Abstract: The invention relates to inhibitors of mutant isocitrate dehydrogenase (mt-IDH) proteins with neomorphic activity useful in the treatment of cell-proliferation disorders and cancers, having the Formula: where A, B, U, V, Z, W1, W2, W3, and R1-R6 are described herein.

Abstract: In some embodiments, the present disclosure pertains to methods of producing a graphene material by exposing a polymer to a laser source. In some embodiments, the exposing results in formation of a graphene from the polymer. In some embodiments, the methods of the present disclosure also include a step of separating the formed graphene from the polymer to form an isolated graphene. In some embodiments, the methods of the present disclosure also include a step of incorporating the graphene material or the isolated graphene into an electronic device, such as an energy storage device. In some embodiments, the graphene is utilized as at least one of an electrode, current collector or additive in the electronic device. Additional embodiments of the present disclosure pertain to the graphene materials, isolated graphenes, and electronic devices that are formed by the methods of the present disclosure.

Abstract: The application relates to inhibitors of USP1 useful in the treatment of cancers, and other USP1 associated diseases and disorders, having the Formula: where R1, R2, R3, R3?, R4, R5, X1, X2, X3, X4, and n are described herein.

Abstract: The present disclosure provides a method for generating an object detection box, comprises: obtaining a set of point-cloud data frames collected by a radar device within a set period; obtaining, from the set, a first point-cloud data frame corresponding to a first time when an unmanned vehicle is closest to a target object, and obtaining first detection box information corresponding to the target object in the first point-cloud data frame that is obtained through an automatic detection algorithm; determining whether the first detection box information is valid detection box information with respect to a second cloud-point data frame in the set that corresponds to a second time prior to the first time; and determining whether the first detection box information is to be used as final detection box information of the target object in the second point-cloud data frame according to the result of the determination.

Abstract: The invention concerns to a gradient coil assembly (62) for use in a Magnetic Resonance Imaging (MRI) system. The gradient coil assembly (62) comprises primary coils (68), shield coils (72) and a supporting structure (10) being arranged between the primary coils (68) and the shield coils (72), wherein the supporting structure (10) comprises at least a supporting element (12) comprising a first end face (14) and at least a first recess (24) with an opening (26) in the first end face (14), wherein the first recess (24) extends in a longitudinal direction (18) of the supporting element (12) forming a tray for receiving a passive shim bar.

Abstract: The invention relates to inhibitors of mutant isocitrate dehydrogenase (mt-IDH) proteins with neomorphic activity useful in the treatment of cell-proliferation disorders and cancers, having the Formula: where A, B, U, V, Z, W1, W2, W3, and R1-R6 are described herein.

Abstract: An X-ray detecting panel and a method of operating the same, and an x-ray detecting device are provided. The X-ray detecting panel includes an array substrate which includes a plurality of gate lines and a plurality of signal lines intersecting with each other to divide the array substrate into a plurality of photosensitive cells, each of which comprises a thin film transistor, and the plurality of photosensitive cells comprises one or more first photosensitive cells and one or more second photosensitive cells, the thin film transistor of the first photosensitive cell is disposed at a first side of the first photosensitive cell, the thin film transistor of the second photosensitive cell is disposed at a second side of the second photosensitive cell, and the first side is opposite to the second side.

Abstract: The invention relates to cooling a gradient coil (3) of a magnetic resonance imaging system (11). It is an object of the invention to provide an improved assembly of a magnetic resonance imaging apparatus with a gradient coil (3) which allows a cooling of the gradient coil (3) in such a way that a better homogeneity of the temperature distribution an reduced hot spots effects can be achieved.

Abstract: A detection substrate, a ray imaging device, and a method for driving a detection substrate are provided. The detection substrate includes a base substrate; a plurality of sensing TFTs; a plurality of signal read lines; a compensation TFT row including a plurality of compensation TFTs, wherein a first electrode of each of the compensation TFTs is electrically connected to the same signal read line as first electrodes of the sensing TFTs in corresponding sensing TFT column. As for the sensing TFTs and the compensation TFT electrically connected to the same signal read line, the first electrodes of both the sensing TFTs and the compensation TFT are source electrodes or drain electrodes, source-drain directions of the sensing TFTs are consistent with one another, and a source-drain direction of the compensation TFT is opposite to each of the source-drain directions of the sensing TFTs.

Abstract: The invention relates to inhibitors of mutant isocitrate dehydrogenase (mt-IDH) proteins with neomorphic activity useful in the treatment of cell-proliferation disorders and cancers, having the Formula: where A, U, W1, W2, W3, R1-R6, and R9 are described herein.

Abstract: The invention relates to inhibitors of mutant isocitrate dehydrogenase (mt-IDH) proteins with neomorphic activity useful in the treatment of cell-proliferation disorders and cancers, having the Formula: where A, B, W1, W2, W3, and R1-R6 are described herein.

