bluuebunny/crossref_metadata_2025 huggingface dataset:
DEEP LEARNING FOR AUTOMATIC RECOGNITION OF BOATS AND SHIPS TO AVOID COLLISIONS IN MARINE TRANSPORT
Authors: Janavejirao Abhishek Barandooru , Giuseppe Longo
Published: June 2024

The objective of this work is to explore the use of deep learning for the automatic recognition of ships and boats. The study uses a deep convolution neural network (DCNN) architecture to analyze a large data set of ship and boat images. The data set is prepared and labelled for supervised learning, and CNN is fine-tuned using the YOLO series group of versions 5, 6 and 8 to improve recognition accuracy. The proposed method involves training a deep convolution neural network on a large data set of ship and boat images and using the trained model to classify new images. The performance of the model is evaluated on a separate test set and compared to other state-of-the-art methods. The results of this study show that the deep learning model is effective in automatically recognizing ships and boats with an accuracy of mAP (Mean Average Precision). The model’s performance is also compared to traditional machine learning algorithms, and CNN outperforms these methods. In this work we present the architecture, design and implementation of an object detection model deployed on an IMX8M Plus hardware board, to be used on the gathered image data model to recognize and label the ships and boats at the edge. We conduct transfer learning on the state-of-the-art trained YOLO model by introducing a labelled BS(boat-ship) image data set. We use the trained model to do predictions on a test image set to evaluate the model’s performance. The result of the model can predict labels with an accuracy of 72.1 mAP of YOLOv8 and inference FPS time that detect it to do so in real-time with the board. Results show that the proposed deep learning approach outperforms existing methods, achieving high accuracy, and demonstrating the potential of deep learning for the automatic recognition of boats and ships in marine environment system.
AUDIO CORPORA
Authors: P Dr. Aswini
Published: June 2024

Corpus linguistics plays an important role in the field of language teaching, learning, and research. Corpus is a rich resource because it contains trove of authentic materials that help in exploration of the dynamic facets of the language. The use of text corpus is gained considerable traction in the field of language pedagogy and research. But audio corpora have yet to receive widespread recognition and adoption in both research and language education despite of their huge potential. This article intends to provide insights into audio corpora including their components, prominent audio corpora websites, as well as advantages, and limitations.
THE FAVORABLE IMPACT OF TECHNOLOGY ON EDUCATOR INSTRUCTION AND LEARNER KNOWLEDGE ACQUISITION
Authors: Vaghela Dr Chintan KishorkishorbhaIi
Published: June 2024

This article describes how teachers' pedagogical practices can affect students' learning and the process. With technology advancing quickly in our lives, classroom technology is quickly becoming part of classroom life. By employing technological tools in their classrooms, teachers can improve their teaching techniques and provide more engaging learning experiences for their students. Educators can utilize various multimedia tools, such as podcasts, videos, and interactive simulations, to engage and hold their students' attention during learning activities. Teachers can customize these tools according to each child's needs for optimal learning environments. Teachers can monitor students' progress and offer technology feedback, encouraging and motivating them tofully expand their understanding or participate in tasks. This research explores how technology can facilitate learning by offering educators advice on using it to enhance students' educational experiences. Teaching strategies have been significantly altered due to technology's presence in classrooms, and student learning experiences dramatically altered due to its introduction. This article investigates how technology influences the teaching and learning practices of educators and their students. Tailoring learning experiences specific to each student's unique needs is among the most significant advantages of technological advances in classroom settings. Teachers should adapt their methods of instruction so they provide students with flexible methods of learning and online applications that support them in better comprehending and remembering information while empowering them to take charge of their learning experiences. Thanks to technological advances, teachers can now more precisely evaluate and track their students' progress. Learning management systems and analyses enable instructors to assess students' level of skill acquisition and identify areas where additional assistance may be necessary. Teachers now have more tools for providing adequate education, increasing overall efficiency in education.
REWRITING THE COLONIAL PAST: BADAL SIRCAR’S INDIAN HISTORY MADE EASY
Authors: Ranjan Aditee
Published: June 2024

The rise of theatre in postcolonial era was a significant development in Indian literature. It encompasses Indian experience as well as celebrates the Indian culture, therefore attached itself very closely to the idea of India which was very different from what was depicted in colonial literature. It glorified the Indian culture and experiences which in turn played a major part in decolonisation. The most important dramatists of postcolonial India felt the need to redefine, rediscover and re-establish the Indian culture, language, history, identity and ethos. Among these playwrights, Badal Sircar is a leading dramatist of postcolonial India who has defiantly showcased the ill effects of colonialism on India in his play Indian History Made Easy. The play is a commentary on colonialism and its long lasting effects on colonised nation.
PREVALENCE OF CHRONIC KIDNEY DISEASE OF UNKNOWN ETIOLOGY IN INDIA
Authors: George Dr. Ninoo , Thenraja Dr. S. , Ali Dr J. Mohamed
Published: June 2024

