Volume 11 | Issue 7 |

 Abstract

The world is becoming more and more interested in the possibilities of Ayurveda because it is considered the first branch of life science and discusses how to avoid and treat lifestyle illnesses. Ayurveda is a fantastic alternative for treating lifestyle diseases because of its holistic approach, which treats the patient as a whole and means interventions are focused on total physical, psychological, and spiritual well-being. Purusartha Chatushtaya (Dharma, Artha, Kama, and Moksha), according to ancient Indian Rishi-Munis, is the ultimate goal of existence.The only way to achieve this Purusartha Chatushtaya is to live a healthy, long life. Everyone must adhere to the norms, guidelines, and conducts specified in Ayurveda In order to achieve this. According to research, a positive outlook on life is associated with outward manifestations of health. There are several ways to promote or preserve excellent emotional health, some of which include lower blood pressure, a lower risk of heart disease, and a healthy weight. Transcendental meditation (TM) is one of the techniques for relieving stress and for relaxing.

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 Keywords

Ayurveda, Sadhaka Pitta, Purusartha chatushtaya, Transcendental meditation (TM )

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Conducting clinical studies, consequently, calls for units of abilities - theoretical and methodological - had to function withinside the theoretical and empirical ranges respectively. Methodological abilities ("know-how") are incredibly standard, invariant throughout disciplines, and without problems received thru doctoral programs. However, theoretical abilities ("know-what") is notably tougher to grasp, calls for years of commentary and reflection, and are tacit abilities that can not be "taught" however alternatively found out aleven though experience. All of the best scientists withinside the records of mankind, which includes Galileo, Newton, Einstein, Neils Bohr, Adam Smith, Charles Darwin, and Herbert Simon, had been grasp theoreticians, and they may be remembered for the theories they postulated that converted the path of technological know-how. Methodological abilities are had to be an normal researcher, however theoretical abilities are had to be an fantastic researcher.

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 Keywords

Science, scientific knowledge, Research, Methods

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Sentiment analysis used machine learning to remove the significant data for subjective data analysis by positive, negative or neutral feelings. Different sentiment classification techniques are discussed for performing the opinion mining. However, they failed to enhance the accuracy level and time complexity. To overcome this a novel method called as Lasso Regressive Percentage Similarity based Extreme Learning Network Method (LRPS-ELM) is introduced to perform main objective of efficient sentiment classification with better accuracy and minimum time consumption. Extreme Learning Classification comprises different layers for categorizing the given reviews through performing preprocessing, feature extraction and classification. The number of reviews is initially collected from input dataset as an input. Then, the input reviews are sent to hidden layer 1. In that layer, the review preprocessing is performed through stop words removal and stem words elimination. Then, the pre-processed review is sent to the second hidden layer. In that layer, Lasso Regression is carried out for performing efficient feature extraction from preprocessed reviews. Later, the extracted features are sent to the third hidden layer for classification. In that layer, Percentage Similarity Function is carried out by identifying the user opinion. Finally, accurate sentiment classification is carried out with higher accuracy. Simulation setting is provided with various metrics such as, prediction accuracy, error rate and prediction time with respect to number of reviews. In the proposed LRPS-ELM method results are verified to achieve better accuracy and lesser time complexity when compared to conventional methods.

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 Keywords

Opinion mining, Extreme Learning Classification, Lasso Regression, Percentage Similarity Function, Sentiment Classification

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Election refer to a process of democratic participation in which all the people express their opinion about personalities and issues by making on a ballot paper. Election expresses democratic class struggle through voting. Major differences in the political allegiances of different age groups, classes, education, religious or ethnic groups have been reported by voting survey. Voting for right or left depends upon a person's life experiences. We try to analyses the degree to which voting decision of one generation is affected by preceding generation. This study focus on inter- generational voting behaviour rather than individual.

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Voting Behaviour, Inter-generational Pattern, Election

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The word "guidance' originated back in the 1530s, and is defined as the process of directing conduct. Career guidance can be defined as a comprehensive, developmental program designed to assist individuals in making and implementing informed educational and occupational choices (US Department of Education, 2014). It's a guidance given to individuals to help them acquire the knowledge, information. Skills, and experience necessary to identify career options, and narrow them down to make one career decision. 'Literally guidance is as old as man, all through the ages human beings have for one reason considered to have known how to render such a service'. Vocational guidance in school also helps parents to have a better perspective about children to choose a better way for their career and paved the way for an employment in locality. One of the objectives of vocational guidance is to assist students' development and to execute career plans which may help them in achieving their Career's Goal. The purposes of the study are to find out the extent to which vocational guidance provide adequate career choice among secondary school students and to find out the extent to which vocational guidance can reduce the level of unemployment among secondary school students through using random sampling method. Data was collected in the form of self-developed questionnaire. Administration of questionnaire was done through Google form. Researcher collected data from 20 schools from south, east, west and north districts of Sikkim with 911 students. The study found that the career guidance counselling should be conducted at early age for learners to develop positive self-concept.

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guidance, career decision, career's goal, positive self-concept.

