Volume 10 | Issue 8

 Abstract

Even though the photovoltaic (PV) industry is expanding quickly, fossil fuel power plants still provide the majority of India's energy needs. The fact that PV is non-dispatchable, or dependent only on sunny days, is one of the main causes of this. Because of this, utilities must maintain a dependable grid infrastructure to meet demand at periods when PV is not available, such as in the evening when the sun has set yet power demand is at its highest. Due to this, electrical infrastructure is frequently underused, wasting precious resources at the same time that fossil fuel power plants continue to harm the environment. The amount of PV that can be linked to the grid is constrained by its non-dispatchable nature grid. In order to overcome this constraint, PV systems can be upgraded with energy storage, or deferrable loads can be moved from periods of high electricity demand to those when the sun is shining. Batteries can be charged during the day when the sun is shining and discharged at night when there is a strong demand for electricity. Instead of importing energy from the grid or exporting extra PV production to the grid, energy storage and load shifting enable greater loads to be met locally. This action is referred to as self-consumption. v The self-consumption rates in a PV self-consumption system with and without the usage of battery-based energy storage are compared in this study. Additionally, it contrasts a baseline load profile without load shifting with four distinct load shifting load profiles.

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Solar,Pv,Grid,Autoselection.

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Tribals are among the most deprived and oppressed sections of India. Half of the adivasi people do not have land. Poverty, deprivation and now the reduction of government expenditure on basic medical health facilities is reflected the absolutely poor health condition of adivasi women and children. Their fundamental human rights are violated in every step of life. Tribals are backward and poor, living in naturally isolated regional inhabitant. Tribals in remote areas are still devoid of common infrastructure facilities of road and communication, health and education and safe drinking water and sanitation, which do not allow them to absorb technological and financial help provided by government. Scheduled tribes are indications of primitive traits, distinctive culture, geographical isolation, shyness of contact with the community at large, and backwardness. The tribal population of the country is 10.43 core, constituting 8.61% of the total population. The paper tries to understand the different aspects of Indian tribal life, like distribution of tribes in India, history of tribes, etc. The paper highlighted the major issues liketribal laws, issues and challenges in India.

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Scheduled Tribes Deprived Poverty, Health, Human Rights.

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In today's world, there are so many patients with Diabetes having varying insulin levels and blood glucose levels in the human body. So, there is a requirement to constantly monitor the blood glucose level and improve the patient's condition with an adjusted insulin dose. Before each meal, they must take a dose of insulin. Doctors must calculate insulin dosages for each patient based on previous dose data and regular sugar levels. Our study uses a Machine Learning approach to develop the model, which uses an RNN (LSTM) and ANN algorithm to predict a patient's insulin chart. The algorithm was trained using the patient's 36-month chart, and the extended series of following insulin predictions are based on that data. The predictive model is used in this investigation.

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Machine Learning, LSTM, ANN, RNN, Diabetes

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In this paper, we introduce the new concept namely fermatean neutrosophic hypersoft set by the extension of fermatean neutrosophic set. We derived the basic operations on fermatean neutrosophic hypersoft set. Also we introduce the fermatean neutrosophic hypersoft topological spaces and their properties and theorems are analyzed

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fermatean neutrosophic set, neutrosophic hypersoft, fermatean neutrosophic hypersoft, topological spaces

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In the 14th century, Mahasiddha Thangtong Gyalpo (1361-1485) for the sake of raising fund for the construction of bridge, innovated a new form of opera now popularly known as Ache Lhamo. Most favourite traditional play and the public entertainment, Lhamo opera held the very unique position in the Tibetan folk art that is loved by the Tibetan monks and the lay community today.Out of eight plays of Ache Lhamo play, the narratives of Gyasa Balsa will be highlighted here.

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Tibetan folk dance, Tibetan folk art, Lhamo opera, Ache Lhamo, Thangtong Gyalpo

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Sustainable; HR-MS; NMR; HPLC; FTIR; DSC

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Background: Medicinal plants play important roles to treat various ailments. Erythrina variegata is one of the folklore plants frequently used for wound treatments. Nevertheless, pharmacological investigations have not been performed to substantiate activity of the plant extract in wound healing. Hence, this study provides Pharmacological evaluation of the wound healing activity of leaves of Erythrina variegata on experimental animals. Materials And Methods: The leaves extraction was carried out using 80% ethanol. The leaves extract was prepared in 5% (w/w) and 10% (w/w) extract ointments. An acute dermal toxicity study of the extract was conducted in female mice by observing the signs of toxicity. Then 5% and 10% (w/w) ointments of the extract were applied topically to investigate their wound healing activity using excision and incision wound models in Swiss albino mice. Parameters such as wound contraction, Period of epithelialisation, and tensile strength were determined. Results: In acute dermal toxicity test the application of 10% (w/w) ointment formulation the site of application no signs of dermal toxicity were observed in mice. Both 5% and 10% (w/w) ointments significantly reduced period of epithelialization and increased wound contraction rate and tensile strength. Conclusion: The results of this study showed that both 5% w/w and 10% w/w of 80% ethanolic leaves extract of E. variegata possesses wound healing activities.

