bluuebunny/crossref_metadata_2025 huggingface dataset:
ALTERNATIVE MARINE FUELS: A GREEN APPROACH TOWARDS ACHIEVING CARBON NEUTRALITY
Authors: Ankuria A. , Biswas O. , Giri B. , Mime M.
Published: June 2024

The fisheries sector is experiencing rapid growth to meet the escalating global demand for seafood. One critical factor contributing to the environmental impact of this sector is fuel consumption, which varies significantly based on the fishing methods employed. This paper reviews the findings of numerous studies that have assessed the environmental implications of capture fisheries using the life cycle assessment (LCA) method. It is reported that the annual fuel consumption in the fisheries industry amounts to approximately 50 million cubic meters, equivalent to 1.2% of global oil consumption. With global marine fish and invertebrate landings reaching 80.4 million tonnes, the average fuel-use intensity stands at 620 liters (527 kg) per live weight tonne or approximately 1.9 tonnes of catch per tonne of fuel. Fishing vessels collectively release 134 million kilograms of carbon dioxide (CO2) into the atmosphere, averaging 1.7 kg of CO2 emissions per tonne of live-weight landings. Specifically in India, mechanized and motorized fishing boats emit 1.18 tonnes of CO2 per tonne of fish caught. Among these mechanized vessels, trawlers exhibit higher CO2 emissions (1.43 t CO2/t of fish) compared to gillnetters, baguettes, seiners, liners, and do letters (ranging from 0.56 to 1.07 t CO2/t of fish). To address the pressing need for reducing carbon emissions from the maritime industry, alternative fuels and energy sources have gained significant attention, aligning with the goal of achieving carbon neutrality. Various countries, including Japan, Europe, Australia, China, Poland, and Norway, have been at the forefront of exploring alternative marine fuels. This paper delves into ten potential alternative fuels that hold promise for powering future marine vessels in the quest for sustainability and carbon neutrality. As the shipping sector increasingly commits to achieving carbon neutrality, transitioning to alternative fuels and energy sources emerges as a practical and necessary choice. This transition not only mitigates the environmental impact of the fisheries sector but also contributes to the global effort to combat climate change
BIOMASS: SUSTAINABLE RESOURCE TO EMPOWER BIO-BASED FUTURE
Authors: Kumar Ajay
Published: June 2024

For human civilization, fossil fuels have been essential, impacting technology, society, the economy, and global advancement. Coal, natural gas, and other fossil fuels make up the lion's share of today's energy supply. The environment and human life are seriously threatened by these non-renewable energy sources, which also contribute to air and water pollution and global warming. A fundamental component of energy, biomass can be used to generate renewable energy and create biofuels for use in transportation and electricity. Biofuels can be created utilizing a variety of methods and procedures and are obtained from biological carbon fixation. It is possible to transform biomass into useful products and energy in a renewable way using a range of techniques and procedures, a variety of methods and processes can be used to convert biomass into useful products and energy in a renewable way, both thermochemical and biochemical processes can convert biomass into fuels, chemicals, or electric energy. Heat and catalysts are used in thermochemical processes, whereas enzymes and microorganisms are used in biochemical processes. The use of nanotechnology and nanomaterials as instruments for biomass conversion has shown promise. Due to their small size, distinctive characteristics, and durability, nanoparticles (NPs) have many benefits over other sources for the synthesis of biofuels. The accurate chemical characterization of feedstocks employing tools like FT-ICR MS, GPC, and NMR can improve performance in biomass conversion reactions. Biomass conversion approaches for renewable energy production encounter hurdles. In order to increase reaction rates, selectivity, stability, and raw material solubility, it is important to develop more active, selective, and stable catalysts. Impurities in biomass-derived feedstocks can also impair catalyst activity, so it becomes necessary to design more active, stable, and selective catalysts.
OVERVIEW OF ENERGY STORAGE TECHNOLOGIES FOR MICRO GRID
Authors: N Suganthi. , Usha P.
Published: June 2024

Renewable energy resources are increasingly being able to reach the utility system. As renewable energy sources like wind and solar are uncontrollable and intermittent, its inclusion may cause issues with the utility grid's dynamics and power quality. The article discusses various energy storage plans that have been employed to lessen these problems. In order to achieve voltage control, frequency control, and active power stabilizations, energy storage techniques are primarily recommended. Implementing energy storage plans aids in improving the power plan's efficacy, reliability, and safety
FUTURISTIC TRENDS IN HOMEOPATHY: DISCOVERING NOVELTY, AMALGAMATION, AND PROGRESSIONS
Authors: O. Chachda Dr. Nilesh , N. Chachda Dr. Monica
Published: June 2024

