kehendak pasaran global. Namun begitu, pencapaian pelajar Malaysia dalam PISA menunjukkan hal yang sebaliknya. Oleh itu, pelaksanaan program pedagogi Hikmah dalam Pendidikan semasa dapat membantu para guru dalam perkembangan daya pemikiran KBAT sekaligus mampu meningkatkan prestasi Pendidikan negara. Ia akan menggalakkan pelajar untuk berfikir secara kritis dan kreatif berdasarkan bahan rangsangan yang disediakan oleh guru dan sebaliknya. Walaubagaimanapun, teks cerita yang digunakan hendaklah berbeza daripada teks cerita biasa kerana ia mempunyai keistimewaan dan kelebihannya yang tersendiri. Oleh itu, cara pengelolaan aktiviti pembelajaran pedagogi Hikmah juga mempunyai tekniknya yang tersendiri terutamanya dalam teknik penggunaan teks cerita pedagogi hikmah.
The Benefits of Gamification in English Language Teaching and Learning
Authors: Shahidan Norshilawani , Kamarol Ariffin Muhammad Faris
Published: October 2024

Gamification in English language learning comprises of game mechanics which involve points, badges, leader boards and rewards. It is one of the approaches that has been used by the educators to change the pace of lesson in learning English. This approach has been used in the class because of the benefits that it can offer in English language learning. This paper focuses on the use of gamification in English language teaching (ELT) and learning by looking at the advantages it has brought to language skills. Gamification can be used in the teaching of the different skills in English and in terms of its benefits to English language learning, gamification makes learning more effective by making grammar learning more pleasurable, vocabulary memorisation more successful, communication and cooperation easier to be practiced and others. It is hoped that this paper will add to the literature on the applications of gamification in ELT and lead to the betterment of ELT in second language setting particularly in Malaysia.
Model Ekosistem Pendidikan Orang Kelainan Upaya: Analisa Tinjauan Dokumen
Authors: Mohd Pisol Mohd Izzuddin , Muhammad Norhisham , Rosli Hazlin Falina , Rashed Zetty Nurzuliana , Harun Zur'ain , Abdul Halim Muhammad Najib , Mohd Raus Norakyairee
Published: October 2024

Kementerian Pendidikan Malaysia (KPM) melalui Dokumen Pelan Pembangunan Pendidikan 2013-2025 (PPPM, 2013) menyatakan komitmen negara untuk menyampaikan “Pendidikan Agama yang Berkualiti Tinggi” melalui perlaksanaan kurikulum kebangsaan yang menekankan dua aspek : Dini dan Kurikulum Tahfiz. Maka, akses untuk memahami al-Quran dan Hadis menjadi matlamat utama Pendidikan Islam, tidak terkecuali komuniti Orang Kelainan Upaya (OKU). Penelitian perlu diperhalusi bagi membangunkan model ini yang didasari oleh  landskap Pendidikan Khas. Tujuan penulisan ini adalah bertujuan menganalisa keperluan empat aspek utama bagi pembangunan ekosistem pendidikan iaitu aspek pedagogi, kemahiran dan sahsiah guru, advokasi masyarakat dan hak pendidikan OKU berdasarkan tinjauan perpustakaan. Diharapkan penulisan ini akan menjadi saranan dan cadangan untuk tindakan penyelidikan selanjutnya.
The Relationship Between Chief Financial Officer Gender and Investment Efficiency
Authors: Touski Omid Farhad
Published: October 2024

Objective: This study aims to examine the relationship between the gender of the chief financial officer (CFO) and the efficiency of corporate investment, especially over-investment. Methods: The independent variable is the gender of the CFO and the dependent variable is over-investment. The research method is correlation type and multivariate regression using panel data with a logistic regression model approach. The data of manufacturing companies in the Tehran Stock Exchange has been collected from 2017 to 2021. Results: The findings of the research show that the presence of a female financial manager is significantly related to the reduction of the company's over-investment level, so gender plays a role in the economic decision-making and investment of companies. Conclusion: Female chief financial managers are more risk-averse compared to male chief financial managers and consider the interests of shareholders in the company’s economic decisions. Therefore, companies should pay special attention to gender diversity at the level of company managers in making decisions and economic investments.
Detection of virulence factors and antimicrobial susceptibility pattern of clinically significant Klebsiella pneumoniae isolates in a tertiary care hospital
Authors: Surendranath Smrithi , Sabitha-Kurup Amritha , John Reena
Published: October 2024

