Volume 11 | Issue 8 |

 Abstract

Shikshan me Shokshik prodhogiki ka mahtva

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Shikshan me Shokshik prodhogiki ka mahtva

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The COVID-19 pandemic has raised many ethical challenges, but key among these has been the possibility that healthcare systems might need to ration scarce critical care resources. Rationing policies for pandemics differ by institution, health system, and applicable law. Most seem to agree that a patient's ability to benefit from treatment and to survive is first-order consideration. However, there is debate about what clinical measures should be used to make that determination and other factors that might be ethically appropriate to consider. The covid-19 pandemic has concentrated bioethics attention on the "lifeboat ethics" of rationing and fair allocation of scarce medical resources, such as testing, intensive care unit beds, and ventilators. This focus drives ethics resources away from persistent and systemic problems-in particular, the structural injustices that give rise to health disparities affecting disadvantaged communities of color. Bioethics, long allied with academic medicine and highly attentive to individual decision-making, has largely neglected its responsibility to address these problematic "upstream" issues. It is time to broaden our teaching, research, and practice to match the breadth of these significant societal inequalities and unmet health needs.

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Bioethics, pandemics, justice, Care, and Health care

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This study aims to explore the complex relationship between politics and caste in India, examining the historical context, socio-cultural factors, and the contemporary impact of caste-based politics on the Indian political landscape. The study will delve into the intricate interplay between caste identities, and political mobilization studies electoral outcomes, shedding light on how caste influences the power dynamics and governance in India. By analyzing case studies, empirical data, and scholarly perspectives, this study seeks to provide a comprehensive understanding of the phenomenon of caste politics and its implications for India's democracy, social cohesion, and inclusive development.

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Political dynamics, Caste politics, Caste system, Political mobilization, Electoral politics, Voting patterns, Affirmative action,

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The lungs are organs in the human respiratory system that function as an exchange of oxygen with carbon dioxide in the blood. The decline in air quality and COVID-19 in the world, including in India, has an impact on increasing the risk of lung disease. Lung disease that is often encountered is wet lung. Wet lung is a form of acute respiratory infection namely Lungs Diseases that attacks the lungs. The lungs are made up of tiny sacs called alveoli, which fill with water when a healthy person breathes. When a person has Lungs Diseases, the alveoli fill with pus and fluid, which makes breathing painful and limits oxygen intake. Early diagnosis of Lungs Diseases has a major impact on the life of a patient. Diagnosis of Lungs Diseases is generally done clinically (physical symptoms by a doctor). In addition, Lungs Diseases can also be diagnosed through chest radiographs, CT scans, and MRIs. Chest radiograph examination is one of the most frequently used medical imaging examinations because it is more affordable. Reading chest radiographs has drawbacks, namely it is difficult to detect disease, so it takes a long time before medical personnel or doctors diagnose the disease suffered by the patient. One method to overcome this problem is to classify chest radiograph images into certain classes using machine learning. The method used to process the data is multilayer perceptron (MLP). MLP has disadvantages for several types of data, especially for images, but MLP is not well adapted so that it loses spatial information contained in images. Therefore using multiple Convolutional Neural Network Architectures (AlexNet and ResNet) within which the importance of being able to identify the better architecture to obtain the results (diagnose Lungs Diseases) has been essential for the research performed, according to the antecedents of the authors proposed in the methodology, the best architecture analyzed is that of ResNet for having presented high performance in past research. Consequently, The joint classification (Resnet and Alexnet) has proven to be an innovative idea at the time of show a result of a predictive model, as it uses several classifications in turn to determine an end result. Which helped ensure the veracity of the output, which is very important to be able to determine if there is pneumonia in early stage, being this difficult to detect. Designing a Predictive Model for Early Detection of Lungs Diseases using Deep Learning and allowed this research to contribute providing a tool that serves as support for the diagnosis of this disease and reduce the high death rate that exists nationally and internationally.

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Lungs Diseases Detection, Deep Learning, Artificial Neural Networks, Convolutional Neural Networks.