The worldwide burden of CKD has been critical, producing a greater health impact in the last 20 years. Lately, CKD of unknown origin (CKDu) is a kind of CKD seen in rural agricultural populations, and there is no single standard cause of CKDu. All over the world, CKDu was most frequently associated with men, middle age, snake bites, illness, and exposure to agrochemicals, heavy metals, herbal drugs, and heat stress. Disease development can be successfully delayed by early identification; improved screening and care approaches are critical. Advanced biomarkers have higher sensitivity and specificity than traditional biomarkers, and they are being suggested as potential tools for early disease detection. It is essential to raise public and individual awareness of health issues to identify risk factors early and take prompt action. Creating healthcare networks is also essential for improving patient safety and quality of life. Also, further etiological and interventional exploration is demanded to exclude avoidable indigenous risk factors and develop visionary, all-encompassing disease prevention and treatment methods.
RECENT TREATMENT ADVANCEMENTS IN RADIATION THERAPY
Authors: Devi Adhikarimayum Ambika
Published: June 2024

Radiation therapy is one of the fields of medicine that have seen a lot of technological advancements in the last few decades. The era of 2D treatments have evolved significantly to 3D and image guided treatment plannings and delivery. This recent developments have allowed us to deliver a highly conformal dose to the tumor while sparing the surrounding critical structures. Three-dimensional conformal radiotherapy (3DCRT), intensity-modulated radiotherapy (IMRT), volumetric-modulated arc therapy (VMAT), stereotactic body radiation therapy (SBRT) and image-guided radiation therapy (IGRT) have significantly improved target delineation provided an accurate dose delivery to the target volumes. In addition, adaptive and artificial intelligence (AI) based IGRT have facilitated modification in the treatment plans in the best possible way even during treatment and augmented treatment planning with a flexible workflow respectively. Recently, particle beam therapy have come up with promising results but not without limitations which limits its widespread use. Major impact of these recent advances in radiation technology has been towards reduction of treatment toxicity, improvement in treatment-related morbidity and quality of life. Further research by use of these newer technologies are necessary for optimal utilization and effective management of cancers.
ADVANCEMENTS IN PERIODONTAL TISSUE ENGINEERING: A PROMISING APPROACH FOR ORAL HEALTH
Authors: Chandra Dr. Joohi
Published: June 2024

The field of periodontal tissue engineering has emerged as a promising solution to address the challenges posed by periodontal disease, a prevalent oral health issue affecting millions globally. This article presents a comprehensive overview of recent advancements and persistent challenges in this dynamic field. Conventional treatments like scaling and surgical interventions have limitations in fully restoring damaged periodontal tissues, leading researchers to explore innovative approaches. Advancements in scaffold design using various materials, including synthetic and natural polymers, ceramics, along with precise three-dimensional (3D) printing techniques, have enhanced cell adhesion, proliferation, and differentiation. The incorporation of mesenchymal stem cells (MSCs) derived from different sources holds promise in regenerating bone, cementum, and periodontal ligament. Growth factors, such as PDGF, TGF-β, and BMPs, have been pivotal in guiding tissue regeneration. Moreover, gene therapy has introduced a cutting-edge dimension by encoding growth factors to promote localized therapeutic protein delivery. However, challenges persist, such as establishing proper vascularization and nerve regeneration within engineered tissues. Clinical translation necessitates addressing issues of immune response, regulatory approvals, and long-term efficacy. Tailoring treatments to individual patients, considering genetic variations and disease severity, is a crucial stride towards personalized medicine. Overall, collaborative efforts among researchers, clinicians, and regulatory bodies are pivotal to ensure the successful transition of these promising innovations from research to clinical applications, ultimately revolutionizing the treatment landscape for periodontal diseases.
A COMPARATIVE STUDY TO ASSESS THE LEVEL OF DEPRESSION AMONG PREGNANT MOTHERS IN 1ST & 3RD TRIMESTER OF PREGNANCY IN NMCH AT NELLORE, ANDHRA PRADESH
Authors: Jyothi.C Asha , P Latha
Published: June 2024

Being pregnant is a very special experience for each woman. Generally pregnancy is a state of compromised immunity and hormonal imbalances which makes the pregnant mother more prone for liable mood changes, anxiety and depression etc. Depression and anxiety are common in pregnancy due to in adaptation to bodily changes, raising hormone levels and also about pregnancy outcome. Hence, the complete 9 months of pregnancy state is potential for many complications, pregnant mothers need to be handled safely to manage these depression with proper management to avoid its complications. The aim of the study was to assess the level of depression among pregnant mothers at 1st trimester and 3rd trimester. To assess the level of depression among pregnant mothers at 1st trimester and 3rd trimester. 2. To compare the level of depression at 1st& 3rd trimester among pregnant mothers. 3. To associate the level of depression among pregnant mothers with selected socio-demographic variables. 60 antenatal mothers (30 in Ist trimester & 30 in III rd trimester) at Narayana Medical College Hospital, Nellore were selected by using non-probability purposive sampling technique. The study reveals that In 1st trimester, 3(10.2%) had normal/border line, 17(56.6%) had mild depression, and 10(33.3%) had moderate depression. In 3rd trimester 4(13.3%) had normal/border line 19(63.3%) had mild depression, and 7(23.7%) had moderate depression.
ASSESSMENT OF NUTRITIONAL STATUS AND DEPRESSION LEVEL AMONG SELECTED INSTITUTIONALIZED AND NON- INSTITUTIONALIZED OLD AGE PEOPLE IN COIMBATORE DISTRICT
Authors: Fathima N Yasmine , L Dr. Uthira , V PadmaPriya
Published: June 2024