Introduction: Klebsiella pneumoniae is associated with a variety of infections across all age groups, both in community and hospital settings. Many strains of K. pneumoniae produce virulence factors such as a capsule, siderophores, biofilm, and hypermucoviscosity, which facilitate adhesion, invasion, and colonization. Additionally, the rising antibiotic resistance in K. pneumoniae strains poses a significant challenge, limiting treatment options. This study aims to identify the virulence factors and assess the antimicrobial susceptibility of clinically significant K. pneumoniae isolates. Materials and Methods: K. pneumoniae isolates were obtained from urine, sputum, blood, cerebrospinal fluid, pus swabs/aspirates, and tissue samples. Standard biochemical tests were performed for identification. Capsule formation, hypermucoviscosity, siderophore production, and biofilm formation were detected phenotypically. Antibiotic susceptibility testing was carried out using the disk diffusion method, and primary and confirmatory tests were conducted for extended-spectrum beta-lactamases (ESBL) and carbapenemase production. Results: Capsule formation, hypermucoviscosity, siderophore production, and biofilm formation were detected in 100%, 15%, 40%, and 15% of the isolates, respectively. Of the isolates, 40% were multidrug-resistant, 55% produced ESBL, 8% expressed AmpC beta-lactamase, and 10% produced carbapenemase. Conclusion: Capsule formation was the most prevalent virulence factor, followed by siderophore production. The majority of K. pneumoniae isolates demonstrated susceptibility to amikacin, piperacillin-tazobactam, and carbapenems. However, 40% of the isolates were multidrug-resistant, with ESBL production being the most common resistance mechanism.
Epidemiological profile of imported malaria cases in Colombia
Authors: Padilla-Rodríguez Julio C. , Olivera Mario J. , Acuña-Cantillo Luis
Published: October 2024

Despite the significant progress made in reducing morbidity and mortality in recent years, malaria remains a critical global health challenge. In Colombia, we are working towards eliminating malaria to achieve zero indigenous cases of human malaria. In this effort, it is also essential to understand the epidemiological profile of imported cases. This study aimed to determine the epidemiological situation of imported malaria cases in Colombia from 2007 to 2020. An observational, descriptive, and retrospective study used secondary sources for data analysis. A total of 7,583 imported malaria cases (0.8% of total burden) were recorded. 85% (6,507/7,583) were caused by Plasmodium vivax, and 89% (6,772/7,583) were imported from Venezuela. Imported malaria trend varied, contributing minimally to the national burden. Venezuela was identified as the main source of imported cases. These findings will contribute to improving disease surveillance and preventing the reintroduction of malaria in areas undergoing elimination.
Using Evolutionary Theory to Understand Associations Between Passive and Active Social Media Use and Well-Being
Authors: Karagiorgakis Aris , Aaron Kaylee
Published: October 2024

Although social media plays a significant role in many people's lives, some previous studies have found that social media use (SMU) can have a negative impact on well-being. Previous studies have offered theories to help explain this relationship but have not explored this link from an evolutionary perspective. In the current study, we hypothesized from the evolutionary perspective that (1) students higher on social comparison (more often female) would report more passive SMU and associated feelings of depression, and (2) status striving would be associated with higher reports of active SMU, and for those high on social status striving, active SMU would be related to poorer ratings of well-being. Eighty-four undergraduate participants received a survey on campus that they completed in 10–15 min. The survey measured self-reported SMU, well-being, feelings of depression, status striving, and social comparison. The results supported the social comparison model for passive SMU but not the status striving model for active SMU. Whereas self-reported status striving was associated with ratings of active SMU, active SMU was positively associated with ratings of well-being only for those low on status striving. It is concluded that the evolutionary perspective indicates that female students are more inclined to passive SMU, which is associated with more feelings of depression. It is argued that the evolutionary perspective deserves more attention in this field of research.
Immersive Entertainment: The Reconstruction and Value Analysis of Chinese Mythology
Authors: Li Yanni
Published: October 2024

As an integral part of Chinese culture, Chinese mythology embodies rich historical, cultural, and philosophical connotations. With the accelerated development of the cultural and creative industry, Chinese mythology, with its rich content, imagery, and narratives, has gained favor among practitioners. It is deconstructed and reshaped in contemporary contexts, showing a trend of pan-entertainment in the field of cultural consumption. The immersive real-scene entertainment industry, a nascent sector in China with just over twenty years of development, utilizes advanced technologies to create multi-sensory immersive experiences. This medium, following films, theater, and games, serves as another high-quality, high-density information dissemination channel and has unique advantages in the re-creation of original Chinese myths. This study explores the development of Chinese myths such as "The Legend of the White Snake" and "Dunhuang Feitian," analyzing immersive entertainment cases like "Seeking the Realm of Dunhuang - Digital Dunhuang Immersive Exhibition." Through textual analysis and comparative investigation, it examines the current status and future prospects of real-scene entertainment, and the historical tracing and restoration of Chinese mythology that can be achieved via the industry.
The Impact of Macroeconomic Factors on Stock Valuation
Authors: Zhang Xiaomo
Published: October 2024

