In this paper, we will provide a proposed method to estimate missing values for the Explanatory variables for Non-Parametric Multiple Regression Model and compare it with the Imputation Arithmetic mean Method, The basis of the idea of this method was based on how to employ the causal relationship between the variables in finding an efficient estimate of the missing value, we rely on the use of the Kernel estimate by Nadaraya – Watson Estimator , and on Least Squared Cross Validation (LSCV) to estimate the Bandwidth, and we use the simulation study to compare between the two methods.

The -multiple mixing ratios of γ-transitions from levels of populated in the are calculated in the present work by using the a2-ratio methods. We used the experimental coefficient (a2) for two γ-transitions from the same initial state, the statistical tensor, which is related to the a2-coefficient would be the same for the two transitions. This method was used in a previous work for pure transitions or which can be considered pure. In these cases the multiple mixing ratios for the second transition ( ) equal zero, but in our work we applied this method for mixed γ-transitions and then the multiple mixing ratio ( ) is known for one transition. Then we calculate the ( ) value and versareversa. The weight average of the -values calcu

Background: Several factors render multiple myeloma (MM) an interesting subject for study by researchers. These include marked progress in understanding the molecular biology of normal and neoplastic plasma cells and recent advances in molecular genetics techniques. Among molecular markers, p-53 cancer suppressor gene have been widely studied.
Aim: is to correlate p-53 protein expression in multiple myeloma, as examined by immunohistochemical method, with some pathological and clinical parameters (Clinical stage and cytological grade).
Patients and methods: This is a retrospective study; whereby archival paraffin-embedded BM tissue blocks along with the clinical and hematological records of fifty patients (

The -multiple mixing ratios of γ-transitions from levels of  populated in the  are calculated in the present work by using the a2-ratio methods.  We used the experimental coefficient (a2) for two γ -transitions from the same initial state, the statistical tensor, which is related to the a2-coefficient would be the same for the two transitions.  This method was used in a previous work for pure transitions or which can be considered pure. In these cases the multiple mixing ratios for the second transition ( ) equal zero, but in our work we applied this method for mixed γ-transitions and then the multiple mixing ratio ( ) is known for one transition. Then we calculate the ( ) value and versareversa.  The we

Background: Multiple sclerosis (MS) prevalence in Iraq is 11.73/100,000 it causes disability in younger adults. Expanded Disability Status Scale (EDSS) can monitor MS disability while Visually Evoked Potentials (VEP) serves as a marker of myelination.

Objectives: To explore the relationship between EDSS and VEPs in multiple sclerosis patients.

Patients and Methods: A cross-sectional study was conducted in Ghazi Al- Hariri Hospital from first of Nov 2021 till the end of Jan 2022. Fifty patients with multiple sclerosis were compared to 50 healthy individuals. EDSS Data were collected using a structured questionnaire, P100 latency were measured using VEP. The Correlation was u