Background: Tumor necrosis factor-alpha (TNF-α) and interleukins play important roles in the pathogenesis of rheumatoid arthritis (RA). Genetic research has been employed to find many of the missing connections between genetic risk variations and causal genetic components. Objective: The goal of this study is to look at the genetic variations of TNF-α and interleukins in Iraqi RA patients and see how they relate to disease severity or response to biological therapy. Method: Using specific keywords, the authors conducted a systematic and comprehensive search to identify relevant Iraqi studies examining the genetic variations of TNF-α and interleukins in Iraqi RA patients and how they relate to disease severity or response to biolo

Background: Astrocytoma, is heterogeneous tumor of the nervous system and studies on the virulence of these tumors reveal that their behavior is led by small population of cells which are the brain tumor stem cells (BTSCs) that drive the continuous proliferation and self-renewal. From the many markers that annotate BTSCs, are the CD133, and NESTIN.

Objectives: Using CD133, to immunolabel BTSCs niches in paraffin sections of astrocytoma then, extraction of these cells, to calculate fold expression of NESTIN gene across the grades by real time PCR.

Materials and methods: Paraffin blocks of four grades of primary astrocytoma have been selected from three age groups from Iraq

Background: Germ cell tumors are a rare heterogeneous group of cancers with high cure rates in the pediatric age group.
Objectives: To study the clinical and pathological features in a group of patients with germ cell tumors and to evaluate their outcomes.
Patients and methods: A record review was undertaken on a group of patients with germ cell tumor who were admitted to the Children Welfare Teaching Hospital in Baghdad during the years 2009 - 2015. Information on gender, age, clinical signs, pathological findings, treatment and overall survival rate were reviewed.
Results: The patients had a mean age of 4.2 years (ranging from 1 month - 14 years). There were 45 girls and 16 boys. Abdominal pain was the most common presentation

Background: Multiple tumors in the nervous system is a rare event..
Patient & Method: .A forty two years old male who was enjoying completely healthy life presented with one week history of a single attack of confusion .he was presented with double tumour in the brain operated up on our department by craniotomy.
Results: His neurological clinical examination was negative. A CT scan & MRI of the brain showed two intracranial space occupying lesions. A solid right frontal lesion and another cystic lesion in the third ventricle. . The pathology proved the frontal lesion to be a meningioma while the third ventricular tumour was colloid cyst. Post operative period was uneventful. Follow up for few months showed no complaint.

Sensibly highlighting the hidden structures of many real-world networks has attracted growing interest and triggered a vast array of techniques on what is called nowadays community detection (CD) problem. Non-deterministic metaheuristics are proved to competitively transcending the limits of the counterpart deterministic heuristics in solving community detection problem. Despite the increasing interest, most of the existing metaheuristic based community detection (MCD) algorithms reflect one traditional language. Generally, they tend to explicitly project some features of real communities into different definitions of single or multi-objective optimization functions. The design of other operators, however, remains canonical lacking any inte

          Fruits sorting, recognizing, and classifying are essential post-harvest operations, as they contribute to the quality of food industry, thereby increasing the exported quantity of food. Today, an automated system for fruit classification and recognition is very important, especially when exporting to markets where quality of fruit must be high. In this study, the advantages and disadvantages of the various shape-based feature extraction algorithms and technologies that are used in sorting, classifying, and grading of fruits, as well as fruits quality estimation, are discussed in order to provide a good understanding of the use of shape-based feature extraction techniques.

This paper presents the intricate issues and strategies related to the translation of children's books, and it particularly focuses on the comparative analysis of "The Tale of Peter Rabbit" by Beatrix Potter and "Le Petit Prince" (The Little Prince) by Antoine de Saint-Exupéry. The study finds that the typical problems in translation are, idiomatic expressions, cultural reference, and the voice preservation, along side-sheet-specific challenges which each of the text faces. The translator of Potter's work should have skills of transposing all culturally oriented peculiarities of the UK land to the international audience to keep it accessible. On the contrary, "Le Petit Prince" translation will be the process of capturing the abstra