Abstract: An injection molding apparatus includes a first mold module, a second mold module, and an ejection mechanism. The second mold module is disposed on the first mold module. An injection chamber and a product chamber are formed between the first mold module and the second mold module. The ejection mechanism includes a main ejection assembly; a main ejection rod mounted to the main ejection assembly and passes through the first mold module; the central ejection assembly disposed in the main ejection assembly; and a central ejection rod mounted to the central ejection assembly and passes through the first mold module. After plastic in the injection chamber and the product chamber are cooled, a plastic product and an injection part connected to the plastic product are formed. Next, the central ejection assembly is lifted to separate the injection part from the plastic product by the central ejection rod.

Abstract: An injection molding apparatus includes a first mold, a first mold module, and a cover plate. The first mold includes a first receiving groove. The first mold module is disposed in the first receiving groove. The first mold module includes an upper surface, a lower surface, an injection groove formed on the lower surface, a central channel formed on the upper surface, and cooling channels formed on the upper surface. The central channel and the first ends of the cooling channels are above the injection groove. The cover plate covers the upper surface, the central channel, and the cooling channels. The injection groove, the central channel, and the cooling channels are separated from each other, and the cooling channels are arranged radially on the upper surface and surround the central channel.

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.

Abstract: A chair device, a mattress device, and a propping device are provided. The chair device includes a support stand, a seat module disposed above the support stand, a connection module disposed at one side of the seat module, a back support module connected to the connection module and disposed at one side of the seat module, a first pressure adjustment module disposed in the seat module, a second pressure adjustment module disposed in the back support module, a first pressure sensing module disposed in the seat module, a second pressure sensing module disposed in the back support module, and a control module. The control module adjusts the first pressure adjustment module according to first sensed pressure signals from the first pressure sensing module, and adjusts the second pressure adjustment module according to second sensed pressure signals from the second pressure sensing module.

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: 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 and methods implemented through a user device, for claiming network devices for a home network in a distributed Wi-Fi network includes discovering a newly powered on access point; claiming the newly powered on access point for the home network; and relaying the claimed newly powered on access point to a cloud controller via a disjoint network from the home network, wherein the home network is restricted by the cloud controller to only operate with claimed access points. The discovering, the claiming, and the relaying can be performed by a mobile application executed on the user device.

Abstract: A chair device, a mattress device, and a propping device are provided. The chair device includes a support stand, a seat module disposed above the support stand, a connection module disposed at one side of the seat module, a back support module connected to the connection module and disposed at one side of the seat module, a first pressure adjustment module disposed in the seat module, a second pressure adjustment module disposed in the back support module, a first pressure sensing module disposed in the seat module, a second pressure sensing module disposed in the back support module, and a control module. The control module adjusts the first pressure adjustment module according to first sensed pressure signals from the first pressure sensing module, and adjusts the second pressure adjustment module according to second sensed pressure signals from the second pressure sensing module.