bluuebunny/crossref_metadata_2025 huggingface dataset:
The Difference in Sportswear Marketing in China and the US -Taking Li Ning and Under Armour as Examples
Authors: Guo Yanzi
Published: December 2024

Whether in China or the US, merchants who want to make their enterprises bigger and wider will want to globalize their brands, so as to gain popularity and sales. It finds that foreign brands are very common in the Chinese marketing and popular with China, such as Nike, and Under Armour, but people rarely see the marketing of Chinese brands. Most Chinese sportswear brands are generally used in sports games. For example, Li Ning is awarded as the prizes in most games and casts as merchants. Li Nings annual revenue reached more than 2.7 billion dollars, while Under Armours annual revenue reached more than 5 billion dollars. If Chinese brands want to reach the sales volume of foreign brands, they need to learn the relevant marketing strategies. This article claims that the difference of marketing models of sportswear brands in China and the US is due to the difference embedded in the sports industry. The strategies recommended in this article are to pay attention to the exposure of products in games and big events, follow the local customs, and take into account marketing data.
An Analysis and Exploration of the 15-Minute Living Circle Community Construction
Authors: Zhang Sishuo
Published: December 2024

With the acceleration of global urbanization and increasing demands for community governance, residents' needs for convenience, comfort, and a sense of community belonging have grown significantly. Traditional monocentric urban structures can no longer meet the diverse demands of residents, especially following the COVID-19 pandemic, which has intensified the reliance on community life and popularized the idea of "meeting daily needs close to home." The 15-minute living circle concept proposes that residents should have access to essential public servicessuch as education, healthcare, shopping, leisure, and cultural facilitieswithin a 15-minute walk or bike ride. This concept aims to improve community life convenience and efficiency, thereby enhancing residents' quality of life. Through literature review and domestic and international case studies, this research explores the characteristics, construction pathways, and challenges of 15-minute living circle communities. The findings indicate that the rational distribution of public facilities, multifunctional community design, sustainable development, and efficient community governance are key to realizing the 15-minute living circle. However, challenges such as land resource scarcity and unequal public resource allocation remain. The study concludes that through scientific planning, policy support, and the integration of smart technologies, cities can overcome these challenges by optimizing transportation systems and implementing intelligent community management, thus achieving sustainable development and improving residents' living standards and environmental quality.
The Impact of Non-Interest Income on Bank Risk in Chinese Commercial Banks
Authors: Chen Haonan
Published: December 2024

In the rapidly evolving economic landscape of Chinese commercial banks, the diversification of revenue streams beyond traditional interest income has emerged as a critical trend. Traditionally reliant on interest-based revenue, these institutions are increasingly focusing on non-interest income due to intensified market competition and the liberalization of interest rates. This study aims to investigate the impact of non-interest income on the risk profiles of Chinese commercial banks, a relationship that has been subject to both supportive and critical academic perspectives in recent research. This research employs a panel data econometric model analyzing data from thirteen publicly-listed Chinese commercial banks from 2015 to 2022. The paper explored variables such as non-interest income proportion, bank diversification index, and several risk measures like risk-adjusted return and the Z-Score for bankruptcy risk. Key findings indicate a complex relationship where non-interest income generally reduces bankruptcy risk and enhances risk-adjusted returns. Conversely, income diversification shows mixed effects; it appears to reduce risk in some metrics while potentially increasing it in others. The study concludes that while non-interest income plays a beneficial role in mitigating overall banking risk, the effects of diversification are nuanced and call for careful risk management. Banks are advised to balance their income streams and ensure that expansions into new non-interest income avenues align with their risk management capabilities. These insights contribute to strategic financial management within the evolving Chinese banking sector.
Research on the Unique Role of a River and Ocean Port City in Economic Development: The Case of Shanghai
Authors: Jin Shiji
Published: December 2024

This study delves into the pivotal role Shanghai plays as both a river and ocean port city in driving economic development. By functioning as a dual port, Shanghai enhances regional and global trade efficiency, reduces logistical costs, and optimizes supply chain management. The research focuses on the strategic advantages of Shanghais location at the confluence of the Yangtze River and the East China Sea, exploring how this unique positioning bolsters regional economic integration and increases global trade competitiveness. The analysis highlights the critical role that Shanghais port infrastructure plays in both regional and global economies. However, it also identifies significant challenges, including issues related to regulatory compliance and economic dependency, which could hinder the citys long-term growth. To address these challenges, the study offers several recommendations aimed at strengthening Shanghais economic position and ensuring its continued success as a dual-role port city. Ultimately, the study underscores the importance of strategic planning and policy-making in fully leveraging the potential of dual-role port cities like Shanghai. By addressing existing challenges and capitalizing on its strategic advantages, Shanghai can continue to play a leading role in global trade and economic development.
Research Analysis on the Impact of China's Digital Economy Development on Carbon Emissions
Authors: Xu Ke
Published: December 2024

