bluuebunny/crossref_metadata_2025 huggingface dataset:
STRATEGIC ALLIANCE: PRODUCT AND SERVICE DEVELOPMENT
Authors: Narain Renuka Shyam
Published: June 2024

In the ever-evolving landscape of global business, strategic alliances have emerged as a paramount strategy for organizations seeking to expand their reach, harness complementary resources, and foster innovation. This research paper investigates the intricate realm of strategic alliances with a specific emphasis on the strategic partnership between ICICI Bank and Amazon India, which resulted in the co-branded ICICI Credit Card tailored for online shoppers. This alliance exemplifies a pioneering approach to product and service development within the context of the Indian financial and e-commerce sectors. The paper commences with a comprehensive literature review, exploring the fundamentals of strategic alliances, their diverse types, advantages, drawbacks, and previous case studies of successful alliances in the realm of product and service development. It also highlights the evolving role of technology and e-commerce in shaping these partnerships. The focal point of the research is the ICICI Credit Card - Amazon India alliance, presented as a compelling case study. This section navigates through the historical backdrop of the alliance, its primary objectives, and the salient features that have driven its exceptional success. A detailed analysis delves into the success factors, challenges, and the profound impact of the alliance on customer experience, satisfaction, and the financial standing of both partnering entities. The paper additionally compares the ICICI-Amazon alliance with other successful strategic alliances, elucidating similarities, differences, and the distinctiveness that sets this collaboration apart. Insights from this comparative analysis provide valuable implications for businesses contemplating similar partnerships in the dynamic world of e-commerce and financial services. As the research culminates, the paper takes a forward-looking stance in the "Future Outlook" section, examining the potential expansion or evolution of the alliance, industry trends, and the role of data-driven insights. It also offers recommendations for businesses intending to forge strategic alliances in the digital age. In conclusion, the ICICI Credit Card - Amazon India alliance serves as a beacon of innovation, illustrating the transformative power of collaboration in contemporary business. It underscores the significance of aligning complementary strengths, prioritizing customer-centricity, and adapting to the rapidly changing digital landscape. By illuminating the path towards successful strategic alliances, this research paper contributes valuable insights for businesses seeking to navigate the dynamic and interconnected world of product and service development through cooperation and innovation.
EVOLVING BUSINESS ETHICS AND CSR PRACTICES TOWARDS SUSTAINABILITY-THE FUTURE TREND
Authors: S. Anurekha Dr. , Keerthi N Ms. Sree
Published: June 2024

As a result of expanding globalization and unethical supply chains, worldwide environmental problems have grown. Businesses contribute significantly to the damage caused. Therefore, adopting sustainable practices in the future can harmonize profitability with social and environmental responsibility. This chapter discusses the relationship between changing business ethics and corporate social responsibility programs, emphasizing how these strategies are currently moving toward sustainability. The chapter highlights the concept of sustainability as the future trend that management should follow in order to attain high standards of growth while also ensuring responsible behavior. The study explores the concept of corporate ethics and its importance in dealing with organizational stakeholders. Businesses that strive towards sustainability will contribute to global problem solutions and stay ahead in competition. In order for businesses to achieve quantifiable goals while fostering a positive global reputation, environmental, economic, and social sustainability should be incorporated into CSR activities. To do this, it is crucial for them to adhere to a reliable reporting strategy like the GRI that is discussed in this chapter. This chapter will serve as an ultimate resource for businesses worldwide to comprehend the essence of corporate ethics and social responsibility. It will also aid them in identifying their part in resolving current environmental issues by adopting sustainable CSR practices.
UNLOCKING MARKETING INSIGHTS: HARNESSING DATA SCIENCE FOR STRATEGIC DIGITAL MARKETING OPTIMIZATION
Authors: Chhabra Dr. Rashmi , Malhotra Ms. Meetu
Published: June 2024

Over the past decade, there have been great efforts in using data science to take decision-making, get deep insights, and act from large data sets in the digital marketing environment. Using algorithms, techniques, and methods of Data Science, voluminous data is analyzed to understand the underlying patterns and trends. Basically, the tasks of digital marketers can be separated into four fundamental components - building and managing databases, analyzing data, understanding data, and communicating the findings to stakeholders. The Chapter focuses on how data science can be used by digital marketers to plan their digital marketing strategies to increase sales and profits and how digital marketers can reap the advantages of Data science by implementing it for these campaigns. The chapter highlights the key components of Digital Marketing and narrates the Role of Data Science in Digital Marketing.
AN EMPIRICAL STUDY ON INTERNATIONALISATION OF BUSINESS & ITS IMPACT ON THE KNOWLEDGE NETWORK AND INNOVATIVE PERFORMANCE
Authors: Sivakami R Dr. , Belova Ms. Karina
Published: June 2024

