Fusion of Visible and Infrared Aerial Images from Uncalibrated Sensors Using Wavelet Decomposition and Deep Learning.

Multi-modal systems extract information about the environment using specialized sensors that are optimized based on the wavelength of the phenomenology and material interactions. To maximize the entropy, complementary systems operating in regions of non-overlapping wavelengths are optimal. VIS-IR (Visible-Infrared) systems have been at the forefront of multi-modal fusion research and are used extensively to represent information in all-day all-weather applications.

The impact of library size and scale of testing on virtual screening.

Virtual ligand libraries for ligand discovery have recently increased 10,000-fold. Whether this has improved hit rates and potencies has not been directly tested. Meanwhile, typically only dozens of docking hits are assayed, clouding hit-rate interpretation.

A Novel Porcine Model of Bilateral Hindlimb Bypass Graft Surgery Integrating Transit Time Flowmetry.

Background: Bypass graft surgery is a key surgical intervention for ischemic heart disease (coronary bypass graft surgery) and critical limb ischemia (peripheral bypass graft surgery). Graft occlusion remains a significant clinical problem for both types. Further research into the pathobiological mechanisms of graft occlusion are needed in order to design targeted therapeutic strategies.

Population pharmacokinetics of caspofungin in critically ill patients receiving extracorporeal membrane oxygenation-an ASAP ECMO study.

This study aimed to describe the population pharmacokinetics of caspofungin in critically ill patients receiving extracorporeal membrane oxygenation (ECMO) and to identify dosing regimens with a high likelihood of achieving effective exposures. Serial blood samples were collected over a single-dosing interval during ECMO. Total plasma concentrations were measured by a validated chromatographic assay.

With a little help from my friends: Social support, hope and climate change engagement.

Hope is a future-oriented emotion that attunes people to the possibility of positive change, and thus could potentially catalyse societal engagement with climate change. A recent meta-analysis suggests that the relationship between hope and climate action is most robust when the target of hope is climate engagement (i.e.