Glo-net: A dual task branch based neural network for multi-class glomeruli segmentation.

Accurate segmentation and classification of glomeruli are fundamental to histopathology slide analysis in renal pathology, which helps to characterize individual kidney disease. Accurate segmentation of glomeruli of different types faces two main challenges compared to traditional primitives segmentation in computational image analysis. Limited by small kernel size, traditional convolutional neural networks could hardly understand the complete context information of different glomeruli.

[Liver X receptor attenuates renal ischemia-reperfusion injury in mice].

Acute kidney injury (AKI) is a clinical syndrome characterized by a rapid decline in renal function. Renal ischemia-reperfusion injury (RIRI) is one of the main causes of AKI with the underlying mechanism incompletely clarified. The liver X receptors (LXRs), including LXRα and LXRβ, are members of the nuclear receptor superfamily.

Factors That Influence Young Adults' Preferences for Virtual Reality Exergames in a Weight Control Setting: Qualitative Study.

Background: Obesity could compromise people's health and elevate the risk of numerous severe chronic conditions and premature mortality. Young adults are at high risk of adopting unhealthy lifestyles related to overweight and obesity, as they are at a phase marked by several significant life milestones that have been linked to weight gain. They gain weight rapidly and excess adiposity mostly accrues, compared with middle-aged and older adults when weight stabilizes or even decreases.

Anticorrosion coating with near-infrared light triggered precisely controllable self-healing performances.

Great attentions have been paid to anticorrosion coatings with self-healing performances to enhance its reliability and protection period, but massive challenges still remain for developing a coating with selectively triggered and accurately controllable self-healing behaviors. Herein, by integrating lamellar graphene oxide (GO) into a polycaprolactone (PCL) nanofiber loaded with 8-hydroxyquinoline (8HQ) corrosion inhibitors, a composite coating with precisely controllable self-healing capabilities is developed. The coating defects can be remotely and accurately repaired under near-infrared (NIR) light irradiation within a very short time.

Fast STEM image simulation in low-energy transmission electron microscopy by the accurate Chen-van-Dyck multislice method.

The Chen-van-Dyck (CVD) formulation as a rigorous numerical solution to the Schrödinger equation has been demonstrated being the only accurate multislice method for calculating diffraction and imaging in low-energy transmission electron microscopy. The CVD formulation not only considers the forward scattering effects but also includes the backscattering effects. However, since its numerical computation has to be performed in real-space, the CVD method may suffer from divergence and inefficiency in computing time, especially when used for low-energy scanning transmission electron microscopy (STEM) image simulation.