The World is going through the rapid changes and interdependency among the countries is increasing, thus nations and businesses are seeking for a partnership to explore new markets for accessing the facilities like human, technology, financial and informational resources, to gain reputation and increase profit. The firms globalize their technological capabilities as well as activities such as marketing and production and in the same time the biggest attention is paid to increasing offshore R&D activities in other countries. Consequently the internationalization of business became an important dimension, that is driven by internal as well as an externat forces. To gain sustainable advantages through internationalization companies choose among the several modes of investment, such as FDI, FPI, M&A, Brownfield and Greenfield investments, joint ventures. It is vital for a firm to make a balanced investment decision as this can create a strong impact on the future performance of the organization. This study highlights the influence of investment decisions on innovative performance. Companies are going global and do their best to choose the most appropriate mode of entry. In the best case scenario the investment decision has to increase the value of the final product, service and organization itself on account of leveraging the utility of external knowledge as well as boosting firm’s innovative performance. Nevertheless this can be guaranteed only in case the organization is able to rationally and strategically use the opportunities of the investments. While investing in a new market organizational ambidexterity and absorptive capacities (potential and realized) can help to be prepared to face all the consequences, adjust and come up with on time decisions to withhold the position and bring advantageous changes. The study has made an attempt to study the investments as the mode of internationalization on the company, to highlight importance and connection between the knowledge network and innovative performance and to analyze how investments as the mode of entry can affect the knowledge network and innovative performance, also to find out the gap between the firm’s expectations and reality of the investment’s effect on innovative performance and to analyze how investments should be done to achieve more sufficient effect on knowledge network & innovative performance.
ASSESSING THE SUSTAINABILITY OF PILGRIMAGE DESTINATIONS USING GSTC CRITERIA: A CASE STUDY OF VARANASI, UTTAR PRADESH
Authors: Yadav Dr. Charu Sheela
Published: June 2024

Pilgrimage destinations in India experience heavy traffic. As a result, pilgrimage destinations are required to follow destination planning and management. Destination planning and management calls for diverse stakeholders to work towards the common objective of creating effectively managed sustainable tourism destination. Destination planning is a continuous process that entails taking into account prospects and challenges in the social, economic, cultural, and environmental fields. Destination planning is crucial for religious destinations in India. It is important to address the issues and challenges faced by pilgrims and locals. Close to 60 percent of domestic tourism in India is driven by religious beliefs. For this chapter Varanasi is the area of study. Varanasi is one of the oldest continuously inhabited cities in the world. Varanasi is located on the banks of the river Ganga in Uttar Pradesh. It is the holiest of the seven sacred cities-Sapta Puri. Ayodhya, Mathura, Haridwar, Kashi, Kanchipuram, Ujjain, and Dwarka are among the seven sacred pilgrimage sites in India known as the Sapta Puri. Varanasi is sacred for Hindus, Jains and Buddhists. Tourists and pilgrims from all over the world travel to Varanasi every year because it is a sacred city with strong spiritual and mythological beliefs. The city is facing a lot of challenges like high footfalls, infringement of carrying capacity, waste management, crowd control, the commodification of rituals, safety and security of tourists, visitor experiences and so on. There is a need for managing tourism in Varanasi so that the stakeholders are benefitted. The GSTC Destinations Criteria, additionally referred to as "GSTC-D" informally, are the minimal standards for sustainability that each tourism destination should aim for and act as primary framework for the destination to become sustainable. There are 38 criteria and 174 indicators based on the four key themes of socioeconomic impacts, cultural impacts, environmental impacts, and sustainable management. Based on these criteria and indicators, the level of sustainability achieved in Varanasi was assessed and evaluated. This chapter shall be insightful for tourism planners in sustainable tourism planning and measuring the viability of sustainable tourism practices in a pilgrimage destination.
THE RELATIONSHIP BETWEEN WORK LIFE BALANCE AND STRESS MANAGEMENT FOR WOMEN EMPLOYEES IN HOSPITALITY INDUSTRY
Authors: Khan Samin , Sreenivasan G K
Published: June 2024

Hospitality, being a service industry, requires being in function 24 x 7 throughout the year, so that the needs and requirements of the guests can be immediately looked into and attended to. The attention to be paid to the guests should make them feel home away from home. Such a feel, eventually, makes the guests recall the same property during their next visit. In marketing terms, the homely feel works like an invisible product offered to the guests. Therefore, the process of offering a complete product requires involvement and dedication of the employees attending to the needs of the guests. This dedication, in combination with other factors such as personal, family and work, hikes the stress level of the employees of the hospitality industry. The stress level also varies from time to time due to other external factors such as technological, political, societal and environmental. Given the wealth of prior research in this field, our study seeks to explore the connection between maintaining a healthy work-life balance and effectively managing stress in today's world..This research will rely on existing secondary data, such as academic journals, industry reports, government publications, and other relevant sources. The data will be systematically analyzed to know the relationship between work-life balance and stress management among women in the hospitality industry. The findings of this study will contribute to the known knowledge on work-life balance and stress in the hospitality industry, specifically focusing on women in India. By examining secondary data, the research aims to identify the challenges faced by women in achieving work-life balance and to understand the impact of such imbalances on work-life balance. The study will also highlight potential strategies and interventions that can be implemented by organizations and policymakers to promote better work-life balance and reduce stress among women in the hospitality sector in India. By utilizing pre-existing secondary data, this research provides a practical and budget-friendly method for obtaining insights into the dynamics of work-life balance and stress. This approach can aid in making informed decisions and crafting specific interventions to support women working in the Indian hospitality sector.
NEURODIVERSE HIRING PROCESS IN WORKPLACE
Authors: Pandita Prof. Priyanka , Patil Dr. Rajeshwari
Published: June 2024

