bluuebunny/crossref_metadata_2025 huggingface dataset:
DISRUPTION IN THE INDIAN PUBLIC SPHERE: PUBLIC DISCOURSE AND DIGITIZATION
Authors: Shukla Gaurav
Published: June 2024

Rise of digital media and the convergence of mass media have introduced the concept of digital public sphere. Scholars are trying to establish a theoretical framework for this alternative of the pre-existing public sphere. After 2011, the Indian subcontinent witnessed exponential growth in digital media. Media convergence has displaced the traditional mediums of communication with digital platforms. Public sphere shifted from physical world to digital space. It has motivated the decision makers to infuse the political debates and discussions here. However, ‘post-truth politics’ and fake news phenomena are creating a hallowed digital public sphere, where the discourse is similar to a mediated communication. People are participating but differing views are sidelined and only one popular ideology is being promoted. This leaves no or little scope for a healthy debate. The political economy in media is constructing biased public opinion. Common domains have pre-justified arguments with no rational thoughts. The deconstruction of the media text indicates that the dichotomy of media lies between the misinformation and its balance. The real orchestrators behind this are the political actors. And public discourse is just a way to deviate the whole debate from real issues to the mediated ones.
THE IMPORTANCE OF FOOD EDUCATION: PROMOTING HEALTH, SUSTAINABILITY, AND EMPOWERMENT
Authors: Rajat Chef. , Gagandeep Passi Chef. , Sumit Kumar Chef.
Published: June 2024

Food education plays a vital role in fostering healthier individuals, sustainable food systems, and empowered communities. This research paper explores the significance of food education in addressing global challenges related to nutrition, environmental sustainability, and social equity. By examining the benefits, strategies, and challenges associated with food education, this paper emphasizes the need for comprehensive and accessible food education programs to be implemented in schools, communities, and beyond. The integration of food education into curricula and the promotion of experiential learning can empower individuals to make informed food choices, develop lifelong healthy eating habits, and contribute to a more sustainable future. In conclusion, food education holds tremendous transformative potential. By empowering individuals to make informed choices about their health, environment, and communities, we can create a more sustainable and equitable world. It is imperative that we prioritize the development and implementation of comprehensive food education programs to ensure a healthier future for individuals and the planet.
ADVANCING WOMEN'S STUDIES: PROMOTING GENDER EQUALITY AND EMPOWERMENT
Authors: Nisha Singh Dr. , Abhishek Chandra Chef , Rajat Saxena Chef
Published: June 2024

This research paper aims to explore the field of Women's Studies, its historical development, key theoretical frameworks, and its significant contributions to the understanding of gender inequality and women's empowerment. By examining the evolution of Women's Studies, we aim to highlight its impact on academia, activism, and policy-making. The paper further discusses the contemporary challenges faced by Women's Studies and suggests future directions to foster gender equality and promote women's rights. Through this research, we hope to underscore the importance of Women's Studies in creating a more inclusive and equitable society. The abstract highlights the exploration of Women's Studies, including its historical development, theoretical frameworks, contributions, challenges, and future directions. It emphasizes the significance of Women's Studies in academia, activism, and policy-making and underscores the importance of promoting gender equality and women's rights. The abstract serves as a summary that provides readers with a glimpse into the research paper's scope and key findings.
ARTIFICIAL INTELLIGENCE: A NEW ERA OF EDUCATION
Authors: Vidya K M
Published: June 2024

This research paper seeks to provide an overview of research on AI based Education with suggestions which includes introduction of AI it’s history and how it works. Using AI tools in educational fields also included in it to make aware to people about those useful tools which makes learning easy and interesting.AI can be used for good purpose and can also affect badly the users both sides are here black and white, we have explored the field of AI education research in terms of authorship and publication pattern. According to international reports AI in education is one of the currently emerging technologies in education field. AI is giving explored and practical approach in application of AI in education field at the place of theoretical perspectives. At last of this research paper some suggestions are also included how to use AI in meaningful and ethical way with conclusion and statement of some popular personality about AI.
EARLY DETECTION OF ALZHEIMER DISEASE USING DEEP LEARNING TECHNIQUES
Authors: Madhura K Dr. , Gowtham R Mr.
Published: June 2024

Alzheimer's disease is an incurable brain disease that affects thinking and memory. AD affects the entire liver, leading to its shrinkage and eventual death. Early diagnosis of AD is important for better treatment. Machine learning (ML) isanoffshoot of artificial intelligence that uses multiple scenarios and optimization techniques to help computers extract results from large amounts of complex data. Therefore, the researchers focused on using machine learning to recognize the early stages ofAD.Many methods achieved the expected accuracy but were evaluated on different disease registries not proven by different models, making direct comparisons difficult. In addition, preprocessing, the number of features important for feature selection, class inequality, and many other factors can affect the accuracy of the estimation. To overcome these limitations, this article reviews, analyzes, and evaluates recent work in the early stages of AD using machine learning techniques. The proposed model includes the first step in advance, followed by the importance of character selection and classification along with mining policy. In addition, the proposed study is conducted using a model-based approach that provides opportunities for research into the early detection of AD with the ability to distinguish AD from health management using deep learning algorithms.In current studies, DL techniques such as Enhanced CNN, VGG16, AlexNet, and MobileNet are used.
PRODUCT RECOMMENDATION USING SENTIMENT ANALYSIS OF PRODUCT’S REVIEW IN E-COMMERCE
Authors: Vora Dr. Bhrantav , Patel Dr. Meghna , B. Patel Dr. Ronak , Shah Prof. Megha
Published: June 2024