This chapter explores the potential of Artificial Intelligence (AI) and Machine Learning (ML) in homeopathy, envisioning a transformative role in integrative healthcare. The integration of advanced technology in homeopathic practice is highlighted, offering personalized treatment plans and enhancing precision in patient care. Challenges in homeopathic practice, such as remedy selection and analysis, can be addressed by AI-driven algorithms that continuously learn from patient data. The chapter emphasizes patient empowerment and engagement through AI-driven personalized treatment plans, fostering a deeper understanding of health conditions and remedy selection. Ethical considerations regarding data privacy and patient confidentiality are discussed, promoting responsible AI integration. The future landscape envisions AI-powered homeopathic platforms and collaborative research initiatives, aligning with homeopathic principles while advancing holistic care in the ever-evolving field of medicine.
ROLE OF NON TIMBER FOREST PRODUCTS IN HEALTH AND NUTRITION: A STUDY OF WILD EDIBLE PLANTS IN CHAMBA VALLEY OF NORTH WESTERN HIMALAYAS
Authors: Sumit Mr. , Poonam Sabrwal Dr. , Gulshan Kumar Dr. , Thakur Monika
Published: June 2024

Non timber forest products (NTFP) are the products that are produced in forests other than timber. NTFP includes wild fruits and vegetables, mushrooms, wild meat, edible insects, honey, medicinal plants etc. Wild edible plants (WEPs) are among the most commonly used NTFPs. Man has been traditionally using forest resources to fulfil his daily needs. WEPs have played an important role in health and nutrition since ages. The inhabitants of Chamba have been using WEPs as dietary supplements for hundreds of years. Even after the development of modern system, people particularly of lower income from rural background still depends on WEPs due to high cost of vegetables and fruits and easy availability of WEPs in their vicinity. This traditional knowledge is in danger because the transmission of information between the older and younger generation no longer exists. Therefore, sincere efforts should be made by all to preserve this knowledge. Additionally, it will assist locals in generating income. An ethnobotanical survey of wild edible plants was carried out in various regions of Chamba valley of North Western Himalayas. The data was collected through interviews and face-to-face individual discussions. A total of 30 species belonging to 27 genera and 19 families are listed in this paper. The objective of this study is to access the richness of wild edible plants used by the local people of Chamba valley of North Western Himalayas
SUSTAINABLE BIOLOGICAL MANAGEMENT OF IMPORTANT TEMPERATE FRUIT DISEASES FOR QUALITY FRUIT PRODUCTION
Authors: Anwar Ali , Nisa Qadrul , Shahnaz Efath , Bhat Mudasir , Nabi Asha , Gupta Vikas
Published: June 2024

Sustainable biological management of important temperate fruit diseases involves utilizing ecological and biological principles to control or mitigate the impact of diseases on fruit crops. This approach focuses on minimizing the use of synthetic chemicals and promoting practices that are environmentally friendly, economically viable, and socially responsible. This chapter explores innovative strategies for the sustainable biological management of key temperate fruit diseases, aiming to enhance fruit quality while minimizing environmental impact. Focusing on ecological principles, the chapter discusses practices such as crop rotation, the use of resistant varieties, biological control, companion planting, and organic amendments. The chapter includes the various plant diseases and their sustainable management through various biological practices. It emphasizes the importance of maintaining a balanced ecosystem through proper irrigation, sanitation, and cultural practices. Integrated Pest Management (IPM) approaches and the role of education, research, and innovation are highlighted to empower growers in adopting environmentally friendly and economically viable methods. By providing a comprehensive overview of sustainable biological management practices, this chapter aims to contribute to the promotion of resilient and ecologically sound fruit production systems.
RIVERINE FISHERIES OF INDIA
Authors: Mehta Pragya , Aahalwat Shikha , Sharma Shweta , Singh Dilbag , Jatav Siddharth Kumar , Soni Ajeet
Published: June 2024

The Indian river system is a vast and complex network of rivers and their tributaries that crisscross the entire country. It plays a crucial role in India's geography, culture, economy, and ecology. The sources of rivers are diverse, including glaciers, mountains, and precipitation. These rivers traverse a variety of terrains, spanning from the snow-covered Himalayas in the northern region to the peninsular plateaus in the southern region. Within the country, there are 14 significant rivers (with a catchment area exceeding 20,000 km²), 44 moderate rivers (with a catchment area ranging from 2,000 to 20,000 km²), and countless minor rivers (with a catchment area less than 2,000 km²). The Indian riverine system can be broadly categorized into two main groups: Himalayan Rivers, encompassing significant waterways like the Indus, the Ganges, and the Brahmaputra, along with their tributaries; and the Peninsular Rivers, divided into the East Coast (Mahanadi, Krishna, Godavari, Cauvery) and West Coast (Narmada and Tapti) rivers, Apart from these major rivers, India is also home to numerous other rivers, both big and small, which contribute to the diverse ecology and livelihoods of people living along their banks. The rivers of India host incredibly varied fish communities, supporting the sustenance and livelihoods of millions of individuals, particularly in rural regions. There are 999 freshwater species of fish in India, out of a total of 2801 species. However, the Indian river system faces various challenges, including pollution, over-extraction of water, encroachments, and climate change impacts. Conservation and sustainable management efforts are essential to safeguard these vital water bodies and ensure their well-being for future generations.
AGRICULTURAL WASTE MANAGEMENT
Authors: Singh Nibha , Singh Dilbag
Published: June 2024

