Abstract: A vertical farming system, including: a plurality of tray-receptacles, each having a tray-surface area for a soilless growing environment for plants; a vertical supporting structure arranged and adapted to accommodate the plurality of tray-receptacles in a vertically stacked arrangement along a plurality of shelf positions; a tray-receptacle transport device arranged and adapted to move the tray-receptacles along the vertical supporting structure between the different shelf positions; an airflow-ducting device arranged and adapted to transport an airflow to and from the plurality of shelf positions; a plurality of vertically stacked airflow docking members to provide airflow from the air ducting device to the shelf positions; and a plurality of airflow-benches.

Abstract: System and computer-implemented method for detecting and categorizing pathologies through an analysis of pulsatile blood flow. The method has a pulsatile blood flow signal of a subject, extracting a set of features from the pulsatile blood flow signal; and categorizing a pathology based on the extracted features. The extracted features may be predetermined features or features learned through a machine learning algorithm. For the categorization, a classification or a regression algorithm may be used to provide an index or a value score as a biomarker. Additional static features of the subject may be used in the categorization.

Abstract: A navigation system for an automated guided vehicle comprises a set of marking elements which are to be arranged in grid form on the floor and in which navigation information is encoded; a sensor device to be arranged at the automated guided vehicle for reading navigation data from the marking elements; and an evaluation device connected to the sensor device for generating control signals for the automated guided vehicle with reference to read navigation data. Each of the marking elements has at least two graphical code patterns that are each designed as one-dimensional code patterns and comprise a code applied along a scanning direction, with the scanning directions of the at least two graphical code patterns being aligned offset from one another by an angular offset.

Abstract: System and computer-implemented method for detecting and categorizing pathologies through an analysis of pulsatile blood flow. The method has a pulsatile blood flow signal of a subject, extracting a set of features from the pulsatile blood flow signal; and categorizing a pathology based on the extracted features. The extracted features may be predetermined features or features learned through a machine learning algorithm. For the categorization, a classification or a regression algorithm may be used to provide an index or a value score as a biomarker. Additional static features of the subject may be used in the categorization.

Abstract: A navigation system for an automated guided vehicle comprises a set of marking elements which are to be arranged in grid form on the floor and in which navigation information is encoded; a sensor device to be arranged at the automated guided vehicle for reading navigation data from the marking elements; and an evaluation device connected to the sensor device for generating control signals for the automated guided vehicle with reference to read navigation data. Each of the marking elements has at least two graphical code patterns that are each designed as one-dimensional code patterns and comprise a code applied along a scanning direction, with the scanning directions of the at least two graphical code patterns being aligned offset from one another by an angular offset.