Joint testing for the cumulative effect of multiple single-nucleotide polymorphisms grouped on the basis of prior biological knowledge has become a popular and powerful strategy for the analysis of large-scale genetic association studies. The kernel machine (KM)-testing framework is a useful approach that has been proposed for testing associations between multiple genetic variants and many diff...

We develop a new model for the multivariate covariance matrix dynamics based on daily return observations and daily realized covariance matrix kernels based on intraday data. Both types of data may be fat-tailed. We account for this by assuming a matrix-F distribution for the realized kernels, and a multivariate Student’s t distribution for the returns. Using generalized autoregressive score dy...

I. THE TAO OF COMPOSITE. COMPOSITE is a component-based operating system that has been under development since 2006 with design goals including configurability, predictability, and reliability. Unlike many previous component-based operating systems that focus on kernelbased configurability, COMPOSITE implements most system policies, mechanisms and abstractions as user-level, hardwareprotected, ...

In this paper, the effect of infrared (IR) roasting conditions on Aflatoxins and total counts of two types of Iranian pistachio kernels, long and round, was studied. The optimized roasting conditions, 70 V for round pistachios and 90 V for long pistachios with 10 cm distance from IR source were used. Naturally Aflatoxin-contaminated kernels were supplied and roasted. Microbiological an...

This paper presents an approach to the identification of models characterizing the functional properties of the hippocampal formation. In this approach the network properties are characterized as the composite of input/output functions measured for each subsystem in the network. The characterizing functions are the kernels of a functional power series. The calculation and interpretation of thes...

This paper proposes a convolution tree kernel-based approach for relation extraction where parse trees are expanded with various entity-related features, such as entity type, subtype, and mention level. Our study indicates that not only can our method effectively capture both syntactic structure and entity information of relation instances in a single tree kernel, but also can avoid the difficu...

We introduce a generalization of the Hermite normal form for matrices over a principal ideal ring R which may contain zero divisors. That normal form allows us to solve the following basic linear algebra problems. Equality decision, containment test and element test for submodules of R k , k 2 IN. The determination of images, kernels, and inverse images of homomorphisms ' : R l ! R k , l; k 2 I...

This paper proposes a convolution tree kernel-based approach for relation extraction where the parse tree is expanded with entity features such as entity type, subtype, and mention level etc. Our study indicates that not only can our method effectively capture both syntactic structure and entity information of relation instances, but also can avoid the difficulty with tuning the parameters in c...

Synopsis Parallel imaging relies on fully-sampled calibration data to estimate k-space kernels or sensitivities used to reconstruct subsampled acquisitions. Emerging techniques use low-rank modeling, or joint estimation of sensitivities and image content via nonlinear optimization, to reduce the dependency on calibration data. In a typical study, images at multiple echoes/contrasts are acquired...