Abstract: Provided is an engineered bacterium for producing nervonic acid and/or grease. The genome of the engineering bacterium is integrated with an expression cassette expressing a protein encoded by 3-ketoacyl-CoA synthase (KCS) gene and/or an exterase gene.

Abstract: The present invention discloses a resource recovery method and a resource recovery system of desulfurized ash. The resource recovery method comprises: washing desulfurized ash with water, and performing solid-liquid separation to obtain solid residues rich in calcium sulfite and calcium sulfate and a solution rich in calcium hydroxide; preparing the solution into desulfurized slurry; and roasting the solid residues under the action of a reducing agent to obtain flue gas rich in sulfur dioxide and residues rich in calcium oxide. Therefore, the recovery of sulfur and calcium in the desulfurized ash is realized, and no solid waste, liquid waste, gas waste, etc. are produced in the process.

Abstract: Embodiments of this application provide a method applied to a signal synchronization system, a system, a stylus, and an electronic device. The system includes a stylus and an electronic device. The electronic device supports a first refresh rate and a second refresh rate. The method includes: after an electronic device is wirelessly connected to a stylus, the electronic device samples a downlink signal from the stylus based on a third refresh rate, where the third refresh rate is equal to a first refresh rate or a second refresh rate; and the stylus sends the downlink signal to the electronic device based on the third refresh rate, and samples an uplink signal from the electronic device at a fourth refresh rate, where the fourth refresh rate is the least common multiple of the first refresh rate and the second refresh rate.

Abstract: A method of manufacturing a gate structure includes at least the following steps. A gate dielectric layer is formed. A work function layer is deposited on the gate dielectric layer. A barrier layer is formed on the work function layer. A metal layer is deposited on the barrier layer to introduce fluorine atoms into the barrier layer. The barrier layer is formed by at least the following steps. A first TiN layer is formed on the work function layer. A top portion of the first TiN layer is converted into a trapping layer, and the trapping layer includes silicon atoms or aluminum atoms. A second TiN layer is formed on the trapping layer.

Abstract: Semiconductor device structures having gate structures with tunable threshold voltages are provided. Various geometries of device structure can be varied to tune the threshold voltages. In some examples, distances from tops of fins to tops of gate structures can be varied to tune threshold voltages. In some examples, distances from outermost sidewalls of gate structures to respective nearest sidewalls of nearest fins to the respective outermost sidewalls (which respective gate structure overlies the nearest fin) can be varied to tune threshold voltages.

Abstract: A method for training a deep neural network (DNN) capable of adversarial detection. The DNN is configured with a plurality of sets of weights candidates. The method includes inputting training data selected from training data set to the DNN. The method further includes calculating, based on the training data, a first term for indicating a difference between a variational posterior probability distribution and a true posterior probability distribution of the DNN. The method further includes perturbing the training data to generate perturbed training data; and calculating a second term for indicating a quantification of predictive uncertainty on the perturbed training data. The method further includes updating the plurality of sets of weights candidates of the DNN based on augmenting the summation of the first term and the second term.

Abstract: A gate structure includes a metal layer, a barrier layer, and a work function layer. The barrier layer covers a bottom surface and sidewalls of the metal layer. The barrier layer includes fluorine and silicon, or fluorine and aluminum. The barrier layer is a tri-layered structure. The work function layer surrounds the barrier layer.

Abstract: A method for generating adversarial examples for a Graph Neural Network (GNN) model. The method includes: determining vulnerable features of target nodes in a graph based on querying the GNN model, wherein the graph comprising nodes including the target nodes and edges, each of the edges connecting two of the nodes; grouping the target nodes into a plurality of clusters according to the vulnerable features of the target nodes; and obtaining the adversarial examples based on the plurality of clusters.

Abstract: The present teaching, which includes methods, systems and computer-readable media, relates to providing query suggestions based on a number of data sources that include person's personal data and non-personal data. The disclosed techniques may include receiving an input from a person, obtaining a first set of suggestions based on a person corpus derived from at least one data source private to the person, obtaining a second set of suggestions based on information from an additional data source, ranking the first and second sets of suggestions to generate a ranked list of suggestions, and presenting at least some of the ranked suggestions.

Abstract: A lock assembly includes a casing, a blocking unit, and a lock unit. The blocking unit includes a blocking member operable to move between an open position and a block position. The lock unit includes an engaging member, an electric unlock module, and a manual unlock module. The engaging member has a main body having first and second abutment portions, and is movable between an engaging position for engaging the blocking member when the blocking member is in the block position, and an unlocked position for disengaging from the blocking member. One of the electric unlock module and the manual unlock module is operable to abut a push member thereof against a corresponding one of the first and second abutment portions to linearly move the engaging member.

Abstract: A location-aware search assist capability identifies location-aware search query suggestions using location information associated with the location-aware search query suggestions. A user's search query input and location and a location associated with each location-aware search query suggestion candidates may be used to identify a set of search query suggestions for presentation to the user. Location-aware search query suggestion candidates may be ranked in accordance with a closeness of each one's location to the user's location. The ranking may be performed using a score, such as a popularity score associated with each search query suggestion candidate. The location-aware search query suggestion candidates having a location closer to the user's location may be promoted by adjusting each candidate's popularity score upward, and the search query suggestion candidates that are farther away from the user's location may be demoted by adjusting each such candidate's popularity score downward.

