Abstract: An acoustic environment identification system is disclosed that can use neural networks to accurately identify environments. The acoustic environment identification system can use one or more convolutional neural networks to generate audio feature data. A recursive neural network can process the audio feature data to generate characterization data. The characterization data can be modified using a weighting system that weights signature data items. Classification neural networks can be used to generate a classification of an environment.

Abstract: A composition for detecting SARS-CoV-2 is provided; moreover, a kit including the composition, the use of the kit, and a method for detecting SARS-CoV-2 are also provided.

Abstract: A growth-promoting bacterial agent capable of improving content of soybean oil, preparation method, and use thereof are provided. The growth-promoting bacterial agent is fermented by a DW1 strain, the classification name of the DW1 strain is Bacillus sp., the DW1 strain is deposited in the China Center for Type Culture Collection on Jul. 16, 2021, and the deposit number is CCTCC NO: M 2021889. The growth-promoting bacterial agent of the present disclosure has the ability to dissolve insoluble phosphorus and insoluble potassium and can increase content of readily available phosphorus and readily available potassium in the soil, which has an obvious promoting effect on the growth of soybean and improves soybean yield. The growth-promoting bacterial agent of the present disclosure promotes bacteria and can significantly improve the content of soybean oil. At the same time, it has an affinity of soybean agglutinin and can agglutinate with the soybean agglutinin.

Abstract: A method and a device for predicting food safety risk level section are provided in the present application. The method includes: obtaining risk level time series data of the food; decomposing the risk level time series data to obtain a plurality of sub-series data; performing point predictions on the plurality of sub-series data to obtain corresponding point prediction results; determining a final point prediction result corresponding to the food risk level time series data based on the point prediction results corresponding to the plurality of sub-series data; determining a prediction residual corresponding to the final point prediction result; and determining a section prediction result by performing section prediction based on the prediction residua. In the present application, more prediction information and quantitative prediction of the uncertainty of future food risks are provided by adding section prediction based on point prediction.

Abstract: Provided herein are methods for multiplexed in situ analysis of biomolecules in a tissue. In particular, provided herein are methods for multiplexed single-cell in situ protein and nucleic acid profiling in fixed or fresh tissues, and also allows the investigation of the different cell compositions and their spatial organizations in intact tissues through consecutive cycles of probe hybridization, fluorescence imaging, and signal removal.

Abstract: Disclosed are a lidar, and a detection method for the lidar. The lidar includes a plurality of laser transceiver module groups, each configured to be integrated with at least one laser transmitting end and at least one laser receiving end, and a scanning module. The plurality of laser transceiver module groups are arranged in a distributed manner relative to the scanning module, and an at least partially stitched field of view of the lidar is formed by sub-fields of view correspondingly formed by the plurality of laser transceiver module groups. Further disclosed are a lidar and a manufacturing method for the lidar. The lidar includes a laser transmitting end, a laser receiving end, a scanning module and an isolation mechanism. A scanning component of the scanning module is constructed as a rotatable plate-shaped double-faceted mirror or a rotatable prism.

Abstract: Disclosed is a new continuous lithium-sodium separation method.

Abstract: A new method for extracting lithium from salt lake brine, comprising the following steps: a salt lake old brine raw material, desorption liquid, low-magnesium water, and adsorption tail liquid pass through an old brine feeding pipe (2), a desorption liquid feeding pipe (4), a low-magnesium water top desorption liquid feeding pipe (3), and an adsorption tail liquid top desorption liquid feeding pipe (11), respectively, which are located above and below a rotary disc of a multi-way valve system (1); and after respectively entering corresponding adsorption columns (6) by means of a duct and channel within the multi-way valve system (1), the entire process procedure is completed from an adsorption tail liquid discharge pipe (7), a qualified desorption liquid discharge pipe (10), a lithium-containing old brine discharge pipe (8), and an adsorption tail liquid top desorption liquid discharge pipe (5); and the adsorption columns (6) are connected in series or in parallel by means of channels located in the multi-way

Abstract: Embodiments of pixel circuit, image sensor, image pickup device and methods for using the same are provided. In an example, the pixel circuit comprises a source module configured to output non-simultaneously a reference signal indicative of a reset level and an electrical signal indicative of incident light, a sampling module comprising a first sampling unit, a second sampling unit and a sampling switch, a first switch module configured to be electrically coupled between the source module and the sampling module, and a second switch module configured to be electrically coupled between the sampling module and a bus.

Abstract: An acoustic environment identification system is disclosed that can use neural networks to accurately identify environments. The acoustic environment identification system can use one or more convolutional neural networks to generate audio feature data. A recursive neural network can process the audio feature data to generate characterization data. The characterization data can be modified using a weighting system that weights signature data items. Classification neural networks can be used to generate a classification of an environment.

Abstract: A preparation method of the microcapsules for low-temperature well cementation to be used to control cement hydration heat includes: (S1) a shell material, and added into deionized water, then the resultant mixture being stirred in a thermostat water bath so as to completely dissolve it into a homogeneous and stable shell material solution; (S2) a core material and an emulsifier being put into a three-necked flask and stirred in a thermostat water bath so as to uniformly emulsify and disperse them, forming a stable oil-in-water core material emulsion, while adjusting the pH value of the emulsion with a pH adjuster; (S3) the three-necked flask containing the core material emulsion being transferred to a water bath, and then the shell material solution being dropwise added into it with stirring, after reacting, a solid-liquid mixture being poured out so as to naturally cool it to room temperature.

