Abstract: Provided are a genetically modified cell line producing a recombinant glycoprotein having a mannose-terminated N-glycan and a method for producing the recombinant glycoprotein or a method for generating the cell, clone or cell line. The cell line comprises an insertion of less than 600 bp in the coding region of a chromosomal sequence encoding MGAT1.

Abstract: Provided are a genetically modified cell line producing a recombinant glycoprotein having a mannose-terminated N-glycan and a method for producing the recombinant glycoprotein or a method for generating the cell, clone or cell line. The cell line comprises an insertion of less than 600 bp in the coding region of a chromosomal sequence encoding MGAT1.

Abstract: This utility model relates to a kind of self-balancing scooter accessory connecting structure and accessory, comprising at least a clamping mechanism used to clamp the driving parts. The said clamping mechanism comprises the 1st gripper and the 2nd gripper. The said 1st gripper and the 2nd gripper may be mounted in a way permitting relative motion. The said 1st gripper comprises the 1st connection and 1st clamp plate. The said 2nd gripper comprises the 2nd connection and 2nd clamp plate; a self-locking structure, comprising the limit stops and length adjustment mechanism. The said 1st connection and 2nd connection are equipped with the said limit stop. The said length adjustment mechanism is mounted between two limit stops. The above self-balancing scooter accessory connecting structure is mounted between the self-balancing scooter saddle and driving parts. The 1st clamp plate and the 2nd clamp plate structures are suitable for fastening the driving parts without use of straps.

Abstract: Provided in the present invention is a method for constructing single cell sequencing libraries, comprising the following steps: a) lysing a single cell to obtain a single cell lysate; b) separating the nucleus and the cytoplasm in the single cell lysate obtained in step a) to obtain a nuclear solution and a total RNA solution; and c) constructing a chromatin DNA library with the nuclear solution obtained in step b) to obtain a chromatin-accessibility sequencing library of the single cell; and constructing a transcriptome library with the total RNA solution obtained in step b) to obtain a transcriptome sequencing library of the single cell.

Abstract: Techniques for leveraging existing statistical prediction models are provided. A first statistical prediction model is generated for a content item. An instruction is received to create a clone from the content item. In response to receiving the instruction, the clone is created based on attributes of the content item. A second statistical prediction model that is different than the first statistical prediction model is generated for the clone. In response to receiving a request for content, the clone is identified as relevant to the first request. A similarity between (1) first content of the content item and (2) second content of the clone is determined. If the similarity exceeds a similarity threshold, then the first statistical prediction model is used to generate a prediction of an entity user selection rate associated with the clone. Otherwise, the second statistical prediction model is used to generate the prediction.

Abstract: The present invention provides a hemostatic powder. The hemostatic powder is mainly present in the form of a columnar particle, wherein the ratio of axial length to diameter of the columnar particle is less than 5; the hemostatic powder includes a polymer represented by the following structural formula: wherein the R is at least one selected from the group consisting of —NH2, —OCH2CH2OH, —OCH2CH2CH2OH, —OH, —ONa, —OK and —OCa; m, n and p respectively represent number percentages of corresponding repeating units in polymer molecules, and satisfy the following equations: m+n+p=1, p/(m+n+p)=0.05˜0.

Abstract: The present invention provides a hemostatic powder. The hemostatic powder is mainly present in the form of a columnar particle, wherein the ratio of axial length to diameter of the columnar particle is less than 5; the hemostatic powder includes a polymer represented by the following structural formula: wherein the R is at least one selected from the group consisting of —NH2, —OCH2CH2OH, —OCH2CH2CH2OH, —OH, —ONa, —OK and —OCa; m, n and p respectively represent number percentages of corresponding repeating units in polymer molecules, and satisfy the following equations: m+n+p=1, p/(m+n+p)=0.05˜0.

