Abstract: Broadly applicable and stereoselective formation of glycosidic linkage remains challenging yet of critical importance in giycoscience. By developing an SN2 glycosylation, this work advances a general solution to this challenge via stereoinversion at the anomeric position of glycosyl ester donors. This SN2 process is enabled by a basic directing-group in the leaving-group, which is activated by a cationic gold catalyst or any other electrophilic reagent. Unlike all the reported directing group approaches, this strategy is applicable to any glycosyl donors—a long sought-after yet unmet goal in carbohydrate chemistry; moreover, the basic directing-group upon glycosylation is lost as part of the leaving-group and hence traceless in the glycoside products, therefore avoiding potential complications in downstream transformations. Highly selective construction of glycosidic bonds including challenging 1,2-cis glycosidic bonds is achieved in excellent yields.

Abstract: A method for comprehensively analyzing and/or evaluating cigarette burning quality index is disclosed. The steps include collecting cigarette burning quality index data, filtering the cigarette burning quality index data, standardizing cigarette data, and measuring cigarette burning quality. The importance of the cigarette burning quality indicators can also be evaluated. The method for comprehensively analyzing and/or evaluating cigarette burning quality indicators can reflect general laws more accurately by maintaining the sample distribution through a singularity detection method, and analyzing correlations of each index with cigarette performance from multiple perspectives, to fuse them into a comprehensive measurement value. The importance ranking and weight of indicators can be obtained more completely and stably.

Abstract: The present invention belongs to the field of medicinal chemistry and relates to a class of substituted tricyclic compounds as PRMT5 inhibitors and the use thereof. Specifically, the present invention provides a compound represented by formula (A) or an isomer, pharmaceutically acceptable salt, solvate, crystal or prodrug thereof, a preparation method therefor, a pharmaceutical composition containing the compounds, and the use of the compounds or the composition for treating a disease mediated by PRMT5. The compounds of the present invention show significant inhibitory activity on PRMT5.

Abstract: An inter prediction method and apparatus, and a corresponding encoder and decoder are disclosed. The method includes: obtaining an index value of a length of a motion vector difference of the current picture block; determining target length information from a set of candidate length information based on the index value of the length; obtaining the motion vector difference of the current picture block based on the target length information; determining the motion vector target value of the current picture block based on the motion vector difference of the current picture block and the motion vector predictor of the current picture block; and obtaining a prediction block of the current picture block based on the motion vector target value of the current picture block.

Abstract: Systems, devices, and methods are discussed for limiting exposure of internal network operations beyond the boundary of a secure network.

Abstract: A temporal-aware or permutation-dependent Graph Neural Network (GNN) is disclosed. The example GNN is implemented by combining temporal-awareness with multi-layer neighborhood aggregation to further provide the GNN with inductive capabilities with respect to generating embeddings of a dynamic graph, all without creating multiple time snapshots of the graph. By using a temporal-aware message pass scheme involving a temporal-aware and permutation-dependent GNN, a set of temporal-aware local neighborhood aggregator functions may be effective trained and used for generating embeddings for unknow nodes and for providing more accurate embeddings for subsequent prediction tasks.

Abstract: A device for simulating carbon dioxide storage in a deep saline aquifer, including a CO2 gas source, first and second valves, first and second pressure pumps, first, second and third pressure gauges, a water storage tank, a simulation box, a first flow meter, a gas-liquid separator, a recycling tank, a microcomputer-display assembly, a structure plate, core holders, an injection pipeline, a connection pipeline, a baffle, a piezometer, a second flow meter, a heater, a lifter and an acoustic logging tool. The CO2 gas source, the first valve, the first pressure pump and the first pressure gauge for gas injection. The water storage tank, a second pressure pump and a second pressure gauge for water injection. The second valve, the third pressure gauge, the first flow meter, the gas-liquid separator and the recycling tank form an output pipeline.

Abstract: The present disclosure provides a target object tracking method. In this disclosure, the point cloud data sequence in the target scene is collected by lidars and the first frame of cloud point data is extracted; the bounding box of the target object in the first frame of cloud point data is determined using the preset three-dimensional target tracking algorithm. All the target point clouds in the bounding box are extracted to generate the first template point cloud. The template expansion processing is performed using the preset ATG algorithm to obtain the second template point cloud. The point cloud features in the search area of other frames of point cloud data are extracted, and are compared with the second template point cloud and the reference template point cloud to obtain the comparison result. Based on the comparison result, the tracking result of the target object is generated and displayed.

Abstract: A method for testing burning performance of a dark-colored cigarette using a dark-colored cigarette paper is provided. The dark-colored cigarette paper has a grayscale less than 255. The method includes: simulating, by a robotic arm, a cigarette smoking process and environment; acquiring, by a full-vision camera system, an image of a burn line and ash column region of the dark-colored cigarette; and analyzing a burning performance indicator of the dark-colored cigarette according to coordinate information of the burn line and ash column region. The method is based on a surface reflection characteristic of the dark-colored cigarette paper and a principle of optical reflection to light and highlight an edge of the dark-colored cigarette sample by a light source at a certain angle from a side. In this way, the method forms a chromatic aberration to localize the dark-colored cigarette sample, thereby testing the burning performance of the dark-colored cigarette sample.

Abstract: The present disclosure provides a safe puncture needle, and relates to the technical field of medical devices, which comprises a needle holder, a base and a needle tubing, wherein the needle tubing comprises a needle tubing body and a needle tubing tip having a bent structure, the base comprises a base body and a guide block, the base body is provided with a second inner space, the base body is provided with a first through-hole and a second through-hole communicating with the second inner space, the guide block is provided with a third through-hole, the needle tubing body passes through the first through-hole and the third through-hole and is slidably connected to the guide block, and the needle tubing tip retracts from the second through-hole.

