bluuebunny/crossref_metadata_2025 huggingface dataset:
SURVEYING ON UBI-BASED SMART FISH FARMING AQUACULTURE MONITORING SYSTEM
Authors: Swetha K B Dr. , Vishwanath K C Dr. , Kavitha H Dr. , Manasa P M Prof
Published: June 2024

Water is one of the main elements that has a major impact on ecosystems. However, it is now widely used, which contaminates the water, as a result of fast industrialization, human waste, and careless use of pesticides and chemical fertilisers in agriculture. Installing a water monitoring system is thus necessary to keep track of the water quality over a large area, such as a lake, river, or aquaculture. According to the state of the world today, To monitor, gather, and analyse data from remote locations, a range of subject fields use Internet of Things (IoT) and remote sensing techniques. In this study, a real-time, low-cost system for monitoring water quality in an IoT setting is proposed. Numerous sensors for detecting physical and chemical characteristics are included in this system. The pH, turbidity, conductivity, and dissolved oxygen levels in water can all be determined with these sensors. With the help of this technique, it is possible to analyse online-posted data and gauge the state of water bodies in the present.
FAULT AND CONDITION MONITORING OF THREE PHASE INDUCTION DRIVE BASED ON INTERNET OF THINGS
Authors: Shuaib Y. Mohamed , Bharanigha V. , Kumar R. Ranjith , Suresh S.
Published: June 2024

Due to the expanding trend of the Internet of Things (IoT), there are ever more sensors being used internationally. A wireless IOT based control and monitoring system for induction motor (IM) failure and condition detection is provided in this study. A sensor module has been used to monitor the numerous parameters, such as current, voltage, temperature, and speed, and a microcontroller has been used to analyse and display the data. Additionally, data has been transferred to a cloud database using the Ethernet module of the microcontroller, allowing for wireless remote monitoring and control of an IM. Because the current, voltage, temperature, and speed levels have been wildly confined, the system's capacity to monitor and control a wide range of parameters in real-time has been improved. The proposed method has a lot of potential for monitoring machine status safely and affordably in an industrial setting with complicated systems. Wi-Fi networks are so simple, dependable, and adaptable for remote IM control.A temperature of 32.5℃ has been recorded. The motor's speed is 1230 rpm and a voltage of 230V has been observed.
IOT BASED MONITORING OF DUAL AXIS TRACKER FED PV SYSTEM
Authors: Ramya R. R. , Banumathi J
Published: June 2024

We are currently living in a new era of modernism known as the Internet of Things (IoT). In this proposed system, the performance and monitoring of solar energy are significantly improved by using the IoT. It is a method for monitoring solar panel performance to provide the most power for active use. To trap maximum energy from PV, dual axis solar tracker is used. The strongest feature of these trackers is their ability to travel in all directions, which allows them to track the Sun's motion for longer while also supplying more energy. They don't hold off until the sun's rays touch the panels. Instead, during the day, the panels move in sync with the Sun. The DC-DC converter equipped with an MPPT controller is necessary to increase the PV cell's utilization efficiency. In this system, a SEPIC converter is employed to raise the voltage to the desired level with little voltage stress. Moreover, in order to achieve optimal efficiency, Type -2 fuzzy based MPPT approach is employed for tracking the maximum power when solar array module output power changes in case of sun insolation and temperature fluctuation. The proposed system works well in generating high power as well as it enhances the system effectiveness. With the use of MATLAB, the simulation results of the proposed system were obtained. The findings describes that the proposed PV model’s productivity and efficiency have greatly improved compared to conventional approaches
CONNECTING THE DOTS
Authors: Kadur Srikantha
Published: June 2024

One of the buzz words in emerging technologies has been for last 5 years is definitely "IoT". The growth of IoT is not as expected earlier and the author has tried to give a practical approach to its success. Tried to define the role of each stakeholder, along with problems in govt Policies and their rectifications.
SMART CYBER REVOLUTION WITH IOT & ARTIFICIAL INTELLIGENCE
Authors: Reddy S. Ramchandra , Prasad K. Shiva , Rahul N. , Vardhan A.S. Harsha
Published: June 2024

The Internet of Things (IoT) is a kind of network which interconnects the devices with the help of internet and because of the IoT we are able to use the ‘smart’ devices in our daily life. IoT is used in transmitting of data among the devices, it is mostly used in tracing and monitoring devices and many other things. IoT makes most of the things or the devices ‘smart’ by allowing the devices to communicate or transmit the data among various devices and basically automating the tasks in devices. A smart watch which is a health tracking device wearable device is an example of IoT in our life. The next “smart evolution may involve these highly networked systems, sometimes referred to as cyber–Physical Systems (CPS), which are employed in embedded technology and smart things. IoT and “Data science” together can essentially lead to the next “smart evolution”. With this far less powerful computing capability, the enormous amount of data that is produced by this evolution is incredibly difficult to handle. A solution to this issue can be provided with the aid of data science and artificial intelligence (AI) research. The Internet of things will continue to face some security and ethical problems.
SMART BLOCKCHAIN AND IOT BASED COUPLED SECURITY MECHANISM FOR VOTING SYSTEMS TO PREVENT ELECTION DATA TAMPERING
Authors: Karuppusamy R. , Hayum A. Abdul , Vidhyasekar A. , Paulchamy B. , Hakkem B.
Published: June 2024

