Abstract: Provided are a viral vector-based RNA delivery system and a use thereof. The RNA delivery system comprises a viral vector. The viral vector carries an RNA fragment needing to be delivered, and can be enriched in organ tissues of a host. In the host organ tissues, the viral vector can endogenously and spontaneously form a composite structure containing the RNA fragment. The composite structure can enter and bind to target tissues, and feed the RNA fragment into the target tissues. The viral vector has a targeting tag. The composite structure is an exosome. The viral vector RNA delivery system is safe and reliable, and has good druggability and high universality.

Abstract: An RNA delivery system for the treatment of Huntington's disease. The system comprises a viral vector, the viral vector carries RNA fragments capable of treating Huntington's disease, the viral vector is capable of enrichment in organ tissues of a host and endogenously and spontaneously forming a complex containing the RNA fragments capable of treating Huntington's disease in the organ tissues of the host, and the complex can deliver the RNA fragments into a target tissue to treat Huntington's disease. The safety and reliability of the RNA delivery system for the treatment of Huntington's disease have been fully verified. The system has good medicinal properties, strong versatility, and has economic benefits and application prospects.

Abstract: A method, computer program product, and computer system for generating and using a basic state layer. N task models are provided (N?2). Each task model was trained on a same pre-trained backbone model. Each task model includes M feature layers and a task layer (M?1). Each feature layer of each task model includes a parameter matrix that is different for the different models. An encoder-decoder model is trained. The encoder-decoder model includes sequentially: an input layer, an encoder, M hidden layers, a decoder, and an output layer. The encoder is a neural network that maps and compresses the parameter matrices in the input layer into the M hidden layers, which generates a basic state model. The decoder is a neural network that receives the basic state model as input and generates the output layer to be identical to the input layer.

Abstract: A heat-resistant sticky coating for use on a membrane or lithium ion battery separator is disclosed. The coating has at least improved dry adhesion to an electrode for a lithium ion battery. The coating includes heat-resistant particles with a water-soluble sticky polymer on their surface. The water-soluble sticky polymer may be a polyethylene oxide (PEO). The coating may also include particles of water-insoluble sticky polymer. The water-insoluble sticky polymer may be a polyvinylidene fluoride (PVDF) homopolymer, copolymer, or terpolymer. The water-insoluble sticky polymer may be in the same layer of the coating as the heat-resistant particles with the water-soluble sticky polymer on their surface, or it may be in a different layer. A method for forming the heat-resistant sticky coating is also disclosed.

Abstract: A computerized simulation validating method for a full-scale distribution network single phase-to-ground fault test is implemented by simulating a full-scale test system with external quantities being controlled to be conformant and validating the full-scale distribution network single phase-to-ground fault test based on a conformance check result between the internal quantities of the field testing and the internal quantities of the simulation testing. The simulation validating method for a full-scale distribution network single phase-to-ground fault test improves normalization and conformance of the full-scale distribution network ground fault test. The computerized simulation validating system, apparatus, and medium for a full-scale distribution network single phase-to-ground fault test also achieve the benefits noted above.

Abstract: The present invention discloses a multi-energy complementary system for a co-associated abandoned mine and a use method. The multi-energy complementary system for a co-associated abandoned mine includes a mining mechanism, a grouting mechanism and an energy mechanism. In the present invention, the mining of coal and uranium resources is realized through the mining mechanism, the subsidence and seepage reduction of the stratum is realized through the grouting mechanism, and the effective utilization of waste resources is realized through the energy mechanism. Finally, with the efficient cooperation of the three mechanisms, safe and efficient development and utilization of co-associated resources in the full life cycle are realized, and the purposes of green and efficient mining of coal and uranium resources and secondary development of a coal seam goaf are achieved, thereby facilitating the realization of dual-carbon goals and the development of low-carbon green energy.

