bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of IT Industry and Innovation in Technology
Authors: - Ankit Srivastava
Published: January 2025

Evaluating the IT industry and its technological innovation involves assessing the current state of technology development, analyzing emerging trends, measuring the impact of new solutions on various sectors, and considering factors like market penetration, technical feasibility, economic viability, and societal implications, while also looking at the pace of innovation and the ability of companies to adapt to rapidly changing technological landscapes. By conducting a comprehensive evaluation of the IT industry and its technological innovations, companies can identify opportunities to leverage new technologies, develop strategic initiatives, and stay ahead of the curve in a rapidly evolving landscape.
Advanced Technique for Analysis of the Impact on Performance Impact on Low-Carbon Energy Systems by Plant Flexibility
Authors: - Sree Lakshmi Vineetha Bitragunta , - Lakshmi Sneha Bhuma , - Gunnam Kushwanth
Published: January 2025

This research explores the critical role of adaptability in thermal power plants in relation to future low-carbon energy infrastructures. A stochastic scheduling framework that employs rolling planning is adopted to quantify the reductions in operational costs brought about by augmented flexibility. The framework proficiently arranges the allocation of energy and ancillary services while directly confronting the uncertainties linked to renewable energy generation and production failures. Numerous dimensions of flexibility are outlined and evaluated across two representative systems, indicating that the assessment of plant flexibility is critically reliant on the unique system context. Sensitivity analyses are carried out to scrutinize the influence of heterogeneous scheduling methodologies and carbon taxation on the significance of flexibility in addition to these conclusions, the manuscript examines the role of flexibility in sustaining grid stability as the integration of renewable energy intensifies, highlighting its crucial importance in mitigating the variability and intermittency associated with renewable resources. The connection between flexibility and energy storage solutions is explored, emphasizing their joint ability to strengthen system reliability. Also, the report probes into the impact of flexibility on sustained investment choices, taking into consideration how market setups and policy efforts, including carbon pricing and subsidies, can assist in advancing the utilization of flexible technologies.
Behavior-Driven Development (BDD) for Insurance Domain Testing
Authors: - Praveen Kumar Koppanati
Published: January 2025

Behavior-Driven Development (BDD) is an evolution of Test-Driven Development (TDD) that addresses the communication gap between developers, QA engineers and business stakeholders by utilizing natural language to define requirements and tests. Such a mechanism paves the way for seamless integration of software functionality with business objectives, more specifically in industries like insurance where compliance must be carried out in alignment and precise logic handling should go hand-in-hand. The insurance sector's complexity due to policy handling, regulatory frameworks, and integration with legacy systems makes it a prime candidate for leveraging BDD. In this paper we examine how BDD is influencing the insurance domain, where it can be used in automation testing (or non-UI level tests), continuous integration and even assist to fulfil regulatory requirements. This paper provides an extensive review on how BDD tools such as Cucumber, SpecFlow and JBehave have been integrated in insurance domain testing for improving collaboration, accuracy of testing and compliance.
Impact of Bias in Incrementality Measurement Created on Account of Competing Ads in Auction Based Digital Ad Delivery Platforms
Authors: - Varun Chivukula
Published: January 2025

Incrementality measurement, often conducted via randomized control trials (RCTs), is widely recognized as the gold standard for assessing digital advertising effectiveness. These measurements aim to quantify the true causal impact of advertising campaigns by isolating incremental outcomes from baseline behaviors. However, auction-based ad delivery platforms, which rely on complex real-time bidding (RTB) mechanisms, introduce substantial biases that compromise the validity of incrementality results. These biases stem from competitive dynamics, including intra-advertiser (self-competition) and inter-advertiser (rival) effects, which distort treatment-control group comparisons through mechanisms such as bid inflation, cannibalization of conversions, and contamination of control groups. Moreover, these biases are exacerbated by temporal and spatial variations in auction intensity and user behavior.
This study explores the mechanisms through which auction dynamics skew incrementality measurements, with a focus on biases affecting cost-efficiency metrics like incremental Return on Ad Spend (iROAS) and incremental conversions. Using theoretical models and empirical analyses, we highlight the role of bid overlap, sequential exposure effects, and auction pressure in distorting results. The paper also proposes methodological interventions, including advanced experimental designs, collaborative data frameworks such as cleanrooms, and auction-dynamics-aware metrics.
Empirical Analyses of the Bias in User Based Randomized Control Trials Created Due to Difference in Unit of Randomization and Unit of Measurement in Digital Ad Delivery Platforms
Authors: - Varun Chivukula
Published: January 2025

impact of ads. However, misalignment between the units of randomization and measurement introduces biases that significantly distort lift outcomes. This paper examines such challenges when the unit of randomization is an ad platform user, but the unit of conversion measurement aligns with advertiser accounts. Using a probabilistic model, we quantify the understatement in measured lift caused by this misclassification, identify drivers, and propose potential solutions.
Leveraging MDG Key Mapping to Navigate Complexities in Supply Chain & Financial Systems with Diverse Key Identifiers
Authors: - Arun Chinnannan Balasubramanian
Published: January 2025

