bluuebunny/crossref_metadata_2025 huggingface dataset:
Progress in Alzheimer's disease and treatment
Authors: Wang Siyu
Published: December 2024

Alzheimer's disease has a large disease burden on middle-aged and elderly people, and has become an important disease of clinical concern. At present, the incidence of Alzheimer's disease in China is relatively high, and the incidence rate is relatively high in the world. AD is a neurodegenerative disease that is related with -amyloid-containing plaques and tau-containing neurofibrillary tangles. Its symptoms include amnestic cognitive impairment and non-amnestic cognitive impairment. The curing of AD now mainly relies on NMDA receptor antagonists and Cholinesterase inhibitors. Recent researches also focus on more specific ways for curing AD. This article will provide an overview of the pathogenesis of Alzheimer's disease and its current treatment progress, and lay the foundation for further future treatment strategies.
The Impact of User Experience and Emotional Response on the Purchase Behavior of Chinese Consumers Within the Context of the She-economy
Authors: Xu Ai
Published: December 2024

Abstract: With the rise of the "She -economy," female consumers' attention to and willingness to purchase national products are increasing. This paper focuses on the female consumer group, exploring their user experience and emotional responses during the process of purchasing national products, and how these factors affect their willingness to buy national products. The paper collects relevant data through a questionnaire survey and uses SPSS 27.0 for statistical analysis of the data. The results show that female user experience and female emotional response have a significant positive effect on purchase intention, with female emotional responses playing an important mediating role. This paper enriches the research content of the "She-economy" theory and provides new insights for understanding female consumer behavior. At the same time, the research results have practical significance for both enterprises and female consumers.
The Comparative Analysis on the Impact of the Great Financial Crisis and the COVID-19 Shock in Response to Macroeconomic Policies
Authors: Li Chufan
Published: December 2024

Abstract: The Global Financial Crisis (GFC) and the COVID-19 pandemic shock have similarities and differences. They both cause major economic downturn, affecting the normal functioning of the society. The cause and impact of them are different since the GFC is an internal shock whereas the economic downturn brought by the COVID-19 pandemic is an external shock that cannot be predicted. The corresponding expansionary fiscal and monetary policies are also slightly divergent. This research compares the economic impact of the GFC and the COVID-19 shock, specifically in China, focusing on the policy responses in different situations. Based on the analysis of the impact of the policies implemented in the GFC, the four-trillion investment proposed in 2008 was not a sustainable fiscal policy since it had made the government highly in debt. In 2020, the government also employed expansionary fiscal policies, but instead of spending on basic infrastructure, it concentrated on the advanced technology and service industry. Further, this paper suggests that the government could spend more on new investment plan like 5G technology to revive the economy during the aftermath of the pandemic.
Research on the Impact of International Students on US Housing Markets
Authors: Wang Yichen
Published: December 2024

The affordability and availability of housing for university students in the United States have become increasingly challenging, especially for international students. This study investigates the impact of international student university enrollment on local housing markets, specifically focusing on Fair Market Rent (FMR) Efficiency. Understanding this relationship is essential for policymakers, university administrators, and local governments as they seek to balance housing supply and demand. This study employs a fixed effect regression model, the primary variables include international student ratios, unemployment rates, median household incomes, real GDP per capita, and university enrollment ratios. By analyzing panel data from 50 U.S. states between 2020 and 2023, this study aims to quantify the influence of international students on FMR Efficiency while accounting for state-level heterogeneity. The results reveal a significant positive correlation between international student ratios and FMR Efficiency, particularly in states with numerous higher education institutions and robust economic profiles. This finding highlights the need for targeted housing policies to manage the increased demand and ensure affordability for all residents.
Analysis of the Impact of Government Policies on Supply and Demand in China's Real Estate Markets in First-tier and Second-tier Cities
Authors: Zhang Chenyang
Published: December 2024

Due to changes in demographics, urbanization, and economic development, the Chinese real estate market has intrigued many analysts in the last three decades. To begin with, it is necessary to know more about the nature of this market since it plays an essential role in the country's economic development and in improving the standard of living of its population. The importance of the real estate industry cannot be overemphasized in the context of China, specifically in terms of the financial structure, urbanization, and social welfare. Hence, evaluating government policies in this regard is crucial to understand further, how and why they work or fail, along with the impact on the growth of cities. Thus, this paper aims to provide an overview and qualitative analysis of the Chinese real estate market's government policies between first- and second-tier cities, focusing on supply and demand. The actual policies include purchase restrictions, availability of land, and monetary policies, and the effects of actual policies are discussed for various tiers of cities. The study establishes that first-tier cities are highly priced and competitive due to high supply and demand, while second-tier cities are variably priced and could be oversupplied. These issues need more profound and local policy suggestions to understand specific heterogeneities of various Chinese urban property markets and strive for the mutual and relatively balanced growth of different city clusters.
Research on the Development of the Bike-Sharing Industry Based on the SCP Analysis Model: A Case Study of OFO
Authors: Chen Chenglin
Published: December 2024

