bluuebunny/crossref_metadata_2025 huggingface dataset:
Aesthetic Ideas in Chinese Calligraphy and Characters
Authors: Song Zimeng
Published: December 2024

Chinese aesthetic thought is rooted in the deep cultural heritage of China, which has been inherited and developed for thousands of years. Aesthetic thought has influenced the development of traditional Chinese art and culture, and also shaped and developed Chinese characters. As a system of symbols for recording Chinese language and passing on culture, Chinese characters have taken on forms that reflect the imprint of Chinese aesthetic thought on Chinese characters. Based on the development of Chinese characters and the evolution of the art of calligraphy, and through the elaboration of the characters hao, zhong and ren, This paper sheds light on the connection between the development of Chinese characters and the art of calligraphy, and how Chinese aesthetic thought contributes to the growth of both. This study reveals how traditional Chinese aesthetics shape the aesthetic form of square characters by analyzing the evolution of Chinese character fonts and traditional Chinese aesthetics. Moreover, calligraphy, as an artistic expression of Chinese character writing, is deeply influenced by aesthetic ideas in its unique writing style and chapter layout.
A Comparative Study of Ethnicity Differences Reflected in Films Mongol: The Rise of Genghis Khan and Old Beast In the Context of Multiculturalism
Authors: Chen Juncheng
Published: December 2024

The transition of Mongolian cinema begins with New Historicist advancements in the post-industrial era. Through comparing Old Beast and Mongol: The Rise of Genghis Khan, this paper examines the development of both old and new Mongolian ethnic cinema, focusing on the factors that contributed to the emergence of new Mongolian cinema. Under the influence of multiculturalism, Inner Mongolia has experienced significant social transformation, shifting from a single-ethnic to a multi-ethnic society. Its people have moved from a traditional nomadic lifestyle to a more settled way of life. Against this backdrop, Inner Mongolia has achieved decentralization of Mongolian culture, showcasing both ethnic diversity and cultural plurality. As a result, Inner Mongolian ethnic cinema no longer focuses solely on portraying Mongolian ethnic traits but instead presents the local way of life through a New Historicist lens. Building on this, Old Beast takes a step further and breaks through the confines of New Historicism by emphasizing "historicity" and "contextualization," providing insights for the further development of Chinese Cultural Poetics. This paper aims to explore the transformation of post-modern Mongolian society and the emerging development of New Historicism as reflected in Mongolian cinema.
A Balanced Application of Anti-discrimination Law in the Games Industry
Authors: Zhang Jianyi
Published: December 2024

This paper explores the successes and failures of "Black Myth: Sun Wukong" and "Concord," two games that highlight the complex implications of enforcing anti-discrimination laws within the gaming industry. It assesses how the drive for diversity and inclusivity, when combined with an overemphasis on political correctness, can gradually estrange users and detract from the overall gaming experience. Furthermore, the paper challenges the potential adverse consequences of anti-discrimination laws on attaining equality, arguing that legal enforcement should strike a balance between creative freedom and social justice to avoid imposing undue restrictions on the industry. Ultimately, the study concludes that, as a prominent medium of cultural expression, the creative space for games must be appropriately protected. Simultaneously, society and the law should strive for more nuanced and balanced approaches to promote the healthy development of the gaming industry and ensure its harmonious integration with societal progress.
Changes in Chinas Mediation Strategies in International Conflict Resolution Since 2013
Authors: Wang Zihao
Published: December 2024

This paper analyzes the evolution of Chinas international mediation strategy since 2013, particularly in the context of the Belt and Road Initiative (BRI). The primary goal is to understand how Chinas mediation efforts have shifted toward greater proactivity, focusing on stability in strategically important regions such as South Asia, the Middle East, and Africa. The paper is significant as it explores Chinas growing role as a global mediator, driven by both economic interests and geopolitical ambitions. Through case studies of conflicts in Sudan, Afghanistan, and Myanmar-Bangladesh, the analysis reveals Chinas focus on high-level, government-centric mediation and its tendency to align with strategic interests. It identifies key flaws, such as over-reliance on elites and lack of impartiality, which limit the effectiveness and sustainability of Chinas efforts. Suggestions for improvement include adopting more inclusive mediation practices, and ensuring greater transparency and neutrality. These recommendations aim to enhance the credibility and impact of Chinas mediation strategy, aligning it with international peacebuilding standards.
The Influence and Challenges of Global Education on Transnational Education
Authors: Yang Feiran
Published: December 2024

The rise of multinational educational institutions in todays global landscape presents both substantial opportunities and significant challenges. These institutions, by expanding across borders, can capitalize on the growing demand for international education, which in turn strengthens their global reputation, increases student diversity, and opens up new markets for educational services. The research primarily focuses on the dual impact of globalization on these institutions, analyzing how they adapt to thrive in various international contexts. However, this expansion is accompanied by a series of challenges, including navigating complex regulatory environments, addressing and respecting cultural differences, and meeting a wide range of educational standards across regions. These institutions must continuously refine and adapt their curricula, technologies, and teaching methodologies to meet the needs of a diverse, international student body. The findings indicate that multinational institutions that strategically balance these opportunities with the challenges posed by globalization are better positioned to succeed in a competitive global education market. In conclusion, while the global educational landscape offers substantial potential for growth, it also requires resilience and strategic planning. Institutions that effectively balance these dynamics are more likely to establish a sustainable foothold in the complex and evolving world of global education.
Comprehensive Analysis and Application Research of Advanced Computational Algorithms in Protein Folding Simulations
Authors: Yin Yue
Published: December 2024

