There is a great risk of cardiovascular disease (CVD) and vascular thrombosis in patients with End-Stage Renal Disease (ESRD). These patients exhibit numerous abnormalities in coagulation, fibrinolytic, inhibitory protein abnormalities in multiple levels. The study aimed to assess hypercoagulable changes by measuring the levels of antithrombin, plasma fibrinogen and FXII activity in patients with ESRD, and to find their correlation with Hemoglobin (Hb) level, WBC count, reticulocyte percentage and platelet count. This study was conducted at Al-Hayat center, Al Karama Teaching Hospital on 50 ESRD patients aged < 60 years of both genders. In addition, 20 apparently healthy individuals were included as a control group. The mean Hb level, total

Introduction: The stringent response is a bacterial adaptation mechanism triggered by stress conditions, including nutrient limitation. This response helps bacteria survive under harsh conditions, such as those encountered during infection. A key feature of the stringent response is the synthesis of the alarmone (p)ppGpp, which influences various bacterial phenotypes. In several bacterial species, stringent response activation significantly affects biofilm formation and maintenance. Methods: Clinical specimens were collected from multiple hospitals in Baghdad, Iraq. Staphylococcus aureus was identified using conventional biochemical tests. The PCR technique was applied to detect mecA, icaA, and icaD genes, while the Vitek 2 compac

This research examines the future of television work in light of the challenges posed by artificial intelligence (AI). The study aims to explore the impact of AI on the form and content of television messages and identify areas where AI can be employed in television production. This study adopts a future-oriented exploratory approach, utilizing survey methodology. As the research focuses on foresight, the researcher gathers the opinions of AI experts and media specialists through in-depth interviews to obtain data and insights. The researcher selected 30 experts, with 15 experts in AI and 15 experts in media. The study reveals several findings, including the potential use of machine learning, deep learning, and na

Önsöz

Bu tez Türkçe'de -yor ekinin kullanışları başlığını taşımaktadır.

            Bilindiği gibi, bu ek Türkçe'de bir çok sayıda görev ve işlev yüklenebilmektedir. Bu ek Türkiye Türkçesinde en sık kullanılan şimdiki zaman ekidir. Bu ek hem şekil hem zaman ifade eder. Ayrıca da bu ekin çeşitli kullanışları verdır.

            Bu ekle ilgili kaymalar çok açık olup örnekleri de son derece fazladır

Sıfat - Fiillere Osmanlıcada fer’i fiil adı verilmektedir. Sıfat - fiiller için çeşitli kaynaklarda, kılın adı (kılın sanı[1]), ortaç[2], sıfat - fiil (sıfat - eylem[3]), partisip[4], isim - fiil[5] gibi terimler kullanılmıştır.

Sıfat - fiiller, isim- fiiler gibi fiilden türerler. Aldıkları belli başlı ekler vardır. Bu eklere sıfat - fiil ekleri denir.sıfat - fiiller, cümlede bir sıfat gibi görev yaparlar. Sıfatlar gibi isimlerin önün gelirler ve onları nitelerler tıpkı bir sıfat gibi ismin hal eklerini alab

العلاقات العراقية التركية في مجال المياه

النشاطات العلمية لفرع الفكر السياسي

The research addresses the role of the digital economy in the growth of the Iraqi economy during the period from 2010 to 2022. The research is based on the hypothesis that the digital economy has become one of the primary growth drivers worldwide and has a close relationship with economic development. Therefore, the digital transformation in Iraq can accelerate bridging developmental gaps with other countries.

It has become evident that the Iraqi economy suffers from structural imbalances for various reasons, hindering economic growth. These reasons include political and economic factors, as well as the absence of a well-thought-out policy to promote the agricultural sector, which is considered one of the fundamental sectors capa

A substantial portion of today’s multimedia data exists in the form of unstructured text. However, the unstructured nature of text poses a significant task in meeting users’ information requirements. Text classification (TC) has been extensively employed in text mining to facilitate multimedia data processing. However, accurately categorizing texts becomes challenging due to the increasing presence of non-informative features within the corpus. Several reviews on TC, encompassing various feature selection (FS) approaches to eliminate non-informative features, have been previously published. However, these reviews do not adequately cover the recently explored approaches to TC problem-solving utilizing FS, such as optimization techniques.