bluuebunny/crossref_metadata_2025 huggingface dataset:
Unpacking Identity Dynamics of the Main Character in the Novel Kimchi Confessions: Implications for Multicultural Education
Authors: Afifa Ulin Nukha  , Fitri Amilia  , Dzarna  , Yerry Mijianti
Published: January 2025

The identity dynamics of a main character in a novel refer to how their sense of self, values, beliefs, and overall identity evolve throughout the narrative. These dynamics are shaped by psychological, emotional, and social factors, which influence how the character perceives themselves and is perceived by others. This process often occurs in response to the conflicts, experiences, or challenges the character faces. In literature, such transformations serve as powerful tools for examining broader societal themes, such as belonging, cultural assimilation, and personal growth. This research aims to analyze the identity dynamics of the main character in Kimchi Confessions by Xaviera Putri, exploring its implications for multicultural education in Indonesia. Employing a qualitative research method, this study uses a descriptive analysis approach to gain a deep understanding of the main character's identity development. The data source for this study is Kimchi Confessions, a novel inspired by Xaviera Putri’s personal experiences living in South Korea during her high school years. Published in 2023 by Gagas Media, the novel spans 200 pages. Data analysis is conducted using a discourse analysis approach to identify how the main character’s identity is represented throughout the narrative. The findings reveal that Xaviera’s experiences emphasize the importance of multicultural education in promoting cross-cultural understanding and inclusivity in Indonesia. This study highlights how literature can serve as a tool for fostering empathy and cultural awareness, suggesting that further research into identity dynamics in contemporary literature can enhance educational practices and societal integration.
Antibiotic Use for Acute Respiratory Infections in Children Under Five: A Study of Practices and Implications in Bangladesh
Authors: Dipu Dr. Mahmuda Rahman , Das Dr. Juwel , Halder Dr. Palash , Paul Dr. Bijoy
Published: January 2025

Background: Acute respiratory infections (ARIs) are a primary cause of morbidity and mortality in children under five, particularly in low- and middle-income countries such as Bangladesh. Despite the viral nature of most ARIs, antibiotics are often prescribed, contributing to antibiotic resistance—a critical public health issue. Understanding the patterns and drivers of antibiotic use for ARIs in children is essential for developing strategies to combat misuse and resistance. Objective: This study aims to examine the prevalence and determinants of antibiotic use for ARIs among children under five in Bangladesh, assessing both healthcare provider and parental influences on prescribing practices. Methods: Using data from the 2014 Bangladesh Demographic and Health Survey (BDHS), we analyzed the antibiotic treatment patterns for ARIs in children under five. The survey utilized a two-stage cluster sampling method and included interviews with mothers to capture demographic, socioeconomic, and healthcare access information, as well as ARI symptoms and antibiotic use details. Statistical analyses were conducted to identify factors associated with antibiotic prescription. Results: Of 2,146 children under five with ARI symptoms, 38.7% received antibiotics. Antibiotic use was more prevalent in rural areas (41%) compared to urban settings (31.3%) and among children treated by unqualified practitioners (47.1%) rather than healthcare professionals (37.5%). Antibiotic prescriptions were influenced by parental education levels, geographic divisions, and healthcare access. Sources listed as "Others," which include alternative suppliers, showed the highest prevalence of antibiotic usage (76%). Factors like child malnutrition did not significantly impact antibiotic use, though severe wasting was associated with lower antibiotic prescriptions. Conclusion: This study highlights a high rate of antibiotic use for ARIs in children under five in Bangladesh, largely driven by ...
Threats Analysis and Control Strategies in Immunization Programs for Rural Communities in Nigeria
Authors: E Bassey Immaculata , E Bassey Emmanuel , Ibezim Harmony , I Elusoji Christiana , E Okutepa Toyin , E Aragua David , Emina Anwuli , V Nwafor Amuchechukwu , P Osuagwu Chidubem , V Ifemenam Emeka , Malachy Onyema
Published: January 2025

Vaccination is crucial for disease prevention, particularly in rural Nigeria, where access to healthcare is limited. This study examines the challenges to immunization programs, the impact of government policies and local health systems, and the effectiveness of control measures. Key challenges include logistical issues, such as inadequate health facilities, storage for vaccines, and equipment, as well as socio-cultural barriers like lack of knowledge, traditional beliefs, myths, and rumors. Government policies and health systems play a significant role in immunization efforts but are often hindered by resource shortages and inconsistent implementation. Effective strategies, such as mobile vaccination units, community health education, and integrating immunization with other health services, have shown promise in improving vaccination coverage. However, concerns about the sustainability of these interventions highlight the need for systemic strengthening, including community involvement and a reliable vaccine supply chain. This study emphasizes the importance of coordinated efforts by government, healthcare providers, and community leaders to address both structural and cultural barriers. Achieving 100% immunization coverage in rural areas requires inter-sectoral strategies that address social determinants of health. By tackling these underlying factors, sustainable improvements in immunization programs can be ensured, ultimately reducing the burden of vaccine-preventable diseases in hard-to-reach rural areas.
Assessment of the Characteristics of Hyperthermia in Human Health and Its Therapy
Authors: Santana Marco Vinícios de Oliveira , Marchiori Carlos Henrique , Malheiros Klebert de Paula , Melo Érico Meirelles de
Published: January 2025