Background: Depression is crippling disorder which is leading cause of morbidity. It has serious consequences, including personal, professional, and social dysfunction, premature death, and, most importantly, suicide. Recent studies concluded that growing speculation on diet has a significant impact on mental health disorders, including depression and the nutritional factors that influence depression.Objectives: The primary goal of this study was to assess the nutritional status and degree of depression among elderly residents of Coimbatore District who were institutionalised and non-institutionalised.Methodology: A convenience sample design framework was used, which excluded those who were extremely sick and bedridden, mentally disabled, and Audio-visually handicapped individuals. A sample size of 100 elderly was evaluated, in which 50 living in old age facilities and the rest living with their families. A standardised questionnaire that included socioeconomic status, nutritional and health status, and the geriatric depression scale (GDS) was used to gather data from December 2019 to February 2020. SPSS was used to examine the acquired data, which included Pearson Correlation and Unpaired T-Test. Results: About 57% were malnourished as under and overnutrition of which 19% were underweight, 23% were overweight & 15% were Obese. A minor difference was seen in the nutrient intake of the institutionalized subjects from non-institutionalized subjects. The correlation of depression was studied using Pearson correlation and found that depression was seen in 38% of people, categorized as mild in 16%, moderate in 8%, and severe in 14%. The psychological status measured by depression level using the geriatric depression scale (GDS) revealed that institutionalized subjects (28%) were more depressed than the non-institutionalized subjects (10%). Conclusion: Our study found that older people living in old age homes had higher incidences of depression than the elderly living in families. Insignificance in food intake was observed whereas calcium deficiency was seen more in institutional than non-institutional people.
SMARTPHONE APPLICATIONS IN CLINICAL PRACTICE & MEDICAL EDUCATION
Authors: Ingawale Dr Sushrut , Shinde Dr Ishaan , Kate Dr Vikram
Published: June 2024

Technology has become an irreplaceable part of life. Even the minute tasks of day-to-day life have been made more efficient by the application of technology. With advantages such as efficiency, ease of use, and versatility, it is increasingly being amalgamated with clinical settings, patient monitoring, treatment, and surgical procedures. Smartphone applications have emerged as powerful tools with vast potential to transform both clinical practice and medical education. This chapter explores the multifaceted impact of smartphone applications in the healthcare domain, examining their role in enhancing patient care, streamlining workflows, and promoting evidence-based decision-making among healthcare professionals. By offering features like electronic health record access, clinical decision support systems, medical imaging interpretation, and telemedicine consultations, smartphones optimize healthcare delivery, ultimately leading to improved patient outcomes. Additionally, the chapter investigates the integration of smartphone apps in medical education, elucidating their capacity to revolutionize learning methodologies and bridge traditional educational constraints. With interactive learning modules, virtual patient simulations, anatomical references, and collaborative platforms, medical education apps empower students to engage in self-directed learning and stay abreast of cutting-edge medical advancements. The chapter also addresses pertinent challenges, including data security, patient privacy, app reliability, etc., necessitating the adoption of robust solutions. As smartphones continue to evolve, the integration of artificial intelligence and augmented reality technologies holds the potential to further augment these applications, enriching clinical practice and medical education
CONTRACEPTIVE EVOLUTION: UNVEILING EMERGING PARADIGMS
Authors: Bangi Dr. Eera Fatima , Ingawale Dr. Sushrut
Published: June 2024

This chapter is focused on contraceptive innovation within the realm of reproductive health. The paramount role of contraception in family planning and reproductive well-being is initially underscored. Through an exhaustive exploration of the evolutionary trajectory of contraceptive methods, a solid foundation is established for comprehending the existing array of techniques. Central to the chapter's objective is the illumination of prevailing constraints and complexities linked to current methods, spanning adverse effects, cultural impediments, and issues of reach. Subsequently, the discourse delves into auspicious emerging strategies, encompassing male contraceptives, enduring reversible contraceptives, non-hormonal substitutes, pioneering pharmaceutical distribution systems, precision molecular mechanisms, and breakthroughs in contraceptive technology. Concluding reflections reinforce the imperative of ethical contemplation, pivotal research directions, and endeavors directed at surmounting cultural and societal barriers, all while upholding universal availability and economic viability.
CUSTOMIZATION OF GENERIC SELECTION SOFTWARE AND AUTO GENERATION OF REPORTS
Authors: Naik Dr. P.G. , Naik Dr. G.R.
Published: June 2024

