Volume 9 | Issue 12 |

 Abstract

Parmanganatic oxidation of L- aspartic acid has been investigated at 303K in acidic medium using spectrophotometric technique. Both catalytic and non catalytic processes were found first order with respect to aspartic acid and permanganate ions. The oxidation is a double stage process, both stages are linear. The line corresponding to each of the stage intersect at a point. This point is an initial point for second stage process. k1 and k1l represent the pseudo first order rate constants corresponding to the faster of the two stages i.e. the first stage and the second, slower stage of the process respectively. These are the average rate constant for oxidation reaction.

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 Keywords

L- Aspartic acid, permanganate oxidation, miceller, surfactant.

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Stock Market Price Prediction, Long Short Term Memory, Deep Learning, Machine Learning

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Abstract The havoc created by the world-wide pandemic COVID-19 toppled the complete economic status of the country, under brunt. The economy has been extremely affected due to COVID-19 Pandemic. Reserve Bank of India; the Apex bank of India made necessary changes with the help of expert in their policy for facing COVID19 pandemic. Entire Indian Banking sector faced and continue to face many challenges such as liquidity issue, Reserve Bank Of India reduced REPO rate to name a few. Since people are struggling to receive income, Reserve Bank of India decided to provide concession for paying EMI from customer by increasing the period for re-payment. The objective of the research paper is to study the changes RBI bought in its policy due to COVID-19 and also in general how COVID-19 has impacted the Indian Banking Sector. Further the solution is proposed for Indian Banking system to tackle the losses due to COVID19 Pandemic. The research found that Indian Banking system has added various measures due to COVID-19 Pandemic to make Banking system smooth and effective. Most of the Indian Banks were facing the problem of NPA, Non recovery of loan, customer frauds, Bad Loans etc. and to add on to it COVID-19 has expedited the collapse of Indian Banking business. No doubt banks are established in India with a fundamental purpose to make profit by giving expected comfort to customers. But Covid19 has changed the scenario of Indian customers. Due to shut down of businesses income source of the people came to halt. Then where lie the scope of availing loan and repaying with interest. These challenges our Indian banks are facing in current pandemic situation.

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Covid 19, Repo Rate

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Current study was designed with the main purpose to study terrestrial orchid species of Karnataka for their mycorrhizal association. The present investigation on the study of mycorrhizae in the selected terrestrial orchid included collection of orchid plant, rhizosphere soil samples and nutritional analysis of rhizosphere soil. The terrestrial orchid was collected from natural habitats from various locations of Kemmangundi and Sagar provinces of Karnataka State and was later investigated for mycorrhizal association. The rhizosphere soil samples along with underground parts the above plants were collected. Both physico-chemical and chemical analysis of the soil like determination of pH, electrical conductivity (EC), organic carbon, macro and micronutrients were carried out. Soil analysis in all the samples have revealed that even though soil was rich with humus and contained adequate amount of soil nutrients, phosphorus was found to be low. Soil phosphorus availability was positively related to mycorrhizal diversity probably because under low soil phosphorus availability plants and fungi are both phosphorus limited.

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Terrestrial Orchid, Western ghats, Rhizosphere soil, Mycorrhizal association.

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Liver fibrosis is the formation of abnormally large amount of tissue in the liver. It occurs when the liver attempts to repair and replace damaged cells. Non-invasive assessment of severity of liver fibrosis is crucial for understanding histology and making decisions on antiviral treatment for chronic HBV [Hepatitis B virus] in view of associated risk of biopsy. The evaluation of relation between serum markers based on ultra sound images. It will detect accuracy and shows staging of liver fibrosis. To avoid the drawbacks of liver biopsy non-invasive method using machine-learning techniques was developed recently. In this paper image, information is also included in the dataset. For image information, the new algorithm was used that is ANFIS (Adaptive Neuro Fuzzy Inference System). In this concept, an approach has been taken to predict liver grades & what effects its severity.

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Key words: Non-invasive assessment; Serum- markers machine learning; image interfering, liver disease severity;

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Image Processing, 3-D HAND GEOMETRY, Authentication, Boimetrics, etc

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Moral, deception, political, technical, leadership, feminine

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Machine Learning, Artificial intelligence, applied science, statistical method, Random Forest and decision Tree, and Prediction

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Paschim Medinipur district is located in the south western part of West Bengal. Data was collected through household survey from the elder member of the one hundred tribal family. This paper highlights on socioeconomic status of parents of the tribal drop out students of Paschim Medinipur district in West Bengal. The researcher found that 55% tribal parents are illiterate, 35% tribal parents just enrolled in lower primary, 5% tribal parents had studied up to the upper primary level and 5% tribal parents had studied up to the high school. 80% tribal parents were dependent on agriculture , 10% tribal families on small business and 10% tribal parents on small contractual service. They had no Government job. Majority of the respondents monthly income was below Rs. 5000. Only 2% respondents monthly income ranges from Rs. 5001 to 10000.

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 Keywords

Tribal, dropout, Student, Paschim Medinipur.

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This study aims to evaluate the characteristics of conditional volatility of the Indian stock market and compare the nature of volatility between the boom-and-bust phase of the Indian Financial cycle. The asymmetric volatility modelling is conducted using Exponential GARCH (EGARCH), Asymmetric power GARCH (APARCH) and GJR-GARCH on S&P Nifty 50 during July 2001 to June 2017 to arrest the nature of Indian financial cycle. We perform Value at Risk back-testing for adequacy of model fitness and compare half-life estimation for understanding the nature of persistence. Our study identifies APARCH (1,1) to be the best model for explaining boom phase volatility and EGARCH (1,1) as the best model for bust phase. The study also reveals the existence of inverse leverage effect in the boom-and-bust phase of the financial cycle. Our study originally contributes by comparing and documenting the empirical performance of GARCH processes during the boom-and-bust phase of Indian Financial Cycle. These empirical results would be beneficial for better risk management, portfolio optimisation and asset pricing.

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 Keywords

Asymmetric GARCH models, EGARCH, APARCH, GJR GARCH, Financial Cycle, Half-life estimation, Leverage effect.

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Creative Commons Attribution 4.0 and The Open Definition