Recommendation is very crucial part of human life; we rely on recommendation for almost every stuff in our daily routine. In this research work we worked on sentiment analysis by applying frequent pattern mining on the reviews of products provided by the customers on e-commerce platform. It is very easy to recommend a product based on its rating which is usually out of 5, but to deal with the reviews written in few thousands then it would be not feasible for any individual to go through and then select the best product out of available. It is very essential to identify the polarity of the given review by analyzing the sentiment of that particular review. We are applying Bow model and extract the frequent pattern by filtering positive keyword to check the polarity of the review and finally recommending the product to the customer.
A REPLICA MODEL ON ON-LINE KBC GAME FOR MULTI PLAYERS USING VOICE BASED CONTROLLED MECHANISM
Authors: Jyothi P Naga , Mancha Venkata Ramana , D. V Sahrudh , S Suresh.
Published: June 2024

One of the most popular game shows on Indian television is Kaun Banega Crorepati (KBC), also known as KBC. The player must correctly respond to each question in order to move on to the next one in this simple quiz game. The player receives prize money if they successfully respond to all the questions. While this game is intended to be enjoyable and entertaining, it also improves the viewers' general knowledge. The objective of paper is to develop a simple quiz game that blends elements of the KBC show into a game that a group of players can enjoy hands-free and with a little setup while playing on a big or small screen. The use of voice recognition makes this possible that includes elements taken directly from the game show and is fun, informative, easy to play, and maintains the spirit of the original show. The game should be able to recognize the player's voice and perform the right action.
SUTURING MATERIALS AND TECHNIQUES
Authors: Ishita Dr.
Published: June 2024

Suturing is a fundamental skill used in surgery to close wounds or incisions. It is a technique employed by healthcare professionals, such as doctors and surgeons in order to promote wound healing and reduce the risk of infection. Suturing is commonly performed in various medical settings, including emergency rooms, operating rooms, and outpatient clinics.
CAVITADAXIA – A DISTINCT UNDERLYING DISORDER
Authors: Pallavi Kriti , Pallavi Khushi , Aggarwal Dipanshu
Published: June 2024

Cavitadaxia, is a distinct terminology used for describing the chronic habit of biting or chewing the oral cavity as whole, including Morsicatio buccarum, labiorum as well as liguarum. According to DSM-5, these lesions are categorized under obsessive-compulsive and related disorders and further subcategorized into body-focused repetitive disorder. These separate entities present similar to each other clinically as well as histologically, most common distinguishing features being the site of the lesion as well as female predilection. Cavitadaxia, is a common psychogenic disorder with rareity in their reported cases. Clinicopathological correlation is required for providing proper treatment. Dermoscopy, is a tool, by which one can detect the white and yellowish patches, lines and superficial erosions, in order to rule out the differential diagnosis, alongside a proper biopsy.
LASERS IN DENTISTRY: ILLUMINATING THE FUTURE OF ORAL CARE
Authors: Shanvi Dr. , Aggarwal Dr. Dipanshu
Published: June 2024

The integration of lasers in dentistry has ushered in a new era of precision and patient-centric oral care. From soft tissue surgeries to cavity preparations and diagnostics, lasers have showcased remarkable versatility. This technology's advantages include reduced patient anxiety, minimal tissue damage, and infection control. However, challenges such as cost and specialized training persist. As lasers continue to evolve alongside digital imaging, their role in dentistry expands further. This abstract encapsulates the transformative impact of lasers, offering a glimpse into their present applications and future potential within the dynamic landscape of modern dentistry.
TELEDENTISTRY AND ORAL HEALTH: TRANSFORMING DENTAL CARE THROUGH TECHNOLOGY
Authors: Bhargava Dr. Abhinav
Published: June 2024

Teledentistry is a rapidly evolving field that leverages telecommunication technologies to deliver dental care and oral health services remotely. With advancements in digital technology and the widespread availability of high-speed internet, teledentistry has gained momentum as a convenient and efficient approach to improving oral health outcomes. This paper explores the concept, benefits, challenges, and potential applications of teledentistry in modern dental practice. It delves into the various teledentistry modalities, such as live video consultations, store-and-forward imaging, and remote monitoring, and how they impact oral health care delivery. Additionally, the legal and regulatory aspects of teledentistry, its integration into public health programs, and the implications for underserved populations are discussed. By highlighting its transformative potential, this paper underscores the importance of embracing teledentistry as an integral part of the future of oral health care.
IOT AND ARTIFICIAL INTELLIGENCE
Authors: Rekha Mrs. B. Divya , Rawat Malika , Singh Anumathi
Published: June 2024