In this VUCA (volatility, uncertainty complexity, ambiguity) world, to make the businesses more reasonable and accessible to every population, driving sustainable growth and bringing innovation has taken the front seat in the organisation and undoubtly it has become a daunting task for the organisations. Every organisation seems to have picked up the concept of ED&me (equity, diversity & inclusion) to take care of their diverse workforce. But the concept seems to be far beyond the gender, age, race and sexual orientation in today era of workforce. In past some years, the field of neuroscience has made emerged so well in understanding the human brain and its complicated workings. The new information has the possibility to revolutionize various phases of human lives, including the process that we use to hire and select candidates for job positions. Neurohiring, the application of neuroscience principles in the hiring process, holds immense promise in improving recruitment strategies, reducing biases, and identifying the right candidates for the job. This chapter explores the concept of neurohiring, its key components, benefits, and potential challenges.
TECH-ENABLED PLATFORMS AND STUDENT ENROLMENT
Authors: Ahmed Dr. Ameer Asra , Patil Prof. Vaibhav
Published: June 2024

Particularly among young people and college students, use of social media has been on the rise. It's a conduit via which individuals may communicate and trade digital content such as thoughts, ideas, and views. The most frequent definition of social media is the network of websites and mobile applications that allow users to communicate with one another, share and discover information, and build social networks. The educational system has benefited greatly from the advancements in information and communication technologies. The advent of several social media platforms has brought about a revolutionary change in the education industry, particularly because of its relationship with the tech-savvy youth. The educational system is gradually incorporating these innovations. Information and communication technologies and social media are being used by educational institutions to enhance the lives of its students. With the use of social media, educational institutions, instructors, parents, and students may all communicate and collaborate more effectively. As a direct response to the COVID - 19 epidemics, most schools have implemented tech-enabled student enrolment platforms, streamlining their academic and administrative processes in the process. This research examines how the use of technology-enabled platforms affects the impact of social media on student enrolment. Cronbach's alpha was used to determine the reliability of a questionnaire the author had developed independently based on a review of the relevant literature. The SPSS software was used to check the validity of the hypotheses.
A CASE STUDY ON “AUTHENTIC CUISINES” WITH REFERENCE TO EMPLOYEE ENGAGEMENT
Authors: Pallavi Dr.
Published: June 2024

This case study focuses on employee involvement in particular and how it applies to management concerns in general. It is incredibly difficult to convey the principles without using case studies or real-world examples. The author has made an effort to offer support with a case study to help readers grasp the subject better. In this instance, the owners' plight and the difficulties they have in beginning a new firm as recent grads are the main topics of discussion. Mr. Natesh and Mr. Ramesh are two recent graduates from an esteemed university who came home with a strong desire to share their expertise and original culinary creations with the Indian people.
ADVANCED VIRTUAL ASSISTANTS -LACKING EMPATHY
Authors: Joshi Dr. Deepika S , K.K. Pande Dr.
Published: June 2024

Present Era witnesses the role of technological advancements in organizational working style. Business Communication and CRM domains are also implementing technological solutions for more effective process but still can these virtual assistants replace humans and their empathetic responses remain the big questions to answer. AI and Machine learning had indeed contributed a lot for opening the doors of possibilities for blending business needs with technical solutions especially for the virtual world. This chapter is being planned to dig out the possibilities of creating a real virtual assistant i.e. a Human Replica in terms of understanding and empathizing with the user.
MITIGATION OF RISK IN THE CONTTEXT OF MOBILE BANKING IN GHANA
Authors: Oteng Mr. Stephen , Patel Dr. Ashwinkumar
Published: June 2024

