In the present paper, we establish some compositions formulas for Marichev-Saigo-Maeda (MSM) fractional calculus operators with k-Struve function S_{\nu ,c}^k as of the kernel. The results are presented in terms of generalized k-Wright function _p\Psi _q^k .

Higher education management problems in delivering 100% of graduates who can satisfy business demands. In industry it is often difficult for qualified graduates to identify the appropriate means to evaluate problem - solving abilities as well as shortcomings in the evaluation of problem solving skills. This is partially due to the lack of an adequate methodology. The purpose of this paper is to provide the appropriate CBR-KBS model for predicting and evaluating the characteristics of the student's dataset so as to comply with the parameters of selection required by the university industry. Machine learning algorithms have been used in these study areas under supervision, uncompleted and uncontrolled; K-Nearest neighbor, Naïve Bayes, Decision Tree, Neural Network, Logistic Regression and Vector Support Machines. The proposed model would allow university management to make easier, more professional, experienced and industry-specific plans for the manufacturing of graduates and graduates who passed the type I and II examinations held by the employment opportunities.

The ongoing Covid-19 pandemic has had a serious impact on the global economy and has brought a considerable part of the industry, worldwide, to a standstill. Long unprecedented lockdowns worldwide, to control the spread of corona virus, have affected many individuals and businesses which led to a fall in consumption of commodities to a level never seen before. Shutdown of travel and commercial activities during the lockdowns resulted in reduction of oil import and diesel consumption in India. The reduced consumption of commodities has, in turn, affected the government’s tax revenue. Despite the biggest drop in crude oil price in global market since 1991, the retail price of diesel in India has touched a new high-level record. It was because, in order to overcome the debilitating effects on both the central and state finances, the Indian government has doubled the taxes on diesel. Across the world, diesel is commonly used by various sectors as a means of transporting and electricity generating fuel. It is essentially a price-determining commodity. Therefore, any change in its price may affect the economy to the micro-level, including nation’s Gross Domestic Product (GDP). This study aims to assess the significant effects of the pandemic situation of Covid-19 on diesel in the Indian context.

No abstract

No abstract