Abstract: Described herein are compounds, and methods for the treatment of coronavirus infection.

Abstract: A foetal monitoring device for simultaneously monitoring a concentration of an analyte in a foetus and a heart rate of the foetus, the device comprising a biosensor and an electrocardiogram (ECG).

Abstract: A method for predicting the performance of a software program. The method includes: profiling the software program in a bytecode representation thereof, wherein the profiling is performed during the execution of the software program, in order to provide an execution property of the software program; profiling a runtime on a target device, wherein the profiling is performed while executing at least one test program on the runtime of the target device, in order to provide a runtime property of the target device; predicting the performance of an execution of the software program on the target device based on the execution property of the software program and the runtime property of the target device. A computer program, an apparatus, and a storage medium are also described.

Abstract: Synthetic endornaviral satellite RNA molecules and satellite particles containing the same are disclosed. The synthetic endornaviral satellite RNA molecules can include coding and/or non-coding cargo sequences, and are heritable through generations of plants. Also disclosed are methods of using the endornaviral satellite RNA molecules and satellite particles containing the same to change plant phenotypes, improve plant stress resistance, and improve plant pest and pathogen resistance.

Abstract: A reconfigurable data processor includes a bus system, an array of configurable units, and a configuration load controller connected to the bus system and coupled to a memory. The configuration load controller incorporates a first set of registers accessible from a host processor for storing addresses of a first configuration file, a second set of registers loaded by loading a configuration file for storing addresses of a second configuration file, and an address generation unit with working address registers. The processor is configured to load a first configuration file from the memory and initiate execution based on a request from runtime software. Additional configuration files are automatically loaded upon completion of a previous configuration file based on information stored in the previous configuration file.

Abstract: Techniques are disclosed pertaining to determining whether execution of a transaction will exceed a system resource threshold. A computer system stores a precomputed permissions data structure in association with particular data stored in a database. That precomputed data structure may be used to determine whether a user can access the particular data. The computer system may capture metric information that pertains to parameters involved in different types of transactions that can be performed to recompute the precomputed permissions data structure. Upon receiving a request to perform a transaction that involves recomputing the permissions data structure, the computer system, may determine, based on the metric information and the transaction's particular type, whether an execution of the transaction will exceed the system resource threshold.

Abstract: Embodiments are directed to intent driven dashboard recommendations. A plurality of collection specifications that declare visualization declarations may be provided such that each collection specification is associated with an author intent. And attributes-of-interest selected from a data source may be provided. A plurality of collections may be generated based on the plurality of collection specifications, the attributes-of-interest, or data from the data source such that each collection may include visualizations that may be based on the visualization declarations. A preference score may be generated for each collection based on the author intent, visualizations in each collection, or the attributes-of-interest. The plurality of collections may be classified based on the preference scores associated with the classified collections such that the classified collections may be displayed based on the preference scores.

Abstract: Techniques for ontology linking of unstructured text as a service are described. A service may receive a request to link unstructured text to a standardized ontology, and the service may segment and tokenize the unstructured text and send the result to multiple services implementing multiple deep machine learning models trained to identify particular entities and one or more relationships between entities. The service may perform a search of the standardized ontology to identify a set of similar candidates from the standardized ontology for the detected entities and the one or more relationships, and then rank the set of similar candidates from the standardized ontology according to their similarity to the detected entities within the unstructured text. The output from the service may include a result identifying a highest ranked candidate of the set of similar candidates from the standardized ontology for the detected entities within the unstructured text.

Abstract: A system is presented that includes two data processing systems that are coupled via a network, each data processing system including a reconfigurable processor with a reconfigurable processor memory, a host that is coupled to the reconfigurable processor and that includes a host processor and a host memory that is coupled to the host processor, and a network interface controller (NIC) that is operatively coupled to the reconfigurable processor and to the host processor. The reconfigurable processor of one of the data processing systems is configured to implement a virtual function that uses a virtual address for a memory access operation. An application programming interface (API) in the host processor translates the virtual address into a physical address, and the NIC uses the physical address to initiate a direct memory access operation at the reconfigurable processor memory or the host memory of the other data processing system.

Abstract: Aspects of systems and methods for collaborating physical-virtual interfaces are disclosed. In an example, a method may include transmitting digital content to display in a virtual environment that includes one or more human inhabited characters, the digital content corresponding to content displayed on one or more interactive devices. The method may also include receiving first input data representing content markup of the digital content from a first user of the first interactive device. The method may also include determining an action state or an appearance state for a human inhabited character in response to the first data. The method may also include transmitting the first input data to display in the virtual environment and transmitting the human inhabited character to display in the virtual environment according to the action state or the appearance state.

Abstract: An electronics backplane assembly includes respective first and second floating backplane connector assemblies each having a backplane connector coupled to a corresponding backplane plate movably coupled with a chassis wall, and a pair of stepped stoppers coupled to the chassis wall and positioned on each side of each backplane plate. Each stepped stopper pair includes a step at a different distance from the chassis wall and positioned to provide a reactive force to the corresponding backplane plate for incrementally engaging respective backplane connectors of an electronics module with a corresponding floating backplane connector. Each floating backplane connector assembly may include a pair of guide stoppers having a stopper structure at respective positions, coupled to the chassis wall and protruding through holes in each backplane plate, where each backplane plate is positioned for connector engagement between the step structure of each stepped stopper and the stopper structure of each guide stopper.