Mobile banking refers to the mode of making financial transactions through a mobile device, which is cell phone, computer and other digital devices. These financial transactions includes banks sending money to their clients or receiving money from their clients through mobile devices. The introduction of mobile banking has brought efficiency in the financial sector. The digital age has made mobile banking very convenient with many banks offering impressive applications. Notwithstanding these benefits, there are several security concerns and threat for the use of mobile banking. The fundamental objective of this paper was to identify risk associated with the use of mobile banking in Ghana, and to suggest mitigation measures to reduce or curtail these risks. Primary data was gathered through questionnaire in two parts that was direct/physical and online. The total number of responses received for the study were sixty six (66), and this was achieved through direct/physical and online questionnaire. The first part was direct administration of questionnaire to twenty (22) respondents at various points and this represents 33.33% of the total responses. The second part was an online questionnaire through email and WhatsApp. A total of forty four (44) responses represents 66.67 of the total responses were received through WhatsApp, and out of this number five (5) indicated that they have never used internet banking before. Table was used to analyze the data collected. Eight (8) risks were identified through the use of mobile banking in Ghana. These risks were; receiving of misleading short message services (SMS) that could prompt a customer to reveal bank account information, phishing scams email that appear to have come from a customer’s bank that include a call to take an action, such as change or reset of password, call from someone reporting to be bank official, needing to verify a customer login details for the purpose of confirming of an identity, mistakenly transfer of money to someone, unauthorized third parties gaining access to a customer bank accounts through using login details that have been stolen directly from mobile phone, lost devices that have mobile banking details saved in a text file, login details stolen over WiFi and hotspots of a bank customer, and delays in bank confirming of successful transaction leading to multiple transfers. The results of this study showed that the quick rise in the adoption of mobile banking services has been accompanied by a subsequent rise in fraud activity by individuals claiming to be associated with the banks. Those who have received misleading short message services (SMS) that could prompt them to reveal bank account information were twenty four (24) representing 39.34% of those who have used mobile banking before and this was the highest risks area identified. This should be a major concern to the banks, other stakeholders, policy makers and the country as a whole.
ENVIRONMENTAL MANAGEMENT SYSTEM - A TOOL FOR SUSTAINABLE BUSINESS
Authors: Bathla Dr. Poonam
Published: June 2024

Sustainability requires integrating environmental, social, and economic goals and using best environmental practices to reduce risks and uncertainties. With the present-day drive for competitive edge and improved efficiencies, organisations are combining sustainable development initiatives into business systems in innovative ways to improve their environmental performances. Environmental Management System (EMS) is one such tool to achieve sustainability in organizations. In this chapter we discuss the importance, model, benefits and challenges involved in implementation of environmental management system in organizations.
“PORTFOLIO MANAGEMENT'S PLATFORM FOR EVALUATING AND MANAGING FINANCIAL RISKS”
Authors: Kumar Dr. P. Krishna , Tamilarasi K Ms. , Sindhu T Ms. , Jothilakshmi K Ms.
Published: June 2024

The Financial Risk Assessment and Mitigation Platform is a comprehensive solution designed to address the challenges faced in traditional portfolio management. This platform leverages advanced technologies and data-driven insights to provide investors with a competitive edge in assessing and mitigating risks effectively. By offering real-time risk monitoring, data aggregation and analysis, scenario analysis and stress testing, and automated compliance and reporting, the platform empowers investors to make informed decisions, optimize risk-return trade-offs, and streamline operations. With its sophisticated tools and capabilities, the platform enhances risk identification and mitigation, improves decision-making through data-driven insights, and drives operational efficiency. Embracing this platform can lead to improved portfolio performance, enhanced risk management, and increased investor confidence. Discover the power of the Financial Risk Assessment and Mitigation Platform and stay ahead in today's dynamic financial landscape.
FUTURISTIC TRENDS IN MANAGEMENT BLOCKCHAIN IN HR: SECURE IDENTITY AND RECORDS
Authors: Vidhya K Dr. , Sangeetha P Dr.
Published: June 2024

This delves into the realm of blockchain technology and its profound implications for the Human Resources (HR) domain, specifically focusing on secure identity management and records maintenance. In an era marked by increasing concerns about data privacy and security, blockchain emerges as a robust solution that reimagines how HR departments handle sensitive information and streamline complex processes. This elucidates the pivotal role of blockchain in reshaping identity management practices. By leveraging the inherent characteristics of immutability and cryptographic security, blockchain introduces the concept of self-sovereign identity, granting individuals control over their personal data. This self-sovereign identity not only ensures heightened security against identity theft and fraud but also empowers employees to selectively share their information while adhering to verification requirements. Furthermore, the integration of blockchain technology augments the maintenance of HR records. In an environment where meticulous record-keeping is essential, blockchain's decentralization and transparency shine. The technology facilitates the creation of tamper-proof audit trails for every transaction and modification, bolstering data integrity and accountability. This ensures that confidential records, such as employee performance appraisals and salary histories, are securely stored and accessed in a traceable manner. It also explores the concept of smart contracts and their potential to revolutionize HR operations. These self-executing codes, residing on the blockchain, offer automation and efficiency in processes such as salary disbursements and performance evaluations. The transparency and accuracy of smart contracts mitigate human errors and disputes, ultimately fostering a more streamlined and secure HR ecosystem. However, the adoption of blockchain in HR is not without challenges. Integrating blockchain systems with existing HR software, training HR personnel, and ensuring compliance with data protection regulations pose significant considerations. Despite these challenges, the benefits of blockchain's impact on HR are undeniable, promising to reshape how organizations safeguard and manage their workforce information. As blockchain technology continues to evolve, so too will its transformative role in the HR landscape.
FABRICATION OF EIGHT-LEGGED ROBOT WITH THEO-JANSEN’S LINKAGE AS FOOT: HANDY-APPROACH USING METALLIC-STRIPS, FOR EDUCATIONAL-PURPOSES
Authors: Ojha Ravi , Gupta Mannu , Laxmi Pandey m , Tiwari Piyush
Published: June 2024