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Roxithromycin, UV-Visible Spectrophotometer, RP-HPLC, Validation parameter

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Conjunctivitis, commonly known as pink eye, is a highly contagious eye condition that affects a large number of individuals worldwide. Timely and accurate detection of conjunctivitis, along with personalized drug recommendation, is crucial for effective treatment. In this study, we propose a novel system that combines convolutional neural networks (CNN) with advanced data analytics techniques to address this problem. The first component of our system focuses on conjunctivitis detection. We employ a CNN architecture to analyze digital images of the eye and classify them as either normal or indicative of conjunctivitis. The CNN model is trained on a large dataset of labeled eye images, enabling it to learn complex patterns and features associated with the disease. Through extensive experimentation and evaluation, we demonstrate the effectiveness of our CNN-based approach in accurately identifying conjunctivitis cases. The second component of our system aims to provide personalized drug recommendations based on the detected conjunctivitis condition. Leveraging the conjunctivitis diagnosis obtained from the CNN model, we employ data analytics techniques to analyze a comprehensive database of medications and their associated efficacy. By considering factors such as patient demographics, medical history, and drug interactions, our system generates personalized drug recommendations that optimize treatment outcomes and minimize adverse effects. To evaluate the performance of our system, we conducted experiments using real-world datasets comprising diverse eye images and patient profiles. The results demonstrate high accuracy in conjunctivitis detection and the generation of personalized drug recommendations. Our system shows great potential for assisting healthcare professionals in making informed decisions regarding conjunctivitis treatment, improving patient outcomes, and minimizing the spread of infection. The proposed Conjunctivitis Eye Detection and Personalized Drug Recommendation System using CNN combines state-of-the-art image analysis techniques with data analytics to provide accurate conjunctivitis detection and personalized drug recommendations. The system has the potential to enhance the efficiency and efficacy of conjunctivitis treatment, benefiting both healthcare professionals and patients.

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Conjunctivitis, Pink eye,Eye detection, Personalized drug recommendation, CNN

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Rookshana is one among the Shadvidha Upakramas and Charaka has compassed all the therapeutics or treatment principles under six categories i.e., Langhana, Bramhana, Rookshana, Snehana, Swedana and Stambhana. Whereas Vaghhata has divided under two categories ie. Santarpana and Apatarpana. Under the Santapana he has included Snehana and Stambhana and given the synonym as Brumhana. Under Apatarpana called as Langhans he has included Rookshana and Swedana. the Physician should know timely application of these Upakramas to achieve aim to keep health of Healthy and cure the Diseases, study is planned to view in detail about Rookshana Karma.

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Rookshana, Shadvidhopakrama, Langhana, Apatarpana, Upakrama.

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Excision, wound, healing, Pithecellobium, extract

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The fundamental objective of diverse therapeutic modalities such as Ayurveda, Yoga, psychiatry, and medicine is to facilitate individuals in attaining a state of positivity, joy, and well-being, with disease mitigation being a secondary aim. In the existing framework, Yoga emerges as a holistic discipline that empowers the body and mind to effectively manage stress, reshaping neural chemistry and neurotransmitter configurations for enhanced longevity and overall contentment. Moreover, Yoga serves as a potent alternative medicine, aligning seamlessly with the realms of stress management and mental health.

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Yoga, stress management, alternative medicine, psychiatry

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Marketing has traditionally placed a high priority on branding. In a market that is extremely competitive, brand is a potent differentiation. It gives the business the ability to block actions made by rivals. A powerful brand evokes in customers feelings of reliability, comfort, trust, and confidence. customers associate brands with much more than simply a tag for identification and recognition. Brands exist in the minds of customers. They serve as the cornerstone of customer relationships and strengthen the tie of faith and trust between consumers and marketers. The brand's promise is constant with dependably high quality, dependable services, and all-around psychological fulfilment. A key component of marketing has always been branding. In a highly competitive market, brand is a potent differentiator. It gives the business the ability to counteract competitive advances. The customer associates a strong brand with reliability, comfort, trust, and confidence. Consumers associate brands with much more than just being a means of identification and recognition. By forging a tie of faith and trust between customers and marketers, they serve as the cornerstone of the customer relationship. The brand's promise is constant in terms of dependable quality, service, and general psychological fulfillment. The research of brand choice for mobile phones with reference to management students is the main topic of the current article. The main goal of the study is to determine which mobile phone brands Medchal management students prefer. Additionally, it lists the key characteristics that students search for in a smartphone. The current research is descriptive in nature. By conducting a survey that asks management students about their preferences for several mobile phones, brand preference analysis is carried out.

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brand, preferences, mobile phones, competitive market.

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