Hyperthermia is an increase in the body's core temperature caused by its inability to dissipate heat or reduce its production. The problem is serious and leads to the death of several people every year. One of its causes is exposure to excessive heat. On very hot days, for example, we must be careful to avoid the occurrence of the problem, drinking plenty of water and avoiding outdoor physical activities. This manuscript aims to evaluate the characteristics of hyperthermia in human health and its therapy. Data were collected using a quantitative and descriptive approach, through books and the following databases: SciVerse Scopus, Scientific Electronic Library Online (SciELO), and the Academic Search Tool (Scholar Google) Academia.edu., Researchgate, Library of Medicine and National Institute of Health – USA (PubMed) and Scientific, Latin American Literature in Health Sciences (LILACS). The search was developed using the subject descriptor, mosquito, diseases, filaria, hosts, transmission, diagnosis, and treatment referred to in journals, through a review of the literature on the subject. In the initial search, the titles and abstracts of the articles were considered for a broad selection of likely works of interest, with the abstracts being highlighted. The time frame was between 1999 and 2024, as we preferred to search for recent publications, and those that did not meet the established criteria were excluded. The search was conducted using the subject descriptors: “Cardiac system”, “Nervous system”, “Energy”, “Hydration, metabolism”, “Risk factors”, “Temperature,” “Thermoregulatory mechanism, “El Niño” and “Climate change”.
Does angiogenesis change in response to endocrine disrupting substances like bisphenols? - A review
Authors: Bažány Denis , Greifová Hana , Jambor Tomáš , Tokárová Katarína , Zuščíková Lucia , Lukáč Norbert
Published: January 2025

The angiogenesis represents the formation of new blood vessels. Tissue angiogenesis requires the balance of several stimuli and inhibitors. From the point of view of several mechanisms involved in the formation of new blood vessels, this process is highly sensitive to the influence of chemicals affecting the immune and vascular systems. The main signaling mechanism that regulates the migration and proliferation of endothelial cells, which form the basis of any artery, is vascular endothelium growth factors (VEGF) and their receptors. The VEGF-dependent signaling pathway is necessary for the development of the embryonic vascular system. Since the scientific community has recently examined the impact of common endocrine disruptors, such as bisphenols, a theory on the potential influence of angiogenesis is put up regarding the exact mechanism of action of these compounds. A great advantage in investigating the influence of bisphenols on the vascular system and vascular formation is the use of model cell systems of the vessels endothelial lining.
Transtornos psiquiátricos associados a disfunções hormonais: estratégias e manejo
Authors: Rodrigues de Carvalho Daniella , Rosa Ana Paula da Silva , Reis Geovana Nabak dos , Batista Adriana Miranda , Agostinho Gustavo , Faria Theo Carneiro de Almeida , Silva Pedro Otávio Barbosa Oliveira e , Meskó Marcély Morales , Inoue Sophye Bianco de Soto , Silva Ana Carolina da , Silva Ana Beatriz Santos da , Jesus Maria Laura Moisés de
Published: January 2025

Este artigo tem como objetivo realizar uma revisão da literatura científica sobre os avanços no tratamento de transtornos psiquiátricos associados a disfunções hormonais, com ênfase nas estratégias de manejo e intervenções terapêuticas. Para isso, foram utilizados como motores de busca os indexadores PubMed, Scopus e Web of Science, com a utilização dos unitermos "Transtornos psiquiátricos, Disfunções hormonais, Manejo, Estratégias terapêuticas". A revisão revelou que, nos últimos anos, houve avanços significativos no entendimento da interação entre os hormônios e os transtornos psiquiátricos, o que resultou em abordagens mais eficazes no tratamento. Dentre essas abordagens, destacam-se a utilização de terapias de reposição hormonal, como a administração de estrogênio, testosterona e hormônios tireoidianos, além do uso de moduladores hormonais que visam restaurar o equilíbrio endócrino e melhorar os sintomas psiquiátricos.
Kitap Tanıtımı / Book Review: Türkiye de Spiritüel Arayışlar: Deizm, Yoga, Budizm, Meditasyon, Reiki vb.
Authors: Günaydın Ravda Sevdegül
Published: January 2025

