Abstract: The disclosure discloses a method for detecting an intrusion in parallel based on an unbalanced data Deep Belief Network, which reads an unbalanced data set DS; under-samples the unbalanced data set using the improved NCR algorithm to reduce the ratio of the majority type samples and make the data distribution of the data set balanced; the improved differential evolution algorithm is used on the distributed memory computing platform Spark to optimize the parameters of the deep belief network model to obtain the optimal model parameters; extract the feature of data of the data set, and then classify the intrusion detection by the weighted nuclear extreme learning machine, and finally train multiple weighted nuclear extreme learning machines of different structures in parallel by multithreading as the base classifier, and establish a multi-classifier intrusion detection model based on adaptive weighted voting for detecting the intrusion in parallel.

Abstract: A master-slave architecture deployment method based on snapshot includes: restoring a core library corresponding to a MySQL database at any point in snapshot time, where the core library is a virtual library of the MySQL database; querying out at least one piece of configuration information necessary for master-slave configuration of the MySQL database by using the core library as baseline; taking a snapshot on the core library by using a snapshot technology; creating and cloning at least one copy library corresponding to the core library respectively based on the snapshot and the at least one piece of configuration information necessary for master-slave configuration; and configuring a master-slave relationship and a master library and a slave library corresponding to the master-slave relationship for the core library and the at least one copy library. A master-slave architecture deployment device based on snapshot is further provided.

Abstract: The present invention provides a detection reagent and therapeutic target for B cell tumor after targeted therapy and related applications. The reagent composition comprises 3 groups of antibodies, with the first group of antibodies including an anti-CD38 antibody, an anti-CD10 antibody, an anti-CD34 antibody, an anti-CD19 antibody, an anti-CD24 an antibody, an anti-CD20 antibody, an anti-CD81 antibody, an anti-CD45 antibody; the second group of antibodies including an anti-CD38 antibody, an anti-CD10 antibody, an anti-CD34 antibody, an anti-CD19 antibody, an anti-CD20 antibody, an anti-CD72 antibody, an anti-CD45 antibody; and the third group of antibodies including an anti-cytoplasmic CD79a antibody. The reagent composition of the present invention can be applied for the detection of B-lymphocyte tumors after targeted therapy by flow cytometry.

Abstract: Some implementations relate to using trained robotic action ML models in controlling a robot to perform a robotic task. Some versions of those implementations include (a) a first modality robotic action ML model that is used to generate, based on processing first modality sensor data instances, first predicted action outputs for the robotic task and (b) a second modality robotic action ML model that is used to generate, in parallel and based on processing second modality sensor data instances, second predicted action outputs for the robotic task. In some of those versions, respective weights for each pair of the first and second predicted action outputs are dynamically determined based on analysis of embeddings generated in generating the first and second predicted action outputs. A final predicted action output, for controlling the robot, is determined based on the weights.

Abstract: The present invention provides a high-strength and high-heat-resistant bio-based polyamide composition, which consists of the following parts of materials by mass: 43.50-89.95% of bio-based polyamide resin slices; 10-50% of reinforcements; 0.01-2% of rare earth compounds; 0.01-1% of copper salt antioxidant combinations; 0.01-1% of free-radical scavengers; 0.01-0.5% of heat-conducting masterbatches; 0.01-1% of stabilizers; and 0-1% of dispersants. The advantage of the present invention is presented in that: the bio-based polyamide resin slice is prepared through a stepwise polycondensation process of pentanediamine and adipic acid, or through a stepwise polycondensation process of pentanediamine, adipic acid and terephthalic acid and the pentanediamine is prepared through fermentation of starch, so the prepared polyamide resin pertains to an environmentally-friendly engineering plastic.

Abstract: The present invention relates to a preparation and purification method for cationic quaternary ammonium salt of sodium hyaluronate in homogeneous medium. By adding a homogeneous solvent and a sodium hyaluronate solid to a vessel, heating the vessel until the contents are dissolved to form a homogeneous system, adding an aqueous solution of 2,3-epoxypropyltrimethylammonium chloride (GTA) to the homogeneous system, then adding a base catalyst, and stirring at a preset temperature to carry out a graft reaction, a graft product is obtained wherein 2,3-epoxypropyltrimethylammonium chloride is grafted to the oxygen atom of the hydroxymethyl group of sodium hyaluronate. By using the method, a graft product wherein 2,3-epoxypropyltrimethylammonium chloride is grafted to the oxygen atom of the hydroxymethyl group of sodium hyaluronate is obtained. Addition of salts is avoided during the reaction, a grafting yield up to 0.69 is obtained, and coagulation occurred to the product is effectively solved.

