This paper deals  the prediction of the process of  random spatial data of two properties, the first is called  Primary variables  and the second is called secondary  variables ,   the method  that were used in the  prediction process for this type  of data is technique Co-kriging  , the method is usually used when the number of primary variables  meant to predict for one of its elements is measured in a particular location a few (because of the cost or difficulty of obtaining them) compare with secondary variable which is the number of elements  are available and  highly correlated with primary variables, as was the&nbs

Background: Artifact waves in the ECG and Holter recording are not rare in clinical practice and can be mistaken for tachyarrhythmia.

Objective: To orient the practicing physicians to differentiate these artifacts from cardiac arrhythmias.

Patients and Methods: Thirteen patients with incorrectly diagnosed cardiac arrhythmias by ECG or Holter recording then distinguished to be ECG artifacts were included in this study. The patients were collected from the author’s private practice in the northern Iraqi governorate of Sulaimanya during the period from June 2015 to August 2020. The differentiation of the artifact waves from the arrhythmias were made by careful inspection o

The objective of this study was tointroduce a recursive least squares (RLS) parameter estimatorenhanced by using a neural network (NN) to facilitate the computing of a bit error rate (BER) (error reduction) during channels estimation of a multiple input-multiple output orthogonal frequency division multiplexing (MIMO-OFDM) system over a Rayleigh multipath fading channel.Recursive least square is an efficient approach to neural network training:first, the neural network estimator learns to adapt to the channel variations then it estimates the channel frequency response. Simulation results show that the proposed method has better performance compared to the conventional methods least square (LS) and the original RLS and it is more robust a

This paper  deals  to how to estimate points non measured spatial data when the number of its terms (sample spatial) a few, that are not preferred for the estimation process, because we also know that whenever if the data is large, the estimation results of the points non measured to be better and thus the variance estimate less, so the idea of this paper is how to take advantage of the data other secondary (auxiliary), which have a strong correlation with the primary data (basic) to be estimated single points of non-measured, as well as measuring the variance estimate, has been the use of technique Co-kriging in this field to build predictions spatial estimation process, and then we applied this idea to real data in th

The object of this study is to establish a global model to use of DeNovo programming the strategies of multi-Decision making process in the city of Baghdad.

Thus, we have chosen an important and an effective subject in the life of the citizen due to the importance of this subject in the Iraqi citizen of luck of water and for many reasons.

In this thesis, we have tackled the establishment of a global model to be able to reach solution or an alternative model a money the available alternative.

        The alternative proposed here utilizes the application of the (DeNovo) programming approach suggested by (1982) in solving t

MCA has gained a reputation for being a very useful statistical method for determining the association between two or more categorical variables and their graphical description. For performance this method, we must calculate the singular vectors through (SVD). Which is an important primary tool that allows user to construct a low-dimensional space to describe the association between the variables categories. As an alternative procedure to use (SVD), we can use the (BMD) method, which involves using orthogonal polynomials to reflect the structure of ordered categorical responses. When the features of BMD are combined with SVD, the (HD) is formed. The aim of study is to use alternative method of (MCA) that is appropriate with order

Background: Polycystic vary syndrome (PCOS) is a common endocrine disorder, affecting up to 10% of women of reproductive age. The cardinal features of PCOS are hyperandrogenism (HA) and oligo-anovulation. Many work teams recently have relate the severity of PCOS with Anti mullerian hormone (AMH) or antral follicle count (AFC). Objective: 1) to confirm if there is an increase of serum AMH in this group of patients with PCOS, 2) to relate the AMH level to the follicle status at ultrasound (U/S) in this group, and 3) to search if AMH or AFC can serve as surrogate for the definition of PCOS. 

Patients and methods: Twenty five (control) and anoth

Background: Pulmonary hypertension (PH) is a hemodynamic and pathophysiological condition
defined as an increase in mean pulmonary arterial pressure (PAP) ≥25 mmHg at rest as assessed by
right heart catheterization (RHC). Although there is some underestimation and overestimation of PAP
between transthoracic Doppler echo (DE) and RHC, Doppler echo remains an indispensable screening
tool for the assessment of PH.
Objective: clinical evaluation of patients with primary pulmonary hypertension (PPH) and assess
vasoreactivity testing to identify patients who may benefit from long term therapy with calcium channel
blockers (CCBs).
Patients and methods: This prospective study was performed in the cardiac catheterization

The aim of this research is to determine the most important and main factors that lead to Preeclampsia. It is also about finding suitable solutions to eradicate these factors and avoid them in order to prevent getting Preeclampsia. To achieve this, a case study sample of (40) patients from Medical City - Oncology Teaching Hospital was used to collect data by a questionnaire which contained (17) reasons to be investigated. The statistical package (SPSS) was used to compare the results of the data analysis through two methods (Radial Bases Function Network) and (Factorial Analysis). Important results were obtained, the two methods determined the same factors that could represent the direct reason which causes Preecla