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Metrology for industrial quantum communications: the MIQC project
Rastello, M L,Degiovanni, I P,Sinclair, A G,K?ck, S,Chunnilall, C J,Porrovecchio, G,Smid, M,Manoocheri, F,Ikonen, E,Kubarsepp, T,Stucki, D,Hong, K S,Kim, S K,Tosi, A,Brida, G,Meda, A,Piacentini, F,Tra BUREAU INTERNATIONAL DES POIDS ET MESURES 2014 METROLOGIA -BERLIN- Vol.51 No.6
INVESTING IN EMERGING MARKETS: AN ANALYSIS AT COUNTRY, INDUSTRY AND COMPANY LEVELS
C Donald Sinclair,A Alasdair Lonie,David M Power,Suzanne G M Fifield People&Global Business Association 1999 Global Business and Finance Review Vol.4 No.1
Over the last decade a number of studies have examined the costs and benefits of investing in equities traded in emerging markets. Many of these studies have focused on aggregate index data supplied by the IFC. By contrast, the present investigation employs disaggregated weekly returns data for the top 20 shares, by market value, from 17 emerging markets between 1991 and 1996. It examines the possible gains from international diversification into these markets and determines whether knowledge of the country in which a selected company is located is more important than knowledge of the industry in which it operates.
Computational Methods for Patient-Specific Perfusion Simulations of Coronary Arteries
Hyun Jin Kim(김현진),L. Papamanolis,C. Jaquet,M. Sinclair,M. Schaap,I. Danad,P. van Diemen,P. Knaapen,L. Najman,H. Talbot,C. A. Taylor,I. E. Vignon-Clementel 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.4
Patient-specific computational simulations of blood flow are utilized to diagnose and predict treatment outcomes of coronary artery disease. The computational simulations, however, are limited when estimating perfusion in the myocardium as multiscale vessels from arteries to capillaries need to be developed. We propose a multiscale patient-specific computational model framework to simulate blood flow from large coronary arteries to myocardial tissues. Patient vasculatures were segmented from coronary computed tomography angiography data and then extended from the image-based model down to the arteriole level using a space-filling synthetic forest of arterial trees. Blood flow is modelled by coupling a 1-D model of the coronary arteries to a single-compartment Darcy myocardium model. Simulated results for 5 patients with non-obstructive coronary artery disease are compared to [<sup>15</sup>O]H<sub>2</sub>O PET exam data for both resting and hyperemic conditions. Results on a patient with a severe disease demonstrate coronary artery disease can predict myocardial regions with perfusion deficit. This multiscale computational model of simulating blood flow from the epicardial coronary arteries to the left ventricle myocardium will be further validated and applied to human data.