Abstract: A gallium nitride power device, including: a gallium nitride substrate; cathodes; a plurality of gallium nitride protruding structures arranged on the gallium nitride substrate and between the cathodes, a groove is formed between adjacent gallium nitride protruding structures; an electron transport layer, covering a top portion and side surfaces of each of the gallium nitride protruding structures; a gallium nitride layer, arranged on the electron transport layer and filling each of the grooves; a plurality of second conductivity type regions, where each of the second conductivity type regions extends downward from a top portion of the gallium nitride layer into one of the grooves, and the top portion of each of the gallium nitride protruding structures is higher than a bottom portion of each of the second conductivity type regions; and an anode, arranged on the gallium nitride layer and the second conductivity type regions.

Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be a UE. The UE attempts to detect a trigger event. The UE determines values of a first set of power configuration parameters when the trigger event is detected. The UE transmits or receives signals in accordance with the values of the first set of power configuration parameters.

Abstract: Methods and systems are provided for generating interpretable user modeling system. The interpretable user modeling system can use an intent neural network to implement one or more tasks. The intent neural network can bridge a semantic gap between log data and human language by leveraging tutorial data to understand user logs in a semantically meaningful way. A memory unit of the intent neural network can capture information from the tutorial data. Such a memory unit can be queried to identify human readable sentences related to actions received by the intent neural network. The human readable sentences can be used to interpret the user log data in a semantically meaningful way.

Abstract: A cooperative robotic arm system includes a first robotic arm, a second robotic arm and a controller. The first robotic arm has first working vector. The second robotic arm has second working vector. The controller is configured to: (1) control the first robotic arm and the second robotic arm to stop moving; (2) determine whether a first projection vector of the first working vector projected on a first coordinate axis and a second working vector projected on the first coordinate axis overlaps; (3) when they overlap, determine whether a third projection vector of the first working vector projected on a second coordinate axis and a fourth projection vector of the second working vector projected on the second coordinate axis overlap; and, (4). when they do no overlap, control a controlled-to-moved one of the first robotic arm and the second robotic arm to move along a reset path.

Abstract: Examples of analyzing documents are defined. In an example, a request to analyze a document may be received. A knowledge model corresponding to a guideline associated with the document may be obtained. The knowledge model may include at least one of a hypothetical question and a logical flow to determine an inference to the hypothetical question. The hypothetical question relates to an element of the guideline. Based on the knowledge model, data from the document may be extracted for analysis using an artificial intelligence (AI) component. The Ai component may be configured to extract and analyze data, based on the knowledge model. Based on the analysis, a report indicating whether the document falls within a purview of the guideline may be generated.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for generating semantic scene graphs for digital images using an external knowledgebase for feature refinement. For example, the disclosed system can determine object proposals and subgraph proposals for a digital image to indicate candidate relationships between objects in the digital image. The disclosed system can then extract relationships from an external knowledgebase for refining features of the object proposals and the subgraph proposals. Additionally, the disclosed system can generate a semantic scene graph for the digital image based on the refined features of the object/subgraph proposals. Furthermore, the disclosed system can update/train a semantic scene graph generation network based on the generated semantic scene graph. The disclosed system can also reconstruct the image using object labels based on the refined features to further update/train the semantic scene graph generation network.

Abstract: An example system includes a processor and a non-transitory computer-readable medium having stored therein instructions that are executable to cause the system to perform various functions. The functions include obtaining an image associated with a print job, and providing the image as input to a convolutional neural network. The convolutional neural network includes a residual network, upscaling layers, and classification layers configured to detect whether the image is an artificial image having a computer-generated image gradient. The functions also include determining, based on an output of the classification layers, that the image is an artificial image having a computer-generated image gradient. Further, the functions include, based on determining that the image is an artificial image having a computer-generated image gradient, providing the image to an upscaling module of a print pipeline for upscaling rather than using an output of the upscaling layers for the upscaling.

