Abstract: An optical system affixed to an electronic apparatus is provided, including a first optical module, a second optical module, and a third optical module. The first optical module is configured to adjust the moving direction of a first light from a first moving direction to a second moving direction, wherein the first moving direction is not parallel to the second moving direction. The second optical module is configured to receive the first light moving in the second moving direction. The first light reaches the third optical module via the first optical module and the second optical module in sequence. The third optical module includes a first photoelectric converter configured to transform the first light into a first image signal.

Abstract: A defect rate reduction method for finished products is disclosed. First, size parameters of various types of trademarks, indentations, and printed patterns are entered into a database to generate basic images, a corresponding standard trademark image is collected in real time for each basic image, and edge finding parameter optimization is manually performed, to find edge finding parameters that can be used to accurately extract the trademark edge, the indentation edge, and printed pattern edge on the standard trademark image, to complete the database modeling; sampling detection is performed, edge information is extracted based on a database model, a corresponding distance is calculated based on each extracted edge data information, and the information is compared with internal control to determine surface parameter quality of the sample trademark respectively, it is determined whether production requirements are met based on a determination result, and the unqualified batch of trademarks is eliminated.

Abstract: A system and method for detecting a facial apparatus including a facial image processor arranged to process an image or a stream of images to detect a facial apparatus on one or more faces represented within the image or the stream of images; and generating a notification output based on a detection of the facial apparatus on the one or more faces.

Abstract: A double-layer rack includes a PCIe card frame, a network card frame, a PCIe riser card and a network card connector assembly. The PCIe card frame is stacked on the network card frame. The network card frame has a network card accommodation space for selectively receiving one OCP network card, two OCP network cards or one data processing unit. The PCIe riser card is disposed in the PCIe accommodation space. The network card connector assembly is disposed in the network card accommodation space. The double-layer rack further includes a blocker component and a divider plate selectively and removably disposed on the network card frame, so that the network card accommodation space forms various accommodation space configurations for selectively receiving the one OCP network card, the two OCP network cards or the one data processing unit.

Abstract: The split type precisely-anchorable transcatheter tricuspid valve system comprises a split transcatheter tricuspid valve anchoring stent (10) and a transcatheter artificial biological tricuspid valve (20), wherein the shape and structure of the transcatheter tricuspid valve anchoring stent (10) are matched with the tricuspid valve real structure after the patient's image data is subjected to three-dimensional reconstruction, the transcatheter tricuspid valve anchoring stent (10) is firstly delivered to the tricuspid valve site of the patient to be released, deformed and personalized and precise alignment with a supravalvular (40) and subvalvular (50) tissue of the patient's tricuspid valve site; the transcatheter artificial biological tricuspid valve (20) is delivered into the transcatheter tricuspid valve anchoring stent (10) to be released, and the transcatheter artificial biological tricuspid valve (20) is released and deformed and expanded to a functional state, the transcatheter tricuspid valve anchoring

Abstract: An optical member driving mechanism for connecting an optical member is provided, including a fixed portion and a first adhesive member. The fixed portion includes a first member and a second member, wherein the first member is fixedly connected to the second member via the first adhesive member.

Abstract: An optical system affixed to an electronic apparatus is provided, including a first optical module, a second optical module, and a third optical module. The first optical module is configured to adjust the moving direction of a first light from a first moving direction to a second moving direction, wherein the first moving direction is not parallel to the second moving direction. The second optical module is configured to receive the first light moving in the second moving direction. The first light reaches the third optical module via the first optical module and the second optical module in sequence. The third optical module includes a first photoelectric converter configured to transform the first light into a first image signal.

Abstract: A screenshot method includes that a terminal responds to a non-stylus operation by entering a screenshot waiting state. When the terminal establishes a connection to the stylus, the terminal detects an operation of the stylus on a touchscreen of the terminal. If an operation of drawing a closed figure with the stylus is detected, the terminal takes a screenshot of interface content in the closed figure drawn with the stylus.

Abstract: Systems, methods, and computer program products are directed to machine learning techniques that use a separate embedding layer. This can allow for continuous monitoring of a processing system based on events that are continuously generated. Various events may have corresponding feature data associated with at least one action relating to a processing system. Embedding vectors that correspond to the features are retrieved from an embedding layer that is hosted on a separate physical device or a separate computer system from a computer that hosts the machine learning system. The embedding vectors are processed though the machine learning model, which may then make a determination (e.g. whether or not a particular user action should be allowed). Generic embedding vectors additionally enable the use of a single remote embedding layer for multiple different machine learning models, such as event driven data models.

