bluuebunny/crossref_metadata_2025 huggingface dataset:
An Exploration of Gary Snyders English Translation of Han Shans Poems from the Perspective of Manipulation Theory
Authors: Wang Sifan
Published: August 2024

This essay delves into Gary Snyders English translation of Han Shans poems from lens of the manipulation theory. The manipulation theory, originated in the field of translation studies, argues that translations are not mere reproductions of the original texts but are shaped by various ideological, cultural and historical factors. From the perspective of Lefeveres manipulation theory, translators and their translation activities are inevitably manipulated by three elements: ideology, poetics and patronage. Han Shan, a Tang Dynasty poet renowned for his Zen Buddhist-influenced works, has gained significant attention from translators including Snyder, a leading figure in the American Beat Generation and a profound student of Zen Buddhism. In examining Snyders translation, the essay explores the embodiment and influence of ideology, poetics and patronage. By employing Manipulation of Translation, this essay aims to provide a nuanced understanding of Snyders translation and sheds new light on how translators, like Snyder, can serve as cultural mediators, shaping our understanding and appreciation of foreign literary works.
The Role of Emotional Intelligence in the Therapeutic Process of Counselling Psychology
Authors: Lang Lang
Published: August 2024

Emotional intelligence (EI) has garnered significant attention in the field of psychology, particularly within the realm of counselling psychology. Defined as the ability to recognize, understand, manage, and utilize emotions effectively in oneself and others, emotional intelligence has been found to play a crucial role in personal and professional success. In the context of counselling psychology, emotional intelligence is especially pertinent, influencing both the therapist's effectiveness and the therapeutic outcomes for clients. This paper aims to explore the multifaceted role of emotional intelligence in the therapeutic process, examining its impact on the therapeutic relationship, intervention strategies, and client outcomes, and providing insights into how emotional intelligence can be integrated into counselor training and practice.
Empowering Female Voices: The Impact of Produce 101 on Self-Worth and Gender Equality
Authors: Pan Shiyu
Published: August 2024

Reality television has become a dominant cultural force, influencing views and ideals. Produce 101, a Chinese talent competition show, goes beyond entertainment to empower its female competitors and promote gender equality. This qualitative study dives into the show's mechanics, examining its impact on female participants' self-esteem and its role in shaping viewer attitudes. Based on 10 in-depth interviews with senior talent show fans, the study investigates audience involvement, candidate development, and societal standards. The findings highlight the show's significant impact on empowering women and promoting gender equality narratives. providing valuable insights for individuals considering reality TV participation, emphasizing the importance of self-confidence, resilience, and determination. It showcases how contestants on Produce 101 leveraged their experiences to advance their careers and advocate for gender equality, inspiring others to pursue their passions and embrace empowerment. By highlighting the transformative potential of reality television, this study underscores its role in shaping a more inclusive and equitable society, demonstrating that reality TV can be a powerful platform for social change.
Analysis of Sidewalk Traffic Lights Setting Modes Optimization
Authors: Pan Zebin
Published: August 2024

There are often some problems with the traditional setting mode of traffic lights, especially on some non-main roads. The unreasonable setting of pedestrian traffic lights can easily lead to empty spaces for people and vehicles, waste resources, and increase the risks of traffic congestion, Although the push-button traffic lights improves traffic efficiency, there is still a waste of waiting time for pedestrians and vehicles due to the fixed setting of the traffic time. This article mainly studies the use of machine learning to solve the recognition, motion direction, and time models of people and vehicles, and optimize pedestrian traffic light signals. By identifying pedestrians and vehicles and allocating release signal time reasonably, the waiting time of pedestrians and vehicles crossing the road can be reduced, and traffic accidents can be minimized. The optimized traffic system is applied to sidewalks on non-main roads, it can replace the push-button traffic lights, reduce manual intervention, save construction costs, and improve traffic efficiency.
Facade and Envelope Design in Architecture--The Evolution, Technological Innovation, and Visual Expression
Authors: Wu Yichen
Published: August 2024

This essay explores the evolution, technological innovation, and visual expression of facades and envelopes in modern architecture through the lens of three seminal case studies: Notre Dame Cathedral in Paris, Mies van der Rohe's Farnsworth House, and Walter Gropius's Bauhaus School. These case studies highlight the transformative impact of architectural design principles on building aesthetics and functionality. The Notre Dame Cathedral introduced a revolutionary structural system that liberated the facade from its traditional load-bearing role, allowing for expansive stained-glass windows and intricate stone carvings that set the stage for future architectural innovations. Mies van der Rohe's Farnsworth House exemplifies the minimalist approach, emphasizing transparency and the seamless integration of interior and exterior spaces. The Bauhaus School, under Gropius's leadership, merged art, technology, and craftsmanship, creating a new architectural language characterized by simplicity and functional beauty. Through a detailed analysis of these projects, the essay provides insights into the enduring influence of these architectural milestones on contemporary design practices.
Enhancing Public Education of Water Resource Conservation Through Urban Landscape: A Case Study of Bishan-Ang Mo Kio Park in Singapore
Authors: Wang Xiangyi , Li Huanyang
Published: August 2024

