221 research outputs found
The possible impact of sortilin in reducing HBsAg expression in chronic hepatitis B
Hepatitis B virus (HBV) infection is a major global health problem. Chronically infected people are at risk for progressive hepatic fibrosis and consequent cirrhosis. Hepatitis B surface antigen (HBsAg) level in serum is a complementary marker for intrahepatic HBV DNA and covalently closed circular DNA (cccDNA). Sortilin-1 (SORT1) has been reported to be involved in the post-Golgi vesicle trafficking of Apo lipoproteins degradation pathways. This study was designed to evaluate the hepatic and serum expression of HBsAg and its association with hepatic SORT1 gene expression in patients with chronic HBV. Thirty chronic hepatitis B patients with histological examination results were enrolled in this study. Liver biopsies were analyzed for hepatic HBsAg and SORT1 gene expression by immunohistochemistry and quantitative real time PCR (qRT-PCR), respectively. Twenty seven out of 30 (90%) liver biopsies had positive staining for HBsAg and showed a significant inverse association with hepatic SORT1 fold change gene expression (β=-0.5, P=0.042). There was significant association between HBV DNA levels and HBsAg expression in hepatocyte or serum titer of HBsAg (r=0.39, P=0.029; r=0.39, P=0.032 respectively). Serum ALT was also correlated with hepatic activity index (HAI) score (β=0.6, P=0.001). Inverse association between hepatic SORT1 gene expression and hepatic HBsAg expression indicates the possible role of sortilin in HBsAg particle formation. © 2016 Wiley Periodicals, Inc
Validation techniques of agent based modelling for geospatial simulations
One of the most interesting aspects of modelling and simulation study is to describe the real world phenomena that have specific properties; especially those that are in large scales and have dynamic and complex behaviours. Studying these phenomena in the laboratory is costly and in most cases it is impossible. Therefore, Miniaturization of world phenomena in the framework of a model in order to simulate the real phenomena is a reasonable and scientific approach to understand the world. Agent-based modelling and simulation (ABMS) is a new modelling method comprising of multiple interacting agent. They have been used in the different areas; for instance, geographic information system (GIS), biology, economics, social science and computer science. The emergence of ABM toolkits in GIS software libraries (e.g. ESRI’s ArcGIS, OpenMap, GeoTools, etc) for geospatial modelling is an indication of the growing interest of users to use of special capabilities of ABMS. Since ABMS is inherently similar to human cognition, therefore it could be built easily and applicable to wide range applications than a traditional simulation. But a key challenge about ABMS is difficulty in their validation and verification. Because of frequent emergence patterns, strong dynamics in the system and the complex nature of ABMS, it is hard to validate and verify ABMS by conventional validation methods. Therefore, attempt to find appropriate validation techniques for ABM seems to be necessary. In this paper, after reviewing on Principles and Concepts of ABM for and its applications, the validation techniques and challenges of ABM validation are discussed
Investigation of Qualitative Condition of Nekarud River and Tajan River by NSFWQI Index
Rivers are exposed to large amounts of impurities. The first step for keeping river water quality and purification of polluted parts is obtaining information on the qualitative changes of river water in dimensions of time and place and also, determination of major sources and various water pollutants. Analysis of measured parameters alone or in combination, give in complete information on water quality because of variety of parameters, samples and stations. WQI is a mathematical and statistical tool for conversion of quantitative values of large quantity of water quality data into single number which presents a simple and understandable tool for qualitative assessment. Samples were collected seasonally from stations at upstream, middle stream and downstream of two rivers in east of Mazandaran province (Nekarud River, Tajan River) in a 2 years interval of 2011-2012 years, and analyzed in laboratory of Environmental Protection agency of Mazandaran according to standard methods. The values of NSFWQI (water quality index ofAmerica’s national health organization) were calculated for all stations and all of the stations were located on the level of unsuitable conditions. The condition of Tajan River was relatively better than Nekarud River due to lower residential villages and towns around the river
Investigation of Qualitative Condition of Nekarud River and Tajan River by NSFWQI Index
Rivers are exposed to large amounts of impurities. The first step for keeping river water quality and purification of polluted parts is obtaining information on the qualitative changes of river water in dimensions of time and place and also, determination of major sources and various water pollutants. Analysis of measured parameters alone or in combination, give in complete information on water quality because of variety of parameters, samples and stations. WQI is a mathematical and statistical tool for conversion of quantitative values of large quantity of water quality data into single number which presents a simple and understandable tool for qualitative assessment. Samples were collected seasonally from stations at upstream, middle stream and downstream of two rivers in east of Mazandaran province (Nekarud River, Tajan River) in a 2 years interval of 2011-2012 years, and analyzed in laboratory of Environmental Protection agency of Mazandaran according to standard methods. The values of NSFWQI (water quality index ofAmerica’s national health organization) were calculated for all stations and all of the stations were located on the level of unsuitable conditions. The condition of Tajan River was relatively better than Nekarud River due to lower residential villages and towns around the river
Environmental engineering applications of electronic nose systems based on MOX gas sensors
Nowadays, the electronic nose (e-nose) has gained a huge amount of attention due to its
ability to detect and differentiate mixtures of various gases and odors using a limited number of sensors.