Abstract: A device may receive a knowledge graph and SMILE data identifying compounds, and may train embeddings based on the knowledge graph. The device may generate graph embeddings for the SMILE data based on the embeddings, and may encode the SMILE data into a latent space. The device may combine the graph embeddings and the latent space to generate a combined latent-embedding space, and may decode the combined latent-embedding space to generate decoded SMILE data. The device may utilize the decoded SMILE data to train an encoder, and may process source SMILE data, with the trained encoder, to generate a source combined latent-embedding space. The device may search the source combined latent-embedding space to identify new SMILE data, and may decode the new SMILE data to generate decoded new SMILE data. The device may evaluate the decoded new SMILE data to identify particular SMILE data associated with a new compound.

Abstract: A device may receive source compound simplified molecular-input line-entry (SMILE) data, target compound SMILE data, and a latent space representing compounds, and may project the source compound SMILE data and the target compound SMILE data into the latent space to generate a source compound tensor and a target compound tensor, respectively. The device may process the source compound tensor, with one or more pretrained models, to determine a reward for the source compound tensor, and may determine, based on the reward, a direction and a magnitude to move in the latent space from the source compound tensor. The device may move the direction and the magnitude in the latent space to a new compound tensor, and may determine whether the new compound tensor matches the target compound tensor. The device may return a policy based on the new compound tensor matching the target compound tensor.

Abstract: A device for simulating carbon dioxide storage in a deep saline aquifer, including a CO2 gas source, first and second valves, first and second pressure pumps, first, second and third pressure gauges, a water storage tank, a simulation box, a first flow meter, a gas-liquid separator, a recycling tank, a microcomputer-display assembly, a structure plate, core holders, an injection pipeline, a connection pipeline, a baffle, a piezometer, a second flow meter, a heater, a lifter and an acoustic logging tool. The CO2 gas source, the first valve, the first pressure pump and the first pressure gauge for gas injection. The water storage tank, a second pressure pump and a second pressure gauge for water injection. The second valve, the third pressure gauge, the first flow meter, the gas-liquid separator and the recycling tank form an output pipeline.

Abstract: The application provides methods for designing a pre-activated arch expander, methods and systems for manufacturing a pre-activated arch expander, and pre-activated arch expanders. The method for designing a pre-activated arch expander includes: determining a target arch expansion parameter based on a digital model of an initial dental jaw in an initial dental arch form; determining a digital model of a target dental jaw in a target dental arch form based on the digital model of the initial dental jaw and the target arch expansion parameter; and designing a digital model of a pre-activated arch expander based on the target arch expansion parameter and the digital model of the target dental jaw.

Abstract: A battery case and a battery are provided. The battery case includes a case body. The case body is formed by a sheet-shaped plate being bent and welded. The plate has a first end and a second end. After the case body is bent, the first end is welded to the second end, a welding position at which the first end is welded to the second end is compressed to form an explosion-proof recess.

Abstract: Systems, devices, and methods are discussed for limiting exposure of internal network operations beyond the boundary of a secure network.

Abstract: Methods, systems and apparatus, including computer programs encoded on computer storage medium, for training a neurosymbolic data imputation system on training data inputs in a domain to impute missing data in a data input from the data domain. In one aspect a method includes, for each training data input, adding random noise to missing fields of the training data input; generating an embedding data input for the training data input using concept embeddings from the domain; processing the noisy data input and the embedding data input through a correlation network to obtain correlation data; applying attention to the noisy training data input and the correlation data to generate a combined data input; processing, by an autoencoder, the combined data input to obtain a decoded data output; computing a difference between the decoded data output and the training data input; and updating parameters of the data imputation system using the difference.

Abstract: A device may generate a synthetic knowledge graph based on a true knowledge graph, may partition the synthetic knowledge graph into a set of synthetic data partitions, and may determine, using a plurality of teacher models, an aggregated prediction. The aggregated prediction may be based on individual predictions from corresponding individual teacher models included in the plurality of teacher models. The device may determine, using a student model and based on the synthetic knowledge graph and noise, a student prediction. The student model may be trained based on historical synthetic knowledge graphs and historical aggregated predictions associated with the plurality of teacher models. The device may determine an error metric based on the aggregated prediction and the student prediction, and may perform an action associated with the synthetic knowledge graph based on the error metric.

Abstract: A device processes a knowledge graph to select a set of triples and generates a first class based on the set of triples. The device determines a quantity of quasi-identifier attributes in the first class and compares the quantity to a predefined parameter. The device embeds the knowledge graph to generate an embedding space representation, identifies a second class, and determines a first quantity of nodes in the first class and the second class. The device compares the first quantity to the predefined parameter and identifies a third class. The device determines a second quantity of nodes in the first class and the third class and compares the second quantity to the predefined parameter. The device merges the second class or the third class with the first class, based on the comparisons, to generate anonymized nodes for the knowledge graph.

Abstract: A device may generate a synthetic knowledge graph based on a true knowledge graph, may partition the synthetic knowledge graph into a set of synthetic data partitions, and may determine, using a plurality of teacher models, an aggregated prediction. The aggregated prediction may be based on individual predictions from corresponding individual teacher models included in the plurality of teacher models. The device may determine, using a student model and based on the synthetic knowledge graph and noise, a student prediction. The student model may be trained based on historical synthetic knowledge graphs and historical aggregated predictions associated with the plurality of teacher models. The device may determine an error metric based on the aggregated prediction and the student prediction, and may perform an action associated with the synthetic knowledge graph based on the error metric.