The global economy has been transformed by the digital economy (DE). This study deeply explores the relationship between DE development and its impact on carbon emissions, which is not straightforward. By synthesizing multiple papers, this article aims to discuss key issues under climate changes background and sustainable development. Through the study of various econometric models, including the Spatial Durbin Model. There is spatial dependence and spillover effects of digital economic activities on carbon emissions are revealed in this paper. The primary findings suggest that DE and carbon emissions are not linear and have an inverted U-shaped curve. Data centers and network infrastructure have increased energy consumption, which may result in carbon emissions from the digital sector's initial growth. After reaching a certain threshold, the DE appears to help reduce carbon emissions. This research provides comprehensive insights for policymakers, industry leaders, and academic researchers, advocating for a balanced approach to the development of the DE. At the same time, environmental sustainability should be given priority, and digital technology should be fully utilized to promote economic growth.
Research on the Impact of Digital Economy Trend on Urban Agglomeration in China
Authors: Yuan Quan
Published: December 2024

The rise of the digital economy has profoundly influenced urban agglomeration, highlighting regional advantages and shaping future development trajectories. This paper delves into the complex dynamics of the agglomeration effect in the digital economy era, focusing on its geographical, economic, social, and environmental implications in China. With over 1.5 million college graduates entering the workforce annually, the rapid transformation of industrial structures and the polarization of urban agglomeration present significant challenges and opportunities for individuals and society. This study offers an in-depth analysis of how population expansion affects cities, industries, and individual livelihoods, drawing on historical data and experiences to provide a comprehensive context. It explores the patterns and drivers of urban migration and agglomeration, offering insights into the underlying motivations, psychological factors, and trends that shape these movements. By examining the urban agglomeration effect and population migration in the digital economy, this paper aims to elucidate current social phenomena and provide informed conjectures on the future trajectory of urban development in this rapidly evolving economic landscape.
Evaluating Argentinas Welfare Policies and the Impact on the Economy
Authors: Li Chengxi
Published: December 2024

Argentinas distinctive and abnormal economic phenomenon and its special welfare system are certainly valuable for investigation. The main purpose of this article is to evaluate the welfare system and policies implemented by Argentina government through the last century, and the influences onto the whole economy. The result shows that, despite the high financial resources being invested into the welfare system, the success of welfare policies only lasted for a few decades before the whole system encountered a decline in late 1970s and finally collapsed through the lost decades of Argentina. Also, as the result of welfare policies remaining inefficient, the large amount of money that used to maintain welfare system become the burden of Argentina economy, causing debt crisis. Considering the fact that the fundamental problem was the government deficit and debt level, to prevent such situation to happen again, several policies might be available and effective. These policies include cutting government spending or adopting privatization strategy, which would outsource the welfare section to private sector and reduce government burden.
Study on the Trend of Low Fertility Rate in China and Its Influencing Factors
Authors: Meng Xinyang
Published: December 2024

In recent years, China's population fertility rate has continued to decline, becoming a major issue of widespread concern in all sectors of society. This paper aims to analyze the trend of China's low fertility rate and its main influencing factors. Through the analysis of national statistical data and a review of relevant literature, this paper finds that China's total fertility rate is already far below the world level. Due to the family planning policy, China is now facing the challenges of a low birth rate and an aging population. China has problems such as insufficient government support for fertility policies and low public enthusiasm for fertility, especially in large cities, where high living costs and work pressures have a significant inhibitory effect on fertility. This paper suggests that in the future, policies should pay more attention to improving the parenting capacity of individual families, strengthening work-family balance, and improving parenting supply, to alleviate the restrictions and challenges of socioeconomic development brought about by low fertility rates.
The Impact of Bilateral Trade Relation of USA-China From 1979 to 2020
Authors: Wang Yutong
Published: December 2024

This essay has investigated the bilateral trade relation of China and the USA and the global impact. By setting three main periods - 1979, 2018 and 2020. The groundbreaking trade agreement signed in 1979 laid a solid foundation for the integration of the cone (here, the term "cone" may refer to a specific economy or region, but for the sake of generality, it is not specified) into the global economic system. Through the analysis of relevant data, it becomes evident how profoundly this agreement has impacted and benefited the economies of both China and the United States. The agreement not only facilitated rapid growth in bilateral trade but also deepened cooperation between the two countries in various fields such as investment, technological exchanges, and market access, thereby injecting robust momentum into the prosperous development of the Chinese and American economies. 2018 as the turning point of the bilateral relations with China, demonstrates the reason behind and further competition between the two nations. The 2020 Phase One deal has addressed the imbalances and the protection of the US economy, compared the focus of the 1979 trade agreement and deal, then evaluated the actual effect of the deal. The method used in this essay is mainly through comparison on date and analyhsis on specific policy. This essay has found that compromise is the main negotiation between two countries and the future competition in technology sector or tele-communication sector is inevitable.
Using SARIMA Method and Random Forest to Predict the Covid-19 Infection Cases
Authors: Zhou Sihan
Published: December 2024

