Abstract: A computer-implemented method for testing a model indicating a parametric relationship between a plurality of channels of multivariate data, the method comprising: obtaining a real dataset of observed multivariate data comprising the plurality of channels; generating a control dataset of multivariate data comprising the plurality of channels, the control dataset being generated based on the model; for each of a plurality of sample subsets from the real dataset and the control dataset, calculating a p-value for the model; and determining whether (1) a distribution difference characteristic of a distribution of the obtained p-values for sample subsets of the real dataset and a distribution of the obtained p-values for sample subsets of the control dataset falls within a second predetermined significance range, and, if condition (1) is met, determining that the model is accurate.

Abstract: A computer implemented method to obtain a batch transaction detection model that uses a machine learning process to detect that a transaction of a digital currency is a batch transaction is described. The method comprises obtaining transaction data from a block in a blockchain, wherein the transaction data comprises a plurality of items; generating an aggregated transaction data set of the transaction data and labelling the aggregated transaction data set according to whether the transaction is a batch transaction, using a feature selection method to remove from the aggregated transaction data redundant features and collinear features, to generate a reduced transaction data set having substantially independent features relevant to batch transaction detection. The method trains, tests and validates the batch transaction detection model using the reduced transaction data set; where the trained batch transaction detection model is adapted to determine whether a transaction is a batch transaction.

Abstract: A computer implemented method of decomposing a blockchain comprising transactions in digital currency for analysis and display is described. The method comprises first determining a range of blocks in the blockchain. Each block in the range of blocks in the blockchain is then unpacked into a table comprising one or more rows of input and output data for each transaction stored in the block. For the range of blocks in the blockchain, entity information and transaction information are then aggregated into a block analysis table. A node of a computing network and a computer program product adapted for implementation of such a method are also described.

Abstract: A computer implemented method of training a model, using a machine learning process, to predict whether a transaction of a digital currency stored in a blockchain is fraudulent, comprises: obtaining (202) transaction data for a first transaction of first funds in the digital currency, wherein the transaction data further comprises information related to a second transaction of the first funds that preceded the first transaction. The method further comprises labelling (204) the transaction data for the first transaction according to whether the first transaction was fraudulent and using (206) the transaction data and the label as training data with which to train the model.

Abstract: A computer implemented method of training a model, using a machine learning process, to predict whether a transaction of a digital currency stored in a blockchain is fraudulent, comprises: unpacking (202) a block in the blockchain into a table comprising one or more rows of input and output data for a previous transaction stored in the block and aggregating (204) the one or more rows of input and output data to form an aggregated row of transaction data for the previous transaction. The method further comprises labelling (206) the aggregated row of transaction data for the previous transaction according to whether the previous transaction was fraudulent and using (208) the aggregated row of transaction data and the label as training data with which to train the model.

Abstract: A system and method are provided for automating the development of artificial intelligence projects. The system includes a project store that enables the storage, searching and retrieval of existing artificial intelligence projects. The system also includes a data store that enables the storage, searching and retrieval of data sets. A search engine is provided that enables selected features to be applied to neural networks as part of the existing artificial intelligence projects. An artificial intelligence project server is also provided which utilizes a model training and validation module, a model interference module and an input module.

Abstract: A system and computer-implemented method for optimising, by a quantum computer, an allocation of opportunities to recipients comprising: determining a plurality of opportunities to be allocated; determining a plurality of recipients to be allocated at least one of the plurality of opportunities; determining a respective acceptance likelihood of each of the plurality of recipients accepting each of the plurality of opportunities; determining a first constraint associated with a cost acceptance of each of the plurality of opportunities by the plurality of recipients; and determining an optimised allocation of the opportunities to the recipients based on the respective likelihoods and the first constraint, in the quantum computer.

Abstract: A computer-implemented method for testing a model indicating a parametric relationship between a plurality of channels of multivariate data, the method comprising: obtaining a real dataset of observed multivariate data comprising the plurality of channels; generating a control dataset of multivariate data comprising the plurality of channels, the control dataset being generated based on the model; for each of a plurality of sample subsets from the real dataset and the control dataset, calculating a p-value for the model; and determining whether (1) a distribution difference characteristic of a distribution of the obtained p-values for sample subsets of the real dataset and a distribution of the obtained p-values for sample subsets of the control dataset falls within a second predetermined significance range, and, if condition (1) is met, determining that the model is accurate.

Abstract: A pipe coating removal apparatus (1) for removing all or some of the coating on a pipe, the pipe coating removal apparatus (1) having a pipe support means (2) for supporting a length of pipe. and further having a tool carriage (3). The tool carriage (3) being capable of supporting two or more different types of pipe coating removal tools (4), (5), (6), (7), (8), (80), (81), (82) and/or (70). The pipe coating removal apparatus (1) being capable of causing relative movement between the tool carriage (3) and the pipe support means (2) to remove all or some of the coating on the pipe that is supportable by the pipe support means (2).

