bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALISIS KOMPETENSI SDM DI ERA INDUSTRI 5.0
Authors: Hadari Ita Renita , Sari Sakti Essy Malays , Marnis Marnis
Published: January 2025

Penelitian ini bertujuan untuk mengidentifikasi kompetensi teknis yang diperlukan di Era 5.0, menganalisis faktor-faktor yang mempengaruhi pengembangan kompetensi teknis dan mengetahui tantangan terbesar yang dihadapi oleh SDM dalam upaya mengadopsi dan mengembangkan kompetensi teknis terkait teknologi digital. Data dianalisis dengan menggunakan metode campuran atau metode kuantitatif dan kualitatif. Instrumen yang digunakan untuk mengumpulkan data menggunakan kuesioner  untuk mengukur  persepsi SDM terkait kompetensi teknis dan faktor-faktor yang mempengaruhinya. Hasil penelitian memperlihakan bahwa bahwa 75% responden menilai bahwa keterampilan dalam mengolah data besar (Big Data), 68% responden menyatakan bahwa pemahaman tentang konsep dan aplikasi AI menjadi salah satu keterampilan teknis utama yang dibutuhkan. Sebanyak 62% responden menyatakan bahwa pemahaman dan keterampilan dalam menggunakan perangkat IoT sangat penting dalam pekerjaan mereka,. Dalam bidang keamanan siber (cybersecurity). hasil kuesioner memperlihatkan 70% responden menilai bahwa kompetensi dalam bidang keamanan siber (cybersecurity) sangat penting, Pada Pengembangan perangkat lunak memperlihatkan 58% responden mengakui bahwa keterampilan dalam pengembangan perangkat lunak atau setidaknya pemahaman dasar tentang pemrograman menjadi kompetensi teknis yang dibutuhkan. Sebanyak 66% responden menilai bahwa keterampilan dalam mengintegrasikan berbagai sistem teknologi dan memanfaatkan otomasi untuk meningkatkan efisiensi operasional sangat penting. Faktor-faktor yang mempengaruhi pengembangan kompetensi teknis yaitu: Akses terhadap Pelatihan dengan rerata 72.3 % sedangkan faktor dukungan organisai sebesar 64.7%, Hal ini menandakan bahwa faktor akses terhadap pelatihan memberi pengaruh yang lebih besar dibandingkan dengan dukungan organisasi.
Perancangan Media Pembelajaran Pengenalan Bangun Ruang Menggunakan Augmented Reality
Authors: Pratama Yoga Putra
Published: January 2025

Computer vision technology is one of the branches of artificial intelligence that is growing very rapidly. Many technology-based products can be produced using computers. One of them is augmented reality technology. The potential of AR in the world of education can be a breakthrough in interactive multimedia learning that motivates students to learn This research uses a development model or in English called Research and Development (R&D). From the analysis, it was decided to use Unity 3D and Vuforia SDK. Augmented reality (AR) often combines the real world, the virtual world, and 3D elements. The objects used can be 2D or 3D, and the objects are projected directly into the real world. that the AR system has three main components, namely the tracking system that determines the position and orientation of real-world objects. The graphics system uses the information provided by the tracking system to represent the virtual image in the appropriate location, such as on a real object. The display system is then a display system that combines the real world with virtual images and transmits the results to the userAugmented Reality (AR) that has been developed is capable of displaying 3-Dimensional shapes of building a space that is very similar to real shapes. This research successfully developed an application using spatial markers with Vuforia technology, and Unity 3D
Deteksi Kesegaran Ikan Nila Menggunakan Convolutional Neural Networks Berbasis Citra Digital
Authors: Nafi Zaky Luthfirana Roihan , Muh. Syarif Hidayatullah
Published: January 2025

This study aims to detect the freshness of tilapia using Convolutional Neural Networks (CNN) based on digital images. The process begins by collecting images of tilapia in various freshness conditions, then continues with data preprocessing to ensure optimal data quality for model training. The CNN model is developed and trained using processed images, and then its performance is evaluated using metrics such as accuracy, precision, recall, and F1-score. The results showed that CNN was able to detect visual changes in the fish's eyes, such as color and texture, so that it could distinguish fresh and non-fresh fish with good accuracy. This study shows the potential of CNN in improving the efficiency and accuracy of tilapia freshness detection, which can be applied in the fishery industry to improve the quality and safety of fish products.
Etika Profesi dalam Lingkup Manajemen Keuangan
Authors: Axeldy Rizkiko , Seno Hananto
Published: January 2025

This research aims to inform about the importance of business professional ethics in the financial sphere. This research was carried out using a library research method based on the opinions of experts regarding professional ethics in the financial sphere. Financial management is a complex process that requires a high level of professionalism. In this context, professional ethics play a crucial role in ensuring the sustainability and success of the organization. Professional ethics in financial management refers to the principles that govern behavior in strategic financial decision-making. Integrity, honesty, and public interest are the main focus in the application of this ethics. The importance of professional ethics in financial management to maintain honesty and transparency in financial decision-making, as well as prevent fraud that can harm the organization.
Revitalisasi limbah tekstil: Pengembangan serat komposit berkelanjutan dari baju bekas
Authors: Putra Arya Rahmadi , Karim Farhan Sajidan , Hamid Muhammad Akram
Published: January 2025