The COVID-19 pandemic has posed significant challenges to global public health, necessitating the development of effective predictive models to anticipate future outbreaks and allocate healthcare resources efficiently. This study aims to forecast the number of COVID-19 infections in four European countriesGermany, Italy, Malta and Swedenduring April and May of 2022. Two distinct forecasting models are employed: the Seasonal Autoregressive Integrated Moving Average (SARIMA) model and a Random Forest regression model. The analysis utilized data up to the end of March 2022, incorporating factors such as lagged case numbers, vaccination rates, temperature, and jurisdictional policies. The results indicate that while the SARIMA model captures the general seasonal trends, the Random Forest model outperforms SARIMA in predictive accuracy, as reflected by lower Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) values. Moreover, feature importance analysis from the Random Forest model highlights that recent infection rates (lagcases7) significantly impact future case predictions, suggesting the utility of machine learning techniques in capturing complex interactions within epidemiological data. These findings provide valuable insights for policymakers in planning effective pandemic responses.
Theoretical Flaw and Practical Benefit of the Modern Urbanization and Globalization: China and Kyrgrzstan Case Study
Authors: Li Zichu
Published: December 2024

This paper explores the intricate relationship between globalization, urbanization, and rural economies, with a focus on the Global South and a specific case study of China. It examines how globalization has driven significant transformations in rural economies, leading to accelerated urbanization trends. The paper provides a comprehensive analysis from two major perspectivesurbanization and globalizationhighlighting the rapid pace of development and its associated challenges. By analyzing Chinas experience and comparing it with neighboring countries, the paper delves into the side effects of these modern developments, such as intensified exploitation and the loss of species diversity. The study also offers a multi-faceted analysis that considers geographic, political, and economic factors to understand the broader impacts of globalization. Moreover, this paper emphasizes the importance of environmental protection in the context of rapid development and provides valuable insights into the role of agricultural trade in economic globalization. It assesses the influence of agricultural trade between China and its neighbors on local residents, domestic political stability, and economic policies. The paper concludes with practical suggestions to address the challenges posed by globalization and urbanization, contributing to the ongoing discourse on sustainable development in rural economies.
Research on Supply Chain Management Strategies of Multinational Retailers in China Based on IKEA
Authors: Jia Jinbo
Published: December 2024

Driven by globalization and digitalization, the supply chain management of multinational retail enterprises in China is facing unprecedented challenges and opportunities. This study focuses on IKEA's supply chain management strategy in the Chinese market. It aims to reveal how it improves market competitiveness through supply chain optimization and responds to rapidly changing consumer demands. This study found that IKEA has effectively improved the response speed and cost efficiency of the supply chain by implementing refined inventory management, strengthening supplier relations, and adopting advanced information technology. The results show that IKEA's supply chain strategy not only meets the individual needs of consumers but also enhances its market adaptability and customer satisfaction. However, IKEA still has room for improvement in logistics efficiency, supplier cooperation depth, and market dynamics prediction. In China's continuous economic growth and consumption upgrading, IKEA's supply chain management experience has important reference value for understanding and grasping the complexity of the Chinese market. Future research could further explore how IKEA integrates emerging technologies to achieve continuous innovation and optimization of the supply chain.
Thailand During the Asian Financial Crisis: Retrospection and Introspection
Authors: Wang Hanqi
Published: December 2024

The 1997 Asian financial crisis exposed the instability of financial systems in Asian countries and highlighted the weaknesses in financial regulation. This article reviews the course of the crisis and analyzes the economic conditions and policies of Thailand before and after the crisis. Prior to 1997, Thailand implemented three rounds of currency liberalization. Following the crisis in 1997, the Thai currency depreciated significantly, and the economy experienced a substantial decline, leading to the accumulation of enormous short-term foreign debt. To address the crisis, the International Monetary Fund mandated that Thailand should implement an austerity program. This incident underscored the critical importance of formulating appropriate economic development models and establishing effective financial system regulation for a nation's urgent development. Furthermore, it is essential to conduct timely assessments of economic conditions and to take preventive measures against potential future crises. Analyzing the 1997 Asian financial crisis can provide insights for future policy formulation and financial system reforms. It can also inform timely responses and the implementation of appropriate policies in the event of similar occurrences in the future, ultimately minimizing losses.
Nasdaq and Shanghai Composite Index Forecast Based on ARIMA and ETS Models
Authors: Yuan Shilong
Published: December 2024

Accurately predicting asset prices is crucial for investors, as it not only helps them avoid risks and seize market opportunities, but also influences economic trends, optimizes resource allocation, and ensures the scientific and effective nature of investment decisions. In this paper, ARIMA model and ETS model are used to predict the time series of NASDAQ index and Shanghai Composite Index respectively. By comparing the prediction performance indexes of the two models, such as mean square error (MSE) and root mean square error (RMSE), it is found that ARIMA model has higher prediction accuracy in most cases. Besides, the results show that the performance of different models in different markets is different, which provides a basis for investors to choose the right forecasting model. This study provides valuable empirical analysis for the field of asset price forecasting, especially in the context of global economic uncertainty, and has important practical application value.
Application of AR, MA, and ARMA Models in Financial Time Series Analysis
Authors: Zeng Wenbai
Published: December 2024