Abstract: An ejector and a refrigeration system. The ejector includes: a high-pressure fluid passage extending from a high-pressure fluid inlet to a mixing chamber; a suction fluid passage extending from a suction fluid inlet to the mixing chamber, a first valve being disposed in the suction fluid passage; the mixing chamber, which includes a mixed fluid outlet; and a thermal bulb arranged in the suction fluid passage downstream of the first valve; wherein an elastic diaphragm is disposed in the suction fluid passage, the suction fluid passage is on a first side of the elastic diaphragm, and a closed cavity is on a second side of the elastic diaphragm; the thermal bulb is in communication with the closed cavity, and the thermal bulb and the closed cavity are filled with fluid.

Abstract: A method may include forming a mask layer on top of a first dielectric layer formed on a first source/drain and a second source/drain, and creating an opening in the mask layer and the first dielectric layer that exposes portions of the first source/drain and the second source/drain. The method may include filling the opening with a metal layer that covers the exposed portions of the first source/drain and the second source/drain, and forming a gap in the metal layer to create a first metal contact and a second metal contact. The first metal contact may electrically couple to the first source/drain and the second metal contact may electrically couple to the second source/drain. The gap may separate the first metal contact from the second metal contact by less than nineteen nanometers.

Abstract: The present invention relates to bifunctional fusion molecules for therapy of autoimmune and various inflammatory disorders, cancer or cancer metastasis. The bifunctional fusion molecules comprise various IL-2 variants which comprise mutations that preferentially promotes the proliferation, survival, activation and/or function of immunosuppressive regulatory T cells ((T CD4+CD25+FoxP3+) over effector T cells and NK cells or IL-2 variants which comprise mutations substantially reduce the ability of these polypeptides to stimulate Treg cells and make them more effective in the therapy of tumors. The bifunctional fusion molecules further comprise a disease tissue targeting biologic or comprise a tumor associated antigen (TAA)-targeting biologic. In another aspect the present invention relates to pharmaceutical compositions comprising the polypeptides disclosed.

Abstract: A spin dispenser module and methods for using the same is disclosed. The spin dispenser module includes a cup having a basin with sidewalls and an exhaust, a rotatable platform situated inside the cup adapted for holding and rotating a substrate, a liquid dispenser disposed over the rotatable platform for dispensing a liquid coating material on top of the substrate, one or more ejector inlets disposed over the rotatable platform, the one or more ejectors connected to a negative pressure source, and a motor coupled to the rotatable platform to rate the rotatable platform at different rotational speeds. The one or more ejector inlets may be translatable and/or rotatable with optionally adjustable suction pressure. The ejector inlets operate after a liquid coating material is dispensed to avoid deposition of suspended organic compounds after a coating is formed.

Abstract: A sample classification device including a carrier, a first detection module, and a sample pipeline is provided. The first detection module includes a first light-emitting device, a second light-emitting device, and a first optical sensing device. The first light emitting device is located on the carrier and used to emit light of a first wavelength. The second light emitting device is located on the carrier and used to emit light of a second wavelength. The first wavelength is different from the second wavelength. The first optical sensing device is located on the carrier and between the first light emitting device and the second light emitting device. The sample pipeline is located above the carrier and passes above the first optical sensing device.

Abstract: The present invention discloses a power supply device for intelligently adjusting an output voltage and a method thereof. The power supply device receives an external voltage source in order to modulate an external voltage from the external voltage source and provide the modulated external voltage to an electrical device with a preset power mode comprises: a power plug, a voltage modulation module, a connecting part, a control module.

