Survey of Bacteriological Quality of the Drinking Water in Rural Areas of Saqqez City

"n "nBackgrounds and Objectives:Safe drinking water providing is one of the main purposes in the community. Development and improvement of community is related to the public health. In this study !we studied the bacteriological quality of 116 villages under coverage of the water and wastewater companies in rural areas of Saqqez in.1386"nMaterial and Methods:Drinking water of these rural areas have provided of deep, semi-depth- wells and spring water sources. Because in numerous rural areas both sources of drinking water and in some of them different sources of drinking water were used (old and new storage water source), in general, 359 samples were collected and transferred to the laboratory for testing to evaluate its quality. We also used linear Regression statistical analysis for collected data."nResults:results show that residual chlorine in drinking water in 33.88 percent of rural areas population were in range 0.2-1 mg/l. For 98.3 percent of the seqqez rural population, the turbidity was lower than the maximum permissible levels of drinking water standards of Iran (5 NTU). There was no any E.coli contamination in 88 percent of drinking water in saqqez rural areas."nConclusion:Based on WHO guidelines concerning the microbial quality of water published in 2006! the average indicator for lack of E.coli in water of rural areas of seqqez was 88 percent and water is safe or good for drinking

Assessment of working interactions of emergency team members using social network analysis

Introduction: Emergency situations are of the major challenges in industries. Understading the status of inter-team interaction is effective in improvement of emergency response team (ERT). The purpose of this study was to investigate the interaction space of ERP in a refinery, using the social network analysis (SNA). .Methods and Materials: In the present case study, the density indicator was used to examine the interaction space in the ERT. The obtained data were analyzed, employing UCINET 6.0 social network analysis program. .Results: The findings showed that the ERT has the relatively low concentration with the density of 0.2 overall, the result reflect a low level of interactions among response reams at emergency situations management. .Conclusion: The presented approach provided an appropriate image of interactions network among the emergency response teams. The social network analysis can be used for assessing the interactions of the emergency response teams

High prevalence of multidrug-resistant strains of Vibrio cholerae, in a cholera outbreak in Tehran�Iran, during June�September 2008

Following the occurrence of suspected cases of Vibrio cholerae in Karaj in 2008, this study was conducted in order to determine whether or not the cases were infected with cholera and, if so, to describe the prevalence of serotypes, route of transmission and the antimicrobial resistance profile. In this cross-sectional study, 6505 rectal swabs were collected from patients with acute gastroenteritis. Serotypes and biotypes of the isolates were determined by standard procedures. The antimicrobial susceptibility of 45 Inaba and 30 non-agglutinating (NAG) strains was determined. From 6505 specimens, 110 (1.69) were defined as V. cholerae, including 70 (63.3) V. cholerae O1 serotype Inaba biotype El Tor and 40 (36.4) NAG Vibrios. The case fatality rate was 0.9. Inaba strains were 100 resistant to nalidixic acid and amoxicillin, 95.7 resistant to trimethoprim-sulfamethoxazole, 91.3 resistant to furazolidone while the highest frequency of resistance in NAG Vibrios was 77.4 to erythromycin. The lowest resistance rate belonged to ciprofloxacin to which just one NAG strain was resistant. Results suggests an increase in resistance of V. cholerae to several antibiotics. Ciprofloxacin can still be used as first-line treatment of cholera in this region. © 2010, SAGE Publications. All rights reserved

Thermodynamic and anticancer properties of inorganic zinc oxide nanoparticles synthesized through co-precipitation method

In this paper, inorganic zinc oxide nanoparticles (ZnO NPs) were synthesized through co-precipitation method and after evaluating their physicochemical properties by using TEM and XRD techniques, the bio-thermodynamic and structural parameters upon interaction of ZnO NPs with human serum albumin (HSA) were determined by using fluorescence, UV?vis, CD and molecular docking studies. Also, the selective anticancer effects of ZnO NPs on leukemia (K562) cells were explored by using different cellular and molecular assays. It was determined that the crystalline structure of ZnO NPs has a diameter of about 30 nm. Thermodynamic parameters and docking analysis indicated that the hydrophobic forces mediate the formation of static complex between ZnO NPs and HSA molecules. UV?vis and CD spectroscopic methods showed that the melting temperature (Tm) and secondary structure of HSA, respectively remain substantially unchanged by increase of ZnO NPs. Anticancer assays demonstrated that ZnO NPs trigger an inhibitory impact on the proliferation of K562 cells while being safe against lymphocyte normal cells. Exposure of K562 cells to ZnO NPs resulted in membrane leakage, activation of caspase-9, -3, overexpression of Bax/Bcl-2 mRNA ratio, increase in the level of ROS, cell cycle arrest, and apoptosis/necrosis. In conclusion, it may be suggested that ZnO NPs can be utilized as potential agents in the development of anticancer platforms.Scopu

Recent progress and future trends on damage identification methods for bridge structures

Damage identification forms a key objective in structural health monitoring. Several state-of-the-art review papers regarding progress in this field up to 2011 have been published. This paper summarizes the recent progress between 2011 and 2017 in the area of damage identification methods for bridge structures. This paper is organized based on the classification of bridge infrastructure in terms of fundamental structural systems, namely, beam bridges, truss bridges, arch bridges, cable-stayed bridges, and suspension bridges. The overview includes theoretical developments, enhanced simulation attempts, laboratory-scale implementations, full-scale validation, and the summary for each type of bridges. Based on the offered review, some challenges, suggestions, and future trends in damage identification are proposed. The work can be served as a basis for both academics and practitioners, who seek to implement damage identification methods in next-generation structural health monitoring systems