bluuebunny/crossref_metadata_2025 huggingface dataset:
The possibilities of using modern pedagogical technologies of all-round karate in adaptive physical education of medical students
Authors: Кучеренко В.С. , Калиновская Т.Н. , Шиншина С.И. , Ульянкина О.В. , Годз Л.А.
Published: June 2024

в статье рассмотрены некоторые возможности применения основных компонентов адаптивной физической культуры в инклюзивном учебно-воспитательном процессе на базе медицинского ВУЗа. В связи с ростом количества абитуриентов с устойчивыми отклонениями в состоянии здоровья и необходимостью реализации концепции здоровьесбережения населения актуален вопрос о расширении использования средств адаптивной физической культуры и адаптивного спорта в процессе обучения студентов с ограниченными возможностями здоровья в высших медицинских учебных заведениях [10: стр. 202]. В работе представлены результаты применения педагогических технологий по формированию тактико-технических умений и навыков всестилевого каратэ при обучении дисциплине «Прикладная физическая культура» студентов-медиков, перенесших ДЦП. Опыт данного исследования может быть полезен в организации инклюзивного учебно-воспитательного процесса на кафедрах физического воспитания в специальных медицинских группах для студентов, с нарушениями в работе опорно-двигательного аппарата, в том числе с последствиями перенесенного ДЦП.

the article considers some possibilities of using the main components of adaptive physical education in an inclusive educational process based on a medical university. Due to the growing number of applicants with persistent health conditions and the need to implement the concept of health saving of the population, the issue of expanding the use of adaptive physical education and adaptive sports in the process of teaching students with disabilities in higher medical educational institutions is relevant. The paper presents the results of the application of pedagogical technologies for the formation of tactical and technical skills and all-round karate skills in teaching the discipline "Applied Physical Education" to medical students who have suffered cerebral palsy. The experience of this study can be useful in organizing an inclusive educational process at the departments of physical education in special medical groups for students with disorders of the musculoskeletal system, including with the consequences of cerebral palsy.
TRANSFORMING EDUCATION WITH CONVERSATIONAL AI: ENHANCING LEARNING EXPERIENCES AND STUDENT ENGAGEMENT
Authors: Katake Kanchan
Published: June 2024

Conversational Artificial Intelligence (AI) has emerged as a transformative technology in the education domain, revolutionizing the way students learn and educators engage with their learners. This chapter explores the impact and potential of Conversational AI in educational settings. By leveraging natural language processing (NLP) and machine learning algorithms, conversational AI enables interactive and personalized learning experiences for students, catering to their individual needs and learning styles. The use of virtual assistants and chat bots in education has provided students with round-the-clock access to educational resources, immediate feedback, and real-time assistance, leading to improved academic performance and self-efficacy. Moreover, conversational AI facilitates continuous assessments, enabling educators to identify knowledge gaps and adjust teaching strategies accordingly. This chapter also examines the ethical considerations surrounding the deployment of conversational AI in education, such as data privacy, algorithmic bias, and the balance between human and AI interaction. While the technology presents remarkable opportunities, it is crucial to address these ethical concerns to ensure a responsible and equitable integration
ARTIFICIAL INTELLIGENCE (AI) AND CLIMATE ACTION (SDG- 13) PROFOUND IMPACT ON HUMANITY: IMPACTS, ADAPTATION AND VULNERABILITY LENSING LEGAL PROVISIONS
Authors: Singh Dr. Bhupinder , Vig Professor (Dr.) Komal
Published: June 2024

The capacity of nature to maintain ecological balance is enormous and uncontrolled as industrial and agricultural expansion has greatly increased the strain on natural resources. The issue of environmental pollution has grown significantly as a result of greater human involvement with nature. Air, water, land, food, noise, thermal, radioactive and other categories of pollution exist. Pollution frequently alters the natural makeup of substances, which is one of its common effects. It disrupts the food chain, the carbon, nitrogen, oxygen and hydrogen cycles, harms plant, human, and animal life, makes it challenging and difficult for living things to survive and as a result, alters our climate. These concerns were discussed in the Rio de Janeiro Earth Summit in 1992, the World Water Conferences in Argentina in 1977, the International Conference on Human Environment in Stockholm in 1972, etc. This paper examines how the Indian Constitution's Articles 21, 39, 42, 47, 48, 48A, 49, and 51A(g) directly or indirectly address environmental protection and preservation with the use and help of Artificial Intelligence (AI). Artificial intelligence (AI) refers to any human-like intellect displayed by a robot, computer, or other machine. It also refers to a computer's or machine's capacity to imitate human mental abilities such as the capacity to learn from examples and experience, comprehend and respond to language, recognise objects, make decisions, and solve problems, as well as the ability to combine these and other capabilities to perform tasks that a person might do. Articles 246, 248, 252, and 253 provide the Indian Parliament and State legislature the authority to enact laws to address climate change and safeguard the environment. There are various clauses in the Indian Penal Code that criminalise pollution. Sections 426, 430, 431, and 432 deal with general pollution, Sections 268 deals with public annoyance, and Sections 277 and 278 deal with water and air pollution, respectively. Under Section 268, noise pollution can be restricted. Additionally, the Indian Parliament has approved a few particular climate change laws.
A REVIEW ON CUSTOMER SEGMENTATION BASED ON PURCHASE HISTORY
Authors: Dehankar Dr. (Mrs.) Archana , Bangade Suraj , Tijare Tanay Tijare , Wankhede Ayush , Meshram Samyak , Tidke Akash
Published: June 2024