With the rise of the sharing economy, the bike-sharing industry initially experienced rapid growth as an effective solution to the urban "last mile" problem. The emergence of bike-sharing not only transformed people's travel habits but also attracted significant capital investment, driving the industry's swift expansion. However, as the market became saturated and competition intensified, the industry encountered an unprecedented downturn. This paper utilizes the SCP (Structure-Conduct-Performance) model to analyze the development trajectory and challenges of the bike-sharing industry from three perspectives: market structure, business conduct, and business performance. By selecting OFO bike-sharing as a case study, the research extracts common issues faced by the industry from the lessons of OFOs operational failures. These issues include not only the intensity of market competition but also improper capital management and deficiencies in corporate governance. Through this analysis, the paper aims to provide insights for future companies to better assess and manage potential risks, thereby achieving sustainable development.
Why Does the Gender Gap Exist in China's Labor Market after the Economic Transition?
Authors: Huang Ning
Published: December 2024

After China's economic reform, the gender gap in China's labor market has emerged and gradually widened, and this issue has also attracted the attention of the Chinese government. This paper introduces the existing gender differences in China's labor market in terms of labor participation rate, occupational attainment, and income. Employing a combination of literature analysis and factor analysis, this study scrutinizes the primary factors contributing to gender disparities, which include but are not limited to human capital theory, gender segregation, gender discrimination, marital dynamics, and gender role expectations. Finally, the essay proposes some solutions for individuals, enterprises, society, and the government to narrow the gender gap in China's labor market to promote the development and progress of society.
Research on the Impact of Internet of Things (IoT) Technology on Logistics Warehouse Management
Authors: Zhou Yuxiang
Published: December 2024

As a consequence of the evolution of the times, Internet of Things technology has made remarkable progress in the field of logistics and warehouse management. Its application promotes the intelligence of logistics management. This has the effect of markedly enhancing the efficiency of logistics management, thereby facilitating the accelerated growth of the logistics industry. This paper begins by examining the current state of logistics warehouse management and the fundamental principles of IoT technology and its application in the field of logistics. It then proceeds to discuss the challenges faced by traditional logistics warehouse management in China. This paper analyses how the application of IoT technology can significantly improve the efficiency of logistics management, and provides an in-depth discussion on the development trend of logistics warehouse management. The objective of this paper is to illustrate the pivotal role of IoT technology in logistics warehouse management and to highlight its beneficial influence on the prospective evolution of the logistics industry.
The Impact of E-commerce Development on Regional Economy, Household Income, and Population Mobility: An Empirical Study Based on Zhejiang Province from 2000 to 2021
Authors: Tan Qiaoxi
Published: December 2024

This study explores the impact of e-commerce development on regional economic growth, household income, and population mobility in Zhejiang Province from 2000 to 2021. Using a dynamic panel data model, the paper analyzes the influence of e-commerce, measured by Taobao Villages, on economic performance and migration patterns across counties. The results reveal a significant negative correlation between e-commerce development and economic growth, suggesting that in the short term, the increase in operational costs may outweigh the benefits. However, e-commerce significantly enhances the income of both urban and rural residents and indirectly influences population mobility by attracting labor back to small and medium-sized cities and rural areas. This study provides critical insights for policymakers in balancing the economic impacts of e-commerce and addressing population dynamics.
Analysis of Corporate Governance Structure in Technology Enterprises: A Case Study of NIO's Dual-Class Share Structure
Authors: Sun Ruizhe
Published: December 2024

The equity structure could influence a companys control and decision-making efficiency, which is closely related to the stable operation and performance of various enterprises. Several technology enterprises in China's capital market have abandoned the traditional "one share, one vote" equity system, instead adopting a dual-class share structure. In order to further inform the differences that technology companies will experience after adopting such a particular ownership structure, we collect abundant corresponding information from companies and researches from scholars. NIO has great research value in the rapidly changing industry currently. This paper uses NIO as an example to analyze the company's operational conditions under its dual-class share structure, including financial status, management changes, and financing activities. Furthermore, we discuss both the practical and theoretical evaluations of the dual-class share structure nowadays and explore the concept of a sunset clause. Finally, we summarize the paper and provide an outlook on the future adoption of dual-class share structures by technology companies.
Comparative Analysis and Reconstruction of the Fama-French Three-Factor, Five-Factor and Carhart Four-Factor Models on U.S. Consumer Discretionary Market
Authors: Hao Jiaqi
Published: December 2024

The stock market has been studied and analyzed by scholars and investors for a long time. This paper aims to compare the applicability of the Fama-French three-factor (FF3F), five-factor (FF5F), and Carhart four-factor models (Carhart 4F) in the U.S. consumer discretionary sector. For the market return, data is obtained from the U.S. Consumer Discretionary Sector ETF (VCR), covering a period from 2014 to 2024, comprising 120 months. Regression results indicate that the FF3F model performs the best, explaining 89.41% of the returns. Although the FF5F and Carhart 4F models show slight improvements, additional factors (WML, RMW, CMA) are statistically insignificant. A restructured model that contains market premium (Rm-Rf), size (SMB), and investment (CMA) factors is proved to be more effective, with market premium and small-cap stocks, as well as high investment firms, driving higher returns. This research provides experiential evidence on the efficacy of factor models in the U.S. consumer discretionary sector's stock market.
Sentiment Analysis in Green Finance with LLMs
Authors: Chen Tongfei
Published: December 2024

