Frequency of helicobacter pylori hopQI, hopQII and sabA genes among Iranian patients with gastroduodenal diseases

Background: Helicobacter pylori has been recognized as the most common pathogen of human gastroduodenal tract and it has been suggested that adhesins, including HopQ and SabA, are associated with the organism’s virulence. Objectives: The current study aimed at determining the frequency of hopQI, hopQII, and sabA genes among H. pylori isolates from patients with gastroduodenal disorders in Shahrekord, Iran. Methods: Gastric corpus samples were obtained from 150 symptomatic patients admitted to the endoscopy unit at gastroenterology clinic. After DNA extraction from all corpus samples, H. pylori molecular confirmation and genotyping was performed by the polymerase chain reaction (PCR), using specific primers for glmM, 16SrRNA and hopQ, sabA genes, respectively. Results: The hopQI, hopQII, and sabA genes were found in 74 (49.3%), 59 (39.3%), and 43 (28.7%) cases, respectively. The hopQI gene was detected in 75% of patients with gastric cancer (GC), 42.4% with chronic gastritis (CG), and 57.4% with peptic ulcer disease (PUD). The hopQII among patients with GC, CG, and PUD was also detected in 50%, 38.8%, and 39.3%, respectively. Moreover, sabA was diagnosed in 50% of patients with GC, 29.4% with CG, and 26.2% with PUD. Conclusions: No significant association was observed between hopQI, hopQII, and sabA genes with clinical outcomes

The Role of Social and Cultural Factors in Consumer Purchasing Behavior in Social Networks

Nowadays, some customers tend to buy clothes through social networks, and several factors affect this willingness. One of the important factors influencing people's willingness to buy clothing through social networks is social and cultural factors. Hence, this research seeks to examine the role of social and cultural factors in the purchase of clothing through social networks. In this research, a mixed method has been used. In the qualitative section, texts were transcribed and coded through literature reviews and interviews with active vendors in social networks. The components were categorized into 4 final categories and then presented in the original model. In the quantitative part, based on the original model, a questionnaire was prepared and distributed among 385 apparel buyers in the networks. For data analysis, structural equation method and to examine the mediating role, Sobel test were used. The results showed that friends' recommendations, affirmation of others, and social conditions have a significant effect on the trust of individuals in social networks, and the trust of individuals has a significant effect on the consumer's willingness to buy clothing through social networks

Vibrio cholerae toxin coregulated pilus provokes inflammatory responses in Coculture model of Caco-2 and peripheral blood mononuclear cells (PBMC) leading to increased colonization

The aim of this study was to assess the modulatory effect of TcpA in the expression of CEACAM1 adhesin molecule and IL-1, IL-8, and TNF-α pro-inflammatory cytokines in the Coculture model of Caco-2/PBMC (peripheral blood mononuclear cell) that can mimic the intestinal milieu. The TcpA gene from Vibrio cholerae ATCC14035 was cloned in pET-28a and transformed into Escherichia coli Bl-21. The recombinant TcpA-His6 protein was expressed and purified using Ni-column chromatography. The sequencing of transformed plasmid and Western blot analysis of purified protein confirmed the identity of rTcp. The cytotoxicity of different concentrations of recombinant protein for human colon carcinoma cell line (human colorectal adenocarcinoma cell Caco-2 cell) was assessed by MTT assay and showed viability of 92%, 82%, and 70%, for 10 µg/mL of TcpA after 24, 48, and 72 h, respectively. Co-cultures of Caco-2 and PBMCs were used to mimic the intestinal milieu and treated with different concentrations of rTcpA (1, 5, 10, and 50 µg/mL). Our data showed about 2.04-, 3.37-, 3.68-, and 42.7-fold increase in CEACAM1 gene expression, respectively, compared with the nontreated Caco-2/PBMC Coculture. Moreover, the expression of IL-1, IL-8, and TNF-α genes was significantly increased up to 15.75-, 7.04-, and 80.95-folds, respectively. In conclusion, V. cholerae TcpA induces statistically significant dose-dependent stimulatory effect on TNF-α, IL-,1, and IL-8 pro-inflammatory cytokines expression. Of these, TNF-α was much more affected which, consequently, elevated the CEACAM1 expression level in IECs. This suggests that TcpA protein is a critical effector as an inducer of increased adhesion potential of V. cholera as well as inflammatory responses of host intestinal tissue. © 2021 The Societies and John Wiley & Sons Australia, Lt

A Representational MDL Framework for Improving Learning Power of Neural Network Formalisms

Part 3: Artificial Neural NetworksInternational audienceMinimum description length (MDL) principle is one of the well-known solutions for overlearning problem, specifically for artificial neural networks (ANNs). Its extension is called representational MDL (RMDL) principle and takes into account that models in machine learning are always constructed within some representation. In this paper, the optimization of ANNs formalisms as information representations using the RMDL principle is considered. A novel type of ANNs is proposed by extending linear recurrent ANNs with nonlinear “synapse to synapse” connections. Most of the elementary functions are representable with these networks (in contrast to classical ANNs) and that makes them easily learnable from training datasets according to a developed method of ANN architecture optimization. Methodology for comparing quality of different representations is illustrated by applying developed method in time series prediction and robot control

A real-time video quality estimator for emerging wireless multimedia systems

Wireless Mesh Networks (WMNs) are increasingly deployed to enable thousands of users to share, create, and access live video streaming with different characteristics and content, such as video surveillance and football matches. In this context, there is a need for new mechanisms for assessing the quality level of videos because operators are seeking to control their delivery process and optimize their network resources, while increasing the user’s satisfaction. However, the development of in-service and non-intrusive Quality of Experience assessment schemes for real-time Internet videos with different complexity and motion levels, Group of Picture lengths, and characteristics, remains a significant challenge. To address this issue, this article proposes a non-intrusive parametric real-time video quality estimator, called MultiQoE that correlates wireless networks’ impairments, videos’ characteristics, and users’ perception into a predicted Mean Opinion Score. An instance of MultiQoE was implemented in WMNs and performance evaluation results demonstrate the efficiency and accuracy of MultiQoE in predicting the user’s perception of live video streaming services when compared to subjective, objective, and well-known parametric solutions