Parametric and nonparametric methods have been developed for purposes of predicting phenotypes. These methods are based on retrospective analyses of empirical data consisting of genotypic and phenotypic scores. Recent reports have indicated that parametric methods are unable to predict phenotypes of traits with known epistatic genetic architectures. Herein, we review parametric methods includin...

This paper proposes an architecture for a wavelength-interchanging cross-connect (WIXC) that can be used as a switching node of strictly transparent and scalable networks with all-optical routing and all-optical wavelength conversion capabilities. This architecture utilizes all-optical parametric wavelength converters based on difference-frequencygeneration (DFG) or four-wave mixing (FWM), alth...

In this paper we address performance oriented design applied to adaptive architecture in order to satisfy the performance requirements for changing contextual conditions. The domain of adaptive architecture is defined and specific focus is given to form-active architecture, in which geometric changes occur as a means of adaptivity during the use of the building. A parametric design approach and...

Multimedia applications are characterized by high computational demands related to data transfer and storage operations. Multimedia algorithms in their majority consist of regular repetitive loop constructs. In this paper, a novel control architecture for implementing such loop intensive algorithms is described. The proposed control unit takes advantage of the regularity of computations in orde...

A neural correlate of parametric working memory is a stimulus-specific rise in neuron firing rate that persists long after the stimulus is removed. Network models with local excitation and broad inhibition support persistent neural activity, linking network architecture and parametric working memory. Cortical neurons receive noisy input fluctuations that cause persistent activity to diffusively...