bluuebunny/crossref_metadata_2025 huggingface dataset:
A Study of Energy-Efficient Electronic Components for IoT Systems
Authors: - Ronak Italia
Published: January 2025

The rapid proliferation of Internet of Things (IoT) devices has underscored the critical need for energy-efficient solutions to enhance device performance and sustainability. This study explores the design and optimization of low-power IoT components, including circuits, sensors, microcontrollers, and communication protocols, while emphasizing energy harvesting and software-driven energy management strategies. Additionally, it examines various energy-efficient IoT applications, such as smart homes and agriculture, and highlights emerging trends, including AI integration and self-sustaining systems. The research aims to provide a comprehensive framework for the development of sustainable IoT systems, contributing to innovation and addressing global energy challenges.
Cybersecurity Challenges in Robotic Systems for Healthcare: Safeguarding Patient Data and Devices
Authors: - Shashank Pasupuleti
Published: January 2025

The integration of robotic systems in healthcare is revolutionizing medical treatments, improving surgical precision, and enhancing patient care. However, the advancement of robotics in healthcare also introduces new cybersecurity challenges that require attention. Safeguarding patient data and securing medical devices from cyber threats have become paramount as healthcare systems rely on interconnected technologies. This research paper explores the cybersecurity risks posed by robotic systems in healthcare, focusing on the protection of sensitive patient data and the devices themselves. It also delves into the role of the U.S. Food and Drug Administration (FDA) in providing cybersecurity guidance for medical devices and the importance of data governance to maintain confidentiality, integrity, and availability.
The Impact of IoT Integration on Connected Office Devices and Equipment: Transforming the Modern Workplace
Authors: - Ashok Kumar Kalyanam
Published: January 2025

The integration of IoT in devices and equipment revolutionizes office environments to be smarter, efficient, and connected workplace atmospheres. The following article aims to discuss ways IoT technologies presently are affecting office equipment such as printers, routers, coffee vend machines, and many more connected devices with regard to productivity and operational efficiencies. IoT-enabled devices will provide automation of routine tasks, real-time data, and predictive maintenance by embedding sensors and connectivity features. The article discusses the technical backbone of the connected office environment, like sensors, communication protocols, and cloud-based systems that will explain key components of IoT in office equipment. Some examples of connected office equipment are presented, showing their impact on resource optimization, energy efficiency, and employee experience. Despite the list of benefits, challenges have been analyzed in terms of data security, integration complexities, and cost considerations. The high-level technical approach, together with sample charts, will give an idea of implementation regarding IoT in connected office equipment to outline practical approaches toward IoT technology adoption at an organizational level. Hence, the study concludes that integration of IoTs into office environments optimizes operations and redefines dynamics of the workplace to stand up to the demands imposed by the digital era.
Adapting Agile Methodology for Resilient and Efficient Water Network Infrastructure Asset Management
Authors: - Tanay Kulkarni
Published: January 2025

Water network infrastructure asset management (WNAM) ensures essential public works' sustainability, reliability, and efficiency. Water utilities are persistently challenged with aging and degrading infrastructure, constant resource constraints, and dynamic environmental factors that demand innovative solutions. Solutions can be borrowed from an entirely different industry. Initially devised for developing software, Agile methodology has an innovative approach that can help water utilities address these challenges. Agile provides a highly flexible and efficient framework for managing complex water systems by emphasizing iterative planning, interdisciplinary collaboration, and continuous stakeholder engagement. This paper focuses on applying Agile principles to WNAM while critically understanding its potential to enhance resource allocation, responsiveness to system failures, and stakeholder satisfaction. Key concepts from Agile methodology are linked to WNAM processes to understand the applicability of the water sector’s unique demands. Case studies from analogous fields, such as healthcare, manufacturing, and transportation sectors, underscore the benefits of Agile-inspired practices while highlighting lessons learned and potential challenges. The research points out the need for tailored frameworks to address regulatory constraints and ensure long-term planning alongside Agile’s short-term flexibility. Future research opportunities are discussed, including integrating Agile with digital tools such as Geographic Information Systems (GIS), Internet of Things (IoT), and Artificial Intelligence (AI) and its application in climate adaptation. The findings highlight Agile’s potential to modernize WNAM and promote resilient, sustainable water systems.
The Impact of COVID-19 on Logistics in Modern Economies: A Case Study of the United Arab Emirates
Authors: - Haroon Rashid
Published: January 2025

