Abstract: Provided are a method, system, and computer program product in which a storage volume is configured to be maintained in a replicated relationship between two storage systems. A reversing is performed of a switch of a direction of replication for a replicated storage volume, in response to determining that host activity does not sufficiently match a pre-switch host activity, where the host activity does not sufficiently match the pre-switch host activity if a predetermined set of criteria is not met.

Abstract: In one aspect, the invention relates to an immunogenic composition comprising modified O-polysaccharide molecules derived from E. coli lipopolysaccharides and conjugates thereof. Multivalent vaccines may be prepared by combining two or more monovalent immunogenic compositions for different E. coli serotypes. In one embodiment, the modified O-polysaccharide molecules are produced by a recombinant bacterium that includes a wzz gene.

Abstract: A method to mitigate an attack initiated by a malicious actor by migration of the attacked process is provided. The method includes monitoring a process being executed from a first computing location on a computing device for a trigger indicating a potential attack and detecting the trigger indicating the potential attack. Responsive to detecting the trigger indicating the potential attack, initiating an attack countermeasure by migrating the process to execute in a second computing location isolated from the first computing location, thereby breaking access to information at the first computing location. A computing device is also provided that includes a processor, a memory, and instructions stored on the memory that when executed by the processor direct the computing device to monitor a process being executed from a first computing location on the computing device for a trigger indicating a potential attack and detect the trigger indicating the potential attack.

Abstract: A light emitting element includes a first electrode, a second electrode on the first electrode, and at least one functional layer between the first electrode and the second electrode. The at least one functional layer includes a first compound represented by Formula 1.

Abstract: A method of malware detection includes performing, by a second device of a plurality of devices on a network, a fuzzy matching between a second sequence of events occurring at the second device and a first sequence of captured events that occurred at a first device of the plurality of devices on the network; determining, by the second device, that a result of the fuzzy matching reaches a first threshold; and in response to determining that the result of the fuzzy matching reaches the first threshold, initiating a detailed instrumentation at the second device. The method can further include determining, by the second device, that a first condition is satisfied; and in response to determining that the first condition is satisfied: generating a second malware behavior package including information from the detailed instrumentation; and communicating the second malware behavior package over the network.

Abstract: The present invention relates to new immunogenic compositions comprising conjugated Streptococcus pneumoniae capsular saccharide antigens (glycoconjugates), kits comprising said immunogenic compositions and uses thereof. Immunogenic compositions of the present invention will typically comprise at least one glycoconjugate from a S. pneumoniae serotype not found in PREVNAR®, SYNFLORIX® and/or PREVNAR 13®. The invention also relates to vaccination of human subjects, in particular infants and elderly, against pneumococcal infections using said novel immunogenic compositions.

Abstract: An embodiment includes performing a dedicated training process on a non-polynomial neural network resulting in a trained polynomial neural network, where the training process includes performing a plurality of training iterations on the neural network, and performing, between the training iterations, loss processing that (i) minimizes a loss of the neural network and (ii) reduces a range of values to a non-polynomial layer (NPL) of the neural network. The embodiment estimates a range of input values to the NPL of the thus trained neural network. The embodiment forms a replacement layer for the NPL, where the replacement layer comprises a polynomial approximation of an operation performed by the NPL. The embodiment also generates a revised neural network by replacing the NPL of the trained neural network with the replacement layer.

Abstract: A system for navigating a vehicle may include a processor programmed to receive an output provided by a vehicle sensor, and determine a navigational maneuver for the vehicle along a road segment based on the output provided by the vehicle sensor. The processor may also be programmed to determine a yaw rate command and a speed command for implementing the navigational maneuver. The processor may also be programmed to determine a first vehicle steering angle based on the yaw rate and speed commands using a first control subsystem, and determine a second vehicle steering angle based on the yaw rate and speed commands using a second control subsystem. The processor may further be programmed to determine an overall steering command for the vehicle based on a combination of the first and second steering angles, and cause an actuator associated with the vehicle to implement the overall steering command.

Abstract: A method, computer system, and a computer program product for generating a conversational bot for an application programming interface (API) is provided. The present invention may include parsing an API schema. The present invention may include generating sentences for the conversational bot from the parsed API schema. The present invention may include constructing the conversational bot by training a deep learning model. The present invention may include receiving a natural language expression from a user. The present invention may include determining whether the natural language expression is enough to activate the bot.

Abstract: An example method may include receiving, via a graphical user interface, credentials for connecting to a data store containing a plurality of datasets and connecting to the data store using the credentials. A selection of a target metric to predict using the machine learning model can be received, via the graphical user interface, and datasets included in the plurality of datasets that correlate to the target metric can be identified by analyzing the datasets to identify an association between the target metric and data contained within the datasets. The datasets can be input to the machine learning model to train the machine learning model to generate predictions of the target metric, and the machine learning model can be deployed to computing resources in a service provider environment to generate predictions associated with the target metric.

