Background: Chronic myeloid leukemia is a cancer of the white blood cells characterized by the increased and unregulated growth of predominantly myeloid cells in the bone marrow. This study aimed to determine the effect of chronic myeloid leukemia on Dental caries and Oral health status including Gingivitis, Loss of attachment, Plaque index and Calculus index as well as evaluation of salivary flow rate and salivary interleukins-6 and tumor necrosis factor-?. Material and methods: Study group consisted of (75) subjects, (25) were newly diagnosed with chronic myeloid leukemia, (25) were taking medications (Glevic), and (25) were control subjects, all aged 45-55 years old. Collection of stimulated salivary samples was performed under standard conditions, then salivary flow rate and salivary cytokines estimation was done. Clinical examination and oral health assessment were carried out under the standardized conditions of oral health surveys of World Health organization. dental plaque was scored according to the criteria of plaque Index by Silness and Loe(1964), Dental calculus was scored following the criteria of calculus component of the periodontal Index (Ramfjord, 1959), assessment of gingival health done according to the criteria of gingival Index for Loe and Silness (1963) and loss of attachment done following the criteria of WHO (1997). Caries assessment was done according to the WHO modified Decayed-Missing-Filled Index (DMF) and examination was done with a plane mouth mirror and CPI probe. Results: DMFS index were higher in the newly diagnosed group followed by the control group and then the treated group but the LSD test showed that differences were statistically not significant between each two groups, Plaque index was higher in the newly diagnosed group, and the differences were statistically significant only between the newly and the control group (p<0.05), Calculus index was higher in the newly diagnosed group and the difference was statistically significant between the newly diagnosed group and the treated group. Gingival index was higher in the control group and the difference was statistically highly significant between the new and control groups (p<0.01) and also highly significant between control group and the treated group. Loss of attachment index was higher in the control group the LSD test show that the difference was statistically significant between the control group and each one of the other two groups. In regard to saliva, salivary flow rate was higher in the control group; the difference was significant between the control and the newly diagnosed group and highly significant between control and the treated group. Interleukin-6 level was higher in the newly diagnosed group then the treated group then the control group. LSD test show that the difference was statistically significant between the new and the treated group (p<0.05) and it was highly significant between the new and the control group (p<0.01) but it was not significant between the treated and control group. TNF-? level was higher in newly diagnosed group followed by the treated group then the control group and the difference was statistically significant with the treated group and highly significant with the control group, but the difference was not significant between the treated and the control group. Conclusion: Salivary Interluekine-6 and Tumor necrosis factor- ? levels were higher in the newly diagnosed group. Saliva provides an ideal tool for the detection of pro-inflammatory markers. Salivary IL-6and TNF-? may play an important role as biomarkers for CMLand IL-6 is more predictable for the response to the treatment than TNF-?.
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Resource estimation is an essential part of reservoir evaluation and development planning which highly affects the decision-making process. The available conventional logs for 30 wells in Nasiriyah oilfield were used in this study to model the petrophysical properties of the reservoir and produce a 3D static geological reservoir model that mimics petrophysical properties distribution to estimate the stock tank oil originally in place (STOOIP) for Mishrif reservoir by volumetric method. Computer processed porosity and water saturation and a structural 2D map were utilized to construct the model which was discretized by 537840 grid blocks. These properties were distributed in 3D Space using sequential Gaussian simulation and the variation in
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Nowadays, still images are used everywhere in the digital world. The shortages of storage capacity and transmission bandwidth make efficient compression solutions essential. A revolutionary mathematics tool, wavelet transform, has already shown its power in image processing. The major topic of this paper, is improve the compresses of still images by Multiwavelet based on estimation the high Multiwavelet coefficients in high frequencies sub band by interpolation instead of sending all Multiwavelet coefficients. When comparing the proposed approach with other compression methods Good result obtained
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This study is considered the first effort of its kind in Iraq and in the Middle East towards studying the Marbled Teal Marmaronetta angustirostris that was carried on in Hor Al-Dalmaj, southern Iraq. The findings of this effort illustrate its importance as it paves the way for further study and observation for the bird and this important wetland itself. This study tackles the all possible aspects of the ecological and biological statuses of Marbled Teal (Threatened –Vulnerable bird species – IUCN Redlist) by means of field surveys and systematic monitoring that were conducted along the four seasons over the years 2013-2014 in one of the ecologically important and prominent and poorly-known wetlands in the
... Show MoreThe purpose of this paper is to model and forecast the white oil during the period (2012-2019) using volatility GARCH-class. After showing that squared returns of white oil have a significant long memory in the volatility, the return series based on fractional GARCH models are estimated and forecasted for the mean and volatility by quasi maximum likelihood QML as a traditional method. While the competition includes machine learning approaches using Support Vector Regression (SVR). Results showed that the best appropriate model among many other models to forecast the volatility, depending on the lowest value of Akaike information criterion and Schwartz information criterion, also the parameters must be significant. In addition, the residuals
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Rainwater harvesting could be a possible solution to decrease the consequences of water scarcity and energy deficiency in Iraq and the Kurdistan Region of Iraq (KRI). This study aims to calculate the water and energy (electricity) saved by rainwater harvesting for rooftops and green areas in Sulaimani city, KR, Iraq. Various data were acquired from different formal entities in Sulaimani city. Moreover, Google Earth and ArcMap 10.4 software were used for digitizing and calculating the total rooftop and green areas. The results showed that for the used runoff coefficients (0.8 and 0.95), the harvested rainwater volumes were 2901563 and 12197131 m³ during the study period (2005 – 2006) and (2019-2020). Moreover, by compa
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