Volume 8 | Issue 4 | April-2020

 Abstract

Discrete ageing classes can be classified according to various ageing concepts and stochastic orderings.This paper deals with stochastic comparisons of certain lifetime distributions with respect to their a. p. g. f.s discrete analogue of Laplace transforms. Based on ratios of a, p, g, f s, two types of orderings of lifetime distributions are developed and their properties are studied. Certain preservation properties of these ordering are also considered.

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a.p.g.f, discrete ageing classes, ratio ordering, stochastic ordering.

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The purpose of the present study was to analyse the effect of selected weight training exercises on the growth of leg strength of football players. The study was conducted on 40 male football interuniversity players, age ranged from 20 to 26 years who were randomly selected from Guru Ghasidas Vishwavidyalaya, Bilaspur(C.G.) were taken as the subjects. The selected group of subjects was divided into two groups viz. experimental and control. The weight training schedule which was administered on experimental group only, different weight training exercises were given (i.e., close grip bench press , squat, dumbell lunges, standing leg curls, dumbell dead lift, and leg press). This weight training programme were carried out for a period of 6 weeks for one hour every evening for 5 days in a week. Control groups were no treatment group and were engaged in their own daily activity programme. As delimited to measure the leg strength of the subjects standing broad jump (SBJ) tests was used. For the administration and scoring of these tests item procedure mentioned in AAPHER, youth fitness test (1958) was taken as the model. It was analyse from the results of the study that there was significant effect of the weight training exercise on the leg strength of the selected football players.

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Keywords: Football players, Leg strength, Weight training

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In the present paper, we would like to discuss about Newton-Raphson Method. This method is a powerful technique for finding the roots of given equations numerically. It is based on the simple idea of linear approximation using direct iteration method. Here, we have studied the roots polynomial equations using Programming of FORTRAN & MATLAB and compared their results. We found that this method is faster than Bisectional method as well as False position method.

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Newton-Raphson Method, iteration method, FORTRAN & MATLAB Programming

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Positron life time measurement have been done for CdSe. Samples were prepared in pellet form. Two identical scintillation detectors with the time resolution 300 ps have been used to measure start and stop signal. PAL spectra have been recorded by connecting electronics and MCA data acquisition system. PAL spectra have been analyzed by PATFITT88 software to fit the life times. Samples were annealed and measured life times. The variation in positron lifetime as well as intensity for CdSe due to heat treatment is observed. The value of life time (?1) is attributed to diffused vacancies at grain boundaries and second life time(?2) is attributed to annihilation of positron directly trapped in vacancy like defect in the samples. It is clear from the tables that there is small change in life-time (?2 ) of annealed samples in comparison to pristine life-time (?1) in CdSe. Secondary lifetime (?2) increases but corresponding intensity decreases respectively, which indicate that concentration of defects is decreased due to annealing

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Defects study in CdSe using positron annihilation lifetime spectroscopy

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LPG POLICY AND GROWTH OF INDIAN ECONOMY

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Decision making styles, secondary school heads, educational qualification etc

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NdCl3 and ErCl3 both has hexagonal structure with site symmetry C3h for trivalent rare earth ion and KNd3F10 has tetragonal structure with site symmetry C4v for the same.The energy levels (all in cm-1 units) of ground term , magnetic splitting factors i.e g-values and magnetic susceptibilities were calculated with the help of crystal field theory . Then using the corresponding crystal field parameters (CFP) energy levels of some excited states in visible and UV range of this compound has been calculated and compared with some other compounds from different references..As they belong to visible range so they are called optical energy levels. Possible Zeeman splitting was also shown for two states of ErCl3 .

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Crystal field effect, g-values, excited energy levels with spectroscopic notation, Zeeman effect

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Artificial intelligence can ingest massive data and assimilate information into the system of the user. The AI algorithms apply training data that ensures people and enterprises learn how to respond to various situations. Thus, they learn by adding and copying additional data they are working with into the system with multiple software that can quickly detect the malicious attack, and AI helps determine what can be done in this situation. Through this, artificial intelligence has gained dominance in affiliated organizations across the world. The solutions AI provides for industries make it to be considered as an improvement in technology that helps the data to stay intact and away from criminals, and this is what enterprises prefer. All the changes created by artificial intelligence do not give organizations credit to relax and assume their system is in reasonable control, but they are expected to determine new ways in which artificial intelligence and machine learning can prevent malicious attacks forever. Following the above concepts, it is essential to apply literature that can provide data collection alternatives and have authentic information concerning artificial intelligence. Hence, the primary ideas addressed in the paper include how organizations use artificial intelligence to counter cyber threats, how AI improves cybersecurity, and how the information can be helpful to individuals and enterprises in the United States.

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Artificial intelligence (AI), Cyberthreats, Cybersecurity, Malicious attacks.

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