Abstract: Deuterated domperidone compositions, methods of synthesis, methods of use, and dosing formulations providing beneficial safety and other effects.

Abstract: Systems and methods are directed to methods and apparatus for transferring ownership of common resources from a source entity, which owns a resource, to a destination entity, which will own the resource, in a distributed system. The method includes the source entity receiving a command to change ownership (the MOVE command), and then marking the source entity as no longer owning the common resource. The source entity then sends a MOVE command to the destination entity, which will then update its common resource ownership table to reflect that the ownership of the common resource has been transferred from the source entity to the destination entity. It is advantageous that the updating of ownership of the common resource in the source entity occur simultaneously with the dispatching of the MOVE command to the destination entity.

Abstract: Disclosed are stable extended release formulations and pharmaceutical compositions of Clozapine that exhibit improved stability under a variety of conditions, as well as processes for the preparation of such formulations and compositions.

Abstract: A multi-assistant speech-processing system that centrally determines multiple execution plans to respond to a user input. A central component determines whether a particular input should be processed using a requested assistant or a different assistant or should be terminated. Assistant handoff may be determined based on system policies as well as user input-specific data. A ranked list of execution options may be supplemented by augmented data corresponding to messages to a user. The system may attempt to execute plans in the ranked order until a plan succeeds.

Abstract: Disclosed herein are evaporator assemblies for heat pump systems. The evaporator units can comprise a housing defining an interior chamber, an air inlet and an air outlet. The air inlet and the air outlet can form an air flow path through the interior chamber, and an evaporator unit can be positioned within the interior chamber such that the air flow path contacts the evaporator unit. The air inlet having a semi-circular cross section through which air flows into the interior chamber, the semi-circular cross section having a straight edge and a curved edge. A velocity magnitude of the air flowing from the air inlet into contact with the evaporator unit can deviate less than 0.1 m/s from the average air velocity across the surface area of the evaporator.

Abstract: A power electronic module is provided that includes an electrical connection on opposing surfaces of an electronic component that allows a high current path from a top board to a bottom board through the body of the electronic component thus improving the power electronic module's electrical resistance and reducing the current load on the connector structure which is located between the first substrate and the second substrate. The power electronic module further includes a semiconductor component positioned on an external surface of the top board which allows for thermal contact of the semiconductor component with an external heat sink thus providing an efficient system thermal management via a reduced heat dissipation path. Additional heat dissipation can be obtained by disposing a metallic spacer on the semiconductor component of the power electronic module of the present disclosure.

Abstract: In some aspects, systems and methods for efficiently clustering a large-scale dataset for improving the construction and training of machine-learning models, such as neural network models, are provided. A dataset used for training a neural network model configured can be clustered into a first set of clusters and a second set of clusters. The neural network model can be constructed with a number of nodes in a hidden layer that is based on the number of clusters in the first set of clusters. The neural network can be trained based on training samples selected from the second set of clusters. In some aspects, the trained neural network model can be utilized to satisfy risk assessment queries to compute output risk indicators for target entities. The output risk indicator can be used to control access to one or more interactive computing environments by the target entities.

Abstract: In some aspects, a computing system can control access of a user computing device to a resource. The computing system can obtain an access request submitted by a user computing device. The computing system can verify permission information in the access request to determine that the access request is valid. If the access request is valid, the computing system submits an authentication request to request an authentication system to authenticate the user and obtains authentication results generated by the authentication system. The computing system further provides, based on the authentication results, an access control decision for the access request.

Abstract: Various embodiments include techniques for accessing extended memory in a parallel processing system via a high-bandwidth path to extended memory residing on a central processing unit. The disclosed extended memory system extends the directly addressable high-bandwidth memory local to a parallel processing system and avoids the performance penalties associated with low-bandwidth system memory. As a result, execution threads that are highly parallelizable and access a large memory space execute with increased performance on a parallel processing system relative to prior approaches.

Abstract: Systems and methods are directed to methods and apparatus for transferring ownership of common resources from a source entity, which owns a resource, to a destination entity, which will own the resource, in a distributed system. The method includes the source entity receiving a command to change ownership (the MOVE command), and then marking the source entity as no longer owning the common resource. The source entity then sends a MOVE command to the destination entity, which will then update its common resource ownership table to reflect that the ownership of the common resource has been transferred from the source entity to the destination entity. It is advantageous that the updating of ownership of the common resource in the source entity occur simultaneously with the dispatching of the MOVE command to the destination entity.

Abstract: In some aspects, systems and methods for efficiently clustering a large-scale dataset for improving the construction and training of machine-learning models, such as neural network models, are provided. A dataset used for training a neural network model configured can be clustered into a first set of clusters and a second set of clusters. The neural network model can be constructed with a number of nodes in a hidden layer that is based on the number of clusters in the first set of clusters. The neural network can be trained based on training samples selected from the second set of clusters. In some aspects, the trained neural network model can be utilized to satisfy risk assessment queries to compute output risk indicators for target entities. The output risk indicator can be used to control access to one or more interactive computing environments by the target entities.