The alleged advantages of electronic voting initiatives, their wider adoption, and implementation methods that are taking longer than anticipated are briefly discussed in this study. The venerability and usability of the electronic voting system are hampered by a number of technological, social, and cultural issues. Given the various legal and regulatory platforms, one of them is the evaluation and standardization of e-voting systems, which remains a significant obstacle to be overcome. This subject has only been briefly discussed in the literature on electronic voting. We also used bilinear pairing to establish the security of the network mechanism; bilinear pairing possesses the benefit of low both encryption and decryption volume of data, which lowers the volume of information kept in nodes. This proposal effectively created a block chain-based network authentication system for voting mechanisms. In addition, more features like ranking and ballot counting will enhance the efficiency of counting votes and support electronic voting systems.
INFLUENCE OF ALCHEMY ON MODERN CHEMISTRY
Authors: C. Khindkar Mohini
Published: June 2024

This paper is intended to understand the “Influence of Alchemy on Modern Chemistry”. Alchemy performed a vital role in the development of modern chemistry, The refining of mineral deposit and the production of gunpowder are the work led by alchemists. The aim of alchemy was to find a mythical and magical substance called ‘Philosopher’s Stone” not a literal stone but wax , liquid or powder with magical power, which on heating with a base iron and copper metals would turn into gold. The present paper clarifies that, Alchemy contributed to a huge part to Modern Chemistry with alchemist heart, They had theories about the nature of metals that made them believe they could manipulate their structure, which similar to the building blocks we known as atoms today.
ORGANIC LIGHT EMITTING DIODE, ITS MATERIALS AND APPLICATION
Authors: Kumar Yadav Sunil , Om Sharan Hari , Raghuvanshi C.S.
Published: June 2024

The choosing and content of materials utilized in the manufacture of organic light-emitting diodes (OLEDs) significantly influence the efficiency as well as additional features. This part involves a thorough examination of the classification of OLED materials and the diverse range of variants often seen. There are two primary categorizations of OLED materials, largely differentiated by their separate production methodologies: those fabricated using vacuum evaporation and those manufactured through solution- based processes. The encapsulation of polymer nanoparticles is often achieved by vacuum vaporization, while solution- based nanomaterials include the use of polymers, dendrimers, and small molecule compounds. In addition, it is worth noting that OLED materials may be categorized based upon their emission characteristics, namely as fluorescent, phosphorescent, and thermally triggered delayed fluorescent (TADF) materials. These classifications play a crucial role in determining the underlying processes of emission. Furthermore, it is feasible to classify OLED materials based on their individual functionalities inside the device. The activities included in this set of processes are hole injection, hole transport, emission, host materials inside the emissive layer, electron transport, electron injection, and charge blocking. It is important to recognize the significance of the chemical composition of the anode and cathode materials, as this section provides useful insights into their relevance. Moreover, this section delves into the impact of the chemical orientations of biological materials on the operational mechanisms of organic light- emitting diodes (OLEDs).
PHYTOCHEMICAL, ETHANOBOTANICAL USES AND PHARMACOLOGICAL VALUES OF BARLERIA CRISTATA LINN
Authors: Praful Shingade Snehal , Baliram Kakde Rajendra
Published: June 2024

Herbs have traditionally been use the main kind of medication. Medicinal plants have therapeutic properties because they contain a variety of complex chemicals with varying chemical compositions.Globally, the study of medicinalherbs has recently generated significant interest.The promising potential of medicinal herbs are extensively employed in many conventional, complementary, and alternative modalities for the treatment of human illnesses has been established by a substantial body of proof.Drugs derived from plants generally have lower adverse effects, are easier to obtain, and are well tolerated.The ability of medicinal plants to treat disease is caused by a number of phytoconstituents. Therefore, the initial screening tests are helpful in identifying bioactive principles and may facilitate the identification and creation of novel medications.One of the larger and most well-known genera of herbs and shrubs in the Acanthaceae family is Barleria.Fast-growing ornamental shrub Barleria cristata, a member of the Acanthaceae family, is frequently grown in gardening for its colorful flowers.Barleria cristata also known as Philippine violets is native to Southeast Asia and India, has a large presence in Central and South India. It is known as Kala Bansa and is an herbal remedy. It blooms as a shrub 60-100 cmtall. Leaf surfaces are darkest green in colour on the top and pastel greeninsh colour on the bottom. They are elliptic to narrowly ovate. The funnel-shaped, pink or violet flowers are around 5 cm long. The fruits are ellipsoid capsules that are roughly 1.5 cm tall. The phytochemical tests demonstrate the occurrence of steroid hormones, glycosides, alkaloids, tannins, phenolic chemicals, flavonoids, carbohydrates, proteins, amino acids. The plants contain highest amount of ascorbic acid than vitamins. The results of TLC analysis of methanolic extract point to the presence of a high level of phytoconstituents. This plant's leaf extract was analysed using GCMS. This study identified the 15 chemicals. The plant has been used ethnopharmacologically for illnesses such as tuberculosis, hepatic obstruction, diabetes, fever, snake bite, anaemia, toothache, and lungs ailments. The plant's antioxidant, hepatoprotective, anti-inflammatory, antibacterial, anti-diabetic, and anti-fungal, anticancer, antiherlipidemic, and thrombolytic properties were also studied. The objective of the aforementioned review was to provide a scholarly overview of Barleria Cristata, focusing on its ethnobotanical features, geographical range, medicinal uses, phytochemical composition, and pharmacological properties, as well as conducting a critical analysis of research gaps and identifying future research prospects pertaining to this plant species. This information may be useful for future studies aimed at enhancing human health care.
DEFECTION GAME AND INDIA’S ANTI-DEFECTION LAW – A REFLECTION
Authors: Manas Halder Sri.
Published: June 2024