The widely accepted notion that capital markets are significantly influenced by macroeconomic factors underscores the importance of examining how these factors directly and indirectly affect stock valuations. Stock prices are inherently volatile, subject to the whims of the market, yet they are expected to converge with the intrinsic value of the shares they represent. Uncovering this fair value is essential for strategic investment decisions. This review article aims to provide an in-depth analysis of the impact of macroeconomic variables on the financial performance of specific companies, using macroeconomic data to elucidate the shifts in the fair value of their shares. By focusing on Baiyunshan, a leading pharmaceutical company in China, the article illustrates the tangible effects of macroeconomic factors on stock valuation. It offers a comprehensive exploration of various evaluation models, providing investors with a robust framework to assess the intrinsic value of publicly traded pharmaceutical companies. This study not only bridges the gap in current understanding but also equips investors with the necessary tools to navigate the complexities of the capital market with greater confidence and precision.
Hardware Failure Prediction Modes Powered by Artificial Intelligence
Authors: Wang Xiaoyin
Published: October 2024

With the increase of the system scale and complexity of modern computer systems and electronic equipment, the physical components (hardware) in computer or electronic equipment are damaged, the performance is reduced or the normal operation of computer and electronic systems is greatly increased due to various reasons. Detecting and predicting hardware faults in time is the key to ensure system stability and reliability. Hardware failure prediction technology based on artificial intelligence (AI) can effectively predict potential hardware failures by analyzing historical data, monitoring equipment operating status in real time, and reducing system downtime and maintenance costs. This paper reviews the current hardware fault prediction methods based on artificial intelligence, discusses the common algorithms, technical challenges, and application scenarios, and looks forward to the future development direction of this field.
Strategic Management of Luxury Brands: A Case Study of Louis Vuitton’s Market Performance and Consumer Loyalty
Authors: Cui Liwen
Published: October 2024

This study explores the critical role of brand strategy management in the luxury goods industry, focusing on Louis Vuitton (LV) as a case study. With the continuous development of the global economy and heightened consumer expectations, competition in the luxury market has intensified. Brand strategy management, encompassing positioning, communication, maintenance, and extension, emerges as a vital competitive tool that influences market performance and consumer loyalty. This research aims to uncover the unique aspects of LV's brand strategy, its impact on market performance and consumer loyalty, and the challenges the brand faces. Through an in-depth literature review and case analysis, the study identifies key success factors of LV's brand strategy, providing strategic recommendations for other fashion brands to enhance their market competitiveness. The findings contribute to the existing literature by filling gaps in the understanding of luxury brand management and offering practical insights for industry practitioners. Additionally, the study highlights the importance of innovation and adaptation in maintaining brand prestige and relevance in an ever-evolving market landscape, emphasizing how LV's strategic decisions have solidified its position as a leader in the luxury sector. This comprehensive examination not only sheds light on LV's enduring success but also offers valuable lessons for emerging brands aiming to navigate the complexities of the luxury market.
Grade Identification of Strong-flavor Raw Liquor Based on GC-MS Combined with Spearman-KPCA Feature Extraction
Authors: Fu Ni , Tuo Xianguo , Zhang Wei
Published: October 2024

Taking different grades of strong-flavor raw liquor as the research object, gas chromatography-mass spectrometry (GC-MS) technology was used to obtain the volatile components mapping data of raw liquor, and Spearman correlation coefficient (Spearman) combined with principal component analysis (PCA) and kernel principal component analysis (KPCA) was used to realize the secondary feature extraction of the GC-MS data, and then combined with the support vector machine (SVM), extreme gradient boosting (XGBoost), and BP neural network to establish the raw liquor grades identification model, respectively. The results show that the prediction accuracy of the grade identification model based on Spearman-KPCA dimensionality reduction data is better, in which the Spearman-KPCA-BP neural network model has the best classification effect, and the accuracy of the correction set and prediction set reaches 99.44% and 96.10%, respectively. Research shows that the principal components extracted based on Spearman-KPCA secondary features can better characterize the characteristic information of different grades of raw liquor. Combined with the BP neural network model, it can effectively realize the identification of different grades of raw liquor. It is an effective method for identifying the grade of raw liquor.
How to expand the thermos cup market through network publicity and product positioning
Authors: Pan Jiashu
Published: October 2024