Waste management in agriculture is a critical component of sustainable farming practices. This review highlights the importance of managing agricultural waste to maintain soil health, minimize environmental pollution, and ensure long-term productivity. Agricultural waste encompasses diverse materials such as crop residues, animal manure, and agrochemical containers. Effective waste management practices, including composting, recycling, and responsible pesticide use, can transform waste into valuable resources while reducing the environmental impact. Furthermore, integrated pest management and biogas generation from organic waste contribute to sustainable agricultural systems. However, managing agricultural waste presents challenges due to its volume, variety, nutrient loss, potential pollution, storage requirements, regulatory compliance, and economic viability. These challenges require education, infrastructure development, policy support, and collaboration among stakeholders. By prioritizing waste management in agriculture, farmers can contribute to a sustainable food system that supports food security, preserves resources, and safeguards the environment for future generations.
ROLE OF SOIL MICROBES IN MAINTAINING HEALTHY SOIL ENVIRONMENT
Authors: Lata Pushap , Dalal Jyoti , Lakhlan Meenu , Tirdia Mamta , Gupta Lalita
Published: June 2024

Pesticides are chemical compounds used to eliminate pests, with herbicides being especially poisonous to weeds, making them useful for protecting crops against invasive species. However, the excessive and long-term use of these chemicals has resulted in serious issues such as soil, water, and, to a lesser degree, air pollution, which has a negative impact on the ecosystem and food chain. Soil contamination caused by residual pesticide concentrations frequently exceeds regulatory allowed limits. As a result, the task is to lower these chemical levels and develop agriculturally viable soils for producing environmentally friendly crops. Bioremediation, which employs the microbial metabolism of indigenous microorganisms, is a more environmentally friendly, cost-effective, and efficient alternative to physical and chemical techniques. There are several biodegradation strategies available, each based on bacterial, fungal, or enzymatic processes.Regulations on pesticide use are closely related to their environmental impacts. Countries now implement regulations to restrict pesticide consumption, ban the most harmful ones, and define acceptable concentrations in the soil. However, this variability in regulations leads to diverse perceptions of the toxicology of these compounds, resulting in different market values for crops grown in different regions. This chapter provides an overview of bioremediation methods for soils contaminated with commercial pesticides, considering the characteristics, classification, toxicity, and relevant legislation in force around the world.
MAGNETIC PROPERTIES OF TRANSITION METAL COMPLEX
Authors: Dongapure Avinash Chandrakant
Published: June 2024

In this abstract, the magnetic characteristics of transition metal complexes are briefly reviewed, along with the Spin-Only formula, Louis Georges Gouy's technique, and orbital contributions to the magnetic moment. It also covers kinetic and thermodynamic features, including formation constants, stability-affecting variables, and thermodynamic and kinetic stability. It also refers to Job's approach to figuring out the difficult composition. The Gouy balance, invented by Louis Georges Gouy, is a device used to determine the magnetic susceptibility of a sample. It enables researchers to precisely determine this feature without resorting to plagiarism (1).
APPLICATIONS OF HYPHENATED TECHNIQUES IN PHARMACEUTICAL SCIENCES
Authors: Potey Lata , Armarkar Ashwini , Chapekar Shilpa , Shete Yogini , Birade Pooja , Waghmare Suchita
Published: June 2024

The hyphenation term was introduced by Thomas Hirschfield in 1980. Hyphenated techniques are exponentially to deal with various complicated challenges faced by analyst in analytical chemistry. It is the fusion of chromatographic methods and spectrometric or spectroscopic methods. Chromatographic methods are separation methods which separate component in the complex mixture like gas chromatography (GC), liquid chromatography (LC), high-performance liquid chromatography (HPLC) and capillary electrophoresis (CE). Spectroscopy use to elucidate the structure, molecular mass of compounds like UV, IR, Mass, Raman, Fluroescence spectroscopy. The remarkable improvements in hyphenated analytical methods over the last two decades have significantly broadened their applications in the analysis of biomaterials, especially natural products. Nowadays, various types of hyphenated techniques incorporating different types of interfaces are available commercially to show better analysis of the samples is components specificity, accuracy, precision. In this chapter, we have emphasized on most common types of double and triple hyphenated techniques like GC-MS, LC-MS, LC-FTIR, LC-NMR, LC-NMR-MS, etc and their applications in the field of pharmaceutical sciences.
ADVANCED SYNTHESIS OF GOLD AND IRON OXIDE HYBRID NANOCOMPOSITE MATERIALS AS MAGNETICALLY RECYCLABLE SUPERIOR CATALYST
Authors: Bhuyan Diganta
Published: June 2024