Türkiye'de son yıllarda gözlenen spiritüel arayışların karmaşık yapısını anlamak amacıyla yürütülen bu araştırma Tübitak 1001 programı tarafından desteklenmiştir. 2018-2020 yıllarında gerçekleşen bu araştırmadan yoğun bir üretim gerçekleştirilmiştir. Dr. Öğretim Üyesi Kurtuluş Cengiz, Doç. Dr. Önder Küçükkural ve Hande Gür tarafından yürütülen bu araştırmada, çeşitli çalışmalar yapılmıştır (Gür, 2020; Mashael, t.y.). "Türkiye'de Spiritüel Arayışlar" adlı bu çalışma ile nitel-nicel metotları kullanılarak hazırlanmıştır. Bu çalışmada; 6 ilden 84 katılımcı ile mülakat, 528 kişi ile anket çalışması gerçekleştirilmiştir (s. 29-30). Bu katılımcıların deneyimlerini, motivasyonlarını, maneviyat üzerine kişisel düşüncelerini, arayışlarının bireysel, fiziksel olmayan pratiklerinde okumaları mesela mesnevi, Osho gibi pratik olarak gördükleri veriler aktarılmıştır. Bu yöntemle birlikte araştırmayı geniş bir nüfusa yayarak bulguların genellenebilirliğini artırmak amaçlanmıştır. Sufi, sema törenleri ve yoga inzivaları gibi ruhani toplantılar çerçevesinde sağlam veri toplama yöntemleri ile gerçek bulgulara ulaşılması güçlendirilmiş, konuya geniş perspektif sunulmuştur. Bu sayede doğrudan gözlem ile elde ettikleri veriler çerçevesinde araştırmaya sağlam bir temel oluşturmuşlardır.
SIMSS-7 UNLEASHED: TRANSFORMING ACADEMIC PERFORMANCE IN SOCIAL SCIENCE
Authors: Shire May Baiquin Ramos
Published: January 2025

This research utilized a quasi-experimental research design to determine the effectiveness of Strategic Intervention Material in Social Science 7 on students' academic performance. This research used two groups to conduct the study. The control group represented the group with no intervention, while the experimental group utilized the intervention, which is the SIM in Social Science 7. Both groups were taught the same lesson in the third quarter; however, the experimental group utilized the SIM. Before the start of the quarter, the students were given a pretest. After a quarter, the students were given a posttest. This study's results indicated a significant difference in the pretest and posttest of the control and experimental groups. The noteworthy result of this study is that although there was a substantial improvement in the student scores in the control group, there was a significant increase in the students' scores for the experimental group. There was a noteworthy considerable difference in the posttest, indicating a significant difference in the posttest scores of the experimental group with strategic intervention materials rather than the control group without such materials. The study recommends that teachers utilize and create Strategic Intervention Material in teaching whenever they deem it necessary as another tool for instruction or as an intervention to improve students' academic achievement, and such innovation may be supported by the lower to the upper echelon of the Department of Education.
KEYWORDS: SIMMS-7, Strategic Intervention Materials, Social Science 7, Quasi-experimental
PAGPILI NG KARERA NG MGA MAG-AARAL: ISANG KUWALITATIBONG PAG-AARAL
Authors: Jessel A. Aniñon
Published: January 2025

Ang layunin ng multiple case na pag-aaral na ito ay upang galugarin ang mga karanasan, tuklasin ang mga mekanismo sa pagharap sa mga hamon at malaman ang mga pananaw sa mga naging karanasan ukol sa paglalakbay sa akademikong na pag- unlad ng mga mag-aaral ng medyor sa Filipino. Gamit ang purposive sampling at pamantayan sa pagpipili ng mga kalahok, natukoy ang tatlong kalahok na mag-aaral sa medyor sa Filipino na kasalukuyang nag-aaral tungo sa kanilang akademikong pag-unlad mula sa Kapalong College of Agriculture, Sciences and Technology, ang lahat ng kalahok ay sumailalim sa masinsinang panayam. Ang mga resulta ay nagsiwalat sa mga katangian ng mga partisipante: pagkakaroon ng paninindigan sa desisyong ginagawa; pagiging matapang sa pagharap sa hamon at pagiging matiyaga. Samantala ang mga karanasan na nagtulak sa kanila na piliin ang kursong edukasyon medyor sa Filipino ay ang sumusunod: papel ng panlipunang karanasan sa pagpili ng kurso, karanasan sa loob ng klasrum, impluwensya at motibasyon ng guro sa pagtuturo. Samantala, bilang tugon sa mga hamon na kanilang naranasan, itinuturing nilang mahalaga ang mga sumusunod na mekanismo sa pagharap ng mga hamon: pangunahing tema ang umusbong: katatagan at pagpapatuloy sa kabila ng hamon, estratehikong pamamahala ng oras, mga pinagkukunan ng suporta sa kabila ng hamon. Gayundin, ang kanilang payo sa pagkakaroon ng matatag na pundasyon ng mga mag-aaral sa pagpili ng karera: payo sa mag-aaral na gagawa ng desisyon sa pagpili ng kurso, payo sa kagawaran ng edukasyon, payo sa mga guro. PP
MGA SUSING SALITA: pagpili ng karera ng mga mag-aaral, multiple case approach, kuwalitatibong pag-aaral
STUDENT ENGAGEMENT IN LEARNING ALGEBRA: A MIXED METHOD STUDY
Authors: Thrxy Nicolle P. Calicdan  , Linagyn Gementiza-Cubio
Published: January 2025