With the steady growth of the global stainless steel thermos cup market, social platform marketing plays a key role in enhancing brand influence and product sales. Through the study of Standly's case, this paper first describes the strategy of making thermos cups into "fashion accessories", and Stanley has achieved remarkable market expansion by increasing the attention of female consumers; Then, the actual effect of this strategy is analyzed, that is, the sales volume of its star product Quencher series has increased greatly. Finally, suggestions on using new technologies and social media marketing are put forward to meet the needs of consumers and enhance brand influence. It is concluded that continuous innovation and optimization of market positioning are the key to maintain the leading position in the competition of vacuum flask industry. Research on marketing strategy is very important for enterprises to succeed in the rapidly changing market. It can not only help enterprises identify market opportunities and optimize resource allocation, but also meet customer needs, enhance brand influence, and ultimately promote the sustainable development and growth of enterprises.
Redefining Entertainment Horizons: Epic Games and Netflix’s Quest for Future Dominance
Authors: Gao Yuqing , Min Khan Myo , Zhang Xinyue
Published: October 2024

In the rapidly evolving and ever-changing media and entertainment landscape, Epic Games, Inc. And Netflix, Inc. are seen as innovators in the industry. This paper analyzes the strategic layout of Epic Games and Netflix in the market competition, focusing on how they compete for dominance in digital entertainment. Built on its Unreal Engine and extensive gaming ecosystem, Epic Games is committed to pushing the frontiers of gaming technology and expanding into virtual and augmented reality. Netflix, by contrast, has strengthened its global leadership in streaming through continued innovation and content diversification. This article provides a thorough analysis of their business model, strategy, and required changes, and explores how these factors have helped them continue to dominate the market. Finally, the paper summarizes the trends of Epic Games and Netflix in the future digital entertainment market and evaluates their potential opportunities and risks in the global competition.
The influence of UGC features on consumers' purchase intention in social e-commerce platforms: Taking Xiaohongshu as an example
Authors: Zhang Yu
Published: October 2024

With the rapid development of social e-commerce, content-based social e-commerce platforms have become one of the main channels for consumers to obtain information. And this social e-commerce platform relies on user generated content to convey valuable information to users. The relationship between user generated content and user purchase intention is still a question worth exploring. This article starts from an empirical perspective and studies the mediating variables between UGC text features and consumer purchase intention in social e-commerce platforms. Based on speech act theory (SAT) and receptor stimulus response theory (SOR), research hypotheses are proposed, with perceived value, perceived risk, and perceived interest as mediating variables. By using AMOS to construct a structural effects equation for verification, it is concluded that UGC text features can positively affect perceived value, perceived risk, perceived interest, and have an effective impact on purchase intention.
An Application of The Theory of Planned Behaviour: Factors Influencing Parental Decision on Children Involvment in Out-Of-School Music Education
Authors: Peng Dandan , Keat Ooi Boon
Published: October 2024

In China's music education and training industry, the exploration of parents' and children's educational decisions on the demand side of the market is crucial to the healthy functioning of the music education market. The current study applies TPB theory and modelling to investigate the factors influencing parental decision-making in children's out-of-school music education participation. The study was conducted in Henan Province, China, with a sample of 650 parents from 21 music education institutions in seven cities in Henan Province. The results of data analyses showed that parental ATT, SN, and PBC all had significant positive effects on PI. PBC directly affected PD, while PI was the most significant influence on PD.
The Impact of Minimum Wage System on Low-Income Groups
Authors: Zhang Youwen
Published: October 2024

The minimum wage system sets a legal floor on the income of workers. It provides economic security for low-wage workers and ensures that their basic needs are met, thereby reducing poverty. For low-income workers, increasing the minimum wage directly enhances their earnings, living standards, and financial stability. As a research focus, the primary area of examination would be the precise effect of minimum wage adjustments on the income levels of those in low-paying jobs: analyze the changes in the real income of low-income workers after the augement of minimum salary and the improvement influence of family economic conditions. Second one is exploring the impact on this system changes employment sector: Examine whether raising the minimum wage causes employers that reduce hiring or layoffs, and the potential impact of such changes on low-skilled labor markets. The last one is analyzing the impacts of minimum wage policies of psychological and low-income groups’ social wellbeing: Using questionnaires to understand changes in the perception of low-income workers about their job satisfaction, quality of life, and social status. The rise in this system significantly rose the income level of low-income workers, helped to alleviate poverty, and raised the basic standard of living of these families. In the short term, that increase may have a certain negative impact on some labor-intensive industries, in the form of a small number of job losses; But over the longer term, the job market stabilizes as companies adapt to increased costs and improve efficiency through technological innovation.
The Impact of Industrial Robot Applications on Global Value Chains Division Position
Authors: Wang Kaiqing
Published: October 2024

