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: 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 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.

Abstract: Video methods and systems include extracting features of a first modality and a second modality from a labeled first training dataset in a first domain and an unlabeled second training dataset in a second domain. A video analysis model is trained using contrastive learning on the extracted features, including optimization of a loss function that includes a cross-domain regularization part and a cross-modality regularization part.

Abstract: Video methods and systems include extracting features of a first modality and a second modality from a labeled first training dataset in a first domain and an unlabeled second training dataset in a second domain. A video analysis model is trained using contrastive learning on the extracted features, including optimization of a loss function that includes a cross-domain regularization part and a cross-modality regularization part.

Abstract: Video methods and systems include extracting features of a first modality and a second modality from a labeled first training dataset in a first domain and an unlabeled second training dataset in a second domain. A video analysis model is trained using contrastive learning on the extracted features, including optimization of a loss function that includes a cross-domain regularization part and a cross-modality regularization part.

Abstract: Disclosed is an operational amplifier, including: a loading input transistor pair; a differential input transistor pair, which is connected with the loading input transistor pair, has a non-inverting input terminal receiving a non-inverting input signal, and has an inverting input terminal receiving an inverting input signal; a controller unit, generating a first control signal according to the non-inverting input signal and a second control signal according to the inverting input signal; a regulator unit, connected between the differential input transistor pair and ground, controlled by the first control signal and the second control signal, and select an on/off state of the regulator unit itself according to a voltage difference between the non-inverting and inverting input signals, which is withstood by a MOS transistor with high withstand voltage, thus allowing a source-drain voltage of the input transistor pair to be within a voltage range accepted by process.

Abstract: Coating compositions for porous substrates, and/or related methods including methods of manufacture and/or of use thereof are disclosed. Also, coating compositions for porous substrates, where the coating comprises at least a polymeric binder and heat-resistant particles with or without additional additives, materials or components are disclosed.

Abstract: Disclosed is a bandwidth adjustment circuit and a bandwidth adjustment method of an operational amplifier. The circuit comprises: a bias current generation unit connected with a bias current input terminal of the operational amplifier and used for providing a bias current to the operational amplifier; a current adjustment unit, connected with the bias current generation unit and an output terminal of the operational amplifier, respectively, and used for adjusting the bias current according to an output voltage of the operational amplifier to realize bandwidth adjustment on the operational amplifier. The bandwidth adjustment circuit and the bandwidth adjustment method can dynamically adjust the bandwidth of the operational amplifier according to the output voltage, not only improving stability when the output voltage of the operational amplifier is low, but also ensuring excellent performance of the operational amplifier when the output voltage is high.

Abstract: In an approach for using an open source of existing text labeling models to label sentences that need to be clustered with multiple external tags and then to use the tags as auxiliary information to perform the clustering at a dual level, a processor receives a set of text, wherein the set of text contains one or more sentences. A processor tags each sentence of the set of text with one or more tags using a plurality of open-source text classification models. A processor performs a preliminary clustering of one or more nodes under strict conditions using a canopy clustering algorithm.

Abstract: A robotic arm control method, a robot and it's controller are provided, the method includes: receiving an instruction to identify a target object to be operated; responsive to that the fixed portion is beyond a first location area, controlling the robot to move, until a fixed portion of a first mechanical arm of the robot is within the first location area; responsive to that the fixed portion is within the first location area, receiving a control instruction for operating the target object, invoking trajectory parameters of an end effector of the first mechanical arm relative to the target object, and obtaining a target posture of the end effector relative to the target object; controlling the end effector to reach and operate the target object directly or through a tool according to the trajectory parameters and the target posture.

Abstract: Training data models using machine learning can include training a computer data model of data distribution using a training data set. The training data set includes training data and additional training data, and the training data and the additional training data being represented by layers of data representing the data distribution of the training data set. The computer data model using the additional training data is iteratively trained for each of the layers of the training data set. Statistical noise is added randomly to each of the layers of the training data set. Data variations are detected in each of the layers of the additional training data. The data variations are diluted in each of the additional layers of the training data, and the computer data model is retrained for the training data set using the diluted data variations in each of the layers of the additional training data.

Abstract: A computer-implemented process for modifying a training dataset includes the following operations. The training dataset is benchmarked using a State Of The Art (SOTA) neural network to determine a benchmark for the training dataset. The training set is divided into a plurality of slices. A sequence of a plurality of atomic operations are selected using a selection strategy generator operating on one of the plurality of slices. The sequence of the plurality of atomic operations is applied to modify the one of the plurality of slices to generate a revised one of the plurality of slices. Reverse reinforcement learning is performed on the revised one of the plurality of slices using the benchmark and the SOTA neural network. The training dataset is modified by replacing the one of the plurality of slices with the revised one of the plurality of slices to generate a modified training dataset.

Abstract: Embodiments of the present invention provide a computer-implemented system and method for generating and searching a database containing all of the potential substructures (e.g., metabolites) of a chosen complex molecule based on minimum cleavable units (MCUs) of the chosen complex molecule, wherein each record in the generated database suitably defines the molecular weight and physical arrangement of each substructure. Embodiments of the invention also provide a user interface and a search engine for searching the database based on a query molecular weight (or query molecular weight range) to identify all of the substructures having a total molecular weight matching the query molecular weight or range. Embodiments of the invention are also capable of transmitting to a display device operated by an end user a description and/or a graphical representation of every identified substructure of the chosen complex molecule.

Abstract: This invention relates to berberine alkaloids, formulations thereof and their use for the prevention and/or treatment of infectious disease, especially disease caused by C. perfringens and Eimeria in animals. The invention also relates to improving the feed conversion ratio in a food producing animal by administering berberine compositions.