Fast-ramping superconducting (SC) accelerator magnets are the subject of R&D efforts by magnet designers at various laboratories. They require modifications of magnet design tools such as the ROXIE program at CERN, i.e. models of dynamic effects in superconductors need to be implemented and validated. In this paper we present the efforts towards a dynamic 2-D simulation of fast-ramping SC magne...

The energies of p-shell hypernuclear γ rays obtained from recent experiments using the Hyperball at BNL and KEK are used to constrain the YN interaction which enters into shell-model calculations that include both Λ and Σ configurations.

C. Bernard, T. DeGrand, C. DeTar, Steven Gottlieb, Urs M. Heller, J. E. Hetrick, N. Ishizuka, C. McNeile, K. Rummukainen, R. Sugar, D. Toussaint, M. Wingate Washington University, St. Louis, Missouri 63130, USA University of Colorado, Boulder, Colorado 80309, USA University of Utah, Salt Lake City, Utah 84112, USA Indiana University, Bloomington, Indiana 47405, USA SCRI, The Florida State Unive...

In this paper we propose a new way to combine classifiers trained and diverged by NCL that leads to superior results in compare with averaging and DTs methods alone. In the proposed method after training classifiers by NCL, DTs and averaging are employed independently to combine them and then the outputs are combined again by averaging. For the second level combination, support vectors are scal...

We propose Nested LSTMs (NLSTM), a novel RNN architecture with multiple levels of memory. Nested LSTMs add depth to LSTMs via nesting as opposed to stacking. The value of a memory cell in an NLSTM is computed by an LSTM cell, which has its own inner memory cell. Specifically, instead of computing the value of the (outer) memory cell as c t = ft ct−1 + it gt, NLSTM memory cells use the concatena...

A nested datatype, also known as a non-regular datatype, is a parametrised datatype whose declaration involves different instances of the accompanying type parameters. Nested datatypes have been mostly ignored in functional programming until recently, but they are turning out to be both theoretically important and useful in practice. The aim of this paper is to suggest a functorial semantics fo...

The nested logit model has been widely used to study nested choice. A typical example of such nested choice is store patronage and brand choice. An important limitation of the nested logit model is that it assumes that all alternatives at both levels of the nest are available in the choice set of the consumer. While there is a wide literature on the incorporation of restricted choice sets into ...

Since the fundamental work of Lawvere in 1963 [7] it is common to understand a theory as category with additional structure, to understand a model of the theory as a functor preserving the additional structure, and to represent homomorphisms by natural transformations. The resulting model category becomes a suitable subcategory of a functor category. Many different classes of mathematical struc...