Advanced magnetic nanocomposites with different morphology and multiple functionalities have been intensively investigated by the materials scientist due to their serendipitous physico-chemical properties and potential applicabilities. Gold and iron oxide (Au–FexOy) nanocomposites inherited excellent stability, solvent compatibility, magnetic separability, post-modification ability etc. All of these properties greatly enhanced their extensive applications in different fields such as diagnostic, drug delivery, biosensor, catalysis etc. These nanocomposites generally exhibited a binary or a core/shell nanostructure that can be modifiable with various functional groups/moieties on the surface to enhance their compatibility and stability.The advancement in the research for controlling functionality can provide various routes for synthesizing novel Au–FexOy hybrid nanocomposite materials. The application of Au–FexOy hybrid nanocomposites is mostly dependent on their morphology, composition, stability of the as-synthesized materials. Therefore, the booming combinations of gold and Iron oxide are promising to get a hybrid nanocomposite with serendipitous and advantageous properties from both gold and iron oxide nanoparticles (NPs). Recently, Au–FexOy hybrid nanocomposites were successfully employed as catalyst towards oxidation of carbon monoxide (CO), Epoxidation, Benzyl alcohol oxidation, Peroxidase-like activity, reduction hydrogen peroxide (H2O2) etc. The Au–FexOy hybrid nanocomposites catalysts enable an excellent magnetic separation method for its recyclization. Moreover, the hybrid matrix remarkably stabilizes the Au0 NPs from being agglomerated and leached which ultimately enhances their reclabilty. It was obatined that Au–FexOy exhibited high catalytic effectiveness rather than the Au0 NPs alone because of synergetic effect which originates at interface of the gold and Iron oxide.
ADVANCE MATERIAL COPOLYMERS AND THEIR SURFACE MODIFICATION TECHNIQUES: A REVIEW
Authors: Maroti Maskey Dr. Sudhirkumar , Shende Dr. Sudhakar Shamrao
Published: June 2024

The advancement in the science and technology allowed human to develop new materials i.e. polymers. Now polymeric materials are used in nearly all the sector of today’s daily life and their production and fabrication is done in major worldwide industries. Polymers have some limitations for their applications in different sectors, since most of them possess properties like stiffness and low strength. Then synthesize a polymer taking two or more different monomer units that is called copolymer. Enhance applicability of copolymer are depend there surface therefore very necessary to surface modification. Many different techniques for surface modification they are Wet Chemical Oxidation, Graft Polymerization, Plasma Surface Modification, Corona Treatment and Surface Coatings. In above method surface coating are simple, less energetic and very efficient techniques. Surface modification of copolymers has done by surface coatings with used of chemical or other polymeric material. Surface modified copolymers are very efficient material which is use all areas of daily life.
HYBRID CARBON BASED CONDUCTING POLYMER NANOCOMPOSITE FOR IMPROVED ELECTROMAGNETIC INTERFERENCE SHIELDING EFFECTIVENESS
Authors: Modak P.R. , Nandanwar D.V.
Published: June 2024

The growing demand for high-quality electronic and communication devices in military, industrial, and commercial applications has resulted in electronic device and system compactness, which increases circuit complexity. This is a novel form of challenge that necessitates a slew of decisions on electromagnetic radiation as a result of repeated efforts. These electromagnetic radiations interfere with one another and have the potential to ruin the system, which is referred to as electromagnetic (EM) pollution. Because it interferes with the operation of a device or transmission channel, electromagnetic interference is a key source of concern. To solve this issue, scientific and research organizations have started to create a variety of materials for electromagnetic interference (EMI) shielding applications. Carbon has long been an enthralling chemical; allotropes of carbon, such as fullerenes, graphite, graphene, carbon nanotubes, and other fillers that improve EMI shielding, are of significant interest in a variety of frequency bands. Initially, Multiwalled Carbon Nanotubes (MWCNT) and Graphene (GNS) were functionalized to improve conducting polymer interface. Polyaniline/Carbon nanotube/Graphene (PANI)/(MWCNT)/(GNS) were synthesized using an in situ oxidative polymerization process, with the weight percent of MWCNT remaining constant while the weight percent of GNS increasing from 1-3, and then characterized using SEM and FTIR analysis. When compared to pure polyaniline, the electrical conductivity of the nanocomposites rises with increasing weight percent of GNS. Carbon-based conducting polymer nanocomposites demonstrated semi conductivity and improved EMI shielding performance. The EMI Shielding effectiveness (SE) of hybrid carbon-based conducting polymer nanocomposites grows as the weight percent of GNS increases. Absorption is the major mechanism for synthesized ternary nanocomposites and can be employed as an Electromagnetic Interference shielding material.
EMBRACING THE FUTURE: HARNESSING THE POWER OF NATURAL FLAVONOIDS IN NANOTECHNOLOGY
Authors: Malpani Dr. Manojkumar O.
Published: June 2024

Now a days nanotechnology has revolutionized numerous industries, including medicine, electronics, energy, and material science. The ability to manipulate matter at the nano scale has given rise to countless possibilities and promises to shape the future in unimaginable ways. Future of plant-based medicine and nanotechnology holds great potential for advancements in healthcare. Medicinal plants have been used for centuries to treat various ailments and diseases due to their natural compounds with therapeutic properties.In recent years researchers have explored the potential of incorporating flavonoids from medicinal plants into nanomaterials, paving the way or a sustainable and environment friendly future. This article explain the trends in nanomaterial by utilising the inherent properties of natural flavonoids.
A CARE STUDY ON SYNTHESIS OF 1,2,3-TRIAZOLE DERIVATIVES BY MEANS OF NANOPARTICLES AS A REUSABLE HETEROGENEOUS CATALYST
Authors: Raghavendra D. , Manasa Reddy S. , Dharma Rao G. B.
Published: June 2024