Abstract: The present invention includes methods and compositions for the production of high titer recombinant Adeno-Associated Virus (rAAV) in a variety of mammalian cells. The disclosed rAAV are useful in gene therapy applications. Disclosed methods based on co-infection of cells with two or more replication-defective recombinant herpes virus (rHSV) vectors are suitable for high-titer, large-scale production of infectious rAAV.

Abstract: The present invention includes methods and compositions for the production of high titer recombinant Adeno-Associated Virus (rAAV) in a variety of mammalian cells. The disclosed rAAV are useful in gene therapy applications. Disclosed methods based on co-infection of cells with two or more replication-defective recombinant herpes virus (rHSV) vectors are suitable for high-titer, large-scale production of infectious rAAV.

Abstract: Interbody fusion systems and methods are provided. According to one embodiment, an interbody fusion system may include an interbody fusion device implantable in an interbody space of a spinal joint. The interbody fusion device may include a first component and a second component. The first component and the second component, together, may define a mating interface at which the first component and the second component are securable together with the first component and the second component both positioned entirely within the interbody space. The first component and the second component, together, may have at least a first cavity that is exposed on a superior side and on an inferior side of the interbody fusion device. The system may further include a first inserter securable to a first proximal end of the first component and a second inserter securable to a second proximal end of the second component.

Abstract: A pharmaceutical preparation for treating connective tissue damage in man and in animals, comprising a therapeutically effective amount of a glycosaminoglycan composition comprising chondroitin sulfate and hyaluronan, in combination with isolated stem cells. Methods of use and kits containing the glycosaminoglycan composition and materials for isolating stem cells and for treating connective tissue damage and repair of cartilage in man and in animals are also provided.

Abstract: The present invention includes methods and compositions for the production of high titer recombinant Adeno-Associated Virus (rAAV) in a variety of mammalian cells. The disclosed rAAV are useful in gene therapy applications. Disclosed methods based on co-infection of cells with two or more replication-defective recombinant herpes virus (rHSV) vectors are suitable for high-titer, large-scale production of infectious rAAV.

Abstract: A pharmaceutical preparation for treating connective tissue damage in man and in animals, comprising a therapeutically effective amount of a glycosaminoglycan composition comprising chondroitin sulfate and hyaluronan, in combination with isolated stem cells. Methods of use and kits containing the glycosaminoglycan composition and materials for isolating stem cells and for treating connective tissue damage and repair of cartilage in man and in animals are also provided.

Abstract: The present invention includes methods and compositions for the production of high titer recombinant Adeno-Associated Virus (rAAV) in a variety of mammalian cells. The disclosed rAAV are useful in gene therapy applications. Disclosed methods based on co-infection of cells with two or more replication-defective recombinant herpes virus (rHSV) vectors are suitable for high-titer, large-scale production of infectious rAAV.

Abstract: A pharmaceutical preparation for treating connective tissue damage in man and in animals, comprising a therapeutically effective amount of a glycosaminoglycan composition comprising chondroitin sulfate, N-acetyl D-glucosamine, and hyaluronan, in combination with isolated stem cells. Methods of use and kits containing the glycosaminoglycan composition and materials for isolating stem cells and for treating connective tissue damage and repair of cartilage in man and in animals are also provided.

Abstract: A pharmaceutical preparation for treating connective tissue damage in man and in animals, comprising a therapeutically effective amount of a glycosaminoglycan composition comprising chondroitin sulfate, N-acetyl D-glucosamine, and hyaluronan, in combination with isolated stem cells. Methods of use and kits containing the glycosaminoglycan composition and materials for isolating stem cells and for treating connective tissue damage and repair of cartilage in man and in animals are also provided.

Abstract: A system and method for configuring a controlling device to allow the controlling device to generate commands for commanding operations of a new appliance which new appliance was previously unable to be supported by the controlling device. The system and method uses a definition input into the controlling device to create a new device data set for use in generating commands to command operations of the new appliance. The new device data set is a new combination of elements selected from device data sets already stored within a memory of the controlling device.

Abstract: A customizable and an upgradable remote control is provided which may be customized or upgraded via a Web site or through other remote, and preferably interactive, processes. A database is provided which includes a plurality of functions of a consumer electronic device, such as a TV and/or a DVD player. A user selects among the plurality of functions at least one of the desired functions. In response to the user selection a virtual configuration is created to virtually configure the customizable remote control. The virtual configuration may be downloaded to the customizable remote control.