2,018 research outputs found
Comparative performance analysis of empirical propagation models for LoRaWAN 868 MHz in an urban scenaro
Evaluation of a self-equilibrium cutting strategy for the contour method of residual stress measurement
An assessment of cutting-induced plasticity (CIP) is performed, by finite element (FE) prediction of the plastic strain accumulation along the cut tip when the EDM wire sections the NeT TG4 weld benchmark specimen along two cutting directions. The first direction corresponds to a conventional (C) cutting strategy, whereby the EDM wire cuts through the thickness of the weld specimen and travels in a direction transverse to the weld. The second direction corresponds to a self-equilibrating cutting (SE) strategy, whereby the EDM wire cuts across the transverse direction of the weld specimens and travels through the thickness of the plate. The cutting thus progresses simultaneously through the compression-tension-compression regions of present weld residual stress (WRS) field. This type of cutting strategy is believed to minimize the CIP by minimising residual stress redistribution during cutting, due to stress equilibration across the sectioned material. The simulated cutting procedures are conducted under a range of clamping conditions to assess whether mechanical restraint has a primary or secondary influence on CIP accumulation. Both predictions of CIP and the resultant back-calculated WRS demonstrate that (i) mechanical restraint is the primary variable influencing CIP development, and (ii) under no circumstance does a self-equilibrating cutting strategy perform significantly better than a conventional cutting approach. The reason that self-equilibrating cuts are not effective is illustrated by calculating the Mode I (KI) stress intensity factor (SIF) along the cut tip, and correlating trends in KI to CIP development
Evaluation of prevalence and risk factors of hepatitis G virus infection among hemodialysis patients referred to Iranian Army Hospitals in Tehran during 2012-2013
Background: GB virus C (GBV-C) or hepatitis G virus (HGV) is a newly discovered and enveloped RNA positive-stranded flavivirus-like particle, which has not yet been proven to have major negative effects on liver. Objectives: Increasing the risk of blood-borne infections in hemodialysis patients is a main health care concern in different countries. Therefore, it is important to estimate the prevalence and risk factors of hepatitis G virus infection in Iranian hemodialysis patients to design standard prevention and treatment plans. Patients and Methods: In this multicenter observational or epidemiologic study, 138 patients who underwent hemodialysis in Iranian Army hospitals in Tehran were included. Serum HIV antibody (Ab), HCV antibody and HBS antigen (Ag) were assessed. Demographic data such as gender, age, blood group, cause of renal failure, dialysis onset and duration were collected from medical files. GBV-C/HGV was evaluated by nested reverse transcription polymerase chain reaction (RT-PCR) method. Then, all data were analyzed by SPSS ver. 13. Results: In total, 81 males and 57 females were included. The mean age of patients was 62.16 ± 14.86 years. Six (4.3) had positive results for GBV-C/HGV by RT-PCR. Except gender (P = 0.045) and duration of dialysis in a week (P 0.05). All patients had negative results for HIV Ab, HCV Ab and HBS Ag. Conclusions: Overall, 4.3 of patients had positive results for GBV-C/HGV and all negative for HIV, HCV and HBV. Further studies are needed to elucidate real prevalence, risk factors and characteristics of HGV infection in Iranian hemodialysis patients. © 2015, Kowsar Corp
Growth performance of rainbow trout (Oncorhynchus mykiss) with respect to nutritional factors in north Iran (Haraz River)
Monthly samples of six fish farms from January 2010 to December 2010 in the northern Iran, Haraz River, were used to determine relationship between chemical parameters of main water, inlet and outlet and their effects on fish growth and production. Results revealed that concentration of nutrients in outlet was more than that of inlet of farms, and statistical analysis showed that there were significant differences between stations (p0.05) in different months. Correlation between daily growth, SGR, FCR, production and chemical parameters of water were analyzed by Pearson correlation. The results revealed negative correlation (α= 0.01) between nitrite and daily growth (P=0.004, Pearson correlation=-0.24), ammonium and SGR (P=0.0001, Pearson correlation=-0.272), although there were no correlation for FCR, and nutritional parameters (p>0.05)
- …