In the intricate landscape of Indian politics, the phenomenon of defection has long been a subject of critical examination and debate. This abstract provides a glimpse into the forthcoming study, "Defection Game and India's Anti-defection Law – A Reflection," which delves into the complex interplay between political manoeuvring and legislative efforts to curb defection. Defections are one of the banes of the Indian Political System and defectors have decided the fate of many Governments from time to time. It toys with the democratic values enshrined in our country and betrays the faith response upon them by the electorates. Political Leaders for better pay, perks and prized posts often trick their party and switch to other parties. Even though the Anti-Defection Law has been enacted it does not yield results. This study endeavours to provide a comprehensive understanding of the multifaceted issue of defection in Indian politics. By critically reflecting on the Anti-defection Law's strengths and weaknesses, it aims to contribute to informed discourse and potential reforms in this critical area of India's democratic governance. This study seeks to critically reflect upon the dynamics of defection in India's political landscape and the efficacy of the Anti-defection Law.
FORMATIVE ASSESSMENT: DEVELOPING 21ST CENTURY SKILLS IN CONTEMPORARY EDUCATION SYSTEM
Authors: Kotra Balayogi Dr.
Published: June 2024

The skills people need to succeed in the modern world, marked by quick technological break throughs and dynamic global terrain, have undergone a paradigm shift in the 21st century and its skills which include critical thinking, communication, cooperation, creativity, digital literacy, and more, is explored in the present study along with their importance in preparing global students for success in both academic endeavours and real-world issues. One of the efforts in building competence related to the desired 21st century skills is the use of formative assessment in learning. Formative assessment as a pedagogical approach fosters personalized education, ongoing development, and pupil-centered instruction and it acts as a bridge that cultivates 21st century abilities in students, enabling them to adapt, innovate, and succeed in a constantly changing world by promoting ongoing feedback, self-evaluation, and goal planning. The transformative potential of the formative assessment fosters critical 21st century skills that ultimately empower learners to become adaptable, proactive, and socially responsible individuals in contemporary society. In contemporary educational system, the present study examines the crucial function of formative assessment in developing and improving essential 21st century abilities.
PAPER-PENCIL TO TECH-AGE: THE EVOLVING PSYCHOMETRICS
Authors: K Sibin Raj
Published: June 2024

Throughout history, the primary challenge in the human environment that influenced the evolution of intellect was not climate, weather, food scarcity, parasites, or predators. Instead, it was the constant need to navigate intricate and unpredictable social situations and interactions with fellow humans that became increasingly complex as our evolutionary lineage progressed. That need might have been the reason of beginning of psychology as a scientific discipline and psychometrics as a significant purposeful discovery to tackle the human vs. human transaction efficiently. Assessing or understanding a second person is a routine affair of our species. The social world is becoming more complex due to the emerging social media and ‘metaverses’. That is increasing the complexity of day-to-day social interaction too. Here, psychology as a mind science has lots of importance to study such phenomenon in isolation as well as in the mass point of view. This chapter is trying to pour some insights toward how psychometrics is evolving as a major discipline of applied psychology to face the present and future of information era. This chapter (a) selectively overview the past and present evolution of psychometrics, (b) discussing the challenges in psychological measurements, (c) profile of a psychometrician, and (d) the new emerging trends in psychometrics.
CONSUMER HEALTH INFORMATICS
Authors: Deori Dr. Rumi , Bordoloi Dr. Kumud , Mishra Mittul , Bhuyan Dr. Bedanta
Published: June 2024

Consumer Health Informatics (CHI) is an emerging area of study within the broader discipline of biomedical and health informatics. Consumers are increasingly turning to the internet for health-related information due to the rapid advancement of computers and information technology for health decision making and CHI has drawn the interest of more academics. CHI focuses on the analysis of consumers' information requirements, the creation of consumer-accessible information tools, and the facilitation of self-management promotion. The emergence of the concept of CHI is attributable to the patients' desire to assume responsibility for their own healthcare and to cultivate healthy habits, as well as the physicians' recognition of the patient's potential and commitment to educating them about their healthcare needs. The field of CHI is of utmost importance due to its significant contribution in providing valuable information to patients and consumers. This, in turn, facilitates the promotion of self-care, enables informed decision-making, encourages the adoption of healthy behaviours, and facilitates the exchange of information among peers.
AN INSIGHT ON RECOMBINANT DNA VACCINE: A NEW ERA FOR DEVELOPMENT
Authors: Joshi Aneri , Gajjar Devanshi
Published: June 2024