Abstract: The disclosure provides a display substrate, a manufacturing method thereof and a display device. The display substrate has a plurality of subpixel regions. The display substrate includes a base substrate and a pixel definition layer on the base substrate. The pixel definition layer defines a plurality of subpixel openings and each of the subpixel openings occupies one subpixel region. The display substrate further includes a functional medium layer on a side of the pixel definition layer away from the base substrate. The functional medium layer includes a first portion covering side surfaces of the subpixel opening and a second portion covering a top surface of the pixel definition layer. In the same subpixel region, surface energy of the first portion is greater than surface energy of the second portion.

Abstract: Provided are a data processing system and method based on dynamic redundancy heterogeneous encoding, and a device. The method comprises: respectively performing error correction encoding on information to be processed and a processing rule, so as to form encoded information to be processed and an encoded processing rule; processing, by using the encoded processing rule, the encoded information to be processed, so as to obtain response data; and then performing error correction decoding on N pieces of response data, so as to obtain processing result information of the information to be processed.

Abstract: An intelligent experimental device for collaborative mining of associated resources includes a signal transmission mechanism, a pressure maintaining mechanism, a feeding mechanism, and a reaction mechanism. The signal transmission mechanism includes a centralized controller, an annunciator, signal receivers, a power supply, a power cord, signal transmitters, and signal sensing valves. The pressure maintaining mechanism includes ambient and axial pressure oil chambers, ambient and axial pressure pumps, ambient and axial pressure liquid distribution tanks, a comprehensive pressure distribution pipe, and hydraulic transmission pipes. The feeding mechanism includes monitoring analyzers, temperature controllers, solution transfer pipes, seepage pumps, mixture conveying pipes, a comprehensive liquid distributor, an aggregate chamber, a liquid chamber, an oil chamber, a gas chamber, a mixing chamber and an analytical purifier.

Abstract: Linker-drug compounds and antibody-drug conjugates that bind to human oncology targets are disclosed. The linker-drug compounds and antibody-drug conjugates comprise a splicing modulator drug moiety. The disclosure further relates to methods and compositions for use in the treatment of neoplastic disorders by administering the antibody-drug conjugates provided herein. In an embodiment, the splicing modulator comprises a pladienolide or a pladienolide derivative.

Abstract: A method for improving face recognition from unseen domains by learning semantically meaningful representations is presented. The method includes obtaining face images with associated identities from a plurality of datasets, randomly selecting two datasets of the plurality of datasets to train a model, sampling batch face images and their corresponding labels, sampling triplet samples including one anchor face image, a sample face image from a same identity, and a sample face image from a different identity than that of the one anchor face image, performing a forward pass by using the samples of the selected two datasets, finding representations of the face images by using a backbone convolutional neural network (CNN), generating covariances from the representations of the face images and the backbone CNN, the covariances made in different spaces by using positive pairs and negative pairs, and employing the covariances to compute a cross-domain similarity loss function.

Abstract: New and/or improved coatings, layers or treatments for porous substrates, including battery separators or separator membranes, and/or coated or treated porous substrates, including coated battery separators, and/or batteries or cells including such coatings or coated separators, and/or related methods including methods of manufacture and/or of use thereof are disclosed. Also, new or improved coatings for porous substrates, including battery separators, which comprise at least a matrix material or a polymeric binder, and heat-resistant particles with additional additives, materials or components, and/or to new or improved coated or treated porous substrates, including battery separators, where the coating comprises at least a matrix material or a polymeric binder, and heat-resistant particles with additional additives, materials or components are disclosed.

Abstract: Provided are a computer program product, system, and method for training and using a vector encoder to determine vectors for sub-images of text in an image to subject to optical character recognition. A vector encoder is trained to encode images representing text into vectors in a vector space. Vectors of images representing similar text have a high degree of cohesion in the vector space. Vectors of images representing dissimilar text have a low degree of cohesion in the vector space. An input image is processed to determine sub-images of the input image that bound text represented in the input image. The sub-images are inputted to the vector encoder to output sub-image vectors. The vector encoder generates a search vector for search text. Optical character recognition is applied to at least one region of the input image including the sub-images having sub-image vectors matching the search vector.