Abstract: A method for training neural networks based on energy-based latent variable models (EBLVMs) includes bi-level optimizations based on a score matching objective. The lower-level optimizes a variational posterior distribution of the latent variables to approximate the true posterior distribution of the EBLVM, and the higher-level optimizes the neural network parameters based on a modified SM objective as a function of the variational posterior distribution. The method is used to train neural networks based on EBLVMs with nonstructural assumptions.

Abstract: The present teaching, which includes methods, systems and computer-readable media, relates to providing query suggestions based on a number of data sources including person's personal data and non-personal data. The disclosed techniques may include receiving an input from a person, obtaining a first set of suggestions based on information from a first data source, presenting the first set of suggestions to the person, and presenting, to the person, a second set of suggestions obtained from a person corpus when a portion of the person corpus relevant to the input is accessible. The person corpus may be from a second data source that is private to the person.

Abstract: A building controller may include a housing having a back plate and a mounting clip, which may be slidably disposed relative to the back plate between a wall mount position used when mounting the building controller to the wall, and a DIN rail mount position used when mounting the building controller to a DIN rail. When in the wall mount position, the mounting clip and the back plate may be configured to hold the mounting clip in the wall mount position until at least a first threshold sliding force is applied to the mounting clip. When in the DIN rail mount position, the mounting clip and the back plate are configured to hold the mounting clip in the DIN rail mount position until at least a second threshold sliding force is applied to the mounting clip.

Abstract: An enhanced screen sharing method includes: a first electronic device that displays a first shared interface, and sends interface data of the first shared interface to a second electronic device. The second electronic device receives the interface data, and displays a second shared interface corresponding to the first shared interface. The second electronic device enables an interconnection mode for the first electronic device, and when detecting a trigger operation performed by a user on the second shared interface, determines event information corresponding to the trigger operation. The event information includes an event type and operation area information that correspond to the trigger operation. The second electronic device sends the event information to the first electronic device. The first electronic device receives the event information, and performs a corresponding operation based on the event information.

Abstract: A target image corresponding to a novel view may be synthesized from two source images, corresponding source camera poses, and pixel attribute correspondences between the two source images. A particular object in the target image need only be visible in one of the two source images for successful synthesis. Each pixel in the target image is defined according to an identified pixel in one of the two source images. The identified source pixel provides attributes such as color, texture, and feature descriptors for the target pixel. The source and target camera poses are used to define geometric relationships for identifying the source pixels. In an embodiment, the pixel attribute correspondences are optical flow that defines movement of attributes from a first image of the two source images to a second image of the two source images.

Abstract: In various examples, dynamic seam placement is used to position seams in regions of overlapping image data to avoid crossing salient objects or regions. Objects may be detected from image frames representing overlapping views of an environment surrounding an ego-object such as a vehicle. The images may be aligned to create an aligned composite image or surface (e.g., a panorama, a 360° image, bowl shaped surface) with regions of overlapping image data, and a representation of the detected objects and/or salient regions (e.g., a saliency mask) may be generated and projected onto the aligned composite image or surface. Seams may be positioned in the overlapping regions to avoid or minimize crossing salient pixels represented in the projected masks, and the image data may be blended at the seams to create a stitched image or surface (e.g., a stitched panorama, stitched 360° image, stitched textured surface).

Abstract: In various examples, a state machine is used to select between a default seam placement or dynamic seam placement that avoids salient regions, and to enable and disable dynamic seam placement based on speed of ego-motion, direction of ego-motion, proximity to salient objects, active viewport, driver gaze, and/or other factors. Images representing overlapping views of an environment may be aligned to create an aligned composite image or surface (e.g., a panorama, a 360° image, bowl shaped surface) with overlapping regions of image data, and a default or dynamic seam placement may be selected based on driving scenario (e.g., driving direction, speed, proximity to nearby objects). As such, seams may be positioned in the overlapping regions of image data, and the image data may be blended at the seams to create a stitched image or surface (e.g., a stitched panorama, stitched 360° image, stitched textured surface).

Abstract: A target image corresponding to a novel view may be synthesized from two source images, corresponding source camera poses, and pixel attribute correspondences between the two source images. A particular object in the target image need only be visible in one of the two source images for successful synthesis. Each pixel in the target image is defined according to an identified pixel in one of the two source images. The identified source pixel provides attributes such as color, texture, and feature descriptors for the target pixel. The source and target camera poses are used to define geometric relationships for identifying the source pixels. In an embodiment, the pixel attribute correspondences are optical flow that defines movement of attributes from a first image of the two source images to a second image of the two source images.

Abstract: A method for residential unit floorplan generation, includes obtaining a current status of a floorplan, performing a plurality of iterations to obtain a plurality of scores until a predetermined number of iterations is reached, and deploying the one or more rooms to be deployed according to a highest score of the plurality of the scores to update the floorplan. In each of the plurality of iterations, the method further includes obtaining room information of one or more rooms to be deployed through a particle swarm algorithm, according to the room information of the one or more rooms to be deployed, performing multiple Monte Carlo tree searches to obtain coordinate information of the one or more rooms to be deployed, and determining one of the plurality of scores of the room information and the coordinate information through an evaluation function.