Recombinant DNA technology is a rapidly growing field with a broad spectrum of applications in therapeutic products like vaccines, antibodies, and diagnostics of various diseases and pathogens, which help improve human healthcare. Vaccination is a biological process which provides protection against various diseases and pathogens that are harmful to human health. Since the development of the first vaccination by pasture, vaccines have been used against various diseases like smallpox, influenza virus, rabies, cholera, and others. Vaccine development can be done by either traditional methods, such as the inactive pathogen vaccine, live attenuated vaccine, or by modern R-DNA technology, such as protein & subunit vaccine, nucleic acid vaccine, and nano vaccines. Advances in recombinant DNA technology have expanded scientific knowledge, with various new developments beneficial for human healthcare.
RECOMBINANT DNA TECHNOLOGY AND ITS APPLICATIONS
Authors: Kakde Rajendra B.
Published: June 2024

Recombinant DNA technology means joining together of two DNA molecules from two different species which are later on inserted into a host organism to produce new genetic combinations which have importance in science, medicine, agriculture and industry.
MULTIPLE ANTIBIOTIC RESISTANCE: CURRENT PARADIGMS AND FUTURE OUTLOOKS
Authors: Pandey Ankita , Awasthi Ashish Kumar , Kumar Jha Puneet , Kaistha Shilpa Deshpande
Published: June 2024

Multiple antibiotic resistance (MAR) in microorganisms poses a significant threat to human health and is a global public health concern. MAR refers to the ability of bacteria to withstand the effects of multiple antimicrobial agents such as antibiotics, rendering traditional treatment ineffective. The key mechanisms of MAR, include efflux pumps, target site alterations, enzymatic inactivation, and biofilm formation. The clinical and economic consequences of MAR emphasize the need for collaborative efforts to address this issue. Herein we explore promising approaches, such as metagenomics, microarrays, proteomics, artificial intelligence/ machine learning, combination therapies, novel drug development, and the use of alternative antimicrobial agents, highlighting the importance initiatives to combat MAR effectively.
OPTIMIZATION USING RSM AND PARTIAL PURIFICATION OF LIPASE FROM OIL CONTAMINATED SOIL SAMPLES
Authors: Joyruth Dr. P. , Growther Dr. Lali
Published: June 2024

Enzymes are protein with highly catalytic functions and produced by all living organisms. Commonly occurring natural enzymes are lipase, lactase, amylase and cellulase. Lipases catalyze the hydrolysis and acyl glycerol synthesis. Forty-eight strains were identified from oil contaminated soil samples. Out of forty – eight isolates fifteen organisms form clear halo zone around the colonies. Maximum activity of pH 8 was noted for Acinetobacter indicus. Acinetobacter indicus obtained maximum activity at 24hrs with 17.96U/ml. Glucose and peptone confirmed the maximum activity of enzyme. CaCl2 obtained maximum activity of lipase for the isolates. DEAE Cellulose column chromatography produced the activity of 720U/g with purification fold of 7.81 and a yield of 20.5% for Acintobacter indicus. The molecular weight of lipase produced by Acinetobacter indicus was 60KDa.
MATHEMATICAL MODEL OF CANCER CELL GROWTH AND PROLIFERATION: A COMPREHENSIVE INSIGHT
Authors: Singh Sweta , Das Salini
Published: June 2024

Mathematical modelling of cell growth pattern is absolutely necessary to determine the robustness in proliferative potency of cancer. Till date several approaches have been taken to model the proliferative pattern of cancer cells and thereby predictive analysis of tumor mass has been made possible. Such matrices not only foresee the early stages of carcinogenesis but also have declared the regulative changes of cancer cells at the advanced stages which are often influenced by extrinsic and/or intrinsic factors of the tumor microenvironment. This chapter summarizes the predominant models of cancer cell growth along with therapy predictions.
A CONTEMPORARY CLASS OF DOUBLE INTEGRAL INVOLVING GENERALIZED HYPERGEOMETRIC FUNCTIONS
Authors: Vyas Dr. Yasoverdhan , Kulkarni Vidha , Rathie Dr. Arjun Kumar
Published: June 2024

The study of double integrals plays a vital role in mathematics, particularly in the field of calculus. In recent years, there has been growing interest in exploring new techniques and approaches to evaluate double integrals using generalized hypergeometric functions. The aim of this paper is to provide the contemporary class of double integral. To achieve this, we employed the generalized hypergeometric functions established by Eslahchi and Masjed-Jamei (2015) with a very interesting integral due to Edward (1954). The results established in the paper are useful, easy to evaluate, and provide a versatile framework for solving complex mathematical problems.
CLOUD LOAD BALANCING
Authors: Singh Prabhmilan
Published: June 2024

