Abstract: The present disclosure is concerned with thioquinolinone compounds for the treatment of disorders associated with heme oxygenase-1 (HO-1) signaling dysfunction such as, for example, kidney diseases (e.g., chronic kidney disease, acute kidney injury). This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present invention.

Abstract: This invention is in the field of medicinal chemistry. In particular, the invention relates to a new class of small-molecules having a thiopyrimidinone structure which function as inhibitors of ALDH protein, and their use as therapeutics for the treatment of cancer and other diseases.

Abstract: An in-vehicle communication device on a transmitting side of a message includes: a delay time measuring unit measuring a delay time from when transmission of a message is first attempted to when the transmission of the message is started; and an assigning unit assigning the delay time measured by the delay time measuring unit to the message. An in-vehicle communication device on a receiving side of a message includes: a reception point acquisition unit acquiring a point in time when a message from the in-vehicle communication device on the transmitting side is received; a delay time acquisition unit acquiring a delay time assigned to the received message; and a calculation unit calculating a transmission cycle of each message based on a point in time acquired by the reception point acquisition unit and a delay time acquired by the delay time acquisition unit for each of two received messages.

Abstract: Systems and methods described herein relate to jointly training a machine-learning-based monocular optical flow, depth, and scene flow estimator. One embodiment processes a pair of temporally adjacent monocular image frames using a first neural network structure to produce a first optical flow estimate; processes the pair of temporally adjacent monocular image frames using a second neural network structure to produce an estimated depth map and an estimated scene flow; processes the estimated depth map and the estimated scene flow using the second neural network structure to produce a second optical flow estimate; and imposes a consistency loss between the first optical flow estimate and the second optical flow estimate that minimizes a difference between the first optical flow estimate and the second optical flow estimate to improve performance of the first neural network structure in estimating optical flow and the second neural network structure in estimating depth and scene flow.

Abstract: Antibodies, antigen-binding fragments and polypeptides that bind to HER2 are disclosed, as well as nucleic acids and vectors encoding the same. Also provided are cells comprising the antibodies, antigen-binding fragments, polypeptides, nucleic acids and vectors, methods of making such molecules, and the use of such molecules for therapeutic applications.

Abstract: The present disclosure relates to a system and method for detecting occupants, and more specifically, to a system and method for accurately detecting positions of occupants in a building using beacon signals.

Abstract: Systems and methods described herein relate to jointly training a machine-learning-based monocular optical flow, depth, and scene flow estimator. One embodiment processes a pair of temporally adjacent monocular image frames using a first neural network structure to produce an optical flow estimate and to extract, from at least one image frame in the pair of temporally adjacent monocular image frames, a set of encoded image context features; triangulates the optical flow estimate to generate a depth map; extracts a set of encoded depth context features from the depth map using a depth context encoder; and combines the set of encoded image context features and the set of encoded depth context features to improve performance of a second neural network structure in estimating depth and scene flow.

Abstract: The present disclosure describes various embodiments of systems, apparatuses, and methods for implementing an array antenna having a combination of ferromagnetic and nonferromagnetic conductors in alternating multilayers. One such antenna device comprises an array of patch antennas on a substrate, wherein the patch antennas are formed of a combination of ferromagnetic and nonferromagnetic conductors in alternating multilayers; and a microstrip feeding line coupled to the array of patch antennas. Other systems, apparatuses, and methods are also presented.

Abstract: An aerial vehicle including a body, a first ranging device, a second ranging device and a controller is provided. The first ranging device is disposed on the body and is configured to detect a first distance between the first ranging device and the reflector. The second ranging device is disposed on the body and is configured to detect a second distance between the second ranging device and the reflector. The controller is configured to obtain an included angle between a direction of the body and the reflector according to the first distance and the second distance.

Abstract: Provided herein are polynucleic acids and expression vectors for the expression and secretion of angiotensin peptide fragments (e.g., angiotensin-(1-7)) in probiotic bacteria. Provided herein are also probiotic compositions that enable efficient, cost-effective and patient friendly oral therapeutics for treating diverse pathological conditions that involve the renin-angiotensin system (RAS), e.g., pulmonary hypertension, diabetes, diabetic complications, cardiovascular diseases, and ocular inflammatory and neurodegenerative diseases.

Abstract: Disclosed is a composite for forming a coacervate interfacial film. The composite for forming the coacervate interfacial film contains a cationic hectorite nanoplate-shaped particle structure containing a hectorite nanoplate-shaped particle and a cationic surfactant coupled to a surface of the hectorite nanoplate-shaped particle, and an anionic cellulose nanofibril containing an anionic functional group in at least a portion thereof, in which the composite may form the coacervate interfacial film at an interface of an oil phase and a water phase through electrostatic interaction between the cationic surfactant and the anionic functional group.

Abstract: A method for adjusting a seat in a vehicle includes adjusting the seat from an initial position to a passenger adjusted position based on receiving an input from a passenger. The method further includes determining the passenger exited the vehicle after adjusting the seat and predicting a likelihood of the passenger returning to the vehicle based on determining the passenger exited the vehicle. The method also includes adjusting the seat to the initial position based on the likelihood of the passenger returning is less than a passenger returning threshold. The method still further includes identifying a person approaching the vehicle after the passenger exited the vehicle based on information captured by one or more sensors of the vehicle. The method also includes adjusting the seat to a position associated with the previous passenger based on identifying the person approaching the vehicle as the previous passenger.