Abstract: The present invention provides a vertical feeding and wafer inserting integrated machine, comprising a rack and a silicon wafer transfer device provided on the rack; a carrying-transporting water tank for carrying and transporting silicon wafers is provided on one end of the rack; the rack is further provided with a feeding unit for conveying the silicon wafers in the carrying-transporting water tank to a silicon wafer transfer belt a wafer inserting unit for inserting the silicon wafers into wafer baskets is provided on one end, away from the feeding unit, of the silicon wafer transfer device, and a wafer basket arraying mechanism is provided on the other end of the wafer inserting unit; and a washing manipulator for transferring grouped wafer baskets to a washing procedure is further correspondingly provided on the rack.

Abstract: The present invention provides a reagent composition for detection of a non-hematopoietic tumor and use thereof. Said reagent composition includes three sets of antibodies, with the first set of antibodies including an anti-CD9 antibody, an anti-GD2 antibody, an anti-CD3 antibody, an anti-CD4 antibody, an anti-CD56 antibody, an anti-CD36 antibody, an anti-CD81, and an anti-CD45 antibody; the second set of antibodies including an anti-HLA-ABC antibody, an anti-CD38 antibody, an anti-CD19 antibody, an anti-CD56 antibody, an anti-CD36 antibody, an anti-CD7 antibody, and an anti-CD45 antibody; the third set of antibodies including anti-cytoplasmic cytokeratin antibodies; wherein the first set of antibodies and the second set of antibodies are respectively used for samples in separate tubes, and the third set of antibodies is used for the sample in the same tube as the second set of antibodies.

Abstract: A master-slave architecture deployment method based on snapshot includes: restoring a core library corresponding to a MySQL database at any point in snapshot time, where the core library is a virtual library of the MySQL database; querying out at least one piece of configuration information necessary for master-slave configuration of the MySQL database by using the core library as baseline; taking a snapshot on the core library by using a snapshot technology; creating and cloning at least one copy library corresponding to the core library respectively based on the snapshot and the at least one piece of configuration information necessary for master-slave configuration; and configuring a master-slave relationship and a master library and a slave library corresponding to the master-slave relationship for the core library and the at least one copy library. A master-slave architecture deployment device based on snapshot is further provided.

Abstract: Implementations disclosed herein relate to mitigating the reality gap through feature-level domain adaptation in training of a vision-based robotic action machine learning (ML) model. Implementations mitigate the reality gap through utilization of embedding consistency losses and/or action consistency losses during training of the action ML model.

Abstract: The present invention provides a detection reagent and therapeutic target for B cell tumor after targeted therapy and related applications. The reagent composition comprises 3 groups of antibodies, with the first group of antibodies including an anti-CD38 antibody, an anti-CD10 antibody, an anti-CD34 antibody, an anti-CD19 antibody, an anti-CD24 an antibody, an anti-CD20 antibody, an anti-CD81 antibody, an anti-CD45 antibody; the second group of antibodies including an anti-CD38 antibody, an anti-CD10 antibody, an anti-CD34 antibody, an anti-CD19 antibody, an anti-CD20 antibody, an anti-CD72 antibody, an anti-CD45 antibody; and the third group of antibodies including an anti-cytoplasmic CD79a antibody. The reagent composition of the present invention can be applied for the detection of B-lymphocyte tumors after targeted therapy by flow cytometry.

Abstract: Disclosed are an antibody combination for one-step screening and/or diagnosis of clonal diseases and application thereof. The antibody combination includes eight groups of antibodies, and is a set of flow cytometry detection panels for one-step screening and/or diagnosis of clonal diseases, and 5-tube parallel is used for one sample, the first group of antibodies and the second group of antibodies are used for samples in different flow cytometry tubes, the third group of antibodies and the sixth group of antibodies are used for samples in the same flow cytometry tube, the fourth group of antibodies and the seventh group of antibodies are used for samples in the same flow cytometry tube, and the fifth group of antibodies and the eighth group of antibodies are used for samples in the same flow cytometry tube.