The purpose of the study is to determine the status of students’ engagement in learning Algebra among Grade 10 students in a private school. The study employs a mixed-method approach, combining quantitative data collection and qualitative in-depth interviews. A sample of 110 Grade 10 students from private schools in Santo Tomas, Davao del Norte was selected using stratified random sampling. Quantitative findings revealed that the students’ high behavioral engagement was demonstrated by their active participation in class activities, timely submission of tasks, and attentiveness during lessons. Cognitive engagement was reflected in their ability to employ critical thinking and problem-solving skills when solving Algebraic problems, while affective engagement, although high, scored lower due to challenges in sustaining intrinsic motivation and interest in the subject. Qualitative findings supported the quantitative results, showing that students demonstrate consistent engagement across behavioral, cognitive, and affective dimensions. Results showed that the overall level of engagement in learning Algebra was high, with behavioral engagement scoring the highest mean, followed by cognitive engagement, and affective engagement with the lowest mean, all categorized as high. Statistical analysis revealed no significant differences in engagement levels when grouped by age or sex. Results imply that fostering student engagement, particularly through behavioral and cognitive strategies, is essential for enhancing learning experiences in Algebra.
KEYWORDS: Algebra, learning, student engagement, Philippines
Uso de quimioterapia tópica para neoplasia escamosa de superficie ocular.
Authors: Rios Martínez Gadiel , Caballero Armando , Ochoa Rodas Andrea Karen , Gonzales Urzagaste Adrian Danthe
Published: January 2025

La neoplasia escamosa de la superficie ocular (NESO) incluye lesiones desde displasia leve hasta carcinoma invasivo, afectando conjuntiva y córnea. Aunque la escisión quirúrgica es el tratamiento tradicional, la quimioterapia tópica, como el 5-Fluorouracilo (5-FU), ha demostrado ser una alternativa efectiva y menos invasiva, permitiendo tratar lesiones visibles y subclínicas mientras preserva la anatomía ocular y evita complicaciones quirúrgicas.
Un caso clínico presentó a un paciente de 37 años con una lesión progresiva en el ojo derecho. La ultrabiomicroscopía confirmó NESO sin infiltración ocular profunda. Se optó por 5-FU en ciclos intermitentes de cuatro semanas, logrando controlar efectos secundarios como hiperemia conjuntival con lubricantes y esteroides.
Tras cinco meses de tratamiento, se evidenció una reducción significativa de la lesión. Este caso subraya la efectividad del 5-FU como alternativa no quirúrgica para NESO, con adecuada tolerancia y resultados óptimos cuando se combina con seguimiento clínico estrecho.
Process Optimization in Semiconductor Manufacturing: The Role of Big Data Analytics in Yield Improvement
Authors: - Tarun Parmar
Published: January 2025

The semiconductor industry faces increasing challenges in maintaining high yields and reducing costs as manufacturing processes become more complex. Big-data analytics has emerged as a powerful tool for process optimization, enabling manufacturers to extract valuable insights from vast amounts of production data and make data-driven decisions. This review explores the role of big data analytics in semiconductor manufacturing, focusing on its applications in yield improvement. We discuss traditional approaches to process optimization, such as Six Sigma and Design of Experiments, and highlight their limitations in addressing the complexity of modern semiconductor manufacturing. We then delve into the transformative potential of big data analytics, examine key data sources in semiconductor fabs, and integrate advanced analytical techniques, such as machine learning and deep learning, for fault detection, classification, and predictive maintenance. This review also covers the importance of real-time analytics and edge computing in reducing latency and improving process control, as well as the challenges associated with data integration and management across manufacturing systems. We present case studies demonstrating the successful implementation of big data analytics in semiconductor fabrication, showing quantitative improvements in yield, cycle time, and overall equipment effectiveness. Finally, we discuss the technical and organizational challenges in implementing big data analytics and highlight emerging trends and future research directions, such as quantum computing and AI-driven process design. This review provides a comprehensive overview of the transformative potential of big data analytics in semiconductor manufacturing and its critical role in driving innovation and efficiency in the industry.
Data Location and Data Type Considerations for Identifying Security Measures
Authors: - Anand Athavale
Published: January 2025

Defining security measures is a complex process and it involves more than just InfoSec teams. Effective security measures help reduce probability and impact of a ransomware or a compliance breach. In the real world, many of those security measures are common, but those are scattered among different IT practitioners. This article elaborates on data location and data type considerations to help define a subset of security measures which cut across storage, application, and security administrators. Data location type, while driven by the purpose, may not be specified by the data owners and data operators but instead left to the discretion of IT staff, to fit within scale, budget, and architectural considerations. Data type is also derived by the data purpose but sometimes selected by the data owners or creators, based on the choices available to meet the purpose. IT and security practitioners getting ready to define security measures for data in their organization will benefit from this article, by learning the role data location type and data type plays in identifying security measures.
Designing Scalable Microservices Architectures for Real-Time Communication Systems
Authors: - Varun Garg
Published: January 2025