The COVID-19 pandemic has significantly disrupted global logistics networks, presenting both challenges and opportunities for economies worldwide. The United Arab Emirates (UAE), a key international trade hub, faced a series of logistical disruptions caused by supply chain bottlenecks, labor shortages, and increased transportation costs. This article provides an in- depth analysis of the impact of COVID-19 on the logistics sector in the UAE, including disruptions to supply chains, changes in transportation methods, and the resultant modifications in logistics strategies. The UAE government and corporate entities undertook multiple interventions to adapt, focusing on digital transformation and collaboration to sustain essential supply chains. This study also presents recommendations for future resilience in logistics, emphasizing the importance of building diversified and adaptable logistics networks. The findings of this case study highlight critical lessons learned, including the role of technology and resilience planning in mitigating the effects of future global disruptions
Growth Accounting and Retention for Product Market Fit
Authors: - Arjun Reddy Lingala
Published: January 2025

In today’s rapidly evolving business landscape, achieving product-market fit (PMF) is a critical milestone that often separates successful ventures from those that falter [1]. This paper delves into the intricacies of growth accounting and retention strategies, two fundamental pillars that underpin sustainable growth and long-term success to achieve PMF. In the ever-evolving business environment, PMF is characterized by the aligning of a product’s value proposition with customer needs, driving demand and sustainable growth in the increasingly dynamic business environment [2]. This paper undertakes a deep exploration of growth accounting, a framework to be used to break down and
understand the dynamics of growth, along with a retention analysis that ensures the customer’s loyalty and value for a long period. Growth accounting is the basis of quantitative measures for business performance that cover things like DAU, WAU, MAU, and so on. The paper also discusses retention as the primary growth driver, thoroughly examining the methodologies for measuring retention, for example, cohort analysis, and focusing on the actionable strategies to improve the product’s stickiness and customer satisfaction. By integrating these principles, businesses can optimize their resources, refine their strategies, and achieve a balance between scaling and maintaining customer engagement. This research outlines a clear path for startups and established organizations to measure growth effectively by aligning customer-centric approaches with robust metrics. Growth accounting and retention analysis are critical for understanding the trajectory of startups and established businesses aiming for product-market fit (PMF). This paper provides a structured approach to these topics, integrating frameworks, and actionable insights. This study highlights how businesses can achieve sustainable growth and maintain competitive positioning by focusing on customer acquisition and retention. In this paper, we also discuss how to implement growth accounting and retention using modern distributed systems.
Demand Response Management Using Advanced Data Analytics
Authors: - Ghouse Baba Shaik
Published: January 2025

Demand Response Management (DRM) is an essential component in current energy systems, allowing energy suppliers and customers to dynamically balance supply and demand. Advanced data analytics has transformed this field, providing real-time insights and predictive capabilities that improve energy usage patterns while lowering operating expenses. This article looks at the methodology, applications, and results of using advanced analytics into DRM. It shows crucial outcomes such as increased grid efficiency, increased customer participation, and lower energy waste, establishing analytics-driven DRM as a foundation for future energy sustainability.
Event-Driven Integration Strategy for Seamless B2B Financial Partner Transactions
Authors: - Gomathi Shirdi Botla
Published: January 2025

In today’s dynamic financial landscape, seamless integration between business-to-business (B2B) partners is essential for efficient operations. Event-driven architectures (EDA) offer an innovative approach to enabling real-time communication and transactions among financial systems. This paper explores how financial institutions can implement an event-driven integration strategy to handle scenarios such as customer discounts triggered by credit card purchases. Emphasis is placed on the role of event brokers and middleware in achieving responsiveness, scalability, and reliability in financial ecosystems.
Robotic Process Automation (RPA): Doing the Heavy Lifting in Fraud Detection for Healthcare Payments
Authors: - Puneet Sharma
Published: January 2025

The healthcare industry is one of the most targeted sectors for fraud due to the complexity of payment systems, the high volume of transactions, and the sensitivity of personal data. Robotic Process Automation (RPA) has emerged as a critical ally in fraud detection, enabling healthcare providers and insurers to identify anomalies, streamline audits, and safeguard patient information. Unlike traditional manual approaches, RPA leverages machine learning algorithms, process optimization, and real-time data analytics to combat fraudulent activities effectively.
This paper explores the role of RPA in revolutionizing fraud detection for healthcare payments, focusing on its ability to handle high transaction volumes, enhance operational efficiency, and improve compliance. It examines key technologies, implementation strategies, and future trends shaping this field. As the healthcare sector embraces digital transformation, RPA serves as a cornerstone for building secure, efficient, and resilient payment ecosystems.
Tailoring ERP Solutions for Industry-Specific Challenges in Custom Manufacturing
Authors: - Kosalee Thameera Galkaduwa
Published: January 2025

