Discrepancies in the patterns of cortical activation across studies may be attributable, in part, to differences in baseline tasks, and hence, reflect the limits of the subtractive logic underlying much of neuroimaging. To assess the extent of these effects, three of the most commonly used baseline conditions (rest, tone monitoring, and passive listening) were compared using phoneme discriminat...

The reconceptualization of sex role classification to include psychological androgyny is presented. An explanation of this concept is followed by a summary of related research and a critique of instruments which purport to assess sex role orientation. The implications of the results of sex role research for athletics as well as future directions in such research are discussed. The discussion ce...

Motivated by asking how to combine parton showers with nonleading QCD matrix elements, we discuss a subtractive technique based on gauge-invariant Wilsonline operators and how this can be used to treat the soft region. For precision phenomenology at future high energy colliders, it will be valuable to construct Monte Carlo event generators in which next-to-leading-order (NLO) QCD corrections ca...

Uncovering novel pathogenicity-associated loci among Yersinia enterocolitica species by subtractive hybridization von Azuka Iwobi aus Lagos, Nigeria 1.2 Representational difference analysis as a tool in the elucidation of the genetic variability among Y. enterocolitica strains. 3

This paper presents a tool condition monitoring approach using Takagi-Sugeno-Kang (TSK) fuzzy logic incorporating a subtractive clustering method. The experimental results show its effectiveness and satisfactory comparisons with several other artificial intelligence methods.

Non-negativity matrix factorization (NMF) and its variants have been explored in the last decade and are still attractive due to its ability of extracting non-negative basis images. However, most existing NMF based methods are not ready for encoding higher-order data information. One reason is that they do not directly/explicitly model structured data information during learning, and therefore ...

Combination of Adoptive Network based Fuzzy Inference System (ANFIS) and subtractive clustering (SC) has been used for estimation of deformation modulus (Em) and rock mass strength (UCSm) considering depth of measurement. To do this, learning of the ANFIS based subtractive clustering (ANFISBSC) was performed firstly on 125 measurements of 9 variables such as rock mass strength (UCSm), deformati...

Abstract We give some characterizations of commutative objects in a subtractive category and central morphisms regular category. In particular, we show that objects, i.e., internal unitary magmas, are the same as abelian groups analogously, centrality has an alternative description terms so-called “subtractors”

A parameterized deenition of subtractive oating point division algorithms is presented and veriied using PVS. The general algorithm is proven to satisfy a formal deenition of an IEEE standard for oating point arithmetic. The utility of the general speciication is illustrated using a number of diierent instances of the general algorithm.

Mesoscopic additive/subtractive material processing (Meso A/SMP) is a solid freeform fabrication technique capable of producing engineering parts in mesoscopic (100 micron to several millimeters) scales. This process integrates silicon processing, electroplating, hot pressing, casting, and traditional machining methods to provide opportunities for 3D layer fabrication and parallel production, a...