Abstract: A training set that includes at least two data types corresponding to operations and control of a manufacturing process is obtained. A deep learning processor is trained to predict expected characteristics of output control signals that correspond with one or more corresponding input operating instructions. A first input operating instruction is received from a first signal splitter. A first output control signal is received from a second signal splitter. The deep learning processor correlates the first input operating instruction and the first output control signal. Based on the correlating, the deep learning processor determines that the first output control signal is not within a range of expected values based on the first input operating instruction. Responsive to the determining, an indication of an anomalous activity is provided as a result of detection of the anomalous activity in the manufacturing process.

Abstract: A humidification system can include a heater base, a humidification chamber, and a breathing circuit. A cartridge can be removably coupled to the heater base. The cartridge can include various sensors, probes, sensor wire connectors, heater wire connectors, and/or other features. The cartridge can include features configured to mate with corresponding features on the humidification chamber and the heater base. The cartridge includes a memory, such as an EEPROM, or other suitable storage device. When the cartridge is installed on the heater base, the memory is electrically connected to a processor and/or memory of the heater base. Various models of cartridges can be produced for use with different humidification chambers, breathing circuits, and/or therapies. A connector can be configured to couple an inspiratory conduit to an outlet port of the humidification chamber. The connector can provide a pneumatic connection to the outlet port and an electrical connection to the cartridge.

Abstract: Mobile management method, system and client. Method includes receiving a DNS query for a host name from an application on client; retrieving reputation data associated with host name from a local cache on client; and determining a policy based on host name and the reputation data. Based on determined policy for the host name, blocking attempted network flows to a host corresponding to host name to produce blocked attempted network flows. Method also includes sending attempted network flow metadata related to the blocked attempted network flows to a collector on client; transmitting the attempted network flow metadata from the collector to a VPN server pool via a VPN tunnel; and producing an anomaly report from the transmitted attempted network flow metadata. The anomaly report includes at least one of anomalies, cohorts, trends, location boundaries, detected network security issues, detected compromised clients and/or optimized network usage.

Abstract: Systems and methods for remotely verifying an identity of a user to open an account are provided. A method includes: receiving information relating to an identity of a first user from a first computing device associated with a second user, the information comprising contact information for the first user; sending a notification to a second computing device associated with the first user based on the information received from the first computing device; in response to receiving an affirmative reply from the second computing device, verifying the identity of the first user; and opening an account for the first user based on the identity of the first user being verified by receiving the affirmative reply from the second computing device.

Abstract: A method for network flow metadata processing at a network packet broker is described herein. The method includes, receiving, as input at a network packet broker, network traffic flow data, aggregating the network traffic flow data over a predefined time period to generate Internet protocol (IP) flow feature vectors containing metadata parameters associated with one or more particular endpoint devices, and providing the IP flow feature vectors to a machine learning element in the network packet broker. The method further includes identifying, by the machine learning element, anomalies existing in the metadata parameters included in the IP flow feature vectors, and automatically configuring one or more filter elements in the network packet broker in response to detecting the identified anomalies of the IP flow feature vectors.

Abstract: Ionic liquids that can be used to solvate cyclic carbonate esters and halogenated analogues thereof are disclosed.

Abstract: A method of producing plant virus-like particles includes freeze drying an aqueous solution of plant virus particles to produce a substantially RNA-free plant virus-like particles.

Abstract: A simulated process is initiated. The simulated process includes generating, by an emulator, a control signal based on external inputs. The simulated process further includes processing, by a simulator, the control signal to generate simulated response data. The simulated process further includes generating, by a deep learning processor, expected behavioral pattern data based on the simulated response data. An actual process is initiated by initializing setpoints for a process station in a manufacturing system. The actual process includes generating, by the deep learning processor, actual behavioral pattern data based on actual process data from the at least one process station. The deep learning processor compares the expected behavioral pattern to the actual behavioral pattern. Based on the comparing, the deep learning processor determines that anomalous activity is present in the manufacturing system. Based on the anomalous activity being present, the deep learning processor initiates an alert protocol.

Abstract: Aspects of the disclosure provide for controlling an autonomous vehicle to enter a driveway. As an example, an instruction to pickup or drop off a passenger at a location may be received. It may be determined that the vehicle is arriving in a lane on an opposite side of a street as the location, the lane having a traffic direction opposite to a traffic direction of a lane adjacent to the location. A difficulty score to maneuver the vehicle to the lane adjacent to the location may be determined, and the difficulty score may be compared to a predetermined difficulty score. Based on the comparison, it may be determined to an available driveway on the same side of the street as the location. The vehicle may be controlled to enter the available driveway.