In today's globalized supply chain environments, enterprises often operate across multiple systems, each with its own set of key identifiers for products, customers, and suppliers. These heterogeneous systems create challenges in ensuring data consistency, integrity, and synchronization across different applications and platforms. This white paper explores how SAP Master Data Governance (MDG) and its "Key Mapping" functionality can be employed to solve the complex issue of aligning and interacting between systems that use different key identifiers. The paper discusses the challenges faced in such landscapes, provides solutions through SAP MDG Key Mapping, addresses exception scenarios, compares alternative industry approaches, and is supported by examples and scholarly references.
Digital Wellbeing for People with Different Disabilities
Authors: - Anand Sarangam
Published: January 2025

This report examined the role of digital wellbeing tools in enhancing the quality of life for individuals with disabilities. It explored the benefits of regulating digital usage, such as improved physical health and mental wellbeing, although technological barriers and data privacy concerns persisted. Key findings underscored that personalized and accessible tools significantly contribute to autonomy and independence, fostering greater engagement and health management. Nevertheless, challenges such as user resistance to regulation highlighted the need for flexible, adaptable solutions. Recommendations focused on enhancing accessibility, advocating for customization, and raising awareness among caregivers and users about the advantages of digital wellbeing. Ultimately, the study stressed the importance of integrating these tools into everyday life, urging stakeholders to collaborate in creating inclusive and effective digital strategies tailored to the needs of individuals with disabilities.
Priority Based Message Queue Processing Using Software Thread
Authors: - Binoy Kurikaparambil Revi
Published: January 2025

In the world of restful services for the web application, the backend or most commonly called core software is the brain of most real world applications. In this type of complex software system, the core software has a lot of high priority tasks which can be real time or near real time and it may not have much bandwidth to deal with sharing the data or messages to web services like restful services. Priority based Message Queue Processing Using Software Thread is a software implementation technique that can be immensely helpful to handle the data and messages from the core software that need to be transmitted without blocking the core software program execution.
The Evolution of Product Management: From Tactical to Strategic Role
Authors: - Darshak Sanghavi
Published: January 2025

The role of product management (PM) has undergone significant transformation over the past several decades. What was once primarily a tactical role, often equated with project management and execution, has evolved into a strategic, cross-functional leadership position that plays a critical role in driving business success. This whitepaper explores the historical evolution of the product manager role, highlighting key factors such as the influence of Agile methodologies, the rise of data-driven decision-making, and the growing emphasis on customer-centric product development. By examining these factors, we will understand how modern product managers contribute not only to the development of products but also to shaping organizational strategy, aligning cross-functional teams, and fostering innovation [1].
Leveraging Google Cloud's BigQuery for Seamless Data Migration and AI Readiness
Authors: - Syed Ziaurrahman Ashraf
Published: January 2025

The rapid growth of big data requires efficient data migration and AI readiness strategies. Google Cloud's BigQuery offers scalable, serverless data warehousing solutions that support seamless migration of data from on-premises and cloud sources. This paper explores the technical strategies for leveraging BigQuery to accelerate data migration while ensuring data readiness for AI and ML workloads. We will examine the key features of BigQuery, data migration techniques, optimization practices for AI workloads, and the integration of BigQuery with AI tools. Additionally, we provide an in-depth analysis of real-world use cases and visual representations of the migration pipeline and AI workflow integration.
Optimizing Mechanical Component Development with APQP to Reduce Market Entry Delays
Authors: - Sakthivel Rasu
Published: January 2025

Advanced Product Quality Planning, or APQP, is a structured approach to ensuring that the product development process meets customer requirements, which is one of the most important aspects of manufacturing mechanical components. APQP's key importance is its capability to reduce the length of the development cycle by reducing TTM without sacrificing product quality.
This paper reviews the benefits of APQP in the context of mechanical components, analyzing exactly how this methodology speeds up entry into the market while minimizing risks through early planning and process validation.
Transforming Business Operations the Role of Business Intelligence in Achieving Competitive Advantage
Authors: - Bhavya Vashisht
Published: January 2025

In the fast paced world of financial services, companies are constantly on the lookout for ways to get ahead of the competition. Business Intelligence (BI) really is a fantastic tool to have in your toolkit. BI takes data and turns it into valuable insights for companies, helping them make smart choices, enhance their operations, and ignite innovation. This document explores how Business Intelligence (BI) can enhance business operations and give a competitive edge, particularly in the financial services sector, with an emphasis on financial fundamentals and forecasts.
Designing Resilient Microservices for High-Transaction Systems
Authors: - Vikas Kulkarni
Published: January 2025

