Spatial epidemic network models with viral dynamics

1998 ◽  
Vol 57 (2) ◽  
pp. 2163-2169 ◽  
Author(s):  
Henry C. Tuckwell ◽  
Laurent Toubiana ◽  
Jean-Francois Vibert
Keyword(s):  
Network Models ◽  
Viral Dynamics ◽  
Spatial Epidemic

Enhancement of epidemic spread by noise and stochastic resonance in spatial network models with viral dynamics

2000 ◽  
Vol 61 (5) ◽  
pp. 5611-5619 ◽  
Author(s):  
Henry C. Tuckwell ◽  
Laurent Toubiana ◽  
Jean-Francois Vibert
Keyword(s):  
Stochastic Resonance ◽  
Network Models ◽  
Spatial Network ◽  
Viral Dynamics ◽  
Epidemic Spread

What's in a model? Network models as tools instead of representations of what psychiatric disorders really are

2019 ◽  
Vol 42 ◽  
Author(s):  
Hanna M. van Loo ◽  
Jan-Willem Romeijn
Keyword(s):  
Psychiatric Disorders ◽  
Network Models ◽  
Model Network

AbstractNetwork models block reductionism about psychiatric disorders only if models are interpreted in a realist manner – that is, taken to represent “what psychiatric disorders really are.” A flexible and more instrumentalist view of models is needed to improve our understanding of the heterogeneity and multifactorial character of psychiatric disorders.

Special, radical, failure of reduction in psychiatry

2019 ◽  
Vol 42 ◽  
Author(s):  
Don Ross
Keyword(s):  
Mental Disorder ◽  
Brain Structure ◽  
Causal Structure ◽  
Network Models ◽  
Gambling Addiction ◽  
Brain Disorder ◽  
Mental Processes ◽  
Special Radical ◽  
Intentional Relationships

AbstractUse of network models to identify causal structure typically blocks reduction across the sciences. Entanglement of mental processes with environmental and intentional relationships, as Borsboom et al. argue, makes reduction of psychology to neuroscience particularly implausible. However, in psychiatry, a mental disorder can involve no brain disorder at all, even when the former crucially depends on aspects of brain structure. Gambling addiction constitutes an example.

Application of Lattice Imaging Techniques to Amorphous Films

1975 ◽  
Vol 33 ◽  
pp. 8-9
Author(s):  
S. R. Herd ◽  
P. Chaudhari
Keyword(s):  
Nearest Neighbor ◽  
Random Network ◽  
Imaging Techniques ◽  
Network Models ◽  
Accurate Method ◽  
Direct Transmission ◽  
Lattice Imaging ◽  
Transmission Electron ◽  
Lattice Planes ◽  
Nearest Neighbor Distances

Electron diffraction and direct transmission have been used extensively to study the local atomic arrangement in amorphous solids and in particular Ge. Nearest neighbor distances had been calculated from E.D. profiles and the results have been interpreted in terms of the microcrystalline or the random network models. Direct transmission electron microscopy appears the most direct and accurate method to resolve this issue since the spacial resolution of the better instruments are of the order of 3Å. In particular the tilted beam interference method is used regularly to show fringes corresponding to 1.5 to 3Å lattice planes in crystals as resolution tests.

Network Models for HIV Outreach and Prevention Programs for Drug Users

1995 ◽  
Author(s):  
Robert T. Trotter ◽  
Anne M. Bowen ◽  
James M. Potter
Keyword(s):  
Drug Users ◽  
Network Models ◽  
Prevention Programs

Adaptive architectures for Hebbian network models

1992 ◽  
Vol 2 (5) ◽  
pp. 615-624 ◽  
Author(s):  
Karl E. Kürten
Keyword(s):  
Network Models ◽  
Adaptive Architectures
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