In recent years, nanotechnology is an emerging trend for the synthesis of medicinally significant and biologically dynamic derivatives as a heterogeneous catalyst because it’s simple and effortless work-up procedure. On the other hand, 1,2,3-triazole derivatives belongs to N-heterocyclic compounds and exhibit enormous biological activities as medicinal important. In this current chapter, the examination on importance and role of nanotechnology in preparation of 1,2,3-triazole analogues has been discussed and it make helpful for synthetic chemists or research scholar’s for the advanced developments in nanotechnology.
A CHAPTER ON ROLE OF NANOTECHNOLOGY IN SENSOR FABRICATION
Authors: Peramjeet Singh Dr. , Priya Gupta Dr. , Vernica Verma Dr. , Yadav Neetu , Narendra Kumar Pandey Professor.
Published: June 2024

The number of hazardous pollutants in the environment is increasing, which results in more air pollution and serious health risks in everyday life. To avoid these issues, it is necessary to precisely detect and identify these unstable and dangerous gases in the environment. Thus, by comprehending the concept of sensing, researchers have been able to fabricate nanosensors using various nanoparticles and composites to increase both the specificity and sensitivity of gases and humidity detection. The incorporation of nanomaterials has rendered it possible for scientists to apply novel methods in sensors for the transfer of signals to increase their efficiency and sensitivity. As a result of their unique material, magnetic, chemical, physical, and electrical characteristics, nanoparticles like metal oxides, graphene, ionic liquids, conductive polymeric materials, carbon nanotube materials, and particles of quantum dots have been extensively used to develop sensing devices with increased precision and sensitivity. For their improved efficiency, fast monitoring, and application in detecting hazardous gases, all nanoparticles and novel composites employed as sensors need to be synthesized and fabricated. The application of nanomaterials in the fabrication of novel sensing materials is also covered in this chapter. These characteristics of gas sensors can all be significantly enhanced by a reduction in the size of the particles in nanometers, metal doping, and innovations in device fabrication. The shape and spacing size of the electrodes, among the essential properties of the sensor, have significant effects on the gas sensing properties. The most significant features that influence the ability to detect gases are structural, surface, and type of semiconductor. These characteristics can all be modified by fabrication techniques. Therefore, the objective of this chapter is to provide an overview of the many sensing techniques as well as their fabrication, operation, and advancements in technology.
AN ENHANCED METHOD FOR THE CLASSIFICATION OF ECGS THROUGH DEEP LEARNING
Authors: Kumar P. V. Ravi , Prasad G N R , Savala Venkata Pavan Kumar , Ranganath Ponnaboyina , Yohan P M , Basha SK Althaf Hussain
Published: June 2024

The functionality of the cardiovascular system can be successfully evaluated through the use of electrocardiograms. In recent years, there has been a rise in the necessity of making a good diagnosis of arrhythmia. This is due to the fact that there are many commonalities between the various ECG limitations. They are unable to perform a more precise analysis of ECG graphs because rural areas do not have access to the most modern medical equipment and do not have sufficient numbers of trained medical professionals. Numerous people are losing their lives as a direct consequence of this. In this research, we describe a novel method for the categorization of arrhythmias and myocardial infarctions that is based on a convolution network of neurons that are deep in nature. In accordance with the AAMI EC57 standard, the model categorizes five distinct types of arrhythmias. In addition, we classified cases of myocardial infarction (MI) using the information collected from this work. For the purpose of evaluating our proposed model, we used diagnostic datasets provided by PhysionNet's MIT-BH and PTB. The findings demonstrated a significant increase in the accuracy of the classification of arrhythmia as well as MI. We are able to embed this software in a chip and make this product more readily available at more affordable prices in order to circumvent the resource scarcity that plagues medical treatment in rural or remote areas of any country.
PREDICTING THE SEVERITY OF ACCIDENTS
Authors: Ranganath Ponnaboyina , Prasad G N R , Savala Venkata Pavan Kumar , Kumar P. V. Ravi , Yohan P M , Basha SK Althaf Hussain
Published: June 2024

Every year, road accidents result in deaths and related economic losses globally. Therefore, it is the foremost area of societal concern when considering loss prevention. Modeling accident severity prediction and upgrading the model are crucial to the successful operation of road traffic systems for increased safety. In accident severity modeling, the input vectors consist of many data related to the accident, such as driver traits, roadway conditions, and environmental factors. The output vector represents the specific class of accident severity. In this chapter, we have created two classifiers, a decision tree classifier and a KNN classifier, for the purpose of predicting the severity of accidents. Both classifiers exhibit high accuracy rates, with KNN achieving a superior accuracy of 89.3% compared to the 85.5% accuracy of the decision tree classifier. The identification of the primary elements that impact the severity of accidents may provide valuable insights for Government Departments/Authorities such as the Police, Roads and Buildings, and Transport, from a public policy perspective. The Departments may use the findings of research and modeling to implement effective actions aimed at mitigating the effects of accidents and thus enhancing traffic safety.
DESIGN OF MACHINE LEARNING TOOLS FOR BIG DATA ANALYTICS
Authors: Vaideghy Mrs. A , Thiyagarajan Dr. C
Published: June 2024

