Abstract: A method includes comparing a first field of a first data record to a first field of a second data record to determine a first similarity metric based on a number of single character changes used to convert a value of the first field of the first data record to a value of the first field of the second data record and comparing a second field of the first data record to a second field of the second data record to determine a second similarity metric based on whether the second field of the first data record is identical to a value of the second field of the second data record. The method includes determining an aggregate similarity metric based on at least the first similarity metric and the second similarity metric and assigning the second data record to a calibration reliability group based on the aggregate similarity metric.

Abstract: A method of switching a connection of a mobile device from a first network to a second network, the mobile device comprising a secure element, including receiving data comprising network location information of the second network, causing an interruption of a connection between the mobile device and the first network, requesting the mobile device to obtain data comprising network type information of the second network, receiving said network type information, checking from the network location information and network type information, whether the second network is of a predefined network type and is available, and if the checking indicates that the second network is of the predefined network type and is available, requesting connection to the second network.

Abstract: A method includes determining, based on historical data associated with a reliability group, a model fit metric for each reliability model of a plurality of reliability models. The method also includes selecting a particular reliability model based on the model fit metrics. The method also includes estimating calibration interval parameters for the reliability group based on the particular reliability model. The method also includes generating a calibration interval recommendation for the reliability group based on the calibration interval parameters and a reliability target associated with the reliability group.

Abstract: The present invention provides novel water-soluble compositions comprising sesquiterpene coumarin enriched fractions containing different ratios of sesquiterpene coumarin derived from Ferula species for the treatment of Parkinson's disease via inhibition of MAOenzyme (MAO-A and MAO-B). The invention also provides a method of preparation of ethyl-acetate extract and sesquiterpene coumarin enriched fractions from asafoetida (Hing) that is oleo-gum-resin of Ferula assafoetida using silica gel column chromatography wherein the mobile phase consists of differing compositions of hexane, toluene, chloroform,ethyl-acetate, and methanol. The invention provides the method to prepare the formulation using a multistep process comprising of preparing sesquiterpene coumarin enriched fraction followed by preparing water-soluble formulation. The final composition improves the water solubility, imparts long-term stability, exerts MAO inhibitory activity, and improves pharmaceutical compliance.

Abstract: A method of manufacturing a vertical inductor, the method comprising: forming a substrate, forming a bottom electrode, forming a dielectric layer, forming a magnetic core, forming insulation layer, forming a conductive loop structure by extending vertical interconnects through the insulation layer from a first side of the magnetic core to a second side of the magnetic core, electrically connecting the vertical interconnects to the bottom electrode on the second side of the magnetic core.

Abstract: Certain aspects of the disclosure provide a method for generating an evaluation dataset. The method may include accessing a plurality of vector embeddings associated with a plurality of documents, wherein each vector embedding corresponds to a document; clustering the plurality of vector embeddings into a plurality of clusters; selecting, from each cluster of the plurality of clusters, a subset of vector embeddings of the plurality of vector embeddings according to a sampling strategy; for each respective vector embedding of the subset of vector embeddings: generating a seed question based on content of the portion of the document associated with the respective vector embedding; transforming the seed question into a transformed question of a question type different from the seed question; and associating the transformed question with the respective vector embedding as a ground truth label; and forming an evaluation dataset comprising the transformed questions and their associated ground truth labels.

Abstract: A system for detecting and associating elements in an image comprises detecting a plurality of text tokens in a query image. A first element is determined based on an entry point object list and the plurality of text tokens, wherein the entry point object list comprises of text objects or template shapes present in the query image. A plurality of region of interests (ROIs) around the first element in the query image are determined and a plurality of ROI images are created from the query image based on the plurality of ROIs. Determine a potential second element present in the plurality of ROI images. Generate a confidence score for each of the potential second elements. Filter the results based on the confidence score and a predetermined threshold to determine a second element. Subsequently, associate the second element with the first element as single component.

Abstract: A system for verifying ambiguous entities in documents. The system comprises a processor configured to tag at least one entity in at least one page of a document, create an entity relationship among the tagged entities of each of the at least one page, receive a question from a user for the document, generate at least one corresponding answer for said question, generate an embedded question and an embedded corresponding answer for said question and each of the at least one corresponding answer, respectively, retrieve k-similar answers with associated labels for each of the at least one corresponding embedded answer for said question, and validate each of the corresponding at least one embedded answer if the labels associated with the embedded question, the corresponding at least one embedded answer, and each of the k-similar answers match.

Abstract: A system and method are provided for performing keyword-assisted semantic searching.

Abstract: Various embodiments of the present disclosure provide methods, apparatuses, systems, devices, computing entities for managing digital asset transactions. An example method includes obtaining first current pricing data via an application programming interface, and providing the first current pricing data via a client device. The method further includes, responsive to determining that a first configurable time period has elapsed: obtaining second current pricing data via an application programming interface, and providing the second current pricing data for display via the client device. The method further includes receiving a second transaction request and executing an off-chain digital asset transaction for the second transaction request between a central operating account and the internal user account within a second configurable time period.

