Abstract: Provided are a bovine rotavirus fusion protein and calf diarrhea multivalent vaccine. The bovine rotavirus fusion protein contains a VP6 fragment, wherein the VP6 fragment contains an amino acid sequence as represented by SEQ ID NO. 4, and at least one loop region of the following (a)˜(c) is substituted with an antigenic epitope derived from bovine coronavirus and/or an antigenic epitope derived from E. coli: (a) amino acid residues of sites 168-177; with an amino acid sequence as represented by SEQ ID NO. 1; (b) amino acid residues of sites 194-205; with an amino acid sequence as represented by SEQ ID NO. 2; and (a) amino acid residues of sites 296-316, with an amino acid sequence as represented by SEQ ID NO. 3, The bovine rotavirus fusion protein contains a plurality of antigenic epitopes, and can enable a host to generate a plurality of antibodies after immunizing the host.

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 application provides a circuit material and a circuit board containing the same. The circuit material comprises a conductive metal layer and a dielectric substrate layer, and an adhesive layer arranged therebetween, wherein the adhesive layer is made of a material which comprises an adhesive composition comprising a resin component and a non-resin component, wherein the resin component is composed of unsaturated polyphenylene ether resin, SBS resin and maleimide resin; and the non-resin component comprises an initiator; and the adhesive layer is obtained by applying the adhesive composition dissolved in a solvent onto the surface of the conductive metal layer or the dielectric substrate layer in the form of a solution, or by applying to a release material and removing the release material after partially curing or completely curing.

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.

Abstract: A method for planning and drilling a well includes receiving geomechanical and geological data for a subterranean domain, and receiving an initial well trajectory including a well path and survey points. The method includes conducting a wellbore stability analysis along the well trajectory based in part on the geomechanical and geological data. Conducting the wellbore stability analysis includes identifying a subset of the well path intervals along the well trajectory as having a risk for instability. The method includes calculating a geomechanics nudge for one or more survey points along the well trajectory. The geomechanics nudge is calculated as a derivative of the wellbore stability at the one or more survey points. The method includes modifying the one or more survey points and the one or more well path intervals connected thereto based in part on the geomechanics nudge to generate a modified well trajectory.

Abstract: An object recognition method, implemented by a terminal device, includes recognizing a first target object in a first frame of image, recognizing a second target object in a second frame of image adjacent to the first frame of image, and if a similarity between the first target object and the second target object is greater than a preset similarity, and a moving speed is less than a preset speed, determining that the first target object and the second target object are a same object.

Abstract: Disclosed is a railway hopper car comprising a car body (6), a top cover (1, 2), a bogie (24), a braking device (21), a coupler buffer device (22), and a bottom door (25, 28) and a bottom door opening and closing mechanism (23) mounted at a discharge port at the bottom of a chassis. The railway hopper car further comprises a longitudinal saddle (31) disposed in the center of the car body (6) in the length direction thereof and arranged along the longitudinal direction of the car body (6). By providing the longitudinal saddle (31), the sequential requirement to close the left bottom door (25) and the right bottom door (28) is eliminated, thereby simplifying the structure of the linkage bottom door opening and closing mechanism and reducing manufacture and maintenance costs thereof.

Abstract: A server computing device, including memory storing a knowledge graph. The server computing device may further include a processor configured to receive a natural language input and generate a tokenized utterance based on the natural language input. Based on the tokenized utterance, the processor may select a predefined intention indicating a target ontology entity type of the natural language input. The processor may identify at least one input ontology entity token included in the tokenized utterance and may identify at least one relation between the predefined intention and the input ontology entity token. Based on the predefined intention, the at least one input ontology entity token, and the relation, the processor may generate a structured query. Based on the structured query and the knowledge graph, the processor may output an output ontology entity token having the target ontology entity type.

Abstract: A server computing device, including memory storing a knowledge graph including a plurality of ontology entities connected by a plurality of edges. The server computing device may further include a processor configured to generate a glossary file based on the knowledge graph. The glossary file may include a plurality of ontology entities included in the knowledge graph. The processor may receive a plurality of utterance templates. Each utterance template may include an utterance and a predefined intention. For each utterance template, the processor may generate one or more utterance template copies in which one or more ontology entities included in the utterance are replaced with one or more utterance template fields. The processor may generate a plurality of training utterances at least in part by filling the one or more utterance template fields of the one or more utterance template copies with respective ontology entities included in the glossary file.

Abstract: A server computing device, including memory storing a knowledge graph including a plurality of ontology entities. The server computing device may further include a processor configured to receive a tokenized utterance including a plurality of words and one or more metadata tokens. The processor may extract a respective word embedding vector from each word included in the tokenized utterance. Based on a glossary file, the processor may determine a respective ontology entity type of each word included in the tokenized utterance. The processor may extract a character embedding vector from each character included in the tokenized utterance. Based on the plurality of word embedding vectors, the plurality of respective ontology entity types of the words, and the plurality of character embedding vectors, the processor may determine a predefined intention of the tokenized utterance using at least one recurrent neural network. The predefined intention may indicate a target ontology entity type.

Abstract: A computer-implemented method is disclosed that operates in conjunction with machine learning binary classification of an event. The method generates a rule relating to whether or not the event will occur. In one embodiment, the method includes obtaining foreground sequences corresponding to the event happening and background sequences corresponding to the event not happening. For each foreground sequence of a number of foreground sequences, the computer computes a plurality of difference values. The rule may be determined based on a largest difference value for one of the plurality of foreground sequences. A corresponding system is also disclosed.