Background: An oily calcium hydroxide formulation proved over the last years to be highly efficient in promoting bone regeneration in closed defects as periapical lesions, cysts, or post-extraction defects. The aim of the present study is the assessment of the outcome of treatment of deep intrabony periodontal defects with an Open Flap Debridement) (OFD) + combination of {(30% Hydroxyapatite HAp + 70% ?-Tricalcium Phosphate granules mixed with an Oily Calcium Hydroxide Suspension (OCHS )} and compare the results with {(OFD) alone)}. The combination of OCHS& TCP was used in humans with a sort of positive results, and more conduction of studies was recommended. Material and method: The sample of this study composed of sixteen patients; each had at least two intrabony defect teeth. For each patient, one tooth was treated by OFD only (control group 16 teeth) and the other teeth (study group 16 teeth) were treated with OFD + a mixture of (OSTEON II- Korea) granules comprise of (30% Hydroxyapatite HAp + 70% ?-Tricalcium Phosphate) and OCHS (Osteoinductal®, Osteoinductal GmbH., Muenchen, Germany). The clinical parameters that were measured and recorded included (Plaque index PLI, Gingival index (GI), Gingival recession(GR) , Bleeding on probing (BOP), probing pocket depth (PPD), clinical attachment level (CAL) and radiographical width & depth of the bony defect. These parameters were recorded before treatment (base line) & six months after the treatment. Results: The results after treatment revealed a highly significant reduction in all of the parameters except the PLI in both study & control groups compared to baseline (p < 0.001). The clinical results were indicated that the study group showed significant reductions of PPD and CAL mean values more than improvements obtained by the control group with significant difference (p < 0.05). Conclusions: An excellent postoperative improvement in clinical parameters was noticed in the study group more than control group and the differences were significant. Thus the present study has revealed that the treatment modality of OFD + a combination of granules comprise of (30% Hydroxyapatite HAp + 70% ?-Tricalcium Phosphate) mixed with oily Calcium Hydroxide suspension is successful, predictable and more beneficial than (open flap debridement) (OFD) alone in the treatment of deep intrabony periodontal defects.
Speech encryption approaches are used to prevent eavesdropping, tracking, and other security concerns in speech communication. In this paper, a new cryptography algorithm is proposed to encrypt digital speech files. Initially, the digital speech files are rearranged as a cubic model with six sides to scatter speech data. Furthermore, each side is encrypted by random keys that are created by using two chaotic maps (Hénon and Gingerbread chaotic maps). Encryption for each side of the cube is achieved, using the based map vector that is generated randomly by using a simple random function. Map vector that consists of six bits, each bit refers to one of the specific chaotic maps that generate a random key to encrypt each face of the cube. R
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Data mining has the most important role in healthcare for discovering hidden relationships in big datasets, especially in breast cancer diagnostics, which is the most popular cause of death in the world. In this paper two algorithms are applied that are decision tree and K-Nearest Neighbour for diagnosing Breast Cancer Grad in order to reduce its risk on patients. In decision tree with feature selection, the Gini index gives an accuracy of %87.83, while with entropy, the feature selection gives an accuracy of %86.77. In both cases, Age appeared as the most effective parameter, particularly when Age<49.5. Whereas Ki67 appeared as a second effective parameter. Furthermore, K- Nearest Neighbor is based on the minimum err
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Data mining has the most important role in healthcare for discovering hidden relationships in big datasets, especially in breast cancer diagnostics, which is the most popular cause of death in the world. In this paper two algorithms are applied that are decision tree and K-Nearest Neighbour for diagnosing Breast Cancer Grad in order to reduce its risk on patients. In decision tree with feature selection, the Gini index gives an accuracy of %87.83, while with entropy, the feature selection gives an accuracy of %86.77. In both cases, Age appeared as the most effective parameter, particularly when Age<49.5. Whereas Ki67 appeared as a second effective parameter. Furthermore, K- Nearest Neighbor is based on the minimu
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Breast cancer is the most prevalent malignancy among women worldwide, in Iraq it ranks the first among the population and the leading cause of cancer related female mortality. This study is designed to investigate the correlations between serum and tissue markers in order to clarify their role in progression or regression breast cancer. Tumor Markers are groups of substances, mainly proteins, produced from cancer cell or from other cells in the body in response to tumor. The study was carried out from April 2018 to April 2019 with total number of 60 breast cancer women. The blood samples were collected from breast cancer women in postoperative and pretherapeutic who attended teaching oncology hospital of the medical city in Baghdad and
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