Real-time communication systems are integral to modern applications, providing services like video conferencing, voice calls, and messaging. These systems demand low latency, high availability, and scalability especially as user bases rise to millions. Monolithic designs are insufficient for such demands, so microservices architectures are taken up. This work studies scalable design concepts especially for systems of real-time communication. Using distributed databases, container orchestrator, and asynchronous messaging, it investigates fault tolerance and high performance. Considered are important technologies ranging from WebRTC for peer-to--peer media handling to Kubernetes for workload orchestration to NoSQL databases like DynamoDB. Important issues include control of distributed states and handling of fault isolation are resolved by architectural solutions. This work clarifies how best to maximize cloud-native systems for real-time needs, therefore advancing theoretical and practical knowledge for the building of durable, scalable communication platforms.
Enhancing Motor Skills and Sensory Integration in Children with Autism Spectrum Disorder through Physical Therapy: A Comprehensive Review of Techniques and Outcomes
Authors: - Lajibhai Makwana
Published: January 2025

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder associated with the difficulty of communication, social interaction, and repetitive or obsessive behaviors. In addition to core ASD features, these children are usually characterized by motor dysfunction and frequent sensory integration
problems that drastically limit their presentation of daily skills, social relationships, and developmental progress. Evaluation and treatment of these deficits have been realized through physical therapy (PT), which is globally board-recognized as an effective, non-invasive, and research-based protocol. This paper also revisits studies of motor coordination, sensory integration, and functional independence that PT has made in children with ASD. The paper discusses various forms of PT, such as gross motor development, fine motor coordination, balance, and sensory-motor strategies. These therapies evidenced in the paper show the positive effects on motor planning, sensory integration, and the overall quality of life of children with ASD. Nevertheless, PT is not without its challenges: precise and extensive variations in the therapeutic result, low availability of specialized services, and little or inadequate research information concerning therapeutic endurance and causality. In this way, it is possible to work through the indicated limitations and include additional innovations in the practice of physical therapy to facilitate improvements that will help children with ASD cope with motor and sensory problems
The Evolutionary Path and Influence of Linux Operating Systems
Authors: - Harika Sanugommula
Published: January 2025

Linux is an open-source operating system that has significantly influenced the computing landscape since its inception in 1991. This paper explores the overview of Linux, its architectural components, and its impact on various domains such as servers, cloud computing, and embedded systems. Through detailed analysis and examples, we highlight the advantages and challenges associated with Linux, along with its role in driving innovation in the software industry
Enhancing Scalability and Reliability of Batch Data Transformation Workflows Using Automation and Orchestration Tools
Authors: - Varun Garg
Published: January 2025

Moving data around in large volumes within big businesses is a natural happening of business nowadays. With this exponential growth, the need for more reliable, scalable, and effective batch data transformation techniques becomes increasingly important. As the need for data processing increases, so too has the complexity of managing and overseeing such systems. Automation and orchestration technologies as Apache Airflow and AWS Step Functions greatly help to maximize batch operations by automating job execution, managing problematic dependencies, and improving fault tolerance. Apache Airflow is perfect for very flexible, code-driven procedures with simplicity for complex data pipelines. Conversely, AWS Step Functions provide a serverless architecture with strong connection with the AWS environment, therefore enabling perfect scaling and robust error-handling capability. Together with research of how different technologies manage scalability, reliability, and dependency management—the main challenges with batch data transformation—are examined in this paper. Moreover, a comparison of their benefits and disadvantages guides businesses in choosing the technology most appropriate for their specific need. Discussed are best practices for implementation and future trends in workflow automation including the integration of machine learning, real-time monitoring, and multi-cloud installations, therefore providing a whole picture of the shifting terrain of data engineering.
Real-Time Location Systems (RTLS): Harnessing IoT for Enhanced Tracking and Efficiency
Authors: - Ashok Kumar Kalyanam
Published: January 2025

RTLS represents the new generation of technologies that harness the power of the IoT to perform asset, people, and operational tracing with accuracy in real-time. By integrating location-tracking hardware with progressive data analytics platforms, RTLS drives better visibility and operational efficiency in various industries, but one in particular: retail. IoT acts as the backbone for RTLS, where different systems interconnect for data collection, processing, and analysis. The benefits of RTLS in retail include improved inventory accuracy, enhanced customer experience through personalized services, streamlined supply chain operations, and real-time insights into store performance. The technical architecture of RTLS involves multilayers, which include data collection with the help of IoT-enabled sensors, transmission of data over wireless networks, and centralized processing over cloud or edge computing platforms for actionable insights provided through user-friendly dashboards. These systems are increasingly adopted in retail settings around the world, as case studies have demonstrated their effectiveness in optimizing store layouts, theft prevention, and contactless checkout experiences. This article discusses RTLS, its basic theory, IoT cooperation, technical architecture with a detailed chart showing how this works. Case studies from the world and applications in renowned retail brands highlight some of the transformative potentials of RTLS. By examining these implementations, it shows how RTLS is capable of driving innovation, efficiency, and customer satisfaction in modern retail.
GIS for Remote Sensing and Data Integration in IT Operations
Authors: - Kirti Vasdev
Published: January 2025