In the era of globalization and the rapid growth of the fashion industry, significant environmental sustainability challenges arise due to textile waste accumulation. This manuscript proposes an innovative concept for the revitalization of textile waste through the development of sustainable composite fibers from used clothing. Utilizing theoretical approaches and literature analysis, this paper explores the potential of textile waste as a raw material source for creating composite fibers, which, until present, predominantly rely on limited natural resources. The discussion in this paper encompasses several aspects, including the process of selecting and transforming used clothing into fibers, the development of composite materials, and the potential applications of the resulting sustainable products. Additionally, an examination of the economic, environmental, and social aspects of this initiative demonstrates that the revitalization of textile waste offers a holistic solution not only in mitigating environmental impacts but also in promoting a circular economy and product innovation. The main conclusions drawn underscore the benefits of this approach and call upon stakeholders in the textile industry to view waste as a resource, aligning with global efforts towards a more sustainable future.
Aplikasi agens hayati kombinasi liquid smoke untuk pengendalian penyakit busuk buah kakao
Authors: Sianturi Lira Sonia , Sitepu Denny Rahmad , Surapati Faradise Puan
Published: January 2025

The low production of cocoa plants is caused by attacks from the pathogen Phytophthora palmivora, which leads to cocoa pod rot. This can be controlled using biological agents (rhizobacteria, and Trichoderma sp.) combined with liquid smoke, which aids in disease management. The research aimed to control P. palmivora using these biological agents with different liquid smoke concentrations. A quantitative approach was employed, with in-vitro and in-vivo tests using four samples per treatment. The observed parameters included disease infection rate and disease diameter progression. The data were then tabulated and analyzed descriptively. Results consistently showed that combining biological agents with 3% liquid smoke provided the most effective control of P. palmivora, outperforming other treatments, including controls. To improve resistance to cocoa pod rot and boost production, applying this combination is recommended. Further research should be conducted to test the consistency of these results in various cocoa cultivation areas in East Kalimantan.
Data science: Building visual understanding
Authors: Nugroho Agung Yuliyanto
Published: January 2025

Data science is rapidly evolving and plays a vital role in a variety of fields, from business to healthcare. However, the complexity of the data generated often makes it difficult for stakeholders without a technical background to understand. Data visualization is here to bridge this gap, enabling complex information to be translated into more intuitive and understandable graphical representations. Through effective visualization, patterns, trends, and insights hidden in data can be identified more quickly, facilitating better and faster decision-making. This article explores the critical role of visualization in data science, discussing the key techniques used to transform raw data into informative visualizations. It will also discuss how choosing the right visualization can help uncover relationships between variables, facilitate predictive analysis, and support in-depth analytical processes. By integrating visualization into the data science workflow, we can not only accelerate understanding but also improve communication between technical and non-technical teams. Ultimately, visualization is not just a supporting tool, but a core element that helps transform data into valuable insights.
Sonut (Soil Nutrition): Inovasi deteksi tanah cerdas untuk pertanian presisi masa depan
Authors: Anwar Alif Faisal , Kamilah Afifah Yasmin
Published: January 2025

Agriculture plays a vital role in ensuring food security and supporting national economies. Amid global challenges such as climate change, rapid population growth, and the need for increased food production efficiency, technological innovation in agriculture is essential. One critical issue in this sector is the inability to accurately assess soil conditions affecting crop growth, leading to inefficient fertilizer use and negative environmental impacts. Soil quality is compromised by excessive fertilizer application and climate change, which also hinders farmers’ access to advanced technologies. The "SoNut" (Soil Nutrition) innovation emerges as a solution, equipped with sensors to detect and analyze soil quality based on parameters such as pH, moisture, temperature, electrical conductivity (EC), and nitrogen content. The IoT-based system sends real-time data to the cloud for accurate analysis. SoNut enables automatic identification of soil types—such as ex-mining or peat soil—providing tailored crop recommendations. Additionally, it visualizes soil quality changes across locations, empowering farmers to make informed decisions in land management, ultimately enhancing agricultural productivity and sustainability.
Analisis pengurangan emisi karbon melalui inovasi perancangan rooftop garden di lingkungan perkotaan
Authors: Balqis Putri , Wulandari Riski , Zulfandi Muhammad
Published: January 2025