This paper delves into the revitalization of Bishan-Ang Mo Kio Park (BAP) along the Kallang River in Singapore, which has evolved from a polluted canal to a resilient, recreational, and educational landscape. The study is set within the broader context of the "Active, Beautiful, and Clean (ABC) Waters Initiative" initiated by the Public Utilities Board in 2006, emphasizing the convergence of spatial design, governmental collaboration, and public education in enhancing water resource management. The research objective is to scrutinize the role of policy and design in cultivating public consciousness towards water conservation within the BAP project. Employing literature review, questionnaire surveys, and case study analysis, this research intends to uncover strategies that can effectively engage the public in water resource protection, especially in densely populated urban settings with constrained water availability and flood threats. The study seeks to provide valuable insights for urban planners and policymakers on the significance of integrating educational aspects into public projects to achieve enduring sustainability and community resilience.
The Comparison Between Random Forest and LSTM Models Based on the Gold Price Prediction
Authors: Pan Xueyan
Published: August 2024

The gold price forecast is crucial for financial institutions, investors, mining firms, and associated enterprises. Precise price prediction is especially important in the gold market because of its volatility and unpredictability; this has important consequences for strategy formulation and decision making. In order to give practitioners a better prediction technique to increase the accuracy of market trading, the aim of this study is to assess the predictive effectiveness of the two models in predicting the gold market. The study forecasts gold prices using the Random Forest and Long Short-Term Memory (LSTM) models, comparing their performances using five assessment metrics. The end findings prove that the Random Forest method outperforms the LSTM model in comparison. In particular, the Random Forest model predicts more accurately and with less inaccuracy. The study finds that, while the Random Forest model is more accurate, both the LSTM model and the Random Forest model are appropriate techniques for gold market projections. To increase the precision and consistency of the predictions, future studies will keep refining the LSTM model and look for causes for its subpar performance.
Research on Relationship Between Governance Structure and Corporate Performance of Chinese Technology Companies
Authors: Liu Mingtian
Published: August 2024

In the post-pandemic age of 2023, the economy is in recovery. Despite the distinctive qualities of technology firms, such as quick development and high levels of innovation, they face problems such as economic downturns and funding issues. As a result, the corporate governance structure is critical to guaranteeing the firms' long-term viability. The purpose of this article is to examine 252 publicly traded technology companies and investigate the link between corporate financial performance and corporate governance arrangements. This article used Ordinary Least Squares (OLS) analysis to look at the link between board independence, Chief Executive Officer (CEO) duality, ownership concentration, and return on equity (ROE). The regression findings indicate a negative association between ROE and the proportion of independent directors. However, there is no substantial association between the duality of ROE and the CEO, and ROE has a U-shaped relationship with ownership concentration. The study's findings imply that corporate executives and regulators should adopt an effective monitoring mechanism to ensure the impartiality and reliability of independent directors' oversight. To ensure strong financial performance, organizations should maintain appropriate levels of independent director percentages and stock concentration.
Research on the Correlation Between Improved Corporate Composite Scores and Stock Prices in the Context of Carbon Neutrality
Authors: Zhang Haokun
Published: August 2024

The stock market attracts many investors because of its high risk and high return characteristics. Therefore, it is of strong practical value to find a scientific and effective evaluation method for listed companies and explore its relationship with stock prices. This article combines the financial and non-financial data of listed companies from 2020 to 2023 to provide a composite score for companies based on the improved Wall Marking Way, and uses the Pearson correlation coefficient and regression analyses to investigate the correlation between the score on stock value. It is found that there is a significant positive correlation between comprehensive score and stock price, which proves the feasibility of the scoring method. On this basis, this article further explores the relationship further through regression analysis. The experimental results provide a scientific and reasonable index for evaluating the comprehensive ability of enterprises, and also provide an important reference basis for investors' investment decisions.
Investigation and Analysis of McDonald's Market Development
Authors: Su Xinquan
Published: August 2024

As a large restaurant chain, McDonald's is affected by different external and internal factors, which makes investors begin to question its sustainable operation ability. This study takes McDonald's as an example to explore the development issues of the catering industry through its business situation. This article studies the sustainability of McDonald's stock price in the future and evaluates its continued investment potential. Therefore, based on the financial data of McDonald's and its competitors during the period from 2020 to 2023, the expected value is estimated by combining quantitative research methods and relative value evaluation methods. The results of the study show that McDonald's financial performance in the past few years has been good, including good capital structure, short-term debt repayment ability and profitability. Investors can make a long-term investment in McDonald's stock based on a sound financial position and good market expectations. This study has important practical significance for the healthy development of catering.
Investment Value Analysis of Enterprise: Taking ZARA as an Example
Authors: Lyu Wenqi
Published: August 2024

This paper mainly expounds some financial problems encountered in the analysis of corporate investment value by taking the Spanish clothing and accessories brand ZARA as an example. As a leading brand in the field of fast fashion, ZARA will inevitably be affected by social and economic factors such as funds, distribution and development background during its development. This paper uses the very common SWOT analysis method to carry out a very detailed analysis of ZARA company, and at the same time uses the relevant financial indicators and market value analysis method to analyze the internal and external value development process of the company. Finally, as the first generation of fast fashion brand, ZARA's development in the market is not very stable. Although this paper has carried out a more detailed analysis, it contains a lot of theoretical elaboration, so it does not rule out the possibility of other influencing factors.
Analysis of the Development Status and Existing Problems of Apple Company
Authors: Xu Zihan
Published: August 2024