Cloud computing has become integral to modern IT, with major companies like Google, Microsoft, IBM, and Amazon providing various cloud services to users. This paper explores the significance and importances of load balancing in cloud computing, a crucial aspect of maintaining efficient and responsive cloud services. It delves into different load-balancing algorithms and mechanisms, offering a comprehensive understanding of the subject matter through charts, graphs, and extensive research analysis. The study begins by outlining the core concepts of cloud computing, which includes Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). It emphasizes the importance of cloud service providers (CSPs). The paper then shifts its focus to load balancing, a critical component of cloud maintenance. It addresses the challenges of overloading within the cloud infrastructure and introduces Load Balancing as a Service (LBaaS) as a solution. Static load balancing algorithms like Round Robin and Weighted Round Robin are discussed in detail, highlighting their approach to distributing loads among servers. Dynamic load balancing algorithms, such as Min-Min and Max-Min, are also explored, each with its distinct advantages and limitations. Furthermore, the paper delves into additional load balancing techniques like Logical Ring Redirection, Load Buffer Range Method, Random Early Detection Method, and Page Caching. Distributed Web Server (DWS) is presented as a reliable solution for managing increasing loads, with its architecture and components outlined. In conclusion, this paper offers a comprehensive insight of load balancing in cloud servers, addressing issues of overloading and under loading servers. It discusses the rationale behind various algorithms and techniques. The study encourages further exploration of load-balancing solutions and highlights the need for algorithm complexity consideration and real-time implementation testing in future research and development efforts.
A CONTEMPORARY POLICY TO ANALYZE EMR RECORDS TO FORECAST AILMENTS
Authors: A. V Navaneeth , S. D Vidya Sagar , M. R Dileep , Avula Sashikanth Reddy , Rallapalli Sreekanth , Dhareshwar Shwetha
Published: June 2024

Construction Lifestyle-related illnesses refer to medical conditions that are linked to the habits and choices of individuals or groups. Despite the vast collection of disease-related information in the healthcare sector, there is an untapped potential to extract concealed insights that could enhance informed decision-making. This research seeks to explore and apply the K-means nearest neighbor technique to predict the likelihood of individuals developing lifestyle-related ailments. Additionally, it aims to propose and simulate an economically viable machine learning model that utilizes Electronic Medical Record (EMR) data. This model would analyze an individual's way of life to detect potential risks, which serve as the basis for devising preventive measures and diagnostic tests. These risks often stem from factors such as unhealthy eating patterns, excessive calorie consumption, sedentary behavior, and so on. By creating this simulated model, an intelligent and cost-effective solution is presented for identifying potential hereditary disorders stemming from unhealthy lifestyles. The central focus of the paper revolves predominantly around forecasting the potential occurrence of heart attacks in the future, drawing insights from past medical histories.
DESIGN AN ML MODEL FOR PREDICTING HEART DISEASE AND INTEGRATE THE MODEL
Authors: A Dr. Mariyan Richard , Lavinya Ms. Joy , Hamsavath Dr. Prasad Naik
Published: June 2024

The prognosis of heart disease is one of the most challenging problems in contemporary medicine. Nearly one person dies from heart disease every minute in the modern world. To process vast amounts of data, the healthcare sector needs data science. The study's findings show how well the model predicts heart disease and outperforms other methods while providing information on the most important risk variables. In general, this study advances the rapidly expanding field of machine learning (ML) applications in healthcare and highlights the significance of responsible model creation and use for improved patient care and outcomes. Due to the difficulty of forecasting cardiac illness, automation of the technique is essential to reduce risks and provide the patient with early warning. A properly split dataset is used to train the chosen ML model, and hyper parameter adjustment is done to enhance performance. The model's prediction accuracy is evaluated using metrics including accuracy, precision, recall, F1 score, and area under the curve. The model is used in the real world once it performs satisfactorily.
EMERGING TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE WITH THEIR FUTURE SCOPE IN BIOREMEDIATION
Authors: V Shree Yazhini.
Published: June 2024

According to a statistic from the year 2020 every day there are over 2 millions of sewage, agricultural and industrial wastes are introduced into water that is present all over the world. This causes various diseases based in water such as cholera, dysentery, diarrheal, polio, hepatitis A and typhoid. Along with that there are various issues such as poor hygiene, schistosomiasis and malnutrition. Various different technologies have been introduced for the removal of those pollutants from the water or environment. But even with those technologies we cannot receive the highest removal efficiency. Hence in the recent decades researchers have introduced various technologies and implemented them for the remediation process. One of such techniques is bioremediation that is the usage of biotic organisms for the removal of pollutants. In this chapter the emerging technologies such as nano bioremediation, electro bioremediation, Modified Ludzack- Ettinger process, microbial fuel cell and phytotechnologies have been discussed in detail with their future perspective. One of the fast growing industries that is Artificial Intelligence can also be integrated into the bioremediation treatment process. Some models such as artificial neural networks, fuzzy logic and genetic algorithms have been discussed here.
SCIENTIFIC TECHNOLOGY IN ARTIFICIAL WOMB
Authors: Himani Dr.
Published: June 2024

