Similarity Group-By

2009 ◽  
Author(s):  
Yasin N. Silva ◽  
Walid G. Aref ◽  
Mohamed H. Ali
Keyword(s):  
Similarity Group

Best Matching: Technical Details

2018 ◽  
Author(s):  
Flavio Mercati
Keyword(s):  
Point Particle ◽  
Euclidean Group ◽  
Scale Invariant ◽  
Similarity Group ◽  
N Body Problem ◽  
Technical Details ◽  
Matching Procedure ◽  
Principal Fibre ◽  
Principal Fibre Bundle ◽  
Gauge Connection

The best matching procedure described in Chapter 4 is equivalent to the introduction of a principal fibre bundle in configuration space. Essentially one introduces a one-dimensional gauge connection on the time axis, which is a representation of the Euclidean group of rotations and translations (or, possibly, the similarity group which includes dilatations). To accommodate temporal relationalism, the variational principle needs to be invariant under reparametrizations. The simplest way to realize this in point–particle mechanics is to use Jacobi’s reformulation of Mapertuis’ principle. The chapter concludes with the relational reformulation of the Newtonian N-body problem (and its scale-invariant variant).

Semantic Similarity Group By Operators for Metric Data

2017 ◽  
pp. 247-261
Author(s):  
Natan A. Laverde ◽  
Mirela T. Cazzolato ◽  
Agma J. M. Traina ◽  
Caetano Traina
Keyword(s):  
Semantic Similarity ◽  
Similarity Group

scholarly journals Intergenic Spacer Length Variability in Cultivated, Weedy and Wild Rye Species

2015 ◽  
Vol 10 (1) ◽  
Author(s):  
L. Skuza ◽  
E. Filip ◽  
I. Szućko
Keyword(s):  
Intergenic Spacer ◽  
Repetitive Elements ◽  
Universal Primers ◽  
Closely Related Species ◽  
Spacer Length ◽  
Coding Regions ◽  
Similarity Group ◽  
Rdna Igs ◽  
High Level ◽  
Ribosomal Rrna

AbstractNon-coding rDNA spacers (IGS) can vary substantially in size due to differences in the number of repetitive elements among closely related species. Three pairs of universal primers were used in this study for the amplification of non-coding regions of ribosomal (rRNA) IGS. The amplified IGS products obtained from 19 Secale accessions, which included both cultivated and noncultivated rye and which represented three species and four subspecies of the genus Secale, showed a high level of polymorphism. The PCR results were characterized by multiple bands (1-6), different sizes (750bp-3250bp) and 100% polymorphism. Cluster analysis using the neighborjoining method based on the Dice’s coefficient of genetic similarity showed a division of the studied species into two similarity groups. All the studied Secale cereale ssp. cereale were found to belong to the same similarity group. The variation in the size of the IGS among the species which was detected in this study could be due to dissimilarity between the sequences of their respective repetitive elements or between their tandem repeat numbers. The highly interspecific polymorphisms for the rDNA IGS regions suggested that IGS might be a useful molecular marker in studies of Secale species.

scholarly journals Differentiation of Tilletia Species by rep-PCR Genomic Fingerprinting

Plant Disease ◽  
2000 ◽  
Vol 84 (10) ◽  
pp. 1121-1125 ◽  
Author(s):  
J. G. McDonald ◽  
E. Wong ◽  
G. P. White
Keyword(s):  
Diagnostic Method ◽  
Repetitive Element ◽  
Genetic Relationships ◽  
Random Amplified Polymorphic Dna ◽  
Fungal Species ◽  
Computer Assisted ◽  
Similarity Group ◽  
Group 2 ◽  
Assisted Analysis ◽  
Dna Primers

The potential of repetitive-sequence-based polymerase chain reaction (rep-PCR) fingerprinting of fungal genomic DNA as a rapid and simple alternative to random amplified polymorphic DNA (RAPD) analysis in the study of phylogenetic relationships, and also as a diagnostic method, was investigated with species of Tilletia. DNA primers (BOX, ERIC, and REP) corresponding to conserved repetitive element motifs, originally described in prokaryotes, were used to generate genomic fingerprints of T. indica, T. walkeri, T. controversa, T. laevis, T. tritici, T. goloskokovii, T. barclayana, and members of the T. fusca complex. Computer-assisted analysis of the database of combined fingerprints clearly distinguished each taxon and indicated phylo-genetic relationships consistent with previously reported RAPD analyses. There were three main clusters with isolates showing 35 to 40% similarity. Group 1 included T. indica and T. walkeri; group 2 included members of the T. fusca complex, as well as T. controversa, T. laevis, T. tritici, and T. goloskokovii; and group 3 included only T. barclayana. If, as is likely, the conserved repetitive element motifs on which this technique is based are widespread or universal in fungal species, rep-PCR shows strong potential, not only as a simple generic taxonomic tool, but also as a diagnostic method.