This paper surveys the GVC division position across forty-five countries and fourteen manufacturing sub-sectors during the period from 1999 to 2018 to illustrate the impact of applications of industrial robots on the GVC position. The study proves that an increasing level of utilization of industrial robots significantly improves the GVC division position in the manufacturing sector. By automating repetitive and precision tasks, robots enhance efficiency and productivity, therefore allowing deeper specialization in specific stages of the manufacturing process. This technological progress allows for a more connected global production network and hence better integration into GVC. The study also evaluates the spillover effects across value chains and the moderating impact of industrial agglomeration on smart manufacturing.The empirical results show that the application of industrial robots enhances productivity and encourages innovation in related sectors, thereby driving downstream industry growth and promoting industry specialization.Despite the improvement in GVC division positions, robots also contribute to making global value chains more diversified and resilient. Flexible and adaptive manufacturing systems can adapt to disruptions, such as pandemics and geopolitical tensions, ensuring continuity in production and increasing stability and competitiveness in smart manufacturing systems.
An Analysis of the Effectiveness of Green Marketing Strategies in the NBA
Authors: Ding Yufei
Published: October 2024

The intersection of the sports industry and environmental sustainability is an area that has not been widely explored, particularly in the context of major sports leagues and professional sports in Western societies. Current research on this topic tends to be generalized and limited, failing to explore the full range of effectiveness. This study investigates the effectiveness of the NBA’s green marketing strategies in mitigating its environmental impact. By examining various initiatives related to sports and the environment, arena construction, sports production, and fan impacts, the study attempts to assess whether these efforts have actually reduced the negative environmental impacts of the NBA industry, or whether they have primarily served as marketing tools. The study examines successes and identifies areas for improvement, making recommendations for improving the NBA’s environmental sustainability and setting an example for the sports industry. This study uses literature survey and case study methodology to investigate, collect cases and critically analyze the environmental impact of the NBA industry and in developing green marketing practices. The aim is to assess the perspectives and limitations that are not widely scrutinized now and provide recommendations for the NBA’s sustainability path in the future.
Application and Empirical Analysis of Random Volatility Model in Financial Markets
Authors: Cheung Ko To
Published: October 2024

The Stochastic Volatility Model (SVM), as a key innovation in modern financial engineering, has profoundly changed our understanding of the volatility characteristics of financial markets. This model not only considers the volatility of asset prices as a time-varying random variable, but also simulates this uncertainty by introducing stochastic processes such as Brownian motion or more complex stochastic differential equations, thereby achieving a precise characterization of the dynamic characteristics of volatility. Compared to traditional fixed or historical average volatility assumptions, SVM can capture sudden changes in market sentiment, the impact of news events, and the influence of macroeconomic factors on volatility, providing investors with a more realistic perspective on the market. This article not only deeply analyzes the theoretical basis and construction methods of SVM, but also verifies its effectiveness and applicability in different financial market environments through empirical analysis and actual market data, providing valuable references and insights for financial practitioners, scholars, and policy makers.
The Significance and Practical Exploration of Financial Investment Management in Enterprise Operation and Management
Authors: Jin Shengcan
Published: October 2024

Enterprises can carry out financial investment activity management, and through institutional control, risk prevention and other methods, ensure the stability of financial investment activities, enhance their own risk resistance ability, and provide support for the healthy and long-term development of enterprises. Based on this, this article briefly analyzes the significance and value of financial investment management in enterprise operation and management, elaborates on the current overview of enterprise financial investment management, and explores in depth the path of financial investment management in enterprise operation and management.
Summary of Wireless Charging Technology for Electric Vehicles
Authors: Xue Wentao
Published: October 2024