Understanding and analyzing the development of technology companies is crucial for the healthy development of the industry. This article takes Apple as an example and focuses on analyzing the current development status and trends of the enterprise based on its financial situation. Intended to address two issues: one is Apple's recent financial performance; Another challenge it will face. This article uses case analysis method and SWOT analysis to focus on exploring the strengths, weaknesses, opportunities, and threats faced by an Apple company. The research results indicate that the current financial development status of an Apple company is good, but it still faces some competitive pressure in the future. Although it has certain market advantages, efforts will still be made from both internal and external environmental aspects in the future. This study takes Apple as the research object, and the research conclusions can provide reference value for future researchers. At the same time, it has important practical significance for the healthy development of Apple in the future and better understanding of the development trends of technology companies.
Analyzing Enterprise Valuation of Mergers and Acquisitions (M&A) and Reorganization
Authors: Lu Zhongqiu
Published: August 2024

In terms of annual gross tonnage, China's shipbuilding sector ranked second in the world in 2019. CSSC integrated the industrial chain through M&A, eventually becoming the world's first shipbuilding group six years later. The purpose of this research is to investigate if the third merger and reorganization are propelling CSSC to become the world's first shipbuilding group. This article will utilize the event observation method and financial accounting analysis to investigate how the third merger and reorganization affected CSSC's value. The third M&A restructuring announcement has boosted market participants' expectations for the industry and CSSC's future prospects. However, CSSC faces pitfalls. First, the current absence of net profit implies that the underlying business is lucrative. If CSSC intends to pursue future M&A, it may need to lower its current asset-liability ratio to a more secure level in order to improve the competitiveness of its primary activities and increase profitability.
Suicidal ideation detection on social media using machine learning: A review
Authors: Sheng Zhuo
Published: August 2024

Suicide remains a critical global health issue, with over 800,000 deaths annually and profound impacts on individuals and their communities. The increasing role of social media platforms in expressing personal struggles has highlighted the potential of these platforms for early detection of suicidal tendencies. Advances in machine learning and natural language processing (NLP) have revolutionized this detection process, allowing for more accurate identification of suicidal ideation in social media posts. This review examines the integration of machine learning algorithms in suicide detection, including the use of multi-layered neural networks for analyzing textual, audio, and visual data. It explores various machine learning models and their performance in predicting suicide attempts, with a focus on their accuracy, precision, and recall. The review also discusses applications such as real-time monitoring systems and emergency response mechanisms, emphasizing how these technologies can enhance early intervention and support. By surveying current research and identifying challenges and future directions, this review aims to provide a comprehensive understanding of how machine learning can significantly contribute to suicide prevention efforts through effective social media monitoring.
Leveraging AI automated emergency response with natural language processing: Enhancing real-time decision making and communication
Authors: Li Zesheng
Published: August 2024

Artificial Intelligence (AI) and Natural Language Processing (NLP) technologies play an essential role in the ongoing development and advancements of emergency response systems. This paper explores the new opportunities and possibilities offered by the incorporation of AI-driven automated emergency response systems, and the benefits of using NLP to increase the efficiency of human language processing and communication in real time. Using case studies and applications, we analyse how integrating AI and NLP technologies can reduce response times, improve situational awareness and coordination between emergency services. We then explore how AI-driven models can be used to predict natural disasters, optimise emergency vehicle routes and identify areas of need in real time through the analysis of social media and emergency communications via NLP. However, we also discuss the issues that come with implementing these technologies, such as data-privacy challenges, technical limitations and the need for sustained retraining of AI systems. The conclusions of this research indicate that continued collaboration between stakeholders is necessary to overcome these barriers, and that substantial innovation is needed to maximise the potential of AI and NLP technologies in emergency management.
A review of the development of YOLO object detection algorithm
Authors: Liang Junbiao
Published: August 2024

The You Only Look Once (YOLO) algorithm series, as the forefront of object detection technology, has evolved from YOLOv1 to YOLOv10, consistently enhancing detection speed and accuracy. Through literature review and data analysis. This paper mainly discusses the development processes of the YOLO algorithm series, focuses on the changes and innovations in network structure, training strategies, and performance optimization. By introducing techniques, such as CSPNet, Anchor-free, data augmentation, and multi-scale training, the YOLO algorithm has progressively found a better balance between detection speed and accuracy, demonstrating excellent performance in processing real-time images and handling high-complexity scenarios. Furthermore, this paper also addresses some challenges faced by the YOLO algorithms and potential future research directions, such as the lower accuracy in detecting small targets and reduced robustness in complex scenarios. Through analysis, potential optimization directions for the future include further refining network structure and employing more efficient training methods to enhance algorithm efficiency. This paper intends to offer a thorough performance evaluation of the YOLO series algorithms, identify potential areas for future improvements to advance YOLO technology.
Study on the impact of camera ISP algorithms on stripe structured light 3D reconstruction and the improvement of 3D reconstruction accuracy by photon input
Authors: Wan Liyang , Chu Xi
Published: August 2024

