Abstract: The present application discloses a low voltage triggering silicon controlled rectifier which includes: an N well and a P well forming a PN junction, a first P+ region formed in the N well and connected to an anode, and a first N+ region formed in the P well and connected to a cathode. A second P+ region is formed in the N well at the PN junction and diffuses into the P well. A second N+ region is formed in the P well at the PN junction and diffuses into the N well. A first gate structure connected to the anode is formed at the surface of the N well between the first and second P+ regions; and a second gate structure connected to the cathode is formed at the surface of the P well between the first and second N+ regions.

Abstract: Methods and systems are provided for improving user authentication and access control by a network file system service in a multi-tenant public cloud environment by receiving a request for a connection to a file system from a file system client (client), sending an identification request for identification authentication of the client to a control system, receiving a response from the control system, establishing the connection to the file system upon determining that the connection to the file system is allowed based on cloud tenant information associated with the client, receiving an attempt to access the file system from the client by a sub-user, authenticating the sub-user based on the cloud tenant information, issuing a security token including a globally unique sub-user identifier of the sub-user, and using the security token to determine access rights of the sub-user to the file system for a subsequent request.

Abstract: The present disclosure relates to the technical field of fiber-optic gas sensing and laser photoacoustic spectroscopy, and reliability of a gas detection system is improved by actively selecting a working frequency of low noise interference combined with an optical fiber photoacoustic sensing probe capable of isolating high-frequency noise. A gas enters a photoacoustic microcavity through gaps on a sound-sensitive diaphragm after diffusing into a miniature air chamber through a plurality of micropores. Photoacoustic excitation light is incident into the photoacoustic microcavity through a fiber-optic collimator and then excited to generate a photoacoustic pressure wave to cause the sound-sensitive diaphragm to vibrate periodically. An end face of a single-mode optical fiber and the sound-sensitive diaphragm constitutes a fiber-optic Fabry-Perot interferometer. The interferometer measures a deflection of the diaphragm and inverts a concentration of the to-be-measured gas.

Abstract: The invention provides a reaction system for preparing butyraldehyde by propylene carbonylation, comprising: a reactor; a side wall of the reactor is sequentially provided with a catalyst inlet, a propylene inlet and a synthesis gas inlet from top to bottom; the bottom of the reactor is provided with a solvent inlet; two micro-interface generators are arranged inside of the reactor from top to bottom, and the micro-interface generator located at a top end is connected to the propylene inlet to break the propylene gas into micron-scale micro-bubbles; the micro-interface generator located at a bottom is connected to the synthesis gas inlet for breaking the synthesis gas into micron-scale micro-bubbles; the outlets of the two micro-interface generators are opposite, and the outlets are connected with a gas distributor for evenly distributing raw materials.

Abstract: Techniques for accurately predicting and avoiding collisions with objects detected in an environment of a vehicle are discussed herein. A vehicle safety system can implement a model to output data indicating an intersection probability between the object and a portion of the vehicle in the future. The model may employ a rear collision filter, a distance filter, and a time to stop filter to determine whether a predicted collision may be a false positive, in which case the techniques may include refraining from reporting such predicted collision to other another vehicle computing device to control the vehicle.

Abstract: The present disclosure relates to air assemblies having an inflation, a deflation, and a closed state for use with inflatable products, such as air mattresses. Specifically, the present disclosure relates to air assemblies where the configuration of the air assembly can be changed manually by a user by operating a directional control valve to inflate, deflate, or close the inflatable product. The directional control valve may also activate a pump in the inflation and deflation states and deactivate the pump in the closed state.

Abstract: The present invention relates to a MEMS device and related methods comprising a mirror for the measuring of light frequency. The MEMS mirror may rotate around a pivot point and is driven by a periodic force for continuous bi-directional motion without transient vibrations. The periodic force may further comprise transient functions comprising special waveforms when at the turn-around point of the bi-directional rotation.

Abstract: As described below, the present invention features compositions and methods for neuroprotection and/or neuroregeneration of damaged or degenerating neurons. In various embodiments, the compositions and methods of the present disclosure are used to treat a neurodegenerative disease and/or nervous system injury. The methods in various embodiments include reducing or eliminating activity or expression of a target gene(s) and/or a polypeptide(s) expressed by a target gene(s) in a neuron.