Microservices enable scalability and modularity but demand robust resiliency mechanisms to ensure uninterrupted operations under high-load or failure scenarios. This paper explores strategies for designing resilient microservices, focusing on decoupled architectures, resiliency patterns, and deployment techniques. Practical examples from industry platforms like Kubernetes, Istio, and AWS ECS illustrate the application of these concepts, complemented by implementation details on fault injection, monitoring, and scaling.
Cracking Customer Pain Points: NLP Topic Modeling of Satisfaction Surveys
Authors: - Vinay Kumar Yaragani
Published: January 2025

This paper explores the use of Natural Language Processing (NLP) topic modeling to identify customer pain points from satisfaction surveys. As businesses increasingly rely on customer feedback to shape their strategies, extracting actionable insights from vast volumes of text data remains a challenge. We apply advanced NLP techniques, focusing on topic modeling, to uncover recurring themes and sentiments hidden within open-ended survey responses. By systematically identifying pain points, this approach provides a data-driven understanding of customer concerns, enabling businesses to address key issues that impact satisfaction and loyalty. The study emphasizes the potential of NLP to transform qualitative feedback into quantitative insights, offering a scalable solution for enhancing customer experience and guiding strategic decision-making. Our results demonstrate how these insights can be directly tied to operational improvements, driving both customer retention and competitive advantage.
Smart Parking Revolutionizing Urban Parking Solutions (An Insight into IoT, Building Management Systems, and Their Role in Modern Parking Challenges)
Authors: - Ashok Kumar Kalyanam
Published: January 2025

The incorporation of IoT technology and BMS, intelligent parking solutions take center stage in responding to modern urban parking challenges. The concept of smart parking has been discussed in this paper, focusing on how it can optimize the usage of parking space, reduce the time used in searching for parking slots, and improve the users' experience. IoT now allows for real-time monitoring and management of parking spaces with sensors, mobile applications, and data analytics, making the identification of available slots and navigation easy. Meanwhile, BMS integrates with IoT systems to provide a unified platform for efficient parking management, improving reserved and visitor parking solutions and offering seamless operations within urban buildings. These are very prolonged searches by employees for parking, lack of clear slot markings, and difficulty in navigation for visitors. The article presents some practical solutions to show how IoT and BMS technologies can revolutionize urban parking management and make cities smarter and efficient.
The Future of Food: Trends and Innovations
Authors: - Mohan Valluri
Published: January 2025

The food industry is undergoing rapid transforma- tion, driven by technological advancements, shifting consumer de- mands, and a growing focus on sustainability. This paper provides insights into future trends in the food industry, drawing on cur- rent challenges and pathways for transformation. It also outlines how food and beverage companies can leverage opportunities to create new growth while overcoming existing barriers. Key trends include the rise of personalized nutrition, advancements in food technology such as lab-grown meat, the incorporation of artificial intelligence (AI) in product development, and the increasing importance of sustainability. The paper explores how these trends will impact product innovation, manufacturing, and supply chains, and provides actionable insights for companies seeking to capitalize on these emerging opportunities over the next decade.
AI-Driven Payment Gateways: Spotting Fraud Before It Happens: Securing Your Credit Card Without You Knowing
Authors: - Puneet Sharma
Published: January 2025

In today’s rapidly evolving financial ecosystem, artificial intelligence (AI) has emerged as a cornerstone of payment gateway innovation. Leveraging AI-driven fraud detection, payment systems now possess the ability to identify and mitigate fraudulent activities in real time, often before they can cause harm. These advanced algorithms analyze vast amounts of data to detect anomalies, identify emerging threats, and protect consumers without disrupting their experience.
This paper explores the transformative role of AI in enhancing payment security, focusing on predictive analytics, behavioral modeling, and anomaly detection. It also delves into implementation challenges, ethical considerations, and future trends. By examining real-world applications and the convergence of AI with other emerging technologies, we shed light on how AI is redefining the trustworthiness and resilience of payment gateways.
The Role of HUDs in the Transition to Fully Autonomous Vehicles
Authors: - Darshak Sanghavi
Published: January 2025

The transition from human-driven to fully autonomous vehicles (AVs) represents a major shift in the automotive industry, with Head-Up Displays (HUDs) playing a pivotal role in this evolution. In semi-autonomous vehicles, HUDs improve safety and passenger experience by providing real-time vehicle data, facilitating vehicle-to-passenger communication, and fostering trust in the autonomous systems. As the industry moves toward full autonomy, HUDs will serve as a crucial interface for passengers, offering information on the vehicle’s state, safety alerts, and opportunities for engagement. This paper explores the role of HUDs in this transitional phase and their potential to enhance safety, trust, and user interaction as AV technology matures.
Quality of Life among Patients with Myocardial Infarction Admitted in Government Head Quarters Hospital, Erode. Tamilnadu
Authors: - Dr. Prof. P. Padmavathi Ph. D (N) , - Prof. Chandramathi. K , - Prof. Prema Josphin S , - Prof. R. Revathi , - G. Gopiga, C. Iswarya, Hemavathi, et, al.
Published: January 2025