The rapid advancement of technology has given rise to a revolutionary concept known as the "Artificial Intelligence of Things" (AIoT). This abstract delves into the convergence of two groundbreaking technologies, Artificial Intelligence (AI) and the Internet of Things (IoT), and their transformative impact on various industries and everyday life. Moreover, AIoT has a significant impact on smart cities, enabling urban planners to optimize traffic management, waste disposal, energy consumption, and public safety. Smart homes also leverage AIoT to create seamless home automation systems, enhancing energy efficiency and providing personalized user experiences. In conclusion, AIoT represents a groundbreaking paradigm that is reshaping industries and transforming the way we interact with technology. The synergy of AI and IoT offers unparalleled opportunities to create a more connected, intelligent, and efficient world. While facing challenges, the benefits of AIoT applications are poised to revolutionize multiple sectors and improve the quality of life for individuals worldwide. Continued research, collaboration, and responsible development will be crucial in unlocking the full potential of this innovative and transformative technology.
UNVEILING INSIGHTS FROM IOT DATA-ANALYSIS TECHNIQUES AND APPLICATIONS
Authors: Prasanna M. , Rajini A. , Pranav Chakravadhanula Naga , Prasanna Mummadi Sai
Published: June 2024

Within the sphere of data analysis in the context of the Internet of Things (IoT), this study explores its crucial function in supporting informed decision-making and acquiring valuable insights. The various advantages of analyzing IoT data, including the recognition of complex patterns, anomaly detection, optimization of operations, and enabling data-informed decision-making, are underscored. We also scrutinize the preprocessing of data and custom analytical techniques tailored for various types of IoT data. These techniques include the Chi-Square Test, Association Rule Mining, Long Short-Term Memory(LSTM) modeling, Dynamic Time Warping, Bayesian Analysis, Logistic Regression, Clustering, and Classification. Highlighting the versatility and applicability of various data types, including categorical, numerical, time series, binary, and relational data. Ultimately, this study underscores the potential of these approaches to spur innovation, enhance services, and fortify the IoT infrastructure in the ever-evolving landscape of data utilization. This chapter aims to provide a comprehensive grasp of IoT data analysis methods, showcasing their applicability in dealing with specific variables derived from IoT devices.
DOMESTIC WATER SUPPLY MONITORING AND THEFT IDENTIFICATION SYSTEM
Authors: R Dr. Sanjeetha , B Lavanya , G Manogna , M Pavithra , R. Prithvi Sagar
Published: June 2024

A vital component of life is water. One of the most significant problems affecting the globe today is the inefficient way of consuming water. Water usage needs to be regulated in order to guarantee a reliable supply for domestic and other uses. This work presents the design of a low-cost system for the Internet of Things (IoT) real-time water supply monitoring. A system with several sensors is utilized to measure the water’s flow rate. These sensors are controlled by a controller that has the ability to process the gathered data from the sensors. For the purpose of supplying water to the users, the system is additionally connected with an electrically controlled solenoid valve. The water flow rate is regularly monitored using the flow sensor and updated to the cloud platform which is implemented using Thingspeak. This platform is also monitored by government officials who perform data analysis and storage. When the water flow rate exceeds a pre-determined threshold, the solenoid valve that controls the flow of water is shut down and a water theft alert message will be sent to the customer to his registered mobile number using the telegram application. The excess flow rate is observed by government officials who can take up necessary legal action.
TELEDENTISTRY
Authors: S Dr. Saranya , D Dr. Surya , V Dr. Gopinath
Published: June 2024

Teledentistry is a rapidly growing field in the dental industry that utilizes telecommunication technology to provide dental care remotely. Through virtual consultations, dentists can diagnose oral health issues, provide treatment recommendations, and even prescribe medications without the need for an in-person visit. This innovative approach to dental care offers several benefits, including increased access to care for individuals in rural or underserved areas, reduced travel time and expenses for patients, and improved convenience and flexibility. However, it is important to note that teledentistry has its limitations and is not suitable for all types of dental procedures. In cases where a physical examination or hands-on treatment is necessary, an in-person visit to a dental office may still be required. Nonetheless, teledentistry holds great potential for expanding access to quality dental care and improving oral health outcomes.
ADVANCED DIAGNOSTIC AIDS IN ORAL CANCER
Authors: J Dr. Porkodi Sudha , Raman Dr. Swathi , Shankar Dr. Dinesh
Published: June 2024

Oral squamous cell carcinoma (OSCC) is the sixth most common cancer globally with high mortality rates. Early diagnosis of OSCC helps in reducing the mortality rates. Various diagnostic methods have been used globally in diagnosing of oral carcinoma. In this chapter we will be discussing some basic and conventional diagnosing aids as well as advanced diagnostic aids with their merits and demerits in OSCC diagnosis
DESIGN AND ANALYSIS OF MULTI - ARM ANTENNA FOR SMART AGRICULTURE
Authors: Rajarajeshwari K. C. , Dharani S. , Anand K. R. Gokul , Poornima T.
Published: June 2024