Big data has increased in use in healthcare over the past few years as a result of three main factors: the large amount of data that is already available, rising healthcare costs, and an emphasis on individualized care. Big data processing in healthcare relates to the development, gathering, analysis, and storage of too huge or complex clinical data inferred by conventional data processing techniques. Examples of big data sources for the healthcare industry include the Internet of Things (IoT), Electronic Medical Record/Electronic Health Record (EMR/EHR), which holds patient's medical history, diagnoses, medications, treatment schedules, sensitivities, laboratory test results, genomic sequencing, medical images, insurances, etc. Many techniques related to machine learning approaches relevant to various healthcare data sets are discussed in this paper. Moreover, the challenges associated with handling massive data, their applications, and their processing are dealt in this study.
NATURAL LANGUAGE PROCESSING: UNLOCKING THE POWER OF HUMAN LANGUAGE FOR MACHINES
Authors: Jain Kushal , Paswan Rahul Kumar , Kunjam Durga , Dewangan Omprakash
Published: June 2024

It provides an in-depth exploration of the field of natural language processing (NLP). This chapter offers a comprehensive overview of the significance, challenges, and advancements in NLP, integrating practical applications and theoretical frameworks to unlock the potential of human language for machines. The chapter delves into the fundamental concepts of NLP, including language modeling, syntax, semantics, and pragmatics, while also discussing cutting-edge techniques such as deep learning, neural networks, and machine translation. Through case studies and examples, the chapter illustrates the transformative impact of NLP in various domains, such as healthcare, finance, customer service, and education. Furthermore, the chapter highlights the evolving landscape of NLP, addressing current research trends, ethical considerations, and the future prospects of the field. With a blend of theoretical insights and real-world applications, this chapter serves as a valuable resource for researchers, practitioners, and students seeking to understand and harness the power of NLP in the age of artificial intelligence.
MACHINE LEARNING & DEEP LEARNING AND ITS APPLICATION – A OVERVIEW OF CURRENT SCENARIO
Authors: Kalaivani Dr. S. , Banu MS. D. Nasreen , Begum Dr. I. Parvin
Published: June 2024

The ways that computers learn, understand data, and make judgements have all been transformed by machine learning (ML) and deep learning (DL), two revolutionary disciplines of artificial intelligence. While DL employs deep neural networks to automatically build hierarchical representations from raw data, ML allows computers to improve their performance on specific tasks without explicit programming. In image and speech recognition, recommendation engines, financial forecasting, healthcare, and autonomous cars, ML covers supervised, unsupervised, semi-supervised, and reinforcement learning techniques. In the fields of healthcare, gaming, simulations, and computer vision, NLP, speech recognition, and generative models, DL shines. However, issues like interpretability and data efficiency continue to be a problem for both areas. To fully realise their potential and ensure ethical AI development, ethical concerns and multidisciplinary collaboration are essential. The next generation of AI advances will be shaped by the interaction between ML and DL, having a favourable effect on society and several sectors.
A SURVEY ON CLOUD SECURITY ISSUES AND TECHNIQUES USING CLOUD COMPUTING
Authors: Mandal Sayan , Kumar Avinash , Amrendra Kumar , Sharma Anuradha
Published: June 2024

Nowadays, we know that cloud computing is one of the most needed ways of computing in the sector of information technology. It is the services and resources which are provided to the user on the internet and network. Grid computing and distributed computing are some of the computing techniques used in current trends and are also used in industrial, academic, and research fields. Day by day new techniques are coming into the market which is subsequently spreading the use of cloud computing. As there is an increase in the use of cloud computing mechanisms, there is a high increase in security issues and challenges faced in cloud computing. The data is saved in the cloud which is a virtual location and lack of security will lead to a loss of user’s trust in the service providers. Discussing this in our paper, we have surveyed the security issues in the cloud and the countermeasures which need to be taken to reduce them. Some common aspects are taken into consideration such as multi-tenancy, elasticity, availability, etc. The paper will give insight to academicians, researchers, and professionals to learn about the security issues in the cloud and the models proposed to solve them.
EMPOWERING THE DIGITAL WORLD THROUGH WEB-BASED DESIGN AND DEVELOPMENT
Authors: Puniya Charbhuja Javerilal , R Raghavendra
Published: June 2024

This chapter explores the transformative role of web-based design and development in the digital age. It traces the evolution of web design, emphasizing user-centred principles, mobile responsiveness, and the e-commerce revolution. The chapter highlights emerging trends such as AI integration, Progressive Web Apps (PWAs), voice user interface (VUI), AR and VR, and dark mode design. It also underscores the importance of web accessibility. Ultimately, web design's continued evolution empowers individuals, businesses, and organizations in an ever-changing digital landscape.
PYTHON ENSEMBLE LEARNING FOR EARLY CARDIOVASCULAR DISEASE DIAGNOSIS
Authors: Agiwal Yamini , Bhatnagar Anurag , Bhatnagar Nikhar
Published: June 2024