This research analyzes and predicts the daily return on the SP500 and FTSE 100 indices from 2015 to 2023 using the autoregressive (AR), moving average (MA), and autoregressive moving average (ARMA) models. The AR model asserts that both indices have the mean reversion feature of returns, which means that past performances do not predict future results. The analysis of the findings in this paper demonstrates this. Nevertheless, it was evident that the FTSE 100's mean reversion was more reliable than that of the SP500, suggesting that the FTSE 100 has the capacity to promptly reverse such a situation. The MA model of the preceding period's return forecast discrepancy was used to adjust the subsequent returns by both indices. Market fluctuations, like those that occurred at the inception of the COVID-19 pandemic, exacerbate these effects. Therefore, as in previous analyses, ARMA derived advantages from the inclusion of errors and information about the prior returns. In contrast to the SP500, which is more sensitive and based on shocks, this index exhibits more accurate mean reversion and superior correction mechanisms than the FTSE 100. Consequently, the research confirms that the ARMA model can effectively forecast the financial markets by leveraging historical results and forecast error. These models may be beneficial to policymakers and investors due to their ability to capture the non-parametric characteristics of financial time series.
SP500 Forecast Based on ARIMA and ETS Models
Authors: Dong Qihan
Published: December 2024

Prediction of stock price, as a core issue in the financial sector, is deeply affected by the Federal Reserve's interest rate decision. As an important engine of the world economy, the United States' economic policies and decisions undoubtedly play a pivotal role on the global economic stage. The Fed's rate cut had a profound impact on global capital markets. Under the current macro background of the US interest rate cut, it is particularly critical to study and build an effective stock price forecasting model. In this paper, ARIMA and ETS models are used to predict SP500, and the results show that the RMSE value of ETS model fitting is lower than that of ARIMA model fitting. The ETS model can provide better prediction results in predicting SP500. This paper combines ARIMA and ETS models to provide a new perspective for stock price forecasting and a new idea for stock price forecasting under the background of US interest rate reduction.
The Impact of Mobile Gacha Games on Generation Z Users in China
Authors: Xi Shuran
Published: December 2024

This study investigates the impact of mobile gacha games on Generation Z users in China, with a focus on user engagement and motivations. The research highlights the growing prevalence of gacha games within China's gaming market, which relies heavily on lottery-like mechanics that encourage time or monetary investment for the acquisition of rare in-game items. Through the analysis of quantitative data, the study highlights the factors contributing to user engagement, such as character attachment, aesthetic resonance, and social interactions, while also exploring the psychological triggers that drive player engagement. The findings reveal that Generation Z players maintain a long-term connection with gacha games due to the excitement of acquiring rare items, character attachment, and cultural resonance. However, the study also identifies that emotional needs, such as alleviating loneliness or seeking social validation, are secondary to the enjoyment derived from gameplay mechanics. These insights offer a comprehensive understanding of the consumer psychology behind mobile gacha games, emphasising the distinct behaviour of Chinese Gen Z players and the impact of mobile gacha games on their gaming experience.
Analysis on Influencing Factors of Grain Yield under the Grain Supply Chain in Heilongjiang
Authors: Li Zai
Published: December 2024

Limited agricultural production combined with the increasing food demand has led to the Grain Supply Chain instability and food supply conflicts, particularly in Heilongjiang province, a major grain-producing region of China. Increasing grain yield has become the key area of study among researchers. This study constructs a Multiple Linear Regression model based on Stepwise Regression analysis with R software and Eviews to investigate eight factors influencing grain yield in Heilongjiang province from 1992 to 2022 by utilizing methods such as White-test, Durbin-Watson Test, and Variance Inflation Factor to validate this model. According to the findings, an increase in Grain Sown Area, Effective Irrigated Area, and Value Added in Primary Industry, correlates with an increase in Grain Yield. In contrast, an increase in Disaster-Affected Areas and Employment in Primary Industry is associated with a decrease in Grain Yield. In addition, an in-depth analysis regarding the negative coefficient associated with Employment in the Primary Industry was conducted by integrating the Law of Diminishing Marginal Returns. It was concluded that the incompatibility of the initial hypothesis may be attributed to the educational level of Employment in Primary Industry and the efficiency of grain production. To establish a more stable, efficient, and flexible Grain Supply Chain system, it is recommended to enhance resource utilization, strengthen disaster monitoring, control inefficient labor productivity, and promote industrial collaboration to satisfy the increasing demand for boosted Grain Yield.
Venture Capital Investment Decisions in Artificial Intelligence: Opportunities, Trends, and Challenges
Authors: Du Jiaying
Published: December 2024