Myocardial infarction (MI), colloquially known as "heart attack," is caused by decreased or complete cessation of blood flow to a portion of the myocardium. To determine the effectiveness of transitional care model on quality of life among patients with myocardial infarction. Pre- experimental design, where one group pretest and post-test design were used for this study. The study was conducted in Government headquarters hospital, Erode. 15 patients with myocardial infarction who are fulfilling the inclusion criteria were selected by purposive sampling technique. The study was conducted with health education on transitional care model on quality of life once a day for 7 days. WHO QOL tool was used to assess the quality of life. Pretest mean score was (52.40±8.89), which is 70% where as in post-test mean score was (45.93±5.91) which is 61%, showing the difference of 9 the paired ‘t’ value was 2.59, when compared to table values (0.05) it was high. Significant association was found between transitional care model on quality of life and history of smoking. The nursing intervention was highly effective on transitional care model on quality of life among patients with myocardial infarction.
The Influence of Storytelling on Emotional and Cognitive Growth in Early Childhood
Authors: - Dona Ghosh
Published: January 2025

This research investigates the role of storytelling in enhancing the emotional and cognitive development of children aged 3-6 years. The study employs a mixed-method approach, combining observational analysis and cognitive testing to assess how storytelling influences empathy, problem-solving skills, and language acquisition. The findings reveal that storytelling helps children develop emotional intelligence, improves their ability to resolve conflicts, and significantly boosts their language development. Furthermore, storytelling fosters creativity and imagination, laying the groundwork for a lifelong love of learning.
Assessment of Corticosteroid Use In Tertiary Care Hospital
Authors: - Hinda Mazhar MP , - Nisar Ahmed , - Abul Kalam Azad , - Deeksha S , - Shamim Akhtar Hussain
Published: January 2025

Corticosteroids - synthetic analogues of natural adrenal cortex hormones are widely used to treat various conditions. However, their long-term use can lead to risks. To assess the use of Corticosteroids in order to understand their benefits and risks, a prospective, observational study was conducted which analyzed corticosteroid use among 56 patients, 3.5% being infants, 8.9% being children, adults and older adults comprising 44.6% and 42.8% respectively, among which there were 20 males (36%) and 36 females (64%). A total of 92 corticosteroids were prescribed: 42 (45.6%) Dexamethasone, 9 (9.7%) Hydrocortisone, 12 (13%) Prednisolone, 27 (29.3%) Budesonide, 1 (1%) Beclomethasone, and 1 (1%) Fluticasone. Administration routes included oral (15, 16.3%), intravenous (48, 52.1%), and inhalation (29, 31.5%). The most common conditions treated included bronchitis (19.6%), pneumonia (17.8%), and COPD (14.2%). Adverse drug reactions (ADRs) occurred in 23 patients (41%), with common ADRs being hyperglycemia (29%), post-injection flare (32.2%), and hoarseness (16.1%), followed by osteoporosis, and least being hypertension, Cushing’s syndrome, facial puffiness, electrolyte imbalance, GI disturbances. Dexamethasone was associated with ADRs in 13 patients (56.5%), Budesonide in 8 (34.7%), Prednisolone in 3 (4.3%), Hydrocortisone, Beclomethasone, Fluticasone in 1 patient each. Interactions were observed in 42 patients (75%), mainly between corticosteroids and other drugs (57.3%), 1.4% with food, and 41.1% with co-morbidities. Minor interactions occurred in 38 patients (55.8%) and moderate in 30 (44.1%). Significant associations (p < 0.05) were found in the short-term use between hyperglycemia and hoarseness. This underscores the need for vigilant monitoring of side effects during therapy.
Advanced Market Analysis and United States Business Growth: Identifying Emerging Opportunities for Sustainable Profitability
Authors: - Olivia Oluchi Ebepu , - Ebuka Emmanuel Aniebonam , - Oyindamola Ololade Waheed , - Frederick Asamoah
Published: January 2025

Abstract
Businesses operating in developed nations are under increasing pressure to not only compete in a crowded market but also incorporate sustainability into their operations in the changing business environment of today. This study aims to give a thorough overview of advanced market analysis methods and how they are used in United States business development, with a focus on finding unexplored market niches and long-term growth prospects. According to the study, companies that use advanced market analysis techniques, like segmentation, competition intelligence, and consumer behaviour analysis, are better positioned to seize new opportunities and strengthen their position in the market. Furthermore, the study emphasizes how well-integrated sustainable business practices can promote long-term profitability. The study indicates that companies that place a high priority on sustainability tend to have greater levels of customer loyalty, operational efficiency, and resilience when faced with economic challenges. However, regulatory difficulties, high implementation costs among other challenges continue to be major obstacles to widespread use.
Assessing the Knowledge and Perceptions of Skin-lightening among Students at Simon Diedong Dombo University of Business and Integrated Development Studies (SDD-UBIDS); A Case Study of the Faculty of Integrated Development Studies (FIDS)
Authors: - Thoma A. Agana , - Beyuo Alfred naamwintome , - Michael Pervarah
Published: January 2025