Geographic Information Systems (GIS) have revolutionized the integration of remote sensing technologies in IT operations. By enabling spatial analysis and data visualization, GIS provides a framework for synthesizing vast amounts of geospatial data to support IT decision-making. This paper explores the theoretical underpinnings of GIS in remote sensing and its applications in IT operations. Through case studies, the paper examines successful integrations, challenges, and the transformative impact of GIS-driven insights. Additionally, the study provides diagrams to illustrate GIS workflows, data integration techniques, and use cases.
Reinforcement Learning in Credit Card Fraud Detection: The Power of Always Learning
Authors: - Puneet Sharma
Published: January 2025

Fraud detection systems are locked in an arms race against adversaries whose ingenuity knows no bounds. Traditional approaches—static rules, supervised models, and manual reviews—struggle to adapt to ever-evolving fraud tactics. Reinforcement Learning (RL), a paradigm rooted in reward-based optimization, revolutionizes the landscape by enabling systems that learn, evolve, and strategize in real time. Unlike conventional models constrained by historical data, RL thrives in uncertainty, exploring decision spaces with unparalleled agility.
This paper delves into RL's application to credit card fraud detection, covering critical aspects such as policy optimization, reward engineering, state-space representation, and adversarial robustness. RL systems hold immense potential to autonomously decipher fraud patterns, adapt to emerging threats, and collaborate seamlessly across financial networks. With fraud losses projected to exceed $40 billion globally, RL's role is not merely a solution but a necessity.
Unlocking Insights: Leveraging Salesforce Data Cloud for Enhanced Customer Understanding
Authors: - Alpesh Kanubhai Patel
Published: January 2025

In the data-driven business landscape, understanding customer behavior and preferences is essential for sustained growth. Salesforce Data Cloud provides a comprehensive, cloud-based platform that consolidates data from various sources, offering advanced analytics and a unified view of the customer. This article explores the significant role that data plays in modern business, the key features of Salesforce Data Cloud, and how it can be leveraged to enhance customer insights. Additionally, the article outlines best practices for successful implementation, focusing on personalization, predictive analytics, cross-channel consistency, and improved customer support. By adhering to these practices, businesses can unlock the full potential of Salesforce Data Cloud, driving growth through deeper customer understanding and optimized marketing strategies.
Funding Strategies for Startups in Autonomous Robotics
Authors: - Saiman Shetty
Published: January 2025

The autonomous robotics sector presents unique funding challenges for startups, primarily due to its high capital demands and inherent market uncertainties. This paper delves into these challenges by systematically analyzing various funding strategies, encompassing both traditional models such as venture capital and private equity, and innovative approaches including crowdfunding and government grants. The research employs a mixed-methods approach, combining quantitative analysis of financial data with qualitative insights from industry interviews and case studies. Key findings reveal that a hybrid funding model, integrating venture capital with government incentives, emerges as the most viable option for fostering growth and sustainability in emerging autonomous robotics startups. These findings have significant implications for stakeholders seeking to navigate the complex financial landscape of this dynamic industry, offering a roadmap for effectively channeling resources into promising technologies and ensuring long-term industry advancement.
Cost-Effective Blockchain Implementation in Healthcare
Authors: - Gopi Krishna Kalpinagarajarao
Published: January 2025

This paper considers the proliferation of blockchain into the healthcare industry, and critically analyses the cost implications of the implementation of blockchain in the healthcare setting. In specific, blockchain algorithms together with its associated transaction cost economics contribute positively to its cost-effectiveness in implementation
Leveraging Cloud Computing for Advanced Applications in the Automotive Industry
Authors: - Suresh Sureddi
Published: January 2025

With the growing demand for vehicle connectivity, data management, and computation power, the automotive industry has recently started recognizing cloud computing as a transformative technology. Traditionally, all industries stored their data on their personal devices, and to use that for any computing tasks, they were wholly dependent on their own IT infrastructure, but now the times have changed, and industries have started taking advantage of cloud services for computation and data storage. With the adoption of Cloud computing, many industries have seen a considerable difference in their business operations and Customer experience [1]. Automotive is no exception. This article details about the advantages of using the cloud and several use cases where the cloud services are being used in automotive applications.
Dynamic Data Retrieval in Client-Server Architectures: Protocols, Strategies, and Future Directions
Authors: - Akash Rakesh Sinha
Published: January 2025

Dynamic data retrieval is a cornerstone of modern web applications, enabling responsive and efficient communication between clients and servers. With the proliferation of diverse client devices and the growing demand for real-time data, adaptive data fetching strategies have become essential. This paper provides a comprehensive examination of critical protocols and strategies for adaptive data retrieval based on client-server capabilities. We explore key web response types, including REST APIs, GraphQL, gRPC, WebSockets, WebHooks, and data streaming techniques. Each protocol is dissected to understand its architecture, best practices, and suitability across different scenarios.
Our research delves into the evolution of data communication protocols, highlighting the transition from basic HTTP requests to advanced real-time exchange mechanisms. We propose strategies for tailoring data delivery based on client capabilities, network conditions, and application requirements. Through a comparative analysis, we assess performance metrics, advantages, and limitations of each protocol. Security and privacy considerations are addressed to ensure robust and compliant implementations. We also explore future trends, such as the integration of artificial intelligence and machine learning for predictive data fetching. The findings aim to guide developers and researchers in selecting optimal protocols and strategies, ultimately enhancing the performance and user experience of web applications.
Automating Database Management Using Schema Verification and Version Control for Continuous Integration and Deployment: A Plugin Based Approach
Authors: - Gautham Ram Rajendiran
Published: January 2025