The rapid popularity of electric vehicles has promoted the rapid development of wireless charging technology. This paper reviews the current research progress and application status of wireless charging technology for electric vehicles. Inductive coupling, magnetic resonance coupling and non-directional radiofrequency radiation, three main wireless power transmission methods, including their principles and advantages, are introduced. In addition, the practical application of the technique, such as near field application and far field application, is also discussed. Finally, the development direction of wireless charging technology for electric vehicles in the future is looked forward, including the key technical paths of optimizing system design, improving energy transmission efficiency and reducing system cost. In summary, this paper aims to provide comprehensive theoretical support and practical guidance for the research and practice of wireless charging technology for electric vehicles.
Assessing the Effects of Chinese Foreign Direct Investment on Green GDP Development in North and South American Regions
Authors: Zhang Weiran , Yu Sichen
Published: October 2024

This study aims to investigate the impact of foreign direct investment (FDI) on the growth of green GDP (GGDP) in North America and South America. The research is based on a comprehensive dataset covering the period from 2009 to 2019, drawn from multiple countries. By employing a two-way fixed-effects model, the study analyzes the effects of key factors, including FDI, trade openness, economic development level, urbanization level, population size, and industrial structure on GGDP growth.The findings indicate that, in North America, both FDI and the level of economic development exert a significant positive influence on GGDP growth, whereas trade openness demonstrates a negative impact, suggesting that increased trade activities may exacerbate environmental pressures. In South America, while the level of economic development shows a significant positive correlation with GGDP, the effect of FDI is not statistically significant. The study recommends that policymakers focus on enhancing the effectiveness of foreign investment and implement stricter environmental protection policies to ensure that trade activities do not adversely affect the environment. Furthermore, there is an urgent need to adjust the current industrial structure to promote a transition toward more sustainable development models. Ultimately, this research emphasizes the importance of ensuring environmental sustainability while fostering foreign investment and economic growth to achieve long-term growth in green GDP.
Examining Filipino Popular Piety in the light of Vatican II’s Directory of Popular Piety and the Liturgy: Principles and Guidelines
Authors: MAICOM KEVIN
Published: October 2024

Celebrating popular piety in different regions reflects the vibrant, diverse, and festive culture of the Philippines. The innumerable religious practices through rites and ceremonies show the intensity and vibrance of Filipino Catholic spirituality. It is part of theheritage and unique identity of the Filipino Catholic Church to the extent that it also impacts the local liturgical calendar. Given this distinctive characteristic of popular piety, finding its harmony with the liturgy is challenging. The focus on the ritual aspect of popular piety diverges from orthodoxy, raising conflict between its praxis and Church teachings, which allows for misinterpretation and syncretism. This paper will employ a descriptive research design to assess the reception of Vatican II’s Directory of Popular Piety and the Liturgy: Principles and Guidelines (DPPL), using the method of critical reflection. It comprehensively analyzes the reception of DPPL and its profound impact on Catholicism in the Philippines. This study aims to establish an understanding of popular piety as a valid form of worship through analysis and evaluation of the process of inculturation to foster a deeper understanding and appreciation of these practices. It enriches theological discourse on the realm of inculturation, which leads to the preservation of cultural heritage and the understanding that popular piety is an encounter of evangelization and culture that should be treated with profound respect and mutual understanding.
La dirección del trabajo y la Organización Internacional del Trabajo
Authors: Bueno Carmen ,   International Labour Organization,   ILO DWT and Country Office for the South Cone of Latin America
Published: October 2024

Con ocasión del primer centenario del nacimiento de la Dirección del Trabajo, este documento se propone hacer un recorrido por su relación histórica con la Organización Internacional del Trabajo así como la influencia y retroalimentación producida entre ambas a favor del trabajo decente y la justicia social.
Endometriosis at the level of uterine isthmocele: Case report
Authors: Calle Dennis , Suarez Luis , Ramirez Luis
Published: October 2024

An isthmocele is a reservoir-type defect in the fornix of the cul-de-sac in the anterior wall of the isthmus at the site of the previous cesarean scar. It’s appearance is related to the accumulation of menstrual blood flow through the cervix and with the presence of fibrotic tissue and pelvic pain. We present the case of a 33-year-old patient, with a history of a cesarean section 2 years ago, who presents for preconceptional counseling complaining of abnormal uterine bleeding and dysmenorrhea since surgery. In imaging studies, she was diagnosed with uterine isthmocele, with minimal remaining tissue, a combined hysteroscopic and laparoscopic repair was performed. Endometriosis was identified in the istmocele scar tissue.
Computational analysis of Allium sativum compounds to identify thermolabile hemolysin inhibitors against Vibrio alginolyticus in shrimp
Authors: Bari Sayed , Reza Nafees , Marma Meamaching , Ahmed Sk , Hussain Md , Jabed Md , Hossain Md , Manzoor Maria , Alam Md
Published: October 2024