Legged Robots have become popular for features like terrain-adaptability, ability to surmount complex-obstacles, high-levels of mobility, maneuver ability, ability to mimic movement of living-animals, etc. Basis of such mechanisms is Walking-Linkage. Klann’s Walking-Mechanism and Theo-Jansen’s Walking-Mechanism have become most for their simplicity and single degree-of-freedom. Their principle is conversion of input rotary-motion into linear-motion of the end-effector (foot or toe). Jansen’s Linkage is modifiable in terms of link-dimensions and input-actuation, and has the capability to be more worthwhile when used in combination with other useful mechanisms like Ackermann’s. This paper presents fabrication of an 8-legged model employing Jansen’s Linkage as foot using metallic-strips and plates which a first-time approach for any walker, making this model capable of being used for educational as well as analysis and research purposes. This paper also summarizes the do’s and don'ts while fabrication of such model and basic approach while developing such models using metallic-strips which were availed from Zephyr Toymakers pvt. ltd. and motor were availed from robu. in, thus making our model very cost-efficient as far as analysis is concerned. Future-aspects of such models are also discussed at the very conclusion of this paper after listing various improvements which need to be considered on near-future.
NETWORK INTRUSION DETECTION SYSTEMS AND SECURITY UPGRADES USING MACHINE LEARNING TECHNIQUES
Authors: Ramya R. , Kumar P. , Saranya C.
Published: June 2024

Machine learning (ML) is a modern image-processing technique with high potential. It has recently entered the networking field since it has been eminently used in various areas. Currently, Machine learning is a new technology that can be used in the modern networking and communication sector; it’s applied to enhance the productivity and security of the privacy - Artificial Neural Networks (ANNs), now one of the most widely-known approaches to computational intelligence. IDS improves network security by aiding in the prevention of an increasing variety of attacks. NIDS can be categorised as either signature-based or anomaly-based. The anomaly-based NIDS, based on machine learning models and can identify attacks with high accuracy, is the most prominent type of NIDS. In recent years, artificial neural networks have various advantages in pattern recognition and machine learning. Machine learning is successful because it can quickly and efficiently find patterns and predict problems with enormous amounts of information. By automating the analysis, cyber teams may immediately identify threats and isolate situations that require additional human investigation. The network security environment has extensively used machine learning techniques, supervised learning, unsupervised learning, and reinforcement learning. Additionally, it provides concise explanations of each ML technique, often utilised security datasets, required ML tools, and assessment metrics for classification model evaluation. The issues of using ML approaches to cyber security are finally explored. This chapter on the application for machine learning in computer networking in the real-world framework. It provides classification techniques like neural networks (RNNs, CNN) other methods (SVM, KNN, and Decision Tree). It supplies the reader with knowledge of present and emerging mode in ML applications research and area of focus for researchers. Labeling network traffic or designing access control policies aims to fine-tune the many aspects of pertinent security procedures to mitigate a specific attack. This chapter is conducted research efforts that employ various neural networks such as convolution neural networks (CNN), which constitute a specific class of ML, applied to other networking and security issues challenges.
MACHINE LEARNING TECHNIQUES FOR DESIGN OF INTRUSION DETECTION SYSTEM FOR BIG DATA NETWORKS
Authors: Sammy. F Dr. , Meenakshi Dr. , Umesh Kumar Singh Dr. , Malik Jawarneh Dr. , Abhishek Raghuvanshi Dr.
Published: June 2024

As digital technology advances, gigabytes and terabytes of data are now generated every second. Businesses in a variety of industries are finding that using the internet to manage their resources and transactions is useful. Given the value of data and the need to safeguard its security and privacy, securing big data remains a major challenge for all solutions. Due to the exponential expansion of network data, intrusion detection is becoming increasingly important, and manual analysis would be either impossible or take the same amount of time as analysing it. As a result, there is an urgent need for an automated system capable of extracting relevant information from enormous amounts of hitherto untapped data when it comes to network intrusion detection. Data mining can perform a variety of tasks, such as clustering, prediction, classification, and the extraction of association rules between data pieces. This paper discusses machine learning techniques for designing intrusion detection systems for big data networks. In this approach, the NSL KDD data set is used as input. First, the CFS-correlation feature selection approach is used to pick only relevant features from the NSL KDD data set. The NSL KDD data collection contains 41 features. The number of characteristics was reduced to 16 after applying the CFS algorithm. The 16 attributes are then used by machine learning techniques to classify and predict malware data in the NSL KDD data set.
BRAIN TUMOR IMAGE CLASSIFICATION USING SUPPORT VECTOR MACHINE
Authors: Deb Akangsha , Tiwari Tanu , Rajkumari Sanjana , Swarnakar Jaydeep
Published: June 2024