This paper investigates the impact of camera image signal processing (ISP) algorithms on stripe structured light 3D reconstruction and explores the improvement of 3D reconstruction accuracy by photon input. Existing 3D reconstruction technologies have broad applications in fields such as intelligent manufacturing, healthcare, and consumer electronics, but their high precision requirements often cannot be met by current ISP algorithms. By using handheld devices to capture images and combining key techniques such as the multi-step phase shifting method, multi-frequency phase unwrapping method, and triangulation method, this paper conducts an in-depth study on the application of photon input in 3D reconstruction. The study demonstrates that using non-visual information (RAW images) as input can significantly improve reconstruction accuracy, producing more accurate results compared to images processed by ISP. The paper also quantifies the impact of ISP processing on 3D reconstruction results by comparing the depth information and point cloud data of two sets of images. Experimental results show that disabling certain ISP algorithms, such as bilateral noise filtering (BNF), edge enhancement (EEH), and non-local means denoising (NLM), can further improve reconstruction accuracy and reduce errors. In conclusion, this paper proposes a photon image-based 3D reconstruction method that, combined with artificial intelligence technology and differentiable point cloud rendering techniques, holds promise for achieving higher precision and faster 3D reconstruction. This technology is of great significance in practical applications, particularly in the field of industrial close-range 3D reconstruction.
Analysis of Aliyun-based serverless on MapReduce efficiency
Authors: Wei Peng
Published: August 2024

In the context of the current era of big data, traditional Hadoop and cluster-based MapReduce frameworks are unable to meet the demands of modern research. This paper presents a MapReduce framework based on the AliCloud Serverless platform, which has been developed with the objective of optimizing word frequency counting in large-scale English texts. Leveraging AliCloud's dynamic resource allocation and elastic scaling, we have created an efficient and flexible text data processing system. This paper details the design and implementation of the Map and Reduce phases and analyses the impact of vCPU and memory specifications, as well as parallel resource allocation on system performance. Experimental results show that increasing vCPU specifications significantly improves processing capacity and execution efficiency. While the impact of memory specifications is relatively minor, it can positively influence performance in specific scenarios. Parallel processing markedly enhances system performance. Experiments on "Harry Potter and the Sorcerer's Stone" validate the framework's performance across various configurations. This study offers valuable insights for the design and optimization of serverless-based MapReduce frameworks, as well as suggesting future enhancements. These include the implementation of advanced parallel computing strategies, improved error handling, and refined data preprocessing, which collectively aim to boost system performance and stability.
GazeLink: A multi-language low-cost mobile eye-gesture communication system with large language models for people with amyotrophic lateral sclerosis
Authors: Sun Xiangzhou
Published: August 2024

Amyotrophic Lateral Sclerosis (ALS) patients who have severe motor and speech impairments mostly rely on their eyes and assistive technology to communicate. However, existing high-tech products are expensive and hard to access, while low-tech products are inefficient and restrictive. To mitigate the limitations, this research proposes GazeLink, a multi-language low-cost mobile application for ALS patients to communicate efficiently with only eye movements. First, the system recognizes user eye gestures like left or up with machine learning and a template-matching algorithm. Then, it converts the eye gestures to words through a keyboard that supports English, Spanish, and Chinese. For efficiency, the system employs Large Language Models (LLMs) to generate a suitable sentence with words typed by the user and the context. Finally, the system provides text-to-speech and social media post services for both verbal and digital eye-gesture communication. Simulations conclude that sentence generation with LLMs can reduce user keystrokes by 81% while maintaining 90% of semantic similarity. Usability studies with 30 participants show that GazeLink can recognize eye gestures with 94.1% accuracy in varying lighting. After rapidly learning the user interface in under 10 attempts, first-time participants typed sentences of various lengths with their eyes at 15.1 words per minute, which is 7.2x faster than the common low-tech solution E-Tran. Experiments demonstrate GazeLinks efficiency, learnability, and accuracy in eye-gesture text entry. The system is extremely affordable (less than $0.1 a month), portable, and easily accessible online. It also supports different users, lighting, smartphones, and languages. Product testing with ALS patients and personalized LLM models will be the next step.
DERİN ÖĞRENME İLE ASFALT ÇATLAKLARININ TESPİTİNDE VERİ ARTIRIMI VE EVRİŞİMSEL BLOK SEÇİMİNİN ETKİSİ
Authors: Topbaş Zahide , Erdaş Çiçek Özlem , Gülcü Şaban
Published: August 2024

Petrolün rafine işlemi sonucu yan bir ürün olarak oluşan asfalt, yol çalışmalarında kullanılan en önemli malzemelerdendir. Asfalt yollarda trafik, iklim ve çevre, yapım ve tasarım hataları, malzeme hataları gibi etkenlerden dolayı deformasyonlar, ayrışmalar ve çatlaklar meydana gelmektedir. Bu bozulmalar asfalt yolun kalitesini düşürmekte ve kazalara sebep olmaktadır. Bu çalışma, onarım ve altyapı iyileştirmelerinin sağlanması için çatlaklar gibi asfalt hasarlarının tespitini iyileştirmeyi amaçlamaktadır. Çalışma kapsamında, Mendeley Data'nın "Asfalt Çatlak Veri Seti" üzerinde eğitilmiş bir derin öğrenme modelini kullanarak, çatlak görüntüleri %96'yı aşan bir doğruluk oranıyla sınıflandırılmıştır. Bu araştırma, derin sinir ağlarının endüstriyel uygulamalarda kullanımının ürün kalitesini iyileştirme potansiyelini ortaya koymaktadır.
The Pillar 2 Directive and the Qualified Domestic (Minimum) Top-up Tax Puzzle
Authors: Hrdlicka Lukas
Published: August 2024