Vibrio alginolyticus is one of the major disease-causing bacteria in shrimp aquaculture. The widespread use of antibiotics in shrimp aquaculture to treat bacterial diseases has raised concerns about antibiotic resistance. As a result, alternative treatments, such as plant extract phytochemicals are being explored to mitigate these risks. This study aims to identify promising biologically active compounds from garlic (Allium sativum) that can inhibit the virulent protein thermolabile hemolysin of V. alginolyticus, which causes shrimp vibriosis. Various computational approaches, including molecular docking, pharmacokinetic analysis, and molecular dynamics simulation, were conducted to predict the compounds that can inhibit the phospholipase and hemolysis activities of the thermolabile hemolysin protein. Out of thirty-five compounds from A. sativum, protopine (CID 4970), gibberellin A7 (CID 92782), and gibberellic acid (CID 6466) demonstrated the strongest binding affinities, with scores of -9.4, -8.0, and -7.4 kcal/mol, respectively. Pharmacokinetic and toxicity analyses showed favorable drug-like properties for gibberellin A7 and gibberellic acid with no violations. Molecular dynamics simulations demonstrated that gibberellin A7 and gibberellic acid exhibited the highest stability over 100 nanoseconds. The investigation shows that gibberellin A7 and gibberellic acid from A. sativum have the potential to inhibit the virulent activity of thermolabile hemolysin. However, the study needs further in-vitro and in-vivo analysis to test our predicted results.
CURATING DATASETS TO ENHANCE SPYWARE CLASSIFICATION
Authors: Mimi Mousumi , Ng Hu , Yap Timothy
Published: October 2024

Current methods for spyware classification lack effectiveness as well-structured datasets are typically absent, especially those with directionality properties in their set of features. In this particular research work, the efficacy of directionality properties for classification is explored, through engineered features from those on existing datasets. This study curates two datasets, Dataset A which includes features extracted from only single directional packet flows, and Dataset B which includes those from bi-directional packet flows. Classification with these features is performed with selected classifiers, where SVM obtained the highest accuracy with 99.88% for Dataset A, while the highest accuracy went to RF, DT, and XGBoost for Dataset B with 99.24%. Comparing these results with those from existing research work, the directional properties in these engineered features are able to provide improvements in terms of accuracy, in classifying these spywares.
生成式人工智能工具 ChatGPT 浪潮下中文教学的应用
Authors: Hằng Vũ Thu , Nhàn Đoàn Thị Thanh
Published: October 2024

自从生成式人工智能工具ChatGPT问世以来,在教育及学术领域中已经掀起一股AI热潮并产生了显著的推动作用。以OpenAI官网的ChatGPT作为代表此工具可以进行自然语言的对话交互（即具有内容生成能力）并生成细节资讯（即具有详细的解答功能），在学术研究及教学应用中已然成为一个新的领域。生成式人工智能工具 ChatGPT可以向教师提供各种诸如创建评估测试题，提供教师授课时的讲解材料，提出教学思路及建议，帮助教师生成教案以及准备课件等各种有益工具。本文首先着重于探讨 ChatGPT生成式人工智能工具各应用对于帮助教师在中文教学及教案设计过程中提供的相应帮助，其次阐释了在使用 ChatGPT 生成式人工智能工具时的各个注意事项及运用此工具的一些局限性。最后，提出中文教学依托ChatGPT实现科学求变的五条策略，以助力其构建“人机协同”的智慧教育生态，推动中文教育高质量发展。
Pelagisk fisk i Vänern 2023
Authors: Rogell Björn , Axenrot Thomas
Published: October 2024

