Abstract: Example implementations relate to management of clusters. A cluster recovery manager may comprise a processing resource; and a memory resource storing machine-readable instructions to cause the processing resource to: adjust, based on a monitored degree of performance of a controller of a controller cluster, a state of the controller to one of a first state and a second state; and reassign a corresponding portion of a plurality of APs managed by the controller periodically to a different controller until the state of the controller is determined to be adjustable to the first state. The reassignment can be triggered responsive to a state adjustment of the controller from the first state to the second state.

Abstract: Described herein is a system for device virtualization and simulation of the behaviour of a system of things for testing IoT applications. The aforementioned system comprises a modelling engine, a test suite designer, a simulation engine, and a reporting engine. The modelling engine defines the attributes, data transfer protocols and normal data behaviour of any physical device, and for defining virtual devices that can co-exist with actual devices and can be used to simulate both the things themselves as well as the gateway and the network. The test suite designer defines the device data behaviour under various test conditions. The simulation engine generates test data streams for various test scenarios as required by the software tester. The reporting engine generates various types of test reports.

Abstract: The present disclosure provides an experimentation framework for a computational environment in a distributed system. A machine-learning model may be created that predicts at least one output produced by the computational environment based on at least one input provided to the computational environment. During an evaluation time period that is subsequent to at least one modification being made to the computational environment, at least one modified output produced by the computational environment may be determined. The machine-learning model may be used to calculate at least one predicted output that would have been produced by the computational environment during the evaluation time period if the at least one modification had not been made. A determination may also be made about how the at least one modification affected the computational environment based on a comparison of the at least one modified output and the at least one predicted output.

Abstract: Provided are a method and a ultrasound imaging apparatus for managing growth of follicles in an ovary where the method comprises detecting, by a signal processor, the follicles and a plurality of parameters associated with each follicle in a three dimensional (3D) ultra sound image, tracking the detected follicles in a longitudinal scan, monitoring a rate of growth of each follicle based on the detected parameters in the longitudinal scan, determining a dosage of hormone for stimulating the ovary based on the rate of growth of each follicle, and generating a report and a nomograph based on the rate of growth of each follicle.

Abstract: The invention features compositions and methods for the prevention or treatment of one or more strains of Chikungunya virus, as well as other alphavirus-mediated diseases.

Abstract: Disclosed are systems and methods providing for automation of enterprise and other processes. The systems and methods involve receiving historical process data, applying process mining techniques and generating process models. The process models can be used to identify automation candidates. One or more automation tools designed and configured for the identified automation candidates can be deployed to automate or to increase the efficiency of the process. In one embodiment, automation tools include artificial intelligence networks, which can label a set of input data according to determined or preconfigured domain-specific labels. An aggregator module can combine the similarly labeled data as part of automating a process or to increase the efficiency of a process.

Abstract: Novel images may be generated using an image generator implemented on a processor. The image generator may receive as input neural features selected from a neural texture atlas. The image generator may also receive as input one or more position guides identifying position information for a plurality of input image pixels. The novel images may be evaluated using an image discriminator to determine a plurality of optimization values by comparing each of the plurality of novel images with a respective one of a corresponding plurality of input images. Each of the novel images may be generated from a respective camera pose relative to an object identical to that of the respective one of the corresponding plurality of input images. The image generator and the neural features may be updated based on the optimization values and stored on a storage device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing inputs using a neural network system that includes one or more pre-normalized layers or one or more regularization normalization layers.

Abstract: An electric vehicle charging station network includes multiple electric vehicle charging stations belonging to multiple charging station hosts. Each host controls one or more charging stations. A charging station network server provides an interface that allows each of the hosts to define one or more pricing specifications for charging electric vehicles on one or more of their electric vehicle charging stations belonging to that host. The pricing specifications are applied to the charging stations such that a cost of charging electric vehicles using those charging stations is calculated according to the pricing specifications.

Abstract: Described herein is a system for device virtualization and simulation of the behaviour of a system of things for testing IoT applications. The aforementioned system comprises a modelling engine, a test suite designer, a simulation engine, and a reporting engine. The modelling engine defines the attributes, data transfer protocols and normal data behaviour of any physical device, and for defining virtual devices that can co-exist with actual devices and can be used to simulate both the things themselves as well as the gateway and the network. The test suite designer defines the device data behaviour under various test conditions. The simulation engine generates test data streams for various test scenarios as required by the software tester. The reporting engine generates various types of test reports.

