Experimental verification of multilevel spatial pattern generation from binary data page with four-step phase pattern (Conference Presentation)

2016 ◽  
Author(s):  
Daisuke Barada ◽  
Toyohiko Yatagai
Keyword(s):  
Spatial Pattern ◽  
Experimental Verification ◽  
Binary Data ◽  
Pattern Generation ◽  
Phase Pattern ◽  
Data Page

Reconstruction of binary-data-page thick holograms for an arbitrarily oriented reference beam

1981 ◽  
Vol 20 (2) ◽  
pp. 300 ◽  
Author(s):  
H. J. Gallagher ◽  
T. K. Gaylord ◽  
M. G. Moharam ◽  
C. C. Guest
Keyword(s):  
Binary Data ◽  
Reference Beam ◽  
Data Page

Threshold bifurcation in tissue interaction models for spatial pattern generation

1994 ◽  
Vol 347 (1685) ◽  
pp. 661-676 ◽  
Keyword(s):  
Pattern Formation ◽  
Spatial Pattern ◽  
Essential Role ◽  
Interaction Mechanism ◽  
Pattern Generation ◽  
Interaction Models ◽  
Tissue Interaction ◽  
Specific Tissue ◽  
Traditional Pattern

Experimental evidence indicates that tissue interaction plays an essential role during skin pattern formation. Here we focus on the mathematical aspects of two specific tissue interaction models. Introducing interaction mechanisms into the traditional pattern formation models is not only biologically consistent, but also leads to results agreeing more closer to those observed in embryogenesis. We specifically examine the bifurcations from spatially simple solutions to spatially complex patterns. In both models this increased complexity in solution is obtained by increasing the effect of the interaction mechanism through a certain threshold. The role of tissue interaction in sequential patterning is also considered.

Nonlinear ring resonator: spatial pattern generation

2000 ◽  
Author(s):  
Vladimir Y. Ivanov ◽  
Svetlana L. Lachinova ◽  
Nikita G. Irochnikov
Keyword(s):  
Spatial Pattern ◽  
Ring Resonator ◽  
Pattern Generation

The Beck Hopelessness Scale

2016 ◽  
Vol 32 (2) ◽  
pp. 111-118 ◽  
Author(s):  
Marianna Szabó ◽  
Veronika Mészáros ◽  
Judit Sallay ◽  
Gyöngyi Ajtay ◽  
Viktor Boross ◽  
...  
Keyword(s):  
Binary Data ◽  
Factor Model ◽  
Clinical Sample ◽  
Analytical Techniques ◽  
Cross Cultural ◽  
Cultural Validity ◽  
Beck Hopelessness Scale ◽  
Method Effects ◽  
Hungarian Population ◽  
Components Analysis

Abstract. The aim of the present study was to examine the construct and cross-cultural validity of the Beck Hopelessness Scale (BHS; Beck, Weissman, Lester, & Trexler, 1974 ). Beck et al. applied exploratory Principal Components Analysis and argued that the scale measured three specific components (affective, motivational, and cognitive). Subsequent studies identified one, two, three, or more factors, highlighting a lack of clarity regarding the scale’s construct validity. In a large clinical sample, we tested the original three-factor model and explored alternative models using both confirmatory and exploratory factor analytical techniques appropriate for analyzing binary data. In doing so, we investigated whether method variance needs to be taken into account in understanding the structure of the BHS. Our findings supported a bifactor model that explicitly included method effects. We concluded that the BHS measures a single underlying construct of hopelessness, and that an incorporation of method effects consolidates previous findings where positively and negatively worded items loaded on separate factors. Our study further contributes to establishing the cross-cultural validity of this instrument by showing that BHS scores differentiate between depressed, anxious, and nonclinical groups in a Hungarian population.

Spatial Pattern Discrimination in Rats

2003 ◽  
Author(s):  
Kelly A. Digian ◽  
Michael Brown
Keyword(s):  
Spatial Pattern ◽  
Pattern Discrimination

Visual cues and spatial pattern learning

2001 ◽  
Author(s):  
Michael F. Brown ◽  
Sue Yang ◽  
Kelly Digian
Keyword(s):  
Spatial Pattern ◽  
Visual Cues ◽  
Pattern Learning
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