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Erythrina variegata, Wound healing activity, Excision wound model, Incision wound model.

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Abstract - This paper deals with Sudha Murty's Mahashweta and Disney's Cinderella (1950) movie with special focus on the theme of marriage. This research includes a comparison between the characters of Anupama and Cinderella. The research also examines the reality of marriage in Mahashweta and the fantasy of marriage in Cinderella (1950). Fairy tales often play an accomplice in implanting misleading notions about marriage and 'happily ever after' in the minds of young readers by portraying unrealistic standards when it comes to relationships and marriage. Sudha Murty's Mahashweta showcases the scenario after marriage while Cinderella (1950) ends with the quote "and they lived happily ever after".

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Cinderella, Disney, Sudha Murty, Mahashweta, Anupama, marriage

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The massive number of sensors deployed in the Internet of Things (IoT) produce gigantic amounts of data for facilitating a wide range of applications. Deep Learning (DL) would undoubtedly play a role in generating valuable inferences from this massive volume of data and hence will assist in creating smarter IoT. Spamming is the use of messaging or electronic messaging system that send huge amount of data. Spam often fills the internet with multiple copies of a message and are sent to different recipients repeatedly without their request and urges to open them. Spam is type of virus, it is sent for commercial purposes. It can be sent in massive volume by botnets, networks of infected computers. This paper proposed efficient deep learning technique of spam detection for IOT devices application. The simulation is performed using the Python Spyder Software.

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Spam. IOT, Python, Deep Learning, Detection, Virus.

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Sadaatura, Vasti Chikitsa, Vega Sandhaarana, Lifestyle Disorders

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Investment is a basic requirement of every country. Without investment, no economy will prosper. Investment in the form of FDI is necessary for every country. The investment flow will allow us to invest in different sectors such as agriculture, industry and services. By foreign direct investment, it is possible to convert different types of benefits to the country such as investment, technology, employment, know-how, human resources, skills, knowledge, capabilities from the country. from one country to another. FDI will make the economy stronger. The growth rate of the economy can be determined by the GDP of the country. If the GDP of the country increases, the per capita income of the country will increase, so the living standard of the people will gradually increase, the investments must be by industry and there should be a clear analysis of the investment in the industry., their impact on the unorganized and organized retail sectors as well as on R&D investment and multi-brand retail. There can be inward investment and outward investment, the end result is that the country's economy is expected to grow, in addition to this environmental pollution, the amount of CO2 emissions is also increasing due to this process. industrial. This article was developed based on the existing literature, AND explained the positive and negative aspects of FDI in the Indian economy.

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FDI, Indian Economy, Foreign Investments, Environmental Pollution, GDP, etc.

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Serial communication is the most well-known approach to send the data the slightest bit at a time over a communication Bus. There are many serial communication protocols such as SPI, CAN, LIN and I2C protocol. CAN and LIN protocols specifications are used for the conformance testing. Conformance testing checks that a product performs as indicated by its predetermined norms. CAN protocols provides with high speed of communication between ECU and modules which are present in autonomous vehicles. CAN protocol serves as a main bus while LIN protocol serves as a sub-bus for the CAN protocol. LIN protocol provides low- cost features. Connecting gateways in between CAN and LIN protocols which exchanges the data between two protocols. For autonomous industry, CAN and LIN protocols are more important along with other protocols such as ethernet, flex-Ray and MOST.

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Serial Communication, Autonomous industry, Modules, BCM and communication protocols.

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The unexpected and unplanned first lockdown during the pandemic in the year 2020 had affected the entire economy including the organized and unorganized sectors across the globe. The focal point here is the extent to which the pandemic-induced lockdown has affected the clerical staff and administrative staff in Mumbai. This paper seeks to throw light on the various demographic aspects with special emphasis placed on the change in incomes of the lower income salaried class and possible solutions. As many workplaces opened after the third month of the lockdown, several peons and clerical staff who were either on contract or on temporary basis resumed their jobs but faced pay-cuts. Even though the central government and various state governments announced relief measures and several provisions for the people, it was observed that these measures had not been implemented across all the areas and a majority of the workers and employees did not enjoy any of these benefits. In addition to these issues, the increase in transportation costs and increase in the costs related to healthcare facilities thus had created a further rise in the total expenditure of the peons and clerks who still were either unemployed or were trying to survive on half of their original salaries. The pressure on the peons and their families increased with low salaries or no jobs at all and a huge increase in the expenditure. With no external support from the government or any other institutions, peons faced dark financial situation. Even though the recovery of economy has paced up yet uncertainties persist for the long term, leading to notable damage in the entire section of the community and hence in the future all stakeholders must come together to revive and rework on the policy decisions to sustain crisis periods that benefits the lower-income groups as well as the national interest.