Customer segmentation and purchase prediction are important tasks for businesses to understand their customers and make better marketing decisions. Deep learning and neural networks are powerful tools that can be used to learn complex patterns from large amounts of data. This paper reviews the recent advances in using deep learning and neural networks for customer segmentation and purchase prediction. It discusses how these techniques can be used to group customers into different segments based on their purchase behavior, and how they can be used to predict which customers are most likely to make a purchase in the future. The paper concludes by discussing the challenges and limitations of using deep learning for customer segmentation and purchase prediction, and the future research directions in this area
NON-INTRUSIVE FACIAL RECORDING SYSTEM WITH CONVOLUTION NEURAL NETWORK (CNN) FOR ATTENDANCE ASSIMILATION
Authors: Kumar Kulamala Vinod , Rao Madhuri , Kumar Aditya , Sahu Balabhadra , Sahoo Chiranjib , Senapati Sarthak
Published: June 2024

In recent years, Machine and Deep Learning technologies have gained significant attention and adoption in various industries and applications. One such use is creation of Face Recognition-based attendance system using Convolution Neural Network (CNN) Algorithm. Traditional systems have been using manual attendance registers, RFID cards and biometric attendance. CNNs based system utilizes deep learning to recognize facial features in real-time. It is capable of learning complex spatial patterns and extracting meaningful features from images captured. These systems capture images or videos. Then CNN layers perform tasks such as feature extraction, feature mapping, and classification. By proper training through a large dataset, the system learns to differentiate and identify facial features. They offer enhanced accuracy and minimize chances of errors and impersonation. By proper training, these systems can adapt to slight changes in lighting conditions, facial poses and expressions. It enables organizations to track attendance automatically and eliminated any need of manual data entry. Hence promoting, faster and more streamlined attendance management. Furthermore, these systems can be used to enhance security of an organization through integration with existing access control systems to ensure that only authorized individuals gain access/entry to specific areas. It can also be used with real-time alert systems and are very user friendly, requiring individuals only to face the camera or if more than one camera is present, it automatically detects faces and marks attendance. In conclusion, the face recognition attendance system using CNNs represents a powerful and efficient solution for automating attendance tracking. The following chapter will delve into the technical aspects of implementing such a system, including data collection, CNN architecture, training, and deployment considerations
A COMPARISON OF THE IMPACT OF DIFFERENT ADDITIVES ON THE CATION EXCHANGE CAPACITY OF FRESH WATER DRILLING FLUID
Authors: Borah Bichakshan , ech Borkha M
Published: June 2024

In order to optimise it’s rheological and filtration qualities, drilling fluids are often composed of an aqueous clay suspension, weighting material, and various chemicals, salt, polymers, etc. The Cation Exchange Capacity (CEC) refers to the capacity of clay minerals or soil to absorb cations in a form that allows them to be readily exchanged for other cations present in an aqueous solution. Since bentonite is the primary viscosifying clay mineral in the drilling fluid, determining the CEC is a crucial test in determining the quality of commercial bentonites. With the use of a Methylene Blue Test kit (MBT), the CEC value of a drilling fluid is ascertained. When analyzing colloidal stability, CEC determination is crucial. A stable colloid is much more effective than the unstable ones. This test can be used to observe and study the stability of drilling fluid, a colloid. In this study, drilling fluids are made using bentonite and a variety of additives, including barite, various salts, and hydroxide, such as NaCl, KCl, and NaOH, and their CEC values are measured. These salts and barite have been found to have no effect on the CEC value of drilling fluid, although NaOH did. After ageing for a few days, the drilling fluid's CEC value is examined
BIOENERGY- A SUSTAINABLE AND RELIABLE SOURCE FOR CLEAN ENERGY
Authors: Mathur Akansha , Jonwal Harshita , Sinha Vikky
Published: June 2024

The 21st century is fraught with dangers like environment pollution and climate change. These problems should be of great concern not only because of nature’s intrinsic value but also because of ethical concerns for future generations. Hence, there is a dire need for a novel sustainable strategy for the production of bioenergy which can make significant contributions in reducing carbon emissions, especially from difficult-to-decarbonizes sectors like aviation, heavy transport, manufacturing etc. Worrisome rise in our reliance on fossil fuels like oil, coal and natural gas has led to depletion of these resources thereby further aggravating the scenario. Globally finding ways to facilitate this shift is difficult, and thus more policy initiatives are being tested using models before their execution in practice. Bioenergy technology, a sustainable and reliable technology is emerging as a potential strategy/ process for energy requirements. The creation of energy (electrical, thermal, chemical and acoustic) by biological processes that affect both living and non-living systems is featured as bioenergy that can be the answer to be sought. Many nations' decarbonization programmes are a part of the transition to renewable and low-carbon energy sources. As a result of their ability to address issues with energy security and environmental pollution, bioenergy systems are anticipated to grow during the ensuing decades. The main renewable energy sources include biogas, bioethanol, coal, hydrogen and biodiesel. Recent developments in data science and machine learning (ML) can provide new opportunities. The latest advances in ML assisted bioenergy technology, including energy utilization of lignocellulosic biomass, microalgae cultivation, biofuels conversion and their applications. In addition, microbes serve as a foundation for generating clean energy from sustainable sources. Substantial efforts have been devoted to exploring novel microbial systems and their capacities, understanding the molecular processes that facilitate microbial bioenergy generation, and enhancing the efficiency of established microbial bioenergy systems through significant investments. Any renewable energy project, however, can only be permitted if it is certified for being more environmentally superior than its conventional competitors.
CAR PARKING SYSTEM USING IOT
Authors: Mahesh Mr. Muppidi , Sai T. Chandana
Published: June 2024

