bluuebunny/crossref_metadata_2025 huggingface dataset:
AI-Driven Cyber Risk Simulation for Security Posture Management in Financial Systems
Authors: - Mithilesh Ramaswamy
Published: January 2025

Financial systems are prime targets for sophisticated cyberattacks due to their critical role in global economies, high-value assets, and vast amounts of sensitive data. Traditional security posture management methods struggle to proactively identify risks across these interconnected networks. This paper proposes an AI-driven cyber risk simulation tool specifically designed for financial systems, which models potential attack paths and simulates "what-if" scenarios. The tool leverages advanced AI techniques to analyze misconfigurations, vulnerabilities, and missing controls, assessing their impact on critical assets. By dynamically adapting to evolving threats, the system prioritizes risks and provides actionable insights for improving security posture. Through the integration of AI, financial institutions can proactively mitigate threats, comply with regulatory requirements, and ensure the integrity of their operations.
Designing an Investor 360 Framework A Data-Driven Approach for Enhanced Client Prospecting
Authors: - Sandeep Yadav
Published: January 2025

The venture capital (VC), private equity (PE), and corporate venture capital (CVC) ecosystems are complex, with multifaceted relationships involving startups, general partners (GPs), limited partners (LPs), funds and other stakeholders. This research introduces the Investor 360 Framework, a data-driven solution designed to enhance client prospecting and relationship management for financial institutions. Leveraging external data from sources like PitchBook, Crunchbase etc. the framework integrates fundraising activity, board memberships, GP/LP relationships, and AUM/dry powder metrics with internal CRM, transactional, and financial data.
The framework identifies referral opportunities, prioritizes high-value clients, and maps stakeholder relationships to offer targeted financial services, including wealth management, private banking, and corporate advisory. It employs advanced analytics, segmentation, and machine learning to uncover actionable insights and deliver personalized engagement strategies. Interactive dashboards visualize key metrics, such as market share, wallet share, and fundraising trends, enabling relationship managers to make informed decisions.
The results demonstrate significant improvements in prospecting accuracy, client engagement, and cross-selling opportunities. By addressing the diverse needs of startups, PE/VC firms, and their stakeholders, the Investor 360 Framework offers a comprehensive approach to building and maintaining relationships in the venture ecosystem, driving business growth and maximizing value for financial institutions.
Streamlining Regulatory Reporting with CCAR Acceleration
Authors: - Balaji Ethirajulu
Published: January 2025

The financial industry has a highly regulated environment, with increased scrutiny and stringent compliance policies. Stress testing and capital planning are key regulations that large US banks must undertake through the Comprehensive Capital Analysis and Review (CCAR) procedure. Financial
companies are looking for innovative ways to automate regulatory reporting and remain compliant in this new world. Using artificial intelligence, machine learning, automation, and other cutting-edge technology, financial institutions will be able to achieve a significant increase in the accuracy, timeliness, and
transparency of their regulatory filings. This post focuses on some of these technologies’ use cases, challenges and opportunities around deploying them, and practical advice on how to make regulatory reporting as effective as possible. By adopting these technological changes, banks can build better risk
management capabilities, lower operational costs, and better connections with regulators.
Integrating GIS with Natural Language Processing for Location-Based Insights
Authors: - Kirti Vasdev
Published: January 2025

This paper explores the integration of Geographic Information Systems (GIS) with Natural Language Processing (NLP) to extract location-based insights from textual data. GIS provides spatial context while NLP processes unstructured data to gain meaningful information, enabling a wide range of applications from urban planning to disaster management. The paper reviews existing methods, presents case studies, and discusses the challenges and opportunities in this field. It also provides a conceptual framework for the integration of GIS and NLP, with examples of real-world applications.
Securing Phone Numbers as the Most Widely Used Member Identifier: Preventing Fraud in Retail Transactions Through Advanced Authentication Methods
Authors: - Mithilesh Ramaswamy
Published: January 2025

Phone numbers are one of the most widely used member identifiers in retail loyalty programs due to their accessibility and simplicity. However, their use introduces significant security vulnerabilities, including unauthorized access, account takeovers, and phishing attacks. These vulnerabilities are particularly detrimental in retail transactions, where loyalty points and customer data are attractive targets for fraudsters. This paper examines the risks associated with phone numbers as identifiers and proposes a comprehensive framework to mitigate fraud in loyalty programs. The framework integrates advanced authentication techniques, such as Near Field Communication (NFC), Multi-Factor Authentication (MFA), and One-Time Passwords (OTPs), with real-time transaction monitoring and behavioral analytics. By implementing these measures, organizations can reduce fraud, protect customer trust, and maintain the integrity of retail loyalty programs. The paper also references recent statistics on retail identity theft, supported by academic research, to demonstrate the urgency of implementing robust security frameworks.
How to Build 0-1 Platforms in Ecommerce: A Scalable Approach
Authors: - Ridhima Arora
Published: January 2025