Abstract: An asset tracking system includes a tracking device associated with a mobile asset and a centralized device management platform. The tracking device is configured via a set of device configurations. The centralized device management platform includes one or more processors in communication with the tracking device and computer-readable memory encoded with instructions that, when executed, cause the system to receive location data corresponding to a location of the tracking device; evaluate the location data to identify a zone corresponding to a physical region that includes the location of the tracking device; compare an identified zone with a set of location-based rules to identify a rule associated with the identified zone; update the set of device configurations with a device configuration that is associated with an identified rule; and sync an updated set of device configurations to the tracking device to reconfigure the tracking device based on the identified rule.

Abstract: An asset tracking system includes a tracking device associated with a mobile asset and a centralized device management platform. The tracking device is configured via a set of device configurations. The centralized device management platform includes one or more processors in communication with the tracking device and computer-readable memory encoded with instructions that, when executed, cause the system to receive location data corresponding to a location of the tracking device; evaluate the location data to identify a zone corresponding to a physical region that includes the location of the tracking device; compare an identified zone with a set of location-based rules to identify a rule associated with the identified zone; update the set of device configurations with a device configuration that is associated with an identified rule; and sync an updated set of device configurations to the tracking device to reconfigure the tracking device based on the identified rule.

Abstract: A semiconductor device and a method of manufacturing the same are provided. The semiconductor device includes a first transistor, a first resistive random access memory (RRAM) resistor, and a second RRAM resistor. The first resistor includes a first resistive material layer, a first electrode shared by the second resistor, and a second electrode. The second resistor includes the first electrode, a second resistive material layer, and a third electrode. The first electrode is electrically coupled to the first transistor.

Abstract: A turbomachine component is provided. The turbomachine component formed from an additive manufacturing system. The additive manufacturing system defines an axial build direction, a radial direction, and a circumferential direction. The turbomachine component includes an exterior portion. The exterior portion includes a first end wall, a second end wall, and an outer band extending axially between the first end wall and the second end wall. The turbomachine component further includes an interior portion disposed within the exterior portion. The interior portion includes a self-breaking inner band extending axially between the first end wall and the second end wall. The self-breaking inner band includes a plurality of teeth disposed between the first end wall and the second end wall.

Abstract: Wax-based compositions for making barrier layers used in oral treatment devices are thermally stable when formed into a flat sheet or three-dimensional article to a temperature of at least 45° C. and are plastically deformable at room temperature (25° C.). The wax-based compositions include a wax fraction homogeneously blended with a polymer fraction. The wax fraction includes at least one wax and the polymer fraction includes at least one polymer selected such that, when the at least one wax and at least one polymer are homogeneously blended together, they yield a wax-based composition having the desired properties of thermal stability and plastic deformability. Barrier layers and oral treatment devices made from such wax-based compositions are dimensionally stable to a temperature of at least 40° C. without external support and can be plastically deformed in a user's mouth to become at least partially customized to the size and shape of user's unique dentition.

Abstract: A deep learning process receives desired process values associated with the one or more process stations. The deep learning processor receives desired target values for one or more key performance indicators of the manufacturing process. The deep learning processor simulates the manufacturing process to generate expected process values and expected target values for the one or more key performance indicators to optimize the one or more key performance indicators. The simulating includes generating a proposed state change of at least one processing parameter of the initial set of processing parameters. The deep learning processor determines that expected process values and the expected target values are within an acceptable limit of the desired process values and the desired target values. Based on the determining, the deep learning processes causes a change to the initial set of processing parameters based on the proposed state change.

Abstract: Embodiments as disclosed include document analysis systems that may obtain email data collected or obtained from email servers from one or more source systems and build a graph of the emails, where the nodes of the email graph represent data about an email and the edges in the graph between the nodes of the graph are determined based on metadata associated with the emails or the text content of the emails. These email graphs may be quickly and efficiently updated as new email data is obtained such that the document analysis systems may organize emails into conversations for utilization by users in reviewing these emails in context.

Abstract: A mulling system for a plurality of fenestration units includes a first joining plate configured to attach to a first outer edge of a first fenestration unit. The first joining plate includes a first outer face. The mulling system also includes a second joining plate configured to attach to a second outer edge of a second fenestration unit. The second joining plate includes a second outer face. The second joining plate is configured to engage the first joining plate to join together the first fenestration unit and the second fenestration unit with the first outer face facing the second outer face. The mulling system additionally includes a deflectable seal member attached to the first joining plate and having a sealing surface that faces away from the first outer face. The sealing surface is configured to deflect and seal against the second outer face of the second joining plate.

Abstract: An apparatus and method for an inspection apparatus for inspecting a component. The inspection apparatus including a robotic arm. A micro-XRF instrument having an instrument head coupled to the robotic arm. A seat supporting the component within a scanning area during inspection; and a computer in communication with the robotic arm and the micro-XRF instrument.