This paper aims to determine how specific ERPs meet the needs of custom manufacturing industries, and the implications for markets such as signage, furniture, and specialty equipment. Based on the findings, this study reveals how existing ERP systems lack flexibility in managing real-time production and scheduling, stock control, and tracking of customer orders. Drawing upon the data, it explains how features like speciality modules such as real-time scheduling, internet of Things-based inventory tracking for product availability, and the creation of customer-accessible dashboards also increase operative effectiveness and consumer satisfaction. The benefits highlighted by the cases include the cut down of lead times by at least 30 per cent, the cut down of material wastage by at least 25 per cent and an increase in the on-time delivery rate by at least 15 per cent. The study also deals with the customization issues such as cost escalation and implementation issues which are met with phased modular approaches for risk/reward optimization. The findings of this research may be useful for designers of ERP systems and other stakeholders who are interested in enhancing adaptability and competitiveness in today’s world.
Advanced Video & Image Processing Algorithms for Enhancing Predictive Maintenance in IoT – Enabled Smart Infrastructure
Authors: - Akshat Bhutiani
Published: January 2025

The integration of predictive maintenance algorithms into IoT enabled smart infrastructure has revolutionized asset management by enhancing operational efficiency, reducing downtime, and lowering maintenance costs. This paper explores advanced video and image processing algorithms tailored to
address unique challenges of predictive maintenance in smart infrastructure systems. By leveraging techniques such as object detection, anomaly recognition, and pattern analysis, these algorithms enable the accurate monitoring of critical components like energy systems, HVAC units and industrial machinery. The proposed solutions incorporate state-of-the-art imagine processing frameworks, including convolutional neural networks (CNNs) and optical flow analysis, optimized for deployment on edge devices to ensure real-time analysis and minimal latency. Experimental results validated on diverse IoT
datasets, demonstrate significant improvements in fault detection accuracy and system improvements.
Artificial Intelligence in BPM: Enhancing Process Optimization Through Low-Code Development
Authors: - Kartheek Kalluri
Published: January 2025

The study examines integrated AI technology with low-code platforms in redefining Business Process Management (BPM). Presently, traditional BPM systems increase issues such as complexity, dependence on manual coding, and insensitivity to the modern pace of change in business. However, combined with low-code platforms, AI can well serve the basis of offering future solutions using predictive analytics, intelligent automation, and streamlined decision-making while remaining accessible to the majority of users whose work is unrelated to IT.
This study is a completion of the mentioned three phases: (1) A literature review identifying knowledge gaps and analyzing the current use of AI in BPM; (2) Building the modeled order fulfillment process optimized with low-code tools and an AI model; and (3) Evaluation with qualitative and quantitative metrics like cost efficiency, gains, and user satisfaction.
The results show that the January 1987 order processing time was reduced by 57%, operational costs had decreased by 40%, and customer satisfaction improved by 20%. There were some AI models, e.g., demand forecasting and logistics optimization, which reduced bottlenecks during the process and hence enhanced scalability. A good number of users, who were not yet connected to IT, indicated the importance of low code such as Microsoft Power Automate and Out Systems to enable them to deploy AI solutions. AI integration through low-code platforms democratizes BPM innovation, delivering scalable and efficient solutions to traditional BPM bottlenecks, concludes this study. Findings prove the validity of such an approach for boosting agility and thereby competitiveness in a dynamic business landscape.
The Role of Pharmacists in Ensuring the Safe and Effective Use of Over-The-Counter (OTC) Products in Retail Pharmacies
Authors: - Adinarayana Andy , - Divya Andy , - Aman Suresh Tharayil
Published: January 2025

Pharmacists play a crucial role in managing over-the-counter (OTC) products within retail pharmacy settings, ensuring safe and effective use among consumers. With the rise in self-medication trends, the responsibility of pharmacists extends beyond merely dispensing products to providing informed guidance, assessing potential drug interactions, and educating patients on proper usage. This article explores pharmacists' roles in OTC product management, including counseling, screening for contraindications, and ensuring patients understand dosage and side effects. Challenges such as limited access to patients' medical histories and the ethical considerations surrounding OTC product recommendations are also discussed. Furthermore, this study highlights the impact of regulatory guidelines on pharmacists' practices and emphasizes the importance of patient-centered communication. Through these efforts, pharmacists contribute to public health by promoting safe OTC product use, preventing adverse reactions, and fostering an environment of responsible self-care. The evolving landscape of OTC product management offers opportunities for improved patient outcomes through technological advancements and enhanced training.
Workday Finance for Real-Time Financial Analysis: Bridging the Gap Between Finance and Strategy
Authors: - Monu Sharma
Published: January 2025

Workday Financial Management offers organizations a comprehensive suite of tools designed to enhance operational efficiency, improve financial governance, and drive informed decision-making. By leveraging actionable analytics, Workday enables businesses to gain deeper insights into their financial data, empowering teams to make data-driven decisions that align with strategic goals. The platform ensures compliance with evolving regulatory requirements, while enhancing internal controls and simplifying financial processes.
This paper examines how Workday Finance, a cloud-based ERP solution, facilitates real-time financial analysis, providing organizations with the ability to analyze financial data in real-time and make quick, informed decisions. Through case studies and use cases, we explore how Workday integrates financial data with broader business strategies, enhances operational efficiency, and supports long-term strategic planning. The paper highlights the value of real-time insights in achieving business performance, improving financial alignment, and driving sustainable growth across departments.
The Growing Energy Demand of Data Centers: Impacts of AI and Cloud Computing
Authors: - Satyam Chauhan
Published: January 2025

