Abstract: A polymer composition comprising a blend of two or more high density polyethylenes: (A) a first high density polyethylene having a density of at least 940 kg/m3 and an MFR2 of 0.25 g/10 min or less; and (B) a second high density polyethylene having a density of at least 940 kg/m3 and an MFR2 of 1.0 g/10 min to 20 g/10 min; wherein said polymer composition has an MFR2 of 0.25 to 15 g/10 min and wherein the components (A) and (B) combined form at least 91 wt % of said polymer composition.

Abstract: Some embodiments provide a novel method for collecting and reporting attributes of data flows associated with machines executing on a plurality of host computers to an analysis appliance and providing visual representations of the data to a user. Some embodiments provide a visual representation of the collected data that allows a user to select a set of machines and flows and initiate recommendation generation based on the selected machines and flows. The recommendation generation, in some embodiments, includes identifying flows for which rules have not been defined and filtering the identified rules to remove flows for which rules should not be defined. Some embodiments use the identified rues to identify services and groups associated with the rules and generate recommendations for rules, groups and services based on the identified flows, groups and services. The recommendations, in some embodiments, are implemented as a single PATCH API.

Abstract: Based on a test step execution order for a test case such as one against a database system, a specific test step to be executed next is identified. In response to identifying the specific test step, a test step message is published to indicate that the specific test step is to be executed next, which causes a subscriber of the test step message to execute the specific test step. In response to determining that the specific test step has ended, a dependent test step message is published accordingly to cause a subscriber of the dependent test step message to perform: determining whether a next test step should be executed following the specific test step in the test step execution order; in response to determining that a next test step should be executed, the foregoing may be repeated by using the next test step in place of the specific test step.

Abstract: An inertial vortex particle scrubber includes a housing having an inlet guide, twin vortex chambers and an outlet. A particle-laden air stream is accelerated as it passes through the inlet guide into the twin vortex chambers where particles are displaced by centrifugal forces toward a wall of the twin vortex chambers. A relatively particle-free air stream is then discharged from the outlet.

Abstract: Disclosed herein are single-use integral indicators and methods and systems for employing the same. Such indicators and their uses are directed toward identifying and rendering inoperable single-procedure medical devices after their intended—and only—use.

Abstract: Vehicle environment data about operation of a plurality of vehicles and vehicle component data for a vehicle component is input into a machine learning program to obtain a transfer function that correlates vehicle environment data to vehicle component data within a specified range of vehicle component parameters. A first event is identified by determining that a datum in the vehicle component data is outside the specified range. A predictive damage model of a vehicle component is updated based on the first event. A virtual parameter of a component model is adjusted based on output from the predictive damage model.

Abstract: Disclosed here are the methods of using one or more multiple charged cationic compounds in a corrosion control composition to reduce corrosion of metal surfaces in a water system. The multiple charged cationic compounds are derived from polyamines through a ring-opening reaction with an epoxide or two reactions: an aza-Michael addition with an activated olefin having a cation group and a ring-opening reaction with an epoxide. The disclosed methods or compositions are found to be effective than those methods or compositions including commonly used corrosion inhibitors for water systems.

Abstract: A mobile computing device includes a memory and a processor cooperating with the memory to operate a first native SaaS application requiring authentication to access a first SaaS service, and operate a virtual private network (VPN) application. The VPN application is to store an identity provider (IDP) authentication token based on authentication of the VPN application with an identity provider, and intercept traffic from the first SaaS service to the first native SaaS application. The intercepted traffic is modified by inserting the IDP authentication token to be presented to the identity provider without requiring the user to login for authentication, and with the identity provider providing a first SaaS application access token to the VPN application upon authentication.

Abstract: A microservice node can include a network real-time kinematics (RTK) device to receive raw satellite data associated with a physical reference station via a first message in a first message queue, to receive static virtual location data associated with a static virtual reference station (VRS) agent, to generate corrections data for the static VRS agent based on the raw satellite data and the static virtual location data, and to transmit the corrections data to the static VRS agent. The microservice node can include the static VRS agent to publish the corrections data in a second message in a second message queue. The microservice node can include an adapter device to determine that the client device is located within a geographic area associated with the static VRS agent and to transmit the corrections data from the second message queue to the client device.

Abstract: Technology for providing data to a processing unit is disclosed. A computer processor may be divided into a master processing unit and consumer processing units. The master processing unit at least partially decodes a machine instruction and determines whether data is needed to execute the machine instruction. The master processing unit sends a request to memory for the data. The request may indicate that the data is to be sent from the memory to a consumer processing unit. The data sent by the memory in response to the request may be stored in local read storage that is close to the consumer processing unit for fast access. The master processing unit may also provide the machine instruction to the consumer processing unit. The consumer processing unit may access the data from the local read storage and execute the machine instruction based on the accessed data.

Abstract: Disclosed herein is a method and system for establishing secure communication between a terminal device and a target system. The method comprises validating the terminal device and the target system based on a communication request received from the terminal device. Upon validation, the terminal device is signaled to generate a Quick Response (QR) code corresponding to the communication request. Subsequently, the QR code generated at the terminal device is processed using a predetermined verification interface configured in a user device for establishing the secure communication between the terminal device and the target system. In an embodiment, the present disclosure helps users in completing a transaction based on the QR code generated at the terminal device, and thereby eliminates requirement of using a credit card/debit card and the like for completing the transaction.