The article argues for using a teleological interpretation of the Pillar 2 Directive to allow EU Member States to comply with Pillar 2’s soft law requirements for the qualified domestic minimum top-up tax (QDMTT) and its safe harbour (SH). This interpretation is necessary because the directive’s text is not aligned with certain requirements under Pillar 2 soft law since the directive was adopted before the Inclusive Framework issued any administrative guidance. Without the teleological interpretation, EU Member States cannot comply with the qualified domestic top-up tax (QDTT) requirements and, therefore, cannot attain its SH. This would decrease taxpayers’ legal certainty and undermine EU Member States’ fiscal interests.To pursue the argument, the article analyses Pillar 2’s soft law, i.e., the model rules, the commentary, and two sets of administrative guidance related to the QDMTT and its SH, and compares their provisions with the relevant provisions of the Pillar 2 Directive. Consequently, the study offers solutions to discrepancies between these two sets of rules and joins a broader discussion regarding the relationship between EU tax law and soft law.
Analysis of Development Trend of Financial Securitization in China under Global Economy
Authors: Zhao Piwei
Published: August 2024

Financial securitization refers to the conversion of bank loans and other assets into negotiable securities that can be sold and circulated in the financial market, also known as asset securitization. Under the background of economic globalization, in recent years, the overall development trend of China's financial securitization is good, and the proportion of securities is also expanding with the economic development in various fields. However, financial securitization also faces more and more difficulties and challenges. This paper first introduces the development process of financial securitization in China, analyzes the development characteristics and problems of financial securitization in China, and finally, combined with the current background of global economic integration, comprehensively analyzes and predicts the development trend of financial securitization in China.
Research on the Development Strategy of Integrated Seed Sales Industry
Authors: Ge Zeyang , Liu Lei
Published: August 2024

The seed sales industry has achieved rapid development with mankind entering the Internet era. In recent years, the seed sales industry has developed rapidly, and competition within the industry has continued to intensify. In order to achieve commercial benefits, there are many irregularities in the industry chain. Currently, solving various irregularities in industrial development and achieving industry breakthroughs are urgent problems to be solved. This study proposes an industrial development strategy for the integration of seed sales, which involves the use and combination of information system technology and comprehensive sales platforms to achieve the integration of seed research and development, production, sales, transportation, and after-sales services, as well as value co creation throughout the seed sales industry chain, promoting high-quality and sustainable development of the industry.
AS NOVAS GERAÇÕES DE ALUNOS: DESAFIOS E OPORTUNIDADES NA EDUCAÇÃO DO SÉCULO XXI
Authors: Sousa Raynher Taylon de , Amaral Carmem Lúcia Costa
Published: August 2024

Considerando que as novas gerações de alunos, nativas digitais, possuem um relacionamento íntimo e constante com a tecnologia, objetiva-se, neste estudo, compreender como as novas gerações de alunos influenciam o processo educacional no século XXI. Para tanto, procede-se à pesquisa bibliográfica nas bases de dados Google Acadêmico, Scielo e Periódico CAPES. Foram selecionados artigos em língua portuguesa, publicados entre 2014 e 2024. Desse modo, observa-se que ao ensinar para essa nova geração de estudantes, os educadores são desafiados a inovar e adaptar suas práticas pedagógicas para engajar esses estudantes, o que permite concluir que a escola contemporânea precisa equilibrar a integração de novas ferramentas tecnológicas com a manutenção de valores educativos fundamentais.
Efectos biológicos y terapéuticosde Cibotium barometz, planta de la medicina tradicional: Revisión exploratoria.
Authors: Rivas-García José Luis , Torres-Gómez Nayely , Silva-De Hoyos Luisa Elena , Argueta-Figueroa Liliana
Published: August 2024

Abstract. This review aims to provide a current overview of the evidence for the biological and therapeutic effects of Cibotium barometz and its poten-tial to treat various conditions. The present review was performed following the PRISMA-ScR guidelines. The search used PubMed, Scopus, Web of Science, Embase databases, and Google Scholar. The information extracted from the studies was synthesized qualitatively. Through the search, 902 records were found, of which, after the selection process, 17 full-text articles were evaluated, but only 14 articles met the eligibility criteria and were included in this review. The reported biological and therapeutic activities of Cibotium barometz are antioxidant, antimicrobial, antiviral, anticancer pretreatment, stimulation of chondrocyte proliferation, osteoprotective, and hepatoprotective.The evidence found suggests that C. barometz has various biological and therapeutic effects both in vitro and in vivo, which is why it is a relevant topic that could be consid-ered to establish a more significant number of phytochemical characterization studies, as well as clinical studies that provide solid evidence and determine other possible therapeutic uses.
TRADITIONAL AFRICAN ART IN THE RUSSIAN CONTEMPORARY ART MARKET: PRICING ISSUES AND SALES METHODS
Authors: Пудова П.А. , Карпов А.В.
Published: August 2024

Традиционное африканское искусство как художественное явление с начала прошлого столетия выступает предметом коллекционирования, репрезентации, продажи. А способ реализации предметов на арт-рынке отличается разнообразием: от французских брокантов, нишевых интернетмагазинов до крупных галерейных и аукционных продаж. Рассмотрена специфика современного арт-рынка традиционного африканского искусства в России: цены, институции, ассортимент. Проведен анализ влияния факторов ценообразования в зависимости от типа, региона происхождения, принадлежности этнической группе. Приведена статистика рынка на основе каталогов продаж галереи «Афроарт» и интернет-магазина «Архетип».

