A Comparison between odd magic squares use in cryptographic algorithms.

This paper has been developed to compare encryption algorithms based on individual magic squares and discuss the advantages and disadvantages of each algorithm or method. Where some positions of the magic square are assigned to the key and the remaining positions are assigned to the message, then the rows, columns and diagonals are summed and these results are as ciphertext and in the process of decryption the equations are arranged and solved by Gauss elimination metod. All algorithms were applied to encrypte the text and images, as well as using both GF(P) and GF(28), and the speed and complexity were calculated. The speed of MS9 by using GF(P) is 15.09085 Millie Second, while by using GF(28) it will be 18.94268 Millie Second, and the complexity is the value of the ASCII code raised to the exponent of the number of message locations multiplied by the value of the prime number raised to the exponent of the number of key locations.

On Solvability of the Integro-Differential Equations

In this paper, we study the existence of solution to integro-differential equations in the space of Lebesgue-integrable on un-bounded interval after transformed to nonlinear integral functional equation, the used tool is the fixed point theorem due to Schauder with weak measure of non compactness, due to De-Blasi. In addition, we give an example which satisfies the conditions of our existence theorem.

Bayesian Variable Selection for Semiparametric Logistic Regression

Lasso variable selection is an attractive approach to improve the prediction accuracy. Bayesian lasso approach is suggested to estimate and select the important variables for single index logistic regression model. Laplace distribution is set as prior to the coefficients vector and prior to the unknown link function (Gaussian process). A hierarchical Bayesian lasso semiparametric logistic regression model is constructed and MCMC algorithm is adopted for posterior inference. To evaluate the performance of the proposed method BSLLR is through comparing it to three existing methods BLR, BPR and BBQR. Simulation examples and numerical data are to be considered. The results indicate that the proposed method get the smallest bias, SD, MSE and MAE in simulation and real data. The proposed method BSLLR performs better than other methods.

Application of strip domain and parabolic region on univalent holomorphic functions

In this paper, by using univalent functions connected with the strip domain,parabolic starlike and parabolic uniformly convex functions are introduced.Some relations between these classes are proved.

On The Quadruple Sequence Spaces of Fuzzy Complex Numbers

In this paper, the quadruple sequence spaces of fuzzy complex numbers are shown, and several features such as solidity, symmetry, monotonicity, and convergence-free are discussed.

Bayesian Estimating for cox Ingersoll Ross process

the model of term structure of interest rates are consider the most significant and computationally difficult portion of the modern finance due to a relative complexity of using techniques. This article concerns the Bayesian estimation of interest rate models. Assume the short term interest rate follows the Cox Ingersoll Ross (CIR) process , this process has several feature. In particular mean reverting and the other feature is remanis non- negative , so this is what distinguishes it from previous models. It is implement in the R programing.

Prevalence Comparsion between typhoid fever and H. pylori bacteria in Al-Diwaniyah province

Salmonella,H.pylori

the Graph point – symmetric

Cayley graph has been introduced by A . Cayley , which is point – symmetric . However in this paper , I have found another type of symmetric graph , which is not Cayley graph . This graph is called peterson graph with 10 vertices is proposed

Cubic Spline Interpolation for Data Infections of COVID-19 Pandemic in Iraq

In this paper, we use an empirical equation and cubic spline interpolation to fit Covid-19 data available for accumulated infections and deaths in Iraq. For Scientific visualization of data interpretation, it is useful to use interpolation methods for purposes fitting by data interpolation. The data used is from 3 January 2020 to 21 January 2021 in order to obtain graphs to analysing the rate of increasing the pandemic and then obtain predicted values for the data infections and deaths in that period of time. Stochastic fit to the data of daily infections and deaths of Covid-19 is also discussed and showed in figures. The results of the cubic splines and the empirical equation used will be numerically compared. The principle of least square errors will be used for both these interpolations. The numerical results will be indicated that the cubic spline gives an accurate fitting to data.

On Commutativity of Prime Rings with Symmetric Left θ-3- Centralizers

Let R be an associative ring with center Z(R) , I be a nonzero ideal of R and be an automorphism of R . An 3-additive mapping M:RxRxR R is called a symmetric left -3-centralizer if M(u1y,u2 ,u3)=M(u1,u2,u3)(y) holds for all y, u1, u2, u3 R . In this paper , we shall investigate the commutativity of prime rings admitting symmetric left -3-centralizer satisfying any one of the following conditions : (i)M([u ,y], u2, u3) [(u), (y)] = 0 (ii)M((u ∘ y), u2, u3) ((u) ∘ (y)) = 0 (iii)M(u2, u2, u3) (u2) = 0 (iv) M(uy, u2, u3) (uy) = 0 (v) M(uy, u2, u3) (uy) For all u2,u3 R and u ,y I