Abstract: Techniques are provided for creating a unified data model for entities in components of an access management system. A method can include identifying an entity of a component, identifying a first attribute metadata for the entity, creating a data type for the first attribute metadata of the entity, defining the entity in accordance with the created data type, and storing the defined entity in a unified storage.

Abstract: A device determines, based on location verification data that has been received, that the device is indoors at a first geographic location. The device determines a base measured barometric pressure, and an initial floor that the device is located on in a structure that includes the first geographic location. The device determines an adjusted measured barometric pressure for a second geographic location based on a second measured barometric pressure for the second geographic location and one or more reference barometric pressures that are associated with a reference location. The device determines an altitude for the second geographic location based on the base measured barometric pressure and the adjusted measured barometric pressures. The device causes a server to predict a floor that the device is located on at the second geographic location and to provide floor data that identifies the floor to an interface that is accessible to the device.

Abstract: Embodiments described herein provide an optimal communication channel recommendation engine by assessing whether the environment the customer is situated in is conducive to the channel selected by the customer. Specifically, the optimal channel recommendation engine obtains data artifacts indicative of ambient noise, motion, customer sentiment, network quality, customer focus, and/or the like to assess quality of the environment and recommend an optimal channel for the communication between the customer and the call agent. With the recommendation to switch to a different channel, the client component resumes communication with the new channel and retains the context of the interaction.

Abstract: A controller for augmenting reality in a three-dimensional (3D) space includes a memory that stores instructions; and a processor that executes the instructions. The controller controls a display system configured to present virtual objects in the 3D space. When executed by the processor, the instructions cause the controller to perform a process. The process includes detecting a first action by a user relative to an object or a virtual object in the 3D space. The process also includes selectively enabling or disabling a virtual operation member based on detecting the first action between the user and the object or virtual object in the 3D space. The virtual operational member is configured, when operated, to control operation of a machine in the 3D space.

Abstract: Tunneling Field Effect Transistors (TFETs) are promising devices in that they promise significant performance increase and energy consumption decrease due to a steeper subthreshold slope (for example, smaller sub-threshold swing). In various embodiments, vertical fin-based TFETs can be fabricated in trenches, for example, silicon trenches. In another embodiment, vertical TFETs can be used on different material systems acting as a substrate and/or trenches (for example, Si, Ge, III-V semiconductors, GaN, and the like). In one embodiment, the tunneling direction in the channel of the vertical TFET can be perpendicular to the Si substrates. In one embodiment, this can be different than the tunneling direction in the channel of lateral TFETs.

Abstract: A driving support apparatus for supporting the driving of a vehicle includes: a boundary estimation part for outputting magnetic waves or ultrasonic waves to the periphery of a vehicle, and for estimating the boundary of a roadway based on reflected waves which are detected by a sensor for detecting the reflected waves; a detection part for detecting a mobile body based on the reflected waves which are detected by the sensor; and a region estimation part for estimating a progress region of the object vehicle which is moving in an adjacent lane when this detection part detects the mobile body generated by multiplexed reflections from an object vehicle which is actually moving in the adjacent lane.

Abstract: Performance of Automatic Speech Recognition (ASR) for robustness against real world noises and channel distortions is critical. Embodiments herein provide method and system for generating synthetic multi-conditioned data sets for additive noise and channel distortion for training multi-conditioned acoustic models for robust ASR. The method provides a generative noise model generating plurality of types of noise signals for additive noise based on weighted linear combination of plurality of noise basis signals and channel distortion based on estimated channel responses. The generative noise model is a parametric model, wherein basis function selection, number of basis functions to be combined linearly and weightages to be applied to the combinations is tunable, thereby enabling generation of wide variety of noise signals. Further, the noise signals are added to set of training speech utterances under set of constraints providing the multi-conditioned data sets, imitating real world effects.

Abstract: Disclosed are ethylene polymer compositions containing a homogeneously-branched first ethylene polymer component and 15-35 wt. % of a homogeneously-branched second ethylene polymer component of higher density than the first ethylene polymer component. The ethylene polymer composition can be characterized by a density from 0.912 to 0.925 g/cm3, a ratio of Mw/Mn from 2 to 5, a melt index less than 2 g/10 min, and a CY-a parameter at 190° C. from 0.35 to 0.7. These polymer compositions have the excellent dart impact strength and optical properties of a metallocene-catalyzed LLDPE, but with improved machine direction tear resistance, and can be used in blown film and other end-use applications. Further, methods for improving film Elmendorf tear strength also are described.

Abstract: Embodiments relate to personalized low latency communications. A method may include receiving a description of content of a message, receiving recipient data corresponding to at least two possible recipients within a population of possible recipients, and selecting a relevant subpopulation of the population. The selecting may include, for each of the at least two possible recipients, ranking a strength of an indirect relationship between the description and the recipient data. The indirect relationship may be based on the description, the recipient data and at least one additional data source. The selecting may also include, for each of the at least two possible recipients, adding a possible recipient to the relevant subpopulation based on the ranking of the indirect relationship associated with the possible recipient. The method may further include initiating a two-way communication channel between a sender of the message and the relevant subpopulation.