Abstract: In some examples, image content moderation may include classifying, based on a learning model, an object displayed in an image into a category. Further, image content moderation may include detecting, based on another learning model, the object, refining the detected object based on a label, and determining, based on the another learning model, a category for the refined detected object. Further, image content moderation may include identifying, based on the label, a keyword associated with the object, and determining, based on the identified keyword, a category for the object. Further, image content moderation may include categorizing, based on a set of rules, the object into a category, and moderating image content by categorizing, based on aforementioned analysis the object into a category. Yet further, image content moderation may include tagging, based on fusion-based tagging, the object with a category and a color associated with the object.

Abstract: An optical element driving mechanism is provided. The optical element driving mechanism includes a movable portion for holding an optical element, a fixed portion, a driving assembly used for driving the movable portion to move relative to the fixed portion, and an adhesive element. The movable portion is movable relative to the fixed portion, and the fixed portion includes a case and a bottom affixed on the case. The case has a top wall and a side wall. The top wall is plate-shaped and is perpendicular to a main axis, and the side wall is not parallel to the top wall. An accommodating space for accommodating the movable portion is formed between the case and the bottom. The adhesive element is in direct contact with the bottom, the case, and the driving assembly.

Abstract: Aspects of the invention include a computer-implemented method for generating product recommendations used a hypergraph. The computer-implemented method includes generating a product embedding vector for a product unpurchased by a consumer based on a hypergraph. Generating a consumer embedding vector for the consumer based on the hypergraph. An affinity between the consumer and a product unpurchased by the consumer is scored based on the product embedding vector and the consumer embedding vector. A digital description of the unpurchased product is retrieved based on the scoring. The digital description is presented to the consumer.

Abstract: A control method for an air conditioning system. The control method includes: S100, acquiring an actual cooling/heating capacity output by the air conditioning system, and acquiring an actual temperature change rate of an indoor heat exchange unit; S200, automatically learning a heat exchange load characteristic curve of the indoor heat exchange unit based on the actual cooling/heating capacity and the temperature change rate; S300, acquiring a steady state load and/or a desired load of the indoor heat exchange unit based on the heat exchange load characteristic curve; and S400 adjusting the number of operating compressors and rotational speeds of compressors, and/or adjusting the number of operating injectors and opening degrees of injectors, based on the steady state load and/or the desired load.

Abstract: A forming method of a semiconductor structure includes: providing a substrate including an array area and a peripheral area; forming a first insulating dielectric layer in the array area and the peripheral area at the same time, and etching the first insulating dielectric layer and the component dielectric layer in the array area; filling the plurality of trenches; performing back etching on the reference isolation structure and the first insulating dielectric layer; forming a second insulating dielectric layer in the array area and the peripheral area; patterning the second insulating dielectric layer; removing the first insulating dielectric layer in the array area; and removing the second insulating dielectric layer to form a contact material in the contact window.

Abstract: A heterojunction semiconductor device comprises a substrate; a second barrier layer is disposed on the second channel layer and a second channel is formed; a trench gate structure is disposed in the second barrier layer; the trench gate structure is embedded into the second barrier layer and is composed of a gate medium and a gate metal located in the gate medium; an isolation layer is disposed in the second channel layer and separates the second channel layer into an upper layer and a lower layer; a first barrier layer is disposed between the lower layer of the second channel layer and the first channel layer and a first channel is formed; a bottom of the metal drain is flush with a bottom of the first barrier layer; and a first metal source is disposed between the second metal source and the first channel layer.

Abstract: The present disclosure provides a fire resistant LED module, including a metal mask and a printed circuit board (PCB). A layer of flame-retardant glue is coated on one side, facing the PCB, of the metal mask, and the metal mask is pasted with the PCB through the flame-retardant glue. A sub-black insulating surface layer is disposed on the metal mask. The present disclosure further provides a manufacturing method of the fire resistant LED module, including following steps: processing surfaces of the metal mask after etching to form the sub-black insulating surface layer; coating the flame-retardant glue on one surface of the metal mask facing the PCB; and covering the metal mask on the PCB through the flame-retardant glue. The sub-black insulating surface layer is formed through processing the surfaces of the metal mask 1.