Selenium-coated carbon electrode for anodic stripping voltammetric determination of copper(II)

In this work, we describe a new and promising type of selenium film electrode for anodic stripping voltammetry. This method is based on formation of copper selenide onto an in-situ formed selenium-film carbon electrode, this followed by Osteryoung square-wave anodic stripping voltammetry. Copper(II) is also in-situ electroplated in a test solution containing 0.01 mol L-1 hydrochloric acid, 0.05 mol L-1 potassium chloride and 500 μg L-1 Se(IV) at a deposition potential of −300 mV. Well-defined anodic peak current observed at about 200 mV is directly proportional to the Cu(II) concentration over the range of 1.0─100 μg L-1 under the optimized conditions. The detection limit (3 sigma level) is 0.2 μg L-1 Cu(II) at 180 s deposition time. Relatively less interferences are shown from most of metal ions except for antimony(III). The proposed method can be applied to sample analyses of river water and oyster tissue with good accuracy

Extension of operational regime in high-temperature plasmas and effect of ECRH on ion thermal transport in the LHD

A simultaneous high ion temperature (Ti) and high electron temperature (Te) regime was successfully extended due to an optimized heating scenario in the LHD. Such high-temperature plasmas were realized by the simultaneous formation of an electron internal transport barrier (ITB) and an ion ITB by the combination of high power NBI and ECRH. Although the ion thermal confinement was degraded in the plasma core with an increase of Te/Ti by the on-axis ECRH, it was found that the ion thermal confinement was improved at the plasma edge. The normalized ion thermal diffusivity ${{\chi}_{\text{i}}}/T_{\text{i}}^{1.5}$ at the plasma edge was reduced by 70%. The improvement of the ion thermal confinement at the edge led to an increase in Ti in the entire plasma region, even though the core transport was degraded

PROCEDURES FOR MULTIPLE INPUT FUNCTIONS WITH DNA MOLECULES

In recent works for high performance computing, computation with DNA molecules, that is, DNA computing, has been receiving considerable attention as an alternative for silicon based computers. In this paper, we propose two procedures for computing multiple input functions. We first propose a simple procedure for computing AND function. The procedure runs in O(1) steps using O(mn) DNA strands for n binary numbers of m bits. The procedure is also applicable to other simple logic functions, such as OR, NAND and NOR. We next propose a procedure for EX-OR function. The procedure runs in O(1) steps using O(mn2) DNA strands, and is also applicable to other functions, such as majority and threshold functions

Procedures for Computing the Maximum with DNA

In recent works for high performance computing, computation with DNA strands,that is, DNA computing, has considerable attention as one of non-silicon based computing.In this paper, we propose three procedures for computing the maximum of n binarynumbers of m bits, which are represented with O(mn) DNA strands. The first procedurecomputes the maximum of the binary numbers in O(m) steps using O(n) kinds of DNAstrands. The second and third procedures also compute the maximum in O(log n) andO(1) steps using O(mn) and O(mn2) kinds of DNA strands, respectively

Procedures for Multiple Input Functions with DNA Molecules

In recent works for high performance computing, computation with DNA molecules,that is, DNA computing, has been receiving considerable attention as an alternativefor silicon based computers. In this paper, we propose two procedures for computingmultiple input functions. We first propose a simple procedure for computing ANDfunction. The procedure runs in O(1) steps using O(mn) DNA strands for n binarynumbers of m bits. The procedure is also applicable to other simple logic functions,such as OR, NAND and NOR. We next propose a procedure for EX-OR function. Theprocedure runs in O(1) steps using O(mn2) DNA strands, and is also applicable to otherfunctions, such as majority and threshold functions

Procedures for Computing the Maximum with DNA

In recent works for high performance computing, computation with DNA strands,that is, DNA computing, has considerable attention as one of non-silicon based computing.In this paper, we propose three procedures for computing the maximum of n binarynumbers of m bits, which are represented with O(mn) DNA strands. The first procedurecomputes the maximum of the binary numbers in O(m) steps using O(n) kinds of DNAstrands. The second and third procedures also compute the maximum in O(log n) andO(1) steps using O(mn) and O(mn2) kinds of DNA strands, respectively