Abstract: A divan for installation in an aircraft cabin in relation to an emergency exit. In embodiments, the divan includes at least two seats wherein one seat is positioned directly in front of the emergency exit and includes a lower frame assembly and an upper frame assembly. The upper frame assembly includes a seat pan subassembly configured to raise and lower relative to the lower frame assembly, and a backrest subassembly rotatably attached to the seat pan subassembly. In use, the backrest rotates to a position overlaying the seat pan subassembly and the seat pan subassembly lowers toward the floor to achieve a step-up height of not more than 20 inches to comply with the step-up height requirements for a Type-III emergency exit.

Abstract: Provided herein are methods, systems and digital microfluidic cartridges for the determination of ligand-target analyte affinity value (KD), determination of an association rate constant (kon), and/or determination of a dissociation rate constant (koff) in a PR (plasmon resonance) based system. More specifically, as described herein, the present disclosure is directed to improved methods, systems and digital microfluidic cartridges for determining a dissociation rate constant (koff) using free ligand molecules in the dissociation phase or dissociation step of a standard kinetic binding curve or in ligand-target analyte affinity analysis (referred to herein as ligand assisted dissociation (LAD)).

Abstract: A method for 2D semantic keypoint detection and tracking is described. The method includes learning embedded descriptors of salient object keypoints detected in previous images according to a descriptor embedding space model. The method also includes predicting, using a shared image encoder backbone, salient object keypoints within a current image of a video stream. The method further includes inferring an object represented by the predicted, salient object keypoints within the current image of the video stream. The method also includes tracking the inferred object by matching embedded descriptors of the predicted, salient object keypoints representing the inferred object within the previous images of the video stream based on the descriptor embedding space model.

Abstract: An information-security automated system for authorizing a user request for access to a module and for identifying anomalous user authorization requests may include components for receiving the user request for access to the module from the authorization request tool over a computer network, a computer machine comprising a processor, and computer-executable instructions stored on a computer-readable medium configured to cause the processor to perform steps of receiving a user request for access to a module, generating a peer group proximity dataset, generating a user dataset, calculating a critical score, determining if the critical score is less than an enterprise threshold, and generating an approval or denial of the user request based upon the critical score. In some examples the process may include the step of executing machine learning instructions to generate a second approval or a second denial of a second user request for access to a second module.

Abstract: The present disclosure relates to determining a first illumination level corresponding to an area based at least on a first illumination detection obtained using a first illumination detector corresponding to a machine. A second illumination level corresponding to the area may be determined based at least on a second illumination detection obtained using a second illumination detector corresponding to the machine. Based at least on the first illumination level and the second illumination level, a scene illumination state of the area may be determined. Based at least on the scene illumination state, one or more lights of the machine may be controlled.

Abstract: An aircraft seat includes a primary seating section including a primary seat pan and seatback. The aircraft seat further includes one or more deployable armrest assemblies, where each armrest assembly is configured to actuate between a stowed and deployed position. Each armrest assembly includes an actuator sub-system including a locking assembly and an actuator. Each armrest assembly further includes an armrest attaching panel. When the armrest assemblies are positioned in the deployed position, the armrest assemblies form an auxiliary seating section, where the armrest attaching panel is configured as an auxiliary seat pan. When the locking assembly is in the unlocked state, the actuator actuates the armrest assemblies to the deployed position. The auxiliary and primary seat pan form a wide seating surface when in the deployed position. A top surface of the auxiliary seat pan is substantially flush with a top surface of the primary seat pan cushion.

Abstract: A method for dynamic aberration correction includes generating a primary electron beam with an electron beam source. The method includes directing the primary electron beams to a sample with an electron-optical column and deflecting the primary electron beam to an objective lens of the electron-optical column using a first Wien filter to correct for coma blur in the primary electron beam. The method includes generating off-axis chromatic aberration in the primary electron beam using the objective lens. The method includes adjusting one of a strength or orientation of the Wien filter to correct the off-axis chromatic aberration in the primary electron beam generated by the objective lens. The method includes detecting one or more secondary electrons emanating from the sample.

Abstract: Para-acyl substituted diazacyclohexenes, medical formulations thereof and methods for making and using the same.

Abstract: An apparatus of an edge computing node, a method, and a machine-readable storage medium. The apparatus is to decode messages from a plurality of clients within the edge computing network, the messages including respective coded data for respective ones of the plurality of clients; computing estimates of metrics related to a global model for federated learning using the coded data, the metrics including a gradient on the coded data; use the metrics to update the global model to generate an updated global model, wherein the edge computing node is to update the global model by calculating the gradient on the coded data based on a linear fit of the global model to estimated labels from the federated learning; and send a message including the updated global model for transmission to at least some of the clients.