In today's crowded cities, finding a parking space can be exceedingly challenging. There are too many automobiles on the road but not enough parking spots. One of the biggest problems is arriving at a parking spot only to discover there are no available places. Another significant problem is the challenge we have while trying to find an empty parking space after entering a big parking lot. These two problems may have periodically troubled us all, squandering time. We developed the "Car Parking System Project" to address this problem. This project enables drivers to park their cars effectively and swiftly by providing precise information regarding parking space availability.
LITERATURE AND ARTIFICIAL INTELLIGENCE
Authors: hazra supriya
Published: June 2024

“In the 21st century, artificial intelligence (AI) has become an important area of research in virtually all fields: engineering, science, education, medicine, business, accounting, finance, marketing, economics, stock market, and law, among others (Halal (2003), Masnikosa (1998), Metaxiotis et al. (2003), Raynor (2000), Stefanuk and Zhozhikashvili(2002), Tay and Ho (1992) and Wongpinunwatana et al (2000)”. Artificial intelligence (AI) has the potential to significantly alter civilization in several different sectors. These adjustments can alter the way we live, work, and interact. They can be both beneficial and difficult. Automation powered by AI can streamline operations, resulting in higher production and efficiency.
SOFTWARE-DEFINED WIRELESS NETWORKING: BRIDGING THE GAP BETWEEN SDN AND WIRELESS EVOLUTION
Authors: Shaik Abdul Subhahan , Shaik Nazeer
Published: June 2024

Wireless networking has evolved significantly over the years, from the early days of 1G to the upcoming era of 6G. However, traditional wireless networks still face limitations in terms of flexibility, resource management, and adaptability. Software-Defined Wireless Networking (SDWN) emerges as a solution to address these challenges by integrating the principles of Software-Defined Networking (SDN) with wireless communication environments. This paper provides a comprehensive overview of SDWN, covering its concepts, architecture, benefits, challenges, and real-world applications. The paper begins by explaining the fundamentals of SDN and how it contrasts with traditional networking. It then delves into the core concepts of SDWN, highlighting its components and architecture. The advantages of SDWN in network management, Quality of Service (QoS) enhancement, and adaptability are discussed, along with the challenges it introduces, such as security concerns and scalability issues. The integration of SDWN with emerging technologies like 6G, artificial intelligence, edge computing, and efforts towards standardization are explored as future prospects. Case studies demonstrate the practical implementations of SDWN in different domains, including smart cities, industrial IoT, and healthcare environments. The challenges and open issues associated with SDWN are also addressed, encompassing scalability, dynamic spectrum management, network resilience, legal and regulatory considerations, and ethical implications. In conclusion, Software-Defined Wireless Networking holds the potential to revolutionize wireless communication by providing central control, dynamic resource management, and adaptability. As it matures, SDWN is set to play a significant role in shaping the future of wireless networks.
PRECISION WEED MANAGEMENT TECHNIQUES FOR SMART AGRICULTURE
Authors: Mishra Gayatree , Mohapatra Ashok Kumar , Rath Sweta
Published: June 2024

The global population's growth has led to an increased demand for food production, consequently placing greater pressure on agricultural systems. Additionally, challenges linked to climate change, water scarcity, and diminishing arable land pose significant threats to the sustainability of farming. Weeds play a detrimental role in agricultural systems by competing for natural resources, thereby reducing both the quality and productivity of food production. To address this issue effectively and sustainably, it is essential to integrate various weed management methods, such as cultural, mechanical, and chemical approaches, in a balanced manner that does not harm the overall agrarian ecosystem. Consequently, it is crucial to avoid overreliance on intensive mechanization and herbicide usage, as the development of herbicide-resistant weed biotypes has become a substantial global concern, dating back to the emergence of 2,4-D resistance in the United Kingdom, Hawaii, the USA, and Canada in 1957. Given this situation, weed scientists must explore alternative weed management strategies that enhance agricultural productivity within the context of smart agriculture. Simultaneously, recent advancements in weed control technologies have the potential to increase food production levels, reduce input requirements, and mitigate environmental damage, thus moving us closer to more sustainable agricultural systems. Precision weed management (PWM) is one such alternative strategy that increases farm productivity by combining integrated weed management practices (chemical, mechanical, manual, and cultural) with site-specific, economically viable weed sensing systems (both aerial and ground-based). In order to help the farming community, weed experts should proactively focus their future research efforts on developing and integrating these techniques.
GROWTH AND YIELD PERFORMANCE OF RADISH IN PROTECTED CULTIVATION UNDER RAIN HOSE AND DRIP TAPE IRRIGATION SYSTEM
Authors: Aparna C. , Ravi Kumar J. , Hema Latha M. , G. Muralee Krishna Dr.
Published: June 2024

