Event-driven Intermittent control (IC) has been used as a framework to explain relevant aspects of human movement. The events, which are generated by states crossing predefined thresholds, give rise state trajectories that mimic those continuous controller, only using feedback information at event times. Here we present the results an optimisation approach identify parameters intermittent contr...

This paper gives a sharp lower bound on the spectral radius ρ(A) of a reciprocal Perron–Frobenius matrix A ∈ M2g(Z), and shows in particular that ρ(A) ≥ (3 + √ 5)/2. This bound supports conjectures on the minimal entropy of pseudo-Anosov maps. The proof is based on a study of the curve complex of a directed graph.

this study investigated the effect of reciprocal teaching (rt) on efl learners’ reading comprehension. fifty intermediate learners participated in the study and were sampled as the experimental (n = 25) and control groups (n = 25). participants were male and ranged in age from 15 to 16. the reading section of key english test (ket, 2010) was used as the pretest to assess the participants’ entry...

OR different organisms rare wild type segregants have been observed in crosses F involving independently isolated mutants which all show the same phenotypic effect. In all cases in which markers on one or both sides of these mutational sites were present the segregants which are wild type with respect to the isolocaP markers are associated with outside marker combinations which in the crossing ...

Inhibitory amacrine cells (ACs) filter visual signals crossing the retina by modulating the excitatory, glutamatergic output of bipolar cells (BCs) on multiple temporal and spatial scales. Reciprocal feedback from ACs provides focal inhibition that is temporally locked to the activity of presynaptic BC activity, whereas lateral feedback originates from ACs excited by distant BCs. These distinct...

We compute the rst N coeecients of the reciprocal r(x) of a given polynomial p(x), (r(x)p(x) = 1 mod x N , p(0) 6 = 0), by using, under the PRAM arithmetic models , O(h log N) time-steps and O((N=h)(1 + 2 ?h log (h) N)) processors, for any h, h = 1; 2; : : : ; log N, provided that O(log m) steps and m processors suuce to perform DFT on m points and that log (0)