bluuebunny/crossref_metadata_2025 huggingface dataset:
Morphophonemic Analysis of the Novel Ingkar by Boy Candra: Phoneme Changes, Phoneme Additions, and Phoneme Deletions
Authors: Duwi Andinis  , Wahyu Widayati  , Simanjuntak Nensy Megawati
Published: January 2025

Along with the times and advances in technology, language is also experiencing changes which result in the formation of new vocabulary and new variations of morphemes. To understand the process of change, researchers are encouraged to conduct research in the field of morphophonemics. This study examines the morphophonemic processes in Boy Candra's novel "Ingkar," focusing on phoneme changes, additions, and disappearances. This research focuses more on the morphophonemic processes in the prefixes meN- and peN. This study is done in qualitative ways because information is obtained by describing words or sentences that contain morphophonemic processes. The research instrument is the researcher himself with the help of an indicator table to make it easier for the researcher to process the data. The data collection technique is in the form of a listening technique, with basic tapping techniques and advanced techniques, namely proficient free-involved listening. The findings align with Ramlan's theoretical framework, which outlines specific phoneme transformations based on morpheme interactions. Key observations include the transformation of the phoneme /n/ to /m/ when meN- and peN- join words with certain prefixes, and the addition of phonemes in specific morphological environments. These patterns illustrate the dynamic interplay between morphology and phonology in Indonesian. The recommendations for further research suggest comparative analyses across different genres and dialects, as well as cognitive and psycholinguistic studies to deepen understanding of morphophonemic processing. This research contributes to a comprehensive understanding of morphophonemics in Indonesian, with implications for linguistic theory, language teaching, and computational applications.
A Comprehensive Analysis of Narrative and Character Elements in The Conjuring (2013) Through Repertoire of Elements and Propp's Theory
Authors: Indradewi Amalia , I Gusti Agung Sri Rwa Jayantini
Published: January 2025

This study provides a comprehensive analysis of the 2013’s movie The Conjuring through Nick Lacey’s Repertoire of Elements and Vladimir Propp’s Narrative Theory. The movie, directed by James Wan, is recognized for its intricate horror narrative and rich character development. By examining the movie’s use of style, iconography, character roles, narrative structure, and setting, this research demonstrated how these elements worked together to create a compelling supernatural experience. Applying Lacey’s theory revealed the movie’s adherence to genre conventions through its dark, atmospheric settings and minimal lighting. Interestingly, the movie did not feature a "false hero", a deviation from Propp's theory, which the movie emphasized the clear moral presented in the story. The absence of this character type suggested a more straightforward narrative focus on the struggle between good and evil, without the complication of betrayal from the protagonist's ranks. In conclusion, The Conjuring Movie's linguistic and visual elements  were integral to the movie's ability to engage and terrify its audience. The camera work, lighting, and sound, combined with a well-defined character structure, created a compelling narrative that resonated with viewers, reinforcing the movie's status in the supernatural horror genre.
Enhancing Academic Writing through Digital Tools: A Systematic Review
Authors: Ramadhan Risca Ariska , Abdul Rahim  , Darmanto  , Paris Atika Salman
Published: January 2025

The integration of digital tools in academic writing has significantly enhanced students' writing proficiency across various educational levels. Tools such as grammar checkers, citation managers, plagiarism detectors, and collaborative platforms help students produce more structured, academically compliant writing. These tools support technical skill development while also increasing educational accessibility, providing students from diverse backgrounds with greater opportunities to improve their writing abilities. AI-based writing assistants, in particular, help reduce grammatical errors and expand vocabulary, while multimodal technologies encourage creativity by enabling students to integrate visual and audio elements into their work. This literature review, using PRISMA and bibliometric analysis, synthesizes studies from 2019 to 2024, examining how digital tools impact writing clarity, adherence to academic standards, and structured argumentation. The review reveals that while digital tools significantly enhance writing skills, their overuse can result in a dependency that impairs the development of critical thinking and creativity—key components of strong writing. The implications of these findings stress the importance of digital literacy training within curricula, ensuring that students use digital tools responsibly and complement their writing skills with analytical and creative thinking. Additionally, professional development for educators is essential, enabling them to guide students in effectively integrating these tools. Ultimately, a balanced approach to digital tool use can enhance academic writing while contributing to the broader goal of fostering well-rounded, digitally literate learners.
A Critical Discourse Analysis of Nadiem Makarim's Speech on Merdeka Belajar at the 2024 National Education Day
Authors: Gema Febriansyah  , Rita Novita  , Melyanda Agustin Chairina  , Tia Kharina Elvonny
Published: January 2025

