Volume 12 | Issue 3 |

 Abstract

Abstract: Governments' desire to safeguard public health led to the creation of the relatively new field of regulatory affairs (RA), also known as government affairs. RA regulates the efficacy and safety of goods like pharmaceuticals, medical devices, pesticides, veterinary medicines, cosmetics, agrochemicals, and complementary medicines. The registration of pharmaceutical items is a subject of pharmaceutical regulatory affairs. Different registration criteria for pharmaceutical products are covered by pharmaceutical drug regulatory affairs. As a result of the desire of people all over the world to protect the public health, a new profession called pharmacy was created. This profession covers not only the field of pharmacy, but also veterinary medicine, medical devices, insecticides, pesticides, agrochemicals, cosmetics, and complementary medicine.

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 Keywords

Keywords : Regulatory affairs, Pharmaceutical products, Medicines, Agrochemicals.

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n the digital age, where information is just a click away, one might wonder about the relevance of libraries, Given that information can be accessed instantly in the digital age, one may question the continued value of libraries--those ancient establishments that have long served as repositories of knowledge. But libraries change along with societies. One of the creative modifications that has surfaced is the idea of mobile libraries. These mobile book libraries bypass physical and social boundaries to provide literature and education directly to communities in just a click. In a time of swift technological progress and widespread internet access, mobile libraries could seem like a thing of the past. Still, these itinerant libraries of information remain indispensable for advancing reading, encouraging civic participation, and healing rifts in global communities. This in-depth essay explores the many facets of mobile libraries, including their history, relevance, influence, operating models, difficulties, innovations, and potential futures. In this article, we delve into the world of mobile libraries, exploring their significance, evolution, impact, and future prospects.

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Mobile library, innovation, challenges, librarian

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The system aims to streamline attendance tracking in diverse settings, ensuring accuracy and efficiency. Through the integration of deep learning algorithms, facial features are extracted and matched with a pre-existing database, enabling seamless identification. The proposed system offers a user-friendly interface, real-time monitoring, and reliable attendance records, addressing the limitations of traditional methods. The study highlights the potential for widespread adoption in educational institutions and corporate environments, contributing to enhanced time management and resource optimization. This system leverages advanced facial recognition algorithms to identify and authenticate individuals, eliminating the need for manual attendance marking. The abstract focuses on the integration of cutting-edge technology to enhance accuracy and efficiency in attendance management, ultimately contributing to a more automated and secure educational or organizational environment.

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Face Recognition , Face Detection , Image Processing , Automated Attendance , Python , Computer Vision , Real-Time Processing .

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The outbreak of the COVID 19 crisis has given rise to online classes that have changed the way of learning. EDUTEACH E-learning platform has been carefully designed to enhance the learning and teaching process to meet different learning styles and needs. It uses python anaconda scripts to provide a learning environment that supports personal development and learning success with an easy-to-use user interface. It provides unparalleled flexibility in training programs through prioritization, efficiency and customer reach. With good understanding, users can find, store, export, save, use and visualize information to benefit a dynamic business. EDUTEACH offers comprehensive courses and easy-to-use templates so students can easily search and enroll. By using rich online resources and classroom libraries, students can step outside the traditional classroom and embark on an independent learning journey. It also offers an alternative to traditional teaching, making quality education free and accessible to everyone.

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Learning Platform, sequential convolutional neural network, deep learning.

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In today's fast-paced and competitive world, life has become increasingly demanding and uncertain. People's lifestyles, personal and family needs, expectations, and financial planning are influenced by a variety of factors. As social beings, it is crucial for individuals to ensure their own safety and that of their families. While many consider life insurance solely in the context of death, its importance extends beyond that. Even if you lead a healthy life and anticipate a long one, there will come a point - retirement - where you will no longer be working actively. During this phase, your regular income is likely to diminish. A comprehensive life insurance policy can help address these concerns. It is imperative for individuals and families to effectively manage present and future challenges and risks. With human progress, it becomes essential to be prepared for and adept at handling both natural and man-made disasters. As living standards improve, maintaining physical and financial security becomes paramount. People seek to mitigate the potential risks to life and property. Life is invaluable, and a life insurance policy helps bridge the financial gap that may arise from the sudden loss of the primary earner in a family. Therefore, having adequate life insurance coverage is crucial for individuals and their families. The concept of insurance emerged as a means to ensure financial security by addressing this gap. Insurance has evolved from merely compensating for loss of life or property to encompassing provisions for the future, education of children, and compensation for losses due to theft, fraud, robbery, natural disasters, and other emergencies. Today, insurance is not just a financial product but a fundamental necessity in modern life and commerce.

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Life Insurance, IRDA, LIC, Growth of Insurance Sector, Government Initiative

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Abstract: The death rate due to heart disease is one of the major global causes of increased mortality. Heart diseases are also called heart and blood vessel diseases. One of the main obstacles in clinical data analysis is to detect heart disease early. This underscores the need for effective early detection and prevention strategies these statistics continue to make cardiovascular disease (CVD) as one of the world's leading killer diseases such that its earlier detection and prevention interventions are warranted. The paper examines the use machine learning models in predicting heart disease by using support vector machines (SVM). In order to develop a model, a comprehensive dataset has been used which captures different attributes of patients including demographic information, lifestyle behaviours, and past medical history. SVMs are particularly suitable for large-scale datasets characterized by high dimensions; this approach allows identifying intricate patterns within sample sets without making any assumptions about how they may relate together or why such relationships exist between items found within your data array. Moreover, this study will critically assess and contrast ML algorithms with regards their sensitivity, specificity as well as overall accuracy. The results indicate that each algorithm exhibits distinct strengths in predicting heart disease, thereby providing valuable information to clinicians and healthcare professionals in applying strategies personalized risk assessment strategy. This research contributes to ongoing efforts to leverage ML for proactive and effective cardiovascular health management.

