Search

Your search keyword '"Megaladevi"' showing total 4 results
Start Over Author "Megaladevi" Database Academic Search Index
4 results on '"Megaladevi"'

1. A study on financial performance analysis of the select Paper Company with special reference to Tamil Nadu Newsprint and papers limited.

Author

Megaladevi, P.

Subjects
*FINANCIAL performance, *DATABASES, *ECONOMIC equilibrium, *PRIVATE sector
Abstract

The present study aims to identify the financial strengths and weaknesses of the Tamil Nadu Newsprint and Papers Limited (TNPL) by properly establishing relationships between the items of the balance sheet and profit and loss account. The study has been undertaken for the period of ten years from 2004-05 to 2013-14 and the necessary data have been obtained from CMIE database. The liquidity position was strong in case of TNPL thereby reflecting the ability of the company to pay short-term obligations on due dates and they relied more on external funds in terms of long-term borrowings thereby providing a lower degree of protection to the creditors. Financial stability of TNPL has showed a downward trend and consequently the financial stability of TNPL has been decreasing at an intense rate. The study exclusively depends on the public sector published financial data and it does not compare with private sector paper mills. This is a major limitation of the research. The study is of crucial importance to measure the firm's liquidity, solvency, profitability, stability and other indicators that the business is conducted in a rational and normal way; ensuring enough returns to the shareholders to maintain at least its market value. The study will help investors to identify the nature of paper industry and will also help to take decision regarding investment. [ABSTRACT FROM AUTHOR]

Published
2015

2. Mitigation of Abiotic and Biotic Stress Using Plant Growth Regulators in Rice.

Author

Ajaykumar, Ramasamy, Murali Krishnasamy, Subramani, Dhanapal, Rajendran, Ramkumar, Govindaraju, Megaladevi, Pachamuthu, Manjubala, Muthusamy, Chandrasekaran, Perumal, Pradeeshkumar, Thangavel, Navinkumar, Chinnaraju, and Harishankar, Kanthaswamy

Subjects
*ABIOTIC stress, *PLANTHOPPERS, *PLANT regulators
Abstract

Split plot design experiments were conducted to assess the performance of growth regulating compounds for mitigating moisture stress and the incidence of Brown Plant Hopper (BPH) in rice. The main plot treatments (4) comprised moisture stress free control (M1), moisture stress during panicle initiation stage alone (M2), moisture stress during flowering stage alone (M3), and moisture stress during both panicle initiation and flowering stages (M4). The sub-plot treatments (5) were foliar application of growth regulating compounds including chlormequat chloride at 200 ppm (S1), mepiquat chloride at 200 ppm (S2), brassinolide at 0.1 ppm (S3), pink pigmented facultative methylotrophs (PPFM) at 1% (S4), and no spray control (S5). The reduced plant growth attributes were registered under moisture stress at both panicle initiation and flowering stages. The spraying of 1% PPFM during the flowering or both at panicle initiation and flowering stages led to better performance than the other treatments. Also, spraying 1% PPFM brought down the population of BPH to a considerable level during both years of experiments. This suggests that spraying 1% PPFM in the post-flowering stage helps to mitigate the ill effect the moisture stress and BPH incidence. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

3. Implementation of blockchain in supply chain.

Author

Gulati, Nimish, Sethi, Arushi, Mahesh, Dandugudum, Makkar, Sandhya, Manoharan, Geetha, Megaladevi, and Palanivel, Raghuvaran

Subjects
*BLOCKCHAINS, *SUPPLY chains, *PYTHON programming language, *PHYSICAL distribution of goods, *KNOWLEDGE transfer
Abstract

Objectives: To study the basic concepts and techniques of blockchain technology and how blockchain can be used to improve the performance of present supply chain and logistics industry. To develop a working prototype of blockchain using python language for movement of goods Methodology: Blockchain is an immutable, sequential chain of records which are termed as blocks. The blocks can contain any kind of data like transactions, files etc. The blocks are chained together using the Hashes. So, the code developed in this program supports all the properties of the python that are immutability, transparency, and decentralization. A working supply chain prototype is developed using Python Programming. The interaction with the Blockchain is done using HTTP client Postman which will make requests to the created Blockchain Conclusion: All the current models which are followed involves the central entity which governs how the business is conducted, how the data is stored, how the information is transferred, how the transactions are carried and various other aspects of the business but with the introduction of blockchain this whole system can be changed as blockchain involves decentralized system in which there is no central entity, it makes for a more secure system in which the information is distributed among various entities. A small prototype which has been developed in python using various libraries demonstrate how the blockchain can be implemented in supply chain, how it can be made more secure and more transparent, how hashing is done, how the blockchain gets tempered could be known.. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

4. Predicting US presidential elections and impact on Indian economy.

Author

Manoharan, Geetha, Sharma, Dhruv, Kaur, Pashmeen, Durai, Subhashini, and Megaladevi

Subjects
*PRESIDENTIAL elections, *CAMPAIGN management, *SENTIMENT analysis, *PUBLIC opinion, *ELECTION forecasting, *ECONOMIES of agglomeration, *POLITICAL forecasting
Abstract

Sentiment analysis is a method of discovery of insights from the texts or comments or feedbacks from underlying a document (opinion mining). This can also be seen as a perspective, a decision or feedbacks on a particular subject matter. The analysis can be done using polarity detection which is a popular technique to devise and segregate information or data as positive, negative or neutral sentiments obtained from different content systems, such as news, audits and tweets. To forecast the results of the recent US presidential elections, this paper aims to operate on data derived from Twitter. The data is available on https://github.com/dhruvsharma2351996/US%5fElection%5fPrediction%5fdata. In the field of politics, where political institutions need to grasp public opinion and therefore evaluate their campaigning strategy, the reasoning behind performing this research isthat the prediction will also help to know that which party has more favorable views and will help to predict future early. US presidential elections will have a major impact on India and by this research paper we will also study the major it will have on Indian economy. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results