Abstract: Provided are an imaging method and system for residual stress of a basin insulator and a method for preparing a test block. The imaging method includes cutting and preparing a standard industrial sample of a basin insulator and testing the acoustoelastic coefficient of the standard industrial sample; then obtaining the residual stress data of the basin insulator and obtaining the spatial point sound velocity distribution of the basin insulator; finally, obtaining a stress distribution cloud map of the basin insulator by calculation of the attribute value and the coordinate data of a to-be-measured location, and performing reliability verification based on the residual stress data.

Abstract: A network threat intelligence relational triple combined extraction method based on deep learning includes: (a) an entity and a relation are both extracted by using a combined extraction method, which solves the problem of a lack of interaction between entity and relation extraction tasks; (b) a problem of entity overlapping is solved by using a method based on a span; (c) a BERT large-scale pre-training model is used for vector representation of a text; and because the pre-training model includes contextual information learned from a large-scale corpus, semantic expression on a threat intelligence text by the model can be extremely enriched; and (d) various modal information, for example, time sequences, dependency relations, the spans, labels, and the like, is fused to enhance the interaction between multimodal information.

Abstract: Provided are an imaging method and system for residual stress of a basin insulator and a method for preparing a test block. The imaging method includes cutting and preparing a standard industrial sample of a basin insulator and testing the acoustoelastic coefficient of the standard industrial sample; then obtaining the residual stress data of the basin insulator and obtaining the spatial point sound velocity distribution of the basin insulator; finally, obtaining a stress distribution cloud map of the basin insulator by calculation of the attribute value and the coordinate data of a to-be-measured location, and performing reliability verification based on the residual stress data.

Abstract: The present invention relates to the technical field of bionic covert underwater acoustic communication, and specifically relates to a feature extraction-based imitated marine mammal sound signal covertness scoring method. The scoring method combines feature engineering to extract six universal features of a marine mammal sound signal from the perspective of human hearing and a signal waveform, and uses these features to obtain a second bionic signal covertness score through a weight coefficient formula. The covertness scoring method can characterize intrinsic information of the bionic signal in more detail from more perspectives of the signal to more accurately evaluate a difference between the bionic signal and a real signal, and the obtained score value can more intuitively describe the quality of the bionic signal covertness.

Abstract: A coated textured glass article is described herein that comprises: a glass body comprising a first surface; a plurality of polyhedral surface features extending from the first surface; and a coating disposed on the first surface of the body and the plurality of polyhedral surface features. Each of the plurality of polyhedral surface features comprises a base on the first surface and a plurality of facets extending from the base and converging toward one another. The coating comprises a multilayer interference stack.

Abstract: The present disclosure provides a method and an apparatus for user equipment (UE) registering, an electronic device and a storage medium. Under 5G core network slice isolation networking, when an AMF network element detects that a UE is unsuccessfully registered on the AMF network element, the AMF network element sends to the UE a registration reject message comprising at least a first cell and a second cell. In this way, when the UE sends registration information again, the UE can select target network slice information based on network slice information configured in the first cell. And a 5G base station, when receiving the registration information from the UE, determines a corresponding target AMF network element based on the target network slice information in the requested NSSAI, such that the UE can be successfully registered to the target AMF network element.

Abstract: A display may have a pixel array such as a liquid crystal pixel array. The pixel array may be illuminated by a backlight unit that includes an array of light-emitting diodes (LEDs). The backlight unit may determine the type of content in the image data. The backlight unit may decide to prioritize either mitigating halo or mitigating clipping based on the type of content. The determination of the type of content in the image data may be used to determine the brightness values for the LEDs in the LED array. If the content is determined to be a first type of content, at least one given LED in the LED array may have a different brightness value than if the content is determined to be a second, different type of content. Classifying content in the image data may be useful in optimizing visible artifacts such as visible halo and clipping.

Abstract: The invention provides an SOFC cooling system. For the feature that not all components work in the full operation process of an SOFC, a DC step-down transformer DCDC, a fan and a condenser are connected in parallel, and a solenoid valve is installed in each parallel pipeline for controlling on/off of each pipeline according to a corresponding signal. Compared with the traditional SOFC cooling system, the constant-flow serial cooling system will reduce pressure losses and the power of a water pump; a solenoid valve is installed in each parallel pipeline for controlling on/off of each branch according to a corresponding signal; considering the cooling requirements of SOFC during start-up, power generation and shutdown, all components are cooled in parallel through reasonable design of each parallel pipeline, consequently to improve the cooling effect and reduce the energy consumption; the invention also discloses a fuel cell and hybrid vehicle.

Abstract: The invention provides an SOFC cooling system. For the feature that not all components work in the full operation process of an SOFC, a DC step-down transformer DCDC, a fan and a condenser are connected in parallel, and a solenoid valve is installed in each parallel pipeline for controlling on/off of each pipeline according to a corresponding signal. Compared with the traditional SOFC cooling system, the constant-flow serial cooling system will reduce pressure losses and the power of a water pump; a solenoid valve is installed in each parallel pipeline for controlling on/off of each branch according to a corresponding signal; considering the cooling requirements of SOFC during start-up, power generation and shutdown, all components are cooled in parallel through reasonable design of each parallel pipeline, consequently to improve the cooling effect and reduce the energy consumption; the invention also discloses a fuel cell and hybrid vehicle.

Abstract: A cold-hot component support structure, comprising a base and a connected support connected on the base by a bolt, wherein a bolt mounting hole is provided on the connected support, and an upper end face and a lower end face of the connected support are provided with an upper heat insulation block and a lower heat insulation block respectively. The lower heat insulation block is provided with a limit hole connecting the bolt mounting hole, and the upper heat insulation block is extended with a limit sleeve inserted in the limit hole. The supported support is clamped between the upper heat insulation block and the lower heat insulation block by an insertion structure between the upper heat insulation block and the lower heat insulation block, and an inner wall of a bolt hole on the connected support is insulated by the limit sleeve, so as to realize effective heat insulation of the connected support and reduce heat loss of the connected support.

