BACKGROUND Mal de debarquement syndrome is a medically refractory disorder characterized by chronic rocking dizziness that occurs after exposure to passive motion. Repetitive transcranial magnetic stimulation (rTMS) can acutely suppress the rocking dizziness but treatment options that extend the benefit of rTMS are needed. OBJECTIVES 1) To determine whether transcranial direct current stimula...

In order to improve the force performance of traditional anti-buckling energy dissipation bracing with excessive non-recoverable deformation caused by strong seismic action, this paper presents a prestress-braced frame structure system shape memory alloy (SMA) and investigates its characteristics under horizontal load. Firstly, establishes theoretical analysis model analyzing geometric relation...

This article explores the impact of dual pandemics COVID-19 and White rage on critical consciousness-raising. It argues for a reimagining our democracy as practice collective liberation. then outlines framework social justice that moves beyond liberalism to self-interrogation, centering historically minoritized voices, accountability.

High density BaZrO3 ceramic crucibles have been successfully fabricated and used to grow high quality YBa2Cu3O7-x single crystals by the BaO-CuO self flux method. The ceramic crucibles are inert and insoluble in the Y2O3-BaO-CuO melt, have a long lifetime, and can be used repeatedly for crystal growth runs. The crystals grown using the crucibles have not only high chemical purity (99.99-99.995%...

We present a semantic and pragmatic account of the anaphoric properties of past and perfect that improves on previous work by integrating discourse structure, aspectual type, surface structure and commonsense knowledge. A novel aspect of our account is that we distinguish between two kinds of temporal intervals in the interpretation of temporal operators-discourse reference intervals and event ...

This work analyzes centered binary Restricted Boltzmann Machines (RBMs) and binary Deep Boltzmann Machines (DBMs), where centering is done by subtracting offset values from visible and hidden variables. We show analytically that (i) centering results in a different but equivalent parameterization for artificial neural networks in general, (ii) the expected performance of centered binary RBMs/DB...