An improved multiple‐state observer of Boolean control networks

2019 ◽  
Vol 21 (6) ◽  
pp. 2651-2661 ◽  
Author(s):  
Junqi Yang ◽  
Zihan Gao ◽  
Zhiqiang Li ◽  
Wei Qian
Keyword(s):  
State Observer ◽  
Control Networks ◽  
Multiple State

Improved Multiple-State Observer Design for Boolean Control Networks

2019 ◽  
pp. 279-287 ◽  
Author(s):  
Junqi Yang ◽  
Lizhi Cui ◽  
Yantao Chen ◽  
Zihan Gao ◽  
Wei Qian
Keyword(s):  
State Observer ◽  
Observer Design ◽  
Control Networks ◽  
Multiple State

State-of-the-art pulmonary arterial imaging – Part 1

VASA ◽  
2018 ◽  
Vol 47 (5) ◽  
pp. 345-359 ◽  
Author(s):  
Yuki Tanabe ◽  
Luis Landeras ◽  
Abed Ghandour ◽  
Sasan Partovi ◽  
Prabhakar Rajiah
Keyword(s):  
State Of The Art ◽  
Pulmonary Arteries ◽  
Pulmonary Angiography ◽  
Imaging Modalities ◽  
Nuclear Medicine Imaging ◽  
Multiple State ◽  
Pulmonary Arterial ◽  
Magnetic Resonance Imaging Mri ◽  
Acquired Abnormalities ◽  
Arterial Imaging

Abstract. The pulmonary arteries are affected by a variety of congenital and acquired abnormalities. Multiple state-of-the art imaging modalities are available to evaluate these pulmonary arterial abnormalities, including computed tomography (CT), magnetic resonance imaging (MRI), echocardiography, nuclear medicine imaging and catheter pulmonary angiography. In part one of this two-part series on state-of-the art pulmonary arterial imaging, we review these imaging modalities, focusing particularly on CT and MRI. We also review the utility of these imaging modalities in the evaluation of pulmonary thromboembolism.

Toward a Neural Model of the Openness-Psychoticism Dimension: Functional Connectivity in the Default and Frontoparietal Control Networks

2019 ◽  
Author(s):  
Scott D. Blain ◽  
Rachael Grazioplene ◽  
Yizhou Ma ◽  
Colin G. DeYoung
Keyword(s):  
Functional Connectivity ◽  
Structural Equation ◽  
Psychotic Disorders ◽  
Neural Model ◽  
Equation Modeling ◽  
Control Networks ◽  
Psychosis Proneness ◽  
Human Connectome Project ◽  
Intrinsic Connectivity Networks ◽  
Personality Psychopathology

Psychosis proneness has been linked to heightened Openness to Experience and to cognitive deficits. Openness and psychotic disorders are associated with the default and frontoparietal networks, and the latter network is also robustly associated with intelligence. We tested the hypothesis that functional connectivity of the default and frontoparietal networks is a neural correlate of the openness-psychoticism dimension. Participants in the Human Connectome Project (N = 1003) completed measures of psychoticism, openness, and intelligence. Resting state functional magnetic resonance imaging was used to identify intrinsic connectivity networks. Structural equation modeling revealed relations among personality, intelligence, and network coherence. Psychoticism, openness, and especially their shared variance, were related positively to default network coherence and negatively to frontoparietal coherence. These associations remained after controlling for intelligence. Intelligence was positively related to frontoparietal coherence. Research suggests psychoticism and openness are linked in part through their association with connectivity in networks involving experiential simulation and cognitive control. We propose a model of psychosis risk that highlights roles of the default and frontoparietal networks. Findings echo research on functional connectivity in psychosis patients, suggesting shared mechanisms across the personality-psychopathology continuum.

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