As artificial intelligence (AI) and cloud computing continue to expand, energy consumption in data centers has surged, resulting in significant environmental and economic consequences. Recent studies indicate a 160% increase in energy consumption due to these technologies. This paper examines the primary drivers of this escalating demand, focusing on the high computational workloads and the increased cooling requirements. It also evaluates current mitigation strategies such as energy-efficient hardware, advanced liquid cooling systems, and the integration of renewable energy sources. In addition, the paper explores emerging technologies like edge computing and quantum processing, which could enhance future energy efficiency in data centers. A comprehensive analysis of industry data, technical specifications, and academic research offers valuable insights into sustainable solutions that may reshape the data center landscape.
Overcoming Data Loss Challenges: Best Practices for Backfill and Reprocessing in Distributed Data Systems
Authors: - Varun Garg
Published: January 2025

Data loss is one of the key issues in distributed systems that could cause operational interruptions, wrong analysis, and financial losses. Modern data-driven operations are built on distributed systems, which should be robust given the expanding component interdependence and increasing complexity of data
pipelines. Backfill and reprocessing techniques, studied in this work as strategies of minimizing data loss, are what maintain data accuracy and operational continuity. Together with the significant challenges provided by distributed architectures-scalability, latency, and fault tolerance-the paper offers pragmatic best practices for implementation. Tools such as Databricks, Kafka, and S3-which let trustworthy, scalable, automated data recovery processes-enable foundational pieces for these systems. With the aid of real-life scenarios and new technology, this paper tries to provide a complete framework for companies willing to enhance their distributed systems against data loss risks, thus making them resilient and robust in front of increasing data demands.
Real-Time Analytics in the Cloud: Innovations in Stream Processing
Authors: - Rohini Isarapu , - Sharathchandra Gowda
Published: January 2025

This comprehensive article examines the evolution and current state of stream processing technologies in cloud environments, focusing on real-time analytics innovations. The article explores key technological advancements in stream processing frameworks, including Apache Kafka, Apache Flink, and Google Cloud Dataflow, while analyzing their impact on operational efficiency and decision-making processes. The article delves into the integration of machine learning with stream processing, addressing technical challenges such as data consistency and performance optimization. Furthermore, it investigates various windowing strategies and implementation considerations crucial for modern stream processing systems. The article also highlights emerging trends in edge computing integration, automated scaling mechanisms, and complex event processing capabilities, providing insights into the future direction of stream processing technologies.
Collaborative Intelligence in API Gateway Optimization: A Human-AI Synergy Framework for Microservices Architecture
Authors: - VijayKumar Pasunoori
Published: January 2025

This article presents a novel framework for optimizing API gateway performance in microservices architectures through human-AI collaboration. The article proposes an integrated approach that leverages artificial intelligence for real-time monitoring and dynamic configuration adjustments while incorporating human domain expertise for strategic decision-making. The framework implements machine learning algorithms for traffic pattern analysis, anomaly detection, and predictive optimization, complemented by a human-in-the-loop interface that enables expert oversight and intervention. The article implementation demonstrates improved gateway performance across multiple metrics, including response time, resource utilization, and system reliability. Through case studies across different industry sectors, the article validates the framework's effectiveness in maintaining optimal gateway performance under varying load conditions while adhering to business constraints and regulatory requirements. The results indicate that this synergistic approach provides superior optimization outcomes to purely automated or human-managed systems. The findings contribute to the growing knowledge on human-AI collaboration in infrastructure management and provide practical insights for organizations implementing microservices architectures.
The Study on Impact Work Life Balance Initiatives on Employee Morale At Solara Active Pharma Science
Authors: - Sriranjani Govindane , - D. Saravanan
Published: January 2025

This study explores the impact of work-life balance (WLB) initiatives on employee morale at Solara Active Pharma Sciences, Pondicherry, using data from 130 employees. Statistical analysis reveals a strong positive relationship, with initiatives like flexible hours, wellness programs, and leave policies boosting morale. Key predictors include maintaining a healthy personal life and disconnecting after work, though areas like inclusivity and communication need improvement. The study concludes that while WLB initiatives positively influence morale, strategic refinements are recommended to address workforce diversity and enhance productivity.
A Study on Talent Acquisition Practices for Enhanced Talent Management at Namlatech India Private Limited
Authors: - Yuvarani , - Saravanan
Published: January 2025

