Abstract: In some implementations, a prediction system may receive a gene regulatory network associated with genes. The prediction system may determine interactions between the genes associated with the gene regulatory network. The prediction system may generate a hyperbolic embedded space based on the gene regulatory network and the interactions between the genes. The prediction system may determine a hyperbolic distance measure based on the hyperbolic embedded space. The prediction system may process the hyperbolic embedded space and the hyperbolic distance measure, with a neural network model, to generate predictions of interactions between the genes. The prediction system may perform one or more actions based on the predictions of interactions between the genes.

Abstract: A defect prediction method for a device manufacturing process involving processing one or more patterns onto a substrate, the method including; determining values of one or more processing parameters under which the one or more patterns are processed; and determining or predicting, using the values of the one or more processing parameters, an existence, a probability of existence, a characteristic, and/or a combination selected from the foregoing, of a defect resulting from production of the one or more patterns with the device manufacturing process.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for distributed vehicle processing. For instance, the method may include: in response to determining a first trigger condition of a first set of trigger conditions is satisfied, performing a first process corresponding to the first trigger condition on-board a vehicle; in response to determining a second trigger condition of a second set of trigger conditions is satisfied, prompting a second process corresponding to the second trigger condition by transmitting an edge request to an edge node and receiving an edge response from the edge node; and in response to determining a third trigger condition of a third set of trigger conditions is satisfied, prompting a third process corresponding to the third trigger condition by transmitting a cloud request to a cloud node and receiving a cloud response from the cloud node.

Abstract: A pupil expansion apparatus includes: a beam splitter, configured to receive light from an optic and to replicate a pupil formed by the optic; and a waveguide, optically coupled to the beam splitter, the waveguide configured to receive light from the beam splitter and further expand the pupil.

Abstract: The present disclosure is related to a cyber-security system that includes a Supervisory Control and Data Acquisition (SCADA) network monitor configured to receive a data set from a power system network, an event manager, and a mitigation system, where the SCADA network monitor includes an anomaly detector.

Abstract: Synthetic CT is estimated for planning or other purposes from surface data (e.g., depth camera information). The estimation uses parameterization, such as landmark and/or segmentation information, in addition to the surface data. In training and/or application, the parameterization may be used to correct the predicted CT volume. The CT volume may be predicted as a sub-part of the patient, such as estimating the CT volume for scanning one system, organ, or type of tissue separately from other system, organ, or type of tissue.

Abstract: In aspects of a wearable article for determining a task, a system includes a delivery device usable to administer a liquid responsive to an applied force, and includes a wearable article with multiple sensors to detect movements of the wearable article and handling of the delivery device. A task determination module is implemented to receive sensor data identifying the movements of the wearable article and the applied force, and can determine a task from a set of tasks associated with the delivery device that corresponds to the movements of the wearable article. The task determination module can then determine whether the task was performed correctly based on a comparison of the sensor data to a correct pattern of use for the task.

Abstract: Methods, systems, and computer program products for automatically positioning a content capturing device are disclosed. A vehicle, e.g., an UAV, carries the content capturing device, e.g., a camcorder. The UAV can position the content capturing device at a best location for viewing a subject based on one or more audio or visual cues. The UAV can follow movement of the subject to achieve best audio or visual effect. In some implementations, a controller device carried by the subject can generate one or more signals for the UAV to follow. The controller device may be coupled to a microphone that records audio. The signals can be used to temporally synchronize video captured at the UAV and audio captured by the microphone.

Abstract: A general-purpose graphics processor comprising a first set of compute units, a second set of compute units, and a memory coupled with the first set of compute units and the second set of compute units is described. The memory is configured to merge a first read request to an address block of the memory with a second read request to the address block of the memory to reduce a number of memory accesses to a memory bank associated with the address block. The graphics processor can also include a memory arbiter that can multicast merged reads to the compute units associated with the merged reads.

Abstract: There is provided an electronic device for managing functionality of applications. The device including a processor which detects an input with respect to a graphical element displayed on a display of the electronic device, the graphical element representing a first application, generates at least one sub-graphical element from the graphical element, the at least one sub-graphical element representing a functional data item associated with the first application and controls the display to display the at least one sub-graphical element.

Abstract: Oligonucleotides comprising modifications at the 2 and/or 3? positions(s) along with methods of making and use against Alzheimer disease and other tauopathies are disclosed.

