Volume 11 | Issue 7 |

 Abstract

Ayurveda is not only a pathy or treatment protocol to treat disease with herbs or natural ways but it is actually the knowledge of life and health teaching us how to stay healthy and how to live life in a good way. Considering its eternity to be effective since ages for human life, some of its concepts are different and extraordinary in its own way. Vega vidharana is one such concept which is preached as one of the commonest factors in causation of both health and disease. Due to time gap and drastic changes in modern lifestyle, most of us have been unknown to its giant importance. Even some of those who knows about this concept does not take it seriously. In this article we got to know about Adharniya vegas : The types and how they affect our physical and mental health.

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 Keywords

Ayurveda, Vega, Vega vidharana, Adharniya Vega.

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Skin cancer is the most common type of cancer in the globe and can be fatal if not diagnosed and treated in time. Early detection is the key for timely diagnosis and successful outcomes. Artificial Intelligence (AI) has emerged as a promising tool for early detection of skin cancer. AI algorithms can provide support in improve diagnosis accuracy through automated image analysis techniques such as pattern recognition and machine learning. AI systems also enable non-experts to assess the risk of skin cancer through image classification and segmentation. AI solutions can also automate manual processes like analyzing biopsied images, leading to quicker diagnosis and treatments with improved accuracy. By combining AI with conventional tools, providers can offer a cost-effective and efficient solution for skin cancer screening and diagnosis in healthcare settings. In this way, AI can help to reduce the burden of skin cancer on both lives and healthcare resources

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skin cancer, early detection, machine learning, artificial, intelligence, pattern recognition

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Abstract The eminent historian R.S. Sharma maintained that a decentralised agrarian system, with landholding elites exerting political and economic control over their areas, best described feudalism in India. He emphasised the significance of caste-based relationships and the way feudal rulers took advantage of the people. Another well-known historian, Burton Stein, found the concept of 'feudalism' insufficient to describe the sociopolitical processes of mediaeval India. He surmised that the Indian social structure did not cleanly fit the European feudal model and offered substitute notions like 'segmentary state' and 'stateless societies' to describe the convoluted political system of the time. Indian history expert Hermann Kulke proposed an integrated processual approach to analysing feudalism in India. Kulke emphasised the need to comprehend the historical factors that contributed to the development and evolution of feudal ties in various geographic areas. His research on the development of feudalism and its interactions with various forms of power in mediaeval Indian culture brought to light the interdependence of economic, social, and political variables. The points made in the feudalism discussion by Sharma, Stein, and Kulke are critically analysed in this study. It evaluates the advantages and disadvantages of each strategy and pinpoints points of convergence and divergence. By combining these ideas, the study aims to further our knowledge of feudalism in mediaeval India and illuminate the larger socio-political setting of the era.

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Feudalism, Debate, Segementary State, Integrated Processual Model, Medieval

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The oral drug delivery system is mostly preferred due it convenient for administration, safe, improved compliance and economical route. Fast dissolving tablets are highly accepted fast growing drug delivery system. The one of the significant limitation of conventional dosage forms i.e tablet, capsule is Dysphagia which is overcome by using fast dissolving tablet formulation. Fast dissolving tablet are the dosage form which dissolve or disintegrate in saliva within few sec with or without need of water. Fast dissolving tablet gives fast onset of action, good bioavailability and avoid first pass metabolism. Fast dissolving tablet mainly used in diseases like stroke, Parkinson's, neurological disorders, schizophrenic patient, hand tremor and also who have fear of chocking. FDTs are used especially in pediatric, gediatric, bedridden, and for the patient who are busy and travelling and may not access to water. This review includes introduction, features, properties, criteria, need, limitations, characteristics, various ingredients, challenges, evaluation parameters, and technologies.

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Fast disintegrating tablet, Super disintegrants, Oral drug delivery system.

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The federal Food and Drug Cosmetic Act defines cosmetics by their intended use as articles intended to be rubbed, poured, sprinkled or sprayed on, introduced into , or otherwise applied to the human body for cleansing, beautifying , promoting attractiveness, or altering the appearance. Sunscreen agents are used for external use only. The use of sunscreen as photo protecting agents for UV protection. The sunscreen formulation is which when applied topically to protect the skin from harmful UV radiation. The present research work was to formulation and evaluation of Creme Solaire by using Poly Verdants. The herbal sunscreen was prepared by using extracts of Beetroot, Pomegranate and Banana leaf. The prepared formulation was evaluated for various parameters like pH, SPF, Viscosity, Spreadaility and Removal. The different formulation were prepared and evaluated among which shows best result.

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Key words: Herbal Sunscreen, Skin, Beetroot, Pomegranate, Banana leaf, SPF.

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Methicillin-resistant Staphylococcus aureus, mupirocin resistance, mupirocin

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Feature selection is the basic part in the area of research. The outcomes and goal achievement of the research are mainly affected by the features chosen for the research in any field. Till date it has been observed that mostly used acoustic features for speech recognition are that Mel-Frequency Cepstral Coefficient and its derivatives. Diminishing the number of features unveils to further vigorous estimates of typical constraints and runs up the classification process more swiftly. It is very conclusive for concurrent speaker recognition while running such classification task on small source devices. Feature extraction can be implied as a phase to lessen the dimensionality of the contributed data, a lessening which obviously primes to some information malfunction. Mostly, during the speech recognition process, the speech signals are separated by using frames and then from each frame feature mining is done. In this paper, we are going to focus on some commonly used feature selection algorithms and feature dimension reduction techniques by comparing the effectiveness on the model functioning.

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: Speech features, LFCC, spectrogram, formant, SFS, RFE, CFS, LDA, PCA.

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Digital grameen samuday

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Digital grameen samuday

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It's obvious that unorganised employees can't meet their most fundamental necessities. Many individuals who work in the shadow economy are, without a question, scraping by. The wage gap between men and women in the workforce persists. Several laws have been passed to protect workers, albeit they are often more strictly enforced in formalized sectors of the economy than in their less formalized counterparts. In light of the complexity of the issues surrounding informal labor and the variety of potential solutions, the author has focused on a select few for this article. There are an estimated 447 million individuals working in the unorganised sector of India's economy, which employs the remaining 90% of the country's labor. The formal economy's decline and inability to keep up with rising job demands has made the informal sector more important.

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Unorganised Workers, Unorganised Sector, Employment opportunities.

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The purpose of this research paper is to explore the major impact of artificial intelligence (AI) on the practices of human resources (HR) and talent management are examined. The article gives an introduction to AI technologies and their applications within HR, emphasizing their potential to improve strategic decision-making, streamline recruiting and selection procedures, and increase employee engagement and performance. The obstacles and ethical issues surrounding the application of AI in HR are also covered. In conclusion, this study shows how the HR AI revolution can lead to more productive, data-driven, and inclusive workplaces.

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Artificial Intelligence, Human Resources, Talent Management, Employee Engagement, Productivity

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