bluuebunny/crossref_metadata_2025 huggingface dataset:
Integrating Sustainable Practices in the Global Apparel Supply Chain for Environmental and Social Impact
Authors: - Kosalee Thameera Galkaduwa
Published: January 2025

The challenges affecting the global apparel business include emissions of greenhouse gases, textile waste management, and unexcepted standards of labour. This paper looks at how adopting certain key concepts in sustainability like ethical sourcing, circular economy and carbon management can reduce such effects. The research critically assesses and evaluates the effectiveness of concepts such as the Triple Bottom Line, and Sustainable Supply Chain Management by considering best practices from, for instance, Patagonia and Adidas and has also considered system-level factors such as the lack of progressive legislation and high costs. Research findings show that circular production systems, engaging with stakeholders, and a comprehensible supply chain are strategic for sustainability. There has been some progress towards resolving the issues of worker exploitation but several problems remain when it comes to confronting demand from consumers for fast fashion. This paper adds to the knowledge pool by offering strategies that can be replicated on a large scale for global implementation and reiterates the call for international cooperation in addressing challenges in the apparel industry.
Standardizing Material Master Data for Enhanced Supply Chain Efficiency and Accuracy
Authors: - Kosalee Thameera Galkaduwa
Published: January 2025

This study focuses on analysing the consequences of work on the standardization of Material Master Data (MMD) as a source for supply-chain-related events. This study focuses on the aspects of data duplication, data inconsistencies, and poor data governance that would help understand the advantages of implementing international standards like ISO 8000 and a centralised MMD framework. Research shows that cost savings, organizational performance increases and better decision making is observed. Furthermore, MMD standardized for all products have been reported to shave off one-fourth of the procurement costs, have enhanced the forecast accuracy by 20%, and slashed stockouts by 15%. The work also acknowledges and defines barriers like resistance to change and provides solutions on how to achieve implementation. Supply chain management is an area of research that is crucial for organizations, and this study advances knowledge in this field and aligns with the move toward Industry 4.0 practices.
Building Resilient Systems - Strategies for High Availability and Disaster Recovery
Authors: - Gayathri Mantha
Published: January 2025

In today's fast-paced and interconnected world, businesses are progressively subordinate on innovation to function viably. Framework disappointments, whether due to equipment glitches, program issues, or outside dangers, can lead to critical disturbances, influencing not as it were operational effectiveness but moreover client believe and income. This white paper gives a comprehensive direct to building strong frameworks through methodologies for tall accessibility (HA) and disaster recuperation (DR). We'll investigate key standards, techniques, and best practices to guarantee that frameworks stay operational and recoup quickly within the confront of disturbances.
Exploring the Role of Mirror Therapy in Neurological Rehabilitation: Enhancing Motor Recovery in Parkinson’s Disease and Post-Stroke Patients
Authors: - Laljibhai Makwana
Published: January 2025

Technology is a very powerful tool and can help patients a great deal in neurological rehabilitation, especially in cases of Parkinson's disease and after a stroke. The awareness method developed in this technique aims to trick the brain into thinking the nonfunctional limb is functioning by reflecting the desired voluntary motion of the impaired limb to the brain through videos. The therapy helps by using mirror neurons which facilitate motor and movement learning as well as recovery. In PD patients, the use of mirror therapy appeared to have benefits in decreasing various motor problems including tremors, rigidity, and akinesia and in increasing overall motor flow and smoothness. In the same context, post-stroke rehabilitation assists in the management of the motor function, flexibility and functional use of the affected extremities. Clinically relevant and easily integrated into existing rehabilitation protocols because it is noninvasive and inexpensive, it can be done either in clinical or home environments. Studies have shown that by integrating mirror therapy, results improve incrementally with improved mobility and independence together with better quality of life over conventional physical therapy. The present paper discusses the theoretical background of mirror therapy, its use in Parkinson's disease and post-stroke rehabilitation, and its impact on motor recovery. Despite the relative rise in popularity of mirror therapy, the present study intends to provide it as a key complementary intervention in neurological rehabilitation by presenting the available evidence of its effectiveness.
Streamlining Medical Inventory Management with Salesforce CRM
Authors: - Satwik Mamidi
Published: January 2025

It is significantly important to maintain a well-equipped and efficient supply chain system as well as inventory administration for patients in the healthcare sector worldwide. The present discussion has identified several key characteristics of the solution which is the integration of Salesforce CRM with Inventory System of the healthcare companies and it also has explored how the implementation becomes more important factor in the case of enhancing operational efficiency.
This solution has made users to eliminate several risks associated with supply chain and inventory of medical supplies and also handle supplier relationships among each other. This study has additionally highlighted the way Salesforce CRM brings accuracy and transparency in keeping and monitoring important healthcare items to avoid shortage of medical supplies and other significant healthcare commodities.
Cyber Security Governance
Authors: - Mohammed Mustafa Khan
Published: January 2025