Building a scalable e-commerce platform requires a thoughtful approach that focuses on flexibility, efficiency, and user experience. This paper highlights key strategies for developing platforms that can grow with business needs. It explores the importance of separating front-end user experiences from back-end systems, enabling consistent and personalized interactions across channels.
The paper also discusses effective methods for scaling platforms to handle increasing demands, ensuring performance and reliability remain intact. By leveraging cloud-based solutions and streamlined development processes, businesses can create platforms that are both robust and adaptable. This guide offers practical insights to help businesses build e-commerce solutions that support long-term growth and deliver exceptional customer experiences.
Understanding the Impact of Phishing Attacks on Organizational Security and Trust
Authors: - Abdel Saeed I. Sahidjuan , - Merjina A. Amin , - Lina I. Ahaja , - Armilyna A. Ahog , - Raina T. Ladjahasan , - Rima K. Jul , - Nerhana J. Radjail , - Benczar J. Sayadi , - Aljimar J. Sarabi , - Dr. Shernahar K. Tahil
Published: January 2025

Phishing attacks represent a significant and evolving threat to organizational security and trust. This study explores the multifaceted impact of these deceptive tactics, moving beyond the immediate consequences of data breaches to examine the long-term repercussions on an organization's reputation, stakeholder relationships, and overall financial stability. We analyze the various techniques employed by phishers, ranging from mass-distributed emails to highly targeted spear-phishing campaigns designed to exploit specific vulnerabilities within an organization. The research investigates the direct costs associated with data breaches, including financial losses, regulatory penalties, and legal repercussions, as well as the indirect costs stemming from operational disruptions, loss of productivity, and damage to brand reputation.
The study highlights the crucial role of human factors in the success of phishing attacks, emphasizing the importance of employee training and awareness programs in mitigating the risk. We examine the effectiveness of different training methodologies, comparing traditional awareness campaigns with more interactive and engaging approaches such as simulated phishing exercises. Furthermore, the research explores the importance of robust security protocols, including multi-factor authentication, strong password policies, and advanced email filtering, in preventing successful attacks. The analysis also considers the critical role of incident response planning, emphasizing the need for clear procedures to detect, contain, and recover from phishing attacks.
Our findings underscore the need for a holistic and proactive approach to cyber security, combining technical safeguards with a strong focus on human factors. The study concludes that effectively combating phishing requires a continuous cycle of improvement, adaptation, and vigilance, encompassing regular security awareness training, ongoing updates to security protocols, and proactive collaboration within the industry to share best practices and lessons learned. By adopting a comprehensive and adaptive approach, organizations can significantly reduce their vulnerability to phishing attacks, safeguarding their security, preserving their reputation, and maintaining the trust of their stakeholders.
Optimized VLSI Architectures For AI-Enabled IoT Systems
Authors: - Bushra Fatima Masih , - Mohammed Nomaan
Published: January 2025

The integration of AI in IoT has revolutionized industries through the development of intelligent decision-making and automation. However, the deployment of AI is limited by the power, computational capacity, and cost of IoT devices. VLSI architectures help to meet these challenges through compact, low power consumption, and high-performance hardware solutions. This paper focuses on the advancements in VLSI architectures for AI in IoT, low-power design techniques, hardware accelerators, neuromorphic computing, and approximate computing. The challenges, design considerations, and future trends are discussed to present a comprehensive understanding of how VLSI enables efficient and intelligent IoT systems.
Moidam of Dasarath Bohikhowa Barphukan in Khowang, Dibrugarh, Assam
Authors: - Sajmina Akhtar , - Punu Sonowal
Published: January 2025

This work on Moidam of Dasarath Bohikhowa Borphukan in Khowang of Dibrugarh district aims to explore the History and contribution of the official towards Ahom society. Dasarath Bohikhowa Borphukan was holding the office of Barphukan in Lower Assam with its the head office in Guwahati. His Moidam is located in the area of Khowang Tea Estate of Dibrugarh District. Besides’Charaideo’, the royal burial place of Ahom dynasty several Moidams are found in Upper Assam and one of those is the Moidam of the above mentioned official. It is worth to mention here that the ‘Moidam’ is an entombment system of the Tai-Ahom where they placed their deceased ancestors over the ground which are also known as ‘Pyramids of Assam’. The study is based on secondary data only. The secondary data has been collected from published books, articles published in books or magazine, internet etc. Besides, field observation and interview tool are used to collect some data from local people.
Autonomous Underwater Probe for Chemical and Gas Detection
Authors: - Dr Anil V Turukmane , - Kaivalya Khavane , - Yashas Gujjar , - Manas Bafna , - Onkar Chavan , - Shreyash Thete
Published: January 2025

