BackgroundSpontaneous urticaria is a common allergic skin condition affecting 0.5–1% of individuals and may burden on health care expenditure or may be associated with remarkable morbidity.AimIn this study, we measured the effect of vitamin D supplementation in patients with a diagnosis of CSU. Furthermore, quality of life and cytokine changes were evaluated.MethodsThe clinical trial was conducted on 20 patients with idiopathic chronic urticaria. Vitamin D was administered orally for 8 weeks and disease activity was measured pre- and post-treatment using USS and DLQI. On the other hand expressions of IL-17, IL-10, Foxp3, and TGF-β by Real-time RT-PCR were assessed.ResultsUSS questionnaire showed that severity of idiopathic urticaria after the intervention, which compared with the first day reached a significant 55% reduction. The DLQI quality of life questionnaire 2 months after treatment showed 55% improvement. Along with the significant improvement of clinical symptoms, use of vitamin D increase FOXP3 gene expression and downregulation of IL-10, TGF-B, and FOXP3, IL-17, but these changes were not statistically significant.LimitationThese might happen due to lack of enrolled population in the investigation.ConclusionVitamin D can be used along with standard medical care and it’s a safe and cost-effective method for the treatment of chronic urticaria with deficiency of vitamin D.

Face Recognition is one of the most important issues in Image processing tasks. It is important because it uses for various purposes in real world such as Criminal detection or for detecting fraud in passport and visa check in airports. Face book is a nice example of Face recognition application, when it sends notification to one user’s friends who are recognized by their images that user uploaded in face book page. To solve Face Recognition problem different methods are introduced such as Principal Component Analysis (PCA), Independent Component Analysis (ICA), Support Vector Machine (SVM), Linear Discriminant Analysis (LDA), and Hidden Markov Models (HMM) which are explained and analyzed. Also algorithms like; Eigen face, Fisher face and Local Binary Pattern Histogram (LBPH) which are simplest and most accurate methods are implemented in this project for AT&T dataset to recognize the most similar face to other faces in this data set. To this end these algorithms are explained and advantages and disadvantages of each one are analyzed as well. Consequently, the best method is selected with comparison between the results of face reconstruction by Engine face, Fisher face and Local binary pattern histogram methods. In this project Eigen face method has best result. It should be noted that for implementing face recognition algorithms color map methods are used to distinguish the facial features more precisely. In this work Rainbow color map in Eigen Face algorithm and HSV color map in Fisher Face algorithm are utilized and results shows that HSV color map is more accurate than rainbow color map.

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In future 5G wireless systems with wide-band MIMO and ultra-high-density cells, the reduced delay back and forth between mobile device and base station requires 1ms primary band processing delay. In a large-scale MIMO downlink(DL) system, An orthogonal pilot sequence is send to base station from user for channel estimation of uplink training. The advanced MIMO downlink TDD systems technology has been developed taking into account the effects of experimental pollution on channel estimation with consideration of Uplink(UL). The pre-coding system is widely applied with experimental reuse factors to mitigate the effects of experimental pollution. This achieves a higher transfer rate than traditional methods. The first PLS technology considered in this proposed method is a possible beam forming technique using MIMO. In addition to beam formation, the artificial noise (AN) technology is also validated. AN also reduces the transmitter's listening ability to detect and decode information signals addressed to the intended receiver by generating random noise signals in addition to information signals. This proposed work provides current channel estimation and MIMO detection algorithms for MIMO on a large scale to reduce the computational cost of broadband matrix computing. Channel reciprocity allows the base station only to obtain channel status information (CSI) from UL pilots. Two current algorithms have been introduced for each LS, MMSE, ZF and MMSE procedure based on a simplified uplink model, performance of this traditional approach has been measured in MSE and BER. MATLAB simulation is performed based on the proposed massive MIMO and the results are presented.