Discovery and Characterization of Fluopipamine, a Putative Cellulose Synthase 1 Antagonist within .

Herbicide-resistant weeds are increasingly a problem in crop fields when exposed to similar chemistry over time. To avoid future yield losses, identifying herbicidal chemistry needs to be accelerated. We screened 50,000 small molecules using a liquid-handling robot and light microscopy focusing on pre-emergent herbicides in the family of cellulose biosynthesis inhibitors.

Stevens-Johnson syndrome and toxic epidermal necrolysis from pathologist's point of view.

Stevens-Johnson syndrome and toxic epidermal necrolysis (Lyell syndrome) are rare diseases characterized by rapid blistering followed by extensive skin and mucosal exfoliation and constitutional symptoms. In most cases, drugs are the main triggers, but the etiopathogenesis of the diseases is not fully understood. Lyell syndrome is associated with a high mortality rate, reported to be around 35%.

Clinical and histopathological aspects of the most common inflammatory non-infectious skin diseases.

The authors present a didactic overview of the most common inflammatory non-infectious skin diseases. This overview is not exhaustive, but illustrative, especially when regarding the aspect of a systematic approach to the evaluation of skin biopsy with an initial evaluation of the morphological pattern of the inflammatory process. This will subsequently facilitate the diagnosis.

Diagnostic Pitfalls in Dermatopathology.

Dermatopathology is a distinct part of pathology revealing the rich association with soft tissue pathology and hematopathology. Regarding the number and diversity of the skin disorders, dermatopathology is a broad specialty encompassing hundreds of diseases. The diagnostics in dermatopathology contains a range of specific features.

Visual state estimation in unseen environments through domain adaptation and metric learning.

In robotics, deep learning models are used in many visual perception applications, including the tracking, detection and pose estimation of robotic manipulators. The state of the art methods however are conditioned on the availability of annotated training data, which may in practice be costly or even impossible to collect. Domain augmentation is one popular method to improve generalization to out-of-domain data by extending the training data set with predefined sources of variation, unrelated to the primary task.