Protein engineering stands at the forefront of biotechnology, aiming to modify natural proteins or create new ones tailored to specific functional requirements. The three-dimensional structures of proteins, particularly their folding patterns, are critical in defining their biological roles. Accurate prediction and detailed examination of these protein folding structures are crucial in protein engineering. The close relationship between protein structure and function highlights the importance of understanding protein folding dynamics to successfully manipulate protein designs for intended uses. Genetic algorithms (GA), taking inspiration from natural evolutionary principles, employ a heuristic search approach that integrates elements of randomness. In contrast, simulated annealing (SA) leverages stochastic optimization techniques based on the Monte Carlo method, theoretically capable of approximating the global optimum with a high degree of accuracy. Additionally, generalized ensemble methods are increasingly used to explore protein folding processes. This paper explores the fundamental principles and practical applications of these algorithms in simulating protein folding dynamics, aiming to enhance the methodologies used in protein engineering. This exploration not only aids in the refinement of protein design but also extends the potential applications of engineered proteins in various scientific and industrial fields.
How does Agricultural Expansion Affect Nipah Virus Ecology?
Authors: Zhou Xinrong
Published: December 2024

In locations experiencing rapid agricultural expansion, the Nipah virus is an emerging zoonotic pathogen that brings about a serious threat to public health. This study looks at the effects that agricultural expansion has on the ecology of the Nipah virus. The study examines the consequences of habitat loss on fruit bat populations, the natural reservoir hosts for the Nipah virus, and how these changes influence bat foraging behaviour and interaction rates with other living organisms. Through reviews of outbreak data, the research identifies a link between agricultural activities and the increased risk of Nipah virus spillover into populations. The findings suggest that the expansion of agriculture disturbs the natural habitats of bats, forcing them to forage near humans and livestock which encourages the virus's spread. The results emphasize the importance of strategies for agricultural biosecurity, wildlife conservation, and land-use planning in order to minimize the potential for Nipah virus outbreaks.
Outlook for Sustainable Utilization of Agricultural Waste and Biomass Fuel and Materials Production
Authors: Zhang Zhongyuan
Published: December 2024

The reasonable and effective treatment and utilization of agricultural production waste is an effective way to deal with energy depletion and climate change. Agricultural waste, including crop straw, livestock manure, agricultural film, pesticide packaging, the waste if improperly handled, can lead to soil, water and air pollution, like remains in agricultural land contains various chemical elements of crop straw and livestock manure, if improperly handled will cause irreversible of soil erosion and pollution. Through resource utilization, these wastes can be converted into organic fertilizers, bioenergy, feed or other valuable products, thus reducing environmental pollution, improving the efficiency of resource utilization, and promoting the sustainable development of agriculture. This study will discuss the technical progress of the treatment mode of agricultural waste in the current technical field, and find out the shortcomings and challenges of the existing technology. China, India, America, Japan, Thailand and many other countries are stepping up their research on biomass energy. The development and utilization of agricultural biomass have a strong competitiveness in the energy market.
Research on Xiaomi's Business Model
Authors: Wang Yangguang
Published: December 2024

In the context of a rapidly evolving technological landscape, it is imperative to gain insight into the fundamental principles underpinning the success of business models in this sector. This paper examines the strategic approach of Xiaomi, a leading technology company, with a view to elucidating the factors that have contributed to its considerable growth and market penetration. This paper focuses on Xiaomi's distinctive business model, which integrates internet, hardware and new retail concepts. It explores the company's value proposition, customer segmentation, sales channels, key resources, partnerships, revenue streams and cost structure through a comprehensive analysis. This paper specifically employs a strategic analysis framework to examine Xiaomi's strategies for building an ecosystem and penetrating overseas markets. The findings indicate that Xiaomi's success can be attributed to a cost-effective marketing strategy, robust Internet marketing capabilities, strategies for adapting to local markets overseas, robust ecosystem partnerships, and a symbiotic ecosystem encompassing smartphones, IoT products, and Internet services.
Analyze the Effect of ESG Long Term Performance from an Accounting Perspective
Authors: Piao Zhenghui
Published: December 2024

This paper explores the effect of environmental, social, and governance (ESG) elements on long term overall performance of agencies, reading from the accounting perspective base on mechanisms and empirical proof. Firstly, this paper mainly looks at the outcomes of ESG overall performance on threat control and value reduction, emblem cost and marketplace recognition, long term funding returns, investor stress and compliance requirements, innovation and aggressive advantage, in addition to long-time period investor relations. Through instances and information evaluation, this paper demonstrates how ESG elements have an effect on the long-time period overall performance of agencies and applicable empirical research will offer assist. Secondly, this paper will demonstrate the combination of ESG elements into accounting practices, reporting and the demanding situations and possibilities in ESG reporting. This paper emphasizes the importance of monetary accounting specialists in making sure accurate, reliable, and obvious disclosure of ESG data to beautify stakeholders' consider and self-assurance in organization long-time period monetary statements. Finally, this paper offer proof from evaluation at the effect of ESG performance on organization long-time period overall performance. This paper will display the findings that agencies with positive ESG performance in all likelihood have better long-time period funding returns and go back on equity, decrease monetary dangers and costs, and much more likely to benefit investor assist and marketplace recognition. This paper presents insights for the effect of ESG elements on long-time period performance of agencies, presenting a few references and steering for commercial enterprise decision-makers and buyers.
How the US Macroeconomic Factors Affect the Gold Price?
Authors: Xiong Haochuan , Zhang Wenhan
Published: December 2024