Abstract: Methods, systems and computer-program products are directed to a Privacy Engine for evaluating initial electronic documents to identify document content categories for portions of content within the electronic documents, with respect to extracted document structures and document positions, that may include privacy information for possible redaction via visual modification. The Privacy Engine builds a content profile based on detecting information at respective portions of electronic document content that indicate one or more pre-defined categories and/or sub-categories. For each respective portion of electronic document content, the Privacy Engine applies a machine learning model that corresponds with the indicated category (or categories and sub-categories) to determine a probability value of whether the respective portion of content includes data considered likely to be privacy information.

Abstract: The invention features modified alphavirus or flavivirus virus-like particles (VLPs). The invention provides methods, compositions, and kits featuring the modified VLPs. The invention also features methods for enhancing production of modified VLPs for use in the prevention or treatment of alphavirus and flavivirus-mediated diseases. The invention also provides methods for delivering agents to a cell using the modified VLPs.

Abstract: Systems and methods include extraction of a plurality of clauses from each of a plurality of electronic documents, determination, for each of the plurality of clauses and using a machine-learned algorithm, an associated clause type, identification of one or more data privacy protection entities present within each of one or more of the plurality of clauses, determination, for each of the one or more of the plurality of clauses, of a weighted frequency for each of the one or more data privacy protection entities present within the clause based on a type of the data privacy protection entity, determination of a weighted frequency associated with each of the plurality of electronic documents based on the determined weighted frequency for each of the one or more data privacy protection entities present within clauses of the plurality of electronic documents, and storage of an identifier of each of the plurality of electronic documents in association with a respective determined weighted frequency.

Abstract: A traverse mechanism for measuring flow characteristics in a fluid flow path is provided. The traverse mechanism includes a rotating member configured to rotate 360 degrees about an axis in a circumferential direction. The traverse mechanism also includes a probe coupled to the rotating member. The probe extends in a radial direction relative to the axis through a portion the rotating member into the fluid flow path. Rotation of the rotating member enables the probe to map or measure one or more flow characteristic in the fluid flow path 360 degrees about the axis in the circumferential direction.

Abstract: An electric vehicle charging station network includes multiple electric vehicle charging stations belonging to multiple charging station hosts. Each host controls one or more charging stations. A charging station network server provides an interface that allows each of the hosts to define one or more pricing specifications for charging electric vehicles on one or more of their electric vehicle charging stations belonging to that host. The pricing specifications are applied to the charging stations such that a cost of charging electric vehicles using those charging stations is calculated according to the pricing specifications.

Abstract: The present invention relates generally to systems for measuring pH. In particular, the present invention relates to a continuous flow system having one or more solid state pH sensors positioned within a fluid pathway of the system to provide continuous pH measurement.

Abstract: Disclosed are systems and methods providing for automation of enterprise and other processes. The systems and methods involve receiving historical process data, applying process mining techniques and generating process models. The process models can be used to identify automation candidates. One or more automation tools designed and configured for the identified automation candidates can be deployed to automate or to increase the efficiency of the process. In one embodiment, automation tools include artificial intelligence networks, which can label a set of input data according to determined or preconfigured domain-specific labels. An aggregator module can combine the similarly labeled data as part of automating a process or to increase the efficiency of a process.

Abstract: Methods, systems and computer-program products are directed to a Privacy Engine for evaluating initial electronic documents to identify document content categories for portions of content within the electronic documents, with respect to extracted document structures and document positions, that may include privacy information for possible redaction via visual modification. The Privacy Engine builds a content profile based on detecting information at respective portions of electronic document content that indicate one or more pre-defined categories and/or sub-categories. For each respective portion of electronic document content, the Privacy Engine applies a machine learning model that corresponds with the indicated category (or categories and sub-categories) to determine a probability value of whether the respective portion of content includes data considered likely to be privacy information.

Abstract: The present invention relates to: an indole derivative, which is a novel cell mitosis inhibitor; a stereoisomer thereof or a pharmaceutically acceptable salt thereof; a use thereof as a therapeutic agent; a composition containing the same and a treatment method using the composition; and a preparation method therefor. According to the present invention, the indole derivative, the stereoisomer thereof or the pharmaceutically acceptable salt thereof, inhibits the tubulin polymerization during mitosis so as to induce apoptosis, and has an excellent anti-cancer effect also in cancer cells having multiple drug resistance.

Abstract: The invention features modified alphavirus or flavivirus virus-like particles (VLPs). The invention provides methods, compositions, and kits featuring the modified VLPs. The invention also features methods for enhancing production of modified VLPs for use in the prevention or treatment of alphavirus and flavivirus-mediated diseases. The invention also provides methods for delivering agents to a cell using the modified VLPs.