Abstract: Disclosed herein are methods and compositions for generation of cell lines to promote unnatural amino acid-containing protein production using genome engineering technology.

Abstract: A method for extracting a characteristic signal from a power frequency signal includes steps of: S1, detecting a voltage half-wave zero-crossing area in a single voltage cycle in the power frequency signal by a signal; superimposing a voltage modulation signal on the voltage half-wave zero-crossing area, and superimposing an instantaneous pulse on a current cycle in the power frequency signal corresponding to the voltage half-wave zero-crossing area; generating the characteristic signal with current cycles and voltage cycles; S2, demodulating whether there is the voltage modulation signal in the power frequency signal, if so, executing step S3; and S3, demodulating the characteristic signal to obtain the current modulation signal and the voltage modulation signal respectively; and determining whether data corresponding to the current modulation signal and date corresponding to the voltage modulation signal are predetermined data, wherein if so, the characteristic signal exists.

Abstract: Described herein are novel anti-CD3 antibodies conjugated to folate and uses thereof treatment of diseases or conditions that would benefit from such conjugate are provided.

Abstract: The present application provides methods for editing RNA by introducing a deaminase-recruiting RNA in a host cell for deamination of an adenosine in a target RNA. The present application further provides deaminase-recruiting RNAs used in the RNA editing methods and compositions and kits comprising the same.

Abstract: System, methods, and computer-readable media for configuring an autonomous vehicle based on safety scores determined by a safety score prediction algorithm, and an associated training technique, to output a safety score for a predicted and/or actual path. The safety score is a value indicating a likelihood of risky events per distance. The safety score prediction algorithm is trained with historical human driving datasets associated with paths (predicted or actual) taken by one or more AVs during human driving.

Abstract: The present technology is directed to training and using a machine learning model to predict a likelihood of a counterfactual safety critical event in autonomous vehicle (AV) driving in a projected scenario occurring after a human takes over control of an AV. An AV management system can identify driving data collected from periods around an occurrence of a human take over event where a human takes over control of an AV. The AV management system can project a scenario that would have resulted if the human did not take over control of the AV based on the driving data and output a counterfactual safety score for the projected scenario. The counterfactual safety score can indicate a probability of a counterfactual collision between the AV and the at least one object in the projected scenario.

Abstract: The present technology is directed to training and the use of a machine learning model to measure the safety of an autonomous vehicle (AV) driving in simulation. An AV management system can run a simulation of an AV autonomously piloting itself and collect simulation driving data. Further, the AV management system can parse the simulation driving data into kinematic and semantic environmental features and output a simulation safety score of the simulation based on the kinematic and semantic environmental features. The simulation safety score indicates a probability of a safety critical event such as a collision or a near-miss between the AV and the at least one simulated object in the simulation.

Abstract: The present technology is directed to training and the use of a machine learning model to measure the safety of an autonomous vehicle (AV) driving. An AV management system can identify driving data including sensor data from an AV that is descriptive of an environment around the AV, a path of the AV, kinematic data of the AV, a path of at least one object in the environment, and in-memory data pertaining to data output by one or more algorithms in an autonomous driving stack. As follows, the AV management system can output a safety score for the path of the AV indicating a probability of a collision between the AV and the at least one object.

Abstract: The disclosed technology provides solutions for evaluating risk (e.g., collision risk) associated with different vehicle trajectories through an environment. A process of the disclosed technology can include steps for receiving a perception output, wherein the perception output identifies at least one dynamic entity in an environment, determining a projected trajectory for an autonomous vehicle (AV) based on the perception output, and calculating a risk metric for the AV based on the perception output and the projected trajectory for the AV, wherein the risk metric comprises an unrealized risk score that is based on a probability of future collision between the AV and the dynamic entity. Systems and machine-readable media are also provided.

Abstract: Determining control operations for an autonomous vehicle may include receiving, by an operational model, an operational model input based on camera data from one or more cameras of an automated vehicle; determining, by the operational model, based on the input, a current environmental state and a predicted environmental state; providing, to a rules module, a differential between the current environmental state and a previously predicted environmental state; and determining, based on the rules module, one or more control operations for the automated vehicle.

Abstract: There is provided a method of treating obesity and/or hypertension in a subject in need thereof by administering a therapeutically effective amount of a low molecular weight levan or a pharmaceutical composition comprising the low molecular weight levan and a pharmaceutically acceptable excipient.