Abstract: A cyber-threat defense system for a network including its email domain protects this network from cyber threats. Modules utilize machine learning models as well communicate with a cyber threat module. Modules analyze the wide range of metadata from the observed email communications. The cyber threat module analyzes with the machine learning models trained on a normal behavior of email activity and user activity associated with the network and in its email domain in order to determine when a deviation from the normal behavior of email activity and user activity is occurring. A mass email association detector determines a similarity between highly similar emails being i) sent from or ii) received by a collection of two or more individual users in the email domain in a substantially simultaneous time frame. Mathematical models can be used to determine similarity weighing in order to derive a similarity score between compared emails.

Abstract: Systems, computer program products, and methods are described herein for network traffic routing and load balancing in an electronic network. The present disclosure is configured to identify, by an application layer, at least one website access request by a user account, wherein a website access request comprises a website identifier; transmit the website access request to a traffic routing layer; identify, by the traffic routing layer, a plurality of potential websites; determine, by the traffic routing layer, whether a routing identifier is present for the user account and in response to determining the routing identifier, pin the user account to a pinned website of the potential websites based on the routing identifier; and determine, by the traffic routing layer, whether the pinned website comprises an up attribute or down attribute, and to direct the website access request based on at least this up or down attribute.

Abstract: Disclosed are nucleotides, cells, and methods associated with the compositions including their use as vaccines, including vectors and methods for a homologous prime/boost vaccination strategy, such as adenoviral vectors for use in a homologous prime/boost vaccination strategy.

Abstract: An ancillary laundry composition comprising an ester oil, which is a polyol comprising at least two ester linkages, free perfume and 0 to 0.85 wt. % anionic and/or cationic surfactant. A method of laundering clothes, wherein said composition is added in the wash or rinse stage. A method of preventing colour fade over (10) laundry cycles, wherein fabrics are treated with said composition during each consecutive laundry cycle. The use of said composition to provide an improved colour maintenance or reduced colour fade over consecutive laundry cycles, preferably (10), more preferably (5) laundry cycles.

Abstract: An energy device control system may include an energy source enclosure that can be coupled with external loads via first external connectors outside of the energy source enclosure. The system also may include an external control device coupled with the energy source enclosure via second external connectors such that the external control device is galvanically isolated from energy device cells inside the energy source enclosure. The external control device may communicate with internal control components of the energy source enclosure via the second external connectors to control charging and/or discharging of the device cells via the first external connectors.

Abstract: A semi-automated bulk sorting system includes a primary conveyor having a proximal end and a distal end, and a plurality of sorting stations downstream from the primary conveyor and configured to sort the outbound parcels and cartons, where each of the sorting stations has a sorting platform. The system also includes a plurality of infeed chutes coupled between the primary conveyor and the plurality of sorting stations, and a plurality of automated diverter arms configured to automatically divert the outbound parcels and cartons from the primary conveyor down one of the plurality of infeed chutes to a respective sorting platform of the plurality of sorting stations. The sorting platform of each of the sorting stations is configured to cause the outbound parcels and cartons to accumulate on the plurality of infeed chutes.

Abstract: A semi-automated bulk sorting system includes a primary conveyor having a proximate end and a distal end, where the proximate end of the primary conveyor is configured for collecting outbound parcels and cartons that are to be sorted. The system includes a manual sort center coupled downstream from the primary conveyor and configured to partially sort the parcels and cartons. A parcel final sortation zone is coupled downstream from the manual sort center for receiving the partially sorted parcels and is configured to finally sort the parcels for delivery. In addition, the system includes a plurality of carton palletization zones coupled downstream from the manual sort center for receiving the sorted cartons and to palletize the sorted cartons for delivery.

Abstract: An aerosol delivery device is provided. The aerosol delivery device includes a power source, an aerosol production component, a sensor to produce measurements of atmospheric air pressure in an air flow path through at least one housing, and a switch coupled to and between the power source and the aerosol production component. The aerosol delivery device also includes processing circuitry that determines a difference between the measurements of atmospheric air pressure and a reference atmospheric air pressure. Only when the difference is at least a threshold difference, the processing circuitry outputs a signal to cause the switch to switchably connect and disconnect an output voltage from the power source to the aerosol production component to adjust power provided to the aerosol production component to a power target that is variable according to a predetermined relationship between the difference and the power target.

Abstract: A cyber defense system using models that are trained on a normal behavior of email activity and user activity associated with an email system. A cyber-threat module may reference the models that are trained on the normal behavior of email activity and user activity. A determination is made of a threat risk parameter that factors in the likelihood that a chain of one or more unusual behaviors of the email activity and user activity under analysis fall outside of a derived normal benign behavior. An autonomous response module can be used, rather than a human taking an action, to cause one or more autonomous rapid actions to be taken to contain the cyber-threat when the threat risk parameter from the cyber-threat module is equal to or above an actionable threshold.

Abstract: An aerosol delivery device is provided. The aerosol delivery device includes a power source, an aerosol production component, a sensor to produce measurements of atmospheric air pressure in an air flow path through at least one housing, and a switch coupled to and between the power source and the aerosol production component. The aerosol delivery device also includes processing circuitry that determines a difference between the measurements of atmospheric air pressure and a reference atmospheric air pressure. Only when the difference is at least a threshold difference, the processing circuitry outputs a signal to cause the switch to switchably connect and disconnect an output voltage from the power source to the aerosol production component to adjust power provided to the aerosol production component to a power target that is variable according to a predetermined relationship between the difference and the power target.