Despite the numerous serious harmful consequences attributed to skin lightening outlined in medical and public journals, there is documentary evidence that many Ghanaians indulge in the practice. The main objective of the study was to assess the knowledge and perceptions of skin lightening among students of the Faculty of Integrated Development Studies (FIDS) of Simon Diedong Dombo University of Business and Integrated Development (SDD-UBIDS). The study adopted both quantitative and qualitative research designs. Qualitative data were gathered through in-depth interviews and presented using illustrative quotes, analyzed and interpreted in the form of narratives and descriptions based on the thematic areas. Quantitative data were gathered using questionnaires and analyzed using Statistical Packages for Social Scientist version 20 (SPSS v.20) and presented as charts, tables and percentages. The study revealed that 71% of respondents were unaware of the lethal chemicals and abrasive agents present in skin-lightening or bleaching products and the dangers they pose, while 29% were aware of these harmful constituents’ causes. Respondents were asked about the medium through which they learned about skin bleaching. Forty-two respondents cited the Internet as their source of knowledge. In comparison, 30 respondents mentioned friends, 23 referred to celebrity endorsements on radio or television, three noted billboards, and two indicated family. Hence, respondents use the products without question. Based on the findings, this study recommends that the University Counselling Unit should organise workshops on self-esteem, body positivity, and coping strategies that can empower students to navigate societal pressure and build resilience against negative self-perception.
The University Counselling Unit should organise workshops on self-esteem, body positivity, and coping strategies that can empower students to navigate societal pressure and build resilience against negative self-perception.
A study on Investors perception towards State Bank of India Mutual Funds Puducherry
Authors: - K.Lakshya , - S.Deepa
Published: January 2025

In India mutual funds plays a vital role in mobilizing funds for capital and financial markets. Mutual
funds are one in all the most effective investment choice out there to the small investors. A mutual fund
is a type of investment platform where it manages to collect investment from a lot of investors to buy
securities like stock, money market instrument, bonds and other assets because the investment firm
sector had developed, there’s been a growing acceptance by most policy holders that the assured come
era may be a factor of the past. Mutual funds are operated by professional money managers, who is
allocated the funds asset and to attempt to produce capital gains or income for the fund’s investors.
Mutual funds are a trust at law; it is a special type of financial service company.
The primary objective of the study is to assess investor’s perception towards SBI mutual funds, focusing
on factors influencing their investment decision and overall satisfaction. Using a combination of
qualitative and quantitative research methods, the study surveys current and potential investors to assess
their views on SBI mutual funds’ performance, management quality, risk – return profile, and customer
service. The research identifies key determinants of investor satisfaction, such as liquidity, higher return,
company reputation and fund performance.
Findings reveal that while SBI mutual funds are generally perceived positively for their reliability and
comprehensive service offerings, areas for improvement include fee structures and communication
clarity. The study provides actionable insights for SBI mutual funds to enhance investor relations and
optimize their product offerings.
A Study on Employees Branding in the Digital Age at Integra Software Services Pvt Ltd Puducherry
Authors: - Mathiarasi C , - Mrs.S.Deepa
Published: January 2025

In the digital age, employee branding has emerged as a strategic tool for organizations to enhance their reputation and competitiveness. This study explores the concept of employee branding at Integra Software Services Pvt. Ltd., Puducherry, with a focus on how employees contribute to shaping the organization’s digital identity. By examining the interplay between personal and organizational branding, the research investigates how employees' online presence, social media activities, and professional networks reflect and reinforce the company's values and culture. The study employs a mixed-methods approach, combining qualitative interviews with employees and quantitative analysis of their digital footprints. It identifies the key enablers of effective employee branding, including organizational support, training on digital etiquette, and alignment with corporate values. Additionally, the research highlights challenges such as maintaining authenticity, managing digital boundaries, and mitigating risks associated with inappropriate online behavior. The findings reveal that a robust employee branding strategy not only enhances Integra’s digital presence but also boosts employee engagement, job satisfaction, and talent retention. The study concludes with recommendations for implementing structured employee branding initiatives, leveraging technology, and fostering a culture of mutual trust and transparency in the digital landscape. This research underscores the critical role of employees as brand ambassadors and offers actionable insights for organizations aiming to thrive in the digital era.
Private Equity & its Impact on Consumers and Financial Landscape
Authors: - Vivaan Kandhari
Published: January 2025