Abstract: A power electronic module is provided that includes an electrical connection on opposing surfaces of an electronic component that allows a high current path from a top board to a bottom board through the body of the electronic component thus improving the power electronic module's electrical resistance and reducing the current load on the connector structure which is located between the first substrate and the second substrate. The power electronic module further includes a semiconductor component positioned on an external surface of the top board which allows for thermal contact of the semiconductor component with an external heat sink thus providing an efficient system thermal management via a reduced heat dissipation path. Additional heat dissipation can be obtained by disposing a metallic spacer on the semiconductor component of the power electronic module of the present disclosure.

Abstract: In some aspects, systems and methods for efficiently clustering a large-scale dataset for improving the construction and training of machine-learning models, such as neural network models, are provided. A dataset used for training a neural network model configured can be clustered into a first set of clusters and a second set of clusters. The neural network model can be constructed with a number of nodes in a hidden layer that is based on the number of clusters in the first set of clusters. The neural network can be trained based on training samples selected from the second set of clusters. In some aspects, the trained neural network model can be utilized to satisfy risk assessment queries to compute output risk indicators for target entities. The output risk indicator can be used to control access to one or more interactive computing environments by the target entities.

Abstract: Systems and methods for secure resource management are provided. A secure resource management system receives from a client computing system associated with a resource provider a query for classifying a resource user associated with the resource provider. The secure resource management system determining a set of resource abuser criteria for classifying the resource user as a resource abuser. The secure resource management system determines that the resource user is a resource abuser or a potential resource abuser based on the set of resource abuser criteria and a resource transaction history associated with the resource user. Based on determining that the resource user is a resource abuser or a potential resource abuser, the secure resource management system generates and transmits a response to the query to the client computing system. The response can be used to restrict or deny access to the resource by the resource user.

Abstract: In some aspects, a computing system can control access of a user computing device to a resource. The computing system can obtain an access request submitted by a user computing device. The computing system can verify permission information in the access request to determine that the access request is valid. If the access request is valid, the computing system submits an authentication request to request an authentication system to authenticate the user and obtains authentication results generated by the authentication system. The computing system further provides, based on the authentication results, an access control decision for the access request.

Abstract: Deuterated domperidone compositions, methods of synthesis, methods of use, and dosing formulations providing beneficial safety and other effects.

Abstract: In some aspects, a computing system can control access of a user computing device to a resource. The computing system can obtain an access request submitted by a user computing device. The computing system can verify permission information in the access request to determine that the access request is valid. If the access request is valid, the computing system submits an authentication request to request an authentication system to authenticate the user and obtains authentication results generated by the authentication system. The computing system further provides, based on the authentication results, an access control decision for the access request.

Abstract: The disclosure provides pharmaceutical formulations comprising domperidone or a pharmaceutically acceptable salt thereof. The formulations also contain (i) a glyceryl stearate, and a medium chain triglyceride; or (ii) a stearoyl polyoxyl glyceride, a nonionic poly(ethylene oxide) polymer, and a medium chain triglyceride; or (iii) a nonionic poly(ethylene oxide) polymer, and a polyethylene glycol. The disclosure also provides methods for treating a disorder that is gastroparesis, nausea apart from gastroparesis, vomiting apart from gastroparesis, nausea associated with gastroparesis, vomiting associated with gastroparesis, gastroesophageal reflux disease, insufficient lactation, or a combination thereof in a patient, comprising administering to the patient a formulation described herein. In some aspects, the disorder is gastroparesis. In other aspects, the disorder is gastroesophageal reflux disease. In further aspects, the disorder is insufficient lactation.

Abstract: The disclosure provides pharmaceutical formulations comprising d4-domperidone of the formula (I): (I) or a pharmaceutically acceptable salt thereof. The formulations also contain (i) a glyceryl stearate, and a medium chain triglyceride; or (ii) a stearoyl polyoxyl glyceride, a nonionic poly(ethylene oxide) polymer, and a medium chain triglyceride; or (iii) a nonionic poly(ethylene oxide) polymer, and a polyethylene glycol. The disclosure also provides methods for treating a disorder that is gastroparesis, nausea apart from gastroparesis, vomiting apart from gastroparesis, nausea associated with gastroparesis, vomiting associated with gastroparesis, gastroesophageal reflux disease, insufficient lactation, or a combination thereof in a patient, comprising administering to the patient a formulation described herein. In some aspects, the disorder is gastroparesis. In other aspects, the disorder is gastroesophageal reflux disease. In further aspects, the disorder is insufficient lactation.

Abstract: In some aspects, systems and methods for efficiently clustering a large-scale dataset for improving the construction and training of machine-learning models, such as neural network models, are provided. A dataset used for training a neural network model configured can be clustered into a first set of clusters and a second set of clusters. The neural network model can be constructed with a number of nodes in a hidden layer that is based on the number of clusters in the first set of clusters. The neural network can be trained based on training samples selected from the second set of clusters. In some aspects, the trained neural network model can be utilized to satisfy risk assessment queries to compute output risk indicators for target entities. The output risk indicator can be used to control access to one or more interactive computing environments by the target entities.