Reducing carbon emissions is a crucial undertaking in tackling global climate change. A variety of approaches are used to reduce the increasing carbon emissions caused by industrialization and economic growth, especially in urban areas. A growing trend that could be adopted is the establishment of rooftop gardens in urban areas. This paper seeks to critically examine a range of literature review that specifically investigate the environmental advantages of rooftop gardens, with a particular emphasis on their potential to mitigate carbon emissions. The study was conducted by studying and reviewing diverse sources pertaining to the implementation of rooftop gardens in mitigating carbon emissions. Research in the field of literature indicates that rooftop gardens possess significant capacity to mitigate carbon emissions and effectively address the obstacles posed by climate change. Successful installation of a rooftop garden necessitates meticulous planning and a profound comprehension of environmental and technological aspects. Hence, rooftop gardens offer not only an environmentally friendly alternative, but also yield substantial economic and social advantages. Rooftop gardens enhance CO2 absorption, lower surface temperatures, and decrease building energy needs by improving thermal insulation. In addition to that, this green area also contributes to the enhancement of air quality and urban biodiversity. This review identified numerous designs and best practices that can optimize the ecological and economic advantages of rooftop gardens. The analytical results also indicate the possibility of incorporating rooftop gardens into urban planning, which could serve as a viable approach to reducing climate change and enhancing the urban quality of life.
Integrasi Botol Kaca Hancur Sebagai Agregat Dalam Pembuatan Paving Blok Ramah Lingkungan
Authors: Masduqi Iqbal Prihandana , Pratama Ihza Adha Yaza Putra , Maulana Muhammad Adrian
Published: January 2025

This paper titled "Integration of Crushed Glass Bottles as Aggregate in the Production of Environmentally Friendly Paving Blocks" explores the fusion of aesthetic value and sustainability through the use of crushed glass bottles in paving block production. Capitalizing on glass waste, this paper proposes an innovative and ecological approach to the building materials industry. With a focus on reducing waste and promoting a circular economy, the detailed study reveals the capability of glass aggregates to produce products that are not only strong and durable but also aesthetically appealing. The paving blocks made with glass aggregate support the expected structural strength while also exhibiting unique surface beauty, creating the potential for widespread use in sustainable and eco-friendly construction projects. This paper takes a holistic view, emphasizing the social, economic, and environmental implications of using recycled glass, while offering fresh perspectives in the development of greener construction materials
EFFECTS OF TAX COMPLIANCE DETERMINANTS ON TAX EVASION IN NIGERIA: AN EMPIRICAL INSIGHT
Authors: SANI ALFRED ILEMONA
Published: January 2025

Tax evasion is an illegal activity common in the Nigerian environment, especially among operators in the informal sector of the economy. It is for this reason that measures have been put in place by the government to motivate compliance of taxpayers with relevant tax laws in Nigeria. However, there are contradictory views regarding the effectiveness of the compliance measures. The study, therefore, seeks to examine the effects of the tax compliance determinant on tax evasion in Nigeria. The study employed a survey design research approach to achieve the stated objective. A quantitative method was used where data were collected using a structured questionnaire from a sample of Small and Medium Enterprises (SMEs) operators in six states in North-eastern, North-central zones, and Federal Capital Territory (FCT) Abuja. The reliability and viability of the measuring instrument were done using Cronbach’s Alpha and Kaiser-Meyer Olkin (KMO) tests. Tax Morale (TM), Tax Education (TE), Tax Holiday (TH), and Tax Deterrent (TD) are explanatory variables while Tax compliance (TC) is the response variable. The analysis of the data was done using multiple regression.  The result showed that while TM, TE, and TH have positive impact on the TC behaviour of taxpayers that of TD was negative. The study recommended that government should use tax compliance factors such as TM, TE and TH rather than punitive TD measures that triggers alienation of taxpayers instead of compliance.
EFFECT OF AUDIT COMMITTEE INDEPENDENCE AND GENDER DIVERISTY ON SUSTAINABILITY REPORTING DISCLOSURE OF QUOTED INDUSTRIAL GOODS COMPANIES IN NIGERIA
Authors: Ojo Lukman Olatunji , Fasua Kayode Olusola , Yusuf Abdullahi Abdulsalam
Published: January 2025

This study examined the effect of audit committee independence and audit committee gender diversity on sustainability reporting disclosure of quoted industrial goods companies in Nigeria. The study adopted ex-post facto research design. Secondary data were collected from the annual reports of all the 13 industrial companies for a period of ten years from 2010 to 2019. Descriptive statistics and multiple regression were employed for Data analysis. The result revealed that audit committee independence has positive and significant effect on sustainability reporting disclosure while audit committee gender diversity has insignificant and negative effect on sustainability reporting disclosure of industrial goods companies in Nigeria. Based on the research findings the study recommended that the Nigerian corporate business most especially industrial goods companies should consider increasing the number of independent directors on the board because this will contribute to improving corporate sustainability disclosure and consequently reduce information asymmetry, which not only clarifies the conflicts of interests between shareholders and management but also makes management more accountable.
La estimulación sensorial en el desarrollo de la motricidad fina en niños de 2 a 3 años
Authors: Tumbaco Clemente Jennifer Solange , Moncayo Alvarado Karellys Aylin , Tumbaco Clemente Marian Betzabet
Published: January 2025