The massive coordinated cyber-attack that struck Estonia in April 2007 and lasted for many days is a remarkable incident that explains the significance of cyber security governance for any institution that has embraced the digital world economy. No institutions would want such attacks to disrupt and dominate their operations since it has devastating effects. The cyber threat landscape is ever-evolving in that new tricks of attacks are being launched daily. It takes an institution to develop a comprehensive cybersecurity governance to keep pace with emerging trends. Institutions that have failed to deploy cyber security governance succumb to different types of cyber threats. The one non-negotiable aspect that institutions must not ignore to employ is cyber security governance. Cyber security governance helps organizations to minimize cyber security breach incidences. This research paper explores the importance of implementing effective cybersecurity governance strategies, emphasizing the need for alignment between cybersecurity policies and overall business objectives.
From Clicks to Conversions: The Vital Role of Telemetry and Instrumentation in Digital Success
Authors: - Vinay Kumar Yaragani
Published: January 2025

In today's competitive digital landscape, organizations must leverage data to understand user behavior and optimize conversion rates on their websites and applications. This paper explores the critical role of telemetry and instrumentation in capturing user interactions, enabling businesses to make informed, data-driven decisions. We identify essential events to track, such as page views, clicks, and form submissions, and outline a structured approach for event data collection. By detailing the process of capturing, processing, and analyzing clickstream data, we demonstrate how effective telemetry can reveal valuable insights into user journeys, enhance user experience, and drive conversion rates. Ultimately, this paper emphasizes the necessity of robust data collection strategies for organizations seeking to thrive in an increasingly data-centric environment.
Digital Gaming and Accessibility
Authors: - Anand Sarangam
Published: January 2025

This study focuses on accessibility changes in the video game industry, specifically new developments including adaptive controllers, audio descriptions, and principles in game design that are all-inclusive for people with impairments. The innovations are shown to have major impacts on enhancing the enjoyment of games by players who have different needs, thus introducing a more inclusive environment. The paper also points out the dynamics concerning the issues in the present day, along with the involvement of industry players in outlining the importance of reaching out to all gamers.
SQL Meets JSON - Leveraging Relational Data Formats
Authors: - AzraJabeen Mohamed Ali
Published: January 2025

The paper "SQL Meets JSON - Leveraging Relational Data Formats" explores the convergence of SQL and JSON, focusing on how modern relational database management systems (RDBMS) have evolved to support JSON data types, functions, and queries. In the era of data-driven applications, integrating
structured relational databases with the flexibility of semi-structured data formats like JSON has become increasingly important. Traditional relational databases, designed to handle structured data in predefined schemas, are now tasked with managing dynamic, hierarchical, and evolving data, often stored in JSON
format. This paper examines how RDBMS platforms such as SQL Server handles JSON data, providing tools to store, query, and manipulate JSON alongside relational data. It discusses the advantages of this integration, including flexibility in schema design, enhanced querying capabilities, and the ability to manage both structured and semi-structured data in a unified platform. The paper also highlights key techniques for leveraging JSON in SQL environments, such as using JSON functions, indexing strategies, and real-world applications where combining the two formats offers tangible benefits. The discussion concludes with insights into the future of SQL and JSON integration, emphasizing the role of hybrid data models in addressing the growing demands for scalability, flexibility, and performance in data management.
Evaluating Apache Spark and Apache Flink for Modern Data Streaming Solutions
Authors: - Varun Garg
Published: January 2025

Real-time data processing enables swift decisions based on continuous data streams and immediate insights from various data sources, modern data architectures now rely mostly on it. The paper reviews two of the most widely known distributed systems for real-time analytics: Apache Spark and Apache Flink, along with their unique challenges and solutions. This study, through extended comparison analysis, underlines the performance of each framework, use case feasibility, scalability, and state management capability. Apache Flink's real streaming design and strong stateful processing capability show to be helpful for low-latency continuous data streaming. It is thus ideal for use cases calling for considerable dependability and accuracy. Supported by a complete ecosystem that readily links with tools for machine learning and large data, Apache Spark's structured streaming offers considerable batch and micro-batch processing capabilities. The discussion includes increasing trends in machine learning integration, edge computing, and multi-cloud installations, apart from future research possibilities that can enhance real-time data processing systems. This paper discusses how to choose the appropriate framework for their demands concerning scalability, data processing, and strategic goals for future scaling.
AI for Epidemiology: Using AI to Predict and Track the Spread of Diseases like COVID-19
Authors: - Gaurav Kashyap
Published: January 2025

