Abstract: An electrospray emitter assembly for interfacing a separation column to a mass spectrometer is disclosed. An emitter capillary includes an inlet end and an outlet end. A fitting is coupled to the inlet end of the emitter, configured to be removably connected to the separation column. A stop with a defined through hole is integrated proximate the inlet end of the emitter to produce a path for liquid to flow from the separation column to the emitter via the through hole where a voltage is applied to the liquid entering the emitter.

Abstract: A method and an apparatus for displaying a teaching video task, a device, a storage medium and a product are provided in embodiments of the present disclosure. The method includes: displaying a triggering control corresponding to a teaching video page on a display interface; and in response to a triggering operation by a user on the triggering control, jumping to the teaching video page, where the teaching video page includes at least one teaching video and at least one target task corresponding to the teaching video. In this way, a user can view and trigger a target task associated with the teaching video more intuitively. Before watching a teaching video, the user can learn of at least one target task corresponding to the teaching video, thereby guiding the user to learn the teaching video better.

Abstract: A method of separating analytes in a liquid sample includes flowing the liquid sample through a chromatography column configured for use in liquid chromatography. The chromatography column contains a composition that includes a solid support having an exterior surface, a ligand, and a linker. The ligand includes a polyhedral oligomeric silsesquioxane moiety. The linker is covalently bound to both the polyhedral oligomeric silsesquioxane moiety and the exterior surface of the solid support.

Abstract: Knowledge graphs can greatly improve the quality of content recommendation systems. There is a broad variety of knowledge graphs in the domain including clicked user-ad graphs, clicked query-ad graphs, keyword-display URL graphs etc. A hierarchical Transformer model learns entity embeddings in knowledge graphs. The model consists of two different Transformer blocks where the bottom block generates relation-dependent embeddings for the source entity and its neighbors, and the top block aggregates the outputs from the bottom block to produce the target entity embedding. To balance the information from contextual entities and the source entity itself, a masked entity model (MEM) task is combined with a link prediction task in model training.

Abstract: Systems of an autonomous vehicle and the operations thereof are provided. Autonomous vehicles may rely on data inputs, processes, and output commands. Errors due to translation errors, failed or faulty equipment, connections, and other components may cause a dynamic vehicle path to approach a dynamic safe zone or vice versa. If so, a warning message may be sent and processed by the motion control system, when the vehicle is responding to commands correctly, or actuator control, when the vehicle is not responding to commands correctly. Should a safe zone be redrawn to exclude the vehicle's path, a failure message is sent to the appropriate system for mitigation.

Abstract: Systems and methods of determining a risk distribution associated with a multiplicity of coverage zones covered by a multiplicity of sensors of an autonomous driving vehicle (ADV) are disclosed. The method includes for each coverage zone covered by at least one sensor of the ADV, obtaining MTBF data of the sensor(s) covering the coverage zone. The method further includes determining a mean time between failure (MTBF) of the coverage zone based on the MTBF data of the sensor(s). The method further includes computing a performance risk associated with the coverage zone based on the determined MTBF of the coverage zone. The method further includes determining a risk distribution based on the computed performance risks associated with the multiplicity of coverage zones.

Abstract: Systems and methods are provided for facilitating the building and use of natural language understanding models. The systems and methods identify a plurality of tokens and use them to generate one or more pre-trained natural language models using a transformer. The transformer disentangles the content embedding and positional embedding in the computation of its attention matrix. Systems and methods are also provided to facilitate self-training of the pre-trained natural language model by utilizing multi-step decoding to better reconstruct masked tokens and improve pre-training convergence.

Abstract: Provided is an acoustic device having front and rear surfaces, and the front surface has sound outlet. The acoustic device includes: a metal enclosure housing; an acoustic component mounted in the housing, the acoustic component and the enclosure housing cooperate to form front and rear sound cavities, and the front sound cavity is communicated with the sound outlet; and an isolation component mounted in the rear sound cavity, and the isolation component and the enclosure housing enclose to define a filling cavity filled with sound-absorbing material. The isolation component closely fits outer surface of the acoustic component, the isolation component is provided with hollow portion to enable the outer surface of the acoustic component to be exposed to the filling cavity, and the hollow portion is filled with the sound-absorbing material. With the arrangement of the hollow portion, the acoustic device is filled with more sound-absorbing material, improving acoustic performance.