Este estudio analiza cómo las actividades sensoriales y grafo plásticas contribuyen al desarrollo de la motricidad fina en niños de 2 y 3 años. Se implementan dinámicas que incluyen el uso de materiales reciclables, pintura y tareas de manipulación, promoviendo la coordinación ojo-mano, la precisión y la creatividad. Los niños de 2 años muestran inicialmente algunas dificultades para controlar sus movimientos, pero mejoran progresivamente a medida que practican. Por su parte, los niños de 3 años realizan movimientos más coordinados y precisos, evidenciando un desarrollo más avanzado de sus habilidades motrices. Las entrevistas con los padres complementan los resultados, destacando avances en la autonomía de los niños, como en el uso de utensilios o en la capacidad de abotonar la ropa. Los resultados subrayan que estas actividades no solo favorecen el desarrollo motriz, sino que también estimulan la creatividad, la cognición y el bienestar socioemocional, consolidando su papel fundamental en el desarrollo integral infantil.
Tumeur rhabdoïde de localisation rare : A propos d’un cas
Authors:   Département de Médecine interne, CHU Ibn Rochd, Casablanca, Maroc, Lassouli Israa , Moudatir Mina , Echchilali Khadija , El Kabli Hassan
Published: January 2025

La tumeur rhabdoïde maligne est un sarcome pédiatrique rare et très agressif pouvant affecter les tissus mous, les reins et le système nerveux central chez les enfants de moins de 3 ans. L’atteinte primaire de ce dernier système représente 65 % des cas et prend le nom de tumeur rhabdoïde tératoïde atypique.
Cette entité, définie par une morphologie caractéristique et l’inactivation biallélique du gène suppresseur de tumeur hSNF5/INI1. Leur rareté et leur pléomorphisme morphologique en rendent le diagnostic souvent difficile. L’usage de l’anticorps anti-INI1 (anti-SMARCB1) est un outil de grande valeur diagnostique. La recherche de délétion en 22q11.2 et le séquençage du gène hSNF5/INI1 dans la tumeur restent toutefois indiqués tant pour confirmer le diagnostic que pour orienter vers une possible mutation germinale.
Ces tumeurs sont dotées d’un très mauvais pronostic avec une médiane de survie de 6 à 11 mois. Aucun protocole thérapeutique actuel n’a pu démontrer son efficacité.
Unexpected giant Sinonasal Osteoma Following Surgery for Chronic Rhinosinusitis with Polyps: A Case Report
Authors:   Department of Otolaryngology, Head and Neck Surgery, Ibn Rochd University Hospital, Casablanca, Morocco, Moujrid Sara , Jabri Meriem , Loudghiri Meriem , Bijou Walid , Oukessou Youssef , Rouadi Sami , Abada Redallah , Roubal Mohamed , Mahtar Mohamed
Published: January 2025

Osteomas are the most frequently observed benign bone tumors of paranasal sinuses. These slow-growing, benign tumors are often asymptomatic and typically discovered incidentally on radiological exams conducted for unrelated complaints. However, their potential for significant complications arises when they grow to a size or position that impacts adjacent structures. Large osteomas may obstruct sinus drainage, leading to secondary infections such as chronic sinusitis, or extend into the orbit or intracranial space, causing symptoms like proptosis, diplopia, vision loss, headaches, and even cerebrospinal fluid leaks in cases of dural invasion. Intracranial extension, while rare, can lead to serious complications, including meningitis, brain abscess, and mucocele formation. This article presents a 70-year-old male with recurrent chronic rhinosinusitis and nasal polyps, who had undergone functional endoscopic sinus surgery three years prior. At follow-up, the recurrence of nasal polyps was observed alongside a newly developed ethmoidal osteoma. Cases like this underline the importance of regular postoperative imaging, especially in patients with recurrent sinonasal issues, as osteomas can develop post-surgically. Some studies suggest that local factors such as inflammation or surgical trauma may play a role in the growth or initiation of osteomas, though this remains to be fully understood. This case highlights the clinical value of CT and MRI in the identification, differentiation, and management of paranasal sinus osteomas, as well as the importance of vigilance in long-term follow-up for patients with chronic sinonasal conditions.
Research on China's Digital Economy Development and Tax Policy
Authors: Song Yuyi
Published: January 2025

Abstract: Since the 18th CPC National Congress, China's digital economy has been booming, the scale of which is the second largest in the world, and the economic development is resilient. The continuous development of the digital economy will not only be conducive to promoting China's economic development and boosting domestic demand, but also play a key role in promoting the construction of China's modernised economic system and shaping China's competitive advantages in the international environment, while the rapid development of the digital economy at the same time, the current tax structure of the digital economic development of the inadaptability gradually appeared. In this paper, by systematically sorting out the development situation of China's digital economy and the current tax policies related to the digital economy, we point out the potential risks and challenges of the development of the digital economy, and give the corresponding recommendations.
Evaluation of Ecological Security in Qinghai Province Based on Net Primary Productivity-Ecological Footprint Approach
Authors: Lyu Manfang , Guo HongJia
Published: January 2025

