Abstract: A molecular structure comprising a hyaluronic acid moiety or a crosslinked form thereof, and a plurality of controllably released bioactive agents attached thereto is provided herein, as well as processes for obtained the same and methods of treating a skin conditions using the same.

Abstract: The invention is concerned with a method for operating a lidar scanner (12) in a vehicle (10), wherein several successive measurement cycles (28) for scanning the surroundings (13) of the vehicle (10) are performed, wherein in a fixed scanning pattern (29) relative positions (30) of the sampling points (16) are the same for the successive measurement cycles (28) and wherein for each measurement cycle (28) a laser source (23) and a pattern generator (24) together generate the fixed scanning pattern (29). A shifting unit (32) shifts the fixed scanning pattern (29) of successive measurement cycles (28) relatively to the vehicle (10) and/or distorts the fixed scanning pattern (29) of successive measurement cycles (28) in order to generate an external scanning pattern (15) that is emitted into the surroundings (13).

Abstract: Aspects of the present disclosure relate generally to systems and methods for use in the implementation and/or operation of quantum information processing (QIP) systems, and more particularly, to the use of computational symmetries for error mitigation in quantum computations in QIP systems.

Abstract: A method for processing a 360-degree image includes determining a processing order of each of a plurality of segments constituting a 360-degree image, based on positions of the segments and parameters of a camera by which the 360-degree image is captured, obtaining distortion correction information according to distortion in the 360-degree image predicted based on parameters of an optical device via which at least a partial region of the 360-degree image is projected, and processing data of the at least a partial region of the 360-degree image according to the determined processing order and the obtained distortion correction information.

Abstract: A novel and useful mechanism of improving the controllability of the electrostatic potential profile and electric field between barrier/control gates separating quantum dots (QD) in a quantum dot array (QDA) and creating elongated double quantum dot array 2D structures each having capability for a continuous tunneling within the array structure. Plunger gates implemented as blind contacts improve electric field control between barrier gates in a quantum dot array. Blind contacts create a dedicated control potential under multiple blind contact electrodes placed on a metal layer of a standard FDSOI process. They function to control potential well depths independently for neighboring quantum dots. Two or more coupled quantum dots within one elongated active area enables interconnection of neighboring quantum dot chains using a conductive semiconductor well. The blind contacts enable the implementation of charge sensors, precise precharge transistors, and linear and 2D quantum dot array.

Abstract: The route generation device includes a controller configured to generate, in response to acceptance of an allowable arrival time period assigned to at least one of the plurality of destinations, an input of information regarding specifics of a task to be performed at the at least one destination, and setting of a required time period according to the specifics of the task, a route that allows the autonomous mobile body to arrive at the at least one destination within the allowable arrival time period, based on the required time period. The controller is configured to control and cause the autonomous mobile body to travel along the generated route.

Abstract: An electronic device and method are provided. The electronic device includes receiving a plurality of operation contexts for the wearable electronic device to perform an operation according to an operation context, designating a priority between the plurality of operation contexts, calculating a parameter related to a movement of a plurality of cameras to perform an operation context having a top priority, and changing a combined field-of-view (FoV) and overlapping area formed by the plurality of cameras based on the movement of the plurality of cameras, wherein the plurality of cameras are configured to moved, independently.

Abstract: A backlight includes a substrate, a plurality of light sources, a reflective layer, a first diffuser plate, a second diffuser plate, and a color conversion layer. The plurality of light sources are proximate the substrate. The reflective layer is proximate the substrate. The first diffuser plate is over the plurality of light sources. The color conversion layer is between the first diffuser plate and the second diffuser plate.

Abstract: A latch for use in a motor vehicle. The latch including a first housing member, a second housing member, and a clip. The first housing member including a first edge member, the second housing member including a second edge member. The clip including a first leg and a second leg collectively configured to sandwich the first and second edge members to fix the first housing member to the second housing member.

Abstract: A backlight includes a substrate, a plurality of light sources proximate the substrate, a first reflective layer on the substrate, and a plurality of patterned reflectors over the plurality of light sources. Each light source includes a size measured in a plane parallel to the substrate. Each patterned reflector is aligned with a corresponding light source and includes a thickness profile. The thickness profile includes a substantially flat section and a curved section extending from and surrounding the substantially flat section. The substantially flat section varies in thickness by no more than plus or minus 20 percent of an average thickness of the substantially flat section. The substantially flat section includes a size in a plane parallel to the substrate equal to or greater than the size of each light source.

Abstract: A system to deploy virtual sensors to a machine learning project and translate data of the machine learning project is provided. The system can deploy, for a machine learning project, a plurality of virtual sensors at a first location of a plurality of locations to detect metadata of a data source of the machine learning project, at a second location of the plurality of locations to detect deployment information of a model trained for the machine learning project, and at a third location of the plurality of locations to detect learning session information for creation of the model. The system can collect, via the plurality of virtual sensors, data for the machine learning project. The system can translate, for render on a computing system, the data collected via the plurality of virtual sensors into a plurality of graphics.