Abstract: Provided is an acoustic device, having front and rear surfaces. The acoustic device includes: an enclosure housing being a metal housing; an acoustic component mounted in the enclosure housing, the acoustic component and the enclosure housing cooperate to form front and rear sound cavities, and the front sound cavity is communicated with the sound outlet; an isolation component mounted in the rear sound cavity, the isolation component and the enclosure housing enclose to form a filling cavity configured to be filled with a sound-absorbing material; and at least one buffer attached to an inner surface of the enclosure housing defining the filling cavity, the buffer is configured to reduce noise generated from collision of the sound-absorbing material with the enclosure housing. The acoustic device can reduce collision of the sound-absorbing material with the metallic enclosure housing, thereby reducing noise generated, so as to improve acoustic performance.

Abstract: Knowledge graphs can greatly improve the quality of content recommendation systems. There is a broad variety of knowledge graphs in the domain including clicked user-ad graphs, clicked query-ad graphs, keyword-display URL graphs etc. A hierarchical Transformer model learns entity embeddings in knowledge graphs. The model consists of two different Transformer blocks where the bottom block generates relation-dependent embeddings for the source entity and its neighbors, and the top block aggregates the outputs from the bottom block to produce the target entity embedding. To balance the information from contextual entities and the source entity itself, a masked entity model (MEM) task is combined with a link prediction task in model training.

Abstract: An apparatus is described. The apparatus includes a network interface having a system interface, a media access interface and circuitry to construct a block of null values for a logical block address (LBA) in response to a remote storage system having informed the network interface that the LBA was un-mappable.

Abstract: A wrist-worn device is provided, which includes a device main body and an earphone. An accommodating groove for placing the earphone is provided on the device main body, a key is slidably mounted on one of the device main body and fee earphone. A clamping groove is provided on the other one of the device main body and the earphone, and a snapin head cooperating with the clamping groove is provided at a top of the key. The key is provided with a first attraction portion, the device main body or the earphone having the clamping groove is provided with a second attraction portion, and the first attraction portion is magnetically attracted with the second attraction portion in a case that the key slides forward until the snapin head is inserted into the clamping groove.

Abstract: The present invention belongs to the bioengineering field, and relates to a method for fermentation production of L-theanine by using an Escherichia coli genetically engineered bacterium. The engineered bacterium is obtained by serving a strain as an original strain, wherein the strain is obtained after performing a single copy of T7RNAP, a dual copy of gmas, xylR knockout, and sucCD knockout on an Escherichia coli W3110 genome, and by integrating genes xfp, pta, acs, gltA, and ppc, and knocking out ackA on the genome. The present invention has a high yield, and stable production performance; after 20-25 h, L-theanine has a titer of 75-80 g/L, and the yield is up to 52-55%. The fermentation broth is purified by membrane separation in combination with a cation-anion resin series technique. Moreover, the one-step crystallization yield is 72.3% and the L-theanine final product has a purity of 99%.

Abstract: In one embodiment, a method for monitoring a localization function in an autonomous driving vehicle (ADV) can use known static objects as ground truths to determine when the localization function encounter errors. The known static objects are marked on a high definition (HD) map for the real-time driving environment. When the ADV detects one or more known static objects, the ADV can use sensor data, locations of the one or more static objects, and one or more error tolerance parameters to create a localization error tolerance area surrounding a current location of the ADV. The ADV can project the tolerance area on the HD map, performs a localization operation to generate an expected location of the ADV on the HD map, and determines whether the generated location falls within the projected tolerance area.

Abstract: According to one embodiment, a motion trajectory boundary is obtained based on a trajectory that has been planned to drive an ADV for a next time period. A safe driving area boundary is determined for the ADV based on perception data perceiving a driving environment surrounding the ADV. The motion trajectory boundary and the safe drivable area boundary are projected onto a map such as an HD map. A relative location of the ADV within the map relative to the motion trajectory and the safe drivable area boundary is determined. A fail-safe action or a fail operational action may be performed based on the relative location of the ADV in view of the motion trajectory boundary and the safe drivable area boundary.

Abstract: An embodiment of an electronic apparatus may include one or more substrates, and logic coupled to the one or more substrates, the logic to control local access to a persistent storage media and, in response to one or more commands, to determine an intermediate parity value based on a first local parity calculation, locally store the intermediate parity value, and determine a final parity value based on the intermediate parity value and a second local parity calculation. Other embodiments are disclosed and claimed.