Abstract: An electrochemically active material includes an alloy represented by general formula (I): SiaTibOcNdMe, (I) where a, b, c, d, and e represent atomic % values, a+b+c+d+e=100, M includes carbon or a transition metal element other than titanium, a>20, a+b+e?c+d, c?0, d>5, e?0, and a/b>0.5. The alloy includes a transition metal silicide, titanium nitride, or titanium oxynitride phase, and the phase has a Schemer grain size that is greater than 2 nm and less than 10 nm.

Abstract: The invention discloses a ginseng-derived nanoparticle and a preparation method and application thereof. The ginseng-derived nanoparticle disclosed in the invention has a membrane structure, a particle size ranging from 150 to 500 nm and a peak particle size of 280 to 350 nm; and the ginseng-derived nanoparticle is prepared by multiple centrifugation, filtration and impurity removal. The ginseng-derived nanoparticle has good application prospects in developing drugs for preparing natural immunopotentiators and for preparing natural anti-tumor drugs.

Abstract: Embodiments include automatic selection of sample values for optical metrology. An embodiment of a method includes providing a library parameter space for modeling of a diffracting structure using an optical metrology system; automatically determining by a processing unit a reduced sampling set from the library parameter space, wherein the reduced space is based on one or both of the following recommending a sampling shape based on an expected sample space usage, or recommending a sampling filter based on correlation between two or more parameters of the library parameter space; and generating a library for the optical metrology system using the reduced sampling set.

Abstract: Methods and systems for optimizing a set of measurement library control parameters for a particular metrology application are presented herein. Measurement signals are collected from one or more metrology targets by a target measurement system. Values of user selected parameters of interest are resolved by fitting a pre-computed measurement library function to the measurement signals for a given set of library control parameters. Values of one or more library control parameters are optimized such that differences between the values of the parameters of interest estimated by the library based measurement and reference values associated with trusted measurements of the parameters of interest are minimized. The optimization of the library control parameter values is performed without recalculating the pre-computed measurement library.

Abstract: The invention discloses a ginseng-derived nanoparticle and a preparation method and application thereof. The ginseng-derived nanoparticle disclosed in the invention has a membrane structure, a particle size ranging from 150 to 500 nm and a peak particle size of 280 to 350 nm; and the ginseng-derived nanoparticle is prepared by multiple centrifugation, filtration and impurity removal. The ginseng-derived nanoparticle has good application prospects in developing drugs for preparing natural immunopotentiators and for preparing natural anti-tumor drugs.

Abstract: Methods and systems for evaluating and ranking the measurement efficacy of multiple sets of measurement system combinations and recipes for a particular metrology application are presented herein. Measurement efficacy is based on estimates of measurement precision, measurement accuracy, correlation to a reference measurement, measurement time, or any combination thereof. The automated the selection of measurement system combinations and recipes reduces time to measurement and improves measurement results. Measurement efficacy is quantified by a set of measurement performance metrics associated with each measurement system and recipe. In one example, the sets of measurement system combinations and recipes most capable of measuring the desired parameter of interest are presented to the user in rank order based on corresponding values of one or more measurement performance metrics. A user is able to select the appropriate measurement system combination in an objective, quantitative manner.

Abstract: Methods and systems for optimizing a set of measurement library control parameters for a particular metrology application are presented herein. Measurement signals are collected from one or more metrology targets by a target measurement system. Values of user selected parameters of interest are resolved by fitting a pre-computed measurement library function to the measurement signals for a given set of library control parameters. Values of one or more library control parameters are optimized such that differences between the values of the parameters of interest estimated by the library based measurement and reference values associated with trusted measurements of the parameters of interest are minimized. The optimization of the library control parameter values is performed without recalculating the pre-computed measurement library.

Abstract: A metrology system, method, and computer program product that employ automatic transitioning between utilizing a library and utilizing regression for measurement processing are provided. In use, it is determined, by the metrology system, that a predetermined condition has been met. In response to determining that the predetermined condition has been met, the metrology system automatically transitions between utilizing a library and utilizing regression for measurement processing.

Abstract: Methods and systems for evaluating and ranking the measurement efficacy of multiple sets of measurement system combinations and recipes for a particular metrology application are presented herein. Measurement efficacy is based on estimates of measurement precision, measurement accuracy, correlation to a reference measurement, measurement time, or any combination thereof. The automated the selection of measurement system combinations and recipes reduces time to measurement and improves measurement results. Measurement efficacy is quantified by a set of measurement performance metrics associated with each measurement system and recipe. In one example, the sets of measurement system combinations and recipes most capable of measuring the desired parameter of interest are presented to the user in rank order based on corresponding values of one or more measurement performance metrics. A user is able to select the appropriate measurement system combination in an objective, quantitative manner.

Abstract: Disclosed are apparatus and methods for characterizing a plurality of structures of interest on a semiconductor wafer. A plurality of models having varying combinations of floating and fixed critical parameters and corresponding simulated spectra is generated. Each model is generated to determine one or more critical parameters for unknown structures based on spectra collected from such unknown structures. It is determined which one of the models best correlates with each critical parameter based on reference data that includes a plurality of known values for each of a plurality of critical parameters and corresponding known spectra. For spectra obtained from an unknown structure using a metrology tool, different ones of the models are selected and used to determine different ones of the critical parameters of the unknown structure based on determining which one of the models best correlates with each critical parameter based on the reference data.