. The predictions that follow from this analysis are seen to be in close agreement with the behaviour exhibited during simulation studies. 1.

dependence of hydrogen bonding energetics by combining two quite disparate but complementary approaches: quantum mechanical electronic structure calculations and protein structural analysis. We find a remarkable agreement between the energy landscapes obtained from the electronic structure calculations

The ’t Hooft expansion of SU(N) Chern-Simons theory on S3 is proposed to be exactly dual to the topological closed string theory on the S2 blow up of the conifold geometry. The B-field on the S2 has magnitude Ngs = λ, the ’t Hooft coupling. We are able to make a number of checks, such as finding

Many adaptive neural network theories are based on neuronlike adaptive elements that can behave as single unit analogs of associative conditioning. In this article we develop a similar adaptive element, but one which is more closely in accord with the facts of animal learning theory than elements

design criteria for reducing close-in phase noise by identifying the mechanisms by which intrinsic device noise and external noise sources contribute to the total phase noise. In particular, it explains the details of how 1=f noise in a device upconverts into close-in phase noise and identifies methods

and their manually delineated counterparts generally show close agreement, indicating that these software tools will save analyst time spent in manual interpretation and digitizing.

of input weights to each gene is close to zero, i.e. there seem to be no genes that are primarily positively or negatively influenced by other genes. However, the sum of output weights from each gene varies more widely, with a standard deviation that is almost a magnitude larger than for the sum of input

in the tropics and East Asia are the major source regions 18, 19 Full size image (16 KB) Their concentrations peak close to major source regions and give rise to regional hotspots of BC-induced atmospheric solar heating Radiative forcing of the climate system Solar absorption by BC increases inversely

Abstract Consider two parties holding samples from correlated distributions W and W ′ , respectively, that are within distance t of each other in some metric space. These parties wish to agree on a uniformly distributed secret key R by sending a single message over an insecure channel controlled by an all-powerful adversary. We consider both the keyless case, where the parties share no additional secret information, and the keyed case, where the parties share a long-term secret SK that they can use to generate a sequence of session keys {R j } using multiple pairs {(W j , W ′ j )}. The former has applications to, e.g., biometric authentication, while the latter arises in, e.g., the bounded storage model with errors. Our results improve upon previous work in several respects: • The best previous solution for the keyless case with no errors (i.e., t = 0) requires the min-entropy of W to exceed 2n/3, where n is the bit-length of W . Our solution applies whenever min-entropy of W exceeds the minimal possible threshold n/2, and yields a longer key. • Previous solutions for the keyless case in the presence of errors (i.e., t > 0) required random oracles. We give the first constructions (for certain metrics) in the standard model. • Previous solutions for the keyed case were stateful. We give the first stateless solution.

The factor analysis literature includes a range of recommendations regarding the minimum sample size necessary to obtain factor solutions that are adequately stable and that correspond closely to population factors. A fundamental misconception about this issue is that the minimum sample size