Abstract: Systems, apparatus, and methods that provide a flexible current sensor capable of measuring current flowing through a conductor without contacting the conductor. In various implementations, a flexible current sensor may have a comparable size, shape, and appearance as a flexible loop of a Rogowski coil, except the current sensor described herein can sense direct current (DC). The current sensors of the present disclosure utilize a novel open loop degaussing mechanism to provide accurate DC current measurements in a conductor. To achieve this, a current sensor includes an AC degaussing coil wrapped around a magnetic core. A driver circuit drives an AC degaussing signal in the AC degaussing core, which operates to reset or degauss the magnetic core, thereby providing more accurate current measurements.

Abstract: One example image processing device is provided. The example image processing device can include at least one processor and one or more memories coupled to the at least one processor and storing programming instructions for execution by the at least one processor to estimate noise in an image, the image being represented by a set of pixels and each pixel of the set of pixels having a value associated with it on each of one or more channels, where estimating the noise comprises processing, using a first trained model that detects stochastic noise, data derived from the image to form a first noise estimate, processing, using a second trained model that detects extreme pixel values, data derived from the image to form a second noise estimate, and combining the first and second noise estimates to form an aggregated noise estimate.

Abstract: An apparatus and method are described for providing a trusted execution environment. The apparatus comprises processing circuitry to execute program code, and interrupt controller circuitry, responsive to receipt of one or more interrupt requests, to select a given interrupt request from amongst the one or more interrupt requests, and to issue an interrupt signal to the processing circuitry identifying a given interrupt service routine providing program code to be executed by the processing circuitry to service the given interrupt request. The interrupt controller circuitry is responsive to the given interrupt request being a trusted execution environment (TEE) interrupt request, to issue the interrupt signal to identify as the given interrupt service routine a TEE interrupt service routine, and to inhibit issuance of any further interrupt signal until the TEE interrupt service routine has been executed by the processing circuitry.

Abstract: Sweetener concentrates, sweetener formulations, and sweetened food formulations and products, the sweetener formulation comprising: (a) sweetener particles containing a first sweetener, and (b) crystalline sugar particles; wherein at least one protein is disposed within the sweetener particles; wherein a first weight ratio of the at least one protein to the first sweetener is within a range of 0.01:1 to 20:1; and wherein, within the sweet formulation, at least 40% of the total amount of sweetener, by weight, is crystalline.

Abstract: Embodiments provide a light-emitting device including a heterocyclic compound, an electronic apparatus including the light-emitting device. The light-emitting device includes a first electrode, a second electrode facing the first electrode, and an interlayer between the first electrode and the second electrode and including an emission layer.

Abstract: A wearable article, system, and methods may include a structure configured to enclose a human body part. A first antenna, positioned with respect to the structure, is tuned to communicate, while the wearable article is being worn, according to a first wireless communication modality with a first external antenna. A second antenna, positioned with respect to the structure, is tuned to communicate according to a second wireless communication modality with a second external antenna different than the first external antenna, the second communication modality being different than the first communication modality. A transceiver, coupled to at least one of the first antenna and the second antenna, is configured to communicate via one of the first and second antennas based, at least in part, on the one of the first and second antennas coming into wireless communication contact with a corresponding one of the first and second external antennas.

Abstract: Methods and apparatus to manage a dynamic deployment environment including one or more virtual machines.

Abstract: The present invention relates to new immunogenic compositions comprising conjugated Streptococcus pneumoniae capsular saccharide antigens (glycoconjugates), kits comprising said immunogenic compositions and uses thereof. Immunogenic compositions of the present invention will typically comprise at least one glycoconjugate from a S. pneumoniae serotype not found in PREVNAR®, SYNFLORIX® and/or PREVNAR 13®. The invention also relates to vaccination of human subjects, in particular infants and elderly, against pneumococcal infections using said novel immunogenic compositions.

Abstract: A liquid hand dishwashing detergent composition includes from about 5% to about 50% by weight of the total composition of a surfactant system. The surfactant system includes anionic surfactant. The anionic surfactant includes alkyl sulfated anionic surfactant and sulfonated anionic surfactant. The anionic surfactant includes at least about 50% by weight of the anionic surfactant of alkyl sulfated anionic surfactant; and the alkyl sulfated anionic surfactant and the alkyl sulfonated anionic surfactant are present in a weight ratio of from about 1:1 to about 8:1. The composition further includes a carboxylic acid and/or a salt thereof; and the composition has a pH of less than about 5.0, measured as an about 10% solution in demineralized water at about 20° C.

Abstract: Technologies are provided for a distributed spoken language interface for speech control of multiple apparatuses. In some aspects, a first apparatus can receive an audio signal representative of speech. The first apparatus can detect, based on applying a keyphrase recognition model to the speech, a keyphrase. The keyphrase can include a first string of characters defining an identifier corresponding to at least one second apparatus and also includes a second string of characters defining a command. The first apparatus can cause, based on the identifier, a communication unit integrated in the first apparatus to send the keyphrase to the at least one second apparatus. The at least one second apparatus can receive the keyphrase, and can cause one or more components to execute the command.