Abstract: The disclosure relates to a switching process for switching in an autostereoscopic display device from a first view mode to a second view mode, wherein the autostereoscopic display device comprises a display panel, a lenticular device and means for applying a voltage, the process comprising the application of a switching voltage across both switching electrodes of the lenticular device wherein a ramp voltage is applied that increases during a ramp period of at least 0.50 second from a starting voltage at which the lenticular device is in its, first view mode to a final voltage at which the lenticular device is in its second view mode, wherein during at least 0.40 second of the ramp period, the ramp voltage is at an intermediate voltage that is in the range of 5-60% of the minimal voltage; and the final voltage is equal to or higher than minimal voltage.

Abstract: The invention is concerned with a method for performing a calibration procedure for calibrating an eye tracking device (12), wherein a stimulus object (S) is displayed within a certain display area (22), such that the stimulus object (S) is at least temporarily moving along a defined trajectory (26) and images of at least one eye (16) of at least one user (18) are captured during the displaying of the stimulus object (S). Based on the captured images gaze data are provided and in dependency of the gaze data gaze points (P) of the at least one eye (16) of the user (18) with respect to the display area (22) are determined. Further, at least one calibration parameter (a1; a2; a3; a4; a5; a6; a7; a8; a9; a10; a11; a12; a13; a14; ?; R; K; a; b; r) of at least one predefined calibration model (M, M1, M2, M3, M4, M5, M6) is determined in dependency of a first analysis at least of positions of at least part of the respective gaze points (P) with regard to the defined trajectory (26) of the stimulus object (S).

Abstract: Embodiments generate changes to a logical model. Embodiments receive the changes in a configuration file, the changes comprising a declarative configuration, extract the changes and load the changes into a database and update a corresponding database model. Embodiments generate a first logical model that represents the database model and generate a second logical model that includes the changes. Embodiments generate automatically in a container using the declarative configuration a compiled visualization image from the second logical model, wherein the visualization image is adapted to be used by a business intelligence system to provide a visualization of data that incorporates the changes.

Abstract: System and method for power transfer between the two DC voltage sources comprises a first and a second DC voltage source and a DC-DC converter. The DC-DC converter includes a first bidirectional converter, an isolating transformer and a second bidirectional converter. The first bidirectional converter has a bridge circuit of variable configuration to increase the control range of the DC converter, the second pair of input/output pins being connected to the first winding of the isolating transformer via a series connected capacitor. According to the method, the voltage difference between the first and second DC voltage sources is determined, and according to the voltage difference value, the bridge configuration of the first bidirectional converter is changed between full-bridge and half-bridge.

Abstract: A pallet structure includes a positioning mechanism is provided. The positioning mechanism includes an engaging element disposed on a sloping edge and adapted to be engaged with slits formed on the inclined surface of a vehicle. A coil spring is connected between the engaging element and the sloping edge and biasing the engaging element to protrude outward from an outer surface of the sloping edge. A retaining element is disposed between an inner surface of the sloping edge and a bottom deck board of the pallet and configured to retain the engaging element to move between an engaging position and a disengaging position. The protruding end of the engaging element is protruded outward from the outer surface of the sloping edge in the engaging position, and the protruding end of the engaging element is not protruded from the outer surface of the sloping edge in the disengaging position.

Abstract: Embodiments generate machine learning predictions to discover targeted device energy usage. Embodiments train a first machine learning model to predict a presence of a first device, where a training data used to train the first machine is deficient for a second device. Embodiments train a second machine learning model to predict a presence of a second device. Embodiments receive input data of household energy use and weather data and, based on the input data, use the trained first machine learning model to predict the presence of the first device per household. Based on the input data, embodiments use the trained second machine learning model to predict the presence of the second device per household. Embodiments then subtract the households predicted to have the second device from the households predicted to have the first device to generate a prediction of households that have the first device.

Abstract: Disclosed are methods and systems for generating 3D avatars. The method comprises inputting a 2D image comprising an object of interest comprising a face; calculating a set of 2D parameters of the object of interest; inputting the set of 2D parameters into a trained neural network; the neural network outputting an estimated set of 3D avatar parameters, said parameters representing deviations with respect to 3D parameters of a benchmark 3D head model; and applying the set of 3D avatar parameters to the benchmark 3D head model to obtain the 3D avatar.

Abstract: In one embodiment, a method includes receiving, by one or more processors of an information processing system, one or more results of a task. The method includes determining, by the one or more processors, an accuracy confidence score for each result of the task. The method includes determining, by the one or more processors, that the results satisfy an accuracy quality threshold set for the task based on the accuracy confidence score for each result of the task. The method includes providing, by the one or more processers, a determination for the task to a customer system in response to the determination that the results satisfy the accuracy quality threshold.