Coarse-grained models have been extremely valuable in promoting our understanding of protein folding. However, the quantitative accuracy of existing simplified models is strongly hindered either from the complete removal of frustration (as in the widely used Gō-like models) or from the compromise with the minimal frustration principle and/or realistic protein geometry (as in the simple on-latti...

Neural machine translation (NMT) has been a new paradigm in machine translation, and the attention mechanism has become the dominant approach with the state-of-the-art records in many language pairs. While there are variants of the attention mechanism, all of them use only temporal attention where one scalar value is assigned to one context vector corresponding to a source word. In this paper, ...

This paper describes an empirical study on the optimal granularity of the phrase structure rules and the optimal strategy for interleaving CFG parsing with unification in order to implement an eltlcient unification-based parsing system. We claim that using "medium-grained" CFG phrase structure rules, which balance tile computational cost of CI?G parsing and unification, are a cost-effective sol...

Ultra-fine grained (UFG) structure (~0.6 µm) was produced in the stir zone (SZ) of 6061-T6 aluminum alloy joints using friction stir processing (FSP) cooled by liquid nitrogen (N2). A new experimental set-up was used to simultaneously quench the lower and upper surfaces of the samples during the processing. In addition, FSPed joints, using a steel backing plate, were produced at room temperatur...

In theory, join points can be arbitrary places in the structure or execution of a program. However, most existing aspect languages do not support the full expressive power of this concept, limiting their pointcut languages to a subset of the theoretically possible join points. In this paper we explore a minimal language design based on only three built-in fine-grained pointcuts, which enable ex...

We introduce a modified dendrogram (MD) (with sub-trees to represent the feature space clusters) and display it in continuous space for multi-dimensional transfer function (TF) design and modification. Such a TF for direct volume rendering often employs a multi-dimensional feature space. In an n-dimensional (nD) feature space, each voxel is described using n attributes and represented by a vect...

I will argue in this paper that the standard notions of a f f ec tedness , change-of-state and result state are too coarse-grained, and will revise and enrich substantially their content, increasing their role in a compositional aspect construal procedure. I will claim in particular that a proper theory of event structure requires that enriched result states should be lexically represented, and...

We evaluate two types of lexical resources with respect to their applicability to interlingual machine translation: (1) a EuroWordNetbased database of bilingual links between Spanish and English words; and (2) a repository of semantically classified verbs with their corresponding Lexical Conceptual Structure (LCS) representations. We examine the utility of these two resources for the task of le...

We present simulations of causal dynamical collapse models of field theories on a 1 + 1 null lattice. We use our simulations to compare and contrast two possible interpretations of the models, one in which the field values are real and the other in which the state vector is real. We suggest that a procedure of coarse graining and renormalising the fundamental field can overcome its noisiness an...

Numerous biomolecules and biomolecular complexes, including transmembrane proteins (TMPs), are symmetric or at least have approximate symmetries. Highly coarse-grained models of such biomolecules, aiming at capturing the essential structural and dynamical properties on resolution levels coarser than the residue scale, must preserve the underlying symmetry. However, making these models obey the ...