In the contemporary society, the rapid growth of the artificial intelligence industry presents significant opportunities for venture capital investment, driven by advancements in machine learning, robotics, neural networks, and generative AI. With a projected market size of $184 billion by 2024, demand for AI technologies is attracting growing investor attention. This paper explores key trends in AI venture capital, highlighting regional differences. U.S. investments emphasize growth in sectors like healthcare and autonomous vehicles, while Chinese investors focus on capital-intensive areas like mobility and robotics, prioritizing relationships and government alignment. Despite opportunities, AI investment faces challenges like information asymmetry, security risks, and a lack of deep tech expertise. Short venture capital funding cycles further complicate long-term returns for investing in the AI industry. The paper also outlines the venture capital decision-making process, underscoring the need for expertise, regional awareness, and strategic risk management to effectively navigate the complexities of AI investment.
The Impacts of Digital Economy on the Digital Transformation of Small and Medium-sized Enterprises
Authors: Zha Liguoyan
Published: December 2024

Digital economy, as a new economic model after agriculture and industrial economy, is rising rapidly and gradually, becoming the main economic form of current society. This economic model is based on Internet information technology and regards big data as a core production factor. The digital economy contributes significantly to resource allocation optimization and the transformation of traditional sectors through precise identification and deep integration of data resources. In the meantime, small and medium-sized businesses, which are a significant component of the national economy, consistently hold a significant position in employment and technical innovation. The trend of small and medium-sized businesses going digital has become unavoidable in order to keep up with the growth of the digital economy. The purpose of this paper is to examine how the digital economy affects small and medium-sized businesses' digital transformations and to examine the relationship, present state, and difficulties between the two. The specific effects of the digital economy on the transformation of small and medium-sized businesses from the perspectives of production process, operation management, and product services, as well as the opportunities and difficulties posed by digital transformation, are then discussed in order to offer helpful resources and motivation for this process.
Research on the Influence of Cartoon Characters on Product Cognition of Chinese High School Students on Product Packaging
Authors: Ge Yutong
Published: December 2024

This study looks at the use of cartoon characters on packaging and its consequences on product cognition with a sample of Chinese high school students. By compiling secondary research, this paper investigates how these characters influence the recognition of a product, trust in it, and the intention to purchase. The results revealed that popular, emotionally appealing cartoon characters make significant improvements in product recognition and product trust that are favorable toward the intention to purchase. More importantly, it plays with cultural relevance: the more the character relates to Chinese culture, the more effective among students. These insights have important implications for marketers on how strategic the use of cartoon characters in branding campaigns should be. Targeting age groups and using digital platforms will help marketers increase the emotional bonding of young consumers and, as a consequence, their engagement. This study underlines the fact that cartoon characters can build a strong emotional bond with youth in China, hence influencing brand engagement and purchase decisions. Therefore, marketers are encouraged to add culturally relevant characters in order to obtain maximum impact and relevance with local appeal.
LSTM-based Missing Value Filling Analysis of Time Series
Authors: Chen Jing
Published: December 2024

In the field of time series data analysis, handling missing values poses a critical and complex challenge. This study addresses this issue by proposing a missing value imputation method based on Long Short-Term Memory (LSTM) networks to enhance the accuracy and reliability of time series data prediction. Specifically, we selected water consumption data from 20 different communities, which contained missing values, as our experimental dataset. Initially, we applied a mean imputation method to preprocess the missing data in the training set, ensuring data completeness and continuity. Subsequently, we constructed an LSTM model based on a sliding window mechanism to perform missing value predictions. The prediction results on the validation set yielded a Mean Squared Error (MSE) of 0.00636, indicating a high degree of accuracy and stability in our models predictive capabilities. Additionally, a detailed analysis and prediction of individual feature values yielded an MSE of 0.40129, further validating the effectiveness of the LSTM model in addressing the missing value problem in time series data.
ФОРМУВАННЯ ЛІДЕРСЬКИХ ЯКОСТЕЙ ЗДОБУВАЧІВ ПОЧАТКОВОЇ ОСВІТИ
Authors: Смола Оксана , Сачковська Олена
Published: December 2024

У науково-методичній статті актуалізовано проблему необхідності формування лідерських якостей у початковій школі. Обґрунтовано умови, підходи, методи, форми роботи з учнями 4 класу на уроках інтегрованого курсу «Я досліджую світ», у позакласній діяльності. Запропоновано ресурси, що сприятимуть виявленню та розвитку лідерства в освітньому процесі. Визначено методичні підходи до процесу формування організаторських здібностей молодших школярів. Досліджено типові освітні програми, розроблені під керівництвом Р. Б. Шияна та О. Я. Савченко, з інтегрованого курсу «Я досліджую світ» щодо вимог, конкретних очікуваних результатів навчання, особистісного розвитку й зростання молодших школярів. Набули поширення ідеї Шона Кові. Розроблено рекомендації щодо того, як організувати освітній процес із використанням практик «7 звичок щасливих дітей». Підготовлено поради для педагогів, добірку прийомів із формування лідерських якостей у початковій школі.
ІМПЛЕМЕНТАЦІЯ НОРМ УКРАЇНСЬКОГО ПРАВОПИСУ (2019) В ЗАКЛАДАХ ОСВІТИ МИКОЛАЇВЩИНИ
Authors: Кузнєцова Анастасія
Published: December 2024