Pregnancy occurs when a sperm fertilizes an egg released from the ovary during ovulation. The fertilized egg then implants in the uterus. Pregnancy can be affected by various factors, including pathologies such as abnormal vaginal discharge, congenital deformities of the uterus and vagina, vaginal agenesis, and carcinoma cervix during pregnancy. As the lungs of a fetus are still in the process of formation, artificial womb technology imitates the natural conditions of a human womb. This reduces the need for the developing child to breathe. This technology also provides health benefits to pregnant women by offering a safe alternative to high-risk pregnancies and reducing the chances of premature birth. The term for gestation that occurs outside the body is ectogestation. An artificial uterus, often referred to as an "exo-womb," would need to remove waste and provide a growing fetus with nutrition and oxygen. In addition to this, an artificial uterus system could include an interface that takes over the functions of the placenta, an amniotic tank that acts as the amniotic sac, and an umbilical cord. EctoLife has opened the world's first artificial womb facility, where customers can choose from a range of baby features. Transparent "growth pods" in the lab allow EctoLife to produce up to 30,000 offspring every year. The concept behind EctoLife is to offer parents the ability to create customized children using artificial wombs.
APPLICATION OF BIOFUELS IN BIOTECHNOLOGY
Authors: Jangra Soniya , Ahlawat Dr. Anju
Published: June 2024

The Biotechnology industry is continuously evolving to enhance product purity, yield, and throughput, all while optimizing efficiency and resource utilization. In order to combat the problems caused by climate change and the depletion of fossil fuels, the necessity for sustainable energy sources is being acknowledged by people all over the world. The discipline of biotechnology has made tremendous advancements in the development of alternative energy sources, particularly biofuels, in recent years. This chapter investigates biofuels' future prospects in biotechnology, concentrating on developments in production, engineering, and use. It will investigate cutting-edge technology, novel microbes, and unique processes that have the potential to revolutionise the biofuel business. Later also go through possible environmental, economic, and societal effects of these cutting-edge biofuel developments.
HEALTH INFORMATICS APPLICATION IN HEALTHCARE AND HOSPITALS
Authors: Kumar Dr. Pankaj
Published: June 2024

The healthcare sector as a whole will produce significantly more data than other important businesses in the forthcoming years. As a result of this information explosion, which is motivated by the desire to improve Patient’s health, health informatics emerged as a multidisciplinary professional discipline that examines and explores the efficient applications of medical data, information, and knowledge for scientific investigation, problem-solving, and decision-making. Due to the advancement of medical technology and the requirement to protect sensitive data, health informatics will be a need of the hour. This chapter covers the application of health informatics in the healthcare sector and its significance, uses, challenges in implementation and possible future trends. This chapter also underlined the need of future research in this field and practical strategies for maximizing health informatics benefits and safeguarding patient privacy.
MRI ARTIFACTS
Authors: Janghu Yogita , Mishra Amit Kumar , Devi Anupam , Yadav Sanjay , Deswal Mohit , Jain Ashita
Published: June 2024

Artifacts in MR imaging result from complex interaction of contemporary imager subsystems. It appears in MRI for a variety of reasons – potential sources of artifacts include patient –related, finite sampling, K- Space Encoding, Fourier Transformation, pulse sequences and hardware issues. Numerous corrective measures have been developed to overcome the effects of artifacts and improve the image diagnostic quality or pathologic errors. Knowledge of different types of artifacts & their origin to eliminate their negative influence on MR images. The various methods to mitigate the effects of artifacts- pulse sequences, improved scanning procedures, advanced post-processing algorithms. When encountering an unfamiliar artifact, its useful to systematically examine general features of the artifact to try & understand its category. Imaging equipment should be regularly tested and monitored to ensure its stability and smooth functioning. Newly installed or upgraded MR systems should be tested by physicist/ qualified engineer before use.
RECENT TRENDS IN COMPUTED TOMOGRAPHY
Authors: Tyagi Kajal , Singh Akanksha
Published: June 2024

For assessing a diffusion of medical ailments, CT is a critical individual imaging device. Extreme multi-detector CT, iterative reconstruction techniques, binary-strength CT, cone-ray CT, portable CT, and segment-discrepancy CT are only some of the sizeable breakthroughs in CT generation which have these days had or are predicted to have a giant healing effect. By eliminating the necessity for invasive neuroradiological exams, which are much more expensive per case than CT, it avoids the requirement for hospitalization and has also decreased the average length of pre-operative stay. With radiation boluses recorded at the skin ranging from less than 1 rem to as high as 9 rem for a single member, plain CT is known as a non-invasive method. Although poly-tomography is being phased out in favor of high-resolution CT, it is still superior to CT in revealing some really minute anatomical traits. CT is an essential technique for analyzing a variety of clinical disorders on an individual basis. These days, a number of vast trends in CT generation, which include as extreme multi-detector CT, iterative reconstruction strategies, binary-energy CT, cone-ray CT, moveable CT, and section-discrepancy CT, have had or are anticipated to have a sizeable corrective effect. This essay discusses, exemplifies, and discusses the clinical applications of these strategies. Future technologies that restoration flaws in these modalities also are investigated.
SUSTAINABILITY STRATEGIES FOR HEALTHCARE ORGANIZATIONS: A COMPREHENSIVE APPROACH TO ENVIRONMENTAL RESPONSIBILITY
Authors: Bhardwaj Tamana , Patel Akhilesh , Tantray Junaid
Published: June 2024