This study critically analyzes Nadiem Makarim's 2024 National Education Day speech, focusing on how language reflects and reshapes power dynamics and ideology within Indonesia’s Merdeka Belajar (Independent Learning) reform initiative. The research seeks to answer two key questions: how does the speech frame educational reform through discourse, and how does it distribute power and convey participatory ideology? Using Fairclough’s Three-Dimensional Model and van Dijk’s Power and Ideology framework, this qualitative study examines the textual, discursive, and social practices within the speech. The findings reveal that the speech strategically emphasizes decentralization, teacher and student empowerment, and cultural values of gotong royong (mutual cooperation) while reframing challenges, such as the pandemic, as opportunities for systemic change. These results suggest that the speech functions as a tool to foster collective responsibility and support for long-term educational reform. The study concludes with recommendations for policymakers to adopt inclusive, culturally resonant discourse to ensure effective communication of reform initiatives. Future research could explore the long-term impact of such discourse on policy implementation across diverse educational contexts.
Diagnosing the Factors Influencing Knowledge Hoarding Behaviors: An Exploratory Study of the Opinions of a Sample of Faculty Members at the University of Mosul
Authors: Ibrahim Nisreen Mahmoud , Al-Shammari M. D. Ihab Fakhri Yousef Mustafa
Published: January 2025

The current study aims to diagnose the factors that affect knowledge hoarding and its representation by the following factors: power and authority dynamics, and lack of trust. (job security, competition, ostracism in the workplace, bullying behaviour, culture of participation, incentives) among faculty members at the University of Mosul by answering the questions: “What are the factors affecting the knowledge-hoarding behaviours of the faculty in the colleges of the University of Mosul?” and according to the above, it is possible to diagnose Several questions, as follows: A. Do the individuals surveyed have a perception of knowledge hoarding, as well as the factors influencing it? B. Can (the factors affecting knowledge hoarding) be represented by factors (power and authority dynamics, lack of trust, job security, competition, ostracism in the workplace, bullying behaviour, culture of participation, and incentives) or will the global structure take another form among faculty members? At the University of Mosul? To achieve the above, the questionnaire was designed as a main tool in collecting data to measure the factors influencing knowledge-hoarding behaviors. These obstacles were covered through (40) items included in the questionnaire. The University of Mosul was a research field for the current study as it is one of the most important community organizations, and the opinions of a sample of (40) were investigated. 228) members of the teaching staff with their various academic titles at the University of Mosul. The data was analyzed and analyzed using several statistical methods. The results were extracted using ready-made computer software (SPSS. Ver. 19) and (Amos. Ver. 24), and based on what was done. The results were reached that supported the hypotheses and objectives of the study and indicated a set of conclusions, the most important of which are: The results of the confirmatory factor analysis confirmed that the measurement model for this study was consistent with the standards of the goodness of fit required after conducting a re-test of this model, which indicated the possibility of adopting indicators to measure the factors affecting knowledge hoarding in The University of Mosul, after surveying the opinions of its teaching staff, as indicators that enhance the ability to diagnose the factors affecting the accumulation of knowledge at the University of Mosul through the teaching staff of this university. Based on the results of the study, the thesis concluded with a set of proposals highlighting the possibility of benefiting from diagnosing the factors influencing knowledge hoarding to come up with mechanisms that work to overcome such behaviors and work to reduce behaviors that would lead to knowledge hoarding at the university.
Accumulation of Heavy Metal and Microbial Contamination of Smoked Catfish (Clarias gariepinus)
Authors: Ayotunde Karimu Olajubu , Remi Victor- Osanyinlusi
Published: January 2025

Recently, over 70% of fish are smoked as a means of preservation. Smoking is an ancient processing method that remains widely practiced in Nigeria today. This study investigates the levels of heavy metal accumulation and microbial loads in smoked catfish obtained from two different catfish farms to determine the safety of smoked catfish sold in Owo during the research period. Samples were collected from two farms (Farm 1 and Farm 2) in Owo, located in Owo Local Government Area, Ondo State, Nigeria. The identified microorganisms included Streptococcus spp., Staphylococcus aureus, Bacillus spp., Klebsiella spp., Pseudomonas aeruginosa, and Escherichia coli. The microbial counts for samples A and B were as follows: Streptococcus spp. (90.0 and 60.0), Staphylococcus aureus (160.0 and 170.0), Bacillus spp. (230.0 and 215.0), Klebsiella spp. (110.0 and 120.0), Pseudomonas aeruginosa (15.0 and 10.0), and Escherichia coli (2.0 and 1.0). For heavy metals, the concentrations were Cu (0.001 and 0.000), Cd (0.222 and 0.002), Cr (0.840 and 0.670), Mn (2.33 and 1.99), and Zn (132.020 and 127.001). The highest microbial count was observed in Bacillus spp. from Sample A (230.0) and Sample B (215.0), while the lowest was found in Escherichia coli from Sample B (1.0) and Sample A (2.0). Among the heavy metals, zinc was the most abundant in both samples, with Sample A (132.020) having a higher concentration than Sample B (127.001). Copper was the least abundant, being almost undetectable in Sample A (0.001) and entirely undetectable in Sample B (0.000). The study revealed variations in microbial and heavy metal contamination levels between catfish farms. It highlights the need for regulatory authorities to enforce moisture control measures and implement strategies to reduce human activities that may lead to bacterial growth and heavy metal contamination in smoked catfish products.
Efficacy of Lorlatinib on Cerebral Metastases in the Management of Alk-Positive Lung Adenocarcinoma, Case Report
Authors: Poudiougou Abdoul Karim , Traoré Hamadoun , Sano Faman , Taleb Imad , Elm'hadi Choukri , Tanz Rachid , Errihani Hassan
Published: January 2025