The necessity for real-time, autonomous monitoring of gas and chemical levels in aquatic environments is increasing due to water quality concerns linked to industrial activities and environmental health. This research outlines the design and
preliminary testing of an autonomous underwater probe (AUP) equipped with gas and ultrasonic sensors, alongside control components like the ESP-32 and Arduino Uno. The probe's capabilities in real-time data transfer, adaptive navigation, and energy efficiency offer a scalable, low-cost solution for continuous environmental monitoring. Results from field testing indicate promising detection capabilities, with identified areas for
improvement in both durability and extended operation.
The Influence of Brand Experience, Paylater Features, and Electronic Word of Mouth on Purchase Decision
Authors: - Ryan Sulistiawan Haryanto , - Budi Suprapto
Published: January 2025

This study aims to analyze the influence of Brand Experience, Electronic Word of Mouth, and Paylater Features on Purchasing Decisions. This study uses purposive sampling with a valid sample of 281 respondents. The respondents were selected based on certain criteria, namely respondents are social media users, have used an iPhone, and have bought an iPhone from reading reviews on social media. The analysis technique used in this study is SEM-PLS with the help of the SmartPLS 3 application. The results of the first hypothesis test show that e WOM is proven to have a significant influence on purchasing decisions. Furthermore, brand experience has proven to have a significant influence on purchasing decisions. Finally, paylater features are proven to have a significant influence on purchasing decisions.
Comparison of TextBlob and Custom Spelling Correctors for Grammar Autocorrection
Authors: - Shivam Narlawar , - Shruti Patil , - Vedant Natu , - Sharad Mudholka , - Dumne R. S
Published: January 2025

This paper presents a comparative analysis of TextBlob, a popular grammar correction tool, and a custom-developed spelling correction module integrated into a Grammar Auto-corrector system. The primary goal is to assess the performance of both models in correcting spelling and grammatical errors using a dataset of 1,000 sentences, each containing a mixture of common language errors. The study evaluates key performance indicators, including accuracy, precision, and recall, to determine which model provides more contextually accurate corrections. Results show that the custom model, built on advanced transformer-based architectures, surpasses TextBlob in all metrics, achieving a higher accuracy rate (91% vs. 85%) and better handling of complex grammatical structures. Additionally, the paper explores potential improvements for the custom model, such as enhancing its ability to process text in real-time, expanding support for multiple languages, and addressing challenges in recognizing idiomatic expressions. Overall, this study demonstrates the benefits of using deep learning models for more effective grammar correction, suggesting avenues for future research and development in this area.
Plant Diseases Classification
Authors: - Sahana R , - Radhika Relekar , - Srustisingh DT , - S.Firoze Ahamed , - Prasad PS
Published: January 2025

This project aims to create an effective deep learning model for classifying plant diseases using image data from the PlantVillage dataset. The primary objective is to accurately detect different plant diseases and identify healthy plants, aiding in agricultural monitoring and decision-making. The dataset comprises labeled images of plants with diseases affecting crops such as tomatoes, peppers, and
potatoes.
A Convolutional Neural Network (CNN) serves as the foundation for this image classification task, implemented using the TensorFlow and Keras libraries. The workflow involves preprocessing the data,dividing it into training and testing subsets, and training the model using categorical cross-entropy as the loss function. The model achieves a high accuracy of 96% when tested on a dataset of 2,065 images. Additional evaluation metrics, including precision, recall, and F1-score, highlight the model's reliability, particularly in detecting diseases This classification system provides a practical solution for early disease detection, contributing to reduced crop losses and improved agricultural outcomes. Future work could involve leveraging transfer learning, deploying the model in real-world scenarios, and extending its application to other crops and
diseases.
The Impact of Cognitive Biases on Consumer Decision-Making in Online Shopping: Analyzing the Role of Social Proof and Scarcity Messaging
Authors: - Dr. Tusharkana Majumdar
Published: January 2025

In the last few years, consumer behavior, online shopping, and their decision-making have been of great interest to many advertising and marketing professionals. The present paper tried to identify the role of two cognitive biases (social proof and scarcity messaging), that have an impact on the consumer's mindset and end up buying the product. These biases often deviate from rational decision-making processes and can significantly influence consumer behavior. The psychological aspect, behavior, and mindset are crucial in understanding consumer behavior. A small survey on online shopping and cognitive biases was done through Google Forms. Finally, this research paper provides insights for consumers to understand marketing strategies and buy according to their needs and not under the influence of cognitive biases.
DESIGN AND OPTIMIZATION OF FOLDABLE ELECTRIC SKATEBOARD
Authors: - Kaveri Katake , - Siddhesh balkawade , - Altmash shaikh , - Akash Zanje , - Pankaj karande
Published: January 2025

This project presents the design and optimization of a revolutionary Rechargeable foldable electric skateboard, focusing on enhanced portability, performance, and sustainability, flexibility combining innovative materials, electronics, and advanced sustainable energy solutions. The skateboard features a compact, lightweight, and durable design, allowing for effortless folding and storage and can be utilised in peak rush hours in cities. Equipped with high-torque motors, rechargeable battery this skateboard provides a thrilling riding experience while minimizing environmental impact. It also considers the environmental protection because it is highly Environmental friendly which ensures that no use of fuels and no pollution takes place.
The Rise of Virtual Influencers: A Paradigm Shift in Marketing
Authors: - Vansh Bansal
Published: January 2025

