ABSTRACT Background: chronic periodontitis and rheumatoid arthritis are widely prevalent diseases and are characterized by tissue destruction due to chronic inflammation. Recently, there is growing evidence that the two diseases share many pathological features the aims of the study To determine the periodontal health status in patient have chronic periodontitis with rheumatoid arthritis and compare it with those having chronic periodontitis without Rheumatoid arthritis and determine the serum levels of interleukin -17(IL-17), tumor necrosis factor- alpha (TNF-α ) in both groups and compare with the control group (subject samples neither have periodontitis nor arthritis ) and correlate these immunological markers with the periodontal parameters Plaque index , gingival index , bleeding on probing, probing depth, clinical attachment level and number of missing teeth. Materials and methods: Eighty (80) males and females subjects with age range (30-45) years were recruited in this study they were divided into three main groups The chronic periodontitis with rheumatoid arthritis group consist of thirty (30) subjects and second group consist of thirty (30) subjects have chronic periodontitis and third group consist of twenty (20) subject case control group. All subjects had normal weight and height range according to BMI (body mass index) that it value is (18.5-25), Clinical periodontal parameters used in this study were Plaque index, gingival index, bleeding on probing, clinical attachment level index, probing pocket depth and number of missing teeth was measured in all groups at four surfaces of all presented teeth Blood samples were collected from all individuals and examined to determined serum level of interleukin -17 and tumor necrosis factor-a by mean of enzyme-linked immune–sorbent assay. Results: The present study showed patients with chronic periodontitis and rheumatoid arthritis had higher prevalence of sites presenting dental plaque, a higher rate of gingival inflammation and bleeding on probing greater probing depth, greater attachment loss and high number of missing teeth compared to those had chronic periodontitis only and control subjects . Also highly significant differences between studied group regarding serum level of IL-17 and TNF-α atp < 0.001, as well as, it revealed that mean serum levels of IL-17 were statistically higher in chronic periodontitis with rheumatoid arthritis group (607.9 ± 79.9) than Chronic Periodontitis group (421.4 ± 5.9) and Control groups (15.9 ± 2.7) similarly serum level of TNF-α (402.2 ± 41.2 319.4 ± 526 85.3 ± 4.9) respectively at p < 0.001. Regarding correlation, the current study observed strong positive correlation between serum levels of IL-17 andTNF-α with PL.I, GI, BOP, PPD CAL and the number of missing teeth in the PRA at p<0.001. Also this study reveal significant correlation between the two immunological markers (TNF-α and IL-17) in chronic periodontitis with rheumatoid arthritis group and in Chronic Periodontitis group. Conclusion: It was concluded that there was higher potentiality to chronic periodontitis involvement among rheumatoid arthritis patients, that correlated positively with increase the level of serum levels of IL-17 and TNF-α accordingly with high score of clinical parameters that had recorded. That mean TNF –a and IL-17 may play an important role in increase the severity of periodontitis as well as rheumatoid arthritis
The research involves using phenol – formaldehyde (Novolak) resin as matrix for making composite material, while glass fiber type (E) was used as reinforcing materials. The specimen of the composite material is reinforced with (60%) ratio of glass fiber.
The impregnation method is used in test sample preparation, using molding by pressure presses.
All samples were exposure to (Co60) gamma rays of an average energy (2.5)Mev. The total doses were (208, 312 and 728) KGy.
The mechanical tests (bending, bending strength, shear force, impact strength and surface indentation) were performed on un irradiated and irrad
... Show MoreIn this research , we study the inverse Gompertz distribution (IG) and estimate the survival function of the distribution , and the survival function was evaluated using three methods (the Maximum likelihood, least squares, and percentiles estimators) and choosing the best method estimation ,as it was found that the best method for estimating the survival function is the squares-least method because it has the lowest IMSE and for all sample sizes
In this research , we study the inverse Gompertz distribution (IG) and estimate the survival function of the distribution , and the survival function was evaluated using three methods (the Maximum likelihood, least squares, and percentiles estimators) and choosing the best method estimation ,as it was found that the best method for estimating the survival function is the squares-least method because it has the lowest IMSE and for all sample sizes
The current issues in spam email detection systems are directly related to spam email classification's low accuracy and feature selection's high dimensionality. However, in machine learning (ML), feature selection (FS) as a global optimization strategy reduces data redundancy and produces a collection of precise and acceptable outcomes. A black hole algorithm-based FS algorithm is suggested in this paper for reducing the dimensionality of features and improving the accuracy of spam email classification. Each star's features are represented in binary form, with the features being transformed to binary using a sigmoid function. The proposed Binary Black Hole Algorithm (BBH) searches the feature space for the best feature subsets,
... Show MoreAtenolol was used with povidone iodine to prove the efficiency, reliability and repeatability of the long distance chasing photometer (NAG-ADF-300-2) using continuous flow injection analysis. The method is based on reaction between atenolol and povidone iodine in an aqueous medium. Optimum parameters was studied to increase the sensitivity development of method. Calibration graph was linear in the range of 2-19 mmol/L for cell A and 5-19 mmol/L for cell B. Limit of detection 146.4848 ng/55 µL and 2.6600 µg/200 µL respectively to cell A and cell B. Correlation coefficient (r) 0.9957 for cell A and 0.9974 for cell. Relative standard deviation (RSD %) was lower than 1%, (n=8) for the determination of
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