Bronchial cancers are the leading cause of brain metastases and, in the absence of treatment, the median survival time for patients with bronchial cancer complicated by symptomatic brain metastases is approximately one month. Genetic sequencing has radically changed the management of non-small cell lung cancer over the last few decades. Anaplastic lymphoma kinase (ALK) rearrangements are responsible for 3-7% of non-small cell lung cancers. Patients with ALK-positive non-small cell lung cancer have a particular phenotype compared with other non-small cell lung cancers: they are younger, non-smokers and more frequently present with brain metastases. Anaplastic lymphoma kinase (ALK) tyrosine kinase inhibitors (TKI) are the standard recommended first-line treatment for patients with ALK-positive in non-small cell lung cancer. Lorlatinib is a third-generation brain-penetrant ALK TKI that has greater coverage of ALK resistance mutations than second-generation ALK inhibitors. Conclusion: Brain metastases are a poor prognostic factor and are common in non-small cell lung cancer. Lorlatinib is a potent third-generation ALK tyrosine kinase inhibitor that has improved penetration of the central nervous system across the blood-brain barrier, resulting in higher intracranial response rates and preventing brain metastases.
Peripapillary Hyperreflective Ovoid Mass-Like Structures as a Finding of Pseudopapilledema in Myopic Children with Tilted Disc Syndrome
Authors: Makino Shinji
Published: January 2025

We describe two cases with peripapillary hyperreflective ovoid mass-like structures (PHOMS) as a finding of pseudopapilledema in　myopic children with tilted disc syndrome. Case 1: An 11-year-old boy presenting with suspected papilledema in left eye. The patient had moderate myopia in both eyes. Ophthalmoscopic examination revealed optic disc edema and tilted disc in left eye. Peripapillary optical coherence tomography (OCT) demonstrated PHOMS in left eye that was located in the nasal sector. Case 2: A 15-year-old boy presenting with suspected papilledema in left eye. The patient had mild myopia in both eyes. Ophthalmoscopic examination revealed optic disc edema and tilted disc in left eye. Peripapillary OCT demonstrated PHOMS in left eye that was located in the nasal sector. Clinicians should be aware of PHOMS when a patient presents with myopic eyes and tilted disc syndrome, as in these cases.
Punctuation in the Digital Age: A Comparative Study of Punctuation Use in Handwritten vs. Typed Essays among Undergraduate Students
Authors: Abdulmumini Isah , Musa Ahmad Shehu
Published: January 2025

This study examines the use of punctuation in handwritten and typed essays among 400-level students of Federal University Gusau, aiming to provide a comparative analysis of their punctuation proficiency across both formats. The data was collected from an assignment submitted in Microsoft Word format via email to the course lecturer of English for Specific Purposes during the 2023/2024 academic session. Additionally, in-class test scripts on punctuation usage from students at Ahmadu Bello University, Zaria, served as supplementary data. The research employs Error Analysis, following the four-stage framework outlined by Ellis (1994): (1) collection of learner language samples, (2) identification of errors, (3) description of errors, and (4) explanation of errors. Findings indicate that students make more punctuation errors in handwritten essays compared to typed ones. The study emphasizes the need to enhance undergraduate students’ proficiency in punctuation use and suggests that educators should tailor their teaching strategies to address this weakness. Furthermore, both handwritten and typed assignments play a crucial role in students’ academic development and should be given equal importance.
Investigation of Class 1 Integrons (intl1) and Insertion Sequences Common Region (ISCR1) Genes Cassette in Multidrug Resistance Bacteria
Authors: Sadiq Shadman Tariq
Published: January 2025

The phenomenon of multidrug resistance (MDR) in bacteria represents a significant global health challenge, particularly in hospital environments where resistance genes proliferate through mechanisms such as class 1 integrons and ISCR1 elements. This study investigates the impact of these genetic elements in facilitating antibiotic resistance genes (ARG) dissemination among non-pathogens and key pathogens, specifically Pseudomonas aeruginosa and Staphylococcus aureus, which are notorious for causing nosocomial infections. Through isolation and identification of bacterial strains, antibiotic susceptibility testing, and genomic analysis, we demonstrate a concerning prevalence of resistance to critical antibiotics, particularly β-lactams, aminoglycosides, and fluoroquinolones. Our findings reveal that both Int1 and ISCR1 contribute to the genetic mobility of resistance traits, complicating treatment protocols and elevating healthcare costs due to ineffective therapies. The study emphasizes the urgent need for continued research into the mechanisms of antibiotic resistance dissemination and the development of novel antimicrobial strategies targeting these genetic elements. Furthermore, our results highlight the importance of understanding the historical context of antibiotic resistance gene mobilization as a means to inform healthcare practices and mitigate the rising threat of MDR bacteria on a global scale.
Sistem Informasi Pendaftaran Anggota Baru Perpustakaan Makam Bungkarno Project Berbasis Web Menggunakan Metode Waterfall
Authors: Eka Prasetiawan  , Aldy Ibnu Faizal  , Erwan
Published: January 2025

