Abstract: A column select signal cell circuit, a bit line sense circuit and a memory are disclosed. The column select signal cell circuit includes four column select cells, each of which includes 4*N input and output ports, 4*N bit line connection ports and one control port. The control ports of a first column select cell and a fourth column select cell are connected to a first column select signal, and the control ports of a second column select cell and a third column select cell are connected to a second column select signal. The bit line connection ports of the first column select cell and the third column select cell are connected to 8*N bit lines of a first storage unit group, the bit line connection ports of the second column select cell and the fourth column select cell are connected to 8*N bit lines of a second storage unit group.

Abstract: The present application discloses a method and a system for measuring a concentration of a gas to be measured by identifying features of an unknown gas. According to the method, a function model is constructed according to features of a known gas and features of a gas mixture, the features of the unknown gas are finally acquired by learning parameters in a training function, and the features of the unknown gas are incorporated into a feature library of the known gas, to provide more accurate parameters for obtaining the concentration of each component in the gas mixture through inversion calculation. The system includes a light source, a measuring cell, a spectrometer, a storage module, a learning and training module, an initialization module, and an inversion module.

Abstract: A composite premix composition is prepared from tannic acid, Litsea cubeba essential oil (LEO), selenium, and vitamin E.

Abstract: Aspects of the subject disclosure may include, for example, training a first machine learning model based on a combination of labeled training data and unlabeled training data, the first machine learning model producing augmented training data, training a second machine learning model based on a combination of the labeled training data and the augmented training data, receiving, at a client device, customer information about a service degradation at a user equipment (UE) device of a customer in a cellular network, providing the customer information to the second machine learning model, receiving, at the client device, from the second machine learning model, information identifying a root cause of the service degradation, and modifying a network component of the cellular network or the UE device, based on the information identifying a root cause of the service degradation. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving source information and destination information from a user device, receiving information defining an interactive application from the user device. determining, using network information of a mobility network, a navigation path from a source to a destination, the navigation path selected to enable continuous use of the interactive application with the user device on the mobility network during a journey from the source to the destination, and communicating navigation path information to the user device. Other embodiments are disclosed.

Abstract: Disclosed is a non-blind-area multi-view panoramic stereo imaging device. The device comprises a front lens assembly or a plane mirror, an aspheric mirror, a middle lens assembly, a panoramic block, a rear lens assembly and an image surface which are longitudinally arranged along an optical axis. The aspheric mirror comprises a central hole and an annular reflecting surface. The panoramic block comprises a front central circular transmission surface, a front reflecting surface, a front transmission surface, a rear reflecting surface and a rear transmission surface. The front reflecting surface, the front transmission surface and the rear reflecting surface are all annular surfaces. The inner edge of the front reflecting surface is connected with the edge of the front central circular transmission surface.

Abstract: Disclosed systems and methods may retrieve a base image of a plugin for a hyperconverged infrastructure (HCl) platform and create a Docker image for an HCl platform plugin based, in part, on the base image. The HCl platform plugin enables an extended function not native to the HCl platform. Disclosed methods may include registering the Docker image within an HCl platform instance running on an HCl appliance associated with a customer, and saving the Docker image to a Docker image repository within the HCl platform instance. The extended HCl platform function may be any suitable function including, as an illustrative example, a function for provisioning a third party storage device within the HCl platform. Disclosed method steps may be performed by an independent third party developer that lacks authorized access to an HCl platform instance.

Abstract: Disclosed systems and methods include or support a message logging service in which, responsive to receiving an event message generated by a business function, the message is logged in accordance with a message severity, one or more severity level attributes of the system, and one or more message logging criterion. Responsive to determining the message severity meets a first criterion, the message may be routed to and saved within a first persistent log file. Responsive to determining the message severity satisfies a second criterion, the message may be temporarily stored to a FIFO message queue, for possible inclusion in a second persistent log file. A health monitoring service for monitoring application programs corresponding to various business functions, upon detecting a degraded health state of a business function, may cause messages stored in the message queue to be dumped to a second persistent log file.

Abstract: Aspects of the subject disclosure may include, for example, categorizing users of a cellular network according to a plurality of user categories, identifying, by a machine learning model, a service degradation in the cellular network, identifying at least one affected user, the at least one affected user being affected by the service degradation, identifying one or more affected user categories including the at least one affected user, identifying potentially affected users, the potentially affected users being categorized according to the one or more affected user categories, and taking action to isolate the potentially affected users from the service degradation. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, training a cell-level machine learning model to predict a likelihood of a cell site in a cellular network having service issues that impact customers of the cellular network, training a user equipment (UE) level machine learning model using output information from the cell-level machine learning model and historical information about UE-level performance metrics, receiving, from a customer associated with a UE device operating on the cellular network, information about a service degradation experienced by the customer on the UE device, providing the information about the service degradation to the UE-level machine learning model; and receiving, from the UE-level machine learning model, information identifying a source of the service degradation. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving, from a machine learning model, information about an event causing a service degradation in a cellular network, wherein the event is external to the cellular network, determining one or more event categories associated with the event causing the service degradation, determining, based on the one or more event categories, likely affected customers, the likely affected customers being likely to experience the service degradation, determining, by the machine learning model, proper resources for resolution of the service degradation, wherein the determining proper resources is based on the one or more event categories, and dispatching the proper resources for resolution of the service degradation. Other embodiments are disclosed.

