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Strong financial management is mandatory for a company to survive. Financial management is getting complex day by day in the era of globalization. Effective financial management tools are required for optimum utilization of available funds, the balance between liquidity and use of assets, streamlining of liabilities, pay ability of short-and long-term debts etc. to sustain company growth. The recession in the industry adds further pressure on the management for the effective utilization of limited resources. In this paper, the effect of recession on liquidity and funds efficiency of POWERGRID (Power Grid Corporation of India Limited) is studied. Power Grid is chosen for the study as POWERGRID is the premiere power transmission company in India and has constantly maintained the system availability above 99%, matching worldwide transmission utility standards. In this paper, we discuss the liquidity ratios-current ratio and the quick ratio. Activity ratios, such as debtor turnover and inventory turnover ratios are also calculated for the POWERGRID's efficiency. We also identify whether there is any effect of the subprime crisis and subsequent recession in 2007-2008 on the liquidity and funds efficiency of POWERGRID.POWERGRID data from 1999 to 2019 is taken into account from the company's website. The whole data of 20 years is divided into two phases 1999-2008 (pre-recession Phase-1) and 2008-2019 (post-recession Phase-2).

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Brachytherapy treatment is primarily used for the certain handling kinds of cancerous tumors. Using radionuclides for the study of tumors has been studied for a very long time, but the introduction of mathematical models or radiobiological models has made treatment planning easy. Using mathematical models helps to compute the survival probabilities of irradiated tissues and cancer cells. With the expansion of using HDR-High dose rate Brachytherapy and LDR-low dose rate Brachytherapy for the treatment of cancer, it requires fractionated does treatment plan to irradiate the tumor. In this paper, authors have discussed dose calculation algorithms that are used in Brachytherapy treatment planning. Precise and less time-consuming calculations using 3D dose distribution for the patient is one of the important necessities in modern radiation oncology. For this it is required to have accurate algorithms which help in TPS. There are certain limitations with the algorithm which are used for calculating the dose. This work is done to evaluate the correctness of five algorithms that are presently employed for treatment planning, including pencil beam convolution (PBC), superposition (SP), anisotropic analytical algorithm (AAA), Monte Carlo (MC), Clarkson Method, Fast Fourier Transform, Convolution method. The algorithms used in radiotherapy treatment planning are categorized as correction‐based and model‐based.

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