quantitative characterization
Recently Published Documents


TOTAL DOCUMENTS

1835
(FIVE YEARS 346)

H-INDEX

75
(FIVE YEARS 9)

Author(s):  
Starr White ◽  
Clarence E. Chase ◽  
Kazem V. Edmond ◽  
Firdaus Janoos ◽  
Stuart E. Smith

2021 ◽  
Author(s):  
Chaitali Anand ◽  
Pedro Maia ◽  
Justin Torok ◽  
Christopher Mezias ◽  
Ashish Raj

Abstract The prion-like transsynaptic propagation of misfolded tau along the brain’s connectome has previously been modeled using connectome-based network diffusion models. In addition to the connectome, interactions between the general neurological ‘milieu’ in the neurodegenerative brain and proteinopathic species can also contribute to pathology propagation. Such a molecular nexopathy framework posits that the distinct characteristics of neurodegenerative disorders stem from interactions between the network and surrounding molecular players. However, the effects of these modulators remain unquantified. Here, we present Nexopathy in silico (‘Nexis’), a quantitative model of tau progression augmenting earlier models by including parameters of pathology propagation defined by the molecular modulators of connectome-based spread. Our Nexis:microglia model provides the first quantitative characterization of this effect on the whole brain by expanding previous models of neuropathology progression by incorporating microglial influence. We show that Trem2, but not microglial homeostasis genes, significantly improved the model’s predictive power. Trem2 appears to reduce tau accumulation rate while increasing its interregional spread from the hippocampal seed area, causing higher tau burden in the striatum, pallidum, and contralateral hippocampus. Nexis thus provides an improved understanding and quantification of microglial contribution to tau propagation and can be flexibly modified to include other modulators of progressive neurodegeneration.


ACS Nano ◽  
2021 ◽  
Author(s):  
Xuan Quy Tran ◽  
Kohei Aso ◽  
Tomokazu Yamamoto ◽  
Wenhui Yang ◽  
Yoshiki Kono ◽  
...  

10.30544/776 ◽  
2021 ◽  
Vol 27 (4) ◽  
pp. 437-447
Author(s):  
Marija Mihailović ◽  
Karlo Raić

When the quantitative characterization of non-metallic inclusions in steel is done and the effect of limiting factors is assessed, and based on that the possibility of reconstruction of the total content of non-metallic inclusions in steel is estimated, further considerations can be directed towards predicting the model of size distribution curve. The aim of this work is to establish relations on the basis of which it will be possible to quantify the content of non-metallic inclusions in extra-pure steels, when metallographic control is difficult or even impossible by routine procedures.


Sign in / Sign up

Export Citation Format

Share Document