نتایج جستجو برای: grails

تعداد نتایج: 75  

Journal: :AI Magazine 1998
Bonnie Holte Bennett Dwight Nelson Russell Pannier Thomas Sullivan Gregory Robinson-Riegler

literature and theories put forth to date. Thagard summarizes results of research to date: “the central hypothesis of cognitive science: Thinking can best be understood in terms of representational structures in the mind and computational procedures that operate on those structures” (p. 10). He uses a shorthand notation for this approach: the computational-representational understanding of mind...

2018
Hope Cottrill Stephanie Cason Scott Caroen Bryan Oronsky Elvis Donaldson

This case report describes the clinical course of a heavily pretreated patient enrolled on the Phase II QUADRUPLE THREAT clinical trial (NCT02489903) with recurrent metastatic epithelial ovarian cancer that was previously treated with a platinum doublet and that benefited from another reintroduction of a platinum doublet after a brief priming period with RRx-001. Platinum-taxane combination is ...

2010
Paulo André Salvador Abreu Miguel P. Correia

Logic programming provides a very high-level view of programming, which comes at the cost of some execution inefficiency. Improving performance of logic programs is thus one of the holy grails of Prolog system implementations and a wide range of approaches have historically been taken towards this goal. Designing computational models that both exploit the available parallelism in a given applic...

2004
Qinwen Wang Michael J. Rowan Ayse Pinar Saygin Stephen M. Wilson Donald J. Hagler Elizabeth Bates Martin I. Sereno

The molecular calcium sensor responsible for transmitter release has been one of the holy grails of molecular neurobiology. For a number of years, attention has focused on synaptotagmins that have many of the necessary attributes. For example, evoked release is reduced when synaptotagmin I is blocked or eliminated. However, the story is not so simple, because loss of synaptotagmins does not com...

Journal: :Journal of the American College of Cardiology 2014
Daniel G Blanchard Anthony N DeMaria

A ccording to legend penned by Sir Thomas Malory (1), King Arthur’s knights searched far and long for the Holy Grail. Modern cardiologists are a far cry from the knights-errant of antiquity, but we, too, pursue our holy grails. What quest or goal does an echocardiographer long to see today? How about an accurate, foolproof echo technique to quantify mitral regurgitation? Perhaps, at last, could...

Journal: :Empirical Software Engineering 2022

Evaluating and predicting software maintenance effort using source code metrics is one of the holy grails engineering. Unfortunately, previous research has provided contradictory evidence in this regard. The debate still open: as a community we are not certain about relationship between impact. In study investigate whether can indeed establish at previously unexplored method level granularity. ...

Journal: :Catalysts 2022

The epoxidation of propene without forming a substantial amount byproducts is one the holy grails catalysis. Supported Cu, Ag and Au catalysts are studied for this reaction activity supported metals generally well understood. On contrary, limited information available on influence support epoxide selectivity. with equal amounts hydrogen oxygen was tested over gold nanoparticles deposited onto C...

2011
Brian Dean

The search for clinically useful biomarkers has been one of the holy grails of schizophrenia research. This paper will outline the evolving notion of biomarkers and then outline outcomes from a variety of biomarkers discovery strategies. In particular, the impact of high-throughput screening technologies on biomarker discovery will be highlighted and how new or improved technologies may allow t...

2015
Ziyu Wang Frank Hutter Masrour Zoghi David Matheson Nando de Freitas

Bayesian optimization techniques have been successfully applied to robotics, planning, sensor placement, recommendation, advertising, intelligent user interfaces and automatic algorithm configuration. Despite these successes, the approach is restricted to problems of moderate dimension, and several workshops on Bayesian optimization have identified its scaling to high-dimensions as one of the h...

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