With the ongoing expansion of the global population and the rising recognition of the environmental consequences resulting from human activities, healthcare organisations are acknowledging the need to fulfil their environmental obligations. This article offers a complete framework for healthcare organisations to develop sustainability plans, with the objective of facilitating the implementation of environmentally conscious Practices. The first section of the Chapter underscores the significance of incorporating sustainability principles into healthcare management, emphasising the potential advantages it may provide to both the environment and public health. The following section delineates primary domains in which healthcare organisations may concentrate their efforts, including the adoption of environmentally friendly Practices inside healthcare facilities, sustainable procurement strategies, effective waste management and recycling systems, the implementation of sustainable healthcare Practices, fostering research and innovation, and actively engaging with the community. This study thoroughly examines each topic, providing a comprehensive analysis of best Practices, case studies, and practical techniques for implementation. Furthermore, it underscores the need of multidisciplinary cooperation, involvement of stakeholders, and evaluation of performance in order to guarantee the effective execution of sustainability initiatives. By incorporating these techniques into their operational framework, healthcare organisations have the potential to decrease their environmental effect, address the consequences of climate change, enhance public health outcomes, and foster a more sustainable trajectory for the future. The chapter finishes by emphasising the significance of ongoing development and the exchange of information in cultivating a culture of environmental stewardship within the healthcare industry. The all-encompassing nature of this approach is a tremendous asset for healthcare executives, managers, and practitioners who are interested in adopting sustainable Practices and improving their organization's commitment to environmental stewardship.
SEXUAL AND REPRODUCTIVE HEALTH RIGHTS OF WOMEN
Authors: Sasi K. , Prasanna K.
Published: June 2024

A woman’s reproductive system is a delicate and intricate system in the body. It is vital to take steps to protect it from infections and injury, and prevent problems long-term health problems. Reproductive rights signify women’s right to choose whether or not to reproduce, including the right to decide whether to carry or terminate an unwanted pregnancy and the right to choose their preferred method of family planning and contraception. The main goal of these rights is to improve women’s health from menarche through menopause. Rights to reproductive and sexual health comprise the right to life, liberty and the security of the person, the right to health care and information, and the right to non-discrimination in the allocation of resources to health services and in their availability and accessibility. The basis for these rights can be found in various articles of the Convention on the Elimination of All Forms of Discrimination against Women. The promotion of these rights should be fundamental basis for government and community-based policies and programs. Infringement of the above rights in varied forms, including maternal mortality, lack of procedures for legal abortion, inadequate allocation of resources for family planning, coercive population programs, spousal consent to sterilization, and occupational discrimination of pregnant women is happening in the present scenario. This paper highlights the reproductive rights and sexual health as crucial part of women’s health
TRENDS IN TRAVEL NURSING
Authors: Sharma Mr. Ravikant , Chouhan Ms. Vishvangi
Published: June 2024

Travel nurse staffing agencies have seen a dramatic rise in the need for qualified staff, this is due to a widespread shortage of nurses and a lack of healthcare professionals to take on a critical role in this area. Travel nursing is a unique subset of the nursing industry that allows healthcare professionals to work temporarily in different locations. In modern times, travel nursing has rapidly expanded in America in response to a widespread nursing shortage. A travel nurse will always be needed and a staffing agency will always be a reliable way to achieve a positive lifestyle and financial company with appropriate benefits suitable for the future. Travel nurse we will continue to rely on nurses and dying workers, focus on mental health nursing excellence, health services in hospitals will increase transition to value-oriented care &the rise of tele-health. One exciting way the field of nursing is evolving to benefit travel nurses is the expansion of remote assignments through telehealth. Travel nursing work will increasingly be able to offer tasks in a healthcare environment where you will perform your duties remotely via video, which is convenient and accessible to both the patient and the nurses.
RADIOPHARMACEUTICAL SCIENCE
Authors: Dubey Rajni , Dangi Surendra , Sakre Satyabhavna
Published: June 2024

Radiopharmaceuticals are radioactive materials or medications that are utilized in medicinal or diagnostic procedures. It is an interdisciplinary field that includes biology, physics, and chemistry. It is the science of adding an appropriate radionuclide to a drug or other biologically active substance such that it may replicate or track certain physiological or biochemical processes that occur in vivo. The resultant radiopharmaceuticals are applied to patient treatment or diagnostic imaging. Patients may be administered radiopharmaceuticals as diagnostic agents to look for any anomalies related to biochemistry, molecular biology, physiology, or anatomy. Internal administration of therapeutic radiopharmaceuticals can be used to treat certain abnormal cells or organs by means of a selective impact. The best-known example for therapeutic radiopharmaceutical is iodide131 for thyroid ablation in among patients with hyperthyroid. This chapter focuses mainly on basic fundamentals of radiopharmaceutical chemistry, preparation, environmental, pharmaceutical, diagnostic, therapeutic, and research applications.
ARTIFICIAL INTELLIGENCE IN NURSING PRACTICE
Authors: Sebastian Dr. Justin V
Published: June 2024

