Effects of the Formation of Large Physical Clusters on the Pressure of a Fluid

2009 ◽  
Vol 113 (31) ◽  
pp. 10732-10749
Author(s):  
Tetsuo Kaneko
Keyword(s):  
Physical Clusters

scholarly journals Annotation of the Corymbia terpene synthase gene family shows broad conservation but dynamic evolution of physical clusters relative to Eucalyptus

Heredity ◽  
2018 ◽  
Vol 121 (1) ◽  
pp. 87-104 ◽  
Author(s):  
Jakob B. Butler ◽  
Jules S. Freeman ◽  
Brad M. Potts ◽  
René E. Vaillancourt ◽  
Dario Grattapaglia ◽  
...  
Keyword(s):  
Gene Family ◽  
Terpene Synthase ◽  
Dynamic Evolution ◽  
Physical Clusters

Physical clusters in nucleation theory

1977 ◽  
Vol 66 (1) ◽  
pp. 223-226 ◽  
Author(s):  
H. P. Gillis ◽  
Dean C. Marvin ◽  
H. Reiss
Keyword(s):  
Nucleation Theory ◽  
Physical Clusters

Identifying physical clusters in vapor phase nucleation

1999 ◽  
Vol 110 (11) ◽  
pp. 5249-5261 ◽  
Author(s):  
Isamu Kusaka ◽  
David W. Oxtoby
Keyword(s):  
Vapor Phase ◽  
Phase Nucleation ◽  
Physical Clusters

The Impact of Virtualization on High Performance Computing Clustering in the Cloud

2015 ◽  
Vol 6 (4) ◽  
pp. 65-81 ◽  
Author(s):  
Ouidad Achahbar ◽  
Mohamed Riduan Abid
Keyword(s):  
Big Data ◽  
High Performance Computing ◽  
High Performance ◽  
Virtual Machines ◽  
Performance Trends ◽  
Tightly Coupled ◽  
Physical Clusters ◽  
User Friendly ◽  
The Impact ◽  
Performance Computing

The ongoing pervasiveness of Internet access is intensively increasing Big Data production. This, in turn, increases demand on compute power to process this massive data, and thus rendering High Performance Computing (HPC) into a high solicited service. Based on the paradigm of providing computing as a utility, the Cloud is offering user-friendly infrastructures for processing Big Data, e.g., High Performance Computing as a Service (HPCaaS). Still, HPCaaS performance is tightly coupled with the underlying virtualization technique since the latter is responsible for the creation of virtual machines that carry out data processing jobs. In this paper, the authors evaluate the impact of virtualization on HPCaaS. They track HPC performance under different Cloud virtualization platforms, namely KVM and VMware-ESXi, and compare it against physical clusters. Each tested cluster provided different performance trends. Yet, the overall analysis of the findings proved that the selection of virtualization technology can lead to significant improvements when handling HPCaaS.

Identifying physical clusters in bubble nucleation

1999 ◽  
Vol 111 (3) ◽  
pp. 1104-1108 ◽  
Author(s):  
Isamu Kusaka ◽  
David W. Oxtoby
Keyword(s):  
Bubble Nucleation ◽  
Physical Clusters

scholarly journals Phylogeny and Genomic Organization of the TIR and Non-TIR NBS-LRR Resistance Gene Family in Medicago truncatul

2002 ◽  
Vol 15 (6) ◽  
pp. 529-539 ◽  
Author(s):  
Hongyan Zhu ◽  
Steven B. Cannon ◽  
Nevin D. Young ◽  
Douglas R. Cook
Keyword(s):  
Phylogenetic Analysis ◽  
Resistance Gene ◽  
Resistance Genes ◽  
Physical Mapping ◽  
Genomic Organization ◽  
Interleukin 1 ◽  
Legume Species ◽  
Leucine Rich Repeat ◽  
Model Legume ◽  
Physical Clusters

Sequences homologous to the nucleotide binding site (NBS) domain of NBS-leucine-rich repeat (LRR) resistance genes were retrieved from the model legume M. truncatula through several methods. Phylogenetic analysis classified these sequences into TIR (toll and interleukin-1 receptor) and non-TIR NBS subfamilies and further subclassified them into several well-defined clades within each subfamily. Comparison of M. truncatula NBS sequences with those from several closely related legumes, including members of the tribes Trifoleae, Viceae, and Phaseoleae, reveals that most clades contain sequences from multiple legume species. Moreover, sequences from species within the closely related Trifoleae and Viceae tribes (e.g., Medicago and Pisum spp.) tended to be cophyletic and distinct from sequences of Phaseoleae species (e.g., soybean and bean). These results suggest that the origin of major clades within the NBS-LRR family predate radiation of these Papilionoid legumes, while continued diversification of these sequences mirrors speciation within this legume subfamily. Detailed genetic and physical mapping of both TIR and non-TIR NBS sequences in M. truncatula reveals that most NBS sequences are organized into clusters, and few, if any, clusters contain both TIR and non-TIR sequences. Examples were found, however, of physical clusters that contain sequences from distinct phylogenetic clades within the TIR or non-TIR subfamilies. Comparative mapping reveals several blocks of resistance gene loci that are syntenic between M. truncatula and soybean and between M. truncatula and pea.

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