This study explores the integration of ritual and virtue cultivation within Chinese classical dance teaching as a unique and culturally embedded approach to enhancing humanistic values within the framework of ideological and political education. Drawing on a comprehensive literature review and case studies in dance pedagogy, this research investigates how Chinese classical dance, deeply rooted in China’s rich cultural heritage, embodies ritualized movements and moral principles that serve not merely as a form of artistic expression but also as a conduit for instilling respect, discipline, and ethical conduct. By examining the structured movements, symbolic gestures, and values embedded within this traditional art form, the study seeks to illuminate how these elements can contribute to students’ moral development and cultural awareness, reinforcing virtues that align with both personal growth and civic responsibility.
The central aim of this research is to assess how the integration of these traditional elements within dance education can foster students’ humanistic cultivation, thereby strengthening their understanding of moral and civic values in an educational context that prioritizes both cultural preservation and ethical development. The findings underscore the potential of Chinese classical dance to deepen students' appreciation of cultural values, ethical awareness, and social responsibilities. Furthermore, the results suggest that embedding ideological education within the dance curriculum promotes a holistic learning experience, wherein students not only acquire technical proficiency but also internalize principles of ritual and virtue. This approach offers an innovative pathway for ideological and political education in contemporary academic settings, bridging the gap between traditional cultural education and modern educational goals and contributing to the formation of ethically conscious and culturally grounded individuals.
Evaluation of Ecological Security in Qinghai Province Based on Net Primary Productivity-Ecological Footprint Approach
Authors: Zhao Gang  , Ding Ru  , Hu Xiwu
Published: January 2025

Equilibrium factor and yield factor are the key parameters in the ecological footprint model, which are re-measured in this paper with the NPP values of biologically productive land cover on different land use types. Qinghai Province is the basic study area, and the ecological footprint per capita, ecological carrying capacity, ecological pressure index, and ecological footprint of 10,000 yuan GDP are measured based on the ecological footprint method of net primary productivity (EF-NPP) to analyze Qinghai Province from 2000 to 2022. The results show that: (1) the average ecological footprint of Qinghai Province is 1.71hm²/person, and the per capita ecological footprint shows a growing trend, which will be 2.38hm²/person in 2022; (2) Qinghai Province shows a trend of change with growth followed by a decline, and the per capita ecological carrying capacity from 2000 to 2022 ranges from 5.41 to 5.51hm²/person; (3) the ecological deficit/ecological surplus performance is ecological surplus, and man and nature are in harmony; (4) the mean value of ecological pressure index is 0.31, which is in the first rank, and the degree of safety is very safe; (5) the ecological footprint of 10,000 yuan GDP is in a decreasing trend from 1.43hm²/million yuan in 2000 to 0.39hm²/million yuan in 2022, which indicates that resource utilization rate of the development of Qinghai Province has gradually improved. The results of the study provide certain references and lessons for the high quality of Qinghai Province region.
Investigation of China’s Customers' Purchase Patterns on Agricultural Products via Live-streaming E-commerce in China
Authors: YAO YUE
Published: January 2025

Purpose: This study investigates the relationship among Chinese consumers' preferred consumption values (i.e., functional, social, emotional, epistemic, indulgence value, and food safety consciousness), attitude, and purchase intention in the context of agricultural products live-streaming e-commerce.
Approach/Methodology/Design: The study uses the value-attitude-behavior (VAB) model, incorporating the consumption values theory to formulate hypotheses. A questionnaire survey was conducted with 450 Chinese agricultural product customers on TikTok Live. Structural Equation Modeling (SEM) using SmartPLS 4.1 was employed for data analysis.
Findings: Consumption values, except for social value, significantly influenced consumers' attitudes toward agricultural product shopping via live-streaming e-commerce, with emotional value being the strongest predictor. Attitudes mediated the relationship between these values (excluding social value) and purchase intention. Streamers' expertise moderated the impact of indulgence value on attitudes, while online shopping self-efficacy moderated the relationship between attitudes and purchase intention.
Practical Implications: The findings offer valuable insights for agricultural product businesses and practitioners, helping them optimize their strategies for expanding sales via live-streaming e-commerce.
Originality/value: This study provides a novel exploration of the impact of various consumption values on attitudes and purchase intention within live-streaming e-commerce, offering theoretical contributions and practical guidance specifically for agricultural products.
Factors Influencing the Intention to Use ECNY and Its Driving Mechanisms: Based on the Theory of Planned Behavior and Technology Acceptance Model
Authors: ZHOU JIAJIAN , Zhang Lei , Yin Lijun
Published: January 2025

Central banks across major economies are actively engaging in research, pilot programs, and the implementation of central bank digital currencies (CBDCs). Despite these efforts, consumer interest in digital currencies such as ECNY (Digital Yuan) issued by the People’s Bank of China remains relatively low within the personal consumption market. To address this, the study examines key factors shaping residents’ willingness to adopt ECNY.The research introduces a conceptual framework incorporating Policy Driving, Service Quality, Trust, Satisfaction, Perceived Usefulness, and Use Intention as critical variables. By applying theories of planned behavior and technology acceptance, it delves into how these elements influence the intention to use ECNY. Findings indicate that all the identified factors, including Policy Driving, Service Quality, Trust, Satisfaction, and Perceived Usefulness, significantly impact users' willingness to adopt ECNY. Among these, Policy Driving emerged as the most influential determinant.
Additionally, the analysis highlights interrelations among Service Quality, Satisfaction, Trust, and Perceived Usefulness, demonstrating their interconnected roles in shaping user adoption behavior. These insights contribute substantial theoretical value by illuminating the dynamics underlying ECNY adoption, offering actionable strategies for enhancing its implementation. Furthermore, this study extends its relevance by providing practical recommendations for accelerating the adoption of CBDCs globally, underscoring their potential for advancing digital financial ecosystems worldwide.
Popularization Education and National Progress: Real Challenges and Future Outlook
Authors: Zheng JunTao , Huang Shaobin
Published: January 2025