The global pandemic of COVID-19 has underscored the urgent need for advanced technologies to predict, track, and control the spread of infectious diseases. Artificial Intelligence (AI), with its ability to analyze vast amounts of data quickly and with high precision, has emerged as a powerful tool in the field of epidemiology. AI models, including machine learning (ML) and deep learning (DL), are being utilized to predict disease outbreaks, track transmission patterns, and optimize responses in real-time. This paper reviews the role of AI in epidemiology, focusing on its application in COVID-19 prediction, surveillance,
and control. We also discuss the challenges of AI adoption in public health and propose future directions for AI in epidemiology.
Innovative Beverage Pairings Beyond Wine: Sake, Beer and Beyond
Authors: - Alok Satish Chaughule
Published: January 2025

For many years, wine has dominated the realm of food pairings, celebrated for its ability to elevate, and complement a vast array of flavors. However, in recent years, an exciting shift is underway. Beverages like sake, craft beer, ciders, and even creative non-alcoholic options are stepping into the spotlight as versatile, flavorful pairings with food. This shift is changing the landscape of dining, offering fresh possibilities for chefs, sommeliers, and enthusiasts eager to explore the boundaries of pairing beyond wine.
This article dives into how beverages beyond wine are gaining popularity in pairing menus, exploring the art of matching dishes with sake, craft beers, ciders, and even teas, coffees, and mocktails. Through an understanding of flavor profiles, preparation techniques, and the global rise in demand for unique beverage experiences, we uncover how these pairings work and why they matter to the modern diner.
Quality Data Management (QDM) Best Practices for Preserving Data Integrity
Authors: - Rameshbabu Lakshmanasamy
Published: January 2025

Today in data-driven retail landscape, maintaining high-quality data is not optional but a mandatory practice that is the top priority. Data Integrity is crucial for making informed decisions, customer experience improvement, staying ahead of competition. This article outlines the best practices for quality data management in the IT organization, especially based on our real-time experiences from retail realm. Being given the responsibility of data quality of data marts and data warehouse, here am trying to capture the practices that we implemented and that helped us mitigate the risks and prevent any dangers of corrupt data. Let’s dive into and explore what helped us in our journey of preserving quality data.
Maximizing Cyber Security Through Threat Hunting for Advanced Threat Detection and Mitigation
Authors: - Mohammed Mustafa Khan
Published: January 2025

Threat hunting is the future of proactive cyber defense. It has emerged as the fundamental solution to counter sophisticated attacks. Threat hunting is not a relatively new technology. It existed in the past when security analysts utilized manual processes to examine various data to create hypotheses pertaining to possible threats using vulnerability know-how and experience to hunt threats. The advancement of threats has forced the security operational center teams to automate their hunting tools and models and to adopt the best practices to detect and mitigate advanced threats. Machine learning and artificial intelligence technologies are infused to make threat hunting more efficient and effective. To have a common ground for understanding threat hunting, a basic definition is needed. Threat hunting is the prescient effort of identifying signals of malicious activity in the IT infrastructure that have evaded underlying security controls. Threat hunting relies on the formulation of an objective-driven hypothesis and is an iterative process. Organizations strive to protect their assets and reduce possible damages. This research paper discusses threat hunting as one of the promising technologies that can help organizations proactively secure their IT infrastructure.
Test Case Management in Agile Software Development Using Jira
Authors: - Asha Rani Rajendran Nair Chandrika
Published: January 2025

Managing test cases effectively is crucial in Agile software development to ensure continuous quality assurance and successful product releases. Jira, a popular tool for issue and project tracking, provides numerous ways to handle test case management, from native configurations to third-party integrations. With its customizable workflows, issue types, and reporting tools, Jira enables QA teams to collaborate efficiently with developers. This article explores the various approaches to managing test cases in Jira, covering everything from manual workflows to automated integration using plugins like Zephyr and Xray. The goal is to empower testers with a comprehensive understanding of test management in Jira, enabling them to optimize their workflows and improve overall product quality.
Techniques for Effective Data Management in Microservices
Authors: - Anju Bhole
Published: January 2025