The early detection of heart disease based on symptoms is a major challenge in today's world, particularly in developing countries where access to specialized heart doctors is limited in remote and rural areas. To tackle this issue, researchers have proposed a hybrid decision support system that aids in the early detection of heart disease using clinical parameters of patients. In recent years, there has been a growing emphasis on predicting cardiovascular disease using data-driven techniques and machine learning algorithms. Early detection of cardiovascular disease poses a significant challenge for clinicians, as it is influenced by multiple variables such as blood pressure, cholesterol levels, and pulse rate. Artificial intelligence, particularly machine learning and deep learning models, can play a vital role in early identification and treatment of the disease. Another research paper proposes an ensemble-based approach utilizing six classification algorithms to predict the likelihood of developing cardiovascular disease. The random forest algorithm is employed to extract important features related to cardiovascular disease from a publicly available dataset. This research paper proposes an ensemble-based approach that combines machine learning (ML) and deep learning (DL) models to predict the probability of an individual developing cardiovascular disease. The study utilizes six classification algorithms to achieve this prediction, training the models using a publicly available dataset consisting of causes related to cardiovascular disease. Specifically, the random forest (RF) algorithm is employed to extract essential features relevant to cardiovascular disease.
PERFORMANCE AND EMISSION CHARACTERISTICS OF VARIOUS COMBUSTION MODES
Authors: Harari Dr. Praveen
Published: June 2024

Concern about diesel engine emission and growing global need for energy in case of transportation sector have made biofuels for IC engines more significant. Huge number of researchers have looked into biofuels in case of dual fuel engines in order to optimize emission profiles and energy consumption for transportation and distribution activities. This review article comprehensively compares the engine performance, combustion, and emission characteristics of alternative fuels in conventional, dual fuel, and RCCI mode combustion. The RCCI engine had favourable emission characteristics due to differences in fuel qualities, spray droplet size distribution, and subsequent mixing with ambient air. The RCCI technique is capable of controlling the combustion phase, peak pressure rise and heat release rate through regulating the reactivity stratification to attain the resolution of combustion process optimization.
DESIGN AND DEVELOPMENT OF FIRE FIGHTING ROBOT
Authors: Kadam Prof. S. N. , Pasarkar Prof. A. M. , Bhosale Aniket A. , Dhavan Neha S. , Nemade Harish S. , Gunjal Rahul S.
Published: June 2024

Nowadays robots are used for various purpose in various fields. From use of pick and place in big industries to cleaning of house they are nowadays use everywhere. As they work fast give precise result and most importantly reduces human effort. Human may make mistake but robots don’t they work as per the input given to them. Mostly robots are used in huge industries, Hospitals, Factories, Defence, etc. They can also be used to perform dangerous and difficult operations. Extinguishing fire is one part of that, it is important to extinguish or control huge fire to some extent till the fire truck arrives. This fire can be anywhere at home, office, school/college, etc. Extinguishing fire without any injury to human is one of the major problems in today’s world. Robots can be used for that purpose too with proper component and material selection, but the materials that used for making these types of robots must have some fire and thermal resistivity property in it. In this paper review of various components and material is discussed
REVOLUTIONIZING ELECTRIC VEHICLES: THE POTENTIAL OF SUPERCAPACITORS AS GAME-CHANGING ENERGY STORAGE
Authors: R. Yadav Dr. Shriganesh , S. Shinde Prof. Amol
Published: June 2024

The revolutionary potential of super capacitors as a replacement for conventional lithium-ion batteries in EVs is discussed in the abstract. The emissions from conventional automobiles, which run on fossil fuels, are a major cause of environmental damage. Although electric vehicles (EVs) are a sustainable change, lithium-ion batteries have many limits. Because of their high power output, long lifespan, and quick charging capabilities, super capacitors provide a viable alternative. Issues with electric vehicle range, charging speed, battery life, and efficiency are all addressed here. The chapter delves into their importance, adaptability, and impact in enhancing electric vehicles. Nevertheless, obstacles like energy density and cost-effectiveness need to be addressed. To improve the performance of super capacitors, scientists investigate novel materials. These materials include carbon annotates and grapheme. In anticipation of their critical role in creating a greener and more sustainable transportation future, the abstract finishes by showcasing the mutually beneficial interaction between EVs and super capacitors.
A GLIMPSE INTO THE FUTURE OF WEARABLE COMPUTING (AR CONTACT LENS)
Authors: Myprabhu E Mr. , Tamilchudar R Prof.
Published: June 2024

Wearable technology has made remarkable changes in recent years; from smart watches to AR glasses .Augmented reality involves enhancing our perception of reality by overlaying digital information onto the physical world. AR contact lens (Mojo vision) capable of displaying pixels and basic graphics. Since then, advancements in materials, miniaturized electronics, and nanotechnology have pushed the boundaries of what AR contact lenses can achieve.
FACTORS INFLUENCING TOURISM DEVELOPMENT: A COMPREHENSIVE REVIEW
Authors: L Kanagalakshmi Dr. , Preetha E Irene
Published: June 2024