The aim of this research paper is to analyze the growth of virtual influencers in the marketing sector and how it has been advantageous for businesses. To find the applicable journals and articles for the research paper was used. The data was generally taken from the United States and some parts of Europe. Virtual influencers are computer-generated virtual avatars that are used for various purposes by brands. They are used as models, mascots and even as social media influencers who would promote their brands. For example KFC’s VI the younger version of Colonel Sanders successfully boosted the brand engagement by interacting with people on social media platforms like Tiktok and Instagram. Through humor and collaborations, KFC was finally able to grab the attention of younger, tech-savvy audience. This campaign increased their social media interaction and sales making KFC set apart from the fast food industry. In conclusion, brands shifting from human influencers to virtual influencers can be considered a smart move in terms of making brand successful. However, this trend increased job losses and the possibility of AI taking over the jobs of human workers.
A Study on Redesigning rewards for improved Perception, Fairness and Loyalty
Authors: - S Suretha , - S Deepa
Published: January 2025

This project explores the redesign of reward systems at Aavin, a Tamil Nadu-based cooperative, to enhance employee perception, fairness, and loyalty. Recognizing the critical role of an equitable reward system in shaping employee motivation, job satisfaction, and organizational success, the study focuses on aligning rewards with diverse workforce expectations. Leveraging theories like Equity Theory and Self-Determination Theory, it examines how monetary and non-monetary incentives impact performance, loyalty, and morale. Through comprehensive surveys and statistical analysis, the project identifies gaps in Aavin's current reward system, including issues of transparency, fairness, and role-specific needs. Findings suggest that while employees generally perceive the reward system as flexible and supportive, significant challenges remain in linking rewards to innovation, work-life balance, and long-term objectives. Recommendations include introducing personalized reward mechanisms, fostering a culture of recognition, and enhancing professional development opportunities. By addressing these gaps, Aavin can strengthen employee engagement, reduce turnover, and achieve sustained operational efficiency
Open Label Controlled Clinical Study To Evaluate The Efficacy Of Kalingadi Taila Nasya And Vyoshadi Vati In The Management Of Kaphaja Prathishyaya W.S.R To Chronic Rhinosinusitis
Authors: - Mamatha K.V , - Sushobhitha
Published: January 2025

Chronic rhinosinusitis (CRS) is a prevalent condition characterized by persistent inflammation of the nasal and sinus mucosa lasting for at least 12 weeks. It is associated with significant morbidity, affecting quality of life and causing symptoms such as nasal obstruction, facial pain, and postnasal drip. National Institute of Allergy and Infectious Diseases (NIAID) estimates 1 in 8 Indians hit by chronic sinusitis. CRS has metaphorical features with Kaphaja Pratishyaya explained in Ayurvedic classics. Nasya karma which is proven to be useful in Urdhwajatrugata Vikaras it is chosen as a chief treatment along with oral medications in reversing the pathophysiology. Objectives: To evaluate the therapeutic efficacy of Kalingadi taila Nasya and Vyoshadi vati in the management of Kaphaja Pratishyaya w.s.r to Chronic Rhinosinusitis. To compare the therapeutic efficacy of Vidanga taila Nasya and Kalingadi taila Nasya in the management of Kaphaja Pratishyaya w.s.r to Chronic Rhinosinusitis. Methods: Total 100 subjects with clinical features of Kaphaja Pratishyaya W.S.R to Chronic Rhinosinusitis coming under inclusion criteria approaching OPD and IPD of Shalakya Tantra, SDMIAH, Bengaluru were screened and randomly assigned into two groups i.e., Group A (Control Group) and Group B (Trial Group), each comprising minimum of 50 patients who completed the study. Results: In both clinical and objective evaluations, results were encouraging in both the groups. Clinical assessment of Rhino sinusitis was found statistically significant with Kalingadi Taila Nasya than Vidanga Taila Nasya in Clinical features of Chronic Rhinosinusitis like Nasal discharge Nasal Obstruction, Heaviness of Head, Dull facial pain and Headache.
Industry 4.0, Sustainability, and Government Policies: Pathways to Achieving SDG 2030 and Viksit Bharat@2047
Authors: - Rupali Saini
Published: January 2025

India’s ambitious vision of becoming a developed nation by 2047, i.e. Viksit Bharat@2047, aligns with its commitment to global sustainability objectives, including the United Nations’ Sustainable Development Goals (SDGs) for 2030. This paper explores the intersection of Industry 4.0 and Government of India policies, highlighting their role in driving sustainability and digital transformation in Indian industries. Through a qualitative review of policy documents, industry reports, and academic literature, this study examines the adoption of Industry 4.0 technologies and their alignment with initiatives such as 'Make in India', 'Digital India', 'Samarth Udyog 4.0. and others. The findings suggest that a strategic alignment of policies with Industry 4.0 initiatives can significantly contribute to India's sustainable development agenda. This paper also discusses challenges, opportunities, and future directions for sustainable industrial growth in India.
A study on lending and recovery of agriculture loan practices at PACCS
Authors: - T Deepika , - Mr.R.Anbarasan
Published: January 2025