Abstract: A method for evaluating a risk of a subject getting a specific disease includes steps of: storing a reference database that contains original parameter sets; selecting target alleles from an SNP profile derived from genome sequencing data of a subject; selecting target parameter sets from among the original parameter sets; calculating, for each of the target parameter sets, a race factor based on a global risk allele frequency and a group-specific risk allele frequency included in the target parameter set; calculating a genetic factor based on statistics, global reference allele frequencies, the race factors for the target parameter sets, and numbers of chromosomes in homologous chromosome pairs included in the target parameter sets; calculating a citation factor based on numbers of citation times included in the target parameter sets; and calculating a risk score based on the genetic factor and the citation factor.

Abstract: A compound of Formula (I), or a pharmaceutically acceptable salt thereof, is provided that has been shown to be useful for treating a PRC2-mediated disease or disorder: wherein R1, R2, R3, R4, R5, and n are as defined herein.

Abstract: A switching converter and a low-voltage startup circuit is provided. The low-voltage startup circuit includes a comparator and a substrate voltage control module. The comparator performs a comparison between an input voltage and a reference voltage and obtain a voltage detection signal according to a result of the comparison. The substrate voltage control module adjusts a substrate voltage of a main switching transistor according to the voltage detection signal, wherein when the voltage detection signal indicates that the input voltage is lower than/equal to the reference voltage, the substrate voltage control module increases the substrate voltage of the main switching transistor, and then a turn-on threshold voltage of the main switching transistor can be reduced, so that the main switching transistor may be normally turned on when the input voltage is low, and the low-voltage startup capability of the switching converter is improved.

Abstract: A computer-implemented method, system and computer program product for detecting Unicode injection in text. A language model is trained to determine if text data (e.g., text fragment) conforms with human writing habits using negative and positive samples. Negative samples include samples of text that are not classified as being suspect for containing Unicode characters. Such negative samples include text written by humans. Positive samples include samples of text that are to be classified as being suspect for containing Unicode characters. Such positive samples may be formed by randomly inserting Unicode characters into the corpus of negative samples. After training the language model, the language model is able to determine whether the received text data (e.g., text fragment) is suspect for containing Unicode characters based on whether the text data conforms with human writing habits.

Abstract: The present invention discloses a walking aid with a small folded size, comprising inverted left and right U-shaped tubes. Left and right connecting pieces are hinged to front sides of the left and right U-shaped tubes respectively; the left connecting piece is connected with the right connecting piece through a connecting tube; first elastic sheets are mounted on an inner side of a front part of the left U-shaped tube and the right U-shaped tube as well, and each is provided with a first positioning column; limiting grooves, corresponding to the first positioning columns, are formed in outer sides of the left and right connecting pieces; and fixing sleeves are mounted on the front sides of the left and right U-shaped tubes respectively through rivets. The present invention is convenient to fold and stretch, good in use effect, very small in packaging size and saving in logistics cost.

Abstract: Disclosed are a switching converter and an oscillator thereof. The oscillator includes a charging current generating circuit and a clock signal generator circuit, which is used for generating a clock signal according to a charging current provided by the charging current generating circuit. The charging current generating circuit includes a variable resistor and a current limiting module. The current limiting module is used for limiting a current value of the charging current to a preset current value when the variable resistor is shorted or opened, thus avoiding drastic change of a switching frequency of the circuit when the external variable resistor is shorted or opened, so as to improve system stability.

Abstract: A set of sensor information may include first sensor information generated based on a first sensor of a first vehicle and second sensor information generated based on a second sensor of a second vehicle. Individual sensor information may characterize positions of objects in an environment of individual sensors. Relevant sensor information for a vehicle may be determined based on the set of sensor information and a position of the vehicle. The relevant sensor information may characterize positions of objects in a maneuver environment of the vehicle. A desired navigation of the vehicle in the maneuver environment of the vehicle may be determined based on the relevant sensor information. An instruction may be provided to the vehicle based on the desired navigation of the vehicle. The instruction may characterize one or more maneuvers to be performed by the vehicle to execute the desired navigation.