Abstract: The present invention relates to a genetically-engineered Mycobacterium strain and a use thereof in the preparation of steroidal compounds. The genetically-engineered Mycobacterium strain is a Mycobacteria which lacks of acyl-CoA dehydrogenase genes fadE31, fadE32 and fadE33, wherein acyl-CoA dehydrogenase genes fadE31, fadE32 and fadE33 respectively encode proteins as follows: having amino acid sequences according to SEQ ID NOs 4, 6 and 8; derived by substituting, deleting or inserting one or more amino acids in the amino acid sequence defined by preceding protein and having the same function as that of the preceding protein. The present invention constructs a genetically-engineered Mycobacterium strain and applies it in preparing steroidal compounds, thereby enriching the types of valuable intermediates, improving the production efficiency and product quality of steroid drugs, reducing energy consumption in the steroid drugs production, simplifying production steps, and reducing production costs.

Abstract: Machine learning techniques are described for generating recommendations using decision trees. A decision tree is generated based on training data that comprises multiple training instances, each of which comprises a feature value for each of multiple features and a label of a target variable. The multiple features correspond to attributes of multiple content delivery campaigns. Later, feature values of a content delivery campaign are received. The decision tree is traversed using the feature values to generate output. Based on the output, one or more recommendations are identified and the one or more recommendations are presented on a computing device.

Abstract: Provided in the present invention is a method for constructing a single cell sequencing library, comprising the following steps: a) lysing a single cell to obtain a single cell lysate; b) separating the nucleus and the cytoplasm in the single cell lysate obtained in step a) to obtain a nuclear solution and a total RNA solution; and c) constructing a chromatin DNA library with the nuclear solution obtained in step b) to obtain a chromatin-accessibility sequencing library of the single cell; and constructing a transcriptome library with the total RNA solution obtained in step b) to obtain a transcriptome sequencing library of the single cell.

Abstract: Techniques for incremental workflow execution are provided. In one technique, a computing job in a workflow identifies an input path that indicates a first location from which the computing job is to read input data. The computing job identifies an output path that indicates a second location to which the computing job is to write output data. The computing job performs a comparison between the input path and the output path. Based on the comparison, the computing job determines whether to read the input data from the first location. If the input path does not correspond to the output path, then the computing job reads the input data from the first location, generates particular output data based on the input data, and writes the particular output data to the second location. The computing job ceases to execute if the input path corresponds to the output path.

Abstract: The present invention relates to a genetically-engineered Mycobacterium strain and a use thereof in the preparation of steroidal compounds. The genetically-engineered Mycobacterium strain is a Mycobacteria which lacks of acyl-CoA dehydrogenase genes fadE31, fadE32 and fadE33, wherein acyl-CoA dehydrogenase genes fadE31, fadE32 and fadE33 respectively encode proteins as follows: having amino acid sequences according to SEQ ID NOs 4, 6 and 8; derived by substituting, deleting or inserting one or more amino acids in the amino acid sequence defined by preceding protein and having the same function as that of the preceding protein. The present invention constructs a genetically-engineered Mycobacterium strain and applies it in preparing steroidal compounds, thereby enriching the types of valuable intermediates, improving the production efficiency and product quality of steroid drugs, reducing energy consumption in the steroid drugs production, simplifying production steps, and reducing production costs.

Abstract: Techniques for implementing a deep neural network architecture for search are disclosed herein. In some embodiments, the deep neural network architecture comprises: an item neural network configured to, for each one of a plurality of items, generate an item vector representation based on item data of the one of the plurality of items; a query neural network configured to generate a query vector representation for a query based on the query, the query neural network being distinct from the item neural network; and a scoring neural network configured to, for each one of the plurality of items, generate a corresponding score for a pairing of the one of the plurality of items and the query based on the item vector representation of the one of the plurality of items and the query vector representation, the scoring neural network being distinct from the item neural network and the query neural network.