This chapter delves into the application of AI in nursing by providing a thorough analysis of its background, classifications, and operation. It explores the potential uses, advantages, disadvantages, and ethical concerns of artificial intelligence (AI) in healthcare. Case studies examine the current uses of artificial intelligence (AI) in nursing, which encompass patient monitoring, administration, and education. There is an analysis of how AI has altered nursing practice, with a focus on how nurses' responsibilities have evolved, the ways in which AI may improve patient outcomes, and the difficulties that have arisen as a result. Critically examined are the ethical and legal aspects of artificial intelligence (AI) in healthcare, including privacy, decision-making, and regulatory concerns. Predicting revolutionary trends, continuing research, and the critical role of nurses in influencing this evolution, the chapter explores the future of artificial intelligence in nursing. The chapter ends by outlining strategies for nurses to succeed in an AI-driven healthcare future, emphasising the significance of digital literacy and AI education in an industry that is rapidly adopting AI.
ADVANTAGES OF NURSING CLINIC
Authors: Chandran Ms. Lekshmi
Published: June 2024

Nursing clinic has many advantages as described in the following chapter such as regular health service, 24/7 care, daily care, help with housework, regular nutritional plan, benefits for the family, financial benefits, promote socialization, safety and security, self care. Nursing clinic have many benefits for the community to improve the physical, mental ,social well being for 24/7 and helping people how are suffering from dementia, long term diseases, learning disabilities etc.
NURSE POLITICIAN
Authors: Sharma Mr. Ravikant , Astha Ms.
Published: June 2024

Nurse as a politician is considered as important role in nursing profession because it help the nurse to intersect other profession, help to identify the problem faced by doctors and students in clinical and teaching profession. Policy advocacy, health promotion, representation, bridge building, public health advocacy. Nurse as a politician also faced challenges during their process towards positive changes while intersecting medical and political issues.
METHOD DEVELOPMENT AND VALIDATION OF CILNIDIPINE IN TABLET DOSAGE FORM BY USING ULTRA VIOLET SPECTROPHOTOMETRY
Authors: Gopal N. Madana , Reddy L. Siva Sanker , Rao R. Nageswara
Published: June 2024

A simple, quick, and accurate UV Spectroscopic method was developed to quantify celecoxib in API and tablet formulations. Celecoxib was used to treat rheumatoid arthritis and osteoarthritis. The proposed procedure was developed using acetonitrile and distilled water as the solvents in a 50:50 volume-to-volume ratio, and it was optimized using a Shimadzu UV-1800 ENG240V at a maximum wavelength of 240 nm with an absorbance of 0.558. The sensitivity, robustness, accuracy, and precision of the improved technique Degradation studies were also conducted and determined to be within the constraints. The regression coefficient was 0.996, and the linearity ranged from 2.5 to 12.5 µg/ml. LOD and LOQ values were 0.16 µg/ml and 0.052 µg/ml, respectively. According to ICH Q2R1, a straightforward, exact, and reliable approach was created.
ARTIFICIAL INTELLIGENCE IN HEALTHCARE: TRANSFORMING NURSING PRACTICE AND PATIENT OUTCOMES
Authors: Sharma Pooja , Kaur Simranjeet , Dhiman Rajni
Published: June 2024

Artificial intelligence (AI) has become a transformative force in the healthcare industry, revolutionizing care practices and improving patient outcomes. In this article, we explore the various applications of AI in healthcare, with a particular focus on nursing. We explore how AI-powered technologies such as chatbots, imaging for diagnostic purposes, screening for diabetic retinopathy, AI-assisted drug discovery, and clinical monitoring have changed the landscape of patient care. We also highlight how healthcare professionals are empowered by AI to provide valuable insights and tools for high-quality care. The article explores the myriad benefits of integrating AI into nursing practice, including improved accuracy in diagnosis, enhanced patient monitoring, and streamlined medication management. However, we also recognize the challenges of implementing AI, such as privacy concerns and the need for proper training and collaboration among healthcare professionals. To facilitate the successful integration of AI, we outline the key steps for implementing AI in healthcare, emphasizing the importance of a patient-centered approach. While AI offers tremendous opportunities, we also acknowledge its limitations, including potential biases in algorithms and the importance of human oversight. Nonetheless, the potential of AI to transform nursing practice and patient outcomes is undeniable, and responsible use of its capabilities can pave the way for a more efficient, effective, and compassionate healthcare system. This article provides a comprehensive overview of AI's impact on care and healthcare, and provides insights for healthcare professionals, policymakers, and stakeholders seeking to leverage AI's capabilities to improve patient care and health outcomes. By harnessing the potential of AI in care, we can usher in an era of personalized, data-driven, and patient-centered healthcare that benefits patients and healthcare providers alike.