Traditional African art as an artistic phenomenon has been the subject of collecting, representation, and sale since the beginning of the last century. The way objects are sold in the art market is diverse: from French brocades, niche online stores to large gallery and auction sales. The specifics of the modern art market of traditional African art in Russia are considered: prices, institutions and assortment. The analysis of the influence of pricing factors depending on the type, region of origin, belonging to an ethnic group is carried out. Market statistics are presented based on the sales catalogs of the Afroart gallery and the Archetype online store.
MAIN TRENDS IN THE PROMOTION OF JEWELRY BRANDS ON THE RUSSIAN MARKET
Authors: Ушакова Е.К. , Мутья Н.Н.
Published: August 2024

Активное развитие ювелирной отрасли в последние десятилетия привело к появлению большого количества новых ювелирных брендов, а также повлияло на рост конкуренции. Из-за этого брендам постоянно приходится придумывать новые способы привлечения аудитории и продвижения своих изделий: взаимодействие с аудиторией в социальных сетях, большое количество рекламы, привлечение звезд. В статье будут рассмотрены не только эти, но и другие способы продвижения на примере нескольких ювелирных брендов.

The active development of the jewelry industry in recent decades has led to the emergence of a large number of new jewelry brands, and also influenced increased competition. Because of this, brands constantly have to come up with new ways to attract audiences and promote their products: interaction with audiences on social networks, a large number of advertisements, involvement of celebrities. The article discusses not only these, but also other methods of promotion, using the example of several jewelry brands.
A Study of Consumer Awareness and Investor Attitude toward Mutual Fund and SIP
Authors: Devi Dr. Shobha
Published: August 2024

Our study looked into what people know about mutual funds and SIPs and how they feel about investing in them. We asked questions and talked to different people to find out what they think. We found that some people know a lot about these investments, while others don't know much. People's feelings about investing in mutual funds and SIPs varied, too. Some liked the idea because it can help grow their money, while others were worried about losing money or found it too complicated. We also found that many people don't invest because they don't understand or are afraid of the risks involved. To help more people invest, we suggest making information easier to understand and helping people feel more comfortable with investing. Our study gives important insights for anyone trying to make investing easier and more accessible to everyone. In conclusion, our study sheds light on the different perspectives people have on mutual funds and SIPs. It highlights the importance of breaking down barriers to investing and making financial opportunities more inclusive for all. By addressing these challenges, we can empower more people to take control of their financial futures and make informed decisions about their money. Key Word: Mutual Funds, SIPs, Investments, Financial Opportunities.
Quantum Cryptography in Modern Cybersecurity
Authors: Sozol Md Shariar , Rahman Md Mostafizur , Islam Md Minhazul , Saki Golam Mostafa
Published: August 2024

This article tends to deal with the fast-evolving world of quantum cryptography, specifically the concept of quantum key distribution (QKD), which has significant importance in modern-day cybersecurity scenarios. The most notable feature of quantum cryptography is its ability to ensure safe communication through principles borrowed from quantum mechanics such as entanglement and superposition. The research comprehensively analyses discrete-variable protocols (DVQKD) and continuous-variable ones (CVQKD), closely investigating their potential roles as re-inventors of secure communications owing to increasing cyber threats. In principle, quantum cryptography is invulnerable to all forms of attacks; however, there are numerous challenges to its implementation including high deployment costs, technology limitations and complex integration with existing systems for protecting data. This paper presents an elaborate state of today's quantum cryptography capturing its advancements, active research efforts as well as barriers towards increased use in build systems based on resistance against attacks utilizing properties specific to quantum mechanics. Key Words: Quantum Key Distribution (QKD), Post – Quantum Cryptography (PQC), Discrete-Variable (DVQKD) and Continuous-Variable (CVQKD), Quantum Superposition, Crypto-Attacks.
Health Education Tentang jajanan Sehat Pada Anak Pra Sekolah di RA AL-MA’UNAH Desa Mojojejer Mojowarno Kabupaten Jombang
Authors: Ratnaningsih Tri Ratnaningsih , Siti Indatul Laili  , Tri Peni
Published: August 2024

