Visceral leishmaniasis(VL) or kala-azar is one of the world most neglected tropical diseases in mortality and fourth in morbidity, rK39 dipstick was used to diagnose the suspected infected patients as easiest and rapid technique for VL diagnostic, the disease out-coming required to the differentiation of cell mediated immunity either T-helper 1(Th-1) or (Th-2). One of main pointers that may be considered as one of immune evasion strategy in the host-parasite interplay is HLA-G level alteration. HLA-G Known as a special proteins (non-classical HLA class I) molecules which can suppress the immune system by T-cell functions impaired in the aid with target receptors as LILRB4. The development of the cell mediated immunity initiated with Interleukin-12(IL-12) production by antigen presenting cells (APCs) that induce Interferon-³ (IFN-³)-secreting (Th-1) T cells. The sudden modification in IL-12 level may be referred to some-thing wrong occurred in vivo and the induction may be positively or negatively to naïve T-lymphocytic cell activation as immunity response. So, this study aimed to investigate the alteration in sHLA-G and its receptor levels could be impressed the mean level of IL-12 in VL patients, also tried to finding any correlation between them. All patients scored high significant (P< 0.01) increase level in sHLA-G and its receptor with mean of (17.951± 7.78 ng/ml) for sHLA-G in comparison to control group (0.177± 0.12ng/ml) and high significant (P< 0.01) expression of LILRB4 receptor for sHLA-G on different immune cells (5.149 ± 2.043ng/ml) in comparison to control group (0.279± 0.012 ng/ml). While, the result showed high significant increased (P<0.01) of IL-12 (249.094± 79.37 pg/ml) in comparison to control group (25.079 ± 3.19 pg/ml) with significant linear positive correlation between this cytokine and sHLA-G and its receptor.
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Objectives: To determine the impact of an educational program on nurses’ knowledge
and practices concerning neurogenic bladder rehabilitation for spinal cord injured persons
through a follow-up approach each two months post program implementation for six
months.
Methodology: "Follow-up" longitudinal design by using time series approach of data
analysis and the application of pre-post tests approach for the study and the control
groups. The study was carried out at Ibn Al-Kuff hospital for (SCI) in Baghdad governorate
from 5th of July 2010 to 15th of October 2011. To achieve the objectives of the study, a
non-probability (purposive) sample of (60) nurses (males and females) were working in SCI
units were selec
Industrial development has recently increased, including that of plastic industries. Since plastic has a very long analytical life, it will cause environmental pollution, so studies have resorted to reusing recycled waste plastic (sustainable plastic) to produce environmentally friendly concrete (green concrete). In this research, producing environmentally friendly load-bearing concrete masonry units (blocks) was considered where five concrete mixtures were compressed at the blocks producing machine. The cement content reduced from 400 kg/m3 (B-400) to 300 kg/m3 (B-300) then to 200 kg/m3 (B-200). While (B-380) was produced using 380 kg/m3 cement and 20 kg/m3 nano-sil
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Software-defined networks (SDN) have a centralized control architecture that makes them a tempting target for cyber attackers. One of the major threats is distributed denial of service (DDoS) attacks. It aims to exhaust network resources to make its services unavailable to legitimate users. DDoS attack detection based on machine learning algorithms is considered one of the most used techniques in SDN security. In this paper, four machine learning techniques (Random Forest, K-nearest neighbors, Naive Bayes, and Logistic Regression) have been tested to detect DDoS attacks. Also, a mitigation technique has been used to eliminate the attack effect on SDN. RF and KNN were selected because of their high accuracy results. Three types of ne
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