Green finance has gained global significance as governments and financial institutions emphasize sustainable investment. Understanding the sentiment of green finance reports can provide valuable insights into public perception, investor sentiment, and policy reception. This study uses three different models FinBERT, GPT-3.5 Turbo, and GPT-4o -- to perform sentiment analysis on over 1000 reports obtained from the International Finance Corporation (IFC) website. To assess the accuracy of the models, this paper manually labeled the sentiment of the reports into three categories: Positive, Negative, and Neutral. We compared the models outputs using standard metrics such as F1-score, Accuracy, Precision, and Recall. The findings indicate that GPT-3.5 Turbo outperforms the other models in terms of accuracy. GPT-4o shows superior performance compared to Finbert which trained on financial texts in extracting sentiment from general text. Even though FinBERT and GPT-4 have stronger financial text processing capabilities, GPT-3.5 Turbo can often capture the true intent and sentiment of the text more quickly and clearly, especially when trained on a relatively small text corpus. Its generalization and speed make it efficient for less complex financial tasks.
Peran Media Poster Gambar Dua Dimensi dalam Meningkatkan Kemampuan Bercerita Anak Usia Dini
Authors: Ariyani Ariyani
Published: December 2024

Pendidikan bertujuan membina dan mengembangkan potensi anak usia dini agar dapat tumbuh dan berkembang secara optimal sesuai dengan tipe kecerdasannya. termasuk perkembangan keterampilan bahasa dan kemampuan bercerita. Aktivitas pembelajaran di sekolah belum efektif karena penggunaan media pembelajaran belum  sesuai dengan karakteristik dan usia anak didik. Media poster gambar dua dimensi menyajikan ilustrasi melalui gambar yang hampir menyerupai kenyataan dari suatu objek atau situasi sehingga mudah diingat secara visualisasi membantu anak memahami dan mengingat cerita dengan lebih baik. Penelitian ini bertujuan untuk meningkatkan kemampuan bercerita pada anak usia 5-6 tahun melalui penggunaan media poster gambar dua dimensi. Metode penelitian yang digunakan adalah deskriptif kualitatif, dengan teknik pengumpulan data melalui wawancara terstruktur, observasi langsung, dan dokumentasi. Hasil penelitian yaitu peran guru sebagai fasilitator mampu menciptakan pembelajaran yang dinamis, partisipatif, dan bermakna. Ketersediaan media pembelajaran poster gambar dua dimensi dapat membantu anak berpartisipasi secara kreatif dalam meningkatan kreativitas, penguasaan struktur kosakata cerita, berekspresi, dan mampu mengembangkan emosi ekplorasi anak di dalam belajar. Media ini sangat efektif membantu meningkatkan kemampuan bercerita anak usia 5-6 tahun di TK Aisyiyah Bustanul Athfal, namun harus didukung oleh pemahaman yang baik dan latihan berkelanjutan secara berkala, sehingga kemampuan bercerita dapat berkembang sesuai kemampuan berbahasa masing-masing anak.
Case Note: US Court of Appeals for the D.C. Circuit Holds that Spain Does Not Enjoy Sovereign Immunity from Enforcement of Intra-EU ECT Awards
Authors: Ramos-Mrosovsky Carlos , Levine Paul M. , East James J. , Timko Jillian E.
Published: December 2024

In its forty-one-page decision, a unanimous three-judge panel of the US Court of Appeals for the D. C. Circuit rejected Spain’s intra-EU objection in the context of both ICSID and New York Convention awards. The D.C. Circuit more specifically held that US District Courts have jurisdiction to enforce intra-EU investor-state awards against EU Member States pursuant to the specific exception to the US Foreign Sovereign Immunities Act (FSIA) applying to actions to enforce an award ‘governed by a treaty or other international agreement in force for the United States calling for the recognition and enforcement of arbitral awards’. NextEra Energy Glob. Holdings B.V. v. Kingdom of Spain, Nos. 23–7031, 23–7032, 23–7038, 2024WL 3837484, at *7 (D.C. Cir. 6 August 2024) (‘NextEra’) (citing 28 U.S.C. §1605(a)(6)). At the same time, by a split decision, the Court vacated and remanded the anti-anti-suit injunction in NextEra and 9REN for further consideration by the District Court, given what the Court of Appeals considered the unique context of an anti-anti-suit injunction against a foreign sovereign.
Problems in Distributed Online Services Caused by Application of Centralized Implementation
Authors:   St. Cyril and St. Methodius University of Veliko Tarnovo, Bulgaria, Bonchev Miroslav
Published: December 2024

In the current Internet, centralized applications and services often address semantically decentralized tasks. This introduces a fundamental inconsistency between the natures of the task and the solution that addresses it. The negative consequences of which are many and potentially expensive for the users. They include undue limitation of the quality of the service, functional limitations of the solutions, fragmentation, and others, which can translate to losses from minor disadvantages to significant personal, monetary, and social ones. Examples for such centralized services include social networks, search engines and others. The ELIAS architecture aims to create another look at the Internet architecture at the application level in order to resolve the aforementioned inconsistency.
Influence of Personal Needs and Social Conditions on the Motivation of Employees and Contractors
Authors:   South-West University Neofit Rilski, Kalistarova Tamara
Published: December 2024

Work motivation has a vital role in the development of organizations as it increases the productivity and efficiency of employees. To expand the understanding of individuals’ work motivation, this article examines the influence of individuals’ competence, autonomy, and social connectedness on it. In addition, culture-level moderating factors of these individual-level associations were examined. The findings show that autonomy and social connectedness have a positive influence on work motivation, while competence has a negative influence. Additionally, individual-level associations were moderated by country-level religious affiliation, political participation, humanitarian orientation, and in-group collectivism. In conclusion, contributions are indicated, incl. practical and directions for further research.
ENSINO REMOTO EMERGENCIAL DURANTE A PANDEMIA DE CORONAVÍRUS NA DISCIPLINA GEOTECNIA I DA FURG
Authors: Retzlaff Alana Stern , Camargo Karina Retzlaff
Published: December 2024