Nowadays, investing in gold as a hedge against macroeconomic factors risk has been brought into the spotlight. It is essential for investors to predict gold prices before making their hedging decisions. After a thorough study of past precursors, the machine learning method, especially the gradient boosting technique, has been proven to be a powerful method for predicting gold prices. This study tests macroeconomic factors as well as oil prices and uses them as independent variables to predict gold prices. By using advanced machine learning technique: gradient boosting, this study achieves finding the best four factors model. The research shows that oil prices, the U.S. dollar index, interest rate, and GDP growth are significant factors in predicting gold prices. Among all the significant factors, oil price is the most important one. The explicit reasons of this result is because that transportation cost and operation cost of gold mining is largely influenced by oil price. This study lays the foundations for investors to make insightful decisions.
The Impact of Educational Attainment on U.S. Unemployment Rates: A Regression and Log Difference Analysis
Authors: Jiang Linzhe
Published: December 2024

This study investigates U.S. unemployment rates among individuals aged 25 and older, segmented by four distinct levels of educational attainment. Understanding the interplay between education and employment is crucial for effective policy-making and long-term economic planning. To capture these dynamics, a regression model is utilized to derive equations representing the patterns observed in four separate time series, each corresponding to a specific educational group. In addition to this, logarithmic difference analysis is applied to compare these time series, resulting in the creation of three new plots that help further elucidate the relationships between educational attainment and unemployment rates. The analysis of these new plots reveals a narrowing disparity in unemployment rates across various educational levels, suggesting a trend toward convergence. Over time, this indicates a potential reduction in gaps based on educational background. The findings provide valuable insights into the evolving U.S. labor market, highlighting the influence of education on employment outcomes. These insights offer important implications for future policies aimed at reducing unemployment disparities and fostering equitable job opportunities across different educational levels.
Analyzing Alibaba's Stock Price Volatility Before and After COVID-19 with ARIMA
Authors: Li Wanghao
Published: December 2024

This study investigates how the COVID19 pandemic affected the stock value of Alibaba by examining fluctuations in its market performance to and following the outbreak using the ARIMA models. The research utilizes Alibabas closing stock prices from December 2019 to August 2024 to cover both pre-pandemic and post pandemic situations comprehensively. By employing the ARIMA model for analyzing stock performance patterns and projecting market trends the study aims to shed light on the impact of the pandemic, on Alibabas stock value over time. The research results show that Alibabas stock price went through ups and downs along with growth over time; However, the COVID-19 pandemic brought about a lot of unpredictability into the mix, highlighting the necessity for improved forecasting methods that can adapt to sudden market changes effectively. These findings hint at the idea that while the ARIMA model is good at identifying trends in data patterns; it should be combined with techniques to be more prepared for unexpected situations. The study emphasizes how having a diverse investment portfolio is crucial, during times and stresses the importance of keeping up with regulations and making strategic investment choices wisely.
The Impact of US Macroeconomic Factors on Bitcoin Prices: A Vector Auto-Regression (VAR) Model Analysis
Authors: Wang Zizhao
Published: December 2024

Having emerged as a significant asset in the global financial landscape, particularly in the past decade, Bitcoin not only offers a decentralized alternative to financial traditions, but also potential for speculating and value storing. As Bitcoin matures, its impact on financial markets also grows rapidly, making it a critical subject for study. This paper focuses on the impact of seven selected key U.S. macroeconomic factors on Bitcoin prices by running a Vector Auto-Regression (VAR) model and performing Impulse Response Function (IRF) analyses. The indicators aim to stand for macroeconomic aspects including monetary policies, economic and market performance, inflation, commodity prices, and currency value. After obtaining quarterly time series from 2010 to 2024, a VAR model was utilized, attempting to capture dynamic relationships and lagged effects between the variables. The findings are expected to offer insights into Bitcoins dynamic interactions with macroeconomic conditions and prospects, especially for investors considering Bitcoin as a potential hedge in their portfolio and researcher interested in related topics.
Comparative Analysis of Put-Call Ratio and Implied Volatility in the Multi-factor Model
Authors: Huangfu Haoyu , Geng Jiahao , Wang Yansong
Published: December 2024