This research examines the talent acquisition practices at Namlatech India Private Limited and their role in enhancing overall talent management. As a dynamic IT solutions provider with a global presence, Namlatech operates in a competitive environment where strategic recruitment is pivotal for sustained growth. The study adopts a descriptive research methodology, collecting data from 103 employees through structured questionnaires. Statistical techniques, including Chi-square, ANOVA, regression analysis, and correlation, were applied to derive meaningful insights. Findings indicate that strategic talent acquisition practices significantly influence employee retention, learning and development opportunities, and satisfaction with compensation
Novel Approach for Solving an Assignment Problem using Brute Force Method
Authors: - Anly Mariya. P. V , - Sahaya Sudha. A
Published: January 2025

This paper applies the Brute Force method to the Assignment Problem to minimize total man-Hours. By generating and evaluating all possible task assignments, we effectively find the optimal solution, demonstrating the method’s capability in solving small to medium-sized problems with precision and accuracy. In this paper, we investigate the effectiveness of a Brute force method in solving the Assignment Problem.
A Study on Growth in Deposits and Lending Loans in Puduvai Bharathiar Grama Bank
Authors: - Sasirekha , - Dr. R. Sureka Ravi
Published: January 2025

This study investigates the growth trends in deposits and lending loans at Puduvai Bharathiar Grama Bank (PBGB), a prominent regional rural bank in Puducherry. With a focus on analyzing the bank's financial performance over the last decade, the research examines the key factors influencing the growth in both deposits and loans
A Study on the Effect of Liquidity Management on Profitability at Central Co-operative Bank in Villupuram District
Authors: - Indhumathi.N , - Chandramohan.T
Published: January 2025

The study investigates the liquidity management of the District Central Cooperative Bank (DCCB) in Villupuram district and their impact on profitability. It emphasizes the critical role of liquidity in ensuring the bank's operational efficiency and financial health.
A Study on Inventory Management of Servo Packaging Limited
Authors: - SNEGASRI.S , - Mr.T. Chandramohan
Published: January 2025

This study evaluates the inventory management practices at Servo Packaging Limited, focusing on optimizing stock levels and reducing costs. The research examines key techniques, including Economic Order Quantity (EOQ), ABC analysis, and stock level maintenance, using secondary data such as balance sheets and inventory reports. The findings show that Servo Packaging has effectively managed inventory to ensure smooth production while minimizing costs. However, improvements in supplier reliability and the implementation of Just-In-Time (JIT) inventory could further enhance efficiency. Overall, the company balances cost-efficiency with customer demand, though further optimization is possible.
Hacking and Its Socioeconomic Impact: Understanding the Importance of Proactive Cybersecurity Measures
Authors: - Raincent M. Anjie , - Damier M. Hassan , - Almajir Lackian , - Nurgadan I. Yusop , - Redimar Reni , - Sannybar Omar , - Benomar J. Sicangco , - Medzfar S. Suhaili , - Alghafar J. Taha , - Shernahar K. Tahil , - Donhaimer Utal , - Nureeza J. Latorre
Published: January 2025

The study illustrates how the socioeconomic impact of hacking can be minimized if we come up with intentional cybersecurity deterrents. Qualitative research design by Cheung & Matz (2016) utilized semi-structured in-depth interviews with key informants, comprising electronic hacking victims and local stakeholders in the Philippines (e.g., cybersecurity professionals). Through thematic analysis, the data were examined for emerging themes, including the financial and emotional impact on victims, the increasing sophistication of cyber threats, and the importance of education and policy in developing cybersecurity resilience. The report highlights the need for proactive measures such as public education and awareness campaigns, training institutions to deal with such threats, and employing strong cybersecurity measures. Therefore, this study adds to the growing body of literature concerning the multidimensional effects of cybercrime and offers some empirical evidence, information, and practical recommendations for improving digital safety. Its implications resonate with lawmakers, proponents, and any of us navigating the complicated realities of the digital reality.
Vegetative reclamation in the Rajrappa Coalmine region
Authors: - Kalpana Suman , - Ashok Kumar Choudhary
Published: January 2025

Coal mining activities causes great change and disturbance in the landscape. The major changes brought by coal mining are surface subsidence, deforestation, soil erosion, landscape fragmentation, water table disturbance, interrupted flow of water channels, vegetation disruption and many more. Vegetative reclamation emerges as a promising strategy to restore these disturbed landscapes in coal mine regions. The effectiveness of vegetative reclamation has been demonstrated time to time for improving soil quality, increasing vegetation cover, and promoting biodiversity by case studies and field experiments. The present study highlights the importance of integrating ecological principles into reclamation practices to achieve a balance between economic development and environmental conservation in coal mine regions. This study investigates the efficacy of vegetative reclamation using satellite monitoring technology to assess and manage reclaimed areas.
Effects of Climate Change on Land Use and Agriculture: A Study of Patna Planning Area
Authors: - Jayesh Raj , - Nandlal Singh
Published: January 2025