У науково-методичній статті розкрито практичні аспекти впровадження чинних орфографічних норм у закладах освіти Миколаївщини протягом 2019–2024 рр. Визначено основні виклики на шляху до імплементації Українського правопису (2019) та особливості його адаптаційного періоду. Проаналізовано основні методи й форми вдосконалення орфографічної грамотності педагогів Миколаївської області. Висвітлено роль компетентнісно та діяльнісно орієнтованого варіативного модуля «Український правопис–2019» та авторського навчального курсу «Правописна грамотність сучасного освітянина» в лінгводидактичній підготовці педагогічних працівників. Уперше запропоновано розробку тренінгу «Варіантні й інваріантні нововведення Українського правопису (2019)» як складника зазначеного курсу.
ПСИХОЛОГО-ПЕДАГОГІЧНИЙ СУПРОВІД УТВЕРДЖЕННЯ УКРАЇНСЬКОЇ НАЦІОНАЛЬНОЇ ТА ГРОМАДЯНСЬКОЇ ІДЕНТИЧНОСТІ ПЕДАГОГІВ ДОШКІЛЬНОЇ ОСВІТИ
Authors: Олійник Лія
Published: December 2024

У науковій публікації розкрито питання психолого-педагогічного супроводу утвердження української національної та громадянської ідентичності педагогічних працівників дошкільної ланки в умовах післядипломної освіти. За результатами аналізу основних досліджень і публікацій із окресленої проблеми   уточнено сутність дефініцій «психолого-педагогічний супровід», «утвердження української національної та громадянської ідентичності педагогів» та сформульовано власне визначення поняття «психолого-педагогічний супровід педагогів дошкільної освіти». Висвітлено хід анкетування, застосованого на першому аналітично-констатувальному етапі особистого наукового дослідження. Наведено приклади здійснення психолого-педагогічного супроводу педагогів закладів дошкільної освіти з означеного питання під час війни.
PROTEÇÃO INTEGRAL E CONVIVÊNCIA FAMILIAR: A CRIANÇA MIGRANTE INDOCUMENTADA NO ÂMBITO DOS DIREITOS HUMANOS
Authors: Santos Maurício Cleber Miglioranzi
Published: December 2024

É notório que o território brasileiro possui vasta extensão fronteira terrestre, formando 16.886 quilômetros que abrangem países tanto da América do Sul, quanto territórios ultramarinos. Do mesmo modo, possui também 33 cidades gêmeas[1], os quais apresentam fluxos migratórios intensos, especialmente a partir de 2015, com o aumento da migração venezuelana em Pacaraima/RO, por exemplo. Nesse contexto, crianças e adolescentes migrantes enfrentam vulnerabilidades extremas, agravadas pela falta de documentação e medidas que dificultam o vínculo familiar. O presente estudo foca na realidade de Corumbá/MS, na fronteira com a Bolívia, cujo assunto torna-se recorrente no que se refere a separação familiar de menores indocumentados, analisando a legislação nacional, bem como normas de convenções internacionais, à luz da fraternidade e da proteção integral dos direitos da criança e do adolescente.
MODERN TECHNOLOGIES IN ONLINE GROUP PSYCHOTHERAPY
Authors: Тимошенко Л.Б.
Published: December 2024

Положение психотерапии на данный момент стремительно набирает популярность. Все больше людей проявляют интерес к услугам как личной, так и групповой психотерапии, рассказывают об этом в социальных сетях, делятся с близкими. Мировые события и развитие интернета привели к укреплению психологического консультирования в виртуальном пространстве, что вызывает любопытство исследователей.

The position of psychotherapy is now rapidly gaining popularity. More and more people are showing interest in both personal and group psychotherapy services, talking about it on social networks, sharing it with their loved ones. World events and the development of the Internet have led to the strengthening of psychological counseling in the virtual space, which arouses the curiosity of researchers.
Cytotoxic Effects of Cananga odorata Essential Oil on p53 Protein and TP53 Gene Dynamics in Non-Melanoma Skin Cancer
Authors: Anuar Muhammad Ashraf Fithri , Zamani Muhammad Razin , Aminuddin Amirul Hakim , Omar Wan Fatein Nabeila Wan , Radzuan Hazulin Mohd.
Published: December 2024

Skin cancer remains one of the most common cancers worldwide. Cananga odorata essential oil (CO EO) has shown potential anticancer and antioxidant properties, suggesting its application as a topical treatment for skin cancer. The objective of this study is to assess the cytotoxic effect of CO EO on non-melanoma skin cancer, TP53 gene expression, and p53 protein expression. The methodology involves HFF1 (human foreskin fibroblast) and A431 (human epidermoid squamous carcinoma) cell lines treatment with CO EO at 125, 250, and 500 μg/mL for 24 h. Morphological changes were observed under light microscopy. p53 protein expression and secretion were assessed using western blot. TP53 gene expression was quantified using real-time PCR. Our results show that CO EO treatment caused dose-dependent morphological changes in A431 cells, with increased non-viable cells observed. There was a 1.3-fold increase in p53 protein secretion in A431 cells treated at 250 μg/mL of CO EO. TP53 gene expression in A431 cells was significantly downregulated at 125 μg/mL (p = 0.03), while in HFF1 cells, TP53 was upregulated. To conclude, CO EO demonstrates cytotoxic effects on A431 cells, associated with altered p53 protein secretion and TP53 gene expression. Further studies are needed to elucidate its molecular mechanisms and therapeutic potential.
Takeaways From the COVID-19 Epidemic Progression and Combating Strategies in Southeast Asia
Authors: Aliyu Basiru , Chee Hui Yee , Wong Mui Yun , Sekawi Zamberi Bin
Published: December 2024

