From Time to Time: Auto-Affection in Derrida’s 1964-65 Heidegger Course

Inferring the perturbation time from biological time course data

MOTIVATION Time course data are often used to study the changes to a biological process after perturbation. Statistical methods have been developed to determine whether such a perturbation induces changes over time, e.g. comparing a perturbed and unperturbed time course dataset to uncover differences. However, existing methods do not provide a principled statistical approach to identify the spe...

Real-Time Kinematic Network of Tehran, from Design to Application

Following the request of the Tehran municipality and in order to provide the spatial information required in their various projects, a real-time kinematic network has been designed for Tehran. Based on the existing measures such as the dilution of precision at the network point positions, two different designs have been proposed. A minimum number of six GNSS stations are used in both of the pro...

From Reconstructive Triangle to Reconstructive Quadrangle: Time to Include Tissue Distraction in the Reconstructive Algorithms

To “ Inferring Network Structure from Interventional Time - Course Experiments

Furthermore this orthogonalisation can be used to improve computational effeciency when comparing a large number of models with the same X0. Define x ′ = (In − P 0)x (which can be precomputed) and then assuming that X0Xγ = 0a×b, we have x T (In − P 0 − P γ)x = x′T (In − P γ)x. This reduces the number of computations that have to be performed for each model matrix Xγ . When the only parameter co...

Supplement to “ Inferring Network Structure from Interventional Time - Course Experiments ”

Furthermore this orthogonalisation can be used to improve computational effeciency when comparing a large number of models with the same X0. Define x ′ = (In − P 0)x (which can be precomputed) and then assuming that X0Xγ = 0a×b, we have x T (In − P 0 − P γ)x = x′T (In − P γ)x. This reduces the number of computations that have to be performed for each model matrix Xγ . When the only parameter co...