Teaching pedagogy has undergone a revolutionary change over the years. Programme Educational Outcomes, Programme Specific Outcomes, Course Outcomes and Programme Outcomes define the Outcome Based Education (OBE) System in which the learning outcomes for different courses are pre-defined and the academic curriculum and content delivery is planned to meet those objectives. The academic curriculum supporting OBE is Choice Based Credit System (CBCS) in which the whole curriculum is segregated into different components targeting the holistic development of a learner. One of the components is Generic Elective course which enables the learner to select a course beyond the academic curriculum and the one offered by an external department. Currently, the selection is restricted to institute level. A learner can select any course offered by another department, other than the department in which the admission is sought. Since the activity is carried out at institute level, some sort of planning and automated computerized system is desirable to avoid any sort of chaos and confusion among the students. Due to the limited availability of human resource a sealing of 120 is declared for each GE course and the selection is on first come first serve basis. The authors have designed and developed a web based generic course selection software for the purpose which is operational for the last several years. As the curriculum undergoes a modification either structurally or content wise, as GE and class coordinators change, rules evolve, the software requires some sort of customization to incorporate the changes. Further, different reports are to be generated for GE coordinators, class coordinators and consolidated reports. As of now, the report generation was carried out manually which is a time consuming process. To account for this the authors have automated the report generation process by implementing the relevant APIs in business logic tier. The reports are exported by the system in Excel format.
DEVELOPMENT OF MODEL PREDICTIVE CONTROL FOR MAGNETIC LEVITATION SYSTEMS
Authors: Dutta Lakshmi
Published: June 2024

The study of Magnetic Levitation systems (Maglev) has gained significant attention due to their minimal friction and energy-efficient attributes, which are deemed crucial factors. This paper introduces a novel magnetic levitation system implemented through the Simulink environment. The dynamics of Maglev exhibit nonlinearity and high instability, which renders the task of devising an appropriate control algorithm even more challenging. The main goal of this research is to control the position of a ferromagnetic ball within the airspace of the nonlinear system. In this investigation, the suggested controller is formulated based on the linear predictive model, derived by approximating the system’s behavior around a known operational point. The efficacy of the designed control approach is validated through simulation levitation model. The performance of the suggested controller is evaluated in comparison to an existing PID control method [1], and it demonstrates superior results.
TECHNOLOGIES THAT HELP IMPLEMENT IOT IN HEALTHCARE SECTOR
Authors: Rosy Mrs. N Sharon , B Vijetha Mrs. , Panchangam Ms. Bhavana
Published: June 2024

The healthcare industry is one of the fields that IoT has significantly impacted recently. The application of cutting-edge technologies in the healthcare industry has made it easier to diagnose and treat patients more effectively, as well as to keep track of them quickly. Let's focus in this chapter how the Internet of Things has affected the healthcare industry.
MAJOR IOT CHALLENGES AND CRITICAL ISSUES IN REAL WORLD
Authors: Singh Ghanshyam , Abidin Shafiqul
Published: June 2024

Internet of Things is the Connections based on embedded technologies that contained physical objects in real world and is used to communicate and interact with the inner states or the external surroundings, rather than people to people interaction , Major role of IoT machine to machine communication. We focus the status of IoT growth in real world and also contains vital security issues and challenges. IOT based technologies be it in the field of Banking, Agriculture, Healthcare, Mobility, Traffic control, Navigation, Smart home, Smart community, Smart city, Social media and Education have been well researched upon. IOT based scenarios are required for the Special needs, Politics , Journalism, Entertainment, Retail, Manufacturing, e-Governance and Surveillance .There are several security issues, threats and critical challenges with IOT based living scenarios in real world. The paper presents views on Living Scenarios of IOT based real world applications, Critical thinking and cyber laws which regulate the IOT powered systems.
AUTOIMMUNE DISEASE-REVISITED
Authors: Prasadh S Hari , R Dr. Jennifer Princy
Published: June 2024

The illness that caused by the immune mediated attack of own tissue or organ is referred as autoimmune disease. Mostly it was seen in industrialized countries. i.e. reduced exposure to the microorganism due to improved sanitary practices which increases the immune reactivity and cause allergic reaction and autoimmune responses. It affects 5-10% of peoples in Europe and north America. Clinical manifestation differs from one person to another because it affects any site in the body. It results ininflammation of organ which leads to organ death. Patients may face lifetime of debilitating illness and costly treatment. Autoimmune disease affect the thyroid gland, pancreatic cells, adrenal gland, gastrointestinal tract, kidney, liver and neural transmitters. Head ache, blood in stools, fever, joint pain, inflammation, constipation are the some common symptoms of autoimmune disease. Autoimmune vasculitis, celiac disease, type 1 diabetes, rheumatoid arthritis are the some disease caused by autoimmune disease. Complete blood count and erythrocyte sedimentation rate are the two laboratory test taken for the diagnosis of autoimmune disease. Non-steroidal anti-inflammatory drug and glucocorticoids are the used drug for the autoimmune disease.
VEHICULAR NETWORKS: MULTI-NODE DEEP SELF LEARNING-ENABLED CHANNEL ACQUISITION
Authors: S Sheela. , S Shalini. , K. V Adarsh , A Amritha. , P. I Chirag
Published: June 2024