In this chapter, a small, closed Bicone strip antenna for internet-of-things (IoT) applications is demonstrated. The folded Bicone strip construction of the antenna has a closed hat with a hat height of 5.675mm. The novel antenna was initially intended without hat; however, hat, an extremely miniature antenna, was added to enhance overall antenna performance. From 780 to 940 MHz, the given antenna functions in many frequency bands. As compared to a normal Bicone strip patch antenna operating at the same frequency, the final design procedure reduces the antenna size at 865–867 MHz by 80%. Therefore, rigid and dynamic antenna designs meet the IoT's functional and physical specifications while achieving high electromagnetic efficiencies relative to their small size with reasonable gains.
DESIGN AND IMPLEMENTATION OF REALTIME MONITORING OF BRIDGE USNG MACHINE LEARNING
Authors: N Nataraja , P Dr. Satyasrikanth , Bolla Dr. Dileep Reddy , Keshavamurthy Dr.
Published: June 2024

Bridges are vital components of transportation systems, facilitating safe passage for vehicles, pedestrians, and goods. However, they face numerous environmental and structural challenges, such as temperature fluctuations, heavy traffic, wind, and seismic events. Over time, these factors can lead to wear and tear, potentially causing structural damage that jeopardizes safety and escalates maintenance costs.
BLOCK CHAIN FOR CLOUD OF THINGS
Authors: Sofia Dr. V. S. Anita , D. Sowmyadevi Dr. , I. Shanmugapriya Dr.
Published: June 2024

The age of blockchain dominates the market. Due to its decentralization, transparency and security features, blockchain has become a disruptive technology for many industries of the future. One of them is the Internet of Things, provided by the combination of cloud computing and IoT. BCloud of Things is a revolutionary system that combines blockchain and CoT, thus making a major contribution to the relevant model.Blockchain is a distributed information system that differs from traditional information in the way it is stored. The data in the blockchain is stored in blocks that are linked together using cryptography. When new data is received, add it to the nearest block. When a block is filled with data, the data is linked to the previous block in the order it was written. Cloud computing and IoT can be combined to form CoT.An advanced cloud-based IoT application platform (called CoT) supports remote monitoring, control and management of IoT devices. IoT represents a continuous flow of next-generation applications of world-class IoT services. IoT products generate massive amounts of data that can be processed and searched in the cloud to provide valuable insights. This information is sensitive information used by many smart services and applications. A replacement paradigm, known as the cloud of Things, has been established in the current period by fusing cloud computing and, consequently, the web of things. The term "cloud of things" refers to a platform for the cost-effective and intelligent usage of applications and information. Each technology makes it possible to increase power in the future. However, combining those two technologies presents some challenging problems.
SWARM AND SWARM INTELLIGENCE – INTRODUCTORY STUDY INTO COLLECTIVE BEHAVIOUR OF NATURAL AND ARTIFICIAL SYSTEMS
Authors: Priya A. Manju , Daniel T. Biju , Padmapriya V. , Praveena S. Esther
Published: June 2024

Swarm intelligence, inspired by the collective behavior observed in social organisms, has emerged as a powerful paradigm in both natural and artificial systems. The concept of a swarm refers to a large group of simple agents that interact locally with one another and their environment, giving rise to complex and intelligent behavior at the group level. Swarm intelligence, on the other hand, represents the ability of a swarm to self-organize, adapt, and solve complex problems without central control. In nature, swarms of social insects such as bees, ants, termites, and birds exhibit remarkable abilities in foraging, navigation, resource allocation, and defense. These organisms demonstrate how the interactions of simple individuals can lead to efficient and robust solutions to various challenges faced in their environments. In artificial systems, researchers have successfully translated the principles of swarm intelligence into algorithms and techniques for optimization, decision-making, and problem-solving. Popular swarm intelligence algorithms, such as Ant Colony Optimization, Particle Swarm Optimization, and Artificial Bee Colony, have shown great promise in tackling complex optimization and search tasks. This paper provides an overview of the fundamental concepts of swarm intelligence and explores the similarities and differences between natural and artificial swarms. It delves into the principles of self-organization, decentralized decision-making, and adaptation that underpin swarm intelligence, allowing these systems to cope with dynamic and uncertain environments. Furthermore, the paper examines the application domains of swarm intelligence, ranging from robotics and autonomous systems to data clustering, image processing, and network routing. The potential of swarm robotics in solving real-world challenges, such as environmental monitoring, disaster response, and precision agriculture, is also explored. Swarm intelligence presents a compelling avenue for understanding and harnessing emergent collective behavior in both biological and computational contexts. The interplay of simplicity, local interactions, and adaptation enables swarms to tackle complex problems efficiently, making them a valuable source of inspiration for the design of intelligent systems in various fields. The study of swarm intelligence continues to advance, offering exciting possibilities for creating adaptive, robust, and scalable solutions in the ever-evolving landscape of artificial intelligence and beyond.
PERCEPTION ANALYSIS OF SUSTAINABILITY THROUGH GHRM PRACTICES – A CASE STUDY OF GENERATION Z IN JHARKHAND
Authors: Jha Dr. Vidya , Pandey Dr. Priyanka
Published: June 2024