Agriculture is the most vulnerable to climate change, due to its huge size and sensitivity to weather parameters, causing huge economic impacts (Malhi et. al, 2021). During the past 140 years, India has experienced remarkable land use and land-cover changes including deforestation, cropland changes, and urban expansion (Roy et al., 2015; Tian et al., 2014). The changes in climatic events such as temperature and rainfall significantly affect the yield of crops. The effect of rising temperatures, precipitation variation, and CO2 fertilisation varies according to the crop, location, and magnitude of change in the parameters. The temperature increase reduces the yield, while the precipitation increase will likely offset or reduce the impact of increasing temperature (Mendelsohn, 2009). The past few decades indicate that significant global climate changes were triggered by countless local changes resulting from enhanced human activities that altered the composition of the worldwide atmosphere (Karimi et. al, 2018). This paper reviews the information collected through the literature regarding the issue of climate change, its possible causes, and its impact on the agriculture sector as an influence on the physiological and metabolic activities of plants, and its potential and reported implications for growth and plant productivity. The study reveals that the nature of land and land use is dynamic and the surroundings of agricultural land are also changing with the invasion of different types of construction. Traditional farming is practised in the study area by the common farmers and they lack an understanding behaviour of climate.
Sustainable Urban Development Through Mathematics
Authors: - Gurpreet Kaur
Published: January 2025

Sustainable urban development (SUD) is a critical global priority to balance rapid urbanization with environmental, economic, and social well-being. Sustainable Development and Mathematics seem to be completely incoherent to many people. But Mathematics is the prime mover in attaining the Sustainable Development Goals (SDGs) approved by United Nations (UN) because of its implement abilities to real situations. Mathematical modelling plays pivotal role towards sustainable development in arriving the understanding, prediction and control of the development process. To attain the goals set for SDG, this paper puts forward some mathematical models that will be proved functional in relation to the goal of Sustainable Urban Development and Infrastructure. Urban Growth and Land Use Model, optimizes land use and reduce urban sprawl. Transportation and Mobility Model, directs to reduce traffic congestion. Waste Management Model, guides cities in optimizing recycling programs. Subsequent research shall focus on applications of these models. By illustrating key case studies and methodologies, we demonstrate how these models contribute to achieve sustainable urban environments.
The Nexus of Brand Trust, Social Media Marketing Features, and Online Fast-Food Purchase Intentions: An Empirical Inquiry
Authors: - Suraj Gupta
Published: January 2025

The Fast-Food Industry has evolved with the change of time In India, stating the rise of online platforms like: Swiggy And Zomato, driven by various Social Media Marketing Features. Some features being Interactivity, Informativeness, Perceived Relevance and Entertainment to connect with users, Build Brand Trust and Influence Purchase Decisions. This research explains how this evolution has influenced fast-food purchase behavior, emphasizing mediating role of Brand Trust. Using a sample of 252 respondents aged (16-24) and tools like regression and KMO tests in SPSS, the study finds that social media marketing features do impact consumer behavior, with brand trust amplifying their effect. It highlights the important of Market and social media strategies evolution, trendiness and E-WOM. The findings highlights that brands excelling in content, customer service and ethical practices gain a competitive edge. In a dynamic digital market, brands must continuously innovate to align with customer expectations in order to maintain loyalty and engagement in the Online Fast-Food Market.
Geographical and Societal Foot Prints in Bukowski’s Works with Reference to Los Angeles
Authors: - Venkatesha P
Published: January 2025

The life and work of Charles Bukowski are heavily influenced by geographical and societal factors of the city Los Angeles. This article looks at how the city has changed throughout his life and works. To highlight the author's distinct perspective on the city and its various sites—that of a disenfranchised insider writing at street level—it places the author into the greater context of Los Angeles' literary depiction. Then it advises recreating the author's dual trajectory and that of his works in relation to the city.
Bibliometric Study of the Impact of Algorithmic Trading on Market Microstructure: Trends Patterns and Implications
Authors: - Karishma Yadav , - Indresh Pratap Singh , - Nishant Kumar
Published: January 2025

The study employs Bibliometric analysis to provide a comprehensive overview of the financial markets, how they operate and how they are impacted by algorithmic trading. Market Microstructure is a dynamic process and its process continues to evolve. The expansion of algorithmic trading over the past two decades is intricately linked to technological advancements and regulatory shifts in the structuring of securities markets. The study aims to map how the literature on this field has evolved over the years by identifying the leading sources of knowledge in terms of the most influential articles, Journals and authors. The study covers 553 articles published in 146 Journals with an annual growth rate of 7.25% during the period from 2001-2024 from the Scopus database. The Journal of Quantitative Finance is the most relevant source in terms of articles published whereas the Journal of Econometrics is the leading Journal in terms of H and G index, and citations received on this topic. Tim Bolleslerv is the leading author in terms of being active over the years (2001-2024), total citations (3617), total publications (16), H index (13) and G index (16). The most cited document based on the locally cited documents is “Realized Variance and Market Microstructure Noise”(2012) authored by Peter R Hansen and Asger lunde, which was published in the “Journal of Business & Economics Statistics”. USA is the most cited country whereas Market Microstructure (246) is the most used keyword followed by High-frequency Data (179) times. This research will help the practitioners, academicians and future researchers by giving them insightful information about the current available literature and future areas in which research can be conducted.
Footprints of ‘Rights of Nature’ and ‘Non-human Interests’ Within ‘Constitutional Governance’: Some Reflections
Authors: - Dr. Udit Raj Sharma
Published: January 2025

