Abstract: Embodiments of the present disclosure include systems, methods, and non-transitory computer-readable storage media for automated determination of a patient tumor-immune phenotype from immunofluorescence (IF) image analysis of pathology slides based on a tumor infiltrating lymphocytes score, a non-tumor infiltrating lymphocytes score, and a non-tumor infiltrating lymphocytes at tumor margin score.

Abstract: This disclosure relates to novel SARS-CoV-2 targeting sequences. Novel SARS-CoV-2 targeting oligonucleotides for the treatment of SARS-CoV-2 infection are also provided.

Abstract: A structure of the compound containing a diphenylmethane structure of the present invention is represented by General Formula (1). The compound containing a diphenylmethane structure of the present invention contains a hydroxyl group, an amino group, a substituted amino group, and an active group, and can be used as an amino acid or peptide C-terminal protection reagent. A peptide synthesis reaction using this protection carrier has a fast reaction speed and a high reagent utilization rate in a suitable solvent system; post-treatment is carried out by means of simple liquid-liquid extraction separation, i.e. effective purification can be carried out, and finally, a product with a high purity can be obtained; and during a synthesis process, the change in solubility is small and an operation process has a strong universality, and therefore, the present method can be developed into a universal production method.

Abstract: A speech brain-computer interface neural decoding system based on Chinese language, a method for controlling the speech brain-computer interface neural decoding system, and a method for implementing the speech brain-computer interface neural decoding system are disclosed. The speech brain-computer interface neural decoding system includes an electroencephalography (EEG) data acquisition module, a significance feature screening and verification module, a speech imagery EEG data decoding module, and an understandable speech synthesis module. The speech brain-computer interface neural decoding system integrates EEG data collection, EEG feature extraction, EEG feature screening, EEG signal decoding for reconstructing speech spectrum information and understandable speech synthesis. After obtaining reconstructed spectrogram features, a Pearson correlation analysis may be performed with original spectrogram features, with a correlation generally being ?80%.

Abstract: This disclosure provides compositions, systems, and methods for the delivery of therapeutic oligonucleotides to a tumor. The oligonucleotide is conjugated to a dendron comprising an end group, a phosphate group, and/or a hydrophobic chain.

Abstract: Embodiments of the present disclosure include systems, methods, and non-transitory computer-readable storage media for automated determination of a patient tumor-immune phenotype from immunofluorescence (IF) image analysis of pathology slides based on a tumor infiltrating lymphocytes score, a non-tumor infiltrating lymphocytes score, and a non-tumor infiltrating lymphocytes at tumor margin score.

Abstract: This disclosure provides compositions, systems, and methods for the delivery of therapeutic oligonucleotides to the lung. The oligonucleotide is conjugated to a dendron comprising a hydrophilic end group, a phosphate group, and/or a hydrophobic chain.

Abstract: This disclosure provides compositions, systems, and methods for the delivery of therapeutic oligonucleotides to the skin. The oligonucleotide is conjugated to a dendron comprising a hydrophilic end group, a phosphate group, and/or a hydrophobic chain.

Abstract: A glycoside hydrolase, relating to the technical field of enzyme engineering/gene engineering. Provided are an enzyme of a GH112 glycoside hydrolase family, and an application of synthesizing human milk oligosaccharides (HMOs) by using an enzyme of a GH112 glycoside hydrolase family. A synthesis reaction is catalyzed by using the enzyme of the glycoside hydrolase family 112 (GH112) that is classified according to a Carbohydrate-Active-Enzymes (CAZy) database (http://www.cazy.org); and lacto-N-tetraose (LNT) is generated in an aqueous solution comprising lactose and/or galactose and/or galactose-1-phosphate and lacto-N-triose (LNTII). The enzyme of the glycoside hydrolase family 112 (GH112), and the preparation method therefor and the application thereof provided by the present invention have economic and social values.

Abstract: A video processing method, apparatus, and device and a storage medium are provided. The method includes: monitoring an operation indication inputted by a user through a personal homepage on a social platform, the personal homepage being used for displaying personal information of the user; obtaining, when the operation indication is a shooting indication for shooting a personal status video, the personal status video; uploading the personal status video to a back-end server of the social platform; and displaying indication information of the personal status video in a personal-information display region of the personal homepage.