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: Unorganised service sector, Covid-19 Pnademic, Clerical & Administrative Staff and Peons

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Since industrialization is essential to a country's economy, development and industrialization are two parallel wheels for every nation. One of the major businesses in the world, the textile sector offers opportunities to those with no specific training and greatly boosts the economy of many nations. Clothing is one way that the textile industry contributes to human civilization. Numerous environmental risks have been connected to textile effluent. The release of colored wastewater poses a serious risk to both the environment and public health. Since textile wastewater frequently contains a number of contaminants that contaminate the receiving water, it is well-known that it contributes to pollution. Industrial textile processing includes pre-treatment, dyeing, printing, and finishing. A significant by-product of these production processes is chemical pollution. Different organic dyes, chemicals, and auxiliaries are present in textile finishing wastewater, especially dyehouse effluent. In addition to being bright and containing a variety of salts, surfactants, heavy metals, and mineral oils, they also have extreme pH, COD, and BOD values. Therefore, dye bath effluents must be cleaned up before being released into the environment or a municipal wastewater storage facility. There hasn't been a single, cost-effective treatment method that can effectively decolorize textile effluent, which has been a big challenge in recent years. To treat textile wastewater, Physico-chemical and biological (mainly aerobic) systems are frequently employed. In order to reduce COD and BOD, biological processes could be utilized as a pre-treatment decolorization phase in conjunction with conventional treatment methods (such as coagulation-flocculation, and adsorption on activated carbon). This would make them an effective choice for textile dyeing. This study aimed to gain additional knowledge about biological therapy and bioremediation.

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Bioremediation, Biological Treatment, Textile Wastewater.

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Heart disease is becoming one of the most significant reasons for mortality and almost a lot of human beings are suffering from this problem. As we all know it is not so easy to predict the heart disease prior without having very good clinical knowledge. In current days all the predictions are done manually with error rate to find out the abnormalities. In general the manual prediction always makes a lot of errors and a lot of effort is required to process the manual records and hence this motivated me to propose this article in which heart disease prediction can be done by using several Machine Learning algorithms. In general, machine learning is a domain which greatly increases its capabilities in assisting in making decisions and predictions from the large quantity of data produced by the healthcare industry. In this proposed work, we propose an ensemble model by collecting several ML classification models in one location and then test which model gives more accuracy in the prediction of heart diseases. This proposed work is trained by using several ML algorithms and then checking the following factors such as accuracy, precision, recall and F1-Score.By conducting various experiments on several ML Algorithms by taking UCI dataset, we finally check which algorithm fits best for efficient heart disease prediction.

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Machine Learning, UCI Dataset, Heart Disease, Ensemble Model, Disease Prediction.

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ABSTRACT India opens a new chapter of its own culture, education spirituality etc. In the same line Buddhism again wake up by the intellectual persons specially the great archeologist Rajendra Lal Mitra who was a pioneer scholar of oriental studies and the renounce Sanskrit Scholar, archivist, historian of Bengal Haraprasad Shastri who innovated charjapada. After discovering the Ashokia Lipi by James Prinsep a British antiquary and colonial administrator, Rajendra Lal Mitra had deeply moved in Buddhism and presented many valuable works like as Bibliotheca Indica, Buddha Gaya: The Great Buddhist Temple, the Hermitage of Sakya Muni. Lalitavistar Sanskrit Buddhist Literature of Nepal etc. Ashok inscriptions are the first legible evidence of Buddhism.

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Mahavihara, Indian Monastic University, Indian Renaissance, Ashokia Lipi, James Prinsep, British antiquary

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In this research paper, I propose a capability maturity model (CMM) for Scientific Data Practices ( SDP) with the core aim of helping hands to assessment and improvement to such practices for building up of effective SDM by content analysis of papers about SDM practices and the reliable management policies. CMM works further by characterizing organizations by level of maturity of these processes. This model will be helpful for data management improvement evaluating SDM practices

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Big Data, Maturity model, Business Analytics, Business value, Scientific Data Management

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Big data, Cloud computing, Health care, Business, Education

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Keywords- patriarchy, male perception, the concept of male chauvinism, gender discrimination.

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