Abstract: The embodiments of the present application disclose a method and apparatus for calculating carbon emission intensities, and a terminal and a storage medium thereof, which belong to the field of energy management. The method includes: acquiring basic attribute data of a power system, and acquiring an active power generation amount of a power generator set based on the basic attribute data; acquiring an initial value of a carbon emission factor of power generation fuel of the power generator set according to a life cycle type of the power generator set, wherein the initial value is defined to indicate a carbon emission amount caused by a unit power generation amount; and acquiring a carbon intensity of the power generator set based on the active power generation amount and the initial weight value of the power generator set.

Abstract: A spork structure is provided in this application, comprising a holding part, a flexible part and a spork part. The flexible part has a first surface and a second surface opposite to the first surface, one end of the flexible part is connected to one end of the holding part, the first surface presents a convex surface, and the second surface presents a concave surface. The spork part has multiple tines, each of one end of the multiple tines is connected to the other end of the flexible part in parallel, the other end of multiple tines is mutually away from each other, wherein when pressing the first surface of the flexible part, the first surface presents a concave surface, the second surface presents a convex surface, the other end of multiple tines is mutually close to each other, and the lateral sides of multiple tines adhere to each other.

Abstract: The present invention discloses a scented straw. The scented straw has a straw body and a scented portion or a scented ring, in order to generate fragrance. When the user uses the scented straw of the present invention to absorb the odorless liquid, by scenteding the aroma of the scented portion or the scented ring, the user thinks that he has tasted a flavorful drink, which scented and taste experience are different from using a traditional straw to absorb a liquid with food additives.

Abstract: Systems, methods, and computer program products are directed to machine learning techniques that use a separate embedding layer. This can allow for continuous monitoring of a processing system based on events that are continuously generated. Various events may have corresponding feature data associated with at least one action relating to a processing system. Embedding vectors that correspond to the features are retrieved from an embedding layer that is hosted on a separate physical device or a separate computer system from a computer that hosts the machine learning system. The embedding vectors are processed though the machine learning model, which may then make a determination (e.g. whether or not a particular user action should be allowed). Generic embedding vectors additionally enable the use of a single remote embedding layer for multiple different machine learning models, such as event driven data models.

Abstract: A tubular container and a beverage brewing device thereof are provided. The tubular container includes a barrel-shaped tube body having one or two access openings. The one or two access openings each have a threaded structure that can be an internal thread structure or an external thread structure for engaging another device, such as another tubular container or another beverage brewing device. The tubular container further includes a blocking structure disposed at each of the access openings, and the blocking structure is used for sealing contents that are used for brewing beverages and filled in the tubular container. A thread structure of the beverage brewing device engages with the tubular container that is provided in a form of a single tubular container or a combination of a plurality of tubular containers, in which the plurality of tubular containers are combined with mutually corresponding thread structures.

Abstract: Methods, and related compositions, for the improved synthesis of [18F]DCFPyL are disclosed. Also provided are methods, and related compositions, for the use of [18F]DCFPyL so produced.

Abstract: A waste storage device and an intelligent management system are provided. The waste storage device includes: a casing, a control module disposed in the casing, a microphone module disposed on an outer surface of the casing, and a moving module electrically connected to the control module. The microphone module is electrically connected to the control module. When the microphone module receives a first audio signal, the microphone module transmits the first audio signal to the control module, the control module analyzes an audio sending direction of the first audio signal, and the control module provides a driving signal to the moving module according to the first audio signal to drive the waste storage device to move in the audio sending direction.

Abstract: This application discusses identifying data processing timeouts in live risk analysis systems. A service provider, such as an electronic transaction processor, may provide a production computing environment that includes a risk analysis system having one or more risk models, which may be machine-learning based. These risk models may be utilized in order to determine whether incoming data processing requests are fraudulent. To test these risk models using production data traffic, an audit computing environment made of a set of machines that do not service production computing environment requests, but that utilize databases and data connections as are used by the production systems. The audit computing environment may thus mirror the risk models and functionality of the production computing environment without the drawbacks of a typical fully separate testing environment.

Abstract: Systems, methods, and computer program products are directed to machine learning techniques that use a separate embedding layer. This can allow for continuous monitoring of a processing system based on events that are continuously generated. Various events may have corresponding feature data associated with at least one action relating to a processing system. Embedding vectors that correspond to the features are retrieved from an embedding layer that is hosted on a separate physical device or a separate computer system from a computer that hosts the machine learning system. The embedding vectors are processed though the machine learning model, which may then make a determination (e.g. whether or not a particular user action should be allowed). Generic embedding vectors additionally enable the use of a single remote embedding layer for multiple different machine learning models, such as event driven data models.