Abstract: Systems and methods include determination of a plurality of records, each of the plurality of records including an event, an item, a supplier, and a timestamp, generation, for each of the plurality of records, of a negative sample record including the event of the record, the item of the record, the timestamp of the record, and a sample supplier different from the supplier of the record, association of each of the plurality of records and the generated negative sample records with either a first time period or a second time period based on the timestamp of the record, training of a machine-learning model based on the records and the negative sample records associated with the first time period, and evaluation of the trained model based on the records and the negative sample records associated with the second time period.

Abstract: A method of modeling a scenario for use with live data in a production database may include selecting the scenario. The live data can be stored in the production database on a first computing resource, and production scenarios can be stored and executed on the live data using the first computing resource. The method may also include identifying a subset of the live data that are affected by the scenario, copying the subset to a second computing resource to create modeling data, running the scenario on the modeling data using the second computing resource, causing a display device to provide an output comprising a result of the scenario on the modeling data, receiving an input indicating that the scenario is approved, and storing the scenario with the plurality of production scenarios for use on the first computing resource.

Abstract: A heat recovery system and methods of their use that include a liquid separator, which allows for relatively less refrigerant charge needed for operation of the heat recovery system, e.g. in a cooling and/or heat recovery mode. The liquid separator separates the liquid and vapor from fluid exiting the heat recovery exchanger, which can ensure that the inlet of the condenser coil is sourced with vapor and minimizes liquid entering the condenser coil. The liquid separator does not receive liquid refrigerant from the condenser coil, such as in a regular operating mode (e.g. cooling and/or heat recovery mode). Use of the liquid separator and its arrangement within the fluid circuit can thereby reduce the operating refrigerant charge needed for the system. A flow control device can control the heat recovery and/or cooling capacity of the heat recovery system.

Abstract: A heat recovery system and methods of their use that include a liquid separator, which allows for relatively less refrigerant charge needed for operation of the heat recovery system, e.g. in a cooling and/or heat recovery mode. The liquid separator separates the liquid and vapor from fluid exiting the heat recovery exchanger, which can ensure that the inlet of the condenser coil is sourced with vapor and minimizes liquid entering the condenser coil. The liquid separator does not receive liquid refrigerant from the condenser coil, such as in a regular operating mode (e.g. cooling and/or heat recovery mode). Use of the liquid separator and its arrangement within the fluid circuit can thereby reduce the operating refrigerant charge needed for the system. A flow control device can control the heat recovery and/or cooling capacity of the heat recovery system.

Abstract: A web service for automatically determining accounting entries that are affected by the deletion of a journal, formulating reverse accounting entries, and sending the reverse entries back to the source system is described. The service can use transaction identification keys to map and track which accounting entries are affected by the deletion of the journal. The web service can use extensible markup language (XML) among other formats.

Abstract: A method of modeling a scenario for use with live data in a production database may include selecting the scenario. The live data can be stored in the production database on a first computing resource, and production scenarios can be stored and executed on the live data using the first computing resource. The method may also include identifying a subset of the live data that are affected by the scenario, copying the subset to a second computing resource to create modeling data, running the scenario on the modeling data using the second computing resource, causing a display device to provide an output comprising a result of the scenario on the modeling data, receiving an input indicating that the scenario is approved, and storing the scenario with the plurality of production scenarios for use on the first computing resource.

Abstract: A web-service for validating or invalidating accounts from a general ledger (GL) chart of accounts is described. Upon a request from an application for whether an account value corresponding to a department and a product is valid, the service indicates whether the combination of account value/department/product is valid for the chart of accounts. The system can be extensible markup language (XML)-based and can indicate validity down to the line level of a request.

Abstract: A web service for automatically determining accounting entries that are affected by the deletion of a journal, formulating reverse accounting entries, and sending the reverse entries back to the source system is described. The service can use transaction identification keys to map and track which accounting entries are affected by the deletion of the journal. The web service can use extensible markup language (XML) among other formats.