Background: Periodontitis and type 2 diabetes mellitus are both considered as a chronic disease that affect many people and have an interrelationship in their pathogenesis. Objective: The aim is to evaluate the salivary levels of interleukin-17 (IL-17) and galectin-3 in patients with periodontitis and type-2 diabetes mellitus. Materials and Methods: The samples were gathered from 13 healthy (control group) and 75 patients split into 3 groups, 25 patients with type 2 diabetes mellitus and healthy periodontium (T2DM group), 25 patients with generalized periodontitis (P group), and 25 patients with generalized periodontitis and type 2 diabetes mellitus (P-T2DM group). Clinical periodontal parameters were documented. The concentration of IL-17 and galectin-3 in salivary samples was estimated using enzyme-linked immunosorbent assay. Result: The concentration of IL-17 in the T2DM group (388.612 ± 120.111 pg/mL), the P group (443.887 ± 69.188 pg/mL), and the P-T2DM group (532.769 ± 137.673 pg/mL) showed higher values than the control group (292.079 ± 62.356 pg/mL) with a significant difference at (P < 0.05). Also, the P-T2DM group showed higher values than the P group and the T2DM group with a significant difference (P < 0.05). The concentration of galectin-3 in the T2DM group (2.409 ± 0.147 ng/mL), the P group (2.699 ± 0.386 ng/mL), and the P-T2DM group (2.568 ± 0.285 ng/mL) showed higher values than the control group (1.888 ± 0.356 ng/mL) with a significant difference (P < 0.05). The P group showed a higher value than the T2DM group with a significant difference (P < 0.05). Conclusion: Salivary IL-17 and galectin-3 levels might be used as a biomarker for periodontitis.
Fourier Transform-Infrared (FT-IR) spectroscopy was used to analyze gasoline engine oil (SAE 5W20) samples that were exposed to seven different oxidation times (0 h, 24 h, 48 h, 72 h, 96 h, 120 h, and 144 h) to determine the best wavenumbers and wavenumber ranges for the discrimination of the oxidation times. The thermal oxidation process generated oil samples with varying total base number (TBN) levels. Each wavenumber (400–3900 cm−1) and wavenumber ranges identified from the literature and this study were statistically analyzed to determine which wavenumbers and wavenumber ranges could discriminate among all oxidation times. Linear regression was used with the best wavenumbers and wavenumber ranges to predict oxidation time.
... Show More
(20)
(19)
(18)
(11)
(14)
(15)
(4)
(13)
(4)
(4)
(31)
Mammography is at present one of the available method for early detection of masses or abnormalities which is related to breast cancer. The most common abnormalities that may indicate breast cancer are masses and calcifications. The challenge lies in early and accurate detection to overcome the development of breast cancer that affects more and more women throughout the world. Breast cancer is diagnosed at advanced stages with the help of the digital mammogram images. Masses appear in a mammogram as fine, granular clusters, which are often difficult to identify in a raw mammogram. The incidence of breast cancer in women has increased significantly in recent years.
This paper proposes a computer aided diagnostic system for the extracti
(1)
(1)
Pultruded materials made of Fiber-Reinforced Polymer (FRP) come in a broad range of shapes, such as bars, I-sections, C-sections, etc. FRP materials are starting to compete with steel as structural materials owing to their great resistance, low self-weight, and cheap maintenance costs, especially in corrosive conditions. This study aims to evaluate the effectiveness of a novel concrete Composite Column (CC) using Encased I-Section (EIS) as a reinforcement in contrast to traditional steel bars by using Glass Fiber-Reinforced Polymer (GFRP) as I-section (CC-EIS) to evaluate the effectiveness of the hybrid columns which have been built by combining GFRP profiles with concrete columns. To achieve the aims of this study, nine circular co
... Show More
(4)
(3)