Background:

Background: Changes in the indication for splenectomy in hematology, especially in hematological malignancies, has been observed in the last 10 – 15 years. Yet splenectomy, as a diagnostic tool, is still an option in the management of isolated splenomegaly.
Objectives: to describe the outcome of diagnostic splenectomy in the management of 12 patients presenting with isolated splenomegaly.
Patients and methods: Between August 2005 and July2012, Twelve patients underwent splenectomy for diagnostic purposes in the hematology unit / Baghdad Teaching Hospital. Analysis of these patients was done with a median follow up of 16 months (6 months -4 years).
Results: The median age was 46 years (range 25-68). The median duration of sympt

     In this paper , certain subclass of harmonic multivalent function defined in the exterior of the unit disk by used generalize hypergeometric functions is introduced . In This study an attempting have been made to investigate several geometric properties such as coefficient property , growth bounds , extreme points , convolution property , and  convex linear combination .

Due to the vast using of digital images and the fast evolution in computer science and especially the using of images in the social network.This lead to focus on securing these images and protect it against attackers, many techniques are proposed to achieve this goal. In this paper we proposed a new chaotic method to enhance AES (Advanced Encryption Standards) by eliminating Mix-Columns transformation to reduce time consuming and using palmprint biometric and Lorenz chaotic system to enhance authentication and security of the image, by using chaotic system that adds more sensitivity to the encryption system and authentication for the system.

In this work, we consider a modification of the Lotka-Volterra food chain model of three species, each of them is growing logistically. We found that the model has eight equilibrium points, four of them always exist, while the rest exist under certain conditions. In terms of stability, we found that the system has five unstable equilibrium points, while the rest points are locally asymptotically stable under certain satisfying conditions. Finally, we provide an example to support the theoretical results.

Many fuzzy clustering are based on within-cluster scatter with a compactness measure , but in this paper explaining new fuzzy clustering method which depend on within-cluster scatter with a compactness measure and between-cluster scatter with a separation measure called the fuzzy compactness and separation (FCS). The fuzzy linear discriminant analysis (FLDA) based on within-cluster scatter matrix and between-cluster scatter matrix . Then two fuzzy scattering matrices in the objective function assure the compactness between data elements and cluster centers .To test the optimal number of clusters using validation clustering method is discuss .After that an illustrate example are applied.

Summary:
OBJECTIVE Many associations have been found between specific HLA antigens and increased susceptibility to various diseases . So we tried to associate class I and class II antigens with acute lymphoblastic leukemia . We also demonstrate the presence of antibodies in serum of acute lymphoblastic leukemic patients against HLA class I.
DESIGN: Prospective study.
SETTING: Tissue typing and histocompatibility center at Al- Karamah Teaching Hospital. PATIENTS AND METHOD: 70 acute lymphoblastic leukemia patients from pediatric hospitals. HLA ( human leukocyte antigens) typing done for them by serological method and cross matching and blood grouping were also done for them.
RESULTS: there was significant difference between pa

      Many neuroscience applications, including understanding the evolution of the brain, rely on neural cell instance segmentation, which seeks to integrate the identification and segmentation of neuronal cells in microscopic imagery. However, the task is complicated by cell adhesion, deformation, vague cell outlines, low-contrast cell protrusion structures, and background imperfections. On the other hand, existing segmentation approaches frequently produce inaccurate findings. As a result, an effective strategy for using the residual network with attention to segment cells is suggested in this paper. The segmentation mask of neural cells may be accurately predicted. This method is built on U-net, with EfficientNet serving as the e

  Let L be a commutative ring with identity and let W be a unitary left L- module. A submodule D of an L- module W is called  s- closed submodule denoted by  D ≤sc W, if D has   no  proper s- essential extension in W, that is , whenever D ≤ W such that D ≤se H≤ W, then D = H. In  this  paper,  we study  modules which satisfies  the ascending chain  conditions (ACC) and descending chain conditions (DCC) on this kind of submodules.