Pre-school age children are a period when children tend to be more active and energetic. They need good nutrition in addition to energy from food to support their growth and development as well as their daily activities. Consuming a balanced diet ensures that their nutritional needs are met. A balanced diet also helps children stay healthy and develop good eating habits, which will form a solid foundation for their future health. Snacks or food in the school environment sometimes does not guarantee the cleanliness and nutritional content of these snacks. Diseases that occur as a result of unhealthy snacking behavior can lead to health problems such as cancer, poisoning, food borne disease as well as growth and development disorders in health at the age of preschool children. The location for implementing community service is at RA AL-MA'UNAH, Mojojejer Village, Mojowarno Regency, Jombang Regency, where to meet the snack needs of students at RA AL-MA'UNAH, Mojojejer Village, Mojowarno Regency, Jombang Regency, they buy snacks from newcomers and regular sellers. Students before going to school and at 09.00 WIB when taking a break buy these snacks even though the teachers always suggest bringing their own food from home. The purpose of implementing this community service activity is that RA AL-MA'UNAH students in Mojojejer Village, Mojowarno Regency, Jombang Regency understand the importance of healthy snacks while at school so that they are used to living healthy after school through health education on healthy snacks by the Community Service team from Bina Sehat university PPNI Regency. Mojokerto. The method we use in community service is Health education about healthy snacks for RA AL-MA'UNAH students, Mojojejer Village, Mojowarno, Jombang Regency. The result of this health education is that RA AL-MA'UNAH, Mojojejer Village, Mojowarno, Jombang Regency, is able to understand and implement buying healthy snacks at school and at their respective homes.
DAMPAK APLIKASI TIKTOK TERHADAP PERILAKU SOSIAL GENERASI Z DI DESA GEJUGAN KECAMATAN PAJARAKAN KABUPATEN PROBOLINGGO
Authors: BABUL BAHRUDIN BABUL BAHRUDIN , Silviyana
Published: August 2024

Penelitian ini bertujuan untuk menganalisis dampak aplikasi Tiktok  terhadap perilaku generasi Z di Desa Gejugan Kecamatan Pajarakan Kabupaten Probolinggo. Fokus kajiannya yaitu 1) dampak aplikasi tiktok terhadap perilaku generasi Z di Desa Gejugan Kecamatan Pajarakan Kabupaten Probolinggo, 2) peran orang tua terhadap perubahan anak akibat penggunaan aplikasi Tiktok.  Penelitian ini menggunakan pendekatan kualitatif dengan jenis penelitian studi kasus. Teknik pengumpulan data dilakukan melalui wawancara mendalam,observasi dan dokumentasi. Keabsahan data digunakan teknik triangulasi sumber dan triangulasi teori. Teknik analisis data menggunakan pengumpulan data, reduksi data, penyajian data, verifikasi data atau  kesimpulan. Hasil penelitian ini menunjukkan bahwa aplikasi tiktok sangat berdampak terhadap perilaku sosial remaja baik itu dampak negatif maupun juga dampak positif yaitu 1) kecanduan dan lupa waktu, 2) merubah gaya hidup dan norma sosial, 3) berpengaruh terhadap kemampuan interaksi sosial remaja, 4) terpaparnya konten yang tidak pantas. Dampak positifnya yaitu membantu sebagai bahan pembelajaran atau membantu dalam menyelesaikan tugas-tugas sekolah, serta juga memberikan informasi-informasi baru. Peran orang tua dalam mengatasi dampak dari penggunaan aplikasi Tiktok yaitu dengan menasehati, melarang, diberikan teguran, dan sebagainya.
PROBLEMATIKA IMPLEMENTASI KURIKULUM MERDEKA PADA MATA PELAJARAN IPS
Authors: Zurohman Ahmad , Desi Anisatul Hasanah
Published: August 2024

Tujuan dari penelitian ini adalah untuk memahami masalah yang muncul dalam implementasi kurikulum merdeka di MTs Ainul Hasan Wonorejo, Kecamatan Maron, Kabupaten Probolinggo. Rumusan masalah penelitian ini mencakup bagaimana implementasi kurikulum merdeka dilakukan, apa saja problematika yang muncul, dan bagaimana guru menghadapi masalah tersebut serta solusi yang mereka lakukan dalam mengimplementasikan kurikulum merdeka pada mata pelajaran IPS di MTs Ainul Hasan Wonorejo, Maron, Probolinggo.
Penelitian ini menggunakan metode penelitian kualitatif dengan pendekatan studi kasus. Tujuan dari penelitian ini adalah untuk untuk mengidentifikasi dan menguraikan problematika yang dihadapi oleh MTs Ainul Hasan dalam mengimplementasikan Kurikulum Merdeka. Pendekatan penelitian digunakan untuk mengumpulkan dan menganalisis data dengan tujuan mencapai tujuan yang diinginkan oleh peneliti. Penelitian ini dilakukan di MTs Ainul Hasan Wonorejo, Kecamatan Maron, Kabupaten Probolinggo. Sumber data yang digunakan dalam penelitian ini meliputi kepala sekolah, guru, dan murid di Ainul Hasan Wonorejo, Maron, Probolinggo. Teknik analisis data yang digunakan dalam penelitian ini mengacu pada konsep Miles dan Huberman. Kedua konsep tersebut menyatakan bahwa analisis data kualitatif dilakukan secara interaktif dan berkelanjutan hingga mencapai titik jenuh.
Berdasarkan penelitian, ditemukan beberapa masalah dalam implementasi kurikulum merdeka pada mata pelajaran IPS di MTs Ainul Hasan Wonorejo, Maron, Probolinggo. Salah satunya adalah kebijakan pemerintah yang dianggap terlalu memaksa. Selain itu, terdapat juga kendala dalam hal sarana dan prasarana sekolah, serta kurangnya pengetahuan guru tentang kurikulum merdeka.
Metode Reward dan Punishment Untuk Mengoptimalkan Sikap Disiplin Anak Usia Dini di TK Harapan Kita Condong Gading Probolinggo
Authors: Putri Loviana Aura Tahlia  , Ivonne hafidlatil kiromi
Published: August 2024

