Volume 12 | Issue 1 |

 Abstract

Ritu implies the season, characterized by different attributes convey modified impacts on the body along with the climate. Ayurveda has depicted various guidelines and regimens (Charya), in regards to eat less and conduct to adjust occasional varieties effectively without changing the body homeostasis. Ayurveda stressed to save the wellbeing and forestall the infections by following proper eating regimen and way of life routine instead of fix of the sicknesses. The essential hypothesis continued in the Ayurveda is Swasthyashya Swasthya Rakshanam, and that means to keep up with the wellbeing of the sound, as opposed to Aturashya Vikara Prashamanancha, means to fix the sicknesses of the unhealthy. For the support of the wellbeing and anticipation of the sicknesses the Dinacharya (everyday routine), Ritucharya (occasional routine), achara rasayan (Appropriate conduct), rasayan treatment (rejuvenative methodology) and so on have been referenced in the works of art of Ayurveda. Stricter consistence of Ritucharya can forestall the improvement of sicknesses as well as its compounding.

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Ritu, Ayurveda, homeostasis, Dinacharya, Ritucharya, rasayan.

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This article deals with an overview of psychiatric disorders during the menopause transition and the homeopathic approach. Homeopathy is a holistic science that focuses on the overall well-being of an individual. Individualized remedy is the mainstay of Homoeopathic treatment, thus improving the quality of life in patients. In Homeopathy, taking the case includes the symptoms, possible causes in the individual, any concomitant symptoms, and considering the individual predisposition, mental picture, and physical symptoms.

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Menopausal transition, depression, mood swings, insomnia, irritability, panic attacks, and Homoeopathic Approach.

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Entrepreneurs play a significant role in any economy. Women entrepreneurship development is a crucial part of human resource development. In Comparison to other countries, the development of women entrepreneurship is very low in India, especially in rural areas. However, middle class women are not too eager to alter their role due to fear of social criticism. The progress is more evident amidst upper class families in urban areas. Participation and their prominence have been commendable in the country's economic growth and development. Many initiatives have been started by United Nations to promote and motivate women entrepreneurship in developing and under developed countries, such as efforts in Sub-Saharan African countries. Looking at the above opportunities, India has also supported many women entrepreneurs by providing loans and advances, helping them to establish their business, making them self- sufficient by providing vocational skills, and constructing many jobs for other women in the respective areas. This paper focuses on current status of women entrepreneurs in India. Data has been collected from number of articles, books, periodicals and websites. The present study has been an exertion to generate awareness and to understand meaning, underlying principle for diversification.

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Keywords- Women Entrepreneurship, key to Success, challenges, steps taken by the Indian government.

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Abstract Most of the women in working are in unorganized sector. The unorganised sector consists of labour force of casual, household and self employed workers without adequate legal protection and support. But this sector offers wide employment opportunities to women, especially in the era of globalisation. The employees skilled with advanced technology and modern education have enough opportunities in this competitive milieu. But in reality most of the women working in this sector are poorly educated, from rural lower income families with lack of enough skills to meet the requirements of modern working environment. The involvement of trade union in this sector is also not up to the level of expectation. Redefinition of roles of trade unions are the necessity of the present-day world for protection and promotion of labour interest.

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Women Labourers, Trade Unions, Unorganised Sector, Globalisation

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 Abstract

panchayato me nirvachit mahilaye : chunotiya avm smadhan

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panchayato me nirvachit mahilaye : chunotiya avm smadhan

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??? ??? ???? ????????? ?? ??? ??? ?????????? ?????? ???? ?? ?????? ?????? ????? ?? ???????? ?? ??????? ???? ?? ???????? ????????? ?? ????? ??? ????????? ?????? ?? ????? ???? ?? ???????? ???????? ?? ?????? ???????? ???? ?? ???? ????? ?? ??? ?? ??????? ???? ??? ??????? ? ???? ?? ?????? ?? ????????? ?? ???? ????? ?? ???? ?? ?? ???????? ????? ??? ???????? ?? ???????? ???????? ??? ??????? ?? ?? ??????? ?? ???????? ???? ???? ?????, ????????? ?????? ?? ???????? ????? ?? ????? ??? ?? ?????? ???? ????????? ?? ?????? ???? ???? ?? ?? ????? ????????? ?????????? ?? ??? ???????? ??????? ?? ??????? ??????? ? ???????? ??? ??? ??? ?? ????? ?? ?????????? ?????????? ????????? ??? ???????? ?????? ?? ????? ?? ?? ?????? ?? ???? ??? ???? ?????? ?? ??????????? ?????? ???? ?? ???? ???? ???? ??? ????? ????? ?? ?? ?????? ???????? ??? ??? ????? ??? ??????? ?? ???????? ???????? ?? ????? ?? ????? ?????? ????? ?????? ????? 14 ??????? ?? ????????? ??? ?? ?? ??? ????? ???? ???? ??? ''???? ????? ?? ?? ???? ?? ???????? ????? ???? ??? ???? ?????????? ?? ?? ?? ??..... ????? ?????, ????? ???? ??? ?? ??? ??????? ?? ??????? ?? ?? ?? ???? ???? ???? ?? ???? ????? ??..... ????? ??? ??? ???????? ?? ???? ?? ?????? ?? ?????????? ?????''