Modern living has greatly benefited from intelligent transportation systems (ITS). This technology provides new services to reduce unfavourable occurrences like traffic or accidents and enhance traffic management. The significant classes of future-generation networks that quickly evolved for vehicles and road transmissions is the Vehicular Ad Hoc Network (VANET). It can assist in putting into action a wide range of applications relating to vehicles, traffic lights, traffic jams, drivers, passengers, ambulances, police, fire trucks, and even pedestrians. The effectiveness of vehicle-to-everything (V2X) networks is significantly and directly impacted by channel allocation. Given the fluidity of vehicle surroundings, devising a hybrid method for efficient resource sharing is interesting. However, the conventional channel allocation strategies frequently have trouble adapting to the quickly varying network conditions and fall short of fully realizing the potential advantages of vehicle cooperation in decision-making. In this research, we use multi-node deep reinforcement learning (MADRL) to present a unique method for dealing with the channel allocation issue in vehicular networks. Our approach uses deep reinforcement learning to give vehicles the ability to choose channels on their own with the help of real-time network circumstances and interactions with other nearby vehicles. We motivate the vehicles to cooperate and jointly optimize the channel assignment by structuring the channel allocation process as a cooperative multi-node learning problem. These results in improved network throughput, decreased latency, and improved system performance.
ARTIFICIAL INTELLIGENCE (AI) AND BLOCKCHAIN-BASED ELECTRIC VEHICLE CHARGING INFRASTRUCTURE
Authors: Bukya Dr. Ravi , M Sharanya Dr.
Published: June 2024

Electric vehicles (EVs) with greater ranges will use a variety of networks, some of which are not necessarily owned or operated by the same utility. As a result, we suggest an infrastructure that can provide a charging service for moving automobiles. In addition, the energy internet allows for the transfer of energy and data, but its centralized design prevents it from facilitating a truly seamless EV roaming service. Electric vehicles (EVs) that travel between jurisdictions with varied electricity regulations could benefit from a trustworthy billing platform made possible by blockchain technology's decentralized architecture. Artificial intelligence (AI) integration also guarantees that all participants receive their just share of the money. The purpose of this article is to create a billing architecture that uses artificial intelligence and blockchain to provide a charging service for "roaming" electric vehicles and to present a consistent, equitable billing system.
IoT BASED MULTI LANGUAGE (ML) SMART NOTICE BOARD USING ANDROID APP
Authors: K. Rasadurai Dr.
Published: June 2024

Notice Board is the most important thing in all schools, colleges, organization, offices and all other common public places like Mofussil Bus Terminus, Metro Station Railway Junctions and Air Ports, etc., but changing the data in the notice board daily and multiple languages are difficult process. More Manpower is required to manage notice boards. Most common issues are handling printing documents. In this paper presented novel model of smart notice board based on Internet of Things (IoT) and Wi-Fi, for multi language display. The proposed system support to minimize cost and workforce. In this system, the user can write the data from anywhere in the world to the Notice Board from an android mobile. The android application is supported by using Massachusetts Institute of Technology (MIT app) inventor. The user can send Multi language a text message or a voice message to display it in the IoT based Multilanguage smart Notice board. Whenever a new notice is updated the speaker announces an alert message “Hello everyone, a new message is displayed”. This will reduce the time to update the data as well as it will efficiently transfers the data to the notice board.
A BIDIRECTIONAL SAFETY-ENHANCED IOT STOVE WITH AI AGE VERIFICATION
Authors: Gowda Ms. Sahana D , Benvin Mrs. Shalet
Published: June 2024

The newest technologies now heavily rely on smart embedded systems, with IoT-based smart embedded systems being the most popular subfield of study. In our research, we suggest an Internet of Things-based smart gas. When using a stove, any mishap could happen. Because of this, we are developing a two-way safety-enabled gas with a kid lock mechanism and a gas leak detection feature that opens the door or window. The smart gas will make an effort to maintain safety and use live video streaming to determine age. Our major concern is making sure a kid can't turn the burner on. Additionally, the gas may guarantee safety through a gas detection alert. Automatic gas booking system, whenever the load cell has less. The hardware implementation consists of an Arduino Uno and a Gas Detection Module with a buzzer. For system execution, we also use a Machine Learning object detection method (Haar Cascade) and a deep learning architecture (CNN). Because our gas is IoT-based, it ensures safety remotely as well as manually, attempting to prevent unintended occurrences. By executing this project, we are assisting individuals in saving time by enabling automatic gas booking. It can give security personnel by detecting gas leaks.
STUDY ON WIRELESS SENSOR NETWORK & CHALLENGES & ITS APPLICATIONS
Authors: Thamaraikannan N. , S. Manju Dr.
Published: June 2024

Sensing technology used in the world is undergoing a huge upheaval thanks in large part to wireless sensor networks (WSNs). In recent years, wireless sensor networks have emerged as a powerful technology with numerous uses, the use of intelligent transportation systems (ITS), surveillance technologies, and military operations. WSN's sensor nodes collect data from their surroundings and monitor the external environment as well. Sensor networks are being researched to make them operate with minimal energy consumption so that they can last for longer periods. It has been basically the fundamental concern toward energy preservation has been the depleting of batteries on which sensor hubs capability. WSNs are likewise taken advantage of for their security viewpoints, so they can be utilized in a few private regions like military front lines. A brief overview of WSNs is presented here, counting applications, directing and information assortment, security perspectives, and a concise portrayal of the recreation stages accessible for WSNs. A contribution to this chapter focuses on introducing and reflecting the significance of WSNs in different sectors of their operation.
NETWORK SECURITY: GOALS, EMERGING TRENDS AND FUTURE PERSPECTIVES
Authors: Kaur Kamaljit
Published: June 2024