Sötvattenslaboratoriet vid Institutionen för akvatiska resurser, SLU, genomförde mellan 2023-08- 15 och 2023-08-22 en hydroakustisk undersökning i Vänern, uppdelad i fyra delområden. Undersökningen är en av de årliga hydroakustiska undersökningar som utförs i Mälaren, Vänern och Vättern. De delområden som undersöktes var Dalbosjön Nord (DS N), Dalbosjön Syd (DS S), Värmlandssjön Nord (VS N) och Värmlandssjön Syd (VS S). Det var möjligt att analysera beståndstrender för fem kombinationer av art- och åldersklasser (nors >0+, nors 0+, sik, siklöja >0+ och siklöja 0+). Beståndstrender för årsyngel av siklöja (0+) undersöktes även genom förekomster i tråldrag. Jämförelser över tid utfördes genom att jämföra medelvärdet för de senaste två åren (2023 och 2022), med medelvärdet för en referensperiod bestående av de fem föregående åren (2017- 2021). Detaljerade resultat ges endast för sik, siklöja och nors då övriga arter inte fångades i tillräckliga antal för bedömning av bestånden. • Sett till antal fiskar bestod det pelagiska fisksamhället i augusti till 73 % av små bytesfiskar (<81 mm), dessa bestod huvudsakligen av årsyngel av nors. • Antalet stora fiskar har ökat i både Dalbosjön och Värmlandssjön. • Det finns tendenser till att den totala biomassan har ökat i både Dalbosjön och Värmlandssjön. • Nors dominerade både till antal och biomassa, och utgjorde 98 % av antalet fiskar och 58 % av den totala biomassan. Norsbeståndet har varit relativt stabilt en längre tid. • Siklöjan har 2020-2023 haft årlig god rekrytering i Värmlandssjön Syd. Beståndet av 1-årig och äldre siklöja visar en ökande trend i Värmlandssjön Nord. I Dalbosjön har beståndet inte ändrats över tid. • Sikbeståndet har tidigare ökat i Vänern, främst i norra Dalbosjön, men denna ökning har avstannat.
Pelagisk fisk i Vättern 2023
Authors: Rogell Björn , Axenrot Thomas
Published: October 2024

Sötvattenslaboratoriet vid institutionen för akvatiska resurser, SLU, genomförde hösten 2023 en hydroakustisk undersökning med provtrålning i Vättern. Fältarbetet genomfördes mellan 2023-09- 06 och 2023-09-09 som en del av de hydroakustiska undersökningar som årligen utförs i Mälaren, Vänern och Vättern. I undersökningen delades Vättern in i fyra delområden (Norra (N), MellerstaNorra (MN), Mellersta-södra (MS) och Södra (S) Vättern). Analyserna av 2023 års data omfattade de pelagiska bytesfiskarna nors och siklöja, uppdelade på åldersklasserna årsyngel (0+) samt ettåriga och äldre (>0+) som underlag för bedömning av rekrytering respektive beståndsstorlek. För att dra slutsatser om beståndens utveckling jämfördes medelvärdet för de senaste två åren (2023 och 2022) med medelvärdet för de föregående fem åren (2017-2021). Analyserna inkluderade endast siklöja och nors då övriga arter inte fångas i tillräckliga antal. Rapporten avslutas med förslag på fortsatt arbete. Resultaten indikerade att: • Antalet ettåriga och äldre siklöjor har stabiliserats efter en tidigare ökning. Detta beror på att effekten av den mycket starka rekryteringen 2021 nu börjar avta. De senaste tio åren har rekryteringar av siklöja skett oftare än vad som tidigare varit typiskt för Vättern. • Siklöja var den art som utgjorde högst andel av biomassan i öppet vatten (46 %), följt av sik (27 %) och nors (20 %). • För de senaste två åren fanns en tendens att antalet fiskar per hektar för storlekarna 44- 81 mm och >388 mm ökat jämfört med föregående fem år. Anledningen till ökningen är de höga antal som observerades 2022. Det pelagiska fisksamhället i september 2023 bestod till 74 % av små bytesfiskar (<81 mm), huvudsakligen årsyngel av nors. • Biomassa och antal av stora fiskar var på normala nivåer 2023, jämfört med de mycket höga värden som detekterades 2022. • För hela sjön fanns en ökning av antalet nors 0+ per hektar jämfört med föregående fem år.
Study on the Application of Learning Community in Translation Teaching for English Majors
Authors: Wang Liping
Published: October 2024

Learning Communities(LCs) have been applied widely in teaching due to their potential impact on learning outcomes and motivation. Driven by the need for highly qualified and skilled future professional translators, translation teaching for English majors has always been the research focus in the research community. However, traditional translation teaching modes have time, assessment, and outcomes restrictions. In this context, this study drafted an appropriate design of LCs in translation teaching for English majors and explored its feasibility and effectiveness. It adopted tests, questionnaires, and interviews to examine the effects of LCs on students' translation proficiency, knowledge of translation, and perceptions of LCs. Employing group comparisons of tests and questionnaires as well as a summary of interviews, this study found that translation teaching in LCs enhanced learners' translation proficiency and knowledge of translation. Meanwhile, the learners’ satisfaction with the experimental teaching was quite high. Also, this study offers a range of recommendations for optimizing the application of LCs. These recommendations serve as valuable guidance for harnessing the full potential of LCs to achieve educational goals.