Microservices architecture is being used widely which has changed the way of developing applications with better scalability, fault isolation, and technology stacks flexibility. These advantages allow for rapid innovation and deployment, but they also present significant challenges, particularly when it comes to managing data across many, distributed services. This paper mainly covers different data management approaches that are fundamental to ensuring data consistency, integrity, and accessibility in a microservices environment. The role of maintaining latency and improving performance through common patterns such as database per service, eventual consistency, event driven architecture and service mesh are also discussed. Discusses emerging trends in data virtualization and serverless computing that can further simplify data design and management. Another focus of the paper is on implementing approaches that help to eliminate repetition of the same data, facilitate communication between services, and guarantee the availability of the same data in a microservices ecosystem. By presenting a thorough analysis of existing practices, the study seeks to offer valuable insights and recommendations for organizations looking to improve their data management strategies in microservice-based architectures.
Implementing Low-Latency Data Streaming from SQL Server to BigQuery: A Kafka-Based Approach in Google Cloud Platform
Authors: - Sainath Muvva
Published: January 2025

This research paper presents an innovative approach to achieving near-real-time data synchronization between on-premise SQL Server databases and Google BigQuery, meeting the increasing need for timely analytics in contemporary data architectures. The proposed solution utilizes Apache Kafka as the central messaging system and Debezium as the Change Data Capture (CDC) connector, enabling low-latency data streaming with high scalability and resilience. Our architecture efficiently captures, processes, and transforms data before ingesting it into BigQuery, with updates reflected within an hour. The paper delves into the nuances of system design, implementation strategies, and optimization techniques, addressing challenges such as schema evolution, data consistency, and error handling. Through rigorous performance analysis and scalability testing, we demonstrate the efficacy of this Kafka-based approach in handling high-volume transactional data streams while leveraging BigQuery's powerful analytics capabilities. Additionally, the paper provides a detailed rationale for choosing Debezium as the CDC connector and Apache Kafka over alternatives like Google Cloud Pub/Sub, exploring the trade-offs and benefits of these technological choices. This comprehensive solution offers organizations a robust and cost-effective method to bridge on-premise databases with cloud platforms, facilitating advanced real-time analytics and data-driven decision-making in the cloud era.
Safeguarding Sensitive Information: A Comprehensive Approach to PII Anonymization and Data Masking
Authors: - Varun Garg
Published: January 2025

In a modern-day digital data platform, in this age of handling extensive information, including PII by organizations, data security becomes a most critical dimension in ensuring that the PII is protected from malicious breaches and the loss of this data. Data confidentiality, integrity, and availability of data are
ensured through different methods to protect privacy while being compliant with regulations like GDPR and CCPA globally. This paper applies anonymization of PII and data masking in exploring an integrated approach to the protection of private data. The paper considers the tools and technology at hand, examines
the main obstacles in using these strategies, and discusses the suggested way of applying adequate data security rules. This paper also underlines new topics that in the future will have an impact on the security of PII, while zero-trust systems, edge computing, and artificial intelligence will also emerge. In general,
this paper puts down the building blocks of an organization that, by protecting private data and ensuring regulatory compliance, will be sound both from technical and operational standpoints.
The Role of Electronic Prior Authorization Platforms in Streamlining Medication Access and Improving Patient Outcome
Authors: - Adinarayana Andy
Published: January 2025

The growing intricacy of healthcare has rendered prior authorization a pivotal concern for healthcare providers, insurers, politicians, and patients. Initially intended to verify the medical necessity of services and regulate expenses, the prior authorization process has transformed into a considerable administrative
encumbrance, especially in drug management. This study looks at how Electronic Prior Authorization (ePA) systems can improve the prior authorization process, making it easier for people to get medicines and improving patient outcomes. By connecting electronic prior authorization (ePA) systems to electronic health records (EHRs), healthcare professionals can speed up the processing of prior authorizations, cutting down on the delays and wasted time that come with using the old way of doing things. This document looks at the expected progress in electronic Prior Authorization (ePA), which includes better
data security, more interoperability, and a design approach that puts the user first. Moreover, it underscores the significance of legislative frameworks in facilitating the deployment of ePA technologies. This research highlights the capacity of ePA systems to reduce the administrative load on healthcare providers, enhance patient care coordination, and guarantee prompt access to essential medications, thus fostering improved health outcomes and economic sustainability in healthcare delivery.
Trends in Semiconductor Design Verification for AI and Machine Learning Applications
Authors: - Niranjana Gurushankar
Published: January 2025

The rapid evolution of Artificial Intelligence (AI) and Machine Learning (ML) is driving a surge in complex semiconductor designs. These designs, crucial for applications ranging from autonomous vehicles to personalized medicine, demand rigorous verification to ensure functionality and reliability. This paper explores the latest trends in semiconductor design verification for AI/ML applications, addressing the unique challenges posed by these computationally intensive and data-driven systems. We examine the shift towards formal verification techniques, the increasing use of hardware acceleration for simulation, and the growing importance of security verification in AI/ML chips. Further, we analyze the role of emerging methodologies like emulation and prototyping in validating AI/ML hardware. By delving into these trends, we aim to provide insights into the evolving landscape of semiconductor design verification and its crucial role in enabling the next generation of AI/ML innovations.
Consumer Adoption of Autonomous Vehicles: How Product Managers Can Overcome Market Resistance
Authors: - Darshak Sanghavi
Published: January 2025