A pandemia de Coronavírus levou a disciplina Geotecnia I, correspondente aos conteúdos de Mecânica dos Solos, pela primeira vez na história da Escola de Engenharia da Universidade Federal do Rio Grande – FURG, a ser ministrada inteiramente no formato remoto, em caráter emergencial nos anos letivos de 2020 e 2021. Esse trabalho reúne e interpreta informações sobre as atividades e aproveitamento acadêmico dos alunos neste período e os compara com séries históricas da disciplina. Em síntese foi observado que: (i) não houve aumento no número de trancamentos em relação aos anos anteriores (modelo presencial); (ii) predominância do uso do computador para assistir às videoaulas; (iii) houve picos de visualizações do material online nos dias de atividades avaliativas; (iv) predominância de visualizações de videoaulas em dias úteis; (v) houve poucas visualizações especificamente para o exame final da disciplina; e (vi) houve diminuição gradual das visualizações das videoaulas ao longo dos anos letivos.
FATORES DETERMINANTES NA ESCOLHA DOS DISJUNTORES DE HAAS E HYRAX E OS ASPECTOS PSICOLÓGICOS ENVOLVIDOS: REVISÃO DE LITERATURA
Authors: Lima Daniel Ferraz , Costa Olga Pereira Bizerra da , Souza Vanessa Vitória Oliveira , Nóbrega Anne Marcely Ramos da , Guimarães Anna Beatriz Andrade
Published: December 2024

Introdução: Os disjuntores na ortodontia desempenham um papel vital na busca pela harmonia e funcionalidade do sorriso. São dispositivos hábeis que, com sua capacidade de expandir o arco dentário, não apenas promovem a estética facial, que surge como problemática a pacientes que necessitam do uso de tais aparelhos, mas também proporcionam uma base sólida de pesquisas diferenciando-os. Objetivo: O intuito deste estudo será discutir as particularidades e a aplicação dos disjuntores Haas e Hyrax no tratamento de mordida cruzada em crianças e pré-adolescentes, além de investigar o impacto psicossocial. Resultados esperados: Os resultados dessa pesquisa podem  favorecer para o conhecimento sobre os disjuntores de Hyrax e Haas bem como os aspectos psicosssociais relacionados a pacientes que fazem uso desses aparelhos, oferecendo novas perspectivas, confirmando ou contradizendo hipóteses, por meio de pesquisas e dados coletados.
MENGUBAH KONFLIK MENJADI HARMONI: PENDEKATAN BARU DALAM PENGUATAN KETAHANAN KELUARGA DI INDONESIA
Authors: Supriatna Encup , Nurjaman Kadar , Sulastri Lilis , Pikri Faizal , Irwandi  , Sari Avid Leonardo
Published: December 2024

Konflik dalam keluarga merupakan tantangan utama yang dapat melemahkan ketahanan keluarga di Indonesia. Artikel ini mengeksplorasi pendekatan baru dalam mengelola konflik untuk menciptakan harmoni, dengan fokus pada konteks sosial-budaya Indonesia. Dengan menggunakan metode literature review, penelitian ini menganalisis berbagai teori dan praktik dalam penguatan ketahanan keluarga, termasuk strategi resolusi konflik dan promosi komunikasi efektif. Hasil kajian menunjukkan bahwa pendekatan berbasis nilai-nilai lokal dan keterlibatan komunitas memiliki potensi besar dalam menciptakan harmoni keluarga. Pendekatan ini juga relevan untuk membangun ketahanan emosional dan sosial anggota keluarga. Selain itu, penemuan ini memberikan wawasan baru untuk mengatasi tantangan globalisasi dan perubahan sosial yang berdampak pada dinamika keluarga. Artikel ini menyimpulkan bahwa penguatan ketahanan keluarga harus didasarkan pada kolaborasi antara nilai-nilai tradisional dan inovasi modern. Implikasi praktis dari penelitian ini mencakup pengembangan kebijakan keluarga yang responsif dan pelatihan konseling berbasis budaya. Kajian ini berkontribusi pada literatur yang berkembang di bidang ketahanan keluarga dan menawarkan model intervensi yang relevan untuk diterapkan di Indonesia.
“HELP” : TEKNIK DAN IMPLEMENTASI DALAM PROGRAM APLIKASI DAN MULTIMEDIA
Authors: Joko Prasetyo Hendro , Muryanto
Published: December 2024

Tujuan penelitian ini adalah untuk menunjukkan dan membuktikan bahwa membuat system online help itu adalah tidak sulit dengan membuat program aplikasi kita dapat merancang dan membuat sendiri system HTML help dan mengintegrasikannya ke program aplikasi yang kita buat. Karena saat kita membuat program aplikasi, biasanya akan disertai dengan program aplikasi fasilitas help, sehingga pengguna aplikasi akan bisa menggunakan aplikasi yang kita buat sesuai dengan harapan. Disisi lain fungsi dari system help ini adalah sebagai sarana belajar untuk menjadikan fasilitas help ini menjadi media interaktif yang diharapkan akan dapat membantu pada saat user menggunakan program aplikasi yang kita buat khususnya jika ada kesalahan pada saat menggunakannya.
Metodologi yang digunakan dalam pembuatan fasilitas help ini adalah dengan menggunakan metoda observasi dan membaca berbagai literature baik buku maupun dengan membaca media yang berkaitan dengan pembuatan media help di internet . pembuatan system help, akan membutuhkan pengetahuan dasar membuat file HTML ( Hypertext Markup Language). Karena format ini adalah fondasi utama dalam pembuatan system HTML Help, juga dengan sedikit kreatifitas dalam urusan tata letak dan diseain, sehingga tampilan akan tidak membosankan yang akan membuat penggunaka betah dalam membacanya.
Hasil penelitian ini menunjukkan bahwa membuat system on line help sangatlah mudah. Tidak diperlukan syarat harus mengerti bahasa pemprograman dan dengan menggunakan help sebagai media interaktif ternyata dapat membuat pengguna lebih mudah memahami siswa dalam memahami apa yang menjadi tujuan belajarnya. Karena system help berformat multimedia, dimana gambar, suara dan animasi bisa dipadukan menjadi satu kesatuan.
 