Its applications in the environmental fields include analysis of the parameters for environmental
control, process control, and confirming the efficiency of the odor-control systems. The e-nose has
been developed by mimicking the olfactory system of mammals. This paper investigates e-noses
and their sensors for the detection of environmental contaminants. Among different types of gas
chemical sensors, metal oxide semiconductor sensors (MOXs) can be used for the detection of volatile
compounds in air at ppm and sub-ppm levels. In this regard, the advantages and disadvantages
of MOX sensors and the solutions to solve the problems arising upon these sensors’ applications
are addressed, and the research works in the field of environmental contamination monitoring are
overviewed. These studies have revealed the suitability of e-noses for most of the reported applications,
especially when the tools were specifically developed for that application, e.g., in the facilities
of water and wastewater management systems. As a general rule, the literature review discusses the
aspects related to various applications as well as the development of effective solutions. However,
the main limitation in the expansion of the use of e-noses as an environmental monitoring tool is
their complexity and lack of specific standards, which can be corrected through appropriate data
processing methods applications
A Novel Combination of Surfactant Addition and Persulfate-assisted Electrokinetic Oxidation for Remediation of Pyrene-Contaminated Soil
Effect of surfactant addition on persulfate-assisted electrokinetic remediation of pyrene-spiked soil was studied. The influence of effective factors including voltage, surfactant addition, moisture content, and persulfate concentration on the removal of initial pyrene concentration of 200 mg kg–1 were investigated. A complete pyrene removal was observed for voltage of 1 V cm–1, saturated conditions, Tween 80 concentration of 20 mL kg–1, and persulfate concentration of 100 mg kg–1 after 24 h, corresponding to pyrene mineralization of 61 %, based on TPH analysis. The experimental results were best fitted with pseudo-first-order kinetic model with correlation coefficient of 0.968 and rate constant of 0.191 min−1. The main intermediates of pyrene degradation were benzene o-toluic acid, acetic, azulene, naphthalene and decanoic acid. Finally, an unwashed hydrocarbon-
contaminated soil was subjected to persulfate-assisted electrokinetic
remediation, and a TPH removal of 38 % was observed for the initial TPH content of 912 mg kg–1, under the selected conditions.
This work is licensed under a Creative Commons Attribution 4.0 International License
Homozygous microdeletion of exon 5 in ZNF277 in a girl with specific language impairment
Peer reviewedPublisher PD
Designing Environmental Sounds Based on the Results of Interaction Between Objects in the Real World
Prevalence and risk factors for HBV and HCV in prisoners in Iran: a national bio-behavioural surveillance survey in 2015
Objectives: To provide more accurate estimates of the prevalence of Hepatitis B (HBV) and Hepatitis C (HCV) and their contributing factors among prisoners in Iran. Methods: Cross-sectional study of 6200 Iranian prisoners in 2015. Data were collected through questionnaires and interviews. HBV infection and HCV exposure status of the participants was determined by HBsAg and HCV antibodies blood tests using enzyme-linked immunosorbent assay (ELISA). Data were analysed in STATA-12. Result: Prevalence of HCV exposure was 9.48 (95 CI: 8.73�10.27), and prevalence of HBV was 2.48 (95 CI: 2.07�2.89) in the general prison population. In multivariate analysis, the most important risk factor for HBV was a history of drug use in lifetime (adjusted odds ratio, AOR: 1.8, 95 CI: 1.17�3.02). The main risk factors for HCV exposure were a history of drug use in lifetime (AOR: 4.08, CI: 2.56�6.27), age over 30 (AOR: 2.68, CI: 2.01�3.56), and having tattoos (AOR = 1.67, CI: 1.35�2.07). Conclusion: Although vaccination is used to control HBV among prisoners, prevalence of HCV exposure is alarming in the prison population of Iran, especially among people who inject drugs. Eliminating viral hepatitis in Iran by 2030 requires a national commitment and rapid measures for targeting this high-risk group. Given the increased efficiency of HCV treatment in recent years, prisons provide an opportunity to access patients for treatment. © 2018 John Wiley & Sons Lt
- …