Southeast Asia grappled with an early wave of COVID-19 cases, witnessing a spike in 2021 and early 2022 before vaccination efforts led to a decline. Governments in the region adopted diverse strategies, including lockdowns and public health measures, tailored to each country's cultural and socioeconomic landscape. This article delves into the COVID-19 outbreak across the 11 member countries, encompassing all ASEAN nations and Timor-Leste. It highlights the region's progression from low infection rates in 2020 to heightened mortality in 2021, followed by a drop in cases as vaccination coverage increased. Despite shared challenges, disparities in culture, wealth, and political context influenced the implementation and effectiveness of containment measures.
Assessment of Antioxidant, Antimicrobial and Wound Healing Potential of Golden Chicken Fern (Cibotium barometz (L.) J. Sm.) Methanolic Extracts
Authors: Rosdin Nursyamila Izzatie , Khayat Mohd Ezuan , Chia Suet Lin , Halim Murni , Wasoh Helmi , Sobri Zulfazli M.
Published: December 2024

Cibotium barometz (L.) J. Sm., also known as the golden chicken fern, is valued in traditional Chinese medicine, particularly for its rhizome and golden hairs, which are reputed to have medicinal properties. However, there is limited scientific evidence supporting the wound-healing properties of its golden hairs. This study aims to evaluate the antioxidant, antimicrobial, and wound-healing potential of extracts from these hairs. The golden hairs were extracted with 80% methanol to isolate bioactive compounds. Antioxidant activity was measured using the DPPH radical scavenging assay, and total phenolic content (TPC) and total flavonoid content (TFC) were assessed. TFC was found to be higher than TPC, with values of 331 ± 0.011 mg QE/g and 67.36 ± 0.014 mg GAE/g, respectively. The antimicrobial properties of the extract were tested against Staphylococcus aureus, Bacillus cereus, Escherichia coli, and Serratia marcescens using agar well diffusion; no inhibition zones were observed, indicating a lack of antimicrobial activity. Further assays, including cytotoxicity and wound scratch tests on normal human dermal fibroblast (NHDF) cells, revealed that the extract did not promote wound healing and suppressed NHDF cell growth at a concentration of 10 mg/mL. In conclusion, while C. barometz golden hairs are traditionally valued, this study found limited antioxidant activity and no antimicrobial or wound-healing efficacy in the extract.
Phenolic Content and Antioxidant Capacities at Different Stages of Berangan Banana Ripening
Authors: Shahdan Surinawati , Majaliwa Nuria , Nyamete Frida , Omar Nor Adila Mhd
Published: December 2024

Bananas are widely consumed for their nutritional value, but the optimal ripening stage for maximizing health benefits remain unclear. This study investigated the total phenolic content (TPC) and antioxidant capacities of Berangan bananas across seven ripening stages. TPC was measured using the Folin-Ciocalteu assay with gallic acid as the standard, while antioxidant activities were evaluated via 2,2-diphenyl1-picryl-hydrazyl-hydrate (DPPH) and cupric reducing antioxidant capacity (CUPRAC) assays, with ascorbic acid as the standard. Results indicated that stages 1 (8.543±0.268 mg GAE/g), 2 (8.646±0.034 mg GAE/g), and 7 (8.99±0.059 mg GAE/g) had the highest phenolic content, while stage 5 had the lowest (6.756±0.069 mg GAE/g). The strongest DPPH scavenging activity was observed at stages 5 and 6, with IC50 values of 25.92 μg/mL and 25.28 μg/mL, respectively. The highest CUPRAC value was found at stage 2, measuring 34.027±0.027 mg AAE/g at 100 μg/mL. These findings suggest that bananas consumed at different ripening stages offer varying antioxidant benefits, which could influence dietary choices for optimal health. This study highlights the therapeutic potential of bananas as a functional food, providing natural antioxidants that beneficial consumer health and nutrition. Further research may expand on these findings to explore therapeutic applications of banana antioxidants.
The effect of Atherogenicity index in Type 2 Diabetes mellitus patients and it is association with chronic cardiovascular complications of the disease
Authors: Bohan Alyaa Hasan
Published: December 2024

