Osmotic deflation of giant vesicles in the rippled gel phase P(β') gives rise to a large variety of novel faceted shapes. These shapes are also found from a numerical approach by using an elastic surface model. A shape diagram is proposed based on the model that accounts for the vesicle size and ratios of three mechanical constants: in-plane shear elasticity and compressibility (usually neglect...

Thin solid shell contrast agents bubbles are expected to undergo different volume oscillating behaviors when the acoustic power is increased: small oscillations when the shell remains spherical, and large oscillations when the shell buckles. Contrary to bubbles covered with thin lipidic monolayers that buckle as soon as compressed: the solid shell bubbles resist compression, making the buckling...

A 32-year-old female who underwent scleral buckle removal presented 5 weeks postoperatively with a red, fluctuant subconjunctival mass. CT scan identified an irregularly bordered, hypoattenuated lesion next to the globe with the density of air. Ophthalmic plastic and reconstructive surgeons were consulted to evaluate orbital cellulitis with intraorbital gas, at which point it was deemed that th...

The authors relate an uncommon case of pyogenic granuloma restricted to tarsal conjunctiva post retinopexy with scleral buckle.

Quantitative nanoindentation of nominally 7.5 and 600 μm tall vertically aligned carbon nanotube (VACNT) arrays is observed in situ within an SEM chamber. The 7.5 μm array consists of highly aligned and weakly interacting CNTs and deflects similarly to classically defined cylindrical columns, with deformation geometry and critical buckling force well estimated using the Euler-Bernoulli theory. ...

Current theories suggest that causal learning is based on covariation information. However, information about the presence/absence of events (particularly causes) is frequently unavailable, rendering them unobserved. The current paper presents a new model of causal learning, BUCKLE (Bidirectional Unobserved Cause LEarning), which extends existing models of causal learning by dynamically inferri...