نتایج جستجو برای: comparative modelling

تعداد نتایج: 405646  

2017
Behrouz Hemmatian Eulàlia Planas Joaquim Casal

A mechanical effects of a BLEVE are overpressure and ejection of fragments. Although fragments reach much longer distances, peak overpressure can be very strong over a certain area. Diverse authors have proposed methodologies for the estimation of the explosion energy and peak overpressure from these type of explosions, based on different thermodynamic and physical assumptions. Here these metho...

2009
Antoine Serrurier Pierre Badin Anna Barney Louis-Jean Boë Christophe Savariaux

Purpose: Two of the major functions of the human vocal tract are feeding and speaking. As ontogenetically and phylogenetically feeding tasks precede speaking tasks, it has been hypothesised that the skilled movements of the orofacial articulators specific to speech may have evolved from feeding functions. Our objective is to bring evidence to support this hypothesis. Method: Vocal tract articul...

2006
Gemma Grau Carlos Cares Xavier Franch Fredy Navarrete

Agent-oriented software engineering has become an extended practice. The autonomy and flexibility provided by agents makes it appropriate either for the development of agentbased systems and for the development of complex and distributed software systems. Due to this wide applicability there are many modelling languages and methodologies for representing and developing systems using the agent-o...

2014

Protein comparative modelling (CM) is a predictive technique to build an atomic model for a polypeptide chain, based on the experimentally determined structures of related pro­ teins (templates). It is widely used in Structural Biology, with applications ranging from mutation analysis, protein and drug design to function prediction and analysis, particu­ larly when there are no experimental str...

2017
Kaylash Chaudhary Ansgar Fehnker Vinay Mehta

This paper considers on a network routing protocol known as Better Approach to Mobile Ad hoc Networks (B.A.T.M.A.N.). The protocol serves two aims: first, to discover all bidirectional links, and second, to identify the best-next-hop for every other node in the network. A key element is that each node will flood the network at regular intervals with so-called originator messages. This paper des...

Journal: :In Silico Biology 2007
Sergei N. Rodin Nikolay A. Kolchanov

This issue of the In Silico Biology journal covers the materials reported at the Fifth International Conference on Bioinformatics of Genome Regulation and Structure-BGRS’2006 (Akademgorodok, Novosibirsk, Russia, July 16–22, 2006; http://www.bionet.nsc.ru/meeting/bgrs2006/index.html). At the Conference, a wide range of basic issues of bioinformatics resolved by in silico methods, in conjunction ...

2003
BRUNO CONTRERAS-MOREIRA

Protein comparative modelling (CM) is a predictive technique to build an atomic model for a polypeptide chain, based on the experimentally determined structures of related proteins (templates). It is widely used in Structural Biology, with applications ranging from mutation analysis, protein and drug design to function prediction and analysis, particularly when there are no experimental structu...

2012
Richard Cooper

In this paper we compare the behaviour of three competing accounts of decision making under uncertainty (a Bayesian account, an associationist account, and a hypothesis testing account) with subject performance in a medical diagnosis task. The task requires that subjects first learn a set of symptom/disease associations. Later, subjects are required to form diagnoses based on limited symptom in...

2012
Andrea Schafferhans John Moult CARB Tim Hubbard Krzysztof Fidelis UC Davis Richard Judson Jan T Pedersen Andriy Kryshtafovych Anna Tramontano Daniel Fischer

Journal: :Decision Analytics 2014
Nahit Emanet Halil R. Öz Nazan Bayram Dursun Delen

Advanced analytical techniques are gaining popularity in addressing complex classification type decision problems in many fields including healthcare and medicine. In this exemplary study, using digitized signal data, we developed predictive models employing three machine learning methods to diagnose an asthma patient based solely on the sounds acquired from the chest of the patient in a clinic...

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