This paper discusses the key role of universal education in promoting national development and solving occupational maladjustment. Emphasizing the influence of education on economic growth, social stability, innovation and cultural protection is very important for improving national competitiveness and sustainable development. This research has been widely investigated in all parts of China, which proves that education can improve skills, promote social harmony, stimulate creativity and protect cultural heritage. However, an important problem is the dislocation between episode and professional role, which wastes human capital and reduces the return on education and investment. In order to meet these challenges, the article suggests combining educational courses with the needs of the labor market to reduce the unsatisfactory majors.we concluded that emphasizes the quality and relevance of education to ensure that learners acquire relevant skills. Promoting life, study and training can enhance the adaptability and resilience of labor. These strategic interventions are aimed at creating an effective education system to promote economic prospects and enable individuals to develop their full potential. These measures have enhanced national competitiveness and are essential for long-term sustainable development.
Research and Analysis on the Overseas Breakthrough of Chinese Cultural Symbols Based on the SIPS Model --Taking the Video Content of "Tai Chi Zidong" on YouTube and TikTok as Examples
Authors: Chen Siyuan , ShanYuan Feng
Published: January 2025

On international social media, "Tai Chi Zidong" has become a blogger with millions of followers dedicated to spreading Chinese culture, emerging as an influential case of cross-cultural communication. This paper takes the video content of "Tai Chi Zidong" on YouTube and TikTok as the research direction, examining the challenges and potential breakthroughs in the cross-cultural communication of Chinese culture. Employing the SIPS communication effect model proposed by Japan's Dentsu company for analysis, it is found that "Tai Chi Zidong" begins by accurately targeting users, maintaining the original cognitive frameworks of overseas users while focusing on their emotions, thereby eliciting recognition and gradually increasing online and offline community participation. Through offline communities, cross-cultural agents for spreading Chinese culture are selected, further accelerating the international dissemination of Chinese cultural symbols. However, during the communication process, vigilance is needed against issues such as cultural imperialism and cultural discount, necessitating strategy adjustments and considering the perspective of the West in the dissemination of Chinese culture, while proposing feasible strategies and methods.
Transforming Education with Artificial Intelligence: A Comprehensive Review of Applications, Challenges, and Future Directions
Authors: Xiao Nan , Pei YuTing , Yuan Chunhong , Bu YuJia , Cai ZhiXuan
Published: January 2025

Artificial Intelligence (AI) is transforming education by enabling personalized learning experiences, enhancing teaching efficiency, and promoting student engagement. This study provides a comprehensive literature review on the applications, challenges, and future directions of AI tech- nologies, with a focus on generative AI tools like ChatGPT, GPT-4, and BERT. The review explores the role of AI across primary, secondary, and higher education, examining its potential to foster inclusivity and address educational equity gaps. Key methods include thematic analysis of relevant literature to identify trends, challenges, and research gaps. The results highlight both the opportunities provided by AI, such as adaptive learning and automated assessment, and the challenges, including ethical concerns, algorithmic bias, and infrastructural limitations. The study concludes by emphasizing the need for ethical frameworks, teacher training, and interdisciplinary collaboration to ensure the responsible use of AI in education. Additionally, the research identifies future directions, including the integration of AI with emerging technologies like virtual and augmented reality. This review aims to provide actionable insights for educators, policymakers, and researchers to harness AI’s potential while maintaining a balance between technology and human interaction for meaningful learning experiences.
Construction of Host Competency Model in the Omnimedia Era: A Case Analysis Based on the 2023 CCTV Hosts Competition
Authors: Wang Wang
Published: January 2025

In the omnimedia era, hosts face challenges in transitioning from traditional media to new media. How to maintain professional competence and demonstrate cross-platform communication abilities in a multimedia convergence context has become crucial. Based on a case analysis of the 2023 CCTV Hosts Competition, this paper explores the core competencies and qualities that hosts should possess in the new era, constructing a competency model for hosts in the omnimedia age. The research finds that hosts not only need traditional language expression and information delivery skills but also cross-platform adaptability, personalized expression, and technology application abilities. This paper provides a theoretical basis for broadcasting and hosting arts education and talent cultivation.
The Sea Wall – A Post-colonial Perspective Analysis
Authors: Zhang Wenwen , Wang Yudan
Published: January 2025