Abstract: A cyber-threat defense system for a network including its email domain protects this network from cyber threats. Modules utilize machine learning models as well communicate with a cyber threat module. Modules analyze the wide range of metadata from the observed email communications. The cyber threat module analyzes with the machine learning models trained on a normal behavior of email activity and user activity associated with the network and in its email domain in order to determine when a deviation from the normal behavior of email activity and user activity is occurring. A mass email association detector determines a similarity between highly similar emails being i) sent from or ii) received by a collection of two or more individual users in the email domain in a substantially simultaneous time frame. Mathematical models can be used to determine similarity weighing in order to derive a similarity score between compared emails.

Abstract: A cyber-threat defense system for a network including its email domain protects this network from cyber threats. Modules utilize machine learning models as well communicate with a cyber threat module. Modules analyze the wide range of metadata from the observed email communications. The cyber threat module analyzes with the machine learning models trained on a normal behavior of email activity and user activity associated with the network and in its email domain in order to determine when a deviation from the normal behavior of email activity and user activity is occurring. A mass email association detector determines a similarity between highly similar emails being i) sent from or ii) received by a collection of two or more individual users in the email domain in a substantially simultaneous time frame. Mathematical models can be used to determine similarity weighing in order to derive a similarity score between compared emails.

Abstract: A semi-automated bulk sorting system includes a primary conveyor having a proximate end and a distal end, where the proximate end of the primary conveyor is configured for collecting outbound parcels and cartons that are to be sorted. The system includes a manual sort center coupled downstream from the primary conveyor and configured to partially sort the parcels and cartons. A parcel final sortation zone is coupled downstream from the manual sort center for receiving the partially sorted parcels and is configured to finally sort the parcels for delivery. In addition, the system includes a plurality of carton palletization zones coupled downstream from the manual sort center for receiving the sorted cartons and to palletize the sorted cartons for delivery.

Abstract: A cyber-threat defense system for a network including its email domain protects this network from cyber threats. Modules utilize machine learning models as well communicate with a cyber threat module. Modules analyze the wide range of metadata from the observed email communications. The cyber threat module analyzes with the machine learning models trained on a normal behavior of email activity and user activity associated with the network and in its email domain in order to determine when a deviation from the normal behavior of email activity and user activity is occurring. A mass email association detector determines a similarity between highly similar emails being i) sent from or ii) received by a collection of two or more individual users in the email domain in a substantially simultaneous time frame. Mathematical models can be used to determine similarity weighing in order to derive a similarity score between compared emails.

Abstract: An aerosol delivery device is provided. The aerosol delivery device includes a power source, an aerosol production component, a sensor to produce measurements of atmospheric air pressure in an air flow path through at least one housing, and a switch coupled to and between the power source and the aerosol production component. The aerosol delivery device also includes processing circuitry that determines a difference between the measurements of atmospheric air pressure and a reference atmospheric air pressure. Only when the difference is at least a threshold difference, the processing circuitry outputs a signal to cause the switch to switchably connect and disconnect an output voltage from the power source to the aerosol production component to adjust power provided to the aerosol production component to a power target that is variable according to a predetermined relationship between the difference and the power target.

Abstract: A cyber defense system using models that are trained on a normal behavior of email activity and user activity associated with an email system. A cyber-threat module may reference the models that are trained on the normal behavior of email activity and user activity. A determination is made of a threat risk parameter that factors in the likelihood that a chain of one or more unusual behaviors of the email activity and user activity under analysis fall outside of a derived normal benign behavior. An autonomous response module can be used, rather than a human taking an action, to cause one or more autonomous rapid actions to be taken to contain the cyber-threat when the threat risk parameter from the cyber-threat module is equal to or above an actionable threshold.

Abstract: A thermal management system that provides cooling to an electronic device is disclosed. The thermal management system includes a surface having a plurality of extended elements thermally coupled to the surface, a plurality of vibrator assemblies configured to generate a cooling flow across the surface, and a mounting structure disposed atop the plurality of extended elements of the surface to position the plurality of vibrator assemblies relative to the surface. The mounting structure is configured to orient each of the plurality of vibrator assemblies to the surface at an angel, such that the cooling flow generated by the plurality of vibrator assemblies impinges on the extended elements at an angle.

Abstract: Various systems are provided for filtering EMI. In one example, a system comprises a poly-modal filter coupled to a load device, and a shield disposed between the load device and the poly-modal filter. The poly-modal filter comprises an EMI filter and a differential-common mode filter.

Abstract: Disclosed herein are polymer-coated iron oxide magnetic nanoparticles and methods of their manufacture and use. The nanoparticles are coated with a copolymer of poly(maleic anhydride alt-H2C?CH—R1)-polyethylene glycol (PMAR-PEG), wherein R1 is a hydrophobic moiety. The molecular weights of the PMAR and PEG portions of the copolymer, as well as the core diameter of the nanoparticles are selected in order to produce optimal performance for specific applications. Representative applications of the nanoparticles include magnetic particle imaging, magnetic sentinel lymph node biopsy, and magnetic fluid hyperthermia. The disclosed nanoparticles are tools for these methods that provide previously unachieved levels of stability (e.g., via reduced agglomeration) and customizability (e.g., tuned blood circulation half-life in vivo).

Abstract: Various systems are provided for filtering EMI. In one example, a system comprises a poly-modal filter coupled to a load device, and a shield disposed between the load device and the poly-modal filter. The poly-modal filter comprises an EMI filter and a differential-common mode filter.