Abstract: A pump body assembly and a compressor with the pump body assembly. The pump body assembly includes: an oil supply passage for circulating oil; and two back pressure members, at least one of the two back pressure members being provided with a back pressure groove, the back pressure groove including a first groove section and a second groove section, the first groove section and the second groove section are disposed at intervals, the first groove section communicating with the oil supply passage, the second groove section communicating with the oil supply passage, wherein the communication area of the first groove section and the oil supply passage is a, the communication area of the second groove section and the oil supply passage is b, and a<b.

Abstract: Example access network devices are described. One example access network device includes a signal processing apparatus. The signal processing apparatus includes a first power amplifier, a second power amplifier, a first filter, a second filter, and a combiner. The first filter filters a second signal obtained by the first power amplifier, to obtain a first sub-signal belonging to a first frequency band and a second sub-signal belonging to a second frequency band. The second filter filters a fourth signal obtained by the second power amplifier, to obtain n sub-signals including at least a third sub-signal belonging to a third frequency band. The combiner combines the first sub-signal and i sub-signals in the n sub-signals based on a preset condition, to obtain a first combined signal. The communication module sends the first combined signal by using a first port, and sends the second sub-signal by using a second port.

Abstract: Provided herein are high-throughput, high-quality methods of consecutive in situ hybridization for analysis of the genome and/or transcriptome in an individual cell with single-molecule sensitivity. In particular, provided herein are methods comprising visualizing individual genomic loci or transcripts as single detectable signals (e.g., fluorescent spots) which remain in place during consecutive hybridization. In each cycle of consecutive hybridization, detectably labeled probes hybridize to the probe used in the previous cycle, and also introduce the binding sites for the probe of the following cycle. Through consecutive cycles of probe hybridization, imaging, and signal removal, different genomic loci or RNA species can be identified by unique detectable signal profiles (e.g., fluorescent spots with unique color sequences). The number of varied color sequences increases exponentially with the number of hybridization cycles, which enables the genome or transcriptome-wide analysis.

Abstract: A transistor device according to some embodiments includes a channel layer, a barrier layer on the channel layer, and source and drain contacts on the barrier layer, and a gate contact on the barrier layer between the source and drain contacts. The channel layer includes a sub-layer having an increased doping concentration level relative to a remaining portion of the channel layer. The presence of the sub-layer may reduce drain lag without substantially increasing gate lag.

Abstract: An apparatus configured to reduce lag includes a substrate; a group III-Nitride back barrier layer on the substrate; a group III-Nitride channel layer on the group III-Nitride back barrier layer; a group III-Nitride barrier layer on the group III-Nitride channel layer, the group III-Nitride barrier layer include a higher bandgap than a bandgap of the group III-Nitride channel layer; a source electrically coupled to the group III-Nitride barrier layer; a gate on the group III-Nitride barrier layer; a drain electrically coupled to the group III-Nitride barrier layer; and a p-region being arranged at or below the group III-Nitride barrier layer. Additionally, at least a portion of the p-region is arranged vertically below at least one of the following: the source, the gate, an area between the gate and the drain.

Abstract: A transistor device includes a semiconductor layer, a surface dielectric layer on the semiconductor layer, and at least a portion of a gate on the surface dielectric layer. The surface dielectric layer includes an aperture therein that is laterally spaced apart from the gate. The transistor device includes an interlayer dielectric layer on the surface dielectric layer, and a field plate on the interlayer dielectric layer. The field plate is laterally spaced apart from the gate, and at least a portion of the field plate includes a recessed portion above the aperture in the surface dielectric layer.

Abstract: The present application provides a prediction method and a prediction device for food safety risk level and an electronic apparatus. The method includes: classifying food safety risk level based on historical test data for food safety, to obtain historical data for food safety risk level; performing wavelet decomposition on the historical data for food safety risk level based on Daubechies wavelet basis, to obtain a plurality of historical data components for food safety risk level; and inputting the plurality of historical data components for food safety risk level into an LSTM model and predicting a food safety risk level, to obtain a predicted value of the food safety risk level. By the prediction method and the prediction device for food safety risk level and the electronic apparatus according to the present application, the food safety risk level may be effectively predicted.

Abstract: A data linking system is described herein that links data records corresponding to a particular real estate property even if there are inconsistencies in the data records, the physical presence of the real estate property has changed over time, and/or the data records use different terminology. In some cases the data records are matched using a trained machine learning model. The data linking system can optionally generate a visualization of the data record linkage via interactive user interfaces. By linking data records despite the issues described above, the data linking system reduces the number of navigational steps a user performs to obtain data associated with a property and/or reduces data processing times. The disclosed system may be used to generate and maintain a comprehensive database of substantially all properties within a jurisdiction, in which a unique identifier is assigned to each property.

Abstract: A device includes a substrate; a buffer layer on the substrate; a barrier layer on the buffer layer, a source electrically coupled to the barrier layer; a gate electrically coupled to the barrier layer; and a drain electrically coupled to the barrier layer. The device further includes an electron concentration reduction structure arranged with at least one of the following: in the barrier layer and on the barrier layer. The electron concentration reduction structure is configured to at least one of the following: reduce electron concentration around the gate, reduce electron concentration around an edge of the gate, reduce electron concentration, increase power gain, increase efficiency, decouple the gate from the drain, decouple the gate from the source, and reduce capacitance.