The consumer adoption of autonomous vehicles (AVs) has faced significant hurdles, with psychological and social factors playing a crucial role in market resistance. Despite advancements in AV technology, widespread acceptance is hampered by consumer fears, misconceptions, and a lack of trust in the technology. This whitepaper analyzes these psychological and social barriers and provides actionable strategies for product managers to overcome them. By addressing issues related to trust, misconceptions, and market education, product managers can help facilitate smoother consumer adoption. We will explore consumer behavior, communication strategies, the role of AV trials, and effective marketing techniques to mitigate concerns and enhance public perception.
Implementing Integrated Access Management for Financial Systems Using IBM DataPower
Authors: - Gomathi Shirdi Botla
Published: January 2025

In the era of digital transformation, securing access to financial systems is paramount for preventing unauthorized access and maintaining data integrity. Integrated Access Management (IAM) solutions offer robust mechanisms for authentication, authorization, and user activity monitoring. IBM DataPower, as a middleware platform, provides a comprehensive toolset to implement IAM effectively. This paper discusses a real-world banking scenario where IBM DataPower is utilized to centralize and secure access control for a multinational bank’s online banking platform, addressing the challenges of scalability, interoperability, and compliance.
Leveraging IoT and Big Data Analytics for Enhanced Operational Efficiency
Authors: - Bhavya Vashisht
Published: January 2025

The USA trucking industry serves as the backbone of the nation’s supply chain, yet it faces persistent challenges in fleet management, including inefficiencies, rising operational costs, and evolving regulatory requirements. This paper explores the integration of Internet of Things (IoT) technology and Big Data
analytics as transformative tools to address these challenges. IoT-enabled devices, such as GPS and telematics systems, facilitate real-time monitoring of vehicles and assets, while Big Data analytics leverages the vast amounts of data generated for actionable insights. Together, these technologies offer
unprecedented opportunities for route optimization, predictive maintenance, and driver safety, resulting in enhanced operational efficiency and cost savings. This paper also examines the benefits, challenges, and future prospects of these innovations, providing a roadmap for the USA trucking industry to adopt smarter
fleet management solutions.
The Future of Underwater Robotics: Trends and Technologies in ROV Design and Application
Authors: - Priyanka Das
Published: January 2025

This paper focuses on analyzing the existing technological advancement and the potential direction of development of ROVs within underwater environments. The paper examines the upcoming developments in the creation of the ROV and the innovations in the construction of the device that have been pioneered
in the market, such as the incorporation of complex sensing systems, the improvements in the power mechanisms of the device, the evolution of the communication systems of the ROV and the developments in the power management systems of the device. Furthermore, modular concepts have transformed the customization of ROVs and broadened their uses, ranging from offshore oil and gas to marine science. The paper also looks at future advancements in 1ncludingg the possibility of the system operating
autonomously, biomimicry, and enhanced monitoring of the environment. Particular emphasis is placed on the new roles in sea mining, wind and wave energy, and marine protection. It is predicted that with the reduction in technology costs and simplification of the operation of ROVs, their use will increase in citizen science and education programs.
Crafting Effective Test Cases: Best Practices for Robust Quality Assurance
Authors: - Asha Rani Rajendran Nair Chandrika
Published: January 2025

In software testing, the foundation of a strong testing strategy is effective test case design. Test cases determine whether the system is functioning according to requirements and user expectations, making their quality crucial to the success of software development. A well-crafted test case helps reduce the risk of defects, improves test coverage, and ensures that critical functionalities are rigorously verified. This article explores essential best practices in test case design, highlighting various techniques like boundary value analysis, equivalence partitioning, and exploratory testing. It discusses the importance of clear, concise language and links test cases to specific functional requirements, ensuring full traceability. Additionally, the article covers the benefits of prioritizing test cases based on risk, employing both positive and negative testing, and addressing edge cases for a comprehensive testing strategy. By implementing these best practices, quality assurance (QA) teams can ensure thorough testing and higher-quality software products.
The Impact of Automation on Cycle Time Reduction: Insights from PLC Programming in Manufacturing
Authors: - Priyanka Das
Published: January 2025