Abstract: An identity service in a cloud environment is communicatively coupled to a proxy key vault in the cloud environment and to an external key manager (EKM) located outside of the cloud environment. The identity service receives a token request for a communication credential from the proxy key vault and verifies the request based on a client credential associated with the proxy key vault. The identity service generates the client credential and signs the communication credential with a private key associated with the EKM. The identify service transmits the signed communication credential to the proxy key vault. The communication credential can be used to substantiate cryptographic operation requests to the EKM.

Abstract: The present disclosure relates to methods and apparatus for graphics processing. Aspects of the disclosure are directed to a method for accessing secure memory ranges. In some examples, the method includes reserving a first memory address range within a 32-bit address range for non-secure memory. In some examples, the method includes reserving a second memory address range within a 64-bit address range and outside the 32-bit address range for secure memory. In some examples, the method includes receiving, by a 64-bit kernel, a first command from a 32-bit application for accessing the secure memory. In some examples, the method includes preparing, by the 64-bit kernel, a 64-bit memory access command based on the first command. In some examples, the method includes transmitting, by the 64-bit kernel, the 64-bit memory access command to a graphics processing unit (GPU).

Abstract: System for optimizing training dataset comprising sample documents. The system comprises one or more processors configured to create graph embedding vector for each of the sample documents of the training dataset and cluster the graph embedding vectors of the sample documents of the training dataset into clusters based on the similarity between the graph embedding vectors. Further, the processor is configured to select a first set of training data, using an optimization model, wherein the first set of training data comprises a finite number of graph embedding vectors of the sample documents from the clustered training dataset. Finally, the first set of training data is fed as for a machine learning model.

Abstract: Disclosed are various embodiments facilitating a holistic engagement with a user across multiple communication channels of an organization or an enterprise based at least in part on a determined user intent. As users interact with various services associated with the organization through one or more communication channels, interaction data can be captured and stored. In various examples, the interaction data that is stored by the various services can be obtained and organized according to a predefined schema. The organized interaction data can be applied to a trained intent model that outputs a user intent based at least in part on observations of other users with similar histories. The predicted intent can be provided to the different services such that subsequent interactions between the user and the organization can be based at least in part on the intent in a consistent manner, regardless of the communication channel associated with the interaction.

Abstract: Various embodiments of the present disclosure provide methods, apparatuses, systems, devices, computing entities for managing digital asset transactions. An example method includes obtaining first current pricing data via an application programming interface, and providing the first current pricing data via a client device. The method further includes, responsive to determining that a first configurable time period has elapsed: obtaining second current pricing data via an application programming interface, and providing the second current pricing data for display via the client device. The method further includes receiving a second transaction request and executing an off-chain digital asset transaction for the second transaction request between a central operating account and the internal user account within a second configurable time period.

Abstract: The present disclosure relates to methods and apparatus for graphics processing. Aspects of the disclosure are directed to a method for accessing secure memory ranges. In some examples, the method includes reserving a first memory address range within a 32-bit address range for non-secure memory. In some examples, the method includes reserving a second memory address range within a 64-bit address range and outside the 32-bit address range for secure memory. In some examples, the method includes receiving, by a 64-bit kernel, a first command from a 32-bit application for accessing the secure memory. In some examples, the method includes preparing, by the 64-bit kernel, a 64-bit memory access command based on the first command. In some examples, the method includes transmitting, by the 64-bit kernel, the 64-bit memory access command to a graphics processing unit (GPU).

Abstract: An example system includes a turbine comprising an input port and mechanically coupled to a motor-generator and a compressor and control circuitry configured to determine whether a pressure of a fluid at the input port of the turbine is less than or equal to than a threshold pressure. In response to determining that the pressure of the fluid at the input port of the turbine is less than or equal to the threshold pressure, the control circuitry is configured to cause the motor-generator to operate in motor mode. The motor-generator is configured to be mechanically coupled to the compressor, and the motor-generator is configured to provide mechanical energy to drive the compressor when operating in motor mode.

Abstract: A system for verifying ambiguous entities in documents. The system comprises a processor configured to tag at least one entity in at least one page of a document, create an entity relationship among the tagged entities of each of the at least one page, receive a question from a user for the document, generate at least one corresponding answer for said question, generate an embedded question and an embedded corresponding answer for said question and each of the at least one corresponding answer, respectively, retrieve k-similar answers with associated labels for each of the at least one corresponding embedded answer for said question, and validate each of the corresponding at least one embedded answer if the labels associated with the embedded question, the corresponding at least one embedded answer, and each of the k-similar answers match.

Abstract: A processing device receives one or more inputs for design verification of an integrated circuit using an emulation compiler. The processing device determines a type of compiler for processing the one or more inputs. In response to determining that the type of compiler is a simulation compiler, the processing device modifies the simulation compiler according to the one or more inputs to form a modified simulation compiler to match one or more emulation semantics associated with the emulation compiler. The processing device performs a design verification using the modified simulation compiler.

Abstract: A method to retrieve transaction address resulting in PCIe completion timeout includes monitoring a Peripheral Component Interconnect Express (PCIe) controller to detect a Completion Timeout (CTO) transmitted therefrom. A Master Identification (ID) of a Master and a transaction address of a transaction are stored in a configuration space, in response to detecting the CTO, wherein the transaction originates from the Master and the CTO is signaled in response to the transaction. The CTO is responded to with the Master identified by the Master ID in the configuration space.