This study aims to explore the lending and recovery practices of Primary Agricultural Credi Cooperative Societies (PACCS), focusing on their impact on financial health and performance. The primary objective is to evaluate the overdue loans, their influence on the overall financial status of PACCS, and the measures taken by these institutions to recover such loans. The research investigates how overdue loans affect the liquidity, solvency, and profitability of PACCS, and the consequences of high loan default rates on their ability to operate sustainably. Additionally, the study examines the various recovery methods employed by PACCS, such as follow-ups, legal actions, and cooperative community-based interventions, assessing their effectiveness in reducing non-performing assets.
A key component of this study is the evaluation of the factors leading to loan defaults, which can include borrower reluctance, external economic factors, and ineffective recovery strategies. By analysing these factors, the study identifies patterns in lending that contribute to financial instability within PACCS. Furthermore, it assesses the role of financial education and advisory services provided to borrowers as a potential means to reduce defaults and enhance repayment rates. Based on the findings, this study provides a set of recommendations aimed at improving lending procedures, strengthening recovery practices, and ensuring that PACCS remain financially healthy and sustainable. These recommendations could involve the implementation of more robust credit assessments, better borrower engagement programs, and the adoption of technology-driven solutions for monitoring loan performance and recovery. Through this comprehensive analysis, the study seeks to contribute to the development of more effective lending practices in rural credit institutions, promoting financial inclusion and rural economic development.
New Approach to Fuzzy Logic Techniques in Two Space Game Theory
Authors: - M. MUNIYAPPAN , - P.ELUMALAI , - K.THIRUSANGU
Published: January 2025

In this paper, a new approach is proposed to solve the games with imprecise entries in its payoff matrix. All these imprecise entries are assumed to be trapezoidal fuzzy numbers. Also the proposed approach provides fuzzy optimal solution of the fuzzy valued game without converting to classical version. A numerical example is provided.
The Role of Information Assurance in Addressing Emerging Threats in Cybercrime
Authors: - Rosalyn I. Abdugafar , - Nur-Afheca A. Araji , - Mohammar I. Ahadin , - Ruhina S. Alibbon , - Zaynab V. Ahmad , - Joycelyn S. Askalani , - Nurfaida S. Amang , - Raiba B. Jamirul , - Madilyn A. Jammang , - Kenraizer H. Jumadil , - Shernahar K. Tahil , - Nureeza J. Latorre
Published: January 2025

This qualitative study explores the role of information assurance in addressing emerging threats in cybercrime. The general objective of the study is to examine how information assurance practices are implemented within organizations to mitigate risks posed by evolving cyber threats. A phenomenological approach was employed, using in-depth interviews with cybersecurity professionals and organizational leaders to gather insights into their experiences and perceptions. Key findings revealed that proactive information assurance strategies, such as regular training, risk assessment protocols, and multi-layered security measures, are critical in combating cybercrime. Additionally, the study highlights the challenges organizations face in maintaining updated security practices due to resource constraints and the fast pace of technological advancements. The implications of the study emphasize the need for continuous improvement in cybersecurity measures and the importance of fostering a culture of security within organizations. This research contributes to the body of knowledge on cybersecurity and information assurance by providing practical insights into effective strategies for mitigating emerging cyber threats.
Factors Affecting the Severity of Arrest Measures: A Study of Biases in Law Enforcement
Authors: - Maui Jeane S. Fernandez , - Marc Joshua S. Meneses , - Rafael T. Guevarra , - Rhem Rick N. Corpuz
Published: January 2025

This research explores the factors that shape law enforcement practices during arrests, with a focus on understanding the potential biases and disparities in arrest procedures. Specifically, it examines the impact of an individual’s gender, type of offense, location of arrest, and prior criminal record on the intensity of force, types of restraints, and duration of detention applied by law enforcement officers. A correlational research design was employed, with quantitative data collected from 124 respondents in Angeles City to identify relationships between these variables. The findings revealed that gender, type of offense, and prior criminal records significantly influenced arrest severity, with male suspects generally experiencing more stringent measures compared to females, who were treated more leniently. Violent crimes were associated with harsher arrest procedures, including stronger restraints and longer detentions. Additionally, individuals with prior criminal records faced stricter measures, highlighting the role of criminal history in shaping law enforcement practices. The study also identified that arrests were more frequent in certain barangays, particularly Balibago, where the location of arrest correlated with both the nature of the crime and the severity of treatment. These findings provide important insights into the factors contributing to variations in arrest practices and suggest recommendations for improving fairness and equity in law enforcement procedures.
A Study of Factors Influencing Financial Independence of Working Women
Authors: - Monica Mercy B , - S Deepa
Published: January 2025