Perpustakaan Makam Bung Karno (MBK) merupakan kumpulan buku dan bahan referensi yang berkaitan dengan Bung Karno, pelopor kemerdekaan Indonesia.Perpustakaan berperan penting dalam menyebarkan informasi dan pengetahuan tentang sejarah dan perjuangan bangsa Indonesia. Namun pendaftaran anggota baru ke MBK masih dilakukan secara manual sehingga memakan waktu dan tidak efisien. Hal ini dapat menjadi kendala bagi calon anggota yang ingin menggunakan layanan perpustakaan. Oleh karena itu, tujuan penelitian ini adalah mengembangkan sistem informasi pendaftaran anggota baru Perpustakaan Makam Bung Karno berbasis web. Sistem ini bertujuan untuk mempermudah dan mempercepat prosedur pendaftaran anggota baru serta meningkatkan efisiensi layanan perpustakaan. Kami menggunakan metode pengembangan sistem air terjun sebagai metode penelitian kami. Sistem ini dibuat dengan menggunakan bahasa pemrograman PHP dan database MySQL. Hasil penelitian menunjukkan bahwa pembangunan dan pengujian sistem informasi pendaftaran anggota baru di Perpustakaan Pemakaman Bung Karno berbasis web telah berhasil. Sistem ini terbukti  mempermudah dan mempercepat  pendaftaran anggota baru serta meningkatkan efisiensi layanan perpustakaan. Responden memberikan respon positif terhadap prototype yang ditampilkan.
Leading antioxidant remedies for the management of male reproductive dysfunction – A review
Authors: Tvrdá Eva , Benko Filip , Ďuračka Michal
Published: January 2025

Oxidative stress stemming from distortions in the balance between reactive oxygen species (ROS) and antioxidants, plays a leading role in the pathophysiology of male reproductive dysfunction. A convincing body of evidence emphasizes on the importance of oral antioxidant therapy in the management of male sub- or infertility. As such, the focus of this review is to present recent evidence assessing the in vivo effects of conventional and traditional antioxidant remedies on male reproductive function with a special emphasis on oral delivery of the substance and rats as the leading animal model in biology and medicine.
A Practical Application of Retrieval-Augmented Generation for Website-Based Chatbots: Combining Web Scraping, Vectorization, and Semantic Search
Authors: Pokhrel Sangita , K C Bina , Shah Prashant Bikram
Published: January 2025

The Retrieval-Augmented Generation (RAG) model significantly enhances the capabilities of large language models (LLMs) by integrating information retrieval with text generation, which is particularly relevant for applications requiring context-aware responses based on dynamic data sources. This research study presents a practical implementation of a RAG model personalized for a Chabot that answers user inquiries from various specific websites. The methodology encompasses several key steps: web scraping using BeautifulSoup to extract relevant content, text processing to segment this content into manageable chunks, and vectorization to create embeddings for efficient semantic search. By employing a semantic search approach, the system retrieves the most relevant document segments based on user queries. The OpenAI API is then utilized to generate contextually appropriate responses from the retrieved information. Key results highlight the system's effectiveness in providing accurate and relevant answers, with evaluation metrics centered on response quality, retrieval efficiency, and user satisfaction. This research contributes a comprehensive integration of scraping, vectorization, and semantic search technologies into a cohesive chatbot application, offering valuable insights into the practical implementation of RAG models.
THE MARKETING CHANNEL OF FRESH FISH PRODUCTS AT SENDANG BIRU BEACH
Authors: Keppi Sukesi  , Inggrida Jedda Ayu
Published: January 2025

Indonesia is one of the maritime countries that has a large coastal area where the area is around the beach that leads to the sea and to the land. One of the coastal areas that has a wealth of marine products is the Sendang Biru area located in Sumbermanjing Wetan District, Malang Regency, East Java. Sendang Biru beach is directly facing the Indian Ocean which has a long potential for abundant fishing. The informants obtained were 6 traders, this has been determined based on the criteria, namely female traders, working as fresh fish traders for at least 3 years, and selling various type of fish. There are four marketing channels that occur in Sendang Biru, based on the results of the interview, it was found that the first and fourth channels have better efficiency than other channels, this is because channels one and four are the shortest channels so that the price difference between fishermen and consumers is not high.
Modern Dönemde Bilge Olmak: Charron Çalışmaları Üzerine Bir Değerlendirme
Authors: Belkız Evren
Published: January 2025