Network security is a vital aspect of modern information technology, focusing on protecting sensitive data, ensuring data integrity, and maintaining continuous accessibility to critical resources. This paper explores the core goals of network security: confidentiality, integrity, and availability. Confidentiality involves safeguarding sensitive information from unauthorized access through encryption and access controls. Integrity ensures data remains accurate and unaltered by using hashing, digital signatures, and robust access controls. Availability aims to provide uninterrupted access to data and services through redundancy, load balancing, and disaster recovery planning. Furthermore, this paper discusses emerging trends and future perspectives in network security, such as zero trust architecture, AI-driven security, IoT security, and quantum-safe cryptography. These trends shape the evolving landscape of information protection, calling for proactive approaches and collaboration among stakeholders to counter ever-changing threats. Overall, network security is an ongoing journey that demands constant vigilance and adaptation. By prioritizing security, adopting best practices, and embracing emerging technologies, organizations can build a secure digital environment, foster trust, and protect their assets in an interconnected world.
AN INTELLIGENT SURVEY ON USAGE OF SENSOR NETWORK IN REAL TIME APPLICATION
Authors: Kumar G. Muthu , Lavanya R. , Monisha R. , A Kishore Kumar.
Published: June 2024

Sensor networks, also known as Wireless Sensor Networks (WSN), consist of numerous small, autonomous devices called sensor nodes that collaboratively gather and transmit data from the physical environment. These sensor nodes are equipped with various sensors to measure parameters like temperature, humidity, light, motion, and more. The nodes communicate wireless, forming an ad hoc network without the need for existing infrastructure. Key characteristics of sensor networks include wireless communication, data aggregation to reduce communication overhead, and energy efficiency to prolong the lifespan of battery-powered nodes. Sensor networks find applications in diverse fields, such as environmental monitoring, smart cities, industrial automation, healthcare, wildlife tracking, disaster management, and agriculture. By collecting real-time data from the physical world, sensor networks enable better decision-making, resource management, and advancements in efficiency and quality of life. They are crucial in various domains and offer valuable insights into the surrounding environment, making them a fundamental component of the Internet of Things (IoT) ecosystem.
DISRUPTIVE APPROACHES IN PHARMACY AND NURSING FOR PREVENTIVE CARE
Authors: Khanna Manmeet Kaur , Singh Hasratjot , Kaur Jasmeen , Kaur Amanpreet
Published: June 2024

The professional resonance of Pharmacy and Nursing has recently become patient-centric and preventive in practice. This shift has been the result of disruptive technologies and newer approaches providing precision, personalized, and compliant treatments to patients. To prioritize preventive care and overall well-being, it has become imperative to integrate comparable emerging trends. In this chapter, an exploration will be conducted into the intricate concepts of digital health, precision medicine, and cyber-security practices related to these fields, 3D printing, robotics, and the integration of advanced technology. The aim is to effectively address the prevailing issues and offer innovative and futuristic solutions. This chapter comprehensively provides insights into existing challenges in the fields of nursing, biotechnology, the radiopharmaceutical industry, and health management followed by the futuristic approaches required for preventive care.
HYDROGELS: A REVIEW
Authors: Derashri Anuradha , Pandey Rani Vimal , Palav Vibhavesh Sanjay , Bhandari Divya Dhawal , Sharma Ram Babu
Published: June 2024

Hydrogels have been around for over 50 years and are now used in a wide range of applications, from industrial to biological processes. They can be customized to have specific swelling and mechanical properties, making them highly suitable for numerous biomedical uses. While hydrogels already serve many functions, there is ongoing exploration into new potential applications. In the present review, we focused on the fundamental concepts of hydrogels including their features, classification, the polymers involved, synthesis methods, types, properties, and applications. The versatility of hydrogels is evident through their synthesis from natural polymers, synthetic polymers, polymerizable synthetic monomers, and combinations of natural and synthetic polymers. The bonding involved in hydrogel synthesis encompasses physical, chemical, and hybrid bonding, and can be achieved through various routes such as solution casting, solution mixing, bulk polymerization, free radical mechanism, radiation method, and interpenetrating network formation. This thorough exploration provides a solid foundation for understanding the intricate world of hydrogels. The synthesized hydrogels have significant properties, such as mechanical strength, biocompatibility, biodegradability, swellability, and stimuli sensitivity. These properties are substantial for electrochemical and biomedical applications. Furthermore, this review highlights biomedical application of hydrogel in various Biotechnologies like Tissue engineering, tissue grafting, Tissue regeneration, Bio sensors, Microchips, Sealant will be touched upon etc.
ONLINE PHARMACIES: THE GAME CHANGER IN RETAIL PHARMACY
Authors: Aggarwal Bhupinder Pratap , Dhingra Neelima
Published: June 2024