Factors Influencing Financial Independence of Working Women delves into the various elements shaping the economic autonomy of women in the workforce. It highlights the critical role of financial independence in empowering women, allowing them to take control of their lives and make autonomous decisions. This study aimed to investigate the multifaceted factors influencing the financial independence of working women. Research objectives included assessing their current financial status and challenges, identifying key influencing factors, exploring the impact of financial independence on their quality of life, and developing strategies for empowering their financial well-being.
Structural barriers such as wage gaps, workplace discrimination, and the disproportionate burden of unpaid care work hinder their professional growth and financial stability. Societal norms and cultural expectations further limit career choices and economic participation, while inadequate access to education, skill development, and financial literacy perpetuates dependency. The research underscores the significance of supportive workplace policies, including equal pay, maternity benefits, and flexible work arrangements, in fostering economic independence. Personal attributes like confidence and risk-taking ability play a pivotal role in financial decision-making. This study emphasizes the need for targeted interventions, policy reforms, and societal support to address these barriers. Achieving financial independence for working women is not only a step toward gender equity but also a cornerstone for inclusive and sustainable socio-economic progress. research is necessary to explore the specific factors contributing to financial security and the effectiveness of flexible work arrangements in improving women's financial independence.
Exploring Advanced Techniques in Artificial Intelligence for Environmental Monitoring and Climate Change Management
Authors: - Chalamalla Nikhitha Reddy
Published: January 2025

Environmental monitoring is crucial for addressing climate change impacts, demanding innovative approaches for better prediction and management. This study explores advanced artificial intelligence (AI) techniques beyond traditional models like CNNs and LSTMs. It incorporates generative adversarial networks (GANs) for augmenting sparse datasets, ensemble learning for robust predictions, and explainable AI (XAI) to enhance model transparency and usability. GANs address data scarcity by generating synthetic, high-fidelity environmental data, while transformer-based architectures improve long-term climatic forecasts. Ensemble methods demonstrate superior accuracy in predictions, reducing mean squared error by 15% compared to traditional models. Reinforcement learning (RL) optimizes adaptive climate strategies by analyzing dynamic environments in real-time. These approaches collectively enhance the precision, interpretability, and scalability of AI-driven environmental monitoring systems. Future research should explore federated learning and quantum computing to further advance computational efficiency and accessibility. This study highlights AI's transformative potential in fostering proactive and data-driven climate resilience
The Battle of Narratives: The Role of Media in Shaping Manipur's Conflict.
Authors: - Surjakanta Koijam
Published: January 2025

This paper is divided into two parts; the first deals with the origin of the conflict, and the second investigates how the media plays a significant role in explaining the ethnic strife and sway public opinion at the national level. The time frame of this study is that one particular incident occurred on May 4th. This paper analyses the coverage of newspapers at every level, i.e. local (The Sangai Express), national (The Times of India ) and international (Aljazeera). It evaluates the narratives set by different people. Narratives refer to retelling an event or a happening that is not mutually exclusive. Depending on the individual's community, one party or an individual may have a different narrative of the same event in a conflict. In a conflict, one side's narrative is not necessarily identical to the narrative of the other side (Dajani et al., 2013). So, the title is self-explanatory in the sense that this article critically evaluates the different narratives that are linked up with the ethnic conflict and decode the media narratives.
Female labour in Construction sector during the COVID-19 Pandemic: Challenges and Strategies
Authors: - Dr. Srinidhi C
Published: January 2025

Empirical gender focuses on how men and women are differently affected by and affect the political economy. The COVID-19 epidemic will inevitably result in changes and difficulties in the workplace. According to preliminary data, women would be disproportionately impacted by the pandemic in comparison to men. Emphasising the female workforce in construction sector, this investigation looks at the difficulties brought on by modifications in their work circumstances, the tactics they used to deal with the difficulties, and their viewpoints examines the employment status of female employees throughout the pandemic. The outcomes reveals that the following issues rank highest: (i) being overworked; (ii) working space; (iv) teamwork; (v) parenting; and (iii) social connections. The tactics that are most frequently mentioned to overcome these obstacles are: (i) more visual communication; (ii) a committed workplace; (iv) flexible work schedules; (iii) self-scheduling; and (v) breaking separating personal time from business time.
A study on leadership development and succession planning at Hindustan Unilever Limited, Pondicherry
Authors: - JANANI.A , - RAMYA.G
Published: January 2025