This research delves into the transformative role of private equity (PE) in reshaping global financial and business landscapes. Through an exploration of its historical evolution, operational mechanisms, and economic impact, the study evaluates PE’s dual potential for growth and destabilization. Leveraged buyouts, a core strategy, are highlighted alongside case studies like Hilton's record-breaking turnaround and Toys “R” Us' bankruptcy. The paper critically examines PE's influence on employment, consumer welfare, and sustainability, proposing reforms to mitigate anti-competitive practices and enhance ethical operations. By balancing financial engineering with stakeholder inclusivity, the study underscores pathways for aligning PE with equitable and sustainable growth.
A Study on Market Analysis and Consumer Behavior in Del Monte
Authors: - Paul David. R , - Mr. T. Chandramohan
Published: January 2025

This study analyzes Del Monte’s position in the dynamic global food and beverage industry, exploring factors like changing consumer preferences, health trends, and market forces. It examines Del Monte's evolution from a canned food brand to a global leader in health-conscious, convenient, and sustainable products. By evaluating consumer behavior, purchasing motivations, and the impact of digital engagement, the research provides insights into brand loyalty, product development, and market trends. The study combines qualitative and quantitative methods to identify growth opportunities, competitive challenges, and effective marketing strategies. It aims to help Del Monte refine its offerings and maintain its competitive edge. Ultimately, it highlights the importance of adapting to evolving consumer demands and technological advancements.
Solving Fully Fuzzy Linear Programming Problem using Triangular Fuzzy Number by Gauss Jordan Elimination Method
Authors: - S.SARAVANAN , - P.ELUMALAI
Published: January 2025

In this paper presents a method for solving Fully Fuzzy Linear Programming Problems (FFLPP) using triangular fuzzy numbers (TFNs) and the Gauss-Jordan Elimination Method. The fuzzy coefficients in the constraints and objective function are represented as TFNs, capturing the uncertainty inherent in real-world data. The method involves defuzzification of the fuzzy numbers to convert them into crisp values, followed by the application of Gauss-Jordan elimination to solve the resulting system of equations. A numerical example demonstrates the effectiveness of this approach in providing optimal solutions for decision-making problems under uncertainty.
Examining the Stress of University Students - Factors and Coping Strategies
Authors: - MOHAMMED SWADIQ
Published: January 2025

ABSTRACT
Background: The incidence of stress among university students is well known, with reports suggesting that many slip into the moderate to severe range. In a study, for example, about two third of those involved experienced moderate stress particularly students suffering from chronic illness or going through academic issues. However, only chronic illness and academic pressure cannot be counted for students’ stress there are several other factors like parental expectations, finances, social relationships, relocation of campus, accessibility to resources, negative thinking pattern, overthinking, etc. A further statistics reveal that 66 percent of college students felt stress on a daily basis, with emotional strain being a primary reason for dropout.
Objectives: This research examines how students at the Central University of Andhra Pradesh perceive stress and the methods they employ to manage it. Additionally, the investigation aims to identify the various elements that contribute to stress among these university students.
Method: The current research uses cross-sectional design. To determine stress among students (N=114) Perceived Stress Scale (PSS10) was used. Later the scores of PSS10 were correlated with brief cope questionnaire to identify the coping strategies among the university students which fall into three categories: Problem focused, Emotion focused and Avoidant coping. Further an independent sample t test was established to determine the mean differences of stress among first year students (N=64) and final year students (N=50). The study also assessed the factors contributing to stress which can be classified into three separate tiers: Internal factors, External factors or Both.
Results: The relationship between perceived stress and Problem focused coping was r=-0.34 (p=.716) which was not statistically significant.
The relationship between Perceived stress and Emotion focused coping was r =.260 at 0.01 level (p<0.01) and was statistically significant
The relationship between Perceived stress and Avoidant coping was r= .349 at 0.01 level (p<0.01) and was statistically significant.
An independent-samples t-test was conducted to compare the perceived stress for first year students and final year students. There were significant differences (t (112) = -2.628, p = 0.10 in the scores with mean score for first year (M = 15.20, SD = 4.847) was higher/lower than and final year (M = 17.64, SD = 4.997)
25.4% of the students reported the internal cause of stress. 36.0% of the students reported external causes of stress. 19.3% of the students reported the cause of stress is both internal and external.
Conclusion: As perceived stress increases, students are not likely to engage in Problem focused coping instead they are more likely to use emotion and avoidant focused coping strategies. Moreover, the first-year students significantly experience lower stress than the final year students.
Study to Identify the Effect of Loop Inductance on the Lightning Impulse Waveform Evaluated Using IEC 60060-1 Ed. 3
Authors: - Rakesh Raman , - Sachindra Kumar Verma , - P. K Sharma
Published: January 2025

