From locked-down to locked-in? COVID-induced social practice change across four consumption domains

Cavity-locked ring-down spectroscopy

Locked-floating-solid to locked-smectic transition in colloidal systems.

We investigate two-dimensional melting of a colloidal system in the presence of a one-dimensional periodic substrate potential created by two interfering laser beams. We study the commensurability ratio p=sqrt[3]a/2d=2 with a the mean particle distance and d the period of the periodic potential. In contrast with the previously investigated case p=1, here we observe that melting of the locked-fl...

Verification of a Locked CFD Approach to Cool Down Modeling

Increasing demand on the performance of Subsea Production Systems (SPS) suggests a need for more detailed investigation of fluid behavior taking place in subsea equipment. Complete CFD cool down analyses of subsea equipment are very time demanding. The objective of this paper is to investigate a Locked CFD approach, which enables significant reduction of the computational time and at the same t...

Transition from the locked in to the completely locked-in state: a physiological analysis.

OBJECTIVE To clarify the physiological and behavioral boundaries between locked-in (LIS) and the completely locked-in state (CLIS) (no voluntary eye movements, no communication possible) through electrophysiological data and to secure brain-computer-interface (BCI) communication. METHODS Electromyography from facial muscles, external anal sphincter (EAS), electrooculography and electrocortico...

Locked, Unlocked and Semi-locked Network Weights for Four Different Camera Calibration Problems

Backpropagation training algorithms typically view network weights as a single vector of isotropic parameters to be minimized. In contrast, we present a neural network in which each network weight has its own physical meaning and its di erent role during network training. The network is used to solve four di erent types of calibration problems found in computer vision applications. A network we...