Abstract: A tiered machine learning-based infrastructure comprises a first machine learning (ML) tier configured to execute within an enterprise network environment and that learns statistics for a set of use cases locally, and to alert deviations from the learned distributions. Use cases typically are independent from one another. A second machine learning tier executes external to the enterprise network environment and provides further learning support, e.g., by determining a correlation among multiple independent use cases that are running locally in the first tier. Preferably, the second tier executes in a cloud compute environment for scalability and performance.

Abstract: The invention relates to inhibitors of mutant isocitrate dehydrogenase (mt-IDH) proteins with neomorphic activity useful in the treatment of cell-proliferation disorders and cancers, having the Formula: where Y1, X1, X2, Y2, W1, W2, W3, and R1-R5 are described herein.

Abstract: The present disclosure provides a light transmission processing system and method for a solar chip module. The light transmission processing system includes: an ink printing unit configured to print a preset pattern on an upper surface of the chip module with a UV ink so that a hollowed out region is formed on an area of the upper surface of the chip module not covered by the pattern, the chip module including a transparent substrate and a chip layer superposed on an upper surface of the transparent substrate; a curing unit configured to cure the UV ink printed on the chip module with UV light to form a UV ink protective film; and a layer removing unit configured to remove a portion of the chip layer corresponding to the hollowed out region to expose a portion of the transparent substrate corresponding to the hollowed out region.

Abstract: The present invention relates to compounds and compositions for the inhibition of NAMPT, their synthesis, applications and antidotes.

Abstract: In some embodiments, the present disclosure pertains to methods of producing a graphene material by exposing a polymer to a laser source. In some embodiments, the exposing results in formation of a graphene from the polymer. In some embodiments, the methods of the present disclosure also include a step of separating the formed graphene from the polymer to form an isolated graphene. In some embodiments, the methods of the present disclosure also include a step of incorporating the graphene material or the isolated graphene into an electronic device, such as an energy storage device. In some embodiments, the graphene is utilized as at least one of an electrode, current collector or additive in the electronic device. Additional embodiments of the present disclosure pertain to the graphene materials, isolated graphenes, and electronic devices that are formed by the methods of the present disclosure.

Abstract: A multi-band antenna array includes a plurality of first antennas for resonating at a first band, and a plurality of second antennas for resonating at a second band. A frequency of the second band is higher than a frequency of the first band. Locations of the plurality of first antennas project to a plurality of grid-one positions on a surface; locations of the plurality of second antennas project to a plurality of grid-two positions on the surface. Among the grid-one positions, a second grid-one position is nearest to a first grid-one position by a first distance along a first direction. Among the grid-two positions, a first grid-two position and a second grid-two position are closest two to the first grid-one position. The first and second grid-two positions are separated by a second distance along a second direction; and, the first direction and the second direction are nonparallel.

Abstract: A gradient coil unit having a peripheral surface enclosing a magnetic gradient axis, and a middle plane substantially perpendicular to the magnetic gradient axis at a middle portion of the gradient coil unit, comprising at least one folded coil which comprises a first set of curved conductors disposed on a first curved surface; a second set of curved conductors disposed on a second curved surface outside the first curved surface and substantially overlapping the first set of curved conductors; and a set of connecting conductors connecting selected curved conductors in the first set with selected curved conductors in the second set; wherein the set of connecting conductors is located at a first side of the middle plane.

Abstract: A machine learning-based technique for user behavior analysis that detects when users deviate from expected behavior. In this approach, a set of user groups are provided, preferably based on information provided from a user registry. A set of training data for each of the set of user groups is then obtained, preferably by collecting security events generated for a collection of the users over a given time period (e.g., a last thirty (30) days). A machine learning system is then trained using the set of training data to produce a model that includes a set of clusters in user behavior model, wherein a cluster is a learned user group that corresponds to a defined user group. Once the model is built, it is used to identify users that deviate from their expected group behavior. In particular, the system compares a current behavior of a user against the model and flags anomalous behavior. The user behavior analysis may be implemented in a security platform, such as a SIEM.

Abstract: A machine learning (ML)-based technique for user behavior analysis that detects when users deviate from expected behavior. A ML model is trained using training data derived from activity data from a first set of users. The model is refined in a computationally-efficient manner by identifying a second set of users that constitute a “watch list.” At a given time, a differential data ingestion operation is then performed to incorporate data for the second set of users into the training data, while also pruning at least a portion of the data set corresponding to data associated with any user included in the first set but not in the second set. These operations update the training data used for the machine learning. The machine learning model is then refined based on the updated training data that incorporates the activity data ingested from the users identified in the watch list.