This paper is focused on developing a model for classifying MRI images of brain tumors including Glioma Tumor, Meningioma Tumor, Pituitary Tumor and no tumor. The dataset has been collected from Kaggle. Then, it has been organized and uploaded to GitHub. The different libraries of Python namely Matplotlib, NumPy, and Sci-Kit Learn have been capitalized in this work. Google Collaboratory has been used for the execution environment with a limited storage requirement of 108 GB. The images are cloned from GitHub repository named "Brain-Tumor" to Google Collaboratory. This repository contains a dataset corresponding the images of all the specified types of tumors. The Support Vector Machine algorithm has been used for classification. The accuracy of the proposed model ranges in between 84% to 92%.
RELATIONSHIP BETWEEN SELF-ESTEEM AND EMOTIONAL REGULATION AMONG YOUNG ADULTS RESIDING IN KOLKATA
Authors: Saha Debanjali , Suchismita Sinha Dr.
Published: June 2024

Background: The present study aimed to investigate the relationship between self-esteem and emotional regulation among young adults residing in Kolkata. Objective: • To find if there is a relationship between self-esteem and different strategies of emotional regulation among young adults residing in Kolkata. • To find if there is a significant difference between male and female residing in Kolkata with respect to self- esteem and different strategies of emotional regulation. Methodology: For the mentioned purpose, we correlated self-esteem and emotional regulation strategy among males (n=60) and females (n=60). Emotional regulation Questionnaire (assess emotional regulation) and Rosenberg Self-Esteem Scale (assess self-esteem) were used in the study.Results: The result suggests that there is a strong positive correlation between cognitive reappraisal and self- esteem but negative correlation between expressive suppression and self-esteem among young adults residing in Kolkata. T- Test analysis also reveals that there is no significant difference between male and female in terms of self –esteem but there is a significant difference between male and female in terms of cognitive reappraisal and expressive suppression. Conclusion: This study found that men and women with higher self-esteem reported higher levels of emotion regulation, such as being able to express their emotions in a healthy manner and managing their emotions effectively. This suggests that by learning how to better regulate their emotions, people can improve their self- esteem. Emotion regulation plays a critical role in developing one's sense of self.
DEVELOPING BUYING BEHAVIOUR AMONG THE YOUNG GENERATION: PSYCHOLOGICAL AND ECONOMICAL PERSPECTIVE
Authors: Vaishali Choudhari Dr. , Sheetal Khandre Dr.
Published: June 2024

Children are now considered as the main target customer for various products right from food to various accessories. Since the last decades, marketing strategies have modified their focus towards the younger generation. Changing social and economic conditions have also changed the role of children as consumers. A huge spread of urbanization leads the young generation to be aware about many things and options which in turn leads to increasing buying behaviour among children. Media, good income and easy availability of products are playing the main role in developing buying behaviour, not only in adults but in children also. With high class technologies, it is very easy to get everything in the next moment without any interruption or botheration. Children are observing this behaviour and getting different options from parents rather than sticking to a single one. Multiple options leading the young population towards impulsivity as well as tempting them to try out something new. After a certain limit, this behaviour may take turn of abnormality. This chapter will focus on the developing buying behaviour among the young generation, its causes and its psychological as well as economic impact on parents.
DANCE MOVEMENT THERAPY – A SHIFT IN FOCUS FROM TRADITIONAL COMMUNICATIVE THERAPY TO A PROJECTIVE INTERVENTION STRATEGY
Authors: Bose Srijani
Published: June 2024

This chapter delves into Dance Movement Therapy (DMT) as a comprehensive intervention for physical and mental well-being, drawing from Maslow's hierarchy and Freudian principles. Tracing DMT's evolution from Marian Chace's pioneering work to its recognition as a psychotherapeutic method, the paper highlights its physiological impact on neurological plasticity, cognitive functions, and its efficacy in conditions like Parkinson's Disease and cancer. Psychologically, DMT engages cognitive, emotional, and creative facets, addressing mental health challenges. The paper envisions DMT as a futuristic intervention adaptable to personalized care models, emphasizing its ability to transcend cultural and linguistic barriers. Introducing Kathak as a potential DMT modality, the paper emphasizes its alignment with DMT principles, offering a unique therapeutic avenue with cultural richness. Overall, DMT emerges as a dynamic and universal methodology, poised to shape the future of healthcare and psychotherapy by emphasizing the interconnectedness of body, mind, art, and culture.
THE SOUND MACHINE PANDORA THAT LED TO THE OTHER WORLD
Authors: Bhatt Kirtika
Published: June 2024

The chapter unravels the deep yet mysterious connection that science and gothic elements share. Often considered as two very different spheres, “Pandora that led to the other world” showcases how one cannot exist without the other. Klaussner becomes the chain between the two world. The rationales identify the story as a work of pure science fiction, but the author attempts to bring out the other side of the coin which is present in the story i.e. how deeply rooted it is in the arena of gothic elements.
CASTE IN INDIA: IS IT A RITUALISTIC HIERARCHY OR A MATERIALIST CONCEPT?
Authors: Chatterjee Anupreeta
Published: June 2024