Kata Kunci : Fasilitas Help, HTML,Multimedia Animasi
DESIGN AND CONSTRUCTION OF MOBILE-BASED ONLINE MOTORCYCLE SERVICES
Authors: Suci Lestari Nasution Winda , Nusa Patriot
Published: December 2024

Motorbike service is an activity of mechanics to repair vehicles that have problems in certain parts. Distance is a problem that makes people who want to repair a motorbike have to walk long distances to get to the motorbike service place. The aim of this online motorbike service is to help or make things easier for people. People who have problems with motorbikes that have quite a distance from home to the motorbike service place with a smartphone so that it is easy to make orders and payments can also use the payment method provided. The analysis and design method used in this research is Object Oriented Analysis and Design (OOAD) with the help of tools, namely Unified Modeling Language (UML). The results of this analysis and design will be implemented into a mobile-based application with features for ordering, paying, transaction history, determining location points, sending or receiving messages based on the results test well so that the feature runs properly.
Decentralised clinical trials: A new approach with opportunities and challenges
Authors: Iannaccone Reto , Ferbitz-Scheurer Simone
Published: December 2024

Clinical trials are dependent upon the availability of participants who are willing and able to take part in them. At times, however, participating in a clinical trial requires a significant amount of time and travel. The aim of decentralised clinical trials (DCTs) is to move some of the trial-related visits and/or assessments from the trial site to a participant’s home in order to reduce practical barriers to trial participation and to more smoothly integrate study visits into participants’ daily routines. While DCTs open up new opportunities for trial participants and researchers, they also pose challenges in terms of ensuring both patient safety and adequate oversight as well as protecting participants’ data privacy. Swissmedic recommends that researchers take an active approach by engaging in the current dialogue on DCTs and liaising closely with the authorities as they plan and conduct DCTs in order to ensure they fulfil applicable legal requirements.
Effects of Nitrogen Fertilizer Rate with Urease and Nitrification Inhibitors on Certain Morphological Traits and Quality of Sugarcane (Saccharum officinarum L.)
Authors: Welutung Phatchariya , Pengthamkeerati Patthra , Kachenchart Boonlue , Tawornpruek Saowanuch
Published: December 2024

In this study, we investigated the effects of the N fertilizer rates (commonly applied by farmers compared to rate based on soil analysis) with an appropriate N fertilizer rate associated with urease inhibitors (UIs), nitrification inhibitors (NIs) and their combinations (UINIs) on sugarcane (Saccharum officinarum L.) growth, morphological traits, and quality. The treatments consisted of 2 UIs (N-(n-butyl) thiophosphoric triamide (NBPT) and garlic (Allium sativum L.)) and 3 NIs (dimethylpyrazole phosphate (DMPP), ground neem seed (Azadirachta indica A. Juss. var. siamensis Valeton) and praxelis (Praxelis clematidea (Griseb.) R.M. King & H. Rob)). The results showed that increasing the N fertilizer rate encouraged sugarcane growth by up to 4.5% and increased N content by 16.2% in the cane yield. Adding inhibitors produced positive responses in plant growth and yield, possibly due to prolonging N fertilizer in the soil and extending the supply of N to the plant. Compared to biological inhibitors, the synthetic inhibitors resulted in longer stalk lengths but lower stalk diameters. The inhibitor treatments significantly enhanced the aboveground biomass and N content in plants by up to 41.5 and 41.9%, respectively, compared to only fertilizer. The inhibitor treatments in commercial cane sugar (CCS) increased by up to 13.6%. However, decreasing the N fertilizer rate with addition of inhibitors assisted in keeping mineral N in the soil, which further enhanced N uptake and led to improved plant growth and yield. Added DMPP showed the potential to slow down N loss from soil, which enhanced rapid growth and resulted in higher aboveground biomass.
Genomic Insights into Rheumatoid Arthritis through computational Profiling for Hub Genes
Authors: Sushma Thandal Anantharaman  , Alex Anand Daniel , Athista Manoharan  , Swetha Sunkar
Published: December 2024