Abstract: The present invention provides a hydroxyacyl-coenzyme A dehydrogenase gene, an acyl-coenzyme A thiolase gene, genetically engineered strains and a use thereof. The hydroxyacyl-coenzyme A dehydrogenase gene encodes a protein (i) or (ii) as follows: (i) having an amino acid sequence according to SEQ ID NO 2; (ii) derived by substituting, deleting or inserting one or more amino acids in the amino acid sequence defined by (i) and having the same function as that of the protein of (i). The present invention constructs genetically engineered Mycobacterium strains lacking of a hydroxyacyl-coenzyme A dehydrogenase gene or an acyl-coenzyme A thiolase gene, which are used in the preparation of steroidal compounds, such as 1,4-BNA, 4-BNA, 9-OH-BNA, etc.

Abstract: Techniques related to cache management for multi-node databases are disclosed. In some embodiments, a system comprises one or more computing devices including a training component, data store, cache, filtering component, and listening component. The training component produces a plurality of models based on user interaction data. The plurality of models are stored in the data store, which responds to requests from the cache when the cache experiences cache misses. The cache stores a first subset of the plurality of models. The filtering component selects a second subset of the plurality of models based on one or more criteria. Furthermore, the filtering component sends the second subset of the plurality of models to a messaging service. The listening component retrieves the second subset of the plurality of models from the messaging service. Furthermore, the listening component causes the second subset of the plurality of models to be stored in the cache.

Abstract: Techniques for incremental workflow execution are provided. In one technique, a computing job in a workflow identifies an input path that indicates a first location from which the computing job is to read input data. The computing job identifies an output path that indicates a second location to which the computing job is to write output data. The computing job performs a comparison between the input path and the output path. Based on the comparison, the computing job determines whether to read the input data from the first location. If the input path does not correspond to the output path, then the computing job reads the input data from the first location, generates particular output data based on the input data, and writes the particular output data to the second location. The computing job ceases to execute if the input path corresponds to the output path.

Abstract: Techniques related to cache management for multi-node databases are disclosed. In some embodiments, a system comprises one or more computing devices including a training component, data store, cache, filtering component, and listening component. The training component produces a plurality of models based on user interaction data. The plurality of models are stored in the data store, which responds to requests from the cache when the cache experiences cache misses. The cache stores a first subset of the plurality of models. The filtering component selects a second subset of the plurality of models based on one or more criteria. Furthermore, the filtering component sends the second subset of the plurality of models to a messaging service. The listening component retrieves the second subset of the plurality of models from the messaging service. Furthermore, the listening component causes the second subset of the plurality of models to be stored in the cache.

Abstract: Techniques for leveraging existing statistical prediction models are provided. A first statistical prediction model is generated for a content item. An instruction is received to create a clone from the content item. In response to receiving the instruction, the clone is created based on attributes of the content item. A second statistical prediction model that is different than the first statistical prediction model is generated for the clone. In response to receiving a request for content, the clone is identified as relevant to the first request. A similarity between (1) first content of the content item and (2) second content of the clone is determined. If the similarity exceeds a similarity threshold, then the first statistical prediction model is used to generate a prediction of an entity user selection rate associated with the clone. Otherwise, the second statistical prediction model is used to generate the prediction.

Abstract: A method for localizing for GPS denied environments is provided with a plurality of broadcasting transmitters and a software-defined radio (SDR). A pre-processing stage and a query phase is executed for localizing an unknown location. The results from the preprocessing stage are made available to the query stage. A simulated power spectrum is computed for a region of interest during the pre-processing phase via the plurality of broadcasting transmitters. A transmitter location, a radius of influence, and a power contour plot of each of the plurality of broadcasting transmitters are used for computing the simulated power spectrum. Next, a peak-finding process, a filtering process, and a localization process is executed during the query phase in order to identify the unknown location.

Abstract: Techniques for simulating performance of a content delivery campaign are provided. In one technique, multiple entities that satisfy one or more criteria associated with a content delivery campaign are identified. For each entity, multiple content item selection events in which that entity participated are identified and data associated with each of the content item selection events are aggregated to generate aggregated data. The aggregated data associated with each entity is combined to generate combined aggregated data. The combined aggregated data is adjusted based on an actual performance value of the content delivery campaign to generate adjusted aggregated data. In response to receiving input, determining, based on the adjusted aggregated data and the input, a simulated performance of the content delivery campaign.