Abstract: This disclosure provides compositions, systems, and methods for the topical delivery of therapeutic oligonucleotides with microneedle particles.

Abstract: The present application provides a polypeptide having glycoside hydrolase activity, a related nucleic acid product and enzyme product thereof, a preparation method therefor, and use thereof in synthesis of human milk oligosaccharides (HMOS), particularly lacto-N-biose (LNB). The polypeptide having glycoside hydrolase activity of the present application is used as a catalyst, and can efficiently catalyze the reaction of acetylglucosamine or a carbohydrate having an acetylglucosamine group with a glycosyl donor to generate the lacto-N-biose (LNB). Moreover, a process for producing the LNB based on the peptide is simple and convenient to operate and has a significant increase in production efficiency, thus being more suitable for industrial production.

Abstract: A method for identifying a liver in a CT image of a patient is provided. The method includes applying a liver model to the CT image. The method further includes extracting an internal liver region and an external liver region from the CT image based on the applied liver model. The method also includes performing a graph cut algorithm on the CT image based on the internal liver region and the external liver region to produce a liver image. The performing of the graph cut algorithm on the CT image to produce the liver image may be further based on an internal heart and/or kidney region and an external heart and/or kidney region. A non-transitory computer-readable storage medium encoded with a program is provided.

Abstract: This disclosure relates to novel SARS-CoV-2 targeting sequences. Novel SARS-CoV-2 targeting oligonucleotides for the treatment of SARS-CoV-2 infection are also provided.

Abstract: This disclosure relates to novel IFN-? signaling pathway target gene targeting sequences. Novel IFNGR1, JAK1, JAK2, and STAT1 targeting oligonucleotides for the treatment of vitiligo are also provided.

Abstract: Various embodiments of the teachings herein include a method for training a model configured to monitor a working status of equipment based on sensor data. An example method includes: training a model using a training data set including historical sensor data gathered only when the equipment is under normal working conditions; testing the model with sensor data causing a false alarm, sensor data of the equipment's historical confirmed failure, and sensor data within pre-defined recent time period when the equipment is under normal working conditions; and activating the model if the model passes test, otherwise rejecting the model.

Abstract: Residual semi-recurrent neural networks (RSNN) can be configured to receive both time invariant input and time variant input data to generate one or more time series predictions. The time invariant input can be processed by a multilayer perceptron of the RSNN. The output of the multilayer perceptron can be used as an initial state for a recurrent neural network unit of the RSNN. The recurrent neural network unit can also receive time invariant input, and process the time invariant input with the time invariant input to generate an output. The outputs of the multilayer perceptron and the recurrent neural network unit can be combined to generate the one or more time series predictions.

Abstract: Residual semi-recurrent neural networks (RSNN) can be configured to receive both time invariant input and time variant input data to generate one or more time series predictions. The time invariant input can be processed by a multilayer perceptron of the RSNN. The output of the multilayer perceptron can be used as an initial state for a recurrent neural network unit of the RSNN. The recurrent neural network unit can also receive time invariant input, and process the time invariant input with the time invariant input to generate an output. The outputs of the multilayer perceptron and the recurrent neural network unit can be combined to generate the one or more time series predictions.

Abstract: Data processing systems for predicting one or more responses to a chemical substance based on biological images. At least some of the data processing systems include at least one processor configured to execute at least one artificial neural network trained to predict one or more responses to a chemical substance based on biological images. When the at least one processor is executing computer-executable instructions, the at least one processor is configured to carry out operations including processing spatially arranged image tile data through one or more data structures storing one or more portions of executable logic included in the artificial neural network to determine one or more responses of a patient to the chemical substance.

Abstract: A radio frequency coupling structure comprising (1) a substrate that forms a top side of a waveguide, (2) a first conductive layer disposed on a bottom side of the substrate, (3) a second conductive layer incorporated within the substrate, (4) a through via that is communicatively coupled to the first conductive layer and extends through an opening in the second conductive layer toward a top side of the substrate, and/or (5) a ring slot formed around the through via in the first conductive layer. Various other apparatuses, systems, and methods are also disclosed.