Land and water are two input precious natural resources which need to be conserved for sustainable agricultural production. Water conservation plays a vital role in dry land farming. Agriculture in India has facing number of problems which include increasing in population, depletion of water availability, runoff and cultivated land. Increasing in population and depletion of groundwater resources is the major problems for food security and stability. Irrigation lands now produce 4% of the food supply which doesn’t meet the required supply. To avoid all the problems, a new sustainable land and water management technique and new irrigation method is introduced which is called Rain hose and Drip tape irrigation system. An experiment was conducted on the performance evaluation of radish crop with rain hose and drip tape irrigation systems under polyhouse. The results revealed that the uniformity co-efficient was found to be higher by 3.55% in T1 treatment (Drip tape with 20 mm dia) as compared to T2 (Rain hose with 40 mm dia). The growth parameters were observed, the maximum mean number of leaves and leaf area of Radish was recorded in T1 (Drip tape irrigation system) with 22 No and 172 cm2 and minimum number of leaves and leaf area was recorded in T2 (Rain hose irrigation system) with 20 No and 129.34 cm2. From the yield parameters it was observed that tha maximum mean root length, root diameter and root weight of radish is recorded in T1 (Drip tape irrigation system) with 30.4 cm, 3.165 cm, and 0.259 kg and minimum root length, root diameter and root weight was recorded in T2 (Rain hose irrigation system) with 29.27 cm, 3.122 cm and 0.242 kg. The yield of radish was found to be 39.88 t/ha in T1 and 38.45 t/ha in T2.
MODELLING OF THE PARTICLE MIXING IN SEAD COATER USING DEM SOFTWARE
Authors: Navya Valle , Sriharika Gattu
Published: June 2024

In numerous industrial applications like seed and tablet coating, there is significant interest in coating particulate solids with a thin film layer. Seed processing commonly involves applying a protective coating to seeds using fertilizers, and disease-control agents like pesticides and fungicides. This process is often carried out using batch coaters, typically comprised of a cylindrical drum rotating horizontally. The coating material is fed into the drum simultaneously with the seeds driven around it by the horizontal rotation. Three baffles, positioned on either side of the drum, help to mix the seeds during the coating process. This study focuses on modeling the seed coating process using the Distinct Element Method (DEM) simulations. Groundnut seeds are used as the model material, and their shape and size are approximated as clumped spheres in the DEM. The DEM coating model predicts the velocity of the seeds as they are projected tangentially from an opening in the drum. The seed velocity is measured using high-speed video imaging and incorporated into the DEM simulations to validate the results. In the simulations, the velocity of seeds is represented using different colors. The study evaluates the distribution of seeds and their coefficient of variation under various process conditions, such as the rotational speed of the drum, baffle arrangement, and designs. The findings indicate that the speed of the drum, the angle of the baffles, and the clearance to the wall have the most significant impact on the process, while the baffle width and curvature have only a minimal effect.
LINKAGE BETWEEN CLIMATE CHANGE- GLOBAL WARMING AND BIODIVERSITY
Authors: L Malleswara Rao Dr. , APV Appa Rao Dr. , Ramakrishna Rao P , Sundar Singh Ch. , Kanaka Rao Ch. , Soma Sekhar S.
Published: June 2024

The variety of living creatures on Earth, or biodiversity, is an essential indicator of the planet's health. Climate change mitigation necessitates the preservation of biodiversity levels and functional ecosystems; however, climate change is expected to cause significant disruption to the Earth's natural ecosystems, resulting in biodiversity loss and a significant decrease in the products and services available to humanity. Increased warmth and biodiversity loss may have an immediate effect on water availability, food safety, soil nutrients, and human health. Conservation measures must be implemented; the land use pattern may be detected via remote sensing, which is especially useful for identifying change due to systematic coverage. Climate change has emerged as the world's most serious environmental issue. It is both a threat and a point of contention. Climate change is expected to have a detrimental impact on important economic sectors and sustainable development. Climate change is expected to have a greater effect on emerging countries across all industries. One of the sectors that are expected to be badly damaged is biodiversity. Changes to India's current climate system may have an influence on several ecosystems, as well as vital sectors such as water resources, agriculture, natural ecosystems including forestry, health, and industrial sectors.
ENHANCING SUSTAINABLE AGRICULTURE AND LIVELIHOODS THROUGH INTEGRATED ORGANIC FARMING SYSTEMS (IOFS) IN NORTHEAST INDIA
Authors: Makdoh Badapmain , Biswakarma Niraj , Layek Jayanta , Gulleibi Naorem Chanu
Published: June 2024