Atherosclerotic cardiac disease (ASCVD) is a significant health issues among people who have Type 2 diabetes mellitus (T2DM). Diabetic patients experience ASCVD-related consequences 14.6 years faster than non-diabetic individuals. The main goal of the study was to assess the relevance of the atherogenic index of plasma (AIP) and other lipid-related indicators in predicting ASCVD risk in Iraqi T2DM patients.
Material and method: The Diabetes Research Centre at Mustansiriyah University in Baghdad compared 50 individuals with T2DM (25 males and 25 females) to 50 healthy controls. We measured anthropometrics, fasting blood sugar (FBS), HbA1c, and lipid profiles
Results: T2DM patients had significantly greater levels of FBS, HbA1c, TC, TG, LDL, and VLDL, as well as lower levels of HDL than controls (p < 0.001). AIP, computed as log(TG/HDL), was likewise raised in diabetes individuals. Female T2DM patients had greater FBS and HbA1c values than males. Patients and controls showed significant disparities in anthropometric measurements, including waist-to-hip ratio (WHR) (p < 0.001). Conclusion: These documented results show the crucial impact of AIP and lipid profiles in determining cardiovascular risk in T2DM patients, emphasizing the importance of early intervention and management measures in this high-risk population.
Prototype Design for Massive Open Online Courses: “Educação On” Project
Authors: Azevedo Daniel , Sequeira Romeu , Lopes Pedro , Guedes Damiana , Lopes Carlos
Published: December 2024

This article is part of the "Educação ON" project, an initiative aimed at studying the current state of distance education and developing an innovative digital platform to promote more interactive and collaborative learning environments. This project focuses on creating effective models of Massive Open Online Courses (MOOCs) for higher education, facilitating the dissemination of knowledge among university students in distance learning contexts. This particular study focuses on validating a MOOC course model adapted to higher education students, tested during the 2022/2023 and 2023/2024 academic years. The research was conducted by a multidisciplinary team of lecturers from a Portuguese higher education institution, with the participation of students from Portugal and Brazil, aiming to improve student engagement and retention in this educational context. The article presents a theoretical approach to the MOOC course prototype design, followed by the analysis of successful and unsuccessful cases. Additionally, it compares the characteristics, advantages, and disadvantages of different authoring software, culminating in the selection of the most appropriate technology for prototype development. This initial phase lays the groundwork for future implementations and tests within the project aimed at higher education students.
Diversity of orchid species in the Kalaena Nature Reserve, Mangkutana District, East Luwu Regency
Authors: Jasman Jasman , Karim Hadijah Azis , Witno Witno , Batari Putri Andi Utami
Published: December 2024

Orchid belongs to the Orchidaceae family which has ecological value as a habitat provider for animals such as ants and termites. Based on their habitus, orchids are classified into epiphytic and terrestrial orchids. This study aims to determine the diversity of orchid species in the Kalaena Nature Reserve, Mangkutana District, East Luwu Regency. Data collection was carried out for two months, from May to June 2021. This study used an analysis of the important value index, ecological index and environmental parameters. The results showed that there were 24 types of orchids consisting of 20 types of epiphytic orchids and 4 types of terrestrial orchids with a total number of 134 individuals. The highest INP value was Cymbidium finlaysonianum, which was 43.54 and the lowest was Taeniophyllum sp., which was 5.60. Based on the diversity index (H') is classified as moderate with a value of 2.37-2.38, the wealth index (R) is classified as low with a value of 1.79-1.97, the evenness index (E) is classified as low with a value of 0.88-0 .96, the dominance index (D) is low with a value of 0.09-0.13 and the highest similarity index (IS) is in lanes 2 and 3, namely 57%.
NEON Instruction Set Efficiency and their Use in Coding Theory Problems
Authors: Pashinska-Gadzheva Maria , Bouyukliev Iliya
Published: December 2024

A large number of algorithms solving Coding Theory problems involve operations on vectors over finite fields. The use of extended CPU registers and instructions is suitable for the optimization of these algorithms. Current work presents the Neon instruction set for the ARM architectures used in Apple's M series of processors. A method for their application in algorithms for finding weight characteristics is considered. Some basic similarities and differences with extended vector instructions available in other architectures are presented. Their performance is compared with non-vectorized methods.
Cupping to extract scorpion venom: a simulation study
Authors: Sánchez-Guzmán Salvador , Sánchez-Guzmán Ismael , Sánchez-Guzmán María Teresa
Published: December 2024

ANTECEDENTES. Se conoce como alacranismo la inoculación de toxinas del alacrán al organismo a través de su picadura. Como
método de primeros auxilios a los afectados, existen en el mercado aparatos denominados extractores, que, a través del principio
de ventosas, absorben el veneno.
OBJETIVO. Comprobar la eficacia teórica de los kits extractores de veneno en casos de alacranismo.
MATERIAL Y MÉTODO. Se hizo una compra online del kit, y se intentó replicar un accidente escorpiónico, mediante medio de
contraste que simula el veneno, realizando estudios radiográficos en diversos momentos, para ver la distribución del veneno y la
capacidad de absorción del extractor, en un voluntario sano.
RESULTADOS. No se absorbió sustancia alguna con el extractor. En 120 minutos se distribuyó la sustancia por todo el cuerpo.
CONCLUSIONES. El extractor de veneno es totalmente ineficaz para casos de alacranismo, siendo peligroso su uso