Abstract: Disclosed is an express tricycle target object, falling within the field of intelligent connected vehicle (ICV) test equipment. A base plate, vehicle body support plates, two lateral support plates, a vehicle head support plate, several locking mechanisms and skins are included. The vehicle body support plates, the lateral support plates and the vehicle head support plate are assembled into the shape of the express tricycle target object via the locking mechanisms, and different parts of the skins are arranged with wave-absorbing sponges to reduce a radar cross section or with metal substances to enhance a radar cross section, to solve the problem of the insufficient coverage of traffic accident scenes in current tests of the active safety performance of ICVs.

Abstract: Various embodiments may relate to a liquid cooling module. The liquid cooling module may include a main body. The main body may include a cooling core including a microfluidic structure configured to carry a cooling liquid. The main body may also include a plurality of slots. The liquid cooling module may further include a sealing pad configured to transmit heat from an electronic device to the cooling core. The liquid cooling module may additionally include a plurality of fins extending from the main body, each of the plurality of fins including an internal circulating liquid duct such that the liquid cooling module includes a plurality of internal circulating liquid ducts in fluidic communication with the microfluidic structure.

Abstract: A method and a system for controlling at least one of a traffic infrastructure device, an actuator of a traffic participant based on enhanced traffic data is provided. The method comprises steps of monitoring, by a trigger processor, an area; generating, by the trigger processor, trigger data in case a trigger event is determined in the monitored area and providing the generated trigger data indicating an area-of-interest to an image data source; obtaining image data on the area-of-interest based on the transmitted trigger data and transmitting the obtained image data to a traffic evaluation processor; evaluating, by the traffic evaluation processor, the obtained image data to generate enhanced traffic data on the area-of-interest; and outputting, by the traffic evaluation processor, the generated enhanced traffic data in a control signal, wherein the control signal is configured to control the traffic infrastructure device and/or the actuator of the traffic participant.

Abstract: A system and method for performing an electrocardiogram is described herein. The system may include one or more of an electrode strip, a data recorder, a connector, one or more computing platforms, and/or other components. The electrode strip may include multiple electrodes configured to provide signals conveying information associated with electrocardiograms. The multiple electrodes may be integrated into the electrode strip. The data recorder may be configured to receive and record information associated with electrocardiograms. Information associated with electrocardiograms may be communicated from the electrode strip to the data recorder via a connector. The connector may include a cableless connector. In some implementations, the information associated with electrocardiograms may be transmitted to one or more computing platforms.

Abstract: The present invention relates to a guiding apparatus for an imaging light path and a guiding method thereof. The guiding apparatus comprises at least one light-projection system to project at least one visible light beam and at least one light-guiding device disposed corresponding to the light-projection system. The light-guiding device has a first end, a second end, and a light path disposed between the first end and the second end. The visible light beam projected from the light-projection system is received at the first end and guided to an image-receiving object, including but not limited to the user's eyes, out of the second end through the light path to form a real or virtual image. The effects of high brightness of the visible light beam arriving at the image-receiving object, low consumption of light energy, and improved installation flexibility in a space-limited apparatus can be obtained.

Abstract: This document provides materials and methods for identifying and quantifying AIM polypeptides in a sample using mass spectrometry techniques. For example, methods of using mass spectrometry to identify and quantify AIM polypeptides in a serum sample are provided. In some cases, quantification of AIM polypeptides can be used to diagnose and/or treat patients having a disease or disorder characterized by altered (e.g., increased or decreased) AIM polypeptide levels.

Abstract: A method comprising: at a training stage, training a machine learning algorithm on a training set comprising: (i) Heart Rate Variability (HRV) parameters extracted from temporal beat activity samples, wherein at least some of said samples include a representation of a Ventricular Fibrillation (VF) event, (ii) labels associated with one of: a first period of time immediately preceding a VF event in a temporal beat activity sample, a second period of time immediately preceding the first period of time in a temporal beat activity sample, and all other periods of time in a temporal beat activity sample; at an inference stage, receiving, as input, a target HRV parameters representing temporal beat activity in a subject; and applying said machine learning algorithm to said target HRV parameters, to predict an onset time of a VF event in said subject.

Abstract: The general problem of pattern change discovery between high-dimensional data sets is addressed by considering the notion of the principal angles between the subspaces is introduced to measure the subspace difference between two high-dimensional data sets. Current methods either mainly focus on magnitude change detection of low-dimensional data sets or are under supervised frameworks. Principal angles bear a property to isolate subspace change from the magnitude change. To address the challenge of directly computing the principal angles, matrix factorization is used to serve as a statistical framework and develop the principle of the dominant subspace mapping to transfer the principal angle based detection to a matrix factorization problem. Matrix factorization can be naturally embedded into the likelihood ratio test based on the linear models. The method may be unsupervised and addresses the statistical significance of the pattern changes between high-dimensional data sets.