The North East region of India stands out with its significant potential for organic farming due to indigenous knowledge and a tradition of sustainable agricultural practices. The adoption of IOFS, which merges diverse farming components, offers a holistic and comprehensive strategy to improve livelihoods and ecological well-being. The cluster approach to introducing IOFS in Meghalaya demonstrates the importance of community involvement and local adaptation. Farmers are educated through training sessions and workshops, enhancing their understanding of integrated organic farming techniques, soil health management, and livestock care. The core principles of IOFS emphasize enhancing soil health, biodiversity, and resource use efficiency. By integrating crop and livestock systems, organic matter recycling, and agroforestry, IOFS enhances soil fertility, minimizes external input dependency, and promotes climate resilience. This approach also addresses challenges such as yield variability and labor intensity. However, its implementation requires farmers to navigate a learning curve and overcome initial investment barriers. The IOFS model’s impact on the village and farming systems underscores its potential to improve agricultural sustainability, food security, and livelihoods in the North East region. In conclusion, the transition from traditional organic farming to the Integrated Organic Farming System (IOFS) in the North East region of India presents a promising avenue for sustainable agricultural development. The integration of diverse components offers a holistic approach to enhance productivity, resource use efficiency, and climate resilience. While challenges exist, the case study from Meghalaya demonstrates the positive outcomes of adopting IOFS, emphasizing its potential to improve livelihoods and ecological well-being in the region.
BASIDIOMYCETOUS FUNGI: A NOVEL AGENT OF ANTIVIRAL AND ANTIBACTERIAL PROPERTIES
Authors: Sangeetha B. , Adlin Pricilla Vasanthi E. , Rashtrapal Patil Sneha
Published: June 2024

Mushrooms (Basidiomycetous and ascomycetous fungi) are sources of several compounds such as secondary metabolites, lectin, lipids, peptides, proteins, and polysaccharides and are widely used for medicinal properties. The important aspect of medicinal mushrooms was evaluated by several researchers. The basidiomycetous fungi have antiviral, antibacterial, antifungal, antitherapeutic, antidiabetic, antitumor, antimicrobial, immunoregulative, anti-inflammatory and antioxidant properties. Because of this effect, it is used for anti-viral and antibacterial activity against human diseases. Also, some of the researchers found antiviral and antibacterial properties against plant diseases. The use of microbial origins for the management of plant diseases reduces the pollution in the environment and reduces the cost of input during cultural practices. This chapter delivers the importance of medicinal mushrooms against human and plant pathogens.
DAIRY WASTE WATER: A REVIEW
Authors: Seval Sevgi Kirdar Prof. Dr.
Published: June 2024

The industries that produce a significant amount of effluents include food processing, textile pulp and paper, and distilleries . The dairy industry is a significant focus within the food processing sector due to its production of 0.2e10 liters of wastewater per liter of processed milk. The wastewater generated by the dairy industry is known for its elevated levels of biological oxygen demand (BOD), chemical oxygen demand (COD), and nutrients. In many instances, untreated wastewater is discharged into the environment, resulting in various significant issues. These include pollution of surface and groundwater, as well as eutrophication caused by the presence of nitrates and phosphates. These problems pose risks to human health and disrupt the balance of ecosystems.
COMPUTER AIDED DRUG DESIGNING – A NOVEL APPROACH METHOD
Authors: Das Jyotirmoy , Tassa Basudev , Das Biplab Kumar
Published: June 2024

Today, there possesses different types of drugs against different diseases and various sophisticated technologies but still it is not enough to develop drugs instantly against a new emerging disease as drug designing and development is a complex and lengthy process and requires a huge amount of money. In 21st generation, other reliable methodsare being used to speed up the drug discovery process following the combinatorial chemistry emergence, known as computer aided drug designing where drugs leads are being predicted among the huge number of molecules by checking the interaction between the target and various ligands and also their drug likeliness property through insilico approaches. It involves methods such as homology modeling de novo approach, virtual screening approach, molecular docking, QSAR, simulation and various others. ChemDraw and other molecular structure drawing programs, descriptor generators like DRAGON, MolConnZ, and OEChem, text editors like UltraEdit and EMACS, databases like ZINC, PubChem, and ChemDiv, all QSAR programs, Perl and Python modules, the AutoDock3 program, the AutoDock Tools package, the OpenBabel program, and many more programs are used for all of these tasks. With the help of this softwares drug designing using insilico approach has minimized the cost and the time required as well as reduced the chance of failure or rejection of drugs at the clinical trial phases.Till date many drugs have been discovered using insilico methods for different diseases such as cancer, hypertension, diabetes which falls among the top category in the list of global causes of deaths along with various other diseases and even the diseases that are caused by pathogens.
IOT PRIVACY AND SECURITY
Authors: Iyyappan Mr. C. , Latha Dr. R.
Published: June 2024

The Internet of Things (IoT) has witnessed rapid proliferation, revolutionizing the way we interact with technology in various domains of life. This ubiquitous network of interconnected devices, however, presents serious challenges concerning privacy and security. As IoT devices gather vast amounts of sensitive data and share it across networks, ensuring the protection of user privacy and guarding against potential security breaches becomes paramount. This abstract delves into the primary concerns surrounding IoT privacy and security, addressing issues such as data collection, user consent, data ownership, and vulnerability to cyber-attacks. Furthermore, it explores potential solutions, including encryption, blockchain technology, and the implementation of robust authentication mechanisms to safeguard IoT ecosystems. Acknowledging the significance of effective regulation and industry collaboration, this abstract concludes by emphasizing the need for continued research and proactive measures to address the evolving landscape of IoT privacy and security challenges.
AN ERGONOMICS FOR PHOTOGRAPHERS WITH PREVENTION OF MUSCULOSKELETAL DISORDERS
Authors: Senthilkumar Dr. S , Rajasekar Dr. S , Jeyakumar Dr. S
Published: June 2024