During the process building multi-factor models to predict the excess return of the S&P 500 Index (SPX),this paper find that Implied Volatility (IV) and Put/Call trading volume (P/C) have different effects when acting as the fifth factor when the other four factors (The Capital Market Factor -CMA, the Profitability Factor-HML, the Relative Strength Index-RSI, and the Dollar Index-DXY) are already fixed in the model. To explain why Put/Call trading volume provides a better explanation for SPX excess return compared to Implied Volatility, this paper employed Granger Causality Tests and the Random-Walk Model by using daily data from August 1, 2014 to May 31, 2024. Statistical tests and robustness checks are also conducted to compare the explanatory power of these models. After the above series of tests, this study finds that the put-call ratio factor is more consistent with the other four factors in the model than the IV factor, and can explain more of the expected return of the S&P500. This studys innovation includes two perspectives, The initial point revolves around showcasing the enhanced forecasting capabilities of the Put/Call ratio in terms of trading volume compared to the Implied Volatility when it comes to predicting SPX returns. The second is highlighting Put/Call ratios value in multi-factor models.
Examining the Market Impact of Social Media Key Opinion Leaders on Investor Sentiment and Financial Market
Authors: Tai Siuyee
Published: December 2024

The rise of social media has transformed Key Opinion Leaders (KOLs) into significant influencers of financial markets. This study examines how KOLs on platforms like Twitter shape investor sentiment and impact stock market performance. The research employs a mixed-methods approach, analyzing social media data and market indicators to map the relationship between KOL statements and market reactions based on the real cases. It explores the psychological mechanisms, such as herding behavior, that amplify these effects. Findings suggest that KOLs can trigger rapid, short-term market movements, particularly among retail investors, leading to increased volatility and potential market inefficiencies. However, the long-term impact of KOL influence on market fundamentals remains less clear. This research highlights the need for updated regulatory frameworks and improved financial literacy to address the challenges posed by social medias growing role in financial markets. By addressing these issues, both regulators and investors can better navigate the increasingly complex landscape shaped by social media-driven financial activity.
Quantitative Easings Relationship with Unemployment: A Linear Regression Study
Authors: Lin Qifang Cherry
Published: December 2024

In recent years, with the development of the economy and society, quantitative easing (QE) has received increasing attention from scholars. The international community is gradually realizing the importance of QE. As a monetary tool, the impact of QE on social unemployment is receiving increasing attention. The author of this paper will investigate the relationships between QE and unemployment in the UK through the application of a Linear Regression model. The analysis will focus solely on the period from 2008 to 2024 to encompass the two big economic challenges the UK experienced and the changes that Quantitative Easing brought since it was first embarked as a monetary tool by the Bank of England. This study aims to provide insights into the effects of Quantitative Easing on Unemployment that could be further used by both policymakers to evaluate the policy and future research. This study has practical significance for fully understanding the importance of QE in society.
Ricci curvature bounded below and uniform rectifiability
Authors: Hyde Matthew , Villa Michele , Violo Ivan Yuri
Published: December 2024

We prove that Ahlfors-regular RCD spaces are uniformly rectifiable and satisfy the Bilateral Weak Geometric Lemma with Euclidean tangents–a quantitative flatness condition. The same is shown for Ahlfors regular boundaries of non-collapsed RCD spaces. As an application we deduce a type of quantitative differentiation for Lipschitz functions on these spaces.
Eriarvoisuuden ja tasa-arvoisuuden kaupunki
Authors: Männistö-Funk Tiina , Elmgren Ainur , Tyvelä Hanna
Published: December 2024

Voisiko paremman kaupungin rakentaa pullasta? Tätä kokeiltiin vuonna 1967, kun muotoilija Kaj Franckin Taideteollisessa oppilaitoksessa ohjaaman Yleisen sommittelun kurssin lopputyönä rakennettiin Helsingin Kallioon väliaikainen leikkikenttä. Kurssilaiset pystyttivät Toisella linjalla sijainneelle tyhjälle tontille kaikenlaista lapsia houkuttelevaa, muun muassa suuren pullaveistoksen. Unkarilaissyntyinen kuvanveistäjä Zoltan Popovits toteutti leikkikentälle taikinasta muovaillun kaupungin pienoismallin, joka oli tarkoitettu syötäväksi.
Naistenlehti kotirintaman ja isänmaan tukena
Authors: Turunen Arja
Published: December 2024

Arvio teoksesta: Seija Aunila & Jukka-Pekka Heiskanen: Kotien salainen armeija. Naiset tiukassa ohjauksessa sotavuosina. Atena 2022. 334 s. ISBN 987-951-1-423-01-0.
Analysis of Working Capital Management in an Effort to Increase Liquidity and Profitability at PT Unilever Indonesia, Tbk
Authors: Imanuddin Imanuddin , Monti Renny , Taliding Arianto
Published: December 2024

This research aims to find out how working capital management and liquidity levels affect profitability at PT Unilever Indonesia, Tbk.The data used in this research is secondary data using a purposive sampling method, namely the financial position report (balance sheet), profit and loss report in the financial statements of PT. Unilever Indonesia, Tbk for the 2016-2023. The type of research is quantitative research because the data used is in the form of numbers which are then analyzed using multiple linear analysis. The results of this research were also tested using classical assumption tests and hypothesis tests. The research test results show that working capital and liquidity (current ratio) partially do not have a significant effect on profitability. Meanwhile, working capital and liquidity (current ratio) simultaneously have a significant influence on company profitability
Making social protection work for gender equality
Authors: Razavi Shahra , Wodsak Veronika , Ramaswamy Krithi Dakshina , Machiels Alix , Orton Ian , Tessier Lou , Behrendt Christina ,   International Labour Organization. Social Protection Department,
Published: December 2024

