Abstract: The present application provides a communication protection method and a system, an electronic equipment, and a storage medium. The method includes: determining a type of a data message to be sent, the type of the data message including a first data message and a second data message; the first data message being a primary data message sent to a communication receiving terminal, and the second data message being a non-primary data message sent to the communication receiving terminal; in response to that the data message is the first data message, performing strong verification on the data message; in response to that the data message is the second data message, performing weak verification on the data message, the strong verification being a verification with security higher than the weak verification; and in response to that verification passes, transmitting the data message to the communication receiving terminal.

Abstract: Methods and systems are presented for providing a container orchestration framework for facilitating development and deployment of software applications across different operating environments within an enterprise system. Upon receiving a service request for processing a set of data is received, the container orchestration framework determines one or more machines that store the set of data. Instead of processing the set of data remotely, the container orchestration framework deploys a container that encapsulates an application on the one or more machines. Each application instance running on the one or more machines are executed to process a corresponding subset of data stored on the machine locally. The container orchestration framework obtains the output data from executing the applications on each of the one or more machines, and present the output data as a response to the service request.

Abstract: The present disclosure relates to an apparatus and a method for a real-time clock (RTC) module of a system-on-chip (SoC), and provides an apparatus for powering battery-powered RTC module of an SoC. The apparatus is integrated in the RTC module and comprises: a first regulator stage comprising one or more regulators, wherein the first regulator stage is configured to provide a core power supply voltage (VDD_CORE) on the basis of battery output voltage (VDD_BAT); and a crystal oscillator I/O unit, the crystal oscillator I/O unit being powered by the core power supply voltage (VDD_CORE) and an I/O power supply voltage (VDD_IO), wherein the apparatus directly provides the battery output voltage (VDD_BAT) as the I/O power supply voltage (VDD_IO).

Abstract: A computer system receives a set of user-defined rules are that useable by a computer service to automate a decision flow. The computer system generates a graph model from the user-defined rules. From the graph model, the computer system determines an input dependency model that is indicative of a set of inputs referred to in the graph model. The input dependency model is useable by an orchestrator to coordinate accesses to the one or more data stores in which the set of inputs is stored. The computer system receives the set of inputs and determines one or more automated decisions by applying the set of inputs to the graph model.

Abstract: A genomic data analyzer may be configured to detect and characterize, with a variant calling module, genomic variant scenarios on sequencing reads from an enriched patient genomic sample comprising a combination of a first repeat pattern and a second repeat pattern, such as repeats of homopolymer (single nucleotide) and/or heteropolymer (multiple nucleotide) basic motifs. The variant calling module may estimate the probability distribution of the length of the first repeat pattern and the probability distribution of the repeat pattern length measurements in patient data to the distribution of the repeat pattern length measurements in control data, in order to remove biases possibly induced by the next generation sequencing laboratory setup both in control and patient data.

Abstract: Methods and systems for content distribution and management are presented. A transaction flow for conducting different stages of a transaction is determined in response to a request for the transaction from an application executable at a user device. The transaction flow includes a sequence of content pages to be displayed within a graphical user interface (GUI) of the application over the different stages of the transaction. The content associated with a tagged UI element of at least one content page is identified. The content is validated for the tagged UI element of the at least one content page, based on a software and hardware configuration of the user device. The validated content is provided via a network to the application at the user device to be displayable with the tagged UI element on the at least one content page of the transaction flow during a corresponding stage of the transaction.

Abstract: The present disclosure relates to an apparatus and a method for a real-time clock (RTC) module of a system-on-chip (SoC), and provides an apparatus for powering battery-powered RTC module of an SoC. The apparatus is integrated in the RTC module and comprises: a first regulator stage comprising one or more regulators, wherein the first regulator stage is configured to provide a core power supply voltage (VDD_CORE) on the basis of battery output voltage (VDD_BAT); and a crystal oscillator I/O unit, the crystal oscillator I/O unit being powered by the core power supply voltage (VDD_CORE) and an I/O power supply voltage (VDD_IO), wherein the apparatus directly provides the battery output voltage (VDD_BAT) as the I/O power supply voltage (VDD_IO).

Abstract: A genomic data analyzer system method to analyze next generation sequencing genomic data from a sourcing laboratory. The method includes receiving, with a processor, a next generation sequencing analysis request from a sourcing laboratory, the next generation sequencing request comprising at least a raw next generation sequencing data file and the sourcing laboratory identification; identifying, with a processor, a first set of characteristics associated with the next generation sequencing analysis request, the first set of characteristics comprising at least a target enrichment technology identifier, a sequencing technology identifier, and a genomic context identifier; configuring, with a processor, a data alignment module to align the input raw sequencing data file in accordance with at least one characteristic of said first set of characteristics; and aligning, with the data alignment module processor, the input sequencing data to a genomic sequence.

Abstract: Methods and systems for content distribution and management are presented. A transaction flow for conducting different stages of a transaction is determined in response to a request for the transaction from an application executable at a user device. The transaction flow includes a sequence of content pages to be displayed within a graphical user interface (GUI) of the application over the different stages of the transaction. The content associated with a tagged UI element of at least one content page is identified. The content is validated for the tagged UI element of the at least one content page, based on a software and hardware configuration of the user device. The validated content is provided via a network to the application at the user device to be displayable with the tagged UI element on the at least one content page of the transaction flow during a corresponding stage of the transaction.