For the past few decades, the increased awareness of people about environmental issues has pressured organizations to become proactive in implementing GHRM practices. Progressive organizations must also take up green initiatives to achieve green organizational goals. The intellectual human capital, today, is more than willing to adapt to GHRM practices. This aspect has become a global concern and environmentalists, researchers, and academicians are working together towards it. This research paper aims to study the perception of Generation Z in Jharkhand about sustainability through GHRM. Data was collected from 206 respondents using a 7 – point Likert scale and analyzed using SPSS. The results reveal that the Generation Z of Jharkhand is very well aware of the importance of GHRM and Sustainability and also strongly believes that there is a significant relationship between the two. However, it was observed that a significant proportion of the respondents did not strongly agree with some of the GHRM practices like E-recruitment, Green Induction, etc. The researchers conclude that this may be due to the lack of the ability to show their abilities during lockdown during Covid-19.
LEVERAGING DATABASE AND PREDICTIVE ANALYSIS FOR ASSESSING EMPLOYEE ATTRITION RISK AND PROMOTING DIVERSITY, EQUITY AND INCLUSION
Authors: Murkute Dr. Prachi Ajit
Published: June 2024

Employee turnover poses a substantial threat to organizational productivity, morale, and financial stability. The complexity of identifying and comprehending the myriad factors influencing employee attrition is particularly pronounced in large organizations characterized by diverse workforces. In response to this challenge, the advent of data analytics and predictive analysis techniques has emerged as a transformative force, offering Human Resources (HR) professionals’ innovative tools to enhance their ability to assess and mitigate the risk of employee departures. This chapter delves into the utilization of databases and predictive analysis as instrumental components in identifying potential attrition risks. By harnessing the power of data, organizations can gain valuable insights into patterns and trends that precede employee turnover. Through the application of predictive analysis, HR professionals can develop a nuanced understanding of the factors contributing to attrition, enabling them to proactively address these issues before they escalate. The proactive nature of this approach empowers organizations to craft targeted retention strategies, fostering an environment that promotes employee satisfaction and loyalty. As the narrative unfolds, the chapter explores real-world examples of successful implementations of data-driven strategies in diverse organizational settings. It underscores the potential of predictive analysis not only in minimizing turnover but also in elevating workforce management practices to a strategic level. Ultimately, this exploration serves as a guide for HR professionals seeking to leverage data analytics for effective employee retention and organizational success in the dynamic landscape of the contemporary workplace.
CUSTOMER SEGMENTATION FOR MARKETING
Authors: Banga Dishant
Published: June 2024

Customer segmentation is a crucial marketing strategy that involves dividing a target market into distinct groups based on shared characteristics, behaviours, or preferences. It allows businesses to better understand their customers and tailor their marketing efforts to specific segments, ultimately driving customer satisfaction, loyalty, and business growth. This article provides an overview of customer segmentation, its benefits, and various methods commonly used in the process. It emphasizes the importance of data-driven approaches and highlights the role of advanced analytics techniques in identifying meaningful customer segments. The article explores different segmentation variables, including demographic, psychographic, behavioural, and geographic factors, and discusses their relevance in understanding customer behaviour and preferences. It emphasizes the need for selecting variables that align with business objectives and provide actionable insights. Furthermore, the article delves into the methodology of customer segmentation, outlining the key steps involved, such as data collection, data analysis, segment profiling, and evaluation of segment viability. It emphasizes the iterative nature of the process, emphasizing the need for continuous monitoring and refinement of segmentation strategies. The article also presents real-world examples of customer segmentation, showcasing how businesses across various industries have successfully implemented segmentation strategies to improve targeting, personalization, and customer experiences. Lastly, the article discusses the challenges and limitations of customer segmentation, such as data quality issues, dynamic market conditions, and the need for ongoing segmentation updates. It emphasizes the importance of integrating segmentation with other marketing strategies and leveraging technology solutions for effective implementation. By understanding and leveraging customer segmentation, businesses can gain valuable insights into their customer base, enabling them to develop tailored marketing strategies, enhance customer experiences, and drive business success.
EMERGING TRENDS IN RECURITMENT (RECRUITMENT REVOLUTION: FUTURISTIC TRENDS IN TALENT ACQUISITION)
Authors: Mamta Ms. , Bansal Yogita
Published: June 2024