Attesting to feminist interest in social protection, there exists today a voluminous and growing literature, produced by academics, international organizations, civil society and think tanks, examining the gender content and impacts of social protection policies. The added value of this paper is that it is the first time that the ILO’s Universal Social Protection Department has produced a consolidated message on its perspective and approach to enhancing the gender-responsiveness of social protection policies, anchored in international social security standards and guided by a life-cycle approach to system-building.In so doing, the paper underlines the critical interconnections and need for coherence between social protection policies and economic policies, especially employment policies (focusing on all types of employment), on one hand, and social protection policies and public investment and regulation of social services (especially healthcare and care services) on the other. It also both highlights new data and underlines remaining data gaps that need to be urgently closed to enable the monitoring of the impact of social protection policies on gender equality. It intends to encourage social protection policymakers, as well as social partners and other stakeholders, everywhere to think more systematically about the gender content and impact of social protection when they are advocating for or modifying existing policies, and designing and administering schemes, to better promote gender equality.
Art-Eco
Authors:   St. Kliment Ohridski University of Sofia, Dimova Desislava
Published: December 2024

The starting point for the paper is the Art-Eco Symposium, organised by the Visual Arts Department of the Faculty of Educational Studies and the Arts, Sofia University “St Kliment Ohridski”, and in particular its last edition, held in Kiten in August-September 2023. It was attended by academics from Sofia University, the Academy of Arts “Vl. Strzemiński, Lodz, Magdalena Abakanowicz University, Poznan, Poland, Academy of Arts, Vilnius, Lithuania, etc. The symposium is part of an ongoing focus on ecology, which is expressed not only in the individual work of the participants, but also in exhibitions and international collaborations on the theme, organized by or with the participation of Visual Arts Department’s professors and students since 2021. In the historical context of symposia in nature, where some of the first manifestations of contemporary (unconventional) art took place in Bulgaria (and in most Eastern European countries), I will present the thesis that events like Art-Eco reflect a new engagement with ecology in art institutions. This is an attitude that does not claim to be radical, but is systematic, efficient and honest in terms of possibilities – a trend I call “soft ecology”. “Soft ecology”, as a kind of commentary on the term “soft sciences”, helps us to view ecology as a social science of nature. In the field of art, it allows us to talk about ecology through existing artistic formats, as an element not only of the artistic process and the artwork, but also legitimizing the theme of nature in a institutional and professional environment that is culturally and urban structured.
PROTOTYPE ALAT PAKAN AYAM OTOMATIS DAN MONITORING SUHU KANDANG BERBASIS IOT
Authors: Setiadi Teguh , Tody Inggil Arifiandi
Published: December 2024

Umumnya para peternak ayam masih menggunakan sistim konvensional untuk memberi makan ayam-ayam yang dipelihara. Mereka menggunakan tangan untuk menaburkan pakan pada tilang pakan dan berjalan sepanjang kandang yang mana kandang ayam yang di ternakan sangatlah luas. Kegiatan seperti itu bagi peternak ayam akan menyita waktu dan tenaga. Pemberian pakan ayam dapat dipermudah dengan penggunaan alat mekanik yang dikontrol oleh peralatan elektronik. Tujuan penelitian ini adalah untuk merancang dan membuat alat Pemberi Pakan Ternak Ayam Otomatis Berbasis IoT. Dalam perancangan alat ini, diawali dengan membuat desain alat pemberi Pakan ternak ayam otomatis berbasis IoT. Dimana Servo sebagai pendorong pakan dalam pipa untuk menumpahkan pakan ternak ke tempatpakan. Hasil dari penelitian ini menampilkan kinerja Servo yang berfungsi untuk memberi pakan ayam Otomatis. Adapun hasil dari pengujian IoT yang berfungsi sebagai pengatur waktu pemberi pakan ternak ayam pada alat ini cukup akurat. Hal ini dibuktikan dengan adanya perbedaan antara waktu pada alat dengan waktu pada laptop hanya 1 detik. Dan monitoring Suhu bisa dilihat di LCD, jika Suhu diatas 30 derajat, maka kipas atau fun akan menyala, dan apabila dibawah 30 derajat maka, lampu akan menyala secara otomatis.
SISTEM PAKAR DIAGNOSA KESEHATAN MENTAL PADA REMAJA DENGAN METODE FORWARD CHAINING BERBASIS WEB
Authors: Ayu Puspita Sari Diah , Suradi Agustinus , Windarti Mariana
Published: December 2024