This study aims to improve learning discipline in early childhood at HARAPAN KITA Kindergarten, Condong Gading District, Probolinggo Regency, which includes the way teachers prepare lessons, carry out learning, assess learning, teacher difficulties in learning, and efforts to overcome these difficulties. Discipline is one way to help children develop self-control. Discipline can allow children to have limits to correct their wrong behavior. How to apply child discipline can start at the age of 2-6 through simple things that children do in everyday life such as tidying up toys, washing hands, praying, accepting consequences if they make mistakes, and being responsible with their belongings and taking care of their belongings. others. The attitude of discipline in children aims for children to grow into individuals of high quality, character and skills as role models for society, especially modern society. The application of the Reward and Punishment method is a powerful way to optimize children's discipline. The purpose of this article is to conceptually describe the application of the reward and punishment method to children to optimize discipline
Implementasi Pembelajaran dengan Pendekatan Saintifik dalam Mengembangkan Kemampuan Berpikir Kreatif Anak di RA Annisa 2 Palangka Raya
Authors: Neela Neela Afifah , Muzakki  , Aghnaita
Published: August 2024

Pendekatan saintifik merupakan pendekatan pembelajaran yang bersifat ilmiah dan dapat mengembangkan pola pikir anak, kurangnya pemahaman guru terhadap konsep penerapan pendekatan saintifik dalam pembelajaran menyebabkan kurang maksimalnya implementasi pendekatan saintifik di RA Annisa 2 Palangka Raya. Penelitian ini bertujuan mendeskripsikan implementasi pembelajaran dengan pendekatan saintifik dalam mengembangkan kemampuan berpikir kreatif anak, dalam bentuk perencanaan, pelaksanaan dan evaluasi pembelajaran. Penelitian ini menggunakan metode kualitatif dengan pendekatan deskriptif. Subjek penelitian 1 orang guru dan 16 anak di kelas B2. Teknik pengumpulan data adalah observasi, wawancara dan dokumentasi, teknik pengabsahan data menggunakan triangulasi. Teknik anilis data yaitu pengumpulan data, reduksi data, penyajian data dan verifikasi data. Hasil penelitian menunjukkan bahwa: (1) Perencanaan pembelajaran dengan pendekatan saintifik dalam mengembangkan kemampuan berpikir kreatif anak dibuat oleh guru dalam bentuk RPPM dan RPPH; (2) Pelaksanaan pembelajaran dengan pendekatan saintifik dapat mengembangkan kemampuan berpikir kreatif anak, dalam hal ini guru telah menerapkan lima langkah dalam pembelajaran dengan pendekatan saintifik yaitu, tahap mengamati, menanya, mengumpulkan informasi, menalar dan mengkomunikasikan. Namun, masih kurang maksimal pada tahap menalar; (3) Evaluasi pembelajaran dengan pendekatan saintifik dalam mengembangkan kemampuan berpikir kreatif anak dilaksanakan secara rutin, dalam bentuk pemberian nilai berupa bintang pada setiap hasil karya anak.
Meningkatkan Kemampuan Motorik Halus Melalui Teknik Meronce pada Anak Kelompok A TK PKK Tunas Bangsa Wonorejo
Authors: Zahro Kholivatus , Ivonne Haidlatil Kiromi
Published: August 2024

Penelitian   ini bertujuan untuk   meningkatkan kemampuan motorik halus melalui kegiatan meronce pada anak Kelompok A TK PKK Tunas Bangsa. Jenis penelitian ini merupakan penelitian tindakan kelas secara kolaboratif antara peneliti dan guru kelas. Model penelitian yang digunakan dengan Teknik meronce. Subjek penelitian ini yaitu anak Kelompok A TK PKK Tunas Bangsa, sejumlah 15 anak. Objek penelitian adalah   kemampuan motorik   halus.  Pengumpulan data akan dilakukan melalui observasi dan dokumentasi. Data penelitian dianalisis secara deskriptif kuantitatif.  Hasil   penelitian   menunjukkan bahwa kegiatan meronce yang dilakukan dengan meronce menggunakan manik-manik berukuran sedang dan mengambil manik-manik dengan dua jari yang dilakukan berulang-ulang dapat meningkatkan kemampuan motorik halus. Hasil penelitian menunjukkan yaitu pada prasiklus sebesar 71%, siklus I sebesar 76,14% dan siklus II meningkat menjadi 89,14%. Hal ini berarti terjadi   peningkatan sebesar 5% pada prasiklus menuju   siklus   I dan meningkat 13% pada siklus I menuju siklus II. Hasil tindakan pengenalan melalui Metode Teknik meronce   pada anak kelompok   A menunjukkan peningkatan persentase yang signifikan. Peningkatan persen menunjukkan penggunaan Teknik meronce dapat meningkatkan hasil belajar pada anak.