Rheumatoid arthritis (RA) is a complex autoimmune disorder predominantly affecting joints, with its etiology and response to treatment still not fully understood despite extensive historical documentation. This study aims to shed light on the differentially expressed genes (DEGs) associated with RA progression, potentially identifying new drug targets and management strategies. This study analyzed gene expression data (GSE193193) from the Gene Expression Omnibus (GEO) database, identifying 3672 significant DEGs out of 36107 initially retrieved genes. Among these, 283 genes were up-regulated and 360 were down-regulated. Gene enrichment analysis was performed to uncover relevant gene ontology terms and pathways. Subsequently, network construction and analysis, along with hub gene prediction using Cytoscape's MCODE and CytoHubba plugins, were conducted. Key genes identified in this study include HBB, ALAS2, GATA1, AHSP, HBG1, HBG2, HBD, KLF1, SLC4A1, EPB42, ZMYND10, DNAJC7, HYDIN, LRRC6, FN1, NCAM1, FASLG, CTCF, SMAD4, and STAT1. These genes are implicated not only in RA but also in other diseases, presenting them as potential therapeutic targets. Additionally, three transcription factors (GATA1, NFKB1, and RELA) and one miRNA (has-mir-27a-3p) were identified as key regulators of these hub genes.  In conclusion, this study not only enhances our understanding of the molecular mechanisms underlying RA but also identifies several critical DEGs and regulatory factors that could serve as promising targets for therapeutic intervention. The identification of these genes and regulatory elements paves the way for the development of targeted treatments, which could significantly improve disease management and patient outcomes. Future research focusing on these identified targets may lead to innovative strategies for combating RA and potentially other autoimmune disorders, thereby offering new hope to patients affected by these conditions.
Diyarbakır İli Dicle İlçesinin Nar Alanlarında Bulunan Zararlılar ve Doğal Düşmanların Belirlenmesi
Authors: Balıkçı Mehmet , Bayhan Erol
Published: December 2024

Ülkemizde son yıllarda ekonomik açıdan önem kazanan bir bitki olan narın önemli entomolojik sorunları bulunmaktadır. Narda bulunan zararlıların tespitine yönelik faunistik çalışmalar mücadele açısından önemli veriler içermektedir. Bu çalışma Diyarbakır ili Dicle ilçesinin nar bahçelerinde bulunan zararlılar ve faydalı türleri tespit etmek amacıyla yapılmıştır. Çalışma kapsamında Dicle ilçesine bağlı nar bahçelerinde 2021 ve 2022 yılları arasında narın çiçeklenme ve hasat dönemleri dikkate alınarak Nisan-Ekim ayları arasında, düzenli ve düzensiz aralıklarla sörveyler gerçekleştirilmiştir. Çalışmada dal sayım, gözle kontrol, kültüre alma ve darbe yöntemleri kullanılmış; ağacın sürgün, çiçek, dal, meyve ve gövdesi gözle kontrol edilirken Japon şemsiyesi, emgi tüpü, atrap ve D-vac (vakumlu toplama aleti) yardımıyla örnekler toplanmıştır. Nar yetiştiriciliği yapılan alanlarda yürütülen çalışmalar sonucunda Araneae, Dermaptera, Hemiptera, Neuroptera Coleoptera, Lepidoptera ve Diptera takımlarına bağlı 21 familyaya ait faydalı ve zararlı türleri içeren toplam 36 tür bulunmuştur. Zararlılardan en yaygın görülen türler; Drosophila melanogaster Meigen, 1830 (Diptera: Drosophilidae), Ectomyelois ceratoniae (Zeller, 1839) (Lepidoptera: Pyralidae), Carpohilus nepos Murray, 1864 (Coleoptera: Nitidulidae) ve Aphis punicae Passerini, 1863 (Hemiptera: Aphididae) olurken, faydalı türlerden ise; Scymnus araticus lablokoff-Khrzorian, 1969; Adalia bipunctata (L.,1758) (Coleoptera: Coccinellidae), Deraeocoris serenus (Douglas & Scott, 1868) (Hemiptera: Miridae) ve Chrysoperla carnea (Stephens, 1836) (Neuroptera: Chrysopidae) yaygın olarak tespit edilmiştir. Ayrıca sörveylerde, narın önemli zararlılarından olan Ceratitis capitata (Wiedemann, 1824) (Diptera: Tephritidae) (Akdeniz meyvesineği) tespit edilmiş olmasına rağmen yoğunluğunun düşük olduğu görülmüştür.
Enhancing Dimensional Stability and Environmental Durability in Delrin-Molded Parts Through Advanced Annealing Techniques
Authors: Dabhi Dhrudipsinh
Published: December 2024

This paper presents the implementation and optimization of an advanced annealing process designed to enhance the
dimensional stability, moisture resistance, and crystallinity of Delrin-molded parts for demanding outdoor
applications. Delrin, a widely used acetal resin, poses unique challenges in plastic injection molding due to its natural
tendency to shrink post-molding and absorb moisture, which can compromise part performance in variable
environmental conditions. By introducing a high-capacity annealing oven with precise temperature and humidity
control, we achieved substantial improvements in part stability and durability. This process was developed through
close collaboration with customer engineering teams and our in-house experts, ensuring the final product meets strict
tolerance and environmental durability requirements. Results indicate that the annealing process effectively reduces
dimensional variation, decreases moisture content by 75%, and increases crystallinity by 20%, making the parts
robust enough to withstand extremes of heat, cold, and humidity. This study underscores the value of high-tech
annealing solutions in the plastic injection molding industry, offering a blueprint for similar applications in advanced
manufacturing.