The similarity group and anomalous diffusion equations

2000 ◽  
Vol 33 (31) ◽  
pp. 5501-5511 ◽  
Author(s):  
C Schulzky ◽  
C Essex ◽  
M Davison ◽  
A Franz ◽  
K H Hoffmann
Keyword(s):  
Anomalous Diffusion ◽  
Diffusion Equations ◽  
Similarity Group

scholarly journals Group Positive Affect and Beyond: An Integrative Review and Future Research Agenda

2020 ◽  
Vol 17 (20) ◽  
pp. 7499
Author(s):  
Jonathan Peñalver ◽  
Marisa Salanova ◽  
Isabel M. Martínez
Keyword(s):  
Positive Affect ◽  
Research Agenda ◽  
Group Processes ◽  
Integrative Review ◽  
Future Research ◽  
Future Research Agenda ◽  
Similarity Group ◽  
Working Together ◽  
And Performance ◽  
The Individual

Group positive affect is defined as homogeneous positive affect among group members that emerges when working together. Considering that previous research has shown a significant relationship between group positive affect and a wide variety of group outcomes (e.g., behaviors, wellbeing, and performance), it is crucial to boost our knowledge about this construct in the work context. The main purpose is to review empirical research, to synthesize the findings and to provide research agenda about group positive affect, in order to better understand this construct. Through the PsycNET and Proquest Central databases, an integrative review was conducted to identify articles about group positive affect published between January 1990 and March 2019. A total of 44 articles were included and analyzed. Finding suggests that scholars have been more interested in understanding the outcomes of group positive affect and how to improve the productivity of groups than in knowing what the antecedents are. A summary conclusion is that group positive affect is related to leadership, job demands, job resources, diversity/similarity, group processes, and contextual factors, all of which influence the development of several outcomes and different types of wellbeing at the individual and group levels. However, with specific combinations of other conditions (e.g., group trust, negative affect, and interaction), high levels of group positive affect could cause harmful results. Conclusions shed light on group positive affect research and practice and might help Human Resources professionals to initiate empirically-based strategies related to recruitment, group design and leadership training.

scholarly journals Similarity Group-By operators for multi-dimensional relational data

2016 ◽  
Author(s):  
Mingjie Tang ◽  
Ruby Y. Tahboub ◽  
Walid G. Aref ◽  
Mikhail J. Atallah ◽  
Qutaibah M. Malluhi ◽  
...  
Keyword(s):  
Relational Data ◽  
Similarity Group

scholarly journals Genetic divergence among and within Colletotrichum lindemuthianum races assessed by RAPD

2006 ◽  
Vol 31 (6) ◽  
pp. 545-550 ◽  
Author(s):  
Viviane Talamini ◽  
Elaine A. Souza ◽  
Edson A. Pozza ◽  
Gilvan F. Silva ◽  
Francine H. Ishikawa ◽  
...  
Keyword(s):  
Genetic Divergence ◽  
Rapd Markers ◽  
Colletotrichum Lindemuthianum ◽  
Sexual Stage ◽  
Glomerella Cingulata ◽  
Group Vi ◽  
Similarity Group ◽  
Differential Cultivars ◽  
Polymorphic Bands ◽  
Relative Similarity

Genetic divergence within and among races of Colletotrichum lindemuthianum was determined using RAPD markers. In addition to the different races of the fungus three isolates of the sexual stage of Colletotrichum lindemuthianum (Glomerella cingulata f.sp. phaseoli) were included in this study. The band patterns generated using 11 primers produced 133 polymorphic bands. The polymorphic bands were used to determine genetic divergence among and within the pathogen races. The isolates analyzed were divided into six groups with 0.75 relative similarity. Group VI, formed by three isolates of the sexual phase of Colletotrichum lindemuthianum, was the most divergent. Races previously determined using differential cultivars did not correlate with the results obtained using RAPD markers.

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