This research paper deals with the sociological problem of caste and tries to understand the nature of caste. The paper covers the perspectives of some of the eminent sociologists like, Mencher, Dumont, Srinivas, Habib, Berreman and Ghurye to understand the existing debates around the caste system. Through this paper, I have tried to unfold the thematic patterns that have shaped the caste system and the nature of caste from a sociological lens. The paper also attempts to showcase the implications of the caste system in the contemporary era.
HEALTHCARE AND SENTIMENT ANALYSIS
Authors: Panchal D. S. , Tribhuvan A. P. , Deshmukh Dr. S. N.
Published: June 2024

Sentiment analysis, a branch of natural language processing, has gained significant attention in the field of healthcare due to its potential to extract valuable insights from patient feedback and textual data. This review paper delves into the diverse applications of sentiment analysis in the healthcare domain. It explores how sentiment analysis techniques are being employed to assess patient opinions, sentiments, and attitudes, ultimately contributing to improvements in healthcare services, patient experience, and decision-making processes. The paper also highlights challenges, trends, and future directions in this evolving field. The study focuses on the quality of healthcare services through the analysis of patients comments from experienced patients using sentiment analysis. This is particularly important in addressing patients' needs for their own health, typically during their hospitalization. Patients expect high-quality services from hospital staff such as ward boys, nurses, and doctors. These employees are expected to provide attentive care to alleviate patients' discomfort. Administering necessary medication to patients on time is crucial for relieving their pain as promptly as possible. The hospital's environment must be clean and conducive to ensuring patients' satisfaction.
NON-FUNGIBLE TOKEN (NFT) DEPLOYMENT IN ETHEREUM NETWORK
Authors: Nandy Shayan , Chakraborty Rajdeep , Mukhopadhyay Indraneel
Published: June 2024

The Non-Fungible Token (NFT) industry has exploded in recent years both in the industry and also in academic research. The notion of Non-Fungible Token (NFT) is based on an Ethereum token standard that aims to distinguish each token with identifiable indications. As their unique identifiers, these tokens can be coupled with virtual/digital attributes. All marked properties can be freely sold via NFTs, with customized values based on their ages, rarity, liquidity, and so on. It has significantly boosted the growth of the decentralized application (DApp) sector. The thousand fold return on its expanding market attracts a lot of interest all across the world. However, the NFT ecosystem is still in its early stages, and NFT technologies are still in their infancy. As a result, we are working on NFT deployment as well as learning about security problems and NFT-related topics. We have to also remember that newer applications of NFTs in the Metaverse is also making NFTs state of the art.
AI AND SUSTAINABLE E-COMMERCE
Authors: Dey Arup Kumar , Mukherjee Dr. Dibyendu , Ghosh Anup Kumar , Satsangi Dr. Alok , Mandal Dr. Bijoy Kumar
Published: June 2024

This book chapter explores the transformative impact of Artificial Intelligence (AI) in e-commerce, focusing on personalized customer experiences and sustainable practices. It delves into AI's role in revolutionizing customer interactions, optimizing pricing strategies, and enhancing supply chain management. Furthermore, it investigates the integration of AI-driven analytics, machine learning algorithms, and ethical considerations in e-commerce operations. Emphasizing sustainability, the chapter discusses eco-friendly practices, energy efficiency, and the ethical implications of AI deployment. Overall, it presents a comprehensive perspective on leveraging AI to create customer-centric experiences while fostering sustainability in the digital marketplace.
CURRENT SCENARIO ABOUT VIRTUAL PRIVATE NETWORK (VPN) CYBER SECURITY THREATS
Authors: Deepika C. , Abirami Dr. K.
Published: June 2024

One of the most crucial issues today is cybersecurity. topics in the arena of information security. Cybersecurity risk in context of emerging DMs assesses manufacturing impact and identifies approaches for securing DMs. In this article, we examine how a new model of cyber resilience developed and presented can be used to improve cybersecurity and cyber defense. In the condition of Cybersecurity (Cybersecurity and Emerging Risks) presents a novel conceptual cyber resilience model that integrates cybersecurity and information security. The model integrates machine learning, natural language processing, behavioral analytics, and deep learning to bolster cybersecurity defenses and guard against a variety of cyberthreats, such as malware, phishing attacks, and insider threats. In order to get findings, this study used descriptive and analytical methods. This outcome emphasizes the growing relevance of cybersecurity. Without a doubt, businesses are aware of the risks and threats that hackers represent to their operations.
IMPROVING SALES PROJECTIONS: A NEURAL PROPHET-BASED APPROACH FOR WEEKLY FORECASTING
Authors: Rajalakshmi Y. , Ammannamma Tamminina , Gudibandla Divya
Published: June 2024