Over the last one decade, internet has been developed as a first-line information source in different l aspects of life of an ordinary people. Interest in procuring products online has equally augmented, including medicines. HealthCare industries are not seizing their chance to modernize a commonplace function by prescribing and dispensing medicine. Online pharmacies are offering advantages over traditional pharmacy by shipping the product overnight, by avoiding the delay of regular mail, while maintaining the privacy of customer. The expansion of online pharmacies has provoked the monitoring and regulatory actions at the professional association and organization levels. Present chapter is an overview of online pharmacies, their advantages, major players and the regulation involved.
STATISTICAL PROCESS CONTROL TOOLS & APPLICATIONS
Authors: S Swetha. , S Gayatri.
Published: June 2024

The Statistical process control methodology has been successfully used in a variety of industrial and non-industrial domains. SPC charts are mostly utilised in manufacturing for process optimisation and control. It is a useful technique for solving issues related to process consistency and capability enhancement by reducing variability. SPC is a collection of tools used to monitor and assess the degree of quality of output produced by an organisation as well as to manage operations. The QC tools were initially emphasised by Dr. Kaoru Ishikawa. The initial set of seven QC tools included a control charts, check sheet, cause-and-effect diagram, Pareto chart, histogram, stratification and scatter diagram. This study provides an overview of these QC tools that plays an important role in obtaining, monitoring and analysing data for identifying and resolving process issues, which helps organisations attain high quality performance.
ADVANCED TOPICAL DRUG DELIVERY SYSTEMS
Authors: Kolay Arindam , Singh Ravindra Pal , Goswami Shambaditya
Published: June 2024

This review article's objective is to give the latest scientific information on developments in topical medication delivery systems. Among other pharmaceutical dosage forms, topical drug delivery systems include solid powders, semisolids, liquid formulations, and sprays. The most popular semisolid formulations for topical medicine delivery are gels, creams, and ointments. By penetrating the epidermal layer, topical pharmaceutical delivery techniques enable a treatment to enter the systemic circulation at a controlled rate. Because of the inherent advantages of distribution through this route, new medications are being created using the transdermal technique in addition to the existing formulations. Although low skin permeability restricts its use, it does offer a non-invasive method of drug delivery. The current study focuses on the cutting-edge approaches and procedures for applying local treatment to the skin and its components using Nanoemulsions. Devices such as iontophoresis, electroporation, magnetophoresis, and micronidles, ethosome, nanoparticles, aquasomes, adhesives, etc. This information can serve as the foundation for further developing and improving current techniques and technology.
GREEN HR POLICIES, PRACTICES AND SYSTEM THAT INFLUENCE EMPLOYEE’S BEHAVIOUR
Authors: M Monica , G. Ramanaiah Dr.
Published: June 2024

The major concern is environmental issues faced today and the need to go green to create sustainable environment. As the part of HRM, it is the responsibility to form or develop the green workforce who can understand, appreciate and practices green initiative and sustain its green objectives in entire process of HRM. Green HRM is a manifesto which assist in brining green culture in an organization. This research aims at examining the Green HRM policies, practices and system followed and its effect on the employee behaviour. The descriptive study was conducted with the sample size of 80, data was collected from the 80 respondents working Smart Q, a leading B2B food tech company using simple random sampling using structure questionnaire with five-point Likert Scale focusing on the areas of HRM to measure the Green HRM Practices and Employee’s Behaviour. The results show that the Green HRM Practices can create a greater impact on the employee’s behaviour. Organizations should develop effective strategies and creative approaches to foster their growth and contribute to society. In addition, businesses can pursue ISO 14001 certification to significantly progress towards adopting environmentally friendly practices. The implementation of Green HRM practices in the workplace is often at the forefront of promoting one of the core principles of environmental sustainability.
SITHERI HILLS – EMERGING TOURIST DESTINATION IN HARUR, DHARMAPURI
Authors: S. Kumaran Dr. , Dean Dr. T. Milton , S. Ananth Dr.
Published: June 2024

Sitheri Hills, located in Dharma puri district of Tamil Nadu, is an emerging tourist destination known for its beautiful hill station, green cover, and pleasant climate. However, the findings reveal that the number of tourists visiting the area is relatively low, with poor road conditions, inadequate food options, and limited shopping opportunities. Suggestions include the creation of a dedicated website, improved transportation facilities, the establishment of home stays, attractive travel packages, and the development of basic infrastructure. Emphasizing cleanliness, hygiene, and environmental sustainability is crucial, along with marketing campaigns, safety measures, and a visitor code of behaviour. Overall, efforts are needed to enhance the tourism experience and promote Sitheri Hills as a desirable destination.
“A STUDY ON CORPORATE SOCIAL RESPONSIBILITY AND SUSTAINABLE DEVELOPMENT”
Authors: B Swathi Dr.
Published: June 2024

