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What makes a good lighting designer?

Interview with Doug Kirby:

Let’s start at the beginning. Why do you become a lighting designer?

First and foremost, I love lighting. It’s a huge part of my creative process. I love looking at art, design, and architecture and how light reacts with it. Once I met my wife, she challenged me to be bolder, to stop using good enough, and just do it better. I started branching out into the lighting sector, focusing on how design can affect a location, and most recently how light can affect your


AeroSim LS7 a large multiplayer community is dedicated to providing an unmatched simulation of the F16, the 767 and the 787.Stent thrombosis with drug-eluting stents: review of the literature.
The first-generation sirolimus- and paclitaxel-eluting stents showed a low incidence of in-stent thrombosis. The rate of late stent thrombosis associated with bare-metal stents was significantly higher, resulting in increasing concerns about the safety of drug-eluting stents. The development of the everolimus-eluting stent seemed to overcome the problems associated with the previous stents, with lower rates of in-stent thrombosis compared with sirolimus or paclitaxel stents. Although drug-eluting stents are designed to be ‘one-shot’ drugs, some studies have reported early and late restenosis even after a long period. In this article, we review the risk factors, preventive strategies and management of stent thrombosis with stents coated with sirolimus, paclitaxel and everolimus.—
abstract: ‘For any two random variables $X$, $Y$, the Hellinger distance between $X$ and $Y$ is defined by $H(X,Y):=\frac{1}{2}\log\left(\frac{\max\{ {{\mathbb E}}[X^2], {{\mathbb E}}[Y^2]\} }{{{\mathbb E}}[XY]}\right)$. In this work, we investigate the problem of minimax estimation of the Hellinger distance between random vectors with respect to the maximum error. We give general results for both minimax estimation and optimal testing when all coordinate functions are either constrained or independent, and then apply these results to the special case of estimating the Hellinger distance of binary random vectors. We also establish the optimality of linear tests with respect to the minimax rate. Finally, we provide some numerical experiments.’
– ‘George Leitersdorf[^1]’
– ‘Maria Ruben[^2]’
– ‘Christian Schedl[^3]’
– ‘chreferences.bib’
– ‘**Minimax estimation of the Hellinger distance between two random vectors**’
– ‘**