Human beta-defenses (hBDs) are antimicrobial peptides involved in innate immune protection, and their association with the risk of respiratory allergy has been proposed. Therefore, this study sought to evaluate this association in allergic rhinitis (AR) and asthma (AS) of Iraqi patients. A case-control study was conducted to investigate serum levels of hBD1, hBD2, hBD3, and hBD4 in 52 AR and 60 AS patients and 61 healthy controls (HC). The hBDs were determined using enzyme-linked immunosorbent assay kits. Results revealed that median levels of hBD1, hBD2, and hBD3 were significantly elevated in the serum of AR and AS patients compared with HC (p < 0.01). Levels of hBD4 were also elevated in AR and AS patients but the differences were not significant. The levels of hBDs showed no significant differences between AR and AS patients. Age, gender, symptoms, and disease duration of patients influenced some of these variations. Logistic regression analysis indicated that hBD3 was the most important marker associated with the risk of AR and AS, and the estimated Odds ratios were 25.31 (95% confidence interval: 2.97-215.78; p = 0.012) and 32.20 (95% confidence interval: 2.49-415.89; pc = 0.032), respectively. Receiver operating characteristic curve analysis revealed that hBD3 occupied a very good area under the curve in AR and AS (0.83 and 0.84, respectively). In conclusion, the role of hBDs in the pathogenesis of AR and AS was indicated. In this context, hBD3 was the most important, and its association with the risk of developing AR and AS was suggested.
This paper focuses on Load distribution factors for horizontally curved composite concrete-steel girder bridges. The finite-element analysis software“SAP2000” is used to examine the key parameters that can influence the distribution factors for horizontally curved composite steel
girders. A parametric study is conducted to study the load distribution characteristics of such bridge system due to dead loading and AASHTO truck loading using finite elements method. The key parameters considered in this study are: span-to-radius of curvature ratio, span length, number of girders, girders spacing, number of lanes, and truck loading conditions. The results have shown that the curvature is the most critical factor which plays an important
Longitudinal data is becoming increasingly common, especially in the medical and economic fields, and various methods have been analyzed and developed to analyze this type of data.
In this research, the focus was on compiling and analyzing this data, as cluster analysis plays an important role in identifying and grouping co-expressed subfiles over time and employing them on the nonparametric smoothing cubic B-spline model, which is characterized by providing continuous first and second derivatives, resulting in a smoother curve with fewer abrupt changes in slope. It is also more flexible and can pick up on more complex patterns and fluctuations in the data.
The longitudinal balanced data profile was compiled into subgroup
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