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In most societies, there are strong norms and pressures for them to find a partner and have children. Therefore, a generation of males born without an equally large number of women means that many males cannot adhere to these social norms. It may also affect their long-term economic prospect. Gender differences within the workplace are an important topic of discussion in todays society. While many cultures and countries are striving for gender equality, there are still differences that exist in the workplace.Gender differences can be seen in the different roles that men and women take on, the types of jobs they choose, their career paths, and their salaries. Men often take on leadership roles and are more likely to work in STEM-related fields. Women, on the other hand, often take on roles in the social sciences, healthcare, and education. Additionally, women are disproportionately represented in lower-paying jobs and tend to earn less than men for comparable positions.

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Introduction, Gender Differences, Strategies, Barriers and Solutions

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This article examines the challenges faced by India in safeguarding its maritime security along its extensive coastline, with a focus on recent incidents that underscore the complexity of the security landscape. It discusses the attack on Indian Navy vessel INS Shivalik, the hijacking of merchant vessel MV Coral Express, a drug trafficking incident in the Arabian Sea, a fishing vessel collision, and the foiling of a terrorist infiltration plot. The article emphasizes the importance of comprehensive strategies, robust surveillance systems, and international cooperation to address piracy, drug trafficking, and terrorism threats. The Indian government's efforts, including the establishment of the National Maritime Domain Awareness Grid, intensified patrolling, and collaboration with regional and international partners, are acknowledged. The role of maritime institutes in augmenting maritime security through specialized education, training, and research is highlighted. By cultivating a skilled workforce, conducting valuable research, and raising awareness, these institutes enhance India's capacity to tackle emerging threats and safeguard its coastal regions and maritime interests.

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 Keywords

India, maritime security, coastline, INS Shivalik, MV Coral Express, piracy, drug trafficking, terrorism, surveillance, international cooperation, National Maritime Domain Awareness Grid, maritime institutes, education, training, research, coastal regions.

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Sericulture is the process of cultivating silkworms and extracting silk from them. The caterpillars of the domestic silk moth (also called 'Bombyx mori') are the most commonly used silkworm species in sericulture. Approximately 80% of silk fiber is made up of fibroin, which is concentrated at the core. This core is surrounded by a layer of sericin (which makes up the remaining 20% of silk).The presence of pigments (such as xanthophyll) in the sericin layer of the fiber imparts colour to the silk. Finally, the silk filaments are woven together to form a thread. These threads are often implied together to form a yarn . The silk industry of Assam also witnessed a serious downfall during the lockdown.COVID-19 Lockdown has put strict restrictions by completely shutting all shops, institutes, organizations and vehicular movement except emergency services. The paper aims to study the impact of sericulture on the socio-economic conditions in Sualkuchi along with the impact of Covid-19 on the production of Muga Silkworm in Sualkuchi.

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Silkworm, Sericulture, Cultivation

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Creative Commons Attribution 4.0 and The Open Definition

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This study examines investor sentiment and market response in the health care industry, focusing on a case study of Global Health's initial public offering (IPO). The health care sector is known for its dynamic nature, and IPOs in this industry often attract significant attention from investors. Understanding investor sentiment during such events is crucial for gauging market expectations and potential implications for the company and the broader industry. The research analyses the investor response to Global Health's IPO by examining stock market trends, trading volumes, and price movements before and after the offering. Additionally, sentiment analysis is conducted using social media data and financial news articles to gauge public perception and investor sentiment leading up to and following the IPO. The findings reveal the overall sentiment of investors and how it influenced market behaviour during the IPO. By understanding investor sentiment and market response, this study provides insights into the health care industry's dynamics and the factors that drive investor interest and confidence in health care companies' IPOs. The study's results can be valuable for investors, industry analysts, and policymakers seeking to better comprehend the health care sector's investment landscape and market expectations during IPOs.

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 Keywords

Investor Sentiment, Market Response, Health Care Industry, IPO, Global Health, Stock Market

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India is one of the largest flower producing countries in the world. According to the estimates of the national horticulture board, in 2021-2022 the production is 341.63 million tonnes across the country and according to the statistics, floral waste is one of India's biggest pollution, accounting for nearly a third of all solid waste in the country. Floral waste degradation is an extremely slow process compare to degradation of kitchen waste, thus no suitable modes for disposal of this significant organic solid waste. In nature microorganisms do not live isolated, they co-exist with microorganisms establishing relationship that makes the highly complex organic compounds into simpler forms. The present study was taken to develop efficient microbial consortium to degrade the flower waste. Soil samples were collected from different places in which the flower waste were dumped. The isolation and screening of microbes that are capable of degrading the flower waste is performed with the help of flower extract media. A flower-based media was used to develop a microbial consortium for degrading flower waste instead of conventional microbial media. The different enzymatic test was performed to find out the enzymes produced by the organisms to degrade the flower waste. One chamber was created with inoculation of the microbial consortium along with flower waste and another chamber with flower waste without the microbes. Degradation was checked at different time intervals and it showed that the microbial consortium helped in degrading a large amount of flower waste faster.

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India is one of the largest flower producing countries in the world. According to the estimates of the national horticulture board, in 2021-2022 the production is 341.63 million tonnes across the country and according to the statistics, floral waste is one of India's biggest pollution, accounting for nearly a third of all solid waste in the country. Floral waste degradation is an extremely slow process compare to degradation of kitchen waste, thus no suitable modes for disposal of this sign

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