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1

Mahmudov H.M., Suleymanov T.Y., Sabzaliyeva Z.E., *Imanova G.T ., Azizova K.V., Hasanova S.A.

Abstract:
It was investigated the rregularities of molecular hydrogen from water dispersing Al2O3 nanoparticles irradiated with Gamma-Ray. Kinetics of molecular hydrogen produced from the radiolysis of the system of water and Al2O3-nanoparticles with different sizes were studied. It was determined that, the molecular hydrogen yield of liquid solutions of smaller-sized catalysts is higher for 1.4-1.6 times than the large-sized catalysts.Equal distribution of nanocatalyst in water medium and much more adsorption of water molecule on the catalyst surface causes to more efficient of radiolysis process.


1-7
2

Sumit Geahlan

Abstract:
FDEs have demonstrated their usefulness in biology for explaining intricate phenomena that rely on memory, hereditary characteristics, along with non-local interactions. This study examines the resolution of a particular Fractional Differential Equation (FDE) that controls a biological model. The model incorporates population dynamics that


8-19
3

Gulshan Kumari Naresh Kumar

Abstract:
Linear algebra is a branch of mathematics that deals with vectors, matrices, and linear transforms, and it plays an important role in Machine Learning algorithms, data analysis, and classification, among other areas. Machine Learning is used to give computers the ability to learn and make decisions on their own, a field that shares many similarities with mathematics, especially Linear Algebra, which is utilized in areas such as graphing, prediction, and regression. In this work, we examine the relationship between linear algebra and machine learning, and we provide a quick introduction to certain statistical ideas because this field is so inextricably linked to mathematics and statistics. Finally, we demonstrate how linear algebra, namely matrices and vectors, are used in popular machine learning methods like linear regression and support vector machine.\r\n


20-32
4

Vikash Kumar1, Dr. Jully Ojha2, Dr. Shri Krishna Patel3

Abstract:
This study looked at how salivary cortisol levels in volleyball players responded to a relaxation programme, behaviour modelling video, and imagery. Elite volleyball players, both male and female, were a part of the quasi-experimental design. At a significance threshold of P0.05, the data were examined using (experimental and control), (male and female), multifactor analysis of covariance with repeated measurements. The results showed a substantial main effect between the experimental and control groups, proving that the mental training programme significantly affected the level of salivary cortisol.


33-42
5

  • EXPLORING ANALYTIC METHODS IN NUMBER THEORY: A COMPARATIVE STUDY OF DIRICHLET SERIES AND ZETA FUNCTIONS AND THEIR APPLICATIONS IN ANALYTIC NUMBER THEORY

    DOI:DOI:18.A003.aarf.J14I01.007336

Nisha

Abstract:
Beginning with the thoughts of symphonies series and unique totals by and large, this is an extremely essential and educational outline of the standards of zeta capability and of the going with zeta regularization methodology. It is exhibited the way that these powerful methodologies are applied for the regularization of actual amounts, for example, quantum vacuum changes in assorted circumstances, utilizing staggeringly clear models. Specifically, in Casimir impact settings, with a remark on the dynamical Casimir impact and an emphasis on its utilization in quantum hypotheses in bended spaces, which are later, applied to gravity speculations and cosmology. In this review, the Laplacian on a surface of transformation was dealt with involving the shape necessary methodology for the zeta capability associated with a differential administrator. We decided the deposits and upsides of the zeta capability at various critical spots utilizing the WKB development. The results are in accordance with those of the intensity bit extension.


43-53
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