The Sea Wall (A Barragem Contra o Oceano Pacífico) is among Duras' earliest realist works, as it is not merely a fictional narrative but an autobiographical novel. Set in a French colony in Indochina in the early 20th century, the novel portrays the experiences of an ordinary French family who emigrated to the colony. Existing scholarship on the novel largely falls into two categories: one focusing on narrative techniques and creative strategies, and the other adopting a cultural studies framework, with attention to feminist and psychological dimensions. This paper, however, seeks to reinterpret the novel through a post-colonial lens, emphasizing Duras' hybrid cultural identity and its influence on her work. By analyzing Duras' life story and the historical period in which she lived, this study explores how her characters inhabit a "third space"—a conceptual site shaped by the intersection of colonial and indigenous identities.
An ethical examination of artificial intelligence
Authors: Li Li Yan Zhao
Published: January 2025

Purpose: This study attempts to discuss the ethical issues brought about by the rapid development of artificial intelligence and propose countermeasures, in an attempt to provide a theoretical reference for the governance of artificial intelligence ethical issues and the establishment of an artificial intelligence regulatory framework.
Approach/Methodology/Design: A literature review was conducted using a structured search of various literature sources, including academic, organisational, government grey literature sources and news reports, with primary consideration given to literature published or released since 2010.
Findings: Today, the rapid development of artificial intelligence has led to a wide range of ethical issues. As artificial intelligence technology continues to innovate, discussions on ethical issues must also keep pace with the times. Only artificial intelligence that develops under reasonable and standardized constraints can truly help people create a better life in the future.
Practical Implications: This study analyses the main ethical problems arising from the rapid development of artificial intelligence, specifically from the perspectives of ‘environmental ethics’, ‘gender ethics’ and ‘social ethics’, and proposes corresponding countermeasures. This study analyses the main problems from three perspectives, including ‘environmental ethics’, ‘gender ethics’ and ‘social ethics’, and puts forward corresponding countermeasures, so as to provide theoretical references for the construction of a normative framework for AI ethics and make positive contributions to the promotion of ethical governance of AI.
Originality/value:This paper discusses the latest major ethical issues arising from AI from a new perspective, combining three different perspectives: ‘gender ethics’, ‘environmental ethics’ and ‘social ethics’. This paper is innovative in that it discusses the contradictions caused by artificial intelligence from three different perspectives: ‘gender ethics’, ‘environmental ethics’, and ‘social ethics’, and proposes corresponding countermeasures.
Analysis of the Characters in Wuthering Heights by Freud's Structural Theory of Personality
Authors: Yin Tianjiao
Published: January 2025

Wuthering Heights is a classic British literary work written by Emily Bronte, and this paper aims to analyze the main characters in the work using Freud's structural theory of personality, which can reveal the complex psychological activities and behavior motives of the characters. In this novel, Heathcliff's wild and revengeful behaviors reflect the id impulses, driven by primitive desires and revenge mentality; Catherine's inner struggle and conflicting behaviors reflect the ego in reconciling reality and desire; Edgar Linton's behaviors, representing moral and social norms, show the regulatory power of the superego in individual behavior. This analysis deepens our understanding of the novel's characters while highlighting the value of Freud's theory in literary criticism.
Artificial intelligence art robots: the future of technological art or the end of the human artist?
Authors: YANG HENGRAN
Published: January 2025

This paper explores the intersection of artificial intelligence (AI) and art, focusing on the use of AI-driven robots in creative processes. The study examines the historical evolution of AI art, beginning with early algorithmic experiments in the 1960s and leading to contemporary developments, such as Generative Adversarial Networks (GAN) and robotic artists like Ai-Da. It analyzes how advancements in AI and robotics have not only expanded the boundaries of art creation but also raised philosophical and ethical questions regarding authorship, creativity, and the role of human artists. Through a comprehensive review of key milestones, technologies, and aesthetic implications, the paper evaluates whether AI and robotic art are poised to replace traditional artists or establish new forms of collaboration. The findings indicate that while AI technologies are capable of generating intricate artworks, they lack human emotional expression and cultural sensitivity, highlighting the complementary rather than competitive role of AI in art. The study suggests that future artists will need to develop technical competencies to effectively collaborate with AI systems, reshaping the landscape of art and creativity. This paper contributes to the ongoing discourse on AI’s role in art by offering insights into the future of human-AI artistic partnerships and their impact on the broader art ecosystem.
EXPLORING INTERACTIVE MUSEUM EXPERIENCES THROUGH MULTISENSORY PERCEPTION
Authors: Fang Kaiyi , Huiwen Xia  , Changyu Diao
Published: January 2025

Nowadays, an increasing number of museums are focusing on multisensory experiences, incorporating non-visual senses (such as hearing, taste, touch, and smell) into the physical museum space. People engage with museums, receive information, and experience the world through their bodily senses. In this interactive experience, the visitor plays a crucial role, being both the subject of cognition and experience. What kind of museum experiences are generated within the bounds of the subject, and what kind of relationship is established with the museum as a result? This paper will discuss the unique experiences endowed to physical museums by multisensory perception, using specific cases as examples.
The Construction of literary character in Chang An
Authors: Yang Ziyue
Published: January 2025

