We prepare and investigate two-dimensional (2D) single-layer arrays and multilayered networks of gold nanoparticles derivatized with conjugated hetero-aromatic molecules, i.e., S-(4-{[2,6-bipyrazol-1-yl)pyrid-4-yl]ethynyl}phenyl)thiolate (herein S-BPP), as capping ligands. These structures are fabricated by a combination of self-assembly and microcontact printing techniques, and are characteriz...

The Polymer Electrolyte Membrane Fuel Cell (PEMFC), despite being regarded as an ideal replacement to the internal combustion engine, is still not an economically attractive pri-mover due to a number of key challenges that have yet to be fully resolved; some of which include degradation to cell components resulting in inadequate lifetimes, specialised and costly manufacturing processes and poor...

BACKGROUND AND AIM Estimation of a PET tracer's non-displaceable distribution volume (VND) is required for quantification of specific binding to its target of interest. VND is generally assumed to be comparable brain-wide and is determined either from a reference region devoid of the target, often not available for many tracers and targets, or by imaging each subject before and after blocking t...

Load forecasting is the technique for prediction of electrical load. In a deregulated market it is much need for a generating company to know about the market load demand for generating near to accurate power. If the generation is not sufficient to fulfil the demand, there would be problem of irregular supply and in case of excess generation the generating company will have to bear the loss. Ne...

1. Introduction Component Based Software Engineering (CBSE) is emerging as a paradigm for the development of large complex software systems. CBSE promises to yield cheaper and higher quality assembled systems by reusing configurable generic components that were developed separately [5]. UML 2.0 has extended and improved the representation of components and component-based systems. In UML 2.0, a...

AUTOMATIC SPEAKER IDENTIFICATION USING REUSABLE AND RETRAINABLE BINARY-PAIR PARTITIONED NEURAL NETWORKS Ashutosh Mishra Old Dominion University May 2003 Director: Dr. Stephen A. Zahorian This thesis presents an extension of the work previously done on speaker identification using Binary Pair Partitioned (BPP) neural networks. In the previous work, a separate network was used for each pair of sp...

Predictions about sensations resulting from motor acts are instantiated through neural mechanisms such as the corollary discharge. With each action, the corollary discharge provides an unconscious comparison between predicted and actual sensations resulting from the action; closer matches result in greater suppression of sensation. This mechanism is disrupted in schizophrenia (SZ) and may contr...

We show that for determinictic polynomial time computation, oracle access to APP, the class of real functions approximable by probabilistic Turing machines, is the same as having oracle access to promise-BPP. First we construct a mapping that maps every function in APP to a promise problem in prBPP, and that maps complete functions to complete promise problems. Then we show an analogue result i...

We consider three connected resource-constrained optimization problems: 1D bin packing (BPP), resource-constrained project scheduling (PSP), and 2D strip packing without rotation (SPP). In the context of SPP, BPP is also known as the 1D bar relaxation and PSP as the 1D contiguous relaxation. It is easy to see that SPP can be relaxed in two different ways down to a PSP: horizontal and vertical s...

As in the case of BPP, we can reduce the error probability of any MA protocol to be less than an inverse exponential in the input size. Here’s how. Let L ∈ MA be any language. Let R(x, y, z) be a polytime relation for L such that, for every x ∈ L, there is a y with Prz[R(x, y, z) = 1] ≥ 3/4; and for every x 6∈ L, for every y, it holds that Prz[R(x, y, z) = 1] ≤ 1/4. Consider a new protocol wher...