Abstract: A transportation vehicle navigation method with a navigation system of a transportation vehicle for determining at least one route and navigation based on the determined route according to a position of the transportation vehicle. The method includes detecting at least one environmental characteristic of the transportation vehicle, specific for at least one emission of the transportation vehicle, by at least one sensor of the transportation vehicle to determine a detection result; performing an evaluation of the detection result to determine an evaluation result; and adapting the determined route during the navigation based on the evaluation result.

Abstract: In some embodiments, the present disclosure is directed to coatings or thin films comprising a dye or stain embedded within a matrix, e.g. a polymer matrix.

Abstract: The present invention relates to an antibody or an antigen binding fragment thereof that specifically binds to ?-1,6-core-fucosylated prostate specific antigen (PSA) and partial sequences thereof comprising the ?-1,6-core-fucose residue. The antibodies and antigen binding fragments significantly discriminate between core-fucosylated PSA or core-fucosylated PSA partial sequences and other glycosylated PSA species and partial sequences thereof lacking the core-fucose residue, including aglycosylated PSA, as well as core-fucosylated glycan in other contexts. The present invention further relates to nucleic acid molecules encoding the light chain variable region or the heavy chain variable region of the antibody of the invention, as well as vectors comprising said nucleic acid molecules.

Abstract: A method and system for classifying field of view (FOV) images of histological slides into various categories that include certain stain patterns, artifacts, and/or other features of interest are provided herein. Few-shot learning (e.g., a prototypical network) techniques are used to train a deep convolutional neural network using a small number of training samples for a small number of image classes for classifying stain images belonging to a larger number of image classes.

Abstract: The present disclosure is directed to specimen processing assemblies including (a) a lower plate (10), (b) an upper plate (30) complementary to the lower plate, and (c) a chamber formed therefrom. In some embodiments, the formed chamber is adapted to perform an unmasking operation, e.g. antigen retrieval and/or target retrieval. In some embodiments, the specimen processing assemblies are configured to maintain a specimen-bearing substrate (15) horizontal during all processing steps. The present disclosure is also directed to systems including one or more independently operable specimen processing assemblies.

Abstract: In some embodiments, the present disclosure is directed to coatings or thin films comprising a dye or stain embedded within a matrix, e.g. a polymer matrix.

Abstract: In a screen stand, a flat screen is held in a holder having side bars and crossbars. A faceplate borders on the flat screen. The crossbars are adjustable in their length and their position relative to the side bars. The screen stand has a foot and the holder supports the flat screen on the foot.