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???? ?????: ?????? ??????? ????????, ????? ???????, ?????????, ?????? ????????, ?????? ?????, ???????? ?? ??????????

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Herbal plants have long been used to enhance human health; they have grown increasingly popular across the world as medications, alternative and complementary treatments, meals, vitamins, cosmetics, and, unexpectedly, as healthcare products. The complexity of herbs and extracts, together with their distribution to different markets and compliance with different regulations, has led to an increased demand for analytical methods that can accurately identify and standardize these products while also detecting adulterants and pollutants. Herbal samples raise various kinds of complications for customs laboratories, including worries regarding quality, safety, and even illegality. adopting an appropriate analytical technique between the wide range various options available, such as physical, chemical, biological, microscopic, or macroscopic technologies. There is more discussion of HPLC, GC, photometric techniques, UV, IR, MS, and NMR.

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Herbal drugs, analysis of herbal drug, Thin layer chromatography, HPLC, gas chromatography, UV visible spectroscopy, IR spectroscopy

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Sentiment analysis and emotion recognition play a pivotal role in understanding human communication and interaction, with applications spanning from customer feedback analysis to human-computer interaction. In recent years, deep learning techniques have demonstrated remarkable success in these domains, particularly when incorporating speech features and transcriptions. This review delves into the state-of-the-art systems that employ deep learning for sentiment analysis and emotion recognition, focusing on those leveraging both speech features and transcriptions as complementary modalities. The review begins by providing an overview of the theoretical foundations of sentiment analysis and emotion recognition and the evolution of deep learning in these fields. It highlights the significance of multimodal approaches that fuse speech features and transcriptions to improve accuracy and robustness. The paper discusses various deep learning architectures, including recurrent neural networks (RNNs), convolutional neural networks (CNNs), and more recent models like transformer-based architectures, and their utilization in sentiment analysis and emotion recognition tasks. Special attention is given to pre-trained models and transfer learning techniques that have proven to be highly effective in reducing the need for large labeled datasets. The importance of benchmark datasets and evaluation metrics for assessing the performance of sentiment analysis and emotion recognition models is addressed. The paper concludes with an exploration of potential future directions, including enhanced multimodal fusion techniques, cross-modal sentiment analysis, and the integration of these models into real-world applications. By reviewing and synthesizing the current state of deep learning-based sentiment analysis and emotion recognition systems using speech features and transcriptions, this paper aims to provide insights into the progress made, challenges faced, and the promising avenues for future research in these critical fields of natural language processing and affective computing.

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Feature selection, Speech emotion recognition, deep learning, deep neural network, deep Boltzmann machine, recurrent neural network, deep belief network, convolutional neural network

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Nyctanthes arbor-tristis (NAT) also known as Parijata or Harsinghar is an Indian traditional plant of great importance. It has been used in Ayurveda, Siddha and Unani system of medicine for treatment of various infectious and non-infectious diseases. Each part of the plant has some medicinal value and is used for various pharmacological actions such as anti-arthritic, antispasmodic, antibacterial, anti-inflammatory, immunostimulant, antidiabetic, hepatoprotective, antioxidant, antimicrobial, anthelminthic, antileishmanial, anti-pyretic, anti-allergic, antiviral and CNS depressant. The phytochemical analysis of plant revealed presence of flavonoids, tannins, saponins, glycosides, alkaloids, steroids and phenolic compounds which are responsible for these pharmacological actions of the plant. The chemical drugs being used for treating various ailments are costly and moreover have various side effects. These drugs can be replaced by the herbal plants which have no such side effects and are cost efficient, and one such alternative can be NAT. This paper reviews recent researches, importance, applications, methods of propagation and future prospects of NAT. Particular emphasis has been given towards the applications and methods of propagation of the plant.

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nyctanthes arbour, tristis, Indian traditional plant, Morphological Characters, medicinal value, side effect, etc

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Df: Degree of freedom, NS : Not significant, S: Significant

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