Photography is a visually captivating profession that requires photographers to spend extended periods in physically demanding positions. The repetitive and prolonged movements involved in capturing mages can lead to musculoskeletal disorders (MSDs) if proper ergonomic practices are not followed. This article aims to provide an overview of ergonomics for photographers and the prevention of MSDs. The key focus of ergonomics for photographers is to optimize body posture, reduce physical strain, and minimize the risk of injury. This can be achieved through various measures such as maintaining proper body alignment, using well-designed camera equipment, and creating an ergonomic workspace. Proper body alignment involves maintaining a neutral posture while shooting, avoiding excessive bending or twisting of the spine, and distributing weight evenly. Using a camera grip that fits comfortably in the hand and a padded camera strap can help reduce strain on the wrists and shoulders. Camera bags and backpacks should be designed to distribute weight evenly across the body, preventing excessive strain on specific muscle groups. Tripods with adjustable legs and quick-release mechanisms contribute to a more comfortable shooting experience. In the editing phase, photographers should pay attention to their workstation setup. A well-adjusted chair with good lumbar support and a desk at an appropriate height can help prevent neck, back, and wrist pain. Additionally, proper monitor placement, adequate lighting, and glare reduction techniques are essential to minimize eye strain and fatigue. Taking regular breaks, incorporating stretching exercises, and maintaining overall physical fitness are important aspects of preventing MSDs. Conditioning exercises that target muscles commonly used in photography, such as the core, shoulders, and wrists, can help build strength and flexibility. By implementing these ergonomic principles, photographers can reduce the risk of developing MSDs and promote a healthier and more sustainable working environment. It is crucial for photographers to prioritize their well-being and take proactive measures to prevent occupational injuries.
MUSCULOSKELETAL DISORDERS IN CHRONIC OBSTRUCTIVE PULMONARY DISEASE (COPD)
Authors: Kumar Verma Dr. Ajay , Kumar Pandey Dr. Anuj , Tripathi Shreya , Kant Dr. Surya
Published: June 2024

Chronic obstructive pulmonary disease (COPD) is a long-term, inflammatory lung disease that makes breathing difficult. It is a progressive disease, which means that it worsens over time. COPD can lead to a variety of additional health issues known as comorbidities. Comorbidities include cardiovascular disorders, musculoskeletal disorders, depression and anxiety, nutritional issues, lung cancer, obstructive sleep apnoea, etc. Here, we are focusing on musculoskeletal disorders and COPD. COPD patients typically have muscular dysfunction, often known as skeletal muscle wasting, which causes muscle weakening, muscle mass loss, and functional issues. Muscle dysfunction lowers exercise ability and quality of life. People with COPD can manage their musculoskeletal complications and enhance their general health and well-being through the use of fall prevention strategies, medication, regular exercise, and proper nutrition. Similarly, by optimizing patient care and understanding COPD-related musculoskeletal problems, their causes, and appropriate therapy, healthcare practitioners can treat COPD's musculoskeletal issues and improve patients' well-being with a multidisciplinary approach. In this chapter, osteoporosis, osteoarthritis, muscle cramps, fatigue, chest wall deformities in severe COPD, major cytokines in muscular abnormalities, and multidisciplinary management of musculoskeletal disorders in COPD are discussed in detail.
SMART GRIDS AND SOLAR ENERGY: ROLE OF ARTIFICIAL INTELLIGENCE IN GRID MANAGEMENT
Authors: Kaur Swapandeep , Kumar Raman , Singh Kanwardeep
Published: June 2024

Smart grid integration with solar energy has enormous promise for efficient and sustainable energy systems. Artificial intelligence (AI) is key in maximizing smart grids’ performance, dependability, and control with solar energy integration. The seamless integration of solar energy sources is the main topic of this chapter’s exploration of the many uses of AI in grid management. The main functions of AI in energy storage management, grid monitoring, defect detection, optimization, and security are explored, along with load forecasting and demand response. Energy grid operators may successfully balance energy supply and demand, improve grid stability, and lower operating costs using AI’s capabilities, leading to robust, secure, and sustainable smart grid systems.
EFFECT OF TEMPERATURE FOR THE SYNTHESIS OF ZnS NANOPARTICLES BY HYDROTHERMAL METHOD
Authors: John Bincy , Joseph Julin , Silvena G. Genifer
Published: June 2024

ZnS nano materials are synthesized using the facile hydrothermal method. Here the work is to introduce the influence of reaction temperature for the formation of ZnS nanoparticles using simple hydrothermal method. In this work, the experiments were conducted at temperatures of 140 ºC, 150 ºC and 160 ºC respectively. Systematic investigations are carried out for the synthesized nanomaterials using different analysis techniques and the significant changes that are occurring on the crystal structure, morphology and optical properties are discussed in detail by XRD, FTIR, SEM, UV-Vis spectroscopy and PL spectroscopy. The obtained band gap was in the range of 4.41-4.83 eV which shows that the material has potential advancement in optoelectronic device applications.
CHEMISTRY OF SOME FASCINATING HOMOLEPTIC MACROCYCLIC POLYTELLUROETHERS, TELLUROMETALLOMACROCYCLES AND TELLURAPORPHYRINS; SYNTHESIS AND STRUCTURAL PERSPECTIVES
Authors: Pratim Das Partha
Published: June 2024