The chapter explores emerging trends that are reshaping talent acquisition practices, driven by technological advancements and changing workforce dynamics. It introduces the pivotal role of Artificial Intelligence (AI) in streamlining recruitment processes, enabling efficient candidate identification, engagement, and selection. The use of AI-powered tools for resume screening, candidate matching, interview scheduling, video interviewing, and diversity promotion is discussed, emphasizing the benefits of efficiency, objectivity, and enhanced candidate experience. Furthermore, the chapter envisions futuristic recruitment trends for 2023, taking into account evolving strategies in the face of a competitive job market. It anticipates a stronger emphasis on upskilling to align with rapidly changing job market requirements. The increasing significance of remote work options, propelled by the pandemic, is highlighted, along with its impact on a diverse and global talent pool. The chapter underscores the continued integration of AI and automation, driving data-driven decision-making in recruitment processes. Additionally, it stresses the growing importance of candidate experience and the use of social media in employer branding and recruitment strategies. In conclusion, the chapter underlines the necessity for organizations to adapt to emerging trends in talent acquisition to remain competitive. By incorporating AI, fostering diversity and inclusion, and leveraging remote work opportunities, organizations can effectively attract and retain top talent.
VIABILITY OF BIOFUELS IN INDIA
Authors: Dasika Pracheth , Ashar Arya
Published: June 2024

The viability of biofuel as an energy source has gained a significant amount of attention in India due to various reasons such as rural development and a green environment. The feasibility of biofuel is calculated by testing and examining the availability of biomass resources and their conversion technologies and their efficiency in the generation of energy. This study gives us a comprehensive viability analysis of biomass utilization for energy production in the context of the Indian market. The research uses a multidimensional approach that adds up several factors such as technical and economic factors, and environmental and social factors to give the feasibility and sustainability of biofuel and its energy systems. The results show insights into the favorable utilization of biofuel resources and technology pathways that should maximize the energy efficiency of the Indian biofuel market.
EVOLUTIONARY NEED FOR BETTER MARKETING PRACTICES BY TEXTILE WHOLESALERS
Authors: Dcunha Joanna C M
Published: June 2024

The textile industry is vast and intricate, with its varied products and consumers. With rampant globalization that spiked during the Corona virus pandemic, there is a marked relevance for the use of online and other promotional methods of marketing. Marketing in general has also been an increased activity in every industry. This is because, in recent years the world economy has taken a beating, and it’s only the survival of the fittest and those that are quick adapters to change are able to prosper. The textile wholesaler is one link in the textile supply chain. They now function as distributers, or essentially middlemen. Internet Globalization is making middlemen redundant. Companies can reach direct consumers easily for purpose of sales by using various technologies over the internet. Consumers also have stepped up in trusting online purchase and payment processes. It’s important to have a textile wholesaler ready for the all kinds of future competition and aware of present loss of sales that has come from untapped opportunity. The area of research and application of strategies in marketing for a textile wholesaler is still fairly untapped. The main focus of marketing strategy has always been the retail sector, as they sell in smaller quantities to single consumers. So logically a great deal of effort is needed to break-even. Wholesalers have been operating the traditional way and don’t see the need to change their approach to selling. This lack of foresight is a threat to their survival and growth. With the changing economic and technological environment, manufacturers have less dependence on wholesalers to help them distribute their goods in the market. This study is an attempt to delve in the marketing practices of textile wholesalers in general, and offers a starting point for future research and development of the wholesale industry in the field of marketing.
MARKETING OF DIAGNOSTIC TEST KITS: DEALER’S PERSPECTIVES
Authors: Vaishali Dr. Ajotikar. M. , Mrunal Dr. Ajotikar .V.
Published: June 2024

Dealers act as a bridge between manufacturers (companies) and the end users. They purchase the test kits from suppliers/companies and in return sell these kits to the clients. At one end they themselves act as a purchaser and at the other end they act as seller. The paper attempts to know the mode of procurement of diagnostic kits by the dealers, their expectations from companies in marketing of kits, the satisfaction of dealers towards marketing policies adopted by companies and their perception about clients purchase preferences. A census survey method was used to collect primary data by interviewing 28 dealers in Pune city. It was found that almost all the dealers purchased test kits from companies and in case of complaints replaced the kits. Follow-up by company representatives and the product brooches are the most important rated factors by the dealers in case of company’s support. Sales people’s approach is the highest rated factor in satisfaction of dealers regarding company policies and accurate result is the most preferred attribute as perceived by dealers when enquired about client’s preference while purchasing test kits.
STATUS OF SHG-BANK LINKAGE PROGRAMME IN NORTH-EAST OF INDIA: A REVIEW
Authors: Patro Dr. Susanta Kumar
Published: June 2024

In spite of effective and concrete endeavor by the different governments, the programme on eradication of poverty was failed. The fact is that poverty in its acute form still persists with no change. One of the reasons for this state of affairs can be attributed with a fact that banks do not favour financing the poor. On the programmes of poverty alleviation, it is presuming that financing the poor is neither economic nor commercial. In this juncture, it also realized that the provision of linking the banks to the self help groups (SHGs) can solve the problem of financing the poor. Also it understood that the provision of financing the poor can enable to increase their income level by building human capital and by engaging themselves through entrepreneurial activities Further, it seems to be a right platform in eradicating poverty from its acute form and improving standard of living. In this regard, it was assessed and known that the north-east areas are amongst the backward regions of the country. It witnessed all sorts of infrastructural deficiencies starting from proper communication, availability of banking agencies to under utilisation of resources, low literacy, as well as its geographical isolation. As a result, the economy of the people was not come up to the expectations because of their low per head income and low capital expenditure. In this article a novel attempt has been made to explore the current position of this region by using available secondary sources of data. Here, it is also assessed the different problems and challenges witnessed by microfinance programme through self help groups and bank linkage system in the northeastern region of India.
START UP’S
Authors: G Sowmya , R Kiran Dr.
Published: June 2024

