a pvc membrane ni(ii) ion selective electrode has been constructed using (1e,2e)-bis(2-aminophenyl)n'1,n'2-dihydroxyethanebis as membrane carrier. the electrode exhibited a goodpotentiometric response for ni(ii) over a wide concentration range 1.0×10-4 to 1.0×10-1m with aslope of 29.4±0.5 mv/decade a and a working ph range of 6.5-9.0. it had a fast response time of≤20s. the best performance was...

a pvc membrane ni(ii) ion selective electrode has been constructed using (1e,2e)-bis(2-aminophenyl)n'1,n'2-dihydroxyethanebis as membrane carrier. the electrode exhibited a goodpotentiometric response for ni(ii) over a wide concentration range 1.0×10-4 to 1.0×10-1m with aslope of 29.4±0.5 mv/decade a and a working ph range of 6.5-9.0. it had a fast response time of≤20s. the best perfo...

We propose EpiViz, a new visualization tool for genomic and epigenetic data. This tool focuses on the correlation between different types of measurements, as well as different views of the same data, to provide insights over the information contained in the actual data. Nine researchers in computational biology evaluated this application. The positive results suggest its promising early adoption.

we introduce a two generated weakly branch contracting automaton group $g$ which is generated by a two state automaton on a three letter alphabet. using its branch structure and the finiteness nature of a sequence of its factor groups we compute the order of some of these factors. furthermore some algebraic properties of $g$ are detected .

We introduce a two generated weakly branch contracting automaton group $G$ which is generated by a two state automaton on a three letter alphabet. Using its branch structure and the finiteness nature of a sequence of its factor groups we compute the order of some of these factors. Furthermore some algebraic properties of $G$ are detected .

artificial intelligence (ai) techniques offer powerful objective algorithms foranalysis of multimodal and high-dimensional data. recently, these techniques havebecome a reliable tool in the medical domain. this paper describes an efficienttechnique for building an application that is capable of forecasting and classifyinghealthcare information using machine learning as a subfield of ai methods....

Hang Zhang, Xiao-Jun Tian, Abhishek Mukhopadhyay, Kenneth S. Kim, Jianhua Xing 1, Department of Biological Sciences, Virginia Tech, Blacksburg, Virginia, 24061-0406, USA 2, Department of Physics, Virginia Tech, Blacksburg, Virginia, 24061-0406, USA 3, Lawrence Livermore National Laboratory and University of California, Livermore, California, USA 4, Beijing Computational Science Research Center,...