Automated Schema Deployment and Version Control is a critical aspect of Data Management pipelines in modern data applications . Automating this process can save considerable time, reduce errors, and streamline database migrations across environments. This paper presents the advantages of a centralized plugin-based schema version control and outlines the advantages of having such a setup. It also explores the implementation of such a plugin by using Liquibase and ANT build system.
The Impact of COVID-19 on the U.S. Trucking Industry: Operational Challenges and Responses
Authors: - Bhavya Vashisht
Published: January 2025

The COVID-19 pandemic presented the U.S. trucking industry with unprecedented challenges, testing the resilience of a sector that is critical to maintaining the flow of goods across the country. This paper investigates the operational hurdles faced by trucking companies during the pandemic, focusing on supply chain disruptions, freight volatility, driver health and safety, mental health issues, and management's strategic responses. Data collected from personal experiences, industry interviews, and social media reveals the immense pressure faced by drivers and operations teams to adapt to rapidly changing conditions. The study explores the lasting impact on the industry and outlines recommendations for future crisis preparedness.
Challenges in Interoperability of IoT Devices: Towards a Unified Standard
Authors: - Aqsa Sayed
Published: January 2025

The Internet of Things (IoT) is transforming industries, enhancing automation, and improving daily life through inter-connected devices. However, as the IoT ecosystem expands, the interoperability between devices from different manufacturers remains a significant challenge. This paper examines the challenges that hinder IoT device interoperability, such as the variety of communication protocols, inconsistent data formats, security concerns, and the lack of a unified standard. We also explore ongoing efforts toward standardization, including popular communication protocols and industry initiatives, and argue for the need for a universal IoT standard. By addressing these challenges and promoting industry collaboration, we suggest a pathway to creating a unified IoT ecosystem that will foster greater device integration and more efficient functioning of connected systems
Zero Trust Architecture for Financial Institutions
Authors: - Ajay Benadict Antony Raju
Published: January 2025

Zero Trust Architecture (ZTA) has now become the go-to model for improving cybersecurity especially for organizations in the financial sector that deals with sensitive and valuable data. Compared to ordinary security models that are characterized by perimeter protection means, ZTA is based on the “never trust, always verify” paradigm, which implies that threats originate from inside and outside the network. This shift in information security paradigm is essential for the financial services providers as they need to deals with advanced organized cyber threats, stricter compliance measures, and growing opportunities for customer/clients’ data and financial information theft/loss. ZTA implies micro-segmentation, continuous authentication, and using least privilege to control access, for user, devices, and applications are approved only after conducting a thorough check. In this way, with help of ZTA, risks connected with insiders, breaches, and unauthorized access can be reduced in financial institutions. Further, the ZTA implementation enables regulatory compliance since the framework offers sound ways of monitoring and evaluating the access rights to confidential data. These are the general framework of ZTA, how it applies to financial institutions, as well as how leveraging this architecture helps in protecting against current cyber threats.
Driving Agile Excellence in Insurance Development through Shift-Left Testing
Authors: - Chandra Shekhar Pareek
Published: January 2025

As digital transformation accelerates within the insurance sector, the demand for robust, agile, and scalable software systems has reached unprecedented levels. Insurance platforms, encompassing policy management, underwriting, and claims processing, require high reliability to address complex customer
needs and regulatory compliance. Traditional testing strategies often fail to match the pace of Agile and DevOps workflows, leading to delayed defect discovery, increased rework, and compromised software quality.
This paper introduces Shift-Left Testing as a revolutionary paradigm for enhancing quality assurance by integrating testing earlier into the software development lifecycle (SDLC). By adopting practices such as automated regression testing, API validations, and model-based test case design, organizations can minimize defects, streamline delivery pipelines, and achieve operational excellence. Furthermore, the infusion of AI/ML-driven testing accelerates anomaly detection and predictive analytics, ensuring that
potential risks are identified proactively. Using real-world insurance use cases, such as accelerated underwriting and real-time policy issuance, this study underscores the efficacy of shift-left testing in mitigating domain-specific challenges. Through a blend of technical insights and actionable strategies, we position shift-left testing as a critical enabler for achieving faster delivery, reduced costs, and uncompromised quality in the insurance industry’s evolving
landscape.
Blockchain and Distributed Ledger Technologies for Secure Financial Transactions
Authors: - Ajay Benadict Antony Raju
Published: January 2025

