Graduate University of Advanced Technology

About: Graduate University of Advanced Technology is a education organization based out in Kerman, Iran. It is known for research contribution in the topics: Carbon paste electrode & Electrochemical gas sensor. The organization has 890 authors who have published 2169 publications receiving 31027 citations.

A Clustering Algorithm for Communication-Aware Scheduling of Task Graphs on Multi-Core Reconfigurable Systems

Abstract: In this paper, a clustering algorithm called the Reconfigurable Dominant Sequence Clustering (ReDSC), is proposed. The experiments show that ReDSC reduces the parallel run time efficiently by 30 percent. Moreover, an empirical comparison of ReDSC with its peer in the multi-processor model, i.e., DSC algorithm, is provided and the results demonstrate the 35 percent improvement of ReDSC over DSC. Then, a hardware implementation of a dynamic scheduler for run-time communication-aware scheduling of hardware tasks is proposed. The proposed scheduler makes use of the ReDSC algorithm for allocating tasks to the processing reconfigurable cores, dynamically considering the communication costs. The simulation results illustrate the benefits of the proposed scheduler as compared to that of other static and basic schedulers in the technical literature.

Ameliorative effects of 24-epibrassinolide and thiamine on excess cadmium-induced oxidative stress in Canola (Brassica napus L.) plants

Abstract: The present research investigates the interactive effects of 24-epibrassinolide (0, 0.02 and 0.5 µM) plus thiamine (0 and 200 µM) treatments on some of physio-biochemical parameters in Brassica nap...

An analytical algorithm for designing radon monitoring network to predict the location and magnitude of earthquakes

Abstract: Continuous radon monitoring in soil and groundwater is one of the useful methods in earthquake prediction process. There are many published studies on geochemical precursors to seismic activity, both reporting the detection of validated precursory phenomena. The research on geochemical precursory algorithms is aimed at defining quantitative relations between seismogenic parameters and endogenetic components. This paper presents a new analytical algorithm that can be used to estimate optimum location and magnitude of coming earthquakes based on variations in radon concentration or any other geochemical precursors. In a real life application of this algorithm, radon monitoring network for Kerman province has been designed and the resulting data have been investigated. This practical example corroborates the proposed algorithm as well and the resulting seismogenic parameters e.g. location and magnitude have been obtained within their acceptable ranges. Furthermore, the proposed algorithm emphasizes on hot-springs which have the most effect on results around target zone.

Distinctive expression pattern of OCT4 variants in different types of breast cancer.

Abstract: Background OCT4 is a key regulator of self-renewal and pluripotency in embryonic stem cells which can potentially encode three spliced variants designated OCT4A, OCT4B and OCT4B1. Based on cancer stem cell concept, it is suggested that the stemness factors misexpressed in cancer cells and potentially is involved in tumorigenesis. Objective Accordingly, in this study, we investigated the potential expression of OCT4 variants in breast cancer tissues. Methods A total of 94 tumoral and peritumoral breast specimens were evaluated with respect to the expression of OCT4 variants using quantitative RT-PCR and immunohistochemical (IHC) analysis. Results We detected the expression of OCT4 variants in breast tumor tissues with no or very low levels of expression in peritumoral samples of the same patients. While OCT4B was highly expressed in lobular type of breast cancer, OCT4A and OCTB1 variants are highly expressed in low grade (I and II) ductal tumors. Furthermore, the results of this study revealed a considerable association between the expression level of OCT4 variants and the expression of ER, PR, Her2 and P53 factors. Conclusions All data demonstrated a distinctive expression pattern of OCT4 spliced variants in different types of breast cancer and provide further evidence for the involvement of embryonic genes in carcinogenesis.