Corporate social responsibility has evolved as a formalised practice in organizations for more than seven decades. These plans are developed through management and stakeholder participation to support socio economic and environmental sustainability. Organizations are seen as having the necessary resources, such as capital, workforce and technology to implement sustainable practices. A company can become socially sustainable through sound CSR procedures which assist businesses in operating in a way that enables them to be morally successful, but should never be at the expense of the environment or society. CSR practices have evolved into a new management strategy that goes beyond traditional philanthropy or social obligations, this modern approach to corporate social responsibility recognizes the potential for economic benefits linked to sustainable growth. Both CSR and sustainable developmental practices contribute to a company's reputation, customer loyalty, employee satisfaction, and long-term success. Organizations that demonstrate genuine commitment to these principles often enjoy improved public perception and a competitive advantage in a rapidly changing business landscape that emphasizes ethical and sustainable practices. The present paper examined the organizational practices towards corporate social responsibility and sustainable development. The data for the study was collected from various secondary sources and conclusions were drawn.
A STUDY OF EMPLOYEES AWARENESS TOWARDS SOCIAL WELFARE PROVISIONS UNDER FACTORIES ACT, 1949
Authors: Chava Dr. Dilip S. , Vibha Dr.
Published: June 2024

This survey investigates workers' perceptions of health, safety, and welfare standards under the Factories Act of 1948. An exploratory survey design was used in this study. The target group consists of lower-class workers (N=100) employed in the Aurangabad district's industrial sector. The survey procedure is used to collect basic data. To assess employee awareness levels based on age, experience, gender, and educational qualification, a descriptive analysis, frequency, and mean was applied. Workers have moderate level of awareness with factory law. Workers' understanding of factory law grows with age and experience. Male workers are less familiar with factory law provisions than female.
FUTURISTIC TRENDS IN LEAN SIX SIGMA HIGHER EDUCATION INSTITUTES PROSPECTIVE
Authors: Babu Dr. P. Manoj , Gongada Dr. Taviti Naidu , Subbaiah Dr. Venkata
Published: June 2024

Six Sigma was first developed as a technique to problem-solving with the goal of reducing variation in a production and manufacturing setting. A process is said to exhibit variation if its output is not consistent from one iteration to the next. It is important to keep in mind that the principles of Six Sigma are not about quality in the conventional sense. The objective of lean thinking is to provide a steady flow of work that adds value in the least amount of time and with the least amount of wastage of resources possible. The Six Sigma technique and toolset are utilized to improve business processes. This is accomplished by reducing errors and faults, eliminating variance, and increasing both efficiency and quality. Lean Six Sigma (LSS) is a methodology that combines the principles of Lean with those of Six Sigma in order to improve business operations by cutting down on waste and basing choices on empirical evidence.
FUTURISTIC TRENDS IN SOCIAL ENTREPRENEURSHIP AND ITS IMPACT ON IN UPLIFTMENT OF THE SOCIETY – A THEORETICAL PERSPECTIVE
Authors: Jagathi Dr. P. Hima
Published: June 2024

The term "social entrepreneurship" is in prominence both in India and beyond. The best fusion of social service with entrepreneurship is found in the notion of social entrepreneurship. It is very alluring and unusual in nature due to this combination. Entrepreneurship is typically associated with economic pursuits without taking into account social advantages. The rise of social entrepreneurship in India and other countries has made it possible to serve society more meaningfully than ever before while also fully embracing the entrepreneurial spirit. As the term "social entrepreneurship" itself explains, it is a skillful fusion of business success with society benefits. The idea has evolved recently, gaining wider acceptance in various identities and shapes. This essay provides a thorough analysis of social entrepreneurship's contribution to societal improvement, as well as its theoretical underpinnings and operational procedures. This research paper also discusses the numerous difficulties faced by social entrepreneurs and offers suggestions for enhancing social entrepreneurship and entrepreneurs generally in India.
UNDERSTANDING THE EVOLUTION OF AUGMENTED REALITY AND VIRTUAL REALITY IN ONLINE RETAILING: A BIBLIOMETRIC ANALYSIS
Authors: Nikita Ms. , Saihjpal Dr. Ashish , Sambyal Dr. Rachita
Published: June 2024

Augmented Reality (AR) and Virtual Reality (VR) are cutting-edge technologies that have acquired traction in a different industries, including online retailing. In retailing, these technologies have enhanced the shopping experience by integrating virtual elements like augumentation, media enrichment into the real world, allowing customers to visualize products in their own environments and engage them with a more immersive, interactive, and spatial enhanced experiences. By enhancing customer interactions, they have reshaped the way retailers operate and interact with customers. Thus, providing retailers a competitive edge. Experiencing the growing trend of AR/VR in online retailing, the objective of the study is to examine the AR and VR research in online retail including its antecedents, motivations, outcomes, theoretical foundations and moderating factors. The study undertook bibliometric analysis of 201 articles from Scopus database. The data was analysed using different techniques like keyword analysis, content analysis, co-citation analysis and co-occurrence analysis and thematic analysis. The study identified top top authors, countries, institutions etc. working on the AR & VR in retail. The thematic analysis identified two major themes from the literature relating to AR & VR. In the end the study proposed a research framework for future.