Bu makalede 1950’li yıllardan itibaren Pierre Charron’un modern felsefedeki yerini tartışan çalışmaların bir değerlendirilmesi yapılmıştır. Charron, başta Descartes olmak üzere modern felsefenin önde gelen temsilcilerini etkilemiş olan bir filozof olarak bilinmektedir. Literatür, Charron’un modern düşüncenin erken bir temsilcisi olduğu konusunda uzlaşmıştır. Ancak mevcut çalışmaların bir kısmı düşünürü Septik, Stoacı veya Aristocu olarak nitelendirirken; diğerleri onun seküler etik anlayışının, insan bilimlerinin ve rasyonalizmin temellerini oluşturması bakımından modern felsefeye öncülük ettiğini öne sürmektedirler. Bu makalede Charron hakkındaki sunulan ihtilaflı görüşlere ilişkin bir tasavvur oluşturulması, mevcut çalışmaların metotları ve sonuçları üzerinden eleştirel bir değerlendirme yapılması amaçlanmaktadır. Değerlendirme sonucunda incelenen çalışmaların başlıca iki yöntem kullandıkları tespit edilmiştir. Bir kısmı Charron’u belli bir düşünce ekolüne nispet ederken; diğerleri düşünürün anlayışını kavramsal bir yaklaşım üzerinden tartışmaktadır. Değerlendirmemiz bu çalışmaların Charron’un hikmetini bütünüyle ve tutarlı olarak açıklayamadıklarını göstermiştir. Charron’un düşünce tarihindeki konumunun tam anlamıyla kavranabilmesi için hikmet anlayışını aydınlatacak alternatif yaklaşımlara ihtiyaç duyulmaktadır.
A STUDY TO ASSESS THE EFFECTIVENESS OF VIDEO ASSISTED PROGRAM REGARDING KNOWLEDGE OF HAND WASHING TECHNIQUE AMONG MIDDLE SCHOOL CHILDREN
Authors: Mr. Abdul Moid Khan
Published: January 2025

STATEMENT OF THE STUDY: A Study to Assess the Effectiveness of Video Assisted Program Regarding Knowledge of Hand Washing Technique Among Middle School Children
OBJECTIVE:1. To assess the knowledge regarding hand washing technique among middle school children at Patna.
2. To determine the practice regarding hand washing technique among middle school student. 3. To find the association between Pre-test and Post-test Knowledge regarding hand washing technique with their demographic variable.
MATERIALS AND METHODS: The study aimed to evaluate the effect of hand washing among school going children. Convenient study research design was used in 60 sample were chosen and simple random technique were chosen in selected sample. The effectiveness was assessed using self-structured questionnaire- test and post-test was conducted and assess the knowledge level regarding hand washing of children
RESULTS:The overall knowledge score obtained by subjects was Pre-test 155.66, Post-test 199.26 ,Chi-square value is3.83 and there is significant (P<0.05) association with the selected association between the post- test and pre-test with selected demographic variables of Middle School Children.
CONCLUSION: This indicates that the video assisted teaching programme was effective in improving knowledge regarding hand washing in the pre-test compared to the control group
KEYWORDS: Planned Video Assisted Programme, Knowledge, Handwashing School Children,.
Simple Implementation of 1D TVD Scheme for 2D Triangular Finite Volume
Authors:   Mechanical Engineering Department, Engineering Faculty, Universitas Andalas, Indonesia, Tasri Adek
Published: January 2025

In this paper a simple implementation of 1D TVD scheme to 2D triangular grid was proposed and sufficient condition for oscillation free solution of advection equation were found using monotone advective K-approximation. The approach was implemented to Superbee and Smart limiter and compared to Barth and Jespersen (BJ) scheme by using the schemes to well known classic case of advection of step and double step of scalar properties. Result indicated that all of the computed solutions are monotone and, apart from highly diffusive first order solution, they show similar level accuracy for test cases. Superbee limiter gives the best performance and follow by Smart limiter and BJ scheme.
Development of Real-Time Signal Processing Algorithm for Use in Biomedical Wearable Device
Authors: - Akshat Bhutiani
Published: January 2025

This paper presents the development of a real-time signal processing algorithm for use in biomedical wearable devices. The algorithm tackles the vital requirement for accurate, low-power, and effective physiological signal processing in wearable health monitoring systems, including heart rate, oxygen saturation, and electrocardiograms (ECGs). It makes use of optimum filtering methods and embedded control systems to guarantee continuous, real-time monitoring without shortening the battery life of the device. In an environment with limited resources, the algorithm improves signal accuracy and noise reduction by combining sensor fusion with sophisticated signal processing techniques. The implementation can be easily deployed in small wearable devices because it is optimized for ARM Cortex-M microcontrollers. The performance of the algorithm in terms of power consumption, computational efficiency, and its potential to enhance patient outcomes in practical applications are also covered in the study.
Data-Driven Decision Making: How Organizations Use Analytics to Transform their Strategies
Authors: - Manoj Kumar
Published: January 2025