Since long back, organic chalcogen hypervalent compounds have garnered a lot of attention. The study of telluranes has attracted much less emphasis even though the structural along with theoretical properties of selenuranes as well as hypervalent sulfuranes have both been extensively investigated. Even pollytelluroether macromolecules are also not so large in number, which is definitely not expected given the better σ-character and lower electro negativity of Te compared to S/Se. The development of unique macrocycles with various core size and metal binding capacities has been facilitated by core-modified porphyrins, in which part of the four N donors are substituted by one or more Te. Te-containing 21- and 23-core modified porphyrins carry out several types of catalysis reactions. In this chapter, few interesting molecules from three different types of tellurmacrocycles, e.g. homopectic macrocyclic polytelluroethers, tellurometallomacrocycles and telluraporphyrins have been discussed briefly from their synthetic and structural viewpoints.
SHIRLEY L. ARORA'S NOVEL WHAT THEN, RAMAN? (BETTADA HOOVU)
Authors: Parvin A H
Published: June 2024

Kannada- language film,Bettada Hoovu of 1985 directed by N. Lakshminarayan and produced by late Parvathamma Rajkumar whose late son Puneeth Rajkumar (1975-2021) was a child artist in the lead role played the naïve Ramu. His performanceearned him the National Film Award for Best Child Artist. Deccan Herald ratedthe film number one among the best “children’s movies in Kannada”. The film won three Filmfare Awards South. Dr. Shirley L Arora, an American writer, and Indian ‘bahu’ married to Harban is actually the contributor of the story from her novel What Then Raman? It is irony that she has hardly made any place among anglophile Indian readers. She is less known and oblivious to the passage of time.
VIRAL KERATITIS
Authors: Mishra Dr. Neeta
Published: June 2024

Keratitis is the inflammation of the cornea. The inflammation is secondary to the infection. Viruses have ambiguous characteristics’, It behaves as living when entering a living body due to the presence of DNA double strands or single-stranded RNA. The major cause of superficial keratitis are those caused by viruses. The most common being Herpes zoster and adenovirus. The sign ranges from superficial punctate epithelial defect to circum corneal injection, and endothelial infiltrates with hypopyon. The symptoms can be minor as watering to severe pain.The treatment of the viral keratitis is based on the clinical presentation and symptoms. Anti viral tropical drops can be helpful with artificial tear, but it can be the combination of drops with oral medication and sometimes even surgical intervention is required. Its important to know the pathophysiology of the causative agent to control the multiplication thus minimising the corneal defect.
BRACHYTHERAPY IN BREAST CANCER
Authors: Bagchi Antara , Jaiswal Isha
Published: June 2024

The incidence of breast cancer has been showing a continuously rising trend, not just in India but also across the globe. The treatment of breast cancer encompasses multiple disciplines, i.e., surgery, radiotherapy, chemotherapy, hormonal therapy and targeted therapy. These modalities play an integral role in the course of treatment, and have a distinct role and mechanism of action and work in conjunction. This also has direct implications on the psychosocial state of the patient. Owing to this, Breast Conserving Surgery has gained recognition and acceptance as the preferred surgical modality in majority of patients. Radiotherapy is an essential element of management of these patients (BCS with RT together known as BCT or Breast Conserving Therapy); and brachytherapy has been established as a highly precise and effective modality of delivering radiation.
RECENT ADVANCES IN DIAGNOSTIC ORAL MEDICINE
Authors: Rahman Shaik Afsah , Ara Dr SyedaArshiya
Published: June 2024

In the evolving realm of dentistry, diagnostic oral medicine plays a vital role in early detection. This chapter explores recent advancements providing accurate, efficient, and non-invasive methods for identifying oral lesions, caries, and periodontal diseases. Key areas include novel techniques such as chemiluminescence, optical spectroscopy, brush biopsy, and salivary genomics. Advanced caries detection techniques like fiber-optic transillumination (FOTI), Diagnodent, and Cariescan Pro TM offer efficient alternatives. Periodontal disease diagnosis advances through microbial tests, biochemical tests, and molecular biology tests. These innovations empower dentists to deliver timely interventions, tailoring treatment programs for enhanced patient outcomes. By embracing these tools, oral healthcare professionals can provide personalized, evidence-based care, contributing to improved oral health and quality of life. This chapter serves as a concise guide for navigating the transformative landscape of diagnostic oral medicine, emphasizing precision and patient-centric approaches in oral healthcare.
3D PRINTING: ITS APPLICATIONS IN PEDIATRIC DENTAL PRACTICE
Authors: Kalaivanan Dr. Dhanraj , Chamarthi Dr. Vishnurekha , Saleem Dr. Sumaiyya
Published: June 2024