Abstract: Provided are a test assembly and a test tooling, including: interfaces, where one end of the interface is configured to connect a device under test, and the interfaces include a first interface and a second interface; a first three-way valve, where the first three-way valve includes a first cut-in valve, a first vent valve, and a first test valve, another end of the first interface is connected to the first cut-in valve, and the first vent valve lets in atmospheric air and is able to open and close; a second three-way valve, where the second three-way valve includes a second cut-in valve, a second vent valve, and a second test valve, another end of the second interface is connected to the second cut-in valve, and the second vent valve lets in atmospheric air and is able to open and close; and a manifold.

Abstract: A memory includes a storage circuit, a first reading circuit, a second reading circuit, and a plurality of correcting circuits. The storage circuit includes a plurality of sense amplifier arrays and a plurality of storage unit arrays. The sense amplifier arrays and the storage unit arrays are arranged alternately, and the sense amplifier arrays are configured to perform data reading and writing on the storage unit arrays. The first reading circuit is configured to compare a reference voltage signal with a signal on a first data line corresponding to the first reading circuit, and output a comparison result as read-out data. The second reading circuit is configured to compare the reference voltage signal with a signal on a first data line corresponding to the second reading circuit, and output a comparison result as read-out data.

Abstract: The invention relates to a perforating device for thermoplastic plates, which relates to the technical field of a plate processing device. The device comprises an electromagnetic chuck, one side of the electromagnetic chuck is connected with the motion part, the other side of the electromagnetic chuck is connected with a mounting plate and a spike. When the electromagnetic chuck is powered on, the spike is attracted below the mounting plate by the electromagnetic force. A clamping part is arranged below the mounting plate, the thermoplastic plate is fixed by the clamping part, and a heating system is also provided to heat the thermoplastic plate. As the electromagnetic chuck is powered on or off, the spike can be attracted in or separated from the mounting plate, respectively. Therefore, the perforating device can make a new plate be pierced during the cooling and curing process of the perforated plate.

Abstract: A specific absorption rate detection assembly, an SAR detection method, and an electronic device are provided. The SAR detection assembly includes a sensing branch, a detection branch, an SAR sensor, and a compensation branch. The sensing branch is configured to sense a capacitive signal. The detection branch is configured to generate a first noise signal by sensing ambient noise. The capacitive signal and the first noise signal are transmitted to the SAR sensor by the detection branch. A first end of the compensation branch is connected to a reference power-supply terminal. The compensation branch is configured to generate a second noise signal by sensing ambient noise and transmit the second noise signal to the SAR sensor. The second noise signal is used to simulate the first noise signal to compensate, through the second noise signal, the capacitive signal and the first noise signal transmitted to the SAR sensor.

Abstract: Provided are an electronic device, a control method thereof, and a non-transitory computer-readable storage medium. The electronic device includes: a first antenna radiator, a sensing body, a specific absorption rate (SAR) sensor and a controller. A path capable of transporting a direct current is provided between the first antenna radiator and at least one of a grounding terminal and a feeding terminal. The sensing body is configured to generate a capacitance signal by sensing a distance between a user and the sensing body. The SAR sensor is connected with the sensing body, and the SAR sensor is configured to receive the capacitance signal. The controller is connected with the SAR sensor, and the controller is configured to control, according to the capacitance signal, a transmit power of the first antenna radiator.

Abstract: Computer-readable media, methods, and systems are disclosed for automatic generation of dynamic application trace logs associated with a running application. A log viewer presents application log entries associated with an application execution log having been generated in connection with a previous execution of the running application. The application execution log is analyzed to identify application execution log context descriptors. The application execution log context descriptors are extracted from the application execution log. The application execution log context descriptors are transmitted to the running application. Matching templates that match each of the one or more application execution log context descriptors are received from the running application. The tracing templates that have an associated context relevance score are received from the running application.

Abstract: A system for increasing the extraction of an active ingredient includes a vacuum quick-dissolving tank, a mixer, a solid-liquid separator, and a homogenizer. The vacuum quick-dissolving tank receives a sample. The mixer is connected to the vacuum quick-dissolving tank, and provides an aqueous solvent to be mixed with the sample. Heating, cooling, stirring, and vacuuming in the vacuum quick-dissolving tank make the sample dissolve and emulsify repeatedly between the vacuum quick-dissolving tank and the mixer to produce a mixture, which is output by the vacuum quick-dissolving tank. The solid-liquid separator receives the mixture output from the vacuum quick-dissolving tank for solid-liquid separation, and outputs an isolated sample liquid. The homogenizer receives the sample liquid output from the solid-liquid separator, performs high-pressure homogenization to obtain an extract liquid containing an active ingredient, and outputs the extract liquid.