Abstract: Computer-implemented methods for training a neural network, as well as for implementing audio encoders and decoders via trained neural networks, are provided. The neural network may receive an input audio signal, generate an encoded audio signal and decode the encoded audio signal. A loss function generating module may receive the decoded audio signal and a ground truth audio signal, and may generate a loss function value corresponding to the decoded audio signal. Generating the loss function value may involve applying a psychoacoustic model. The neural network may be trained based on the loss function value. The training may involve updating at least one weight of the neural network.

Abstract: A method for applying a beauty effect setting in an electronic device is provided. The method includes detecting, by the electronic device, user face from a current previewed frame in a viewfinder of a camera. Further, the method includes extracting, by the electronic device, a plurality of feature points from the detected user face. Further, the method includes determining, by the electronic device, at least one beauty ratio based on the plurality of extracted feature points. Further, the method includes superimposing, by the electronic device, the at least one beauty ratio with a predefined beauty ratio. Further, the method includes mapping, by the electronic device, the at least one superimposed beauty ratio to at least one camera beauty effect. Further, the method includes applying, by the electronic device, the beauty effect setting on the user face based on the at least one mapped camera beauty effect.

Abstract: A computing device includes a control system that communicates with multiple sensors that capture data regarding a user. The control system communicates with each of the sensors to obtain information regarding the capabilities of each sensor, and uses this capability information to determine how to configure each of the sensors. The control system also selects one of the multiple sensors to be the master sensor, and the rest of the multiple sensors are slave sensors, and notifies the multiple sensors of whether they are a slave sensor or a master sensor. The master sensor collects sensor data for the multiple sensors, capturing data itself as well as receiving data captured by the slave sensors from the slave sensors. The master sensor sends an indication of the collected data (e.g., the collected data itself or data resulting from processing the collected data) to the control system for analysis and/or processing.

Abstract: An apparatus, method and computer program product for query optimization in a Relational Database Management System (RDBMS), wherein an optimizer accesses a query expression repository (QER), so that the optimizer learns from previous versions of the queries to improve current and subsequent versions of the queries. The QER stores planning and execution information for QEs from the previous versions of the queries, wherein the QEs comprise table relations, intermediate results and/or final results of operations in the previous versions of the queries. The optimizer searches the QER for QEs from the query execution plans, and uses information from the QEs stored in the QER when optimizing the current and subsequent versions of the queries. The optimizer may also reuses results from the QEs stored in the QER.

Abstract: A computing device includes a control system that communicates with multiple sensors that capture data regarding a user. The control system communicates with each of the sensors to obtain information regarding the capabilities of each sensor, and uses this capability information to determine how to configure each of the sensors. The control system also selects one of the multiple sensors to be the master sensor, and the rest of the multiple sensors are slave sensors, and notifies the multiple sensors of whether they are a slave sensor or a master sensor. The master sensor collects sensor data for the multiple sensors, capturing data itself as well as receiving data captured by the slave sensors from the slave sensors. The master sensor sends an indication of the collected data (e.g., the collected data itself or data resulting from processing the collected data) to the control system for analysis and/or processing.

Abstract: Techniques are included for intelligently testing a software product using a limited number of test cases that are configured to test portions of the software product that have changed since a prior testing. To determine which test cases are best used for testing the implemented changes, a test case-to-programmatic flow mapping may be generated that relates each test case available for testing the software product with each programmatic flow that is tested by the test case. In addition, a programmatic flow-to-artifact mapping may be created that relates each programmatic flow discovered in the software product to each artifact that is accessed, created, changed, or dependent on the programmatic flow. Using these mappings, specific test cases may be determined for testing only those portions of the software product that have changed since the prior testing.

Abstract: Modified oligonucleotides comprising modifications at the 2? and/or 3? position(s) along with methods of making and use, e.g., against HBV are disclosed.

Abstract: A method of topography determination, the method including: obtaining a first focus value derived from a computational lithography model modeling patterning of an unpatterned substrate or derived from measurements of a patterned layer on an unpatterned substrate; obtaining a second focus value derived from measurement of a substrate having a topography; and determining a value of the topography from the first and second focus values.

Abstract: The present invention relates to method for the synthesis in-situ of the class of compounds known generally as MOFs (metal organic frameworks or organometallic compounds), COFs (covalent organic frameworks), and ZIFs (Zeolitic imidazolate framework), within and onto different types of substrates, and to the applications of such substrates having in-situ synthesized MOFs, COFs and ZIFs.