Loop Inductance plays a significant role in the generation of lightning impulse waveform. Loop inductance is formed as a part of the impulse generation and measurement circuit including connections, types of front resistors used, self-inductance of the components in the impulse generator including internal connection of the impulse generator. These additional inductances cause unwanted oscillations in the lightning impulse wave, and this has different impact with both load and the source capacitance used. The study aims at identifying the effect of loop inductance with different load and source capacitance and determine the relative overshoot parameter β’ using the IEC evaluation as per standard 60060-1 Ed 3. The study can help to identify the usage of correct components during the test of electrical equipment’s for basic insulation level using lightning impulse generator. A better understanding on effect of loop inductance can improve the operational efficiency of the generator and time utilization of QA/QC test engineers.
Deepfake Laws in India : A Critical Analysis
Authors: - Vishakha Periwal
Published: January 2025

Deepfakes, a form of synthetic media created using deep learning and AI, enable manipulating audio, video, or images to produce highly realistic yet fake content. These are typically generated using neural networks like generative adversarial networks (GANs) or autoencoders, which analyze existing data patterns, such as photos or videos of individuals, to replicate facial expressions, speech, and other characteristics. While deepfake technology has genuine uses in entertainment, its misuse poses serious threats, including spreading disinformation, fabricating news, and producing explicit or defamatory content without consent. In countries like India and the UK, the misuse of deepfakes has emphasized the need for legal frameworks that address privacy, data protection, and cybercrime risks. Although existing laws, such as India’s Information Technology Act, Indian Penal Code, and Bhartiya Nyaya Sanhita, cover certain aspects, they lack specific provisions for deepfakes. The issue has gained significant attention with notable cases of deepfakes targeting public figures and celebrities. This technology’s rapid development challenges data security, privacy, and intellectual property rights, raising concerns about political manipulation, identity theft, and defamation. While progressing, current detection technologies are still limited in effectively identifying deepfakes and suggesting measures; this study emphasizes the importance of legal reforms, proposing amendments to existing legislation, and creating new laws explicitly targeting deepfakes. Additionally, it advocates for advanced detection tools to help mitigate these risks. By combining legal and technical approaches, the study suggests that countries collaborate internationally to minimize the harmful impacts of deepfakes, establishing a robust regulatory environment that protects individuals and institutions from this growing cyber threat.
Uncovering the Power of Inquiry-Based Teaching; Enhancing Geometric Thinking Skills in Students
Authors: - Victus Kumazah , - Prof. Douglas Darko Agyei
Published: January 2025

Geometry is vital for developing critical thinking and problem-solving skills, yet students often struggle with geometric reasoning. This study explored the impact of an inquiry-based teaching approach on enhancing students’ geometric thinking levels, based on the van Hiele model. Conducted in two senior high schools in Ghana, the research employed a descriptive case study design and van Hiele geometry tests to assess students’ reasoning before, during, and after the intervention. Before the intervention, most students operated at lower van Hiele levels, with many at level 0 (pre-visualisation) and level 1 (visualisation), reflecting limited reasoning skills. The inquiry-based approach, rooted in constructivist theories, emphasised essential questioning, student engagement, cooperative interaction, and diverse resources. Results showed significant progress, with many students advancing to levels 3 (abstraction) and 4 (deduction). Retention tests confirmed sustained improvements. The findings highlight the effectiveness of inquiry-based teaching in fostering higher-order reasoning and long-term retention of geometric concepts. This study underscores the importance of active, student-centred pedagogies in mathematics education to enhance geometric thinking and improve academic outcomes.
Direct Benefit Transfer in India: Progress, Challenges, and the Path Forward
Authors: - R UMESH , - Dr. Y NAGARAJU
Published: January 2025

The Direct Benefit Transfer system has emerged as a transformative tool for streamlining welfare schemes in India, aimed at assuring that state subsidies and benefits reach the target beneficiaries in a transparent and efficient manner. Introduced in 2013, DBT leverages technology, particularly Aadhaar and bank accounts, to deliver financial assistance directly to the accounts of the beneficiaries, thereby reducing leakages, corruption, and delays. This paper examines the progress made by DBT, evaluates the challenges that have limited its full potential, and explores the path forward to enhance its implication on financial inclusion and welfare delivery. By reviewing secondary data, government reports, and case studies, the paper provides a comprehensive analysis of DBT's role in India’s socio-economic development, with policy recommendations to address the persisting gaps.
Buddha's Way and Modern Approach to Overcome Stress and Anxiety
Authors: - MYO THEIN
Published: January 2025

The paper highlights that Buddhist management-meditation is better than modern management in treating Stress and Anxiety disorders
Arrangement of working time on practice & preparation of competitive exams with working time; A descriptive study
Authors: - Supriya Chinnam , - Aruna Shailesh Lele
Published: January 2025