Transformative innovation of blockchain technology and distributed ledger technologies greatly impact secure financial transactions. This paper mainly discusses the importance of blockchain and distributed Ledger Technologies, and the principles behind these technologies to revolutionize the security and transparency of the financial industry. The risk factor in banking or any financial industry for transactions can be reduced by a decentralized transaction method and records, employing the cryptographic techniques involved in blockchain technology. This paper widely discusses the various applications of blockchain in finance, including cryptocurrency, smart contracts, digital tokens, and cross-border payments. Understanding all the merits and demerits of blockchain and DLTs, this paper will provide a clear understanding of using blockchain and DLTs for secure, efficient, and transparent financial transactions and how they can transform financial transactions in a digital economy.
Migrating Home-Grown Sales Systems to Salesforce CRM: Challenges, Solutions, and Long-Term Benefits
Authors: - Kiran Konakalla
Published: January 2025

This paper discusses the migration of a company's home-grown internal sales tracking system to Salesforce CRM, outlining the steps involved, the challenges architects face during such a migration, and how to overcome them. Home-grown systems often have limitations such as lack of scalability, difficult reporting, and limited cloud capabilities, which Salesforce Sales Cloud addresses with its suite of automation and reporting tools. The paper further explores the key migration steps, potential pitfalls, governance concerns, and the benefits post-migration, along with KPIs to measure success.
Building a Dynamic Data Ingestion Framework to Manage Schema Evolution for an Enterprise
Authors: - Shreesha Hegde Kukkuhalli
Published: January 2025

In the era of big data, the dynamic nature of data sources has led to increased complexity in data ingestion frameworks, especially when managing schema evolution. Traditional data ingestion pipelines often fail to adapt effectively to changing data structures, leading to data loss, delays, and errors. This paper proposes a novel dynamic data ingestion framework designed to handle schema evolution seamlessly in real-time. This framework leverages schema inference, metadata-driven transformations, and automated version control to support heterogeneous data sources, reduce latency, and enhance data accuracy. Our experimental results show significant improvements in adaptability and data integrity compared to traditional ingestion architectures
Continuous Security in DevOps: Implementing DevSecOps for FinTech
Authors: - Ajay Benadict Antony Raju
Published: January 2025

In the context of contemporary technologies and rapidly developing applications of financial technologies (FinTech), sound and reliable security has to be considered essential at each stage of software development. DevSecOps can also be defined as the incorporation of security practices into the DevOps and has later become a popular solution for implementing continuous security in FinTech applications. DevSecOps is an extension of the best practice model of DevOps where security is knitted into the development and operation process instead of being adding at the end of the process. This is a proactive approach considering that most security threats will be pin pointed early before development hence minimizing on the cases of breaches and also meeting the set regulatory requirements.
Micro-Mechanics Design: Creating High-Precision Small-Scale Mechanical Component
Authors: - Sakthivel Rasu
Published: January 2025

Micro-mechanics design focuses on creating tiny mechanical parts crucial in many industries, including electronics, healthcare, aerospace, and optics. While technology shrinks in size, it increases in complexity, with a growing need for precision in small-scale components.
The paper investigates the design of these components, highlighting some fundamental principles such as precision, choice of materials, and scalability. It also examines how engineers face challenges while assuring accurate dimensions and understanding material behavior on a small scale.
Other advanced manufacturing methods for these parts include photolithography, micro-milling, and 3D printing.
It also offers the manifold applications that drive innovation in micro-mechanics, from MEMSs to bio-medical devices, and future trends that may change micro-mechanics’ design. This paper shows that the developments in micro-mechanics enable technology in various new technologies and improvements in a wide range of industries of Simulation Tools on Mechanical Design Validation.
Enhancing Work-Life Balance, Productivity, and Skills Improvement in Modern Work Environments
Authors: - Harika Sanugommula
Published: January 2025

In today's fast-paced work environments, balancing professional responsibilities with personal life has become increasingly challenging. This paper explores the interconnected themes of work-life balance, productivity, and skills improvement. It discusses the importance of achieving a harmonious balance, the impact of productivity on personal and professional growth, and effective strategies for continuous skills enhancement. By analyzing relevant research and best practices, this study aims to provide insights into optimizing work-life dynamics while fostering individual and organizational success.
Overcoming Common Challenges in BI Implementation: Strategies for Success
Authors: - Ghouse Baba Shaik
Published: January 2025

Organizations are increasingly using Business Intelligence (BI) solutions to achieve success via data driven insights in today's fast paced business climate. Businesses have been able to make informed and strategic choices thanks to traditional BI systems like SAP BusinessObjects (BO), Cognos, and other legacy technologies. Nonetheless, the growing demand for real-time data analysis and foresight has driven businesses to include complex analytics into their business intelligence platforms. This paper examines the role of BI in driving business growth, focusing on the integration of legacy tools with advanced analytics. It demonstrates how this integration speeds up decision-making, increases operational efficiency, and reveals new income prospects. This paper reviews many case studies and business intelligence deployments to demonstrate how firms may use data insights to influence strategic goals, improve operational efficiency, and maintain a competitive advantage in market trends.