Leadership development and succession planning are critical components of organizational sustainability and growth. Effective leadership ensures that organizations are agile, responsive to change, and capable of navigating challenges in dynamic environments. Succession planning, on the other hand, ensures the continuous leadership pipeline, mitigating the risks associated with leadership gaps and enhancing organizational resilience. This study explores the relationship between leadership development programs and the succession planning process, highlighting their role in identifying, nurturing, and retaining leadership talent. Through a review of best practices, case studies, and key organizational theories, the research demonstrates how structured leadership development initiatives can facilitate smoother transitions and improve long-term performance.
Understanding the Awareness of Mental Health Care among the Marine Engineers in Mumbai
Authors: - Harshana Uchil Kuveskar
Published: January 2025

The current research paper focused on understanding the awareness of mental health care among the marine engineers in Mumbai. The study examined male marine engineers (N=6) in the age group of 29 to 31 years old, through a Qualitative study using focused group case study method and discussed about the mental health awareness and need for being mentally healthy among the marine engineers. The analysis found that the motivating factor for the marine engineers is the pay they receive at the end of the month. It was also seen that the shipping companies do not pay a lot of attention to Employees’ Mental Health. However, out of the 6 individuals interviewed, one individual belonged to a shipping company that would provide psychometric assessments to its employees before they would go on ship. Here, if they did not meet the criteria of the psychometric assessments, they weren’t allowed on the ship, instead they would be provided with counseling. While on board if the employee would feel emotionally disturbed and if that’s affecting their work, they would be asked to sign off. On their arrival the company would provide them with some counseling session by a trained counselor. Further analysis also pointed out that providing mental health training to the seniors on the ship would really help maintain a good healthy working environment on board. As a further research, industrial organizational intervention study is needed in the field to understand the impact of mental health intervention on marine engineers.
Cryptocurrency: The Decentralised System of Financial Transactions
Authors: - Cheni Sailaja , - G. Aakanksha
Published: January 2025

This paper mainly focuses on decentralised system of financial transactions and it's growth in the world
NEP 2020: CHALLENGES AND OPPORTUNITIES
Authors: - Dr. Jaswinder
Published: January 2025

The National Education Policy (NEP) 2020 is a comprehensive policy document that outlines the vision and roadmap for the development of education in India over the next few decades. NEP 2020 include the focus on early childhood education, the integration of vocational education with mainstream education, the promotion of multilingualism, the use of technology for learning, and the creation of a National Research Foundation to fund and promote research in education. The policy also aims to improve the quality of teacher education, increase the use of online and blended learning, and create a more student-centric and flexible education system. However, the implementation of the NEP 2020 presents several challenges, such as the need for substantial investment in education, the lack of adequate infrastructure and resources, the shortage of trained teachers, the challenge of providing quality education in remote and rural areas, and the need for effective collaboration between various stakeholders.
Bookkeeping Challenges Faced by Micro-Enterprises: A Qualitative Study of the Retail Sector in Matara District, Sri Lanka
Authors: - Premarathne, W. , - Wickramasekara, G.D.A. , - Imalie, A.D.K. , - Priyanka, P.D.D.K.
Published: January 2025

Bookkeeping is an important factor in the field of management that plays a major role in the sustainability of any business institution. Poor accounting often results in poor management of finance flow, slow business growth, and challenges in acquiring business credits from formal financial institutes. In Matara District in Sri Lanka, micro-enterprises play a remarkable role in the retail market and the incomes of many households. However, evidence shows that many micro-enterprises experience a lot of barriers in bookkeeping. Therefore, this study seeks to find out the bookkeeping issues of micro-enterprises in the retail sector of Matara District in Sri Lanka. This research explores the main challenges that limit standard bookkeeping practices and provides recommendations on how to overcome those discovered challenges. This research utilizes a qualitative research method to identify the bookkeeping issues experienced by micro-enterprises operating in the retail sector of the Matara District, Sri Lanka. The sampling method utilized in the research was the purposive sampling method. Twenty participants were selected for the interviews. The primary data was obtained through semi-structured interviews. The data collected were analyzed by the Thematic Analysis method. The analysis of the study highlights four primary themes: Limited Financial Literacy, Resource Constraints, Technological Gaps, and Regulatory Challenges. This study contributed to the existing literature on micro-enterprises by presenting a deep insight into the bookkeeping issues existing among micro-enterprises in a developing economy. The research provides recommendations for policymakers, development institutions, and micro-enterprise owners to develop bookkeeping practices and improve the basic accounting literacy of the micro-enterprises. The research stresses the requirement of educational programs for the development of bookkeeping literacy and the application of user-friendly technologies in the field of micro-enterprises. The requirement of governmental support measures is proposed for the improvement of bookkeeping. Finally, the study helps micro-enterprises to be sustainable, transparent, and competitive by improving performance, productivity, and efficiency, which is critically important for the development of Districts in developing economies.
Financial Economy, Inclusion and Marginalised Society In Jammu and Kashmir.
Authors: - Vishal Babu
Published: January 2025