Keywords: Delrin Annealing, Crystallinity Enhancement, Dimensional Stability, Moisture Resistance,
Environmental Durability, Plastic Injection Molding, Advanced Manufacturing Techniques, High-Capacity
Annealing Oven, Quality Engineering, Process Optimization
INTEGRATING AI IN IDENTITY AND ACCESS MANAGEMENT FOR IMPROVED CYBERSECURITY POSTURE
Authors: Premsai Ranga
Published: December 2024

Abstract—The rise of cybercrime has made fraud
detection a critical focus for financial services, where
even minor improvements in detection rates can

translate into significant savings. Traditional rule-
based detection systems are increasingly unable to

keep up with the complexity and evolving nature of
fraudulent schemes. This work explores the role of
artificial intelligence (AI), particularly deep learning,
in enhancing fraud detection capabilities. Here we
propose a novel AI-driven fraud detection system
that incorporates Single Sign-On (SSO) identity and
access management (IAM) frameworks, leveraging a
dual-layered approach with batch and real-time
processing.
The batch layer establishes a user trust identity by
analysing historical behavioural patterns, which
informs an access-granting mechanism that evaluates
real-time transaction data for fraud indicators. A
deep iterative convoluted memory classifier then
assesses transactions, for detecting frauds. This
architecture automates fraud detection, allowing
analysts to focus on high-priority cases and ensuring
that only authenticated users can access sensitive
information. Our experiments are Conducted in the
MATLAB environment, From the analysis it was
revealed that the model's effectiveness, showing
promise for scalable, efficient fraud prevention in
financial services. This work underscores the
transformative potential of AI in securing financial
transactions against sophisticated cyber threats.

Index Terms— cybercrime, Fraud, Financial
Transactions, artificial intelligence, identity and
access management, fraud detection,
Big Data and AI in Cloud Computing: The Ideal Partnership for Scalable Solutions
Authors: Kumar Manoj
Published: December 2024

Artificial Intelligence (AI), Big Data,
and Cloud Computing are coming together to
drive huge changes in how businesses build
scalable, flexible, and cost-efficient solutions. The
paper identifies how these technologies work in
unison to unlock real-time analysis of data and
predictive insight, hence enabling better-informed
decisions and operational effectiveness. Big Data
analytics can process large data sets much faster
with the help of vast computational power and
storage facilities of cloud platforms, and AI
algorithms extract intelligence from them. The
combined framework empowers organizations to
create better resource utilization, enhance
customer experiences, and gain competitive
advantages in dynamically changing markets.
This research paper has also highlighted actual
applications across various industries: how this
transformational trio engenders innovation,
scalability, and resilience.

Keywords: Artificial Intelligence, Big Data, Cloud
Computing, scalable solutions, Predictive Insights,
real-time data analysis, Business Optimization,
decision-making, Affordable Technologies,
Operational Efficiency.
Optimizing Selenium Grid for Parallel Testing A Comprehensive Guide
Authors: Chandrika Asha Rani Rajendran Nair
Published: December 2024

Effective parallel testing has become essential for modern software development, enabling faster feedback loops
and reducing overall testing time. Selenium Grid, a tool widely used for distributed test execution, plays a crucial
role in supporting parallel testing across multiple browsers, devices, and environments. However, optimizing
Selenium Grid for efficient parallel testing requires a thoughtful approach to setup, configuration, and resource
management. This comprehensive guide explores best practices for configuring Selenium Grid to maximize
concurrency, minimize bottlenecks, and ensure consistent performance. Key topics include setting up and scaling
nodes, managing browser instances, enhancing test stability, and implementing strategies for robust fault tolerance.
This guide also dives into performance monitoring and resource allocation techniques, highlighting ways to
identify and resolve system inefficiencies that could hinder test execution. By following these optimization
techniques, QA teams can achieve faster, more reliable test execution, reduce maintenance overhead, and improve
the overall quality and speed of their release cycles.
Holistic Digital Fraud Detection: Advanced Strategies to Secure Accounts Beyond the Login
Authors: Matta Prabhavathi
Published: December 2024

The digital age has revolutionized how we interact, transact, and communicate, but it has also introduced new
vulnerabilities. Digital fraud, particularly account takeover (ATO) fraud, is a growing concern as cybercriminals
continuously develop sophisticated methods to exploit security gaps. Traditional fraud detection mechanisms,
focusing primarily on login processes, are inadequate in addressing the complexity and dynamism of modern cyber
threats. This white paper presents a holistic approach to digital fraud detection, emphasizing a more comprehensive
and advanced strategy for detecting and preventing account takeover fraud beyond the login phase to ensure
comprehensive account security.

Keywords: CyberSecurity, Account Takeover, Digital Fraud Detection, Machine Learning, Technology
Modernization, Digital Transformation, IT Modernization, Information Security, Multi-Factor Authentication
(MFA), Threat Intelligence, Data Protection, Encryption, Continuous Monitoring, Identity Verification
Enhancing Class Functionality with Kotlin Extensions
Authors: Jagnik Nilesh
Published: December 2024

Abstract—Kotlin has many features that make
code simpler to develop and read. One such feature
is the support for extension functions. Extension
functions allow extending the capability of a class or
interface, without the need for coding pattern like
the decorator pattern and utilities, which add a lot
of complexity to code. In this paper we study the
decorator pattern which is the primary tool used for
class extension. We discuss the disadvantages of
using the decorator pattern and how extensions can
be used to overcome them. We review how
extensions work and how they can used. Finally, we
present some benefits and drawbacks of extension
functions.
Keywords—decorator pattern, class extension,
code readability, code reuse
SİDE LİMAN GÜMRÜK YAPISI KİLİKYA TİP 1 AMPHORASI TİPOKRONOLOJİK DEĞİŞİMİ
Authors: Uysal Tezer Canan
Published: December 2024