The development of a startup provides useful insights for business executives, entrepreneurs, and anybody else eager to start their own firm. This chapter shows the unyielding spirit of invention and entrepreneurship that fuels the expansion of the startup ecosystem through its compelling tale and insightful insights.
UNVEILING THE HIDDEN HORIZONS: EXPLORING THE VISTAS OF BIOMEDICAL AND MEDICAL IMAGING
Authors: Anantraj Mr. , B. Umarani Dr. , S. Senthil Mr. , G. Ignisha Rajathi Dr.
Published: June 2024

This book chapter delves into the wide-ranging applications of biomedical and medical imaging, showcasing the significant advancements in this field. Biomedical and medical imaging techniques have revolutionized healthcare by providing non-invasive methods to visualize internal structures and processes in the human body. This chapter provides a comprehensive overview of various imaging modalities, including ultrasonography, positron emission tomography (PET), magnetic resonance imaging (MRI), computed tomography (CT), and X-ray. Chapter begins by exploring the fundamental principles behind each imaging technique, elucidating the underlying physics and signal acquisition mechanisms. It then delves into the practical applications of these techniques in different medical domains. Topics covered include the use of X-ray imaging for bone fractures and dental applications, CT scanning for identifying tumors and internal injuries, MRI for detailed anatomical imaging and functional assessments, PET for cancer detection and molecular imaging, and ultrasound for obstetric imaging and cardiovascular evaluations. Furthermore, the chapter sheds light on emerging imaging technologies and their potential impact on healthcare. It discusses combining machine learning and artificial intelligence algorithms with imaging data, enabling automated analysis, disease diagnosis, and treatment planning. Moreover, it highlights the advancements in molecular imaging and nanotechnology, paving the way for targeted therapies and personalized medicine. Throughout the chapter, real-world case studies and examples illustrate the practical implications of biomedical and medical imaging. These success stories underscore the invaluable role of imaging techniques in early disease detection, precise diagnosis, and monitoring treatment efficacy. In conclusion, this book chapter provides an in-depth exploration of the applications of biomedical and medical imaging. It is a thorough resource for medical professionals, researchers, and students that are interested in comprehending the ideas, advancements, and potential future directions of this rapidly evolving field.
TRANSDERMAL PATCHES; AN ARCHITECT OF THE FUTURE DRUG DELIVERY
Authors: Sarkar Raktimava Das , Roy Gouranga Sundar , Bose Aryama , Ghosh Rashmi , Mondal Adrika
Published: June 2024

From topical Poultice to novel skin penetrating applications came at the mid of 20th century with Transdermal Patch. The transdermal novel patch evolved with an intention to justify a slow but uniform release, than an irregular old fashioned uncontrolled poultice and similar applications. With the model invention of measuring the release pattern; now, a handful of many release-kinetics measurer are existent. From the laboratory scale to pilot and terminally, commercial transdermal identity of patches exists with many Pharmacophore. FDA has guidelines to qualify and quantify manufacture and quality assured Topical Transdermal Drug for New Drug Delivery System and Abbreviated New Drug Delivery System. In our lab, subsequent to few earlier attempts; we are working on HERBAL-TRANSDERMAL-PATCH (HTDP) formulations. Generally herbal pharmacophore exists in a group of similar structural entities; with different potentials of disease reliever mechanisms. One single 2x2 square centimetre patch with herbal extract can manage 5.0 millilitres of the soft extract. Accommodating an extract as 5 ml; a release of more than 80%; in 12.0 hours, is a comfortable optimum herboceutical for the patient? But the chemical proteinous moiety is not a choice for oral Leaf administration as old as, more than 5000 B.C.; since older than Vedic Era, of the acquaintances of its Ethno-botanical existence, as for example. We all know that protein, water soluble, in this case, must prove, in very near future, about its recognition as HTDP.
INDUSTRIAL PROCESSING AND BASIC PRINCIPLES INCLUDING CRYSTALLIZATION AND LYOPHILIZATION
Authors: Hegde Yashoda Mariappa , N Rajesh Kumar , Srinivas Geetha , Yashoda Mariappa Hegde Ms.
Published: June 2024