The application of PLC, an advanced digital controller, has dramatically shifted the manufacturing process by incorporating high levels of industrial automation. This paper examines new highly valued skills in computer programming for improving cycle time and enhancing automated manufacturing systems. It
provides examples of how complex programming enhances production effectiveness by examining interrupt-based applications, memory management systems such as Hermes, and parallel processing features of a PLC. This study also focuses on expanding automation using PLC in significant manufacturing processes such as material handling systems, assembly line operations, and packaging facilities. Other innovations include enhanced guided vehicles, simultaneous operation of multiple stations, and integrated motion control for high-speed packaging. The study shows that high precision, increased speed, and manufacturing quality control are made possible when using the technology in many manufacturing applications while minimizing human interference and operation costs. The paper will immensely benefit manufacturing practitioners needing practical and proven guidelines on improving productivity and minimizing cycle time through PLC technology within industries.
A Comprehensive Analysis on Accessibility Refinements for People with Disabilities Based on US and European AI Acts
Authors: - Anand Sarangam
Published: January 2025

This paper evaluates how accessibility changes have been incorporated in the legal frameworks governing AI in the USA and Europe by considering the legal frameworks for persons with disabilities. Although the Executive Order of the USA and the European AI Act promote inclusivity, there is a stark contrast in
the models used and the details of their application. The effect of these policies on the accessibility and advancement of AI is depicted through major guidelines, case studies, and quantitative techniques. Still, there are unresolved issues such as inconsistencies in regulatory requirements and technical obstacles.
This evaluation suggests that policymakers and developers need to recognise the role of aligned regulations and innovation in overcoming accessibility barriers in disability-friendly technologies.
Spatial Data Clustering and Pattern Recognition Using Machine Learning
Authors: - Kirti Vasdev
Published: January 2025

Spatial data clustering and pattern recognition are pivotal in analyzing geospatial information for various applications. With the advent of machine learning (ML), the ability to extract meaningful patterns from complex datasets has been significantly enhanced. This paper explores the integration of ML techniques in clustering and recognizing patterns in spatial data. The discussion includes detailed theories, case studies, and applications in fields such as urban planning, environmental monitoring, and disaster management. Advanced clustering methods like DBSCAN and k-means are evaluated, alongside deep learning-based approaches. Case studies highlight real-world applications, showcasing ML’s role in improving decision-making processes. Challenges, future trends, and opportunities in the domain are also discussed. Diagrams and tables are provided to illustrate methods and results.
Data-Driven System to Analyze Potential Constraints on Manufacturing Cycle Time
Authors: - Priyanka Das
Published: January 2025

This paper provides a detailed exploration of five common bottlenecks in manufacturing: machine downtime, material availability, workforce problems, production control variability, and inadequate layout and workflow. Reducing manufacturing cycle time is a strategic goal that can help companies achieve efficiency and become more reliable, less costly, and satisfy their customers’ demands. However, production process congestion or delay points—bottlenecks—present a significant problem to smooth operations. The paper explores each bottleneck's description, root causes, and corresponding data analysis solutions. The report established that analyzing such vital technologies as predictive maintenance, real-time inventory management, human capital management, statistical process control, and simulation modeling demonstrates how some business limitations can be managed by using data-driven techniques. Manufacturers should, therefore, ensure that they diagnose manufacturing cycle times early enough to avoid bottlenecks. The paper further highlighted that early detection and addressing of the bottlenecks increase the cycle times, support maximum productivity, and enable firms to compete effectively. The report acknowledges that using data analytics to redesign efficient and robust manufacturing systems is critical in minimizing manufacturing cycle times.
Cryptography with Different Techniques
Authors: - Kirandeep Kaur
Published: January 2025

Cryptography is a field to solve the problems related to Information Security. There are numerous techniques like substitution and transposition methods to convert the real message into secret code which will be tough for intruder to understand .These techniques change the position or substitute intelligible message characters to produce the ciphertext which is more secure to transfer as compare to plaintext. Columnar Technique is also such technique which
changes the position of plaintext message characters and produces the ciphertext. In this research paper, improved columnar technique is presented which will produce more randomness in the ciphertext generated to make it difficult for cryptanalyst to predict the plaintext from it.
A Clinical Validation of Safety and Effectiveness of Pain Relief and Joint Mobility Tablet
Authors: - Kriti Soni , - Sachin Mulik , - Gayatri Ganu
Published: January 2025

