Background: Healing of a tooth extraction socket is a complex process involving tissue repair and regeneration. It involves chemotaxis of appropriate cells into the wound, Transformation of undifferentiated mesenchymal cells to osteoprogenitor cells, proliferation and differentiation of committed bone forming cells, extracellular matrix synthesis, mineralization of osteoid, maturation and remodeling of bone. These cellular events are precisely controlled and regulated by specific signaling molecules. Some of these like transforming growth factor beta (TGF-?), vascular endothelial growth factor (VEGF), bone morphogenetic proteins (BMP) and insulin like growth factors (IGF) are well conserved proteins involved in the initial response to injury and repair in soft and hard tissue. Materials and Methods: 48 rabbits weighting an average of (2.5 - 3 kg) were used in this experimental study, and divided into 3 groups as follows; group A ( contains 16 healthy rabbits regarded as control group ) , Group B ( contains 16 diabetic rabbits not received treatment ), group C ( contains 16 controlled diabetic rabbits received insulin as a treatment ), the lower incisor for each rabbits was extracted, after 2, 10, 20 and 30 days of healing periods after scarification , the socket was analysed by immunohistochemical (IHC) estimation of growth factors : TGFbeta-3 , VEGF , IGF-1R , BMP-4 . Results: IHC findings revealed high positive expression of TGFbeta-3, BMP-4 on fibroblasts, osteoproginetor cells, osteoblasts and osteocytes,high positive expression of VEGF on endothelial cells and high positive expression of IGF-1R on endothelial cells and moderate expression on osteoblasts. Conclusions: The inhibition of proliferation and migration of osteoblasts, or differentiation from progenitor cells, is implicated in the delay of teeth sockets healing. For this fact the results of the present study concluded that in the diabetic healing bone (rabbits of group B), the onset of cell proliferation and osteoblast differentiation were delayed and subsequently prolonged healing process when compared with the other groups (rabbits of group A,Cand D).
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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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