Industrial processes transform or separates raw material into pharmaceutically acceptable products like drugs and excipients. Pharmaceutical engineering is used for production of dosage forms, manufacturing of bulk drugs, production of biological and antibiotics. Several unit operations and unit process (physical and chemical) are carried in a sequential order to achieve a process efficiently and economically. In this chapter, we shall discuss in detail about two critical process namely, crystallization and lyophilization which is widely applicable in industrial processing of pharmaceuticals. Crystallization is the process by which the particles spontaneously arrange themselves into a regular, ordered array or predictable geometric structure. Whereas Lyophilization, also known as freeze drying, is the process of removing bound water molecules as well as ice or other frozen solvents from a material through the processes of desorption and sublimation. This chapter mainly focuses on objectives and applications, the major steps and theories involved in the process, factors affecting the process, principle, working, construction, advantages and disadvantages of equipments used for Crystallization and Lyophilization respectively.
PHARMACOKINETIC AND PHARMACODYNAMIC APPLICATION TO THE USE OF PEPTIDES AND PROTEINS IN DRUG DELIVERY
Authors: S Ragul , R Vignesh , R Gayathri , N Kirithiga
Published: June 2024

Proteins and peptides are fundamental components of biological systems, serving crucial roles in various physiological functions. The chapter reviews the essential functions that proteins and peptides perform in novel drug delivery systems, highlighting the variety of roles that these molecules play in biological systems as structural components, hormones, enzymes, and immunoglobulins. It describes the details of drug delivery systemsand their various clinical applications. This topic also provides informationregarding the use of pharmacokinetic and pharmacodynamic applications in therapeutics and diagnostics. These applications have an impact on dosage calculation, therapeutic monitoring in preclinical and clinical settings, and pharmaceutical development.
AN OVERVIEW AND ANALYSIS OF PROTECTION AND GROUNDING TECHNIQUES IN RENEWABLE ENERGY SYSTEMS
Authors: Anuradha Ms. , Manoj Tiwari Mr.
Published: June 2024

In renewable energy systems, earthing is essential for various components, including PV modules, inverters, wind turbine towers, and energy storage systems. Proper equipment grounding helps discharge fault currents safely, preventing electrical hazards and reducing the risk of equipment damage during normal operation and fault conditions. Moreover, in wind power systems, grounding is crucial for protecting against lightning strikes and static discharges. Current paper explores various earthing strategies for renewable energy installations considering the unique requirements of each. Grounding techniques for sensitive electronic loads, neutral grounding, and ground fault protection are also discussed to address specific challenges in microgrid applications. Compliance with safety standards and regulations related to earthing is essential for the safe and reliable operation of renewable energy systems.
BIOMASS ENERGY AS A CARBON NEUTRAL ENERGY SOURCE: PRECAUTIONS FOR THE FUTURE USE
Authors: Salimath Supriya K. , P.A Clara Manasa , Hegde Ramakrishna , N.L Deepthi Dechamma
Published: June 2024

While recently experiencing the warmest months, Earth's temperature has risen over the past few decades. The main contributor to global climate change is an increase in greenhouse gases brought on by human activities. Finding an alternative to fossil fuels, which are the largest contributor to the negative consequences of climate change, is the fundamental objective of the worldwide effort to reduce greenhouse gas emissions. Biomass is currently garnering interest as a source of energy due to its ability to be renewed, the potential for decentralized production, and—most importantly—its carbon neutrality. People are burning more wood for fuel due to the concept of carbon neutrality rather than utilizing sustainable harvesting and replanting methods, which might have a substantial influence on the stocks of terrestrial carbon and atmospheric carbon. In comparison to continued use of fossil fuels, woody biomass has various degrees of ability to reduce human emissions in the atmosphere depending on the source of biomass employed and the time horizon taken into consideration. Forests, on the other hand, act as a net carbon source, releasing more carbon than they store and eventually raising the atmospheric concentration of CO2Although most regulatory frameworks for renewable energy assume that burning biomass is carbon neutral, this assumption cannot be made since burning biomass emits more carbon per unit of energy than burning most fossil fuels when considered the various aspects.
DSTATCOM CONTROL TECHNIQUES: AN OVERVIEW
Authors: B V Divya , Archana N V Dr.
Published: June 2024

This paper presents an overview of different control theories and control techniques associated with DSTATCOM; simulation results are presented. Results show the improvement in the power quality, at different stages with the connection of DSTATCOM. To carry out the simulation, a small microgrid consisting of DG system, PV panel with constant and variable loads are considered. Considered microgrid is connected to the utility grid through PCC (point of common coupling), simulation is carried out when microgrid is connected to utility grid which acts as grid connected mode and as well as when microgrid is disconnected from utility grid, which acts as islanded mode. In both the modes of operation, power quality is observed at the load side. Power quality in any AC grid is defined by three variables, load voltage magnitude, frequency at load and THD of load current. It was observed through the simulation, Power quality at load side gets effected when working in islanded mode due to the variation in load, this leads to transients. These transients can be easily mitigated using properly designed DSTATCOM. The control signals required for DSTATCOM can be generated using different control techniques. Compression of different control techniques such as Instantaneous reactive power theory (IRP) with conventional PI controller, Synchronous reference frame (SRF), Hysteresis current controller and Model predictive controller (MPC) is presented. Simulation is carried out using MATLAB in Simulink environment.