Abstrak
Remaja merupakan salah satu kelompok yang rentan terhadap masalah kesehatan mental. Pengetahuan tentang kesehatan mental perlu dimiliki remaja untuk mempertahankan status mentalnya. Dan Penelitian ini menggunakan metode forward chaining merupakan metode pencarian atau teknik pelacakan ke depan yang diawali dengan pengumpulan informasi yang ada tentang suatu objek dan penggabungan rule untuk menghasilkan suatu kesimpulan atau tujuan. Penelitian ini bertujuan untuk mengetahui hubungan pengetahuan tentang kesehatan mental dengan status mental remaja. Basis pengetahuan (knowledge base) dari sistem pakar ini didapat dari wawancara dengan dokter di RSJD Dr.RM.Soedjarwadi Klaten, website, dan hasil penelitian. Hasil dari penelitian ini adalah sesi pemeriksaan pasien yang berupa dialog interaktif dengan sistem, dan sistem memberikan beberapa pertanyaan mengenai gejala yang dialami oleh pengguna.
Kata kunci: Sistem pakar, Kesehatan Mental Remaja, Metode Forward Chaining, Website
DESIGN OF INFORMATION SYSTEMS FOR EVALUATION OF WEB-BASED LEARNING PROCESSES AT THE FACULTY OF TECHNOLOGY AND COMPUTERS, WIDYA DHARMA UNIVERSITY, KLATEN
Authors: Adri Brawijaya David , Sulistyowati Istri , Retnowati Niken
Published: December 2024

Perkembangan teknologi informasi telah membawa perubahan signifikan dalam banyak bidang,salah satunya adalah bidang pendidikan, termasuk dalam proses pembelajaran di Fakultas Teknologi dan Komputer, khususnya Teknik Informatika di Universitas Widya Dharma Klaten. Evaluasi proses pembelajaran menjadi hal yang penting untuk memastikan kualitas pendidikan yang diberikan kepada mahasiswa. Namun, proses evaluasi yang dilakukan secara manual sering kali memakan waktu dan tidak efisien. Oleh karena itu perlu adanya suatu sistem Informasi yang dibuat khusus untuk evaluasi pembelajaan. Penelitian ini menggunakan metode pengembangan sistem Rapid Application Development (RAD) dan black box testing beserta kuesioner sebagai sistem pengujiannya. Sistem ini dibuat dengan menggunakan bahasa pemrograman PHP dan Javascript, dengan hasil akhir berupa Sistem Informasi Evaluasi Proses Pembelajaran yang akan memiliki beberapa fitur, antara lain pengumpulan dan analisis data evaluasi, serta pelaporan hasil evaluasi. Hasil dari penelitian ini diharapkan dapat memberikan kontribusi dalam meningkatkan kualitas proses pembelajaran di Fakultas Teknologi dan Komputer, khususnya Teknik Informatika. Dengan adanya Sistem Informasi Evaluasi Proses Pembelajaran yang efisien dan terintegrasi, diharapkan dosen dan staf akademik dapat dengan mudah memperbaiki kelemahan dalam proses pembelajaran, serta memberikan umpan balik yang baik kepada mahasiswa sehingga dapat tercipta kondisi yang kondusif dalam belajar.
Pemanfaatan Kacang Hijau (Vigna Radiata L.) sebagai media alternatif pertumbuhan bakteri
Authors: Shari Amalia , Lestari Dian Ayu
Published: December 2024

Pertumbuhan dan perkembangan bakteri sangat dipengaruhi oleh media kultur yang digunakan, namun media pertumbuhan bakteri komersial seperti Nutrient agar sering kali menghadapi kendala seperti harga yang mahal dan sulit diakses di beberapa wilayah. Oleh karena itu, diperlukan alternatif yang lebih ekonomis dan mudah didapatkan. Laporan ini bertujuan untuk mengevaluasi potensi kacang hijau (Vigna radiata L.) sebagai media alternatif pertumbuhan bakteri. Kacang hijau dipilih karena kandungan nutrisinya yang melimpah, seperti protein, karbohidrat, mineral, dan vitamin, yang mampu mendukung pertumbuhan mikroorganisme. Hasil penelitian pada laporan ini menunjukkan bahwa kacang hijau dapat mendukung pertumbuhan bakteri dengan baik, dengan hasil jumlah koloni yang tidak berbeda signifikan dibandingkan dengan Nutrient agar. Kacang hijau terbukti menjadi alternatif yang efektif dan lebih terjangkau, terutama untuk laboratorium dengan keterbatasan akses terhadap media standar. Namun, penelitian lebih lanjut diperlukan untuk menyempurnakan formulasi media kacang hijau agar menghasilkan pertumbuhan koloni yang lebih seragam.
Factors affecting the market value of football players in the Indonesian League
Authors: Al Hazmi Raldin Alif
Published: December 2024

The development of accounting science, especially in human resource accounting (HRA), has progressed rapidly. The understanding of human resources (HR) as a vital asset that has an important role in the success of an organization is growing. This research focuses on measuring the market value of professional football players in the Indonesian League by considering individual performance, especially for players who play as central midfielders. Football players, recognized as intangible assets, have a market value that is closely related to their contribution on the field. The research method used is quantitative with a descriptive approach, examining the relationship between performance variables (goals, assists, number of appearances, yellow cards, and red cards) to player market value. The research data was obtained through secondary data sources from the transfermarkt.co.id website with a sample of 52 Indonesian central midfield players in the 2023 season. The results showed that goals, assists, and number of appearances had a significant influence on the player's market value. Assists and number of appearances show a very strong influence on player prices, while yellow cards and red cards do not show a significant influence. This research provides important insights for football club management in determining the market value of players as part of financial reporting and investment decision-making, and enriches the study of human resource accounting in the football industry. The findings also show the importance of players' positive on-field contributions, such as assists and performances, in determining their market value, beyond disciplinary factors such as yellow and red cards.
Constructing Conversational Meaning: Analysing Side Remarks Within Ongoing Mediated Discourse
Authors: Özsöz Burak
Published: December 2024