This research at hand attempts to question and critique the pervasive anthropocentric and human-centric approach in the Indian environmental governance and attempts to explore how this approach may give way to eco-centric approach of governance (one which is pragmatic and real). The challenge is to practice eco-centrism and position it at the heart of the environmental governance model.
Factors Influencing Intimate Partner Violence: A Study on Khulna City, Bangladesh
Authors: - Nipu Khanam , - Nuzhat Fatema , - Sakil Ahmed
Published: January 2025

Intimate partner violence (IPV), also known as domestic violence, is a pattern of behavior where one partner uses physical, sexual, emotional, or economic abuse to gain power and control over the other partner in a relationship. Intimate partner violence is increasing and several factors influence this to happen, which is a problem. This research study investigated the factors influencing intimate partner violence in Khulna City, Bangladesh. The objectives of this study were to investigate the pattern of intimate partner violence in Khulna City and to identify and analyze the factors that influence intimate partner violence. The research has used the mixed-method, where both the quantitative and qualitative analysis was conducted. The analysis includes quantitative analysis, Interviews, and FDG with 8 individuals. Quantitative data was collected through a survey where the sample size was 140, and qualitative data was collected through interviews where the sample size was 16. The random sampling method was used to select the necessary sample for this study. The study has found that educational attainment, occupation, monthly income, poverty, addiction, psychological disorders, empowerment, infertility, sexual relationships, patriarchal attitudes, and gender inequality were also significantly related to IPV and working as the key factors that influence Intimate partner violence. The new findings of this thesis are that becoming empowered, sympathy care of Gender inequality, adaptation to foreign cultures, And lastly, the most common things in this era are extramarital affairs, which is causing intimate partner violence. The findings highlight the importance of these factors in shaping the occurrence and dynamics of IPV in Khulna City, emphasizing the need for targeted interventions and policies to address this issue effectively.
Assessment of Awareness of Risk Factors Associated with Cardiovascular Diseases among Undergraduate Students at the University of Cyberjaya in Malaysia
Authors: - Mashithah Binti Ahmad Na'ami N , - Izzatul Nadhirah Binti Idros , - Sakthis A/P Tamilselvan , - Hussein Mohamed Abdullahi
Published: January 2025

Background: Although significant research has explored cardiovascular disease (CVD) epidemiology and risk factors across populations, there's been a notable oversight in assessing awareness levels among undergraduate students in Malaysia. Awareness significantly influences health behaviours and preventive measures. Recognizing knowledge gaps and misconceptions regarding CVD risk factors among young adults is crucial for crafting impactful health promotion strategies aimed at alleviating the long-term burden of CVD. Aim: The study was conducted to assess the prevalence of awareness of risk factors for cardiovascular disease among students of various faculties in the University of Cyberjaya. Method: A cross-sectional study was conducted by distributing questionnaires online and physically to 424 students from various faculties. Data analysis was done with Jeffrey's Amazing Statistics Program with Pearson’s correlation. Result: The study shows that students from the faculty of medicine had the highest awareness of cardiovascular disease risk factors while students from faculty of allied health sciences had moderate awareness and those from other non-healthcare related faculties had lower awareness. Conclusion: This research reveals significant differences in cardiovascular disease risk awareness among undergraduate students at the University of Cyberjaya.
The Role of ChatGPT in Modern Oral and Maxillofacial Surgery-A Narrative Review
Authors: - Anagha. M. D , - Dr. Shobha. E. S , - Dr. Vinod Rangan , - Vipul M Naik , - Kaushik , - Dheeraj. N. Shet , - Dr. Yashas Raj
Published: January 2025

The ChatGPT, a specialized version of the Generative Pretrained Transformer 4 (GPT-4) developed by OpenAI, is a significant advancement in Large Language Models (LLMs). Integrating AI-powered ChatGPT into oral and maxillofacial surgery represents a transformative change in healthcare, improving
diagnostics, treatment planning, patient communication, and surgical training. Its rapid analysis of extensive databases ensures precise, personalized diagnosis and treatment strategies, reducing risks and enhancing patient outcomes. ChatGPT enables virtual consultations, educates patients, and acts as a real-time surgical assistant during procedures, while AI-driven techniques simultaneously improve the skills of aspiring surgeons.
Investigating Security Flaws in Cryptocurrency Wallets and Developing Strategies to Enhance Their Security
Authors: - Deepika sharma , - Martha Sucharitha
Published: January 2025