Sales forecasting is a critical element in the strategic planning of businesses across various industries. Accurate sales forecasts enable organizations to optimize inventory, allocate resources efficiently, and make informed decisions. Traditional time series forecasting methods, such as ARIMA and Exponential Smoothing, have long been employed for this purpose. However, these methods may struggle to capture the complexity of modern sales data, characterized by irregular patterns, seasonality, and non-linear trends. This research also presents a comparative study of sales forecasting techniques, focusing on the application of NeuralProphet, an extension of the popular Prophet forecasting library that integrates neural networks. NeuralProphet is designed to address the limitations of traditional methods by harnessing the power of deep learning to model intricate patterns in time series data. The study utilizes historical sales data from a diverse set of industries, including retail, e-commerce, and manufacturing, to evaluate the performance of NeuralProphet in comparison to traditional forecasting methods. The results showed that Neural prophet showed better results compared to Facebook prophet in terms of Root Mean Square Error (RMSE).
PARALLEL COMPUTING
Authors: Mary N Dr Ani Brown , Wincy Dr Anne , V S Dr Abbiramy , Fathima A Dr Shameem
Published: June 2024

Parallel computing is applied for the development of breaking down bigger problems into smaller. These parts are independent, which can be implemented instantaneously by multiple processors collaborating using shared memory. Parallel Systems are systems designed with multiple processors to execute the processes. Concurrent systems are schemes that are built from a set of independent components which perform their operations at the same instant of time. These components interact in a controlled manner so that the interactions do not produce unwanted issues such as deadlock and resource starvation. The reckless computers in the world use from top to bottom level parallelism. These systems are leading to novel scientific findings.
SMART BRA DEVICE FOR DETECTING BREAST CANCER USING MACHINE LEARNING
Authors: Sireesha Dr. P.G.K. , Kumar Rejeti Dr. Venkata Kishore , Basha Shaik Johny
Published: June 2024

The most prevalent cancer in women globally, especially in young patients, is breast cancer. Breast tumours in young women are typically discovered at later stages than tumours developing in older individuals. In the past, breast cancer diagnoses at young ages have been associated with poor prognoses, especially for breast malignancies. Without the need of any scans, such as CT or MRI scans, Smart-Bra is used to identify breast cancer at an early stage. In this smart-bra technology, we use temperature, lumps and blood flow sensors by using Arduino can detect breast cancer. Unlike mammograms, which use low energy X-rays, the Smart Bra uses sensors which does not produce any harmful radiation effect. Smart Bra is non-invasive and painless method comparing to mammogram screening. Doctor suggests mammogram screening for only women older than 50 years. Smart Bra is completely safe and comfortable for the women.
APPLICATION OF FUZZY EXPONENTIAL WEIGHTED MOVING AVERAGE CONTROL CHART FOR DETECTING SMALLER SHIFTS IN MANUFACTURING INDUSTRIES
Authors: Sasikumar R. , Rajesh S.
Published: June 2024

Control charts are the tools used to identify the out-of-control process in the manufacturing industries. The traditional control charts usually deal with crisp data, but in real-life situations, data may be unclear. In this situation, a Fuzzy control chart is the best option to represent for evaluating whether the process is in control. In order to detect smaller shifts, the Fuzzy Exponentially Weighted Moving Average Control Chart (FEWMA) and Fuzzy CUSUM Control are the best tools. In this paper, application perspective discussions on the Fuzzy EWMA Control chart for detecting smaller shifts and fuzzy CUSUM control charts in the manufacturing industries with detailed illustrations.
A DEEP LEARNING MODEL FOR IMAGE BASED MALWARE CLASSIFICATION USING A MODIFIED VGG
Authors: Vasumathi Dr. B. , Naveenkumar Dr. R. , Kogila Ms.R.
Published: June 2024

The rapid development of internet has led to an increase in attack methods and malware. Every year, anti-virus companies find millions of new variations of malware. Several organizations created novel methods to protect persons from such scams. Malware is increasing in frequency, variety, and sophistication. To stop this rise, novel malware detection approaches should be developed. Recent research has shown that deep learning is very effective at detecting malware in images. For malware detection, DL algorithms like modified VGG are used with an image-based malware dataset. The pre-processed images were used to train DL model first. The dataset is later segmented into training and testing data. For the experimental setting, the proposed model, MalNet successfully identified malware images. MalNet was then used to categorize malware images and was compared to other trained models. The suggested method produced very accurate and precise results.
AN INTEGRATED APPROACH TO MENTAL HEALTH MANAGEMENT WITH FOCUS ON DEPRESSION DETECTION
Authors: George Shiju , Joseph Asha , Sanal Sona , Philip Anila Susan
Published: June 2024

Mental well-being is a crucial factor in today's competitive world. People experience a wide range of mental issues, including anxiety, bipolar disorder, depression, insomnia, and panic attacks, due to various reasons such as work pressure, peer pressure, relationship issues, and difficulties in maintaining work-life balance, among others. In this study, our main focus is on the mental issue of depression, and we analyze different methods for detecting it using advanced machine learning techniques. The algorithms are compared to identify the most appropriate model in terms of accuracy, with the support vector showing the highest accuracy at 99.7%.