The organizations now change their working strategy, switching from experience-based decisions to evidence-based decisions, depending on data analytics tools to lead their choices. Businesses and governments today rely more on real-time data rather than any assumptions to decide on definite action. This, in turn, assists these organizations in enhancing their efficiency, diminishing risks, and facilitating quicker adaptability to changes in the market, customer needs, or regulations. Predictive analytics, machine learning, big data systems-these tools supply organizations with useful insights from large volumes of data that enable them to make more correct and effective decisions, and it allows companies to model varied outcomes, improves risk management, and develops personalized customer experiences. Data analytics can support the government in planning, resource management, and delivery of better public services, hence making transparent and accountable decisions. In other words, for organizations to remain competitive and responsive in today's rich data environment there is an increasing need for data-driven strategies.
Understanding Learning Styles for Adaptive Learning Systems Using K-Means Clustering
Authors: - Syed Arham Akheel
Published: January 2025

This paper presents an advanced examination of clustering methodologies to enhance adaptive learning systems by leveraging students’ learning styles. Using the ”Students’ Learn- ing Styles Dataset” from the UCI Machine Learning Repository, I employed K-means clustering to stratify students into clusters characterized by distinct engagement metrics, study habits, and demographic factors. These clusters were subsequently analyzed to develop personalized learning pathways, optimized to enhance educational outcomes. The findings reveal that students in high- engagement clusters demonstrate significantly improved perfor- mance when offered customized content. This study underscores the transformative potential of adaptive learning systems in refin- ing educational experiences by accommodating diverse learning styles.
How Trucking Drives the Supply Chain the Backbone of North American Logistics
Authors: - Bhavya Vashisht
Published: January 2025

Trucking serves as a crucial component in North American logistics, acting as the backbone of the supply chain. This paper explores the pivotal role that trucking plays in the seamless transportation of goods across various sectors, from raw materials to final consumer products. The research highlights trucking’s contributions to supply chain efficiency, covering aspects like infrastructure, regulatory compliance, and driver workforce challenges. Additionally, it identifies challenges such as sustainability, cost pressures, and technological integration. This study underscores how trucking drives economic growth and enhances logistical operations, making it indispensable for supply chain dynamics.
Assessing the Compliance Landscape for FinTech Companies
Authors: - Haritha Madhava Reddy
Published: January 2025

The financial technology (fintech) sector has experienced unprecedented growth, with the global market projected to reach $1.5 trillion by 2030, driven by a compound annual growth rate (CAGR) of 19.8% in digital finance. This rapid expansion has fundamentally transformed traditional financial services, shifting the industry landscape towards digital solutions such as mobile payments and online lending. However, this growth has also created significant compliance challenges as regulators seek to address the risks associated with this digital finance revolution. This paper explores the evolving regulatory landscape for fintech companies, focusing on key compliance areas such as Anti-Money Laundering (AML) and Know Your Customer (KYC) regulations, data protection, cybersecurity, and consumer protection. Additionally, it examines emerging regulatory challenges within sectors like cryptocurrency, peer-to-peer lending, and roboadvisors. Through an analysis of these regulatory frameworks and compliance requirements, this paper aims to provide insights into how companies can navigate complex regulatory environments while fostering innovation. The study highlights the importance of adopting best practices and forward-thinking strategies, including leveraging regulatory technology (RegTech), to maintain compliance and ensure sustainable growth in this rapidly changing industry.
Influence of Early-Life Gut Microbiome on the Risk of Pediatric Infectious Diseases
Authors: - Dr. Bushra Sumra , - Ali Sukeina Hussein
Published: January 2025

The gut microbiome is a complex and dynamic ecosystem of microorganisms that plays a critical role in maintaining human health. Emerging research has highlighted its importance in early life, particularly during the first 1,000 days, as it is intricately involved in the development of the immune system and protection against infectious diseases. The gut microbiome in infancy is shaped by factors such as mode of delivery, diet, antibiotic exposure, and environmental interactions.
The Critical Role of A/B Testing in Digital Campaign Optimization and Performance Enhancement
Authors: - Faiz Mohiuddin Mulla
Published: January 2025

A/B testing, or split testing, is one of the most basic tools in digital marketing and allows businesses to experiment with two different versions of a campaign and use numerical data to determine success. A/B testing compares different versions of digital components, including web designs, copy, and call-to-action(s), to determine the combinations that produce the most interaction and drive more conversions. This two-part paper seeks to investigate the importance of A/B testing in digital marketing, including how it works, its uses in practical terms, the ethics associated with its use, and future trends. The study found that A/B testing is the most significant driver of changing digital performance. It documents improvements and encourages marketers to continue adjusting their programs based on empirical data through a review of literature, case studies, and interviews. Given the increasing multi-facetedness of the digital ecosystem, A/B testing is a robust approach since it allows for continuous optimization over time and evolving consumer behavior and regulatory shifts.
Orchestrating Data Pipelines on AWS: Leveraging Step Functions and SageMaker
Authors: - Syed Ziaurrahman Ashraf
Published: January 2025

