Abstract: The invention relates to an electrochemically assisted ion exchange water treatment device comprising a first inlet feeding water into line L0 a prefiltration unit, an electrochemical cell assembly capable of removing ions from a solution stream, the assembly comprising a first unit comprising at least two electrochemical cells connected in parallel with each other, and a second unit connected in series to the first unit; a second inlet for feeding water into line FL during regeneration state, wherein FL feeds water into the first and second units through lines FL12 and FL3 respectively; wherein line FL12 further branches into two lines to feed water into both cells of the first unit; a wastewater line WL and an outlet for discarding wastewater from the cells; a carbon filtration unit positioned downstream of the assembly; an outlet for dispensing treated water.

Abstract: A display substrate is provided. The display substrate includes a plurality of functional material layers extending at least partially across multiple subpixels. The plurality of functional material layers include a first portion in an inter-subpixel region, and a second portion in subpixel regions. The first portion includes a doped impurity. The first portion and the second portion include at least one functional material in common. A weight percentage of the doped impurity in the first portion is higher than a weight percentage of the doped impurity in the second portion. The first portion spaces apart adjacent subpixels. The second portion includes a light emitting layer of a respective subpixel.

Abstract: The present disclosure discloses a robot system and method for monitoring farmland nitrogen leaching. The robot system includes a cloud platform, a monitoring robot, and a leachate collection module. The cloud platform is configured to send information about a to-be-measured site and a to-be-measured depth to the monitoring robot and receive measurement information of the monitoring robot; and the monitoring robot is configured to move to the to-be-measured site to be connected to the leachate collection module at the to-be-measured depth of the to-be-measured site, extract a leachate of the leachate collection module, perform leachate nitrogen detection on the leachate, and send a leachate nitrogen detection result to the cloud platform.

Abstract: The present disclosure provides a ray detector, a method for manufacturing a ray detector, and an electronic device. The method includes: forming a buffer layer on a first surface of a substrate, wherein the first surface of the substrate includes a first region and a second region; forming a shared layer on a surface of the buffer layer distal to the substrate; processing a portion of the shared layer in the first region to obtain an active layer of a thin film transistor; and processing a portion of the shared layer in the second region to obtain an absorption layer of a photodiode.

Abstract: A POI recommendation method and system based on brain-inspired spatiotemporal perceptual representation is provided. The method includes: constructing a POI context graph structure based on a POI check-in dataset; sampling a check-in sequence context graph, and training a POI check-in sequence embedding model in a brain-inspired spatiotemporal perceptual embedding model by unsupervised learning; sampling a spatial context graph and a spatiotemporal context graph to train a spatiotemporal embedding model in a brain-inspired spatiotemporal perceptual embedding model; combining a POI sequence representation vector and a POI spatiotemporal union representation vector into a POI spatiotemporal perceptual representation vector; training a recurrent neural network recommender based on the POI spatiotemporal perceptual representation vector; and recommending a next POI through the trained recurrent neural network recommender.

Abstract: A continuous process for preparing exo-THDCPD by isomerization of endo-THDCPD includes the step of passing endo-THDCPD and hydrogen gas successively through a first reaction zone filled with a hydrogenation protectant and a second reaction zone filled with an isomerization catalyst to perform a hydroisomerization reaction so as to obtain exo-THDCPD, wherein the hydrogenation protectant is a supported metal hydrogenation catalyst, and the isomerization catalyst is a metal-modified molecular sieve catalyst. The process converts endo-THDCPD to exo-THDCPD, with a conversion of greater than 86% and a target product selectivity of greater than 94%.

Abstract: A method, apparatus, device, and medium for image processing is provided. The method includes generating, using an image generation process, a first set of synthetic images based on a first set of codes associated with the first image class in a codebook and based on a first class feature associated with a first image class; generating, using a feature extraction process, a first set of reference features based on the first set of synthetic images and generating a first set of target features based on a plurality of sets of training images belonging to the first image class in a training image set; and updating the image generation process and the codebook according to at least a first training objective to reduce a difference between each reference feature in the first set of reference features and a corresponding target feature in the first set of target features.

Abstract: A method may include acquiring NMR data and sonic data for a borehole in a subsurface geologic region; inverting the NMR data and the sonic data to determine volume fractions for a number of classes of pore types, where the classes include shape and size-based classes; and characterizing the subsurface geologic region based on the volume fractions for the number of classes.

Abstract: Embodiments of the present disclosure provide a solution for multimodal data processing. A method comprises: obtaining image data and text data; and extracting a target visual feature of image data and a target textual feature of text data using a feature extraction model. The feature extraction model comprises alternatively deployed cross-modal encoding parts and visual encoding parts. The extracting comprises: performing, using a first cross-modal encoding part of the feature extraction model, cross-modal feature encoding on a first intermediate visual feature of the image data and a first intermediate textual feature of the text data, to obtain a second intermediate visual feature and a second intermediate textual feature; performing, using a first visual encoding part of the feature extraction model, visual modal feature encoding on the second intermediate visual feature, to obtain a third intermediate visual feature.

Abstract: Systems and methods are provided for excitation spectral microscopy using frame-synchronized acousto-optic scanning of fluorescent excitation wavelengths. Linear unmixing of the images of targets of components that are individually labeled with different fluorophores can be simultaneously imaged with high temporal resolution and low crosstalk and the local abundance of each fluorophore at each pixel can be quantified. Fluorophore decomposed micrographs of the sample can be obtained by rendering the abundance in each pixel as an image.