Drawing on a discourse analytical approach and Goffman’s concept of footing, this study examines the role of side remarks in interpreter-mediated TV talk shows. While typically secondary to the main conversation, side remarks significantly influence interaction dynamics by shifting the focus toward entertainment and audience engagement. Using transcriptions from a corpus of publicly available video recordings of a Turkish talk show, the study specifically explores how shifts in footing facilitate the fluid negotiation of roles in creating a lively, participatory environment. The study has found that the host employs side remarks to cultivate a playful and informal atmosphere, often diverting attention from the primary dialogue. It has also revealed that interpreters align with the institutional party’s goals in their strategic decisions to withhold the translation of side remarks intended exclusively for audience amusement. Furthermore, the analysis highlights the guests’ awareness of the show’s dynamic structure, demonstrating their ability to adapt to side remarks without disrupting the flow of interaction.
AutoMarineWatcher: Real-Time Maritime Surveillance to Detect Threats using YOLO
Authors: Vadlapati Praneeth
Published: December 2024

Maritime security continues to be a significant challenge due to a rise in piracy and helicopter-based
hijackings of commercial vessels. While current detection and defense systems focus on large vessels and naval
vessels, addressing smaller-scale threats and hijackings remains underexplored. This paper proposes a system called
“AutoMarineWatcher,” which is a novel real-time maritime surveillance solution that uses computer vision by
leveraging an existing object detection model. The system provides two levels of warnings, allowing crew personnel
to observe and initiate subsequent defensive protocols. This allows a reduction in threat response times to enhance
security. The system has demonstrated high accuracy by successfully detecting boats, ships, and helicopters. The
detections have been successful, and the system proved its effectiveness in both detections and alerts. The
performance of the system has been consistent on regular and infrared footage samples. The system ensured the
handling of multiple scenarios in regular lighting conditions and low light conditions. The code is available at
github.com/Pro-GenAI/AutoMarineWatcher.
Keywords: computer vision, real-time surveillance, maritime surveillance, security, early warning, automated
alerts
Harnessing AI and Two Factor Authentication for Enhanced Fraud Detection: How to craft Dynamic Friction in Account Takeover Fraud Detection
Authors: Matta Prabhavathi
Published: December 2024

As cyber threats become increasingly sophisticated, traditional security measures have proven insufficient in
combating these sophisticated Account Takeover fraud attacks as using Artificial Intelligence (AI) in fraud
detection has gained prominence. This represents a significant threat to online security, leading to financial losses
and reputational damage for both individuals and organizations. Two-Factor Authentication (2FA) emerges as a
critical tool in bolstering the effectiveness of AI in account takeover fraud detection. This white paper explores the
role of Two-Factor Authentication (2FA) in enhancing account security and provides a comprehensive guide on its
implementation to dynamically add friction based on the risk.
Keywords: Artificial Intelligence, CyberSecurity, Account Takeover, Digital Fraud Detection, Account
Recovery, Incident Response, Machine Learning, Technology Modernization, Digital Transformation, IT
Modernization, Information Security, Multi-Factor Authentication (MFA), Threat Intelligence, Data
Protection, Encryption, Continuous Monitoring, Incident Response, Compliance, Secure Coding Practices
Data Modeling Essentials: Techniques, Best Practices, and Future Trends
Authors: Sistla Swetha
Published: December 2024

Data modeling, in essence, is based on the process of data structuring and organization to effectively handle,
analyze, and make informed decisions across organizations. This paper reviews the major concepts and methods
significant for modern data architecture in "Data Modeling Essentials: Techniques, Best Practices, and Future
Trends.". We start by considering the base techniques, namely Entity-Relationship and Dimensional modeling, and
look into their applications in operational and analytical data systems. The paper also covers more advanced topics
that include Data Vault modeling for agile data warehousing and NoSQL modeling to accommodate unstructured
and semi-structured data, increasingly important in today's big data era.
The paper also gives an overview of best practices in developing scalable, flexible data models: stakeholder
communication, documentation, and the use of automation tools in accelerating model development and
consistency. Data quality, adherence to regulations, and alignment of models with business objectives are among
the practices identified as crucial in today's fast-moving data environments.