In this paper, we explore the orchestration of data pipelines on Amazon Web Services (AWS) using AWS Step Functions and Amazon SageMaker. These two services provide a powerful combination to streamline, automate, and scale complex workflows that involve data ingestion, transformation, model training, and inference for machine learning. This paper delves into the architecture, components, and best practices for leveraging AWS Step Functions and SageMaker to build efficient data pipelines. By using a serverless approach, organizations can minimize infrastructure overhead, scale easily, and focus on extracting value from their data. Visualizations such as diagrams and pseudocode are provided to guide developers in implementing their solutions. By combining these two, we can create end-to-end pipelines that handle everything from raw data ingestion, model training, and deployment to real-time inference. We provide detailed architecture diagrams, flowcharts, pseudocode, and example scripts to simplify implementation. The goal is to help data engineers and machine learning developers build scalable, automated pipelines on the cloud without managing servers.
Establishing Data Quality Metrics: Framework For Manufacturing Applications
Authors: - Srujana Manigonda
Published: January 2025

In the manufacturing sector, data-driven decision-making is pivotal to optimizing production processes, reducing operational costs, and improving product quality. However, the effectiveness of these decisions is highly dependent on the quality of the data being utilized. This white paper presents a structured framework for establishing data quality metrics tailored to manufacturing applications. The framework emphasizes key data quality dimensions, accuracy, completeness, consistency, timeliness, and relevance, and explores their significance in critical manufacturing systems such as supply chain management, production monitoring, and predictive maintenance.
Data Content Considerations for Identifying Security Measures
Authors: - Anand Athavale
Published: January 2025

This article covers data content considerations for identifying security measures to employ. Effective Data security measures help reduce probability and impact of a cyber or a compliance breach. In the real world, many of these concepts may be known, but those are often scattered among different IT practitioners. This article elaborates on data content considerations. If you compare data security to physical security, you can draw analogies very easily. For instance, the highest level of leaders and officials have more security. Lower-level staff and officials with less critical roles have less security. This tells us that what you are protecting itself has a lot of influence on what would be required to establish security measures. Data Content gives that “what is it that you are protecting” in essence. However, this article will also try and clearly differentiate data security from data privacy and other compliance and regulatory aspects, even though there is a good amount of overlap. In a way, this article will also help segregate the responsibilities of the data security team from the data compliance and privacy teams at the process and concepts level, while illustrating various aspects of data content.
The Role of Product Management in Mergers & Acquisitions (M&A)
Authors: - Darshak Sanghavi
Published: January 2025

Mergers & Acquisitions (M&A) are essential strategies for growth, market consolidation, and technology acquisition. While much of the focus in M&A deals is on financial and operational integration, the role of product management (PM) is pivotal to the overall success of these transactions. Product managers (PMs) are essential in aligning product strategies, ensuring smooth integration, and avoiding product fragmentation that could disrupt customer value. This whitepaper explores the role of PMs during the M&A process, covering pre-acquisition product strategy assessments, post-merger integration challenges, and the creation of a unified product roadmap. Key themes discussed include strategy alignment, cultural integration, and overcoming challenges to ensure the continued growth and success of the merged product portfolio.
Risks and Pitfalls in Using AI for Predictive Market Insights and Strategies for Mitigation
Authors: - Prabhavathi Matta
Published: January 2025

Artificial intelligence (AI) is revolutionizing predictive market insights by processing vast datasets and uncovering actionable trends. However, deploying AI for predictive analytics comes with significant risks and challenges, including data biases, lack of transparency, model overfitting, ethical concerns, and dynamic market conditions. This paper explores these risks in depth, discusses their implications, and presents detailed strategies to mitigate them. It also provides practical examples of how organizations can address these challenges to ensure reliable, ethical, and effective AI deployment.
Dockerization of IBM DataPower Gateway in Banking: Trade-off Analysis
Authors: - Gomathi Shirdi Botla
Published: January 2025

The banking industry’s digital transformation requires agile, secure, and scalable middleware solutions to handle dynamic workloads and combat evolving cyber threats. Dockerization, the process of containerizing applications using Docker, addresses these challenges by enhancing flexibility, resource optimization, and deployment speed. This paper explores how Dockerization has transformed IBM DataPower Gateway deployments in banking, analyzing scenarios where it resolves operational inefficiencies and enhances security. We discuss best practices for Dockerization, the advantages it offers, and its broader impact on financial institutions.
Fine-Grained Access Control with Spring Security
Authors: - Prathyusha Kosuru
Published: January 2025

Spring Security has been studied up to December 2020 for various levels of access control, especially focusing on the precise and contextual ABAC and RBAC models. When used in combination with OAuth2 and JWT, it was possible to implement dynamic distributed security measures via policy-based solutions. These configurations served us well and offer the elasticity necessary in today’s microservices and multi-tenancy applications, with Spring Security offering a solid foundation for policy-based security of APIs and data assets (Di Vimercati et al., 2010).
The Impact of Real User Monitoring (RUM) on Digital Transformation in the Utilities industry
Authors: - Lakshmi Narasimha Rohith Samudrala
Published: January 2025