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Keywords: Heart Disease, Cardiovascular disease(CVD), Support Vector Machines, Machine learning, Blood Pressure.

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Labour law is the most vital legislation as it regulates the industrial relations in every legal system across the globe. India's labour laws are decades old and are said to suffer from rigidities and loopholes. Therefore, the reforms were the need of the hour for the changing scenarios in the industrial structure. Taking note of the same, Parliament recently has passed the Code on Wages 2019, which has repealed four central legislations: Minimum Wages Act 1948, Payment of Wages Act 1936, Equal Remuneration Act 1976 and Payment of Bonus Act 1965. The whole idea of codifying the laws was to bring reform and uniformity. Although the Code was passed with an objective to simplify the earlier laws and reduce complexities in various aspects, but it has reproduced the flaws that were existing in repealed legislations. The primary focus of the present paper is to discuss the significance of the Code on Wages 2019 and its impact on labour and industrial relations. The authors also aim to highlight the reforms brought by the Code, the issues and challenges in the Code and suggest some recommendations.

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Labour law, Minimum wages, Equal remuneration, Bonus, Code on Wages

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Heart of darkness is a novella by polish British novelist Joseph Conrad which is between a novel and a short story in length and scope it has the genre as symbolism, colonial literature, adventure tale, frame story, almost a romance in its insistence on heroism and the supernatural and its preference for the symbolic over the realistic. Marlow,Kurtz, General Manager,Brick maker,Chief accountant, pilgrims,Cannibals,Russian trader,Helmsman,Kurtz's African mistress, Kurtz's intended,Aunt,the men aboard the Nellie are the characters involved in this novel. Marlow services as the protagonist of this novel. This novel shows economic freedom, social advancement,an escape from a life of being an employee. It seems that the darkness is infact internalised that it is part of some fundamental if ironic unsoundness. Kurtz dies uttering his last words -the hurror! Kurtz's wife asks what her fiance last words were, but Marlow can not bring himself to shatter illusions with the truth,instead , he tells her that Kurtz's last word was her name. This novel suggests that power inevitably corrupts. In this novel Marlow acts as a guide for the reader. The general manager, the Cannibals the pilgrims are accompanied Marlow on his journey up the river from a central station. The chief accountants' most notable character is his spotless white clothing

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Symbolism, supernatural, protagonist, internalised, unsoundness,wornout, inevitably,barbarian,conspiratorial

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Abstract In the life of a female, the transition from childhood to adulthood occurs during the period of adolescence, which, according to the WHO, extends from 10 to 19 years of age. It starts with the onset of menarche, a milestone in a woman's life, and denotes the beginning of her reproductive capacity as a woman. During this phase, she observes a spurt of growth and development, due to which significant changes occur in her body. Adolescence is a social concept. The adolescent period is a very difficult time for young people. Adolescence, the second decade of life, is a period of rapid growth and development when young people acquire new capacities and are faced with many new situations that create not only opportunities for progress but also a risk to health and well-being. It is the time when growth is accelerated, major physical changes take place, and the differences between boys and girls are accentuated. The specific objectives of the study were to study the socio-economic profile of the respondents, assess the menstrual knowledge of adolescent girls, and examine the attitude and practice of menstrual hygiene among adolescent girls. The present investigation was carried out in the Tirupati urban area of the Chittoor district of Andhra Pradesh. The sampling unit for the study was adolescent girls in the age group of 13 to 15 years. A total of 50 samples were selected for the study from Seven Hills High School. A simple random sampling procedure was followed in the selection of the respondents.

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Keywords: - Knowledge, Attitude, Menstrual Hygiene

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Human eyes can develop a variety of abnormalities as a result of age, injury, and illnesses including diabetes. The main causes of blindness in the globe are diabetic retinopathy, cataracts, macular degeneration, and glaucoma. Early detection and diagnosis of various eye conditions is essential for prompt treatment and stop eyesight loss. This approach can be aided by the diagnosis of many eye diseases through the analysis of medical photographs. Using deep learning, a number of eye disorders may be detected. These include acquiring images, extracting features, classifying or detecting diseases, and extracting regions of interest. In this paper, we suggested a model to identify eye illnesses as uveitis, glaucoma, crossed eyes, bulging eyes, and cataracts using deep learning methods, ResNet and VGG16. We used to get a 92% accuracy rate with ResNet50 and 79% accuracy with the VGG16 model . We can improve accuracy and detection rate while saving doctors' time by automating the detection procedure. The suggested methodology can help with early detection and efficient treatment of eye problems by being included into the healthcare system.

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 Keywords

CNN(Convolutional neural network),Eye disease prediction, Deep Learning

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