This paper explores the various factors that influence tourism growth by examining multiple research publications from different countries and authors. The research articles were collected from various web sources, including academia.edu, research gate, science direct, and Google Scholars. The reviews included both empirical and conceptual research, conducted in diverse locations, and identified different findings based on the area's nature, respondents, and activities undertaken by stakeholders for tourist development. The primary goal of this study is to gain insights into the chosen variables from previous research and identify any research gaps. The selected variables for the study are Infrastructure, Cleanliness, safety & security, Technology development, and Promotional Activities, which are used to assess Tourism Development.
ASSESSMENT OF PRADHAN MANTRI FASAL BIMA YOJANA IN SELECTED STATES
Authors: Raman Dr. Bhuma , Purandare Dr. Shraddha
Published: June 2024

While various crop insurance schemes have been implemented with limited success for the past few decades, the Prime Minister Fasal Bima Yojana (PMFBY) launched in April 2016 promises better prospects for enhancing farmers’ welfare due to its well thought out design. After four years of implementation, it has met with moderate success. Some improvements have of course been suggested by experts to make the scheme more fruitful. If implemented in the true spirit, this scheme can be a game changer for the agricultural sector. This chapter does a comparative analysis of PMFBY and Weather Based Crop Insurance Scheme (WBCIS). The challenges in the implementation of the scheme have been highlighted. Finally, the four largest states in terms of number of farmers/operational holdings have been selected for assessing the performance of PMFBY over four years between 2016-17 and 2019-20 along with recommendations for improvements in implementation.
THE STUDY ON FUTURISTIC TRENDS OF MANAGEMENT IN INDIA
Authors: G. Dhanalakshmi Mrs. , Marimuthu K. N Dr.
Published: June 2024

In recent years, a vast majority of reports have emphasized that the future of work will undergo significant changes. The need for greater flexibility, a heightened focus on the value of qualifications, and the alignment of work with individual talents are becoming paramount. Businesses are expected to be agile and adaptable, capable of embracing change as a fundamental aspect of their operations. We find ourselves in the midst of responding to social and environmental demands that require us to elevate our qualifications. This shift necessitates a keen awareness of the evolving skills landscape and the capacity to respond effectively to emerging challenges. Another key theme gaining prominence is metrics. Metrics are poised to play a pivotal role in ensuring the sustainability of organizations. As the focus shifts from mere survival to demonstrating tangible business value, metrics assume an increasingly important role in keeping management well-informed about project performance, its implications on the financial bottom line, and the quality of customer service. This paper delves into the anticipated changes in work patterns and methodologies in the near future. It explores how the evolving landscape of work will shape the way we operate, adapt, and measure success. As organizations navigate this transformative journey, the integration of flexibility, qualification emphasis, and insightful metrics will be essential for staying competitive and relevant in the dynamic business landscape.
SOCIO-ECONOMIC FACTORS INFLUENCING LIFE SKILL MANAGEMENT OF THE TOP SCORERS
Authors: R. Raghadevi Dr. , R. Malini Dr.
Published: June 2024

Education enables the individual to develop their skills and to inculcate proper Attitudes and values. Socio-economic factors play a crucial role in developing their life skill. Even though, all individuals in the society have equal opportunities to access the effective life skill management, it varies according to gender, age, area of residence etc. To cope up with the present fast growing society the educational system must provide skills which they can actually use in real life. The commerce education is no exception to this as the pace of globalization, liberalization and privatization has tremendously influenced the various Dimensions of it. In this context, it is essential to check whether the commerce post-graduates Have effective life skill management or not. Hence, the present research work is undertaken to Study the influence of the socio-economic factors on life skill management of the top scorers. The primary data were obtained from 305 top scorers by adopting cluster sampling technique; And SEM and chi-square test were used for the analysis. The analysis reveals that majority of the top scorers have better life skill management and LSM is influenced by the socio-Economic factors. On the basis of findings of the study suggestions are made to the Respondents. If the suggestions given by the researcher are adopted by the top scorers, they can fine-tune them as a successful personality and significantly contribute to the social Change cum economic development of the nation.
PROBLEMS FACED BY THE CUSTOMERS IN ONLINE BANKING SERVICES OFFERED BY COMMERCIAL BANKS – A STUDY WITH SPECIAL REFERENCE TO TIRUNELVELI DISTRICT
Authors: Ramar S. , Marimuthu K. N Dr.
Published: June 2024

In India, online banking has become a crucial component of the banking system. Internet banking usage has increased but hasn't yet expanded widely enough, according to a Boston Consulting Group study on Indian digital banking. Banks have historically leveraged electronic and telecommunications networks to provide a range of value-added goods and services. Because it eliminates barriers caused by geography, time zones, and locations, the internet promises to significantly cut communications costs, which has had a significant impact on how banks deliver their services. In this study an attempt has been made by the researcher to study the problems faced by the customers in availing online banking services offered by the commercial banks in Tirunelveli district. The primary data was collected with the help of field investigation by framing a well-structured questionnaire which was distributed among 50 sample respondents in Tirunelveli district. The researcher has used statistical tools such as Percentage analysis and garret ranking for analysing the data. The problems such as obsolete technology, technical bottlenecks, security issues, server issues, etc., were identified by the researcher to be the important problems faced by the respondents while availing online banking services.