BACKGROUND Competitive exams are pursuable to all Indian nurses as staff nurses, clinical instructors, or in educational sectors. Subsequently, working time also plays a huge role in every Indian, especially in nursing professionals. Nursing staff and tutors have to maintain peacefulness in their working are mean job field and on the other hand keep time for preparing for career upgrades. Poor time management in the health care system has a significant effect on an individual such as imbalance, job dissatisfaction, work ineffectiveness, and finally poor productivity of the organization and individuals. Aim: The main aim of the study was to determine the time management skills among staff nurses and nursing tutors. Balancing working hours and preparation for competitive exams. Objectives:  To assess the requirement for arranging the working time among staff nurses.  To assess the requirements for arranging the working time among faculties at nursing colleges.  To associate the effectiveness of the arrangement of work time on practice & preparation with selected time management factors.  To assess the usefulness of working time arrangements among those who are preparing for competitive exams. Design: This study was used a cross-sectional survey design was adopted for the study. Setting: Nursing staff elected from SAIMS Hospital and Sciences and Tutors from IIMS College of Nursing. Participants: A total of 60 samples, 30 nursing staff and 30 nursing tutors fulfilling the inclusion criteria were by non-probability convenient sampling technique. Methodology: Facility-based the tool consisted of two subsections, section-I- demographic data, and section-II – Likert scale rating according to the time management sheet. According to different shifts of nursing staff, and constant timings of tutors. The average time taken by the participants to fill the rating scale was 20-25min. Results: A total of 60 employees participated in the study, with a response rate of 94.8%. The results showed that the overall majority of nursing staff, 47%, arranged their working times properly with the working timings, 45% of tutors arranged along with the working timings, and a smaller number of 8% of participants did not properly arrange their timings, as measured in a Likert scale. Conclusion: In conclusion, including all the above findings with many factors, major participation arranging their timings for preparing the competitive exams along with working timings but, mainly the results can describe the staff nurses having more time than nursing tutors for preparing competitive exams. Due to the timings of work staff nurses have 6 hours of working time and the nursing staff has 8 hours times for work. Even not very much difference in managing of timings for preparation for both participants.
Innovative Application of Linear Accelerators (LINACs) for Flood Management and Agriculture in India
Authors: - Aarna Chopra
Published: January 2025

India frequently faces severe flooding, which disrupts agriculture, displaces communities, and causes significant economic losses. Existing flood management systems often lack integration with agricultural needs, leading to inefficiencies. This paper explores the innovative use of linear accelerators (LINACs) to design a device that combines flood management with agricultural benefits. By harnessing LINAC-generated energy to control water movement, the proposed solution mitigates flood damage and enables controlled irrigation, potentially transforming water management systems. This novel approach promises enhanced efficiency and societal impact, addressing two critical challenges in tandem.
A Study on Talent Management Practices and Organisational Performance at Hindustan Unilever Puducherry
Authors: - Logesswari S , - Vinoth A
Published: January 2025

This study examines the relationship between talent management practices—recruitment, development, retention, and performance management—and organizational performance at Hindustan Unilever Limited (HUL), focusing on blue-collar employees. Employing probability sampling with 120 participants and statistical analyses (regression, correlation), the findings reveal that effective talent management significantly boosts engagement, satisfaction, and performance. Demographic factors like age, marital status, and dependencies also influence outcomes. The study highlights aligning HR strategies with organizational goals to optimize workforce potential and drive productivity.
Evaluation of Breast Lesions by Fine Needle Aspiration Cytology at Dhiraj Hospital
Authors: - Dr. Jasmin Jasani , - Dr. Monika Patel , - Dr. Khushbu Patel , - Dr. Riddhi
Published: January 2025

ABSTRACT
Introduction: Fine needle aspiration cytology (FNAC) is very useful technique and routinely done on palpable lesions and it can be used on all organs of the body as a diagnostic procedure.
For preoperative diagnosis of breast lesions, triple approach technique is used and in this FNAC is one of the most important technique1.
The main purpose of FNAC of breast lesions is in the investigation of any palpable lump and to avoid unnecessary surgery in specific benign conditions. The advantages are- it provides rapid and accurate diagnosis, is therapeutic as well as diagnostic in many cystic conditions.
Materials and methods: The study was Community based cross sectional study and was carried out at pathology department of SBKS MI & RC over a period of 18 months from January 2019.
Results: The C2 category of 60 benign cases consisted of 20 (majority) cases of fibroadenoma, 3 case of phyllodes tumor, 15 cases of benign proliferative breast disease, 1 case of fibrocystic breast disease, 7 cases of inflammatory lesions and 3 case of intraductal papilloma. Out of 5 cases of gynecomastia, 4 cases were benign and 1 case was malignant (intra cystic papillary carcinoma) which confirmed by histopathology.
The C5 category of 32 malignant lesions consisted of 31 cases of infiltrating duct carcinoma- NOS type and 1 case of infiltrating duct carcinoma with medullary type.
Conclusion: The study was 100 % sensitive in the diagnosis of malignant lesions. The higher incidence of malignant breast lesions with aged group 41– 60 years of patients. The C2 category of 60 benign cases consisted of 20 (majority) cases of fibroadenoma. The C5 category of 32 malignant lesions consisted of 31 cases of infiltrating duct carcinoma- NOS type.

Keywords: FNAC (Fine Needle Aspiration Cytology), Breast lesions