scholarly journals Fully model-based methodology for simultaneous correction of extreme ultraviolet mask shadowing and proximity effects

2011 ◽  
Vol 10 (1) ◽  
pp. 013004 ◽  
Author(s):  
Philip C. W. Ng
Keyword(s):  
Extreme Ultraviolet ◽  
Proximity Effects ◽  
Model Based

Study of the Superconducting Proximity Effects by Josephson Tunneling

1971 ◽  
Vol 49 (10) ◽  
pp. 1350-1360 ◽  
Author(s):  
S. Greenspoon ◽  
H. J. T. Smith
Keyword(s):  
Temperature Dependence ◽  
Lead Oxide ◽  
Proximity Effects ◽  
Josephson Current ◽  
Josephson Tunneling ◽  
Model Based ◽  
Tunneling Currents ◽  
Zero Voltage ◽  
Copper Lead

We have studied Josephson tunneling in lead – lead oxide – copper – lead junctions with the intent of investigating the proximity effects between normal (Cu) and superconducting (Pb) metals. Zero-voltage tunneling currents of the order of milliamps have been observed in junctions with varying copper thicknesses and electron mean free paths. We have interpreted our measurements of the temperature dependence of the maximum Josephson current in terms of a model based on the de Gennes – Werthamer theory of the proximity effects. As a result of our work we conclude that the de Gennes – Werthamer theory has considerable usefulness outside the strict limits of validity in which it was derived.

Processing cost and its consequences

2016 ◽  
Vol 39 ◽  
Author(s):  
William O'Grady
Keyword(s):  
Word Order ◽  
Proximity Effects ◽  
Processing Cost

AbstractI focus on two challenges that processing-based theories of language must confront: the need to explain why language has the particular properties that it does, and the need to explain why processing pressures are manifested in the particular way that they are. I discuss these matters with reference to two illustrative phenomena: proximity effects in word order and a constraint on contraction.

Representation, abstraction, and simple-minded sophisticates

2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan
Keyword(s):  
Decision Theory ◽  
Predictive Coding ◽  
Bayesian Decision Theory ◽  
Bayesian Decision ◽  
Model Based ◽  
Model Free

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.

Quantitative Model-Based Image Analysis of NuMa Distribution Links Nuclear Organization with Cell Phenotype

2001 ◽  
Vol 7 (S2) ◽  
pp. 578-579
Author(s):  
David W. Knowles ◽  
Sophie A. Lelièvre ◽  
Carlos Ortiz de Solόrzano ◽  
Stephen J. Lockett ◽  
Mina J. Bissell ◽  
...  
Keyword(s):  
Image Analysis ◽  
Mammary Epithelial Cells ◽  
Nuclear Organization ◽  
Critical Role ◽  
Quantitative Model ◽  
Mammary Epithelial ◽  
Cell Phenotype ◽  
Proliferating Cells ◽  
Mitotic Apparatus ◽  
Model Based

The extracellular matrix (ECM) plays a critical role in directing cell behaviour and morphogenesis by regulating gene expression and nuclear organization. Using non-malignant (S1) human mammary epithelial cells (HMECs), it was previously shown that ECM-induced morphogenesis is accompanied by the redistribution of nuclear mitotic apparatus (NuMA) protein from a diffuse pattern in proliferating cells, to a multi-focal pattern as HMECs growth arrested and completed morphogenesis . A process taking 10 to 14 days.To further investigate the link between NuMA distribution and the growth stage of HMECs, we have investigated the distribution of NuMA in non-malignant S1 cells and their malignant, T4, counter-part using a novel model-based image analysis technique. This technique, based on a multi-scale Gaussian blur analysis (Figure 1), quantifies the size of punctate features in an image. Cells were cultured in the presence and absence of a reconstituted basement membrane (rBM) and imaged in 3D using confocal microscopy, for fluorescently labeled monoclonal antibodies to NuMA (fαNuMA) and fluorescently labeled total DNA.

Model-Based Clustering and Classification for Data Science

2019 ◽  
Author(s):  
Charles Bouveyron ◽  
Gilles Celeux ◽  
T. Brendan Murphy ◽  
Adrian E. Raftery
Keyword(s):  
Data Science ◽  
Model Based Clustering ◽  
Model Based ◽  
Clustering And Classification

Model-Based Software Testing and Analysis with C#

2007 ◽  
Author(s):  
Jonathan Jacky ◽  
Margus Veanes ◽  
Colin Campbell ◽  
Wolfram Schulte
Keyword(s):  
Software Testing ◽  
Model Based
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