New trends are taking precedence, and data modeling is continuously evolving. We will review the rise of AI-
assisted data modeling, graph database structures for highly interconnected data, and model-driven development to

accelerate system deployments. This paper examines actionable insights for data professionals, IT teams, and
business leaders on how to design robust, agile models that improve the quality of data, enhance decision-making,
and foster innovation in an ever-changing data ecosystem.
Keywords
Data Modeling, Entity-Relationship (ER) Modeling, Dimensional Modeling, Data Quality, Scalable Data Models,
Model Driven Development (MDD), Data Management, Structured & Unstructured Data, Future Trends in Data
Modeling.
The Negative Impacts of Cloud Migration and Redesign of Hybrid Clouds: The mitigation techniques
Authors:   Engineer (Product), Cardinal Health, Kalpinagarajarao Gopikrishna
Published: December 2024

Cloud computing has revolutionized the IT landscape by offering scalable, efficient, and cost-effective solutions.
However, migrating to the cloud and redesigning hybrid cloud architectures can come with significant challenges.
While the benefits of cloud adoption are well-documented, the negative impacts and issues must also be considered to
ensure a smooth transition and sustainable operation.
Keywords: SOA, Cloud computing, Mitigation techniques, Cloud adoption
From Farm to Glass: Championing Local Ingredients in Beverage Creation
Authors: Chaugule Alok Satish
Published: December 2024

The global beverage industry is during a transformation, driven by consumers seeking authenticity,
sustainability, and a closer connection to the sources of their food and drink. As a result, there’s a growing movement
among bartenders, beverage developers, and mixologists to incorporate locally sourced ingredients into their
creations. This trend, often referred to as “farm-to-glass,” mirrors the farm-to-table movement in the culinary world,
emphasizing traceability, seasonality, and the environmental and economic benefits of supporting local agriculture.
In this article, we will explore the key facets of the farm-to-glass approach, including the importance of local
ingredients, sustainability, economic benefits, flavor enhancement, and the creative challenges that come with it. By
understanding these elements, we can appreciate how beverage creators are redefining the landscape of modern
mixology and crafting a more sustainable, community-focused future for the industry.
Keywords: Sustainability, Farm to Glass, Local Ingredients, Environmental Impact, Agriculture, Local Economies,
Farmers, and producers, Locally Sourced, Eco-conscious.
The Rise of Plant-Based and Fermented Drinks: Shaping the Beverage Industry in the Next Decade
Authors: Chaughule Alok Satish
Published: December 2024

This article explores the growing demand for plant-based and fermented beverages, highlighting key drivers,
consumer motivations, and the future of the beverage industry. With health and environmental awareness on the rise,
plant-based and fermented drinks are poised to become staple categories in the market. This trend is catalyzing
innovation, impacting consumer preferences, and transforming product offerings. Analyzing current market data,
case studies, and consumer behavior, this article discusses how these beverages could dominate menus and retail
shelves in the coming years.
Keywords: Plant, Fermented Drinks, Probiotic, Low Sugar Alternatives, Alternative Protein Sources,
Biotechnological advancements, Low- ABV Drinks, Market Expansion.
Kafka and Evolution of messaging systems: Impact and adaptability for Middleware
Authors: Kalpinagarajarao Gopi Krishna
Published: December 2024

In the evolving landscape of software development, messaging systems play a critical role in ensuring seamless
communication between distributed systems. Java Messaging Systems, particularly Java Message Service (JMS), have
been pivotal in enabling reliable and asynchronous communication between applications. Over the years, Message
Queues (MQ) like IBM MQ and Apache ActiveMQ have built upon JMS principles, further enhancing their robustness.
The advent of Apache Kafka marked a revolutionary shift, addressing limitations of traditional MQ systems and
redefining how modern applications handle data streams. This paper explores the evolution of messaging systems, with
a focus on MQ and Kafka, and examines their impact on Service-Oriented Architecture (SOA) and integration.
Keywords: JMS, Messaging systems, MQ, RabbitMQ, SOA, Middleware, Kafka, ActiveMQ
Bridging Tradition and Innovation: How Classic Beverages Are Being Reinvented with Modern Flair
Authors: Chaughule Alok Satish
Published: December 2024

The world of beverages, both alcoholic and non-alcoholic, has long been rooted in tradition. Yet, recent years have
seen an unprecedented blending of time-honored recipes with modern techniques and technologies, creating an
innovative landscape that appeals to contemporary palates. This article explores how classic beverages are being
reinvented using molecular mixology, sustainable practices, advanced culinary techniques, and new technologies.
These innovations strike a delicate balance between honoring the past and pushing the boundaries of what’s possible,
ensuring that timeless beverages continue to evolve and captivate future generations.
Keywords: Classic beverages, Molecular Mixology, Sustainability, Culinary Techniques, Beverage Innovation,
Cocktail Reinvention
The implementation of multicultural education in Indonesian elementary education system
Authors: Bahtiar Reza Syehma , Wuryandani Wuri , Sujarwo Sujarwo , Wibowo Amiruddin Hadi , Suryarini Diah Yovita
Published: December 2024

Known as multi-ethnic country, Indonesia, may face multi-cultural challenge if it is not managed properly. Accordingly, multi-cultural education required in the early stage of education, in elementary school. This paper aims to describe what multicultural education means in the Indonesian elementary education system, and how it is implemented. This study used literature review research design to review various literatures and see the multicultural system within teaching and learning in Indonesia. The data collected from various literatures of previous research on multicultural education and Indonesian elementary education system. Teachers should adjust their teaching to be more equitable and depend less on teacher-centric relations, and provide more room for students to participate in multicultural activities. Additionally, it is seen that multicultural education should not only be limited to a course subject, but embedded in every aspect of elementary education. Insights from this analysis offers an approach to the implementation of multicultural education in Indonesian elementary education system.