Additive manufacturing, which uses digital data for production, has supplanted traditional manufacturing techniques in the digital age. The medical industry was first affected by this manufacturing revolution in the early 20th century and has since extended its influence to encompass all areas of biomedical and allied healthcare, including dentistry. Additive manufacturing is rapidly emerging as a valuable tool in various branches of dentistry. What sets it apart from traditional formative and subtractive manufacturing methods is that it constructs objects layer by layer through the addition of building materials. Because of its kid-friendly methodology, 3D printing has becoming more popular in pediatric dentistry, especially when intraoral scanners were introduced. This technology plays a multifaceted role in advancing pediatric dentistry into the digital era, ushering in a new era of customized, child-friendly, and painless holistic dental practices.
THE STATE OF KIDNEY TRANSPLANTATION: A REVIEW
Authors: Badar Dr Juveria , Amrooz Atika , Mehrooz Adiba , Kazim Dr Syed Mohammed , Aleem Dr M A , Fatima Dr Nabeela
Published: June 2024

Treatment of choice for those with end- stage renal illness is constantly a order transplant. Over the 5 decades, the field of order transplantation has been expanded. End- stage renal complaint cases that are on the waiting list and latterly admit a order transplant have a advanced chance of long- term survival than those who continue entering dialysis. In addition, transplant recipient constantly have advanced quality of life and have a 1 decade survival advantage over dialysis recipients. The liability of surviving order comity is constantly loftiest among family members. Successful living- patron transplants, still, are also constantly performed using feathers from unconnected benefactors, similar as familiarity, associates, or members of a religious community. Preemptive order transplantation, frequently known as a transplant before dialysis is needed, may also be profitable for some cases. The health enterprises connected to a order transplant include those directly related to the procedure and organ rejection. The adverse consequences of taking immunosuppressive medicines, which are used to stop the body from rejecting a given order, are another threat.
ADVANCEMENTS IN ASSISTIVE TECHNOLOGY: MYOELECTRIC ELBOW-WRIST-HAND ORTHOSIS FABRICATION USING 3D PRINTING TECHNOLOGY
Authors: Dongre Dr. Nikhil Haribhau , Bhuyar Dr. Lukeshkumar Rajendra
Published: June 2024

Background and Overview: Myoelectric Elbow-Wrist-Hand Orthosis (MEWHO) is a revolutionary assistive device designed to provide enhanced functionality and independence to individuals with upper limb disabilities. This abstract provides an overview of the key features, working principles, and potential benefits of the MEWHO. The MEWHO is a custom-designed orthotic device that utilizes advanced myoelectric technology to detect and interpret the user's residual muscle signals from the forearm. These signals are then translated into precise movements, allowing the orthosis to mimic natural joint motions of the elbow, wrist, and hand. The system's sophisticated sensors and algorithms enable seamless and intuitive control, making it a user-friendly and efficient tool for daily activities. The key components of the MEWHO include an elbow joint with adjustable flexion and extension, a wrist joint providing pronation and supination, and a multi-articulated hand with finger flexion and extension capabilities. The device is lightweight, durable, and comfortable to wear, encouraging prolonged use and minimizing fatigue for the user. The primary application of the MEWHO is to assist individuals with conditions such as brachial plexus injury, spinal cord injuries, and stroke. By restoring hand dexterity, enabling object manipulation, and supporting various grasping patterns, the orthosis empowers users to perform a wide range of activities, from simple tasks like eating and dressing to more complex actions involving tools and instruments. In addition to enhancing functional independence, the MEWHO has shown promising results in rehabilitative settings. It can be used as a valuable tool for upper limb rehabilitation, promoting motor learning, and providing proprioceptive feedback to the user. Therapists can customize the orthosis settings to suit individual needs, tailoring the training process for optimal outcomes. Despite its many advantages, the MEWHO also faces some challenges, such as cost, availability, and the need for skilled training for both users and caregivers. However, ongoing research and advancements in technology are continuously addressing these limitations, making myoelectric orthoses increasingly accessible and affordable. In this chapter, we have tried to propose a novel 3D-printed Elbow wrist hand orthosis that is controlled by electromyography (EMG) signals. In conclusion, the Myoelectric Elbow-Wrist-Hand Orthosis represents a significant step forward in the field of assistive technology, offering a comprehensive solution for individuals with upper limb disabilities. As the device evolves and becomes more widely available, it holds the promise of transforming the lives of countless individuals, granting them newfound independence and a higher quality of life.
CLOUD DATABASES
Authors: M. Laxmaiah Dr. , Swamy B. Kumara , Saikiran Avudurthi
Published: June 2024

In recent times, cloud computing has emerged as one of the most versatile technologies, and as a result, databases have also transitioned to the cloud. In this context, we will delve into the intricacies of Database as a Service (DBaaS) and explore its functioning. This article encompasses all the essential details regarding Database as a Service (DBaaS). The operation of the database as a service and its issues are explored using an appropriate approach. Database as a Service (DBaaS) delves into the architecture of cloud-based databases and its collaborative functionality with nodes. This paper will highlight key considerations when choosing the optimal Database as a Service (DBaaS) solution. It will assess the advantages and disadvantages of DBaaS to assist in making an informed decision about its adoption. Numerous e-commerce enterprises have already embraced DBaaS, experiencing its advantages firsthand.