Abstract:
Introduction: Millions of people worldwide are dealing with joint discomfort and issues with mobility, which are mostly caused by diseases like rheumatoid arthritis and osteoarthritis. These illnesses not only hurt physically but also seriously limit mobility, which diminishes activity levels and impairs quality of life.
Materials and Methods: An open-label, single-arm, safety study was conducted on 32 individuals. One tablet of Pain Relief and Joint Mobility twice daily after a meal for 30 days was given. The research objectives were to evaluate changes in compliance, clinical, vital parameter assessment, and tolerability of the investigational product from baseline to the end of the study. Changes in complete blood count (CBC), liver function test(LFT), and renal function test (RFT)parameters on screening and day 30.
Results: The analysis of the vital sign parameters revealed a statistically significant decrease in diastolic blood pressure (p=0.0075) and body temperature (p=0.0133) from the screening to day 30 time points. Hematological and biochemical investigations demonstrated no clinically significant changes from baseline to endpoint, indicating the safety of the intervention. After a 30-day treatment regimen, significant reductions were observed across all Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) subscales: a 32.42%, 34.12%, and 34.76% decrease in pain, stiffness, and physical function scores respectively, indicating substantial alleviation of pain, improvement in stiffness, and enhanced physical function.
Conclusion: The study indicates that the Pain Relief and Joint Mobility Tablet is found to be safe and effective in managing joint pain and mobility issues, proving beneficial for patients ranging from those newly diagnosed to those with chronic conditions.
Transforming Contract Management: A Comprehensive Analysis of AI Integration in Legacy and Ongoing Contracts
Authors: - Niraj Ittan
Published: January 2025

Artificial intelligence (AI) and contract intelligence offer a revolutionary solution for contemporary
contract administration, addressing the unique difficulties presented by both legacy and continuous
contracts. This technical article investigates how automated data extraction, risk assessment, and process
optimization driven by artificial intelligence transform contract management. Usually kept in
conventional repositories, legacy contracts allow the system to retrieve and analyze important data in
mass while including human confirmation for accuracy. By means of real-time AI processing for
instantaneous analysis of third-party documentation, negotiation facilitation, and pre-signature risk
evaluation, continuous contract management reduces the requirement for human review in the processing
pipeline. While addressing implementation concerns, system integration issues, and future advancements
in the field. This article investigates the technological underpinnings of Contract Intelligence—including
Natural Language Processing and Machine Learning algorithms, including By means of thorough
comparative research of heritage and contemporary contract management strategies, this article offers
insightful information for companies trying to modernize their contract management systems while
preserving compliance and operational effectiveness.
The Impact of Early Childhood Education on Cognitive and Social Development
Authors: - Debashis Ghosh
Published: January 2025

Early childhood is a critical period for brain development, during which children acquire essential cognitive, emotional, and social skills. Numerous studies highlight the importance of Early Childhood Education (ECE) in providing a structured environment for learning and interaction. However, many regions still face challenges such as limited access to quality preschool programs and lack of awareness about their benefits. This research aims to bridge the gap by analyzing how ECE programs influence the overall development of children aged 3-6, focusing on cognitive growth, emotional intelligence, and social behavior.
The Role of Play-Based Learning in Enhancing Cognitive and Emotional Development in Early Childhood
Authors: - Uttiya Ghosh
Published: January 2025

This research explores the impact of play-based learning on the cognitive and emotional development of children aged 3-6 years. Through a mixed-method approach, the study examines how various forms of play—free play, guided play, and structured play—contribute to problem-solving, language acquisition, emotional regulation, and social interaction. The findings suggest that play-based learning significantly enhances children's cognitive abilities and emotional well-being, fostering creativity, resilience, and social skills that lay a strong foundation for lifelong learning
Customers’ Perception Towards Green Banking in India-An Empirical Study
Authors: - Kavya B N
Published: January 2025

ABSTRACT
Sustainable development goals and climate change mitigations are now prominent issues to save our planet from unnatural industrial development and human interventions. Corporate reporting and Sustainability issues are discussed worldwide in divergent segments and industries. The urge of Environmental protection has been accepted as one of the burning issues in around the world today, India is not an exception. It is urged to all the business organizations along with financial services to apply eco-friendly “Green” initiatives in their business activities. The banking industry sector can be proactive to support the green banking concept. The term ‘Green Banking’ indicates practices that make banks more economically sustainable, entailing environment, and social dimensions. It aims to make banking transactions highly green and eco-friendly to achieve perpetual sustainability. Global expansion of Indian banking is remarkable, and the Indian banking network is placed as the biggest banking. The paramount banking services are possible with insignificant or minor bearing on the atmosphere and involving the customers in it at every stage. Green banking has encouraged various banks to go for computerized or paper free banking and use technology to reduce impact on the environment. The perception of customers and their satisfaction is another vital factor that must be taken into consideration before investment and the implementation of such green services. This paper focuses on green banking initiatives, environment perspective of green banking. It analyses the factors influencing customers, green banking product’s usages and the merits of green banking practices. The motive of this research paper is intended to study the status of green banking practices in India, and to identify the consumers’ perception towards green banking with an empirical study in Hassan district. And find out what motivates customers to prefer Green Banking services.
Applying Cybersecurity Best Practices in Pharmaceutical IT: A Focus on Data Integrity and Compliance
Authors: - Sreeharsha Amarnath Rongala
Published: January 2025

