The heterogeneous design of multi-core processors, such as the Cell processor, introduced new challenges in porting high-level languages. Our project is developing tools that hide the underlying details of the Cell processor and eases parallel programming. We present a Virtual SIMD machine (VSM) paradigm that can be used to parallelize array expression automatically. The novelty is the use of a...

RATIONALE Cartilaginous metaplasia of vascular smooth muscle (VSM) is characteristic for arterial calcification in diabetes and uremia and in the background of genetic alterations in matrix Gla protein (MGP). A better understanding of the molecular details of this process is critical for the development of novel therapeutic approaches to VSM transformation and arterial calcification. OBJECTIV...

Hofstede’s cultural model has been widely used to make sense of the differences seen in cross-cultural HCI research.Hofstede’s Value Survey Module (VSM) and the cultural indices it produces are well known in the HCI community. This paper reports on a recent re-examination of the VSM (specifically, VSM94) in nine countries. Contrary to expectations, the data collected did not replicate Hofstede’...

PURPOSE To introduce a new method of deriving a virtual source model (VSM) of a linear accelerator photon beam from a phase space file (PSF) for Monte Carlo (MC) dose calculation. MATERIALS AND METHODS A PSF of a 6 MV photon beam was generated by simulating the interactions of primary electrons with the relevant geometries of a Synergy linear accelerator (Elekta AB, Stockholm, Sweden) and rec...

BACKGROUND Coronary artery disease is today's most important post-heart transplantation problem after the first perioperative year. Histologically, coronary artery disease is characterized by transplant arteriosclerosis. The current view on this vasculopathy is that vascular smooth muscle (VSM) cells from the media of affected arteries proliferate and migrate into the sub-endothelial space (int...

Automatically generating traceability links between software development artifacts existing throughout systems development life cycle, is becoming ever more important for requirements traceability. It remains an open software engineering challenge, especially for legacy systems, when the demand for minimizing human intervention is considered. The Vector Space Model (VSM), a notably known inform...

BACKGROUND Accumulating evidence suggests that C-reactive protein (CRP), in addition to predicting vascular disease, may actively facilitate lesion formation by inciting endothelial cell activation. Given the central importance of angiotensin type 1 receptor (AT1-R) in the pathogenesis of atherosclerosis, we examined the effects of CRP on AT1-R expression and kinetics in vascular smooth muscle ...

In order to reduce the dimension of VSM (Vector Space Model) for information retrieval and clustering, this paper proposes a new method, Semantic-VSM, which uses the Semantic Attribute System defined by ”A-Japanese-Lexicon” instead of literal words used in conventional VSM. The attribute system consists of a tree structure with 2,710 attributes, which includes 400 thousand literal words. Using ...

We present an approach to model hidden attributes in the compositional semantics of adjective-noun phrases in a distributional model. For the representation of adjective meanings, we reformulate the pattern-based approach for attribute learning of Almuhareb (2006) in a structured vector space model (VSM). This model is complemented by a structured vector space representing attribute dimensions ...

Vector-based information retrieval methods such as the vector space model (VSM), latent semantic indexing (LSI), and the generalized vector space model (GVSM) represent both queries and documents by high-dimensional vectors learned from analyzing a training corpus of text. VSM scales well to large collections, but cannot represent term–term correlations, which prevents it from being used in tra...