These problems were presented at the Third International Conference on Discrete Metric Spaces, held at CIRM, Luminy, France, 15{18 September 1998. The names of the originators of a problem are given where these are known and diierent from the presenter of the problem at the conference. Terminology: In a metric space, the point y is between x and z if d(x; y) + d(y; z) = d(x; z). A d-segment is ...

This paper gathers the supplementary material to de Chaisemartin (2016). I show that one can estimate quantile treatment e ects in the comvivors subpopulation, that one can test the CD condition, and that my results extend to multivariate treatment and instrument, to fuzzy regression discontinuity designs, and to the bounds in Lee (2009) for survey nonresponse. ∗Department of Economics, Univers...

We measured vestibular perceptual thresholds in 105 healthy humans (54F/51M) ranging from 18 to 80 years of age. Direction-recognition thresholds were measured using standard methods. The motion consisted of single cycles of sinusoidal acceleration at 0.2 Hz for roll tilt and 1.0 Hz for yaw rotation about an earth-vertical axis, inter-aural earth-horizontal translation (y-translation), inferior...

Over the last decade, a normative framework for making causal inferences, Bayesian Probabilistic Causal Networks, has come to dominate psychological studies of inference based on causal relationships. The following causal networks-[X→Y→Z, X←Y→Z, X→Y←Z]-supply answers for questions like, "Suppose both X and Y occur, what is the probability Z occurs?" or "Suppose you intervene and make Y occur, w...

In this brief survey we give an introduction to some aspects of “atoms” on metric spaces and their connection with linear operators. Let (M, d(x, y)) be a metric space. For the purposes of this article, the underlying set M will always be assumed to contain at least 2 distinct elements. As usual, the distance function d(x, y) should satisfy d(x, y) ≥ 0 for all x, y ∈ M , d(x, y) = 0 if and only...

Three soft comput ing paradigms f o r automated learning in robotic s y s t e m s are briefly described. T h e f i r s t emp loys G e n e t i c Programming (GP) t o evolve ru l e s f o r f i z zy -behav iors t o be used in m o bile robot control. T h e second paradigm develops a two-level hierarchical f u z z y control s tructure f o r f lexible man ipu la tor s . It incorporates G e n e t i c ...

Photosystem II (PSII) oxidizes two water molecules to yield dioxygen plus four protons. Dioxygen is released during the last out of four sequential oxidation steps of the catalytic centre (S(0) --> S(1), S(1) --> S(2), S(2) --> S(3), S(3) --> S(4) --> S(0)). The release of the chemically produced protons is blurred by transient, highly variable and electrostatically triggered proton transfer at...

ion before(task(Si,Di), task(Sj,Dj)) :Si+Di #<= Sj. Conjunction between(X,Y,Z) :X #< Y, Y #< Z. Disjunction (but see below) neighbour(X,Y) :( X #= Y+1 ; Y #= X+1 ). Iteration not_among(X, L) :( foreach(Y,L),param(X) do X #\= Y ). Recursion not_among(X, []). not_among(X, [Y|Ys]) :X #\= Y, not_among(X, Ys). 11.4 Same Problem Different Model There are often many ways of modelling a problem. Consid...

ion before(task(Si,Di), task(Sj,Dj)) :Si+Di #<= Sj. Conjunction between(X,Y,Z) :X #< Y, Y #< Z. Disjunction (but see below) neighbour(X,Y) :( X #= Y+1 ; Y #= X+1 ). Iteration not_among(X, L) :( foreach(Y,L),param(X) do X #\= Y ). Recursion not_among(X, []). not_among(X, [Y|Ys]) :X #\= Y, not_among(X, Ys). 11.4 Same Problem Different Model There are often many ways of modelling a problem. Consid...