Financial inclusion is the process of making financial services accessible to all sections of society, especially those who are excluded due to poverty, lack of education, or other socio-economic factors. Inclusion is essential to achieve sustainable development and reduce poverty. However, despite significant progress in recent years, a large section of the population remains excluded from financial services
Real–Time Assistance Prototype – A New Navigation Aid for Blind people
Authors: - Harshith Chandrashekar , - Kavana V , - Ningaraju K , - Madhu L R , - Raksha R Ganapathi
Published: January 2025

Visually impaired individuals encounter significant challenges in mobility, navigation, and performing everyday tasks. Traditional tools like canes and guide dogs are helpful but have limitations, especially in unfamiliar or complex environments. Recent advancements in technology have introduced innovative solutions to address these difficulties. This paper explores a range of assistive technologies designed to improve the lives of visually impaired people. These include wearable devices, mobile applications, and smart sensor systems that use cutting-edge methods such as Machine Learning (ML) and voice-based interaction. Tools like smart glasses equipped with sensors and cameras can detect obstacles and guide users safely. Mobile apps with features like text recognition and voice feedback enable visually impaired individuals to read, identify objects, and navigate their surroundings [3]. Voice-based systems further simplify interactions, allowing users to perform tasks hands-free. Many of these technologies depend on internet connectivity, raising concerns about accessibility and reliability. This paper highlights how these innovations are transforming mobility and independence for visually impaired individuals. It also emphasizes the need for further development to overcome existing limitations. By understanding the current state of assistive technologies, this study provides insights into how technology can continue to enhance the quality of life for visually impaired people [10].
Emerging Approaches to Neuroprotection in Neonatal Hypoxic-Ischemic Encephalopathy: From Bench to Bedside
Authors: - Venugopal Reddy Iragamreddy
Published: January 2025

Neonatal Hypoxic-Ischemic Encephalopathy (HIE) remains a significant cause of neonatal mortality and long-term neurodevelopmental disability worldwide. Recent advancements in neuroprotective strategies, including therapeutic hypothermia, stem cell therapy, and adjunctive pharmacological interventions, offer promising avenues for improving outcomes in affected neonates. This review synthesizes current evidence on these approaches, focusing on their mechanisms of action, clinical efficacy, and global implementation. Additionally, challenges in accessibility, equity, and future research priorities are discussed. By bridging bench-side research with bedside applications, this article aims to provide actionable insights for clinicians and policymakers to optimize neonatal care.
BIBLIOMETRIC ANALYSIS OF STOCK MARKET SENTIMENTS USING MACHINE LEARNING
Authors: - Soni , - Nishant Kumar
Published: January 2025

Sentiment analysis has gained significant attention in financial markets for its potential to gauge market
sentiment and predict stock price movements. This bibliometric analysis explores the landscape of
existing research literature in sentiment analysis using machine-learning techniques in the stock market
domain. for this purpose, I, extract 572 research articles pertinent to the chosen field. These articles
were published in 368 journals between January 2012 to April 2024 and have been listed in the Scopus
database. By systematically reviewing relevant literature, this study aims to identify key trends,
research themes, influential authors, and publication outlets in the field. The paper employed a blend of
bibliometric and network analysis techniques using “R” and VOSviewer, such as co-citation analysis,
keyword co-occurrence analysis, and author co-citation analysis to uncover sentiment analysis's
intellectual structure and evolution in stock market research. The findings of this study provide valuable
insights for practitioners, researchers, and policymakers interested in understanding the advancements
and future directions of research in sentiment analysis of investors in the stock market.
The Influence of Event Experience Scale Affecting Satisfaction of Thai Tourists in Chiang Rai ASEAN Flower and Art Festival 2024
Authors: - Khwanruethai Krongyut
Published: January 2025

This research is a survey the event experience scale of tourists' perceptions to participate in Chiang Rai ASEAN Flower and Art Festival 2024 in dimensions of affective engagement, cognitive engagement, physical engagement, and experiencing novelty. Testing the influence of event experience scale on festival satisfaction is an important part of this research. Data were collected using a questionnaire of 400 Thai tourists. Data were analyzed using descriptive statistics and multiple regression analysis. The results found that tourists had the highest level of event experience in terms of affective engagement, followed by physical engagement, experiencing novelty, and cognitive engagement. The event experience scale that influences tourist satisfaction includes affective engagement, experiencing novelty at the statistical significance level of 0.05. However, organizers should create exciting activities, a unique and impressive atmosphere, provide the opportunity to participate in activities to gain a good experience and increase satisfaction in participating in the festival.
A Study on Employee's Welfare and Safety Measures in Nithya Packaging Private Limited
Authors: - Kavipriya. S , - Dr. A. Mathiazhagan
Published: January 2025

Employee welfare and safety are pivotal to enhancing workforce productivity and satisfaction. This study focuses on assessing the effectiveness of welfare measures implemented in Nithya Packaging Pvt. Ltd. Key findings highlight the importance of statutory and non-statutory safety measures, regular health check-ups, and robust training programs to reduce risks and improve morale. The research underscores the significance of safety programs in fostering a safer, healthier, and more productive workplace.