Back ground : The transforming growth factor beta (TGFB) signaling pathway is involved in many cellular processes in both the adult organism and the developing embryo including cell growth, cell differentiation, apoptosis. The interaction between implant material and surrounding tissues is believed to play a fundamental role in implant success and illustrates different expression of growth factors by different cells that involved in the formation of peri-implant tissue. The aim of this study was to localize expression of TGF B by newly formed bone tissue around surface-conditioned implants with placental collagen at different time intervals: 3 ,7,14,28, and 56 days . Materials and Methods: Commercially pure Titanium (CPTi) implants coated with collagen protein were placed in the tibia of 20 new Zealand rabbits . Immunohistochemical study for localization of TGF B in peri –implant tissue for interval periods 3 ,7,14,28, and 56 days was performed under light microscope.. Results: Positive expression of Transforming growth factor B can be detected in osteoblast, osteocyte, newly deposited matrix includes collagenous tissue and non mineralized osteoid tissue. Endothelial cells line blood vessel showed positivity too. Minerlized bone trabeculae and mature bone illustrate negative expression. Conclusion: The present study suggests that placental collagen, coated Ti implant illustrates positive expression of transforming growth factor B by osteoblast and endothelial cell that enhanced bone formation.
Most dental supplies don't seem to be much of a barrier against germ infiltration. Therefore, the filling must be done with perfect caution and high antimicrobial effectiveness. When dental erosion occurs due to germs that lead to caries, a dental filling is used, creating a small microscopic space between the dental filling and the root end infiltration. This allowed the tooth to be penetrated for the second time, which was the research problem. Adding two compounds to antibacterial fillers (zinc polycarboxylate cement) made them work better: Firstly, was zinc oxide (ZnO) that was made chemically, and secondly, was green ZnO nanoparticles that were made from orange peels and mixed with ZPCC in different amounts. The study was conducte
... Show MoreThis study was done to determine the effect of watery and alcoholic extracts of Elettaria cardamomum on growth of bacteria isolated from Otitis media Infections which are : Pseudomonas aeruginosa , Staphylococcus aureus and Klebsilla spp. The biochemical analysis revealed that watery extracts of Elettaria cardamomum contains: Glycosides, Alkaloids, Saponines, Tannins, and Volatile oils, ( This compound is Soluble in water ) , while the alcoholic extracts contains : (in addition to the above mentioned compounds ) Phenols , Resins , Flavonids and Coumarins. ( This compound is Soluble in organic solutions ). To study the e
... Show MoreThe present study aimed to investigate the effects of level pH and the growth phases of Coelastrella saipanensis on Chlorophyll a,b, total, and Carotene. The algae were cultured in BG11 media and grown at different pH levels. We measured chlorophyll a, b, total chlorophyll, growth phases, and carotene concentrations. The results showed that at pH 8.5, the measurements of photosynthetic pigments-chlorophyll a, Chlorophyll b, and the total chlorophyll (0.183, 0.268, and 0.433 mg L-1, respectively). The highest values of chlorophyll a (0.185 mg L-1), and b (0.339 mg L-1), and the total chlorophyll (0.492 mg L-1) were recorded in the stationary phase. In addition, the study found that at pH 8.5 and the beginning of the stationary phase,
... Show MoreBackground: Loss of tooth structure may be due to tooth to tooth contact and presence of abrasive components in the work environment. The aim of study was planned to evaluate the occurrence of dental attrition among Cement factory workers. Material and Method: The Sample included all workers chronically exposed to cement dust in the EL-Kubaisa cement factory (95 workers). A comparative group of workers (97) were non-exposed to cement dust was selected. All workers were males in gender with age range (25-55) years. The assessment of tooth wear was based on the criteria of smith and knight, 1984. Results: The maximum tooth wear score for exposed workers was 84.2% while non exposed workers was 38.1%,with statistical differences between two g
... Show MoreBackground: diabetic mellitus is one of the serious systemic diseases that may cause general systemic changes, which may be reflected in the oral cavity. The aims of this study were to assess the severity of dental caries, Mutans Streptococci and Lactobacilli in addition to flow rate and pH among uncontrolled and controlled diabetic groups in comparison with non-diabetic control group. Materials and Methods: Study groups consisted of 25 uncontrolled diabetic patients (HbA1c > 7), 25 controlled diabetic patients (HbA1c ? 7), in addition to 25 non-diabetic healthy looking individuals. Their age was (18-22) years from both genders. The diagnosis and recording of dental caries was according to severity of dental caries lesion through the applic
... Show MoreThe current study aims to identify the artistic expression as well as the aspects of artistic expression by the painting among the kindergarten children. In order to fulfill the research's goals, a sample of (400) children were chosen randomly from 19 public kindergartens of 6 directorates at Al-Rusafa and Al-Karkh in Baghdad city. The children were asked to draw a particular view. The researcher has adopted Al-Hamedawi scale (2009) consisted of (16) items, which was exposed to group of (25) experts in psychology, education, measurement and evaluation, artistic education by painting and plastics to show the items reliability. As the researcher applied T-test for 
... Show MoreThe influx of data in bioinformatics is primarily in the form of DNA, RNA, and protein sequences. This condition places a significant burden on scientists and computers. Some genomics studies depend on clustering techniques to group similarly expressed genes into one cluster. Clustering is a type of unsupervised learning that can be used to divide unknown cluster data into clusters. The k-means and fuzzy c-means (FCM) algorithms are examples of algorithms that can be used for clustering. Consequently, clustering is a common approach that divides an input space into several homogeneous zones; it can be achieved using a variety of algorithms. This study used three models to cluster a brain tumor dataset. The first model uses FCM, whic
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