Volume 10 | Issue 8

 Abstract

Hypertension is chronic medical condition in which Blood pressure is increase therefore oral microspheres containing antihypertensive drugs is prepared by double emulsion solvent evaporation method by employing ethyl cellulose, Carbopol, and HPMC as a polymers. The prepared formulation was suitability characterized by FTIR, percent yield, swelling index, drug content, optical microscopy and In vitro drug release, studied reveted that particle spherical in shape, percentage yield and In vitro drug release shown promising results as a safest and most effective. Oral microspheres were prepared and suitably characterized for simultaneously deliver of two drugs. This double emulsion solvent evaporation method used for better therapeutic outcome in the hypertension disease.

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Oral microspheres of antihypertensive drug and evaluation parameter

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Burnout syndrome, Physiotherapists, Emotional Exhaustion, Depersonalization, Personal Accomplishment

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Role of Teachers, Strengthening, Value Education, Personality Development.

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The paper will critically analyse the significance of Atma Nirbhar Bharat Abhiyan in the empowerment of women in Varanasi. Atma Nirbhar Bharat Abhiyaan has the vision to make India self-reliant in the economic field, i.e., manufacturing activities, employment sector and labour workforce. The economic self-reliance of women is essential for the development of the nation. Women have played a vital role in bringing dynamic changes in the society and development of the Indian nation. Many schemes have been launched under AtmaNirbhar Bharat Abhiyaan to improve women's socio, economic, cultural, and political status in Varanasi. It has led to the protection of human rights and the political empowerment of women in the Varanasi constituency. Women have been effectively participating in the political process in Varanasi. Dynamic changes have taken place in the voting behaviour of women in Varanasi. Women have played a predominant role in the political development, political culture, political socialisation and political modernisation of Varanasi. This research paper analyses the impact of AtmaNirbhar Bharat Abhiyaan in the Varanasi Parliamentary constituency of Prime Minister Narendra Modi, with special reference to women's empowerment. Many schemes related to Atma Nirbhar Bharat, such as 'Ek Stall Ek Mahila Ke Naam', Samarth Training Abhiyan, Kabad Se Jugad, etc., have played a vital role in the empowerment of women in the Varanasi constituency. It has led to dynamic changes in the livelihood and empowerment of women in Varanasi. In this context, it will elucidate the trends and latest dynamics of Atma Nirbhar Bharat Abhiyaan in women's Empowerment in Varanasi.

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Atma Nirbhar Bharat, women empowerment, self-reliance, Varanasi

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Keywords: IFRS, Ind AS, IGAAP, Real Estate. Impact.

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Constant current power supply is an important area of study and research for researchers, as it covers a wide application which includes industrial, commercial, residential and public lighting area. Like any other technology, technology of Constant current power supply is also upgrading continuously and have both pros and cons, like earlier low power factor power supplies were used, but now high power factor power supplies are more preferred. Ripple in load current is a significant issue in HPF type single stage single switch constant current power supplies. Researchers have done a lot of study and applied various approaches to reduce this low frequency ripple, as ripple causes serious health issues and application problem. In this paper, a survey is done on various approaches to reduce the ripple effect in Single Stage Single Switch High Power Factor Constant Current Switch Mode Power Supply.

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Flickering, Constant Current, Ripple cancellation, High Power Factor.

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Yogic principles have been recommended to be adapted slightly so as to suit the children's nature. Such a semi-yogic syllabus, as propounded by the author, consists of yoga-like rhythmic exercises and hygienic cleansing processes. The study has been divided the children into three categories as their ages and academic levels whereby yogic concepts and practices have been recommended in graded fashion.

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Yoga, Rhythmic Exercises, Hygienic, Cleansing Process.

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Virtual Identity, social-media, reliability

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Adolescents, Mental Health, Working Mother, Non-working Mother

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Medications, classification,adverse effects, Mechanism of action

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Stock trading techniques play the essential aspect of functioning as a key factor when it comes to investment. In this case Paper, It proposes a way of learning a stock trading strategy that maximizes return on investment using Deep Reintorcement.Researchers developed ways to buy and sell using deep reinforcement learning agents using ensemble trading strategies for actor-critical-based models on these 5 Algorithms: Proximal Policy Optimization (PPO), Actor-Critic Gain (A2C), Deep Deterministic Policy Gradient (DDPG), Twin-Delayed Deep Deterministic Policy Gradient (TD3), Soft Actor-Critic(SAC). Ensemble strategy inherits and integrates the excellent features of these five Algorithms, thereby robustly adapting to the exceptional market situation.To avoid immense memory usage in training networks with an area of continuous movement, For processing massive amounts of data, researchers employ the load-on-demand approach, 30 Dow Jones Stocks with enough liquidity are used to test the algorithms.The overall performance of the trading agency was evaluated with significant enhancement of the Reinforcement algorithm and compared to both the Dow Jones trading stock index and the traditional minimum deviation portfolio allocation procedure. The proposed deep ensemble strategy outperforms baselines and five algorithms in trade-weighted returns by the Sharpe ratio.