Pamphylia körfezi kıyısında yer alan Side; Kıbrıs, Kilikya Bölgesi, Kuzey Suriye ve Kuzey Afrika Bölgeleri’ni de içine alan Doğu Akdeniz coğrafyasının önemli liman kentlerinden biridir. Konumu itibariyle, her dönemde bir ticaret kenti olarak ön plana çıkmıştır. Side antik kentinde, Kentsel ve III. Derece Arkeolojik Sit Alanı’nda 780 ada 6, 7, 8, 9, 11 parsel ile 800 ada 1, 2, 4 ve 6 parselde yürütülen kazı çalışmaları ile “Liman Gümrük Yapısı” olduğu düşünülen anıtsal bir yapı ortaya çıkarılmıştır. Yapı, Liman Agorası’nın hemen batısında, Liman Hamamı’nın ise kuzeybatısında bulunmaktadır ve 3.728 m²lik alana yayılmaktadır. Her iki ucu da denize açılan yapı, kuzeydoğu-güneybatı aksında uzanmaktadır. Plan bakımından fonksiyonu hakkında bilgi sunmamaktadır ancak yapının gerek konumu gerekse epigrafik kanıtlar buranın bir Liman Gümrük Yapısı olduğuna işaret etmektedir. Kazılar sırasında açığa çıkarılan nümizmatik ve arkeolojik buluntular (cam, metal buluntuların yanı sıra, çok sayıda kaliteli ve kaba seramikler), yapının MS 2. yüzyılın ortasında inşa edildiğini ve 7. yüzyılın III. çeyreğine kadar kesintisiz olarak kullanıldığını göstermiştir. Bu makale ile Liman Gümrük Yapısı kazılarından bulunan ve sayı bakımından en fazla olan Kilikya Tip 1 amphora formunun üretim alanları ile ilgili farklı görüşler ele alınarak, formun tipo-kronolojik değişimi değerlendirilecek ve hamur özellikleri üzerinde durulacaktır.
Assessing the level of patient rights awareness among expectant women attending antenatal care clinics in primary health facility in Kirinyaga County, Kenya
Authors: Egla Chepkorir , Nyaberi Jackline M , Mutai Joseph
Published: December 2024

Expectant women are recipients of poor quality of care including fear of abuse and disrespect which is a clear violation of their rights. These experiences influence women’s decisions to seek antenatal care. Even though Kenya’s Patients’ rights charter of 2013 empowers them to demand quality care, there is limited information concerning their knowledge on patients rights and responsibilities and this study intends to explore this gap. This was a cross-sectional study where expectant women were drawn from two primary healthcare facilities, attending their monthly routine antenatal care clinics. Data was gathered using a questionnaire during a 2-month period from January to March 2024. Descriptive statistical methods, paired t-test, and repeated measure analysis of variance at significant level P<0.05 were used. Participants’ mean age was 28.14 + 6.43 years. Most patients (78.6%) did not know about the patients’ rights charter and the majority of them (97%) had never received any form of education concerning patient rights. Of those who had knowledge of patient rights, 69.4% of them mentioned healthcare providers to be the source of information. The most practiced patient rights are quality of care (83%) and dignity and respect (97%). The patient’s level of awareness of patients’ rights and responsibilities is low and there is need to enhance this awareness through proper implementation of patient rights through dissemination of relevant content, continuous medical education programs and proper sensitization of healthcare providers on the right content to disseminate as this can lead to improved quality of antenatal care services.
The Expression Form of Consumerism Identity of College Students and the Direction of Liberal Arts Education
Authors:   Hyupsung Institute for Liberal Arts Studies, Kim Sungil
Published: December 2024

The purpose of this study is to critically examine the expression of consumerism identity of college students and to seek the direction of liberal arts education in response. Consumerism identity is self-consciousness that is formed through consumption and placing oneself in the position of consumers and evaluating all issues with consumption logic. This study analyzes the meaning and problem of consumerism identity by dividing it into qualification suitability, justice of equivalent exchange, victimhood. As a result of the study, the persistent inquiry into qualification suitability downgrades legitimate exercise of rights to a qualification issue and tolerates a distorted structure hidden in the qualification acquisition process. The justice of equivalence exchange reinforces academicism with meritocracy. As the justice of equivalence exchange collapses, the distinction between the perpetrator and the victim is distorted. From this, liberal arts education should create a strong self that will give pride to one's values. Furthermore, it is necessary to leads to equal relations with others and open communication, and establishes the values, behavioral principles, and systems of 'the social' for alternative society.
A study on the ‘Gyeongseong Literary Space Archive model’ as a creative commons - Focusing on Novel Literature during the Japanese Colonial Period
Authors:   Hyupsung Institute for Liberal Arts Studies, Cho Jungmi , Kong Byounghun
Published: December 2024

This study aims to develop a ‘Gyeongseong Literary Space Archive Model’ that serves as a ‘creative commons’ where researchers, creators, experts, and the general public can utilize, supplement, and collaborate by constructing ‘literary space episodes’ and ‘related materials’ collected from novels set in Gyeongseong during the Japanese colonial period as archives and literary maps. For this work, MediaWiki and Google Map: My Map were selected as digital tools, and a prototype of the ‘Gyeongseong Literary Space Archive’ was developed based on 10 short stories. The results of in-depth interviews with experts on this prototype were synthesized to derive and analyze a design that develops the archive into a creative commons. The Gyeongseong Literary Space Archive can serve as a creative commons where literary users such as creators, researchers, experts, and literature readers actively, collectively, and collaboratively construct meaning through interactions with texts and related materials in a literary space.