Abstract: The present invention relates to the technical field of model establishment, and provides a dimethylarsinous acid-induced malignantly transformed cell line of human keratinocytes and application thereof. In the present invention, human keratinocytes are persistently exposed to and incubated with a low dose of dimethylarsinous acid, to construct an inorganic arsenic metabolite dimethylarsinous acid (DMAIII)-induced malignantly transformed cell model of human keratinocytes. The malignantly transformed cell model of the present invention promotes the identification of carcinogenicity of arsenic methylated metabolites, and indicates that long-term exposure to low-dose arsenic metabolite dimethylarsinous acid (DMAIII) causes malignant transformation of skin cells, thus providing a new cell model basis and new research idea for the study of carcinogenic mechanism of arsenic.

Abstract: A PPG sensor, an electronic device, and a wearable device are provided. The PPG sensor includes: a first light-emitting unit, configured to emit a first optical signal; a second light-emitting unit, configured to at least emit another first optical signal; and a plurality of photoelectric sensors, wherein the first light-emitting unit and M photoelectric sensors of the plurality of photoelectric sensors form a first measurement channel, the M photoelectric sensors are connected in parallel, and a first photocurrent signal is obtained based on the first measurement channel; the second light-emitting unit and N photoelectric sensors of the plurality of photoelectric sensors form a second measurement channel, the N photoelectric sensors are connected in parallel, and a second photocurrent signal is obtained based on the second measurement channel; wherein N is greater than M, and both M and N are natural numbers.

Abstract: The present disclosure discloses a PPG sensor, an electronic device and a wearable device. The PPG sensor includes a first light-emitting assembly configured to emit a first optical signal; a second light-emitting assembly configured to emit a second optical signal; and a plurality of photoelectric sensors configured to receive the first optical signal and the second optical signal. A distance between the first light-emitting assembly and at least one of the plurality of photoelectric sensors is greater than a minimum one of the distances between the second light-emitting assembly and each of the plurality of photoelectric sensors.

Abstract: A method of consolidating a subterranean formation which comprises particles is provided. The method includes selecting a subterranean formation in need of consolidation, contacting the particles with a cationic polymer and then an anionic or non-ionic polymer, thereby agglomerating the particles and consolidating the formation, wherein the agglomeration increases the uniformity of the size of the particles. Methods of producing hydrocarbon wherein the formation is consolidated by the method herein described are also provided. Use of kits comprising cationic polymer and anionic polymer and/or non-ionic polymer to consolidate subterranean formations is further provided. Kits comprising the polymers used in the method are also provided.

Abstract: The present invention relates to the technical field of model establishment, and provides a dimethylmonothioarsinic acid-induced malignantly transformed cell line of human keratinocytes and use thereof. In the present invention, human keratinocytes are persistently exposed to and incubated with dimethylmonothioarsinic acid, to construct an inorganic arsenic metabolite dimethylmonothioarsinic acid (DMMTAv)-induced malignantly transformed cell model of human keratinocytes. The malignantly transformed cell model of the present invention promotes the identification of carcinogenicity of arsenic methylated metabolites, and indicates that long-term exposure to low-dose arsenic metabolite dimethylmonothioarsinic acid (DMMTAv) causes malignant transformation of skin cells, thus providing a new cell model basis and new research idea for the study of carcinogenic mechanism of arsenic.

Abstract: The present disclosure provides a human-machine interactive method based on artificial intelligence and a human-machine interactive device based on artificial intelligence. The method includes: receiving a query from a user; processing the query based on a pre-generated model, and obtaining an answer with a human conversation style corresponding to the query, wherein the model is generated based on a human conversation corpus; and feeding back the answer to the user.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for predicting gaze and awareness using a neural network model. One of the methods includes obtaining sensor data (i) that is captured by one or more sensors of an autonomous vehicle and (ii) that characterizes an agent that is in a vicinity of the autonomous vehicle in an environment at a current time point. The sensor data is processed using a gaze prediction neural network to generate a gaze prediction that predicts a gaze of the agent at the current time point. The gaze prediction neural network includes an embedding subnetwork that is configured to process the sensor data to generate an embedding characterizing the agent, and a gaze subnetwork that is configured to process the embedding to generate the gaze prediction.

Abstract: A method for predicting a drawn point of a stylus includes obtaining a plurality of reported points of a stylus, determining a reported point prediction model based on the reported points, performing prediction using the reported point prediction model to obtain at least one predicted point, and drawing the at least one predicted point and displaying the drawn predicted point.

Abstract: The present disclosure provides an STM32-based automatic control system for a broadcast transmitter, including an STM32 microcontroller, a host computer, a drive unit, a touch screen unit, a local network server unit, an image acquisition unit and a sampling unit, wherein the STM32 microcontroller is connected to the host computer. An output interface of the STM32 microcontroller is connected to the drive unit, wherein the touch screen unit is configured to display acquired information that is processed, and receive a control instruction of a touch operation. The local network server unit is configured to achieve remote network display of transmitter information and remote network control, the image acquisition unit is configured to timely acquire an image in a cabinet of the transmitter such that a maintainer can conduct remote observation, and the sampling unit is configured to control the drive unit to achieve automatic control of the transmitter.

Abstract: The present disclosure provides an STM32-based automatic control system for a broadcast transmitter, including an STM32 microcontroller, a host computer, a drive unit, a touch screen unit, a local network server unit, an image acquisition unit and a sampling unit, wherein the STM32 microcontroller is connected to the host computer. An output interface of the STM32 microcontroller is connected to the drive unit, wherein the touch screen unit is configured to display acquired information that is processed, and receive a control instruction of a touch operation. The local network server unit is configured to achieve remote network display of transmitter information and remote network control, the image acquisition unit is configured to timely acquire an image in a cabinet of the transmitter such that a maintainer can conduct remote observation, and the sampling unit is configured to control the drive unit to achieve automatic control of the transmitter.