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Deep reinforcement learning, Markov Decision Process, Automated stock trading, ensemble strategy,actor-critic framework,Proximal Policy Optimization (PPO),Actor-Critic Gain (A2C),Deep Deterministic Policy Gradient (DDPG), Twin-Delayed Deep Deterministic Policy Gradient (TD3),Soft Actor-Critic(SAC).

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These studies are subject to a number of constraint, which cause development projects in Afghanistan to be delayed. One of the key obstacle is the project's implementation delay, as well as the late completion of work or activity compared to the schedule. The flaws and failures of the projects, as well as the delay in project development, are dividing the populace and government and are detrimental to the standing and dignity of public authorities. There are 83 reasons for delays, according to a wide spectrum of literary studies. Questions were received from 60 reputable construction parties, including Afghan clients, contractors, and consultancies. Questionnaires According to the research, security, corruption, the contractor's lack of technical expertise, and delays in financial accounts, poor site management, and inadequate contractor oversight are the main causes of building delays in Afghanistan. Additionally, this study examines how construction delays affect projects in Afghanistan and offers some suggestions.

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Delay, Construction, Afghanistan, Construction delay

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IoT, Home automated control ,Arduino home control remotely

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Garbhini, Sutika, Fetus, Nutrition, Care, Health, Woman

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Abstract. Fake news is defined as a misleading news stories that comes from the non-reputable sources. The fake news on social media and various other media is wide spreading and is a matter of serious concern due to its ability to cause a lot of social and national damage with destructive impacts. As a result of this a lot of research is already focused on detecting it. This paper makes research and implementation of fake news detection system to create a model of a product with supervised machine learning algorithm. Basically in this paper will employ a Naive Bayes classifier in order to create a model to classify an article into fake or real based on its words and phrases., that can classify fake news as true or false, by using tools like a count vectorizer (using word tallies) or a (Term Frequency Inverse Document Frequency) tfidf matrix It is very possible that two articles that are similar in their word count will be completely different in their meaning.

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Fake News Detection System

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Dravya is one among the six categories accepted by Vaisesika and Ayurvedic philosophies. The main purpose of the Ayurveda i.e. Swasthasya swasthy raksana, Aturasya vikara prasamana, which is dependent on Ahara dravya and Ausadha dravyas. All the vegetable kingdom is developed on and from the earth and it is the base of food grain etc. which are essential for the development and maintenance of human being. Prithvi Mahabhuta has an important role in the formation, giving a particular shape and growth of the body. Earth, minerals and vegetable kingdom etc. are the objective forms of the Prithvi Mahabhuta, plays a most important role in the medical science. Hence an attempt has been made in this paper to arrive at a Critical Review on Prithvi Mahabhuta.

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Prithvi, Mahabhuta, Dravya, Ayurveda

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Depression, Boys and Girls, Students of Urban Area and Rural Area.

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This paper provides a prototype of a text mining and machine learning-based stroke classification system. With the use of properly trained machine learning algorithms, machine learning may be portrayed as a significant tracker in fields like surveillance, medicine, and data management. This work uses data mining techniques to provide an overview of the monitoring of information from both a semantic and a syntactic standpoint. The suggestion is to extract patients' symptoms from case sheets and use the information to train the system. The case sheets of 507 patients from the Sugam Multispecialty Hospital in Kumbakonam, Tamil Nadu, India, were gathered during the data collection phase. The case sheets were then mined using maximum entropy and tagging approaches, and the suggested stemmer extracts the common and distinctive set of properties to categorise the strokes. Following that, a variety of machine learning methods, including artificial neural networks, support vector machines, boosting and bagging, and random forests, were fed the processed data. With a classification accuracy of 95% and a standard deviation of 14.69, artificial neural networks trained using a stochastic gradient descent approach surpassed the other algorithms.

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artificial neural networks, support vector machines, boosting and bagging, and random forests, were fed the processed data.

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This paper presents a model to group stroke that joins message mining instruments and AI calculations. AI can be depicted as a huge tracker in regions like observation, medication, information the executives with the guide of reasonably prepared AI calculations. Information mining procedures applied in this work give a general survey about the following of data as for semantic as well as syntactic points of view. The proposed thought is to mine patients' side effects from the case sheets and train the framework with the obtained information. In the information assortment stage, the case sheets of 507 patients were gathered from Sugam Multispecialty Hospital, Kumbakonam, Tamil Nadu, India. Then, the case sheets were mined utilizing labeling and most extreme entropy approaches, and the proposed stemmer removes the normal and extraordinary arrangement of characteristics to group the strokes. Then, the handled information were taken care of into different AI calculations, for example, fake brain organizations, support vector machine, helping and packing and irregular woodlands. Among these calculations, counterfeit brain networks prepared with a stochastic inclination drop calculation outflanked different calculations with a higher order precision of 95% and a more modest standard deviation of 14.69.

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