The utilities industry is undergoing major digital transformation. Digital platforms such as web applications and mobile applications are increasingly used to serve customers with important functionalities such as customer portals, outage management systems, customer support, etc. With heavy adoption of digital platforms, real user monitoring (RUM), is important to understand how users interact with the applications. This paper explores the key challenges faced by the utilities industries, such as reliability and performance during peak/ storm conditions, user adoption of new functionalities, and improving the user experience across various touch points. This paper also explores integration of real user monitoring with observability tools which provide comprehensive health overview of the application
Blockchain in Day-to-Day Life: Transformative Applications and Implementation
Authors: - Bhanuprakash Madupati
Published: January 2025

Blockchain technology is a disruptive force in many industries, introducing transparency and security while improving the efficiency of daily processes. This paper discusses blockchain applications in logistics and supply chain, healthcare data management, IoT (Internet of Things), identity verification, government, etc.; for instance, blockchain's decentralised and immutable characteristics provide a solution to some of the most challenging concerns, including data privacy, fraud prevention, and operational inefficiency. The paper further discusses the fusion of blockchain with upcoming fields like artificial intelligence (AI) and IoT, which play more crucial roles in daily life. By deploying blockchain, businesses can optimise their processes without intermediaries and ensure that the data is safe and sound to bolster trust across digital chains. The research helps identify what blockchain is doing now and how the industry may touch all corners of modern life moving forward.
Advanced Cloud-Native Development and Deployment Models
Authors: - Prathyusha Kosuru
Published: January 2025

This paper talks about the ideas, main tools, and best practices behind cloud-native development. It also talks about how it can help improve flexibility, cut down on time to market, and make operations more efficient. It also talks about the problems that companies have when they try to use cloud-native strategies, like how to handle complexity, keep data safe, and stay in compliance in a spread setting (Ghofrani & Lübke, 2018).
Data Exposure Considerations for Data Users in Identifying Security Measures
Authors: - Anand Athavale
Published: January 2025

Data exposure plays a vital role in identifying security measures for Information Security. If data is considered to live in a house, data exposure methods are the windows and doors which need to be blocked with only select persons having access to those. This article elaborates on data exposure considerations. Due to significant evolution in data management, considering data exposure only from direct data users’ aspect is no longer enough. Hence, data exposure considerations need to be broken down into direct data users and indirect ones. In this article we will only discuss direct data user exposure. This typically also comes very close to data access control. As discussed in the data content consideration paper, direct data user exposure consideration also has dependency on data content consideration. Lastly, the identity management features also come into play for data exposure control considerations.
Automated Migration from Legacy to Modern BI
Authors: - Ghouse Baba Shaik
Published: January 2025

The transition from legacy Business Intelligence (BI) systems to modern BI solutions is a pressing challenge for organizations striving to harness data-driven insights effectively. This paper presents a case study detailing the automated migration of BI solutions from legacy platforms, such as SAP BusinessObjects (BO) and Cognos, to contemporary architectures utilizing cloud-based services and advanced analytics tools. Through this migration, organizations can enhance data accessibility, improve analytical capabilities, and reduce operational costs. The findings demonstrate that automated migration not only accelerates the transition process but also minimizes disruptions, allowing for a smoother change management experience.
Accessible Content Management Systems (CMS)
Authors: - Anand Sarangam
Published: January 2025

This study assesses the accessibility barriers in widely used Content Management Systems like Drupal and WordPress and discusses how to make these more accessible to people with disabilities. Since most of the CMS platforms do not have any in-built accessibility features, people with auditory, visual, cognitive or motor impairments are unable to access digital content. It aims to be able to offer support in terms of recommending improvements to the CMS system to raise accessibility while ensuring user inclusiveness as well as legal compliance.
Challenges in Health Insurance Portability and Accountability Act Compliance
Authors: - Haritha Madhava Reddy
Published: January 2025

The Health Insurance Portability and Accountability Act (HIPAA) is a pivotal regulation in healthcare, designed to safeguard patient data and ensure the confidentiality, integrity, and availability of protected health information (PHI). In an increasingly digital world, the complexities of HIPAA compliance are growing, especially with the expansion of telemedicine, electronic health records (EHRs), and cloud-based healthcare systems. This paper delves into the challenges associated with HIPAA compliance, including data security risks, telemedicine, and the role of encryption in safeguarding patient data. It also examines solutions, the impact of non-compliance, and the future scope of HIPAA in a rapidly evolving healthcare landscape.
Handling Data Transition Latency Between Different Geographical Locations in Cross-Border Banking Transactions
Authors: - Gomathi Shirdi Botla
Published: January 2025

The globalization of banking has led to an increase in cross-border financial transactions. However, latency in processing these transactions poses significant challenges due to the physical distance between data centers located across the globe. This latency impacts transaction speed, customer satisfaction, and regulatory compliance. This paper explores the root causes of data transition latency in cross-border banking transactions, highlights current solutions, and proposes innovative approaches to minimize latency. It emphasizes the importance of leveraging edge computing, optimized routing algorithms, and distributed ledger technologies to enhance transaction processing efficiency while maintaining security and compliance standards.