Abstract: Techniques are disclosed relating to using machine learning techniques to predict storage configurations for historical data. In some embodiments, a computer system stores representations of historical data according to a current set of storage parameters. The representations may include snapshots of historical data in a data repository at different points in time. The computer system may receive queries for historical data specifying points in time from which to retrieve the historical data. In some embodiments, the computer system responds to the queries using the stored representations and determines performance metrics for the responses. In some embodiments, the computer system trains a machine learning model using the performance metrics. Based on output of the trained model, the computer system updates the current set of storage parameters.

Abstract: Systems and methods for model evaluation. A model is evaluated by performing a decomposition process for a model output, relative to a baseline input data set.

Abstract: A genomic data analyzer may be configured to detect and characterize, with a variant calling module, genomic variant scenarios in sequencing reads from an enriched patient genomic sample comprising a combination of a first repeat pattern and a second repeat pattern, such as repeats of homopolymer (single nucleotide) and/or heteropolymer (multiple nucleotide) basic motifs. The variant calling module may estimate the probability distribution of the length of the first repeat pattern and the probability distribution of the length of the second repeat pattern by comparing the distribution of the repeat pattern length measurements in patient data to the distribution of the repeat pattern length measurements in control data, in order to remove biases possibly induced by the next generation sequencing laboratory setup both in control and patient data.

Abstract: Disclosed herein is a hybrid inorganic-organic light emitting device that can include a cathode; an anode; at least one organic layer disposed between the cathode and the anode, wherein the at least one organic layer comprises an emissive material; at least one additional layer selected from the group consisting of an electron injection layer, an electron transport layer, and a hole blocking layer; wherein the at least one additional layer is disposed between the cathode and the at least one organic layer; and wherein the at least one additional layer comprises at least one metal oxide. Also disclosed are consumer products comprising this hybrid inorganic-organic light emitting device.

Abstract: Systems and methods for model evaluation. A model is evaluated by performing a decomposition process for a model output, relative to a baseline input data set.

Abstract: Systems and methods for model evaluation. A protected class model that satisfies an accuracy threshold is built by using: data sets for use by a modeling system being evaluated, and protected class membership information for each data set. A target for the protected class model is a protected class membership variable indicating membership in a protected class. Each predictor of the protected class model is a predictor of an evaluated model used by the modeling system. A target of the evaluated model is different from the target of the protected class model. Each predictor is a set of one or more variables of the data sets. For each predictor of the protected class model, a protected class model impact ranking value and a modeling system impact ranking value are determined.

Abstract: Systems and methods for model evaluation. A protected class model that satisfies an accuracy threshold is built by using: data sets for use by a modeling system being evaluated, and protected class membership information for each data set. A target for the protected class model is a protected class membership variable indicating membership in a protected class. Each predictor of the protected class model is a predictor of an evaluated model used by the modeling system. A target of the evaluated model is different from the target of the protected class model. Each predictor is a set of one or more variables of the data sets. For each predictor of the protected class model, a protected class model impact ranking value and a modeling system impact ranking value are determined.

Abstract: A genomic data analyzer system method to analyze next generation sequencing genomic data from a sourcing laboratory. The method includes receiving, with a processor, a next generation sequencing analysis request from a sourcing laboratory, the next generation sequencing request comprising at least a raw next generation sequencing data file and the sourcing laboratory identification; identifying, with a processor, a first set of characteristics associated with the next generation sequencing analysis request, the first set of characteristics comprising at least a target enrichment technology identifier, a sequencing technology identifier, and a genomic context identifier; configuring, with a processor, a data alignment module to align the input raw sequencing data file in accordance with at least one characteristic of said first set of characteristics; and aligning, with the data alignment module processor, the input sequencing data to a genomic sequence.

Abstract: An improved constrained layer vibration dampening patch for use directly on substrates with rust protective coatings. The improved constrained layer vibration dampening patch includes a constraining layer, a dampening layer and a release liner. The improved constrained layer vibration dampening patch includes a dampening layer with about 10 to about 15 weight percent of a butyl rubber composition; about 1 to about 5 weight percent of a tackifier; about 20 to about 25 weight percent of a plasticizer; about 60 to about 65 weight percent of filler; and about 0.01 to 1 weight percent of colorant, wherein the composition is substantially free of a curing agent, and wherein the composition is free of any ethylene copolymers.

Abstract: Disclosed herein is a virtual pedestrian traffic light (VPTL) system and method that provides an infrastructure-free way to provide the right-of-way to pedestrians at intersections. The invention is most effective when integrated with existing virtual traffic light (VTL) systems to provide complete infrastructure-free control of traffic at intersections.

Abstract: Techniques are disclosed relating to data validation using encode values. In various embodiments, a data monitoring system may retrieve a plurality of datasets from a live database at a non-production datacenter. The data monitoring system may perform encoding operations on one or more of the plurality of datasets to generate encode values that correspond to the plurality of datasets. The data monitoring system may then retrieve an updated dataset, for example from an experimental database at the non-production datacenter, and perform validation operations to validate one or more characteristics of the updated dataset. For example, in some embodiments, the data monitoring system may retrieve the encode values corresponding to the plurality of datasets and use the encode values to validate the updated dataset. The data monitoring system may then generate a validation output indicative of a result of the validation operations.