Cryptocurrency systems face security risks like rug pulls, 51% attacks, and IoT identity breaches despite blockchain's decentralized nature. Analyzing these vulnerabilities can help develop robust solutions to secure blockchain ecosystems.
The Role of Economic Intelligence in the Valorization of the Knowledge Within an Algerian Society / Case of the Center for Technological Studies and Services of the Building Materials Industry, by Abbreviation CETIM, Subsidiaries of the GICA Group
Authors: - LAMARA MAHAMED AMEL
Published: January 2025

This article deals with one of the managerial devices necessary for the valorization of the knowledge available to a company in order to create a strategic advantage. This article complements article N IJFMR23069085 published in November 2023 in International Journal for Multidisciplinary Research and which deals with the role of the KM process as the first managerial device involved in the valorization of knowledge.
Through a qualitative research by single case study, our objective was to verify the existence and functioning of the economic intelligence in the valorization of knowledge within the Center for Studies and Technology Services of the Building Materials Industry. (CETIM) Subsidiary of the Groupe Industriel des Ciments d'Algérie (GICA), then to demonstrate how it allows the transfer of knowledge from the CETIM to the subsidiaries of the same Group and consequently, obtaining a strategic advantage from knowledge transferred.
Through the analysis of data collected, since the period from 2020 to 2022, in the field from two (02) methods of investigation (observation and interviews), the results showed that in addition to the managerial devices included in the literature review and set out in the conceptual framework, other operational mechanisms involved in the valorization of knowledge have been identified in the field.
Deep Learning-Based Classification of Pulmonary Diseases from Chest X-Ray Images
Authors: - Burcu Oltu , - Berna Dengiz , - Selda Güney
Published: January 2025

COVID-19, tuberculosis (TB), and pneumonia, are life-threatening diseases, that lead to death if not diagnosed or treated promptly. Chest X-rays (CXRs) are the primary imaging technique for detecting pulmonary diseases due to their ease of use, accessibility, low radiation doses, and reasonable pricing. However, interpreting CXRs is highly dependent on radiologists’ experience and is prone to diagnostic errors. Therefore, a computer-aided diagnostic system may improve the detection accuracy. In this study, a deep learning-based (DL) end-to-end model is proposed for the classification of CXRs into TB, pneumonia, COVID-19, lung opacity, and healthy classes. The proposed model uses DenseNet201 as the backbone model for feature extraction and includes a squeeze-and-excitation block, and global average pooling (GAP) to highlight representative features while suppressing the redundant ones. This approach results in an average test accuracy of 98.94%, precision of 98.22%, recall of 98.03%, specificity of 99.18%, F1-score of 98.12%, and area under curve (AUC) of 0.996 for classifying five categories. This DL-based model provides objective results and performs better than existing methods in literature. Ablation studies are also conducted to show the effectiveness of the proposed method. Additionally, Grad-CAM is used to provide a visual representation of the model's decision-making process.
Innovative use cases of blockchain in IOT, with particular emphasis on decentralised data marketplaces
Authors: - Prof. Nidhi Upadhyay , - Mr. Bhaskar jha , - Mr. Sagar sharma
Published: January 2025

The convergence of Blockchain and the Internet of Things (IoT) represents a remarkable revolution in modern era, solving the various challenges in those regions Blockchain with its decentralized, immutable and transparent nature makes for robust systems improving the security, efficiency and reliability of IoT systems Explore new blockchain programs, focusing on decentralized records markets.
IoT has transformed businesses by way of enabling seamless connectivity and facts generation. However, conventional centralized IoT structures face protection vulnerabilities and inefficiencies. Blockchain technology, a decentralized ledger, can mitigate those issues by making sure stable and obvious transactions and increasing community reliability.
Human-AI Symbiosis in Business Process Automation: A Framework for Maximizing Operational Efficiency
Authors: - Ranadheer Suram
Published: January 2025

This article examines the strategic integration of human expertise and artificial intelligence (AI) in business workflow automation, focusing on maximizing operational efficiency through collaborative approaches. The article investigates how organizations can effectively balance human cognitive capabilities with AI-driven automation to optimize business processes while maintaining quality and
operational excellence. This article presents a framework for implementing human-AI collaboration through systematic analysis that encompasses data-driven process optimization, customer service enhancement, and continuous feedback integration. The article identifies key factors contributing to
successful human-AI collaboration, including strategic training programs, feedback loop mechanisms, and balanced workload distribution between human agents and AI systems. Findings indicate that organizations implementing well-structured human-AI collaborative models demonstrate enhanced workflow efficiency, improved customer service delivery, and increased team productivity. This article contributes to the growing knowledge of human-AI collaboration in business operations. It provides practical insights for organizations seeking to optimize workflow processes through intelligent automation while leveraging human expertise.