Ab stract Adopt ing a ma te ri al ist ap proach to the mind has far reach ing im pli ca tions for many pre sup po si tions re gard ing the prop er ties of the brain, in clud ing those that have tra di tion ally been con signed to “the men tal” as pect of hu man be ing. One such pre sup po si tion is the con cep tion of the dis em bod ied self. In this ar ti cle we aim to ac count for the self a...

Composition of low-dimensional distribu­ tions, whose foundations were laid in the pa­ per published in the Proceedings of UAI'97 (Jirousek 1997), appeared to be an alterna­ tive apparatus to describe multidimensional probabilistic models. In contrast to Graphi­ cal Markov Models, which define multidimen­ sional distributions in a declarative way, this approach is rather procedural. Ordering of...

The control of the A/B comonomer distribution over individual chains targeting block and/or gradient monomer distributions is essential to macroscopic properties resulting copolymers. Matrix-based kinetic Monte Carlo simulations allow compare each chain a representative copolymer sample with desired (mathematical) composition, as defined by inclusion probabilities (PA/B) taking B-functionalizat...

In this paper, electromagnetic scattering problems are analyzed using an electric field integral equation (EFIE) formulation that is based on loop-star basis functions so as to avoid low-frequency instability problems. Moreover, to improve the convergence rate of iterative methods, a block matrix preconditioner (BMP) is applied to the EFIE formulation based on loop star-basis functions. Because...

Program dDeconvolve was developed to provide deconvolution analysis of FMRI time series data This has two primary applications estimation of the system impulse response function and multiple linear regression analysis of time series data Given the input stimulus function s and the measured FMRI signal data program dDeconvolve rst estimates the impulse response function s the impulse response fu...

A composition of an integer constrained to have decreasing then increasing parts is called concave. We prove that the generating function for the number of concave compositions, denoted v(q), is a mixed mock modular form in a more general sense than is typically used. We relate v(q) to generating functions studied in connection with “Moonshine of the Mathieu group” and the smallest parts of a p...