This comprehensive technical article examines the critical cybersecurity challenges and solutions in the pharmaceutical industry, focusing on data integrity and regulatory compliance. The article explores the evolving landscape of cyber threats targeting pharmaceutical organizations, from research laboratories to manufacturing facilities, and analyzes the implementation of various security controls. The article investigates key areas including regulatory requirements, data integrity controls, access management, network segmentation, encryption protocols, incident response, business continuity, and compliance monitoring. Through analysis of industry-wide implementations and outcomes, the article demonstrates the effectiveness of advanced technological solutions such as artificial intelligence, blockchain, and quantum encryption in maintaining data integrity while ensuring regulatory compliance. The findings highlight the importance of a holistic approach to pharmaceutical cybersecurity that combines technical controls with robust organizational procedures.
Analysis on Market Promotion of Business Development Services in Nepal
Authors: - Rabindra Kumar Neupane , - Bhupindra Jung Basnet
Published: January 2025

Business Development Services (BDS) is an internationally recognized tool for achieving economic prosperity by developing Micro, Small, and Medium Enterprises (MSMEs). The BDS market comprises three major actors representing three major aspects i.e. entrepreneurs representing the demand side aspects, service suppliers representing the supply side aspects, and government and donors representing the facilitation aspects. Most developed and developing nations are promoting BDS for MSME development, income, and employment generation. This article evaluates the promotional efforts of the BDS market in Nepal. It is a case analysis of the approach applied by the Micro-Enterprise Development Program (MEDEP) under the Ministry of Industry for BDS market promotion. Before the MEDEP, standalone training service models were used for enterprise development in Nepal. The impact of such standalone models was criticized for their inefficiencies in many respects. The number and sustainability of the created enterprises by such standalone training models were also questioned. The Ministry of Industry launched project MEDEP in 1998 which designed and applied a holistic approach to business development and named it Micro-Enterprise Development (MED) model. Currently, the MEDEP program has been fully internalized by the Ministry of Industry as Micro-Enterprise Development for Poverty Alleviation (MED-PA). This article has analyzed the efforts of the Ministry to promote all aspects of BDS market in Nepal and concluded that the MEDEP had played a very effective role in this respect. The proven usefulness of the MED model has led to its expansion in 75 districts to being expanded in all 753 Local Bodies of Nepal and contributed for promotion of all aspects of the BDS market. Ultimately, the Ministry of Industry has played a vital role in the introduction, development, and growth of the BDS market in Nepal.
Employability of Real Estate Management Graduates in a University
Authors: - Danny D. Sumagpao , - Generma G. Galleon , - Gerlad L. Orlanda , - Maria Marilyn V. Oncenes , - Maria Paula M. Cueva
Published: January 2025

This study examined BS Real Estate Management graduates' occupational preferences and competency utilization. The findings of the survey serve as the basis for a proposed recommendation. Ninety University (90) graduates with degrees in real estate management participated in the study. The researchers utilized a descriptive research design was employed. The Commission on Higher Education's standard questionnaire, interpreted using straightforward percentages and ranks, served as the study's research instrument. According to the results, the study revealed that job choices are influenced by prestige, career progression, pay, and benefits. Communication, problem-solving, human interactions, and critical thinking abilities are highly regarded. Employee growth initiatives, work-life balance, and the development of transferable skills should be given top priority by employers and academic institutions. It is suggested that soft skills training be included and that industry-specific competency criteria be investigated. The study's findings inform employer initiatives for maximizing talent development and curriculum improvements.
Socio-Economic development of Tribal Women through Education
Authors: - Dr. Ranjana Singh
Published: January 2025

Education is the only medium to empower women with knowledge, self-confidence, and their skills. This is necessary to them, participating fully in the extension process of the society. Education is the opening step to higher productivity, efficiency and for better socio-economic development of an individual especially for women .It is a mean to secure empowerment among the depressed class of the society like women, dalits, tribals, minorities and other. Education of women is envisioned as one of the most powerful weapons in the development of the family, society and nation as well. The present paper is an attempt to look upon the reasons, the background of the barriers for the women to get educated and empowered. Educational development and being empowered is outlying dream for Tribal women. The educational status of Tribal women in India is very low in comparison to their male counterparts and other members of different societies. Development of education among depressed classes especially for tribal women is always been a challenge for the government. Without education of tribes especially women a nation cannot achieve meaningful and comprehensive growth.