Chang An, the inaugural work of the "New Culture" series by Light Chaser Animation, offers a glimpse into the life stories of Tang Dynasty poets such as Gao Shi and Li Bai within the historical context of the dynasty's rise and fall. This animation piece effectively portrays the distinctive traits of Chinese literati, providing a collective character portrait. Diverging from the fantastical themes of "New Legends" and "New Gods," Chang An places a central focus on meticulously reconstructing historical details and narrating the intricate character-driven stories. Its underlying intent is to establish archetypal personalities and images representative of Chinese literati. Given this context, this paper employs a narratological perspective to delve into the process of character and image development of the literati in "Chang An," with an exploration of structural dynamics, binary narratives, and the interplay of imagery.
Primary PCI in Elderly STEMI Patients: Risk Assessment and Management
Authors: Samiullah  , Hameed Ullah  , Abdul Waris  , Muhammad Niaz Khan  , Nazeef Ullah  , Abid Ullah
Published: January 2025

Objective: To evaluate the impact of frailty on clinical and procedural outcomes in elderly STEMI patients undergoing primary percutaneous coronary intervention (PCI) at Hayatabad Medical Complex, Peshawar. Methodology: A retrospective study was conducted from April 2023 to March 2024, including 300 patients aged ≥65 years divided equally into frail and non-frail groups (n=150 each). Data were collected on demographic characteristics, procedural outcomes, and complications. Statistical analysis included chi-square tests for categorical variables and t-tests for continuous variables, with a significance level of p<0.05. Results: The mean Killip class was significantly higher in frail patients (2.5 ± 0.8) compared to non-frail patients (1.8 ± 0.5; p<0.05). Symptom onset-to-treatment time was longer among frail patients (7.4 ± 2.1 hours vs. 5.8 ± 1.9 hours; p<0.05). TIMI grade 3 flow was achieved in 82% of non-frail patients compared to 65% in frail patients (p<0.05). Major adverse cardiac events (MACE) occurred in 42% of frail patients versus 18% of non-frail patients (p<0.05). ST-segment resolution was achieved in 78% of non-frail patients compared to 54% in frail patients (p<0.05). Conclusion: Frailty significantly impacts clinical and procedural outcomes in elderly STEMI patients, highlighting the need for tailored approaches to improve treatment and post-PCI care. Future studies should validate these findings in broader populations and explore advanced strategies to address frailty.
Optimizing Saffron Flowering and Yield as Affected by Vernalization and Corm Size of Crocus Sativus L.
Authors: Syed Qaiser Ali Shah  , Masood Ahmad  , Hamza Ali  , Ahmad Naeem  , Mehdi Raza  , Asim Hassan  , Sadaf Hussain  , Shahana Jabin  , Sumbal Ayaz  , Midrar Ullah  , Arif Ullah  , Imran Qazi
Published: January 2025

The absence of low temperature treatment leads to slow shoot growth in spring and results in flowering and various physiological disorders. Among several naturally occurring environmental factors, temperature is considered to play a predominant role in controlling proper growth and flowering in geophytes. Most of them require a “cold-warm” sequence to complete their annual cycle. Exposure of corms to vernalization is the most important physiological phenomenon and ecological factor governing variation of the vegetative apex into the reproductive one in saffron. Results findings showed that among different vernalization treatments, minimum days to emergence, highest emergence percentage, number of leaves plant-1, maximum leaf length (cm), number of cormels plant-1 were observed in saffron plants when corms were treated for 16 days vernalization while maximum number of sprouts corm-1, plant height (cm) and cormels weight (g) were recorded in saffron corms treated with 12 days vernalization. Among different corm sizes, minimum days to emergence, maximum emergence percentage, number of sprouts corm-1, average plant height (cm), number of leaves plant-1, leaf length (cm), number of cormels plant-1 and highest cormels weight plant-1 (g) were noticed in larger corm size (11g). It is concluded from the research findings that saffron corms of larger size when treated for 16 days vernalization could give better production.
Eco-friendly Management of Garlic Thrips (Thrips tabaci) (Thysanoptera: Thripidae) through different Herbal Pesticides
Authors: Mehran Ali  , Adil Ahmad  , Muhammad Mansoor  , Muhammad Abdullah  , Shayan Zaib  , Shahab Uddin  , Muhammad Haroon  , Samia Bibi  , Riaz Hussain  , Amanullah
Published: January 2025

Garlic (Allium sativum) is the most important vegetable crop in Pakistan. Many insect pests attack the garlic crop, but thrips are the most important one. The experiment was conducted in a local farmer field at District Swat and randomized complete block design was followed with three replications. The plant extracts were used were viz., Tobacco leaves Extract 50%, Neem leaves Extract 50%, and Parthenium leaves Extract 50%, and Chinaberry fruit extract 50% respectively. The lowest means percent infestation (6.53, 2.03) and highest % reduction (87.20, 96.23) after both spray application was recorded in plots treated with chinaberry fruit extract. The plot treated with Neem leaves extract and Tobacco leaves was found least effective with maximum percent infestation (8.27, 4.23) (8.83, 3.93) and minimum reduction (78.07, 88.80) (76.23, 88.60) in thrips population and was found similar to each other. The untreated plot had the highest rate of infestation (26.4). It is concluded from the current study that all the botanical extracts gave a significant result against garlic thrips. But botanical extracts of Chinaberry fruit extract gave best results as compared to other plant extracts.