Abstract: A leak detection system and method or an internal cabin of a vehicle include a sensing device configured to detect one or both of water flow or water pressure within a water delivery conduit that is configured to deliver water to one or more water-drawing components within one or more areas of the internal cabin. The sensing device is configured to detect one or both of the water flow or the water pressure into the one or more water-drawing components. A control unit is in communication with the sensing device. The control unit is configured to monitor one or both of the water flow or the water pressure as detected by the sensing device, and determine a presence of a leak in relation to the one or more water-drawing components based on one or both of the water flow or the water pressure.

Abstract: Provided are compounds of Formula (I): or a pharmaceutically acceptable salt thereof, wherein R1, R2A, R2B, R3, R4, and R5 are as defined herein. Also provided is a pharmaceutically acceptable composition comprising a compound of Formula (I), or a pharmaceutically acceptable salt thereof. Also provided are methods of using a compound of Formula (I), or a pharmaceutically acceptable salt thereof.

Abstract: A micro-application framework includes instantiating, on a client computer, a user interface configured with a hosting application operable to execute one or more micro-applications. During runtime of the user interface, a request for a CRM function is received. A request is sent for a micro-application that corresponds to the requested CRM function. The user interface receives from a server hosting the micro-application a data package that includes the micro-application corresponding to the requested CRM function. The executable code in the data package is executed in the hosting application via the execution environment. One or more interactive areas are rendered that are configured to display information pertaining to the requested CRM function.

Abstract: Access to emails delivered to an employee of an enterprise is received. An incoming email addressed to the employee is acquired. A primary attribute is extracted from the incoming email by parsing at least one of: (1) content of the incoming email or (2) metadata associated with the incoming email. It is determined whether the incoming email deviates from past email activity, at least in part by determining, as a secondary attribute, a mismatch between a previous value for the primary attribute and a current value for the primary attribute, using a communication profile associated with the employee, and providing a measured deviation to at least one machine learning model.

Abstract: A method for producing a recombinant mannose binding lectin for pattern recognition-based innate immune response targeting and activation against glycosylated pathogens. The method of recombinant mannose binding lectin production includes an inducible recombinant expression system and multi-stage purification.

Abstract: A message addressed to a user is received. A first model is applied to the message to produce a first output indicative of whether the message is representative of a non-malicious message. The first model is trained using past messages that have been verified as non-malicious messages. It is determined, based on the first output, that the message is potentially a malicious message. Responsive to determining that the message is potentially a malicious email based on the first output, apply a second model to the message to produce a second output indicative of whether the message is representative of a given type of attack. The second model is one of a plurality of models. At least one model included in the plurality of models is associated with characterizing a goal of the malicious message. An action is performed with respect to the message based on the second output.

Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.

Abstract: Provided are compounds of Formula (I): or a pharmaceutically acceptable salt thereof, wherein R1, R2A, R2B, R3, R4, and R5 are as defined herein. Also provided is a pharmaceutically acceptable composition comprising a compound of Formula (I), or a pharmaceutically acceptable salt thereof. Also provided are methods of using a compound of Formula (I), or a pharmaceutically acceptable salt thereof.

Abstract: The system receives an indication of an issue associated with a wireless telecommunication network and an indication of an operator capable of resolving the issue. The system sends a notification to an AR/VR device associated with the operator. The notification indicates the issue and prompts the operator to join a virtual collaboration room. The system receives a request to join the virtual collaboration room from the operator based on a gesture or a voice command detected by the AR/VR device. The system creates the virtual collaboration room, via a 5G wireless telecommunication network, including a screen shared among multiple operators. The system records operations performed in the virtual collaboration room until a resolution to the issue has been determined.

Abstract: Embodiments of a composition provide a line of defense against SARS coronaviruses that complements vaccines. The composition may be taken orally, intravenously, nasally, or inhaled by a healthy person to prevent a SARS infection or by a sick person infected by a SARS coronavirus for treatment. The composition is configured for molecular pattern recognition based targeting of the SARS coronavirus spike (S) protein and activating an innate immune response. The composition includes a lectin component. The composition may also include an optional flavonoid component, an optional calcium component, or both.

Abstract: The system receives an indication of an issue associated with a wireless telecommunication network and an indication of an operator capable of resolving the issue. The system sends a notification to an AR/VR device associated with the operator. The notification indicates the issue and prompts the operator to join a virtual collaboration room. The system receives a request to join the virtual collaboration room from the operator based on a gesture or a voice command detected by the AR/VR device. The system creates the virtual collaboration room, via a 5G wireless telecommunication network, including a screen shared among multiple operators. The system records operations performed in the virtual collaboration room until a resolution to the issue has been determined.

Abstract: The system receives an indication of an issue associated with a wireless telecommunication network and an indication of an operator capable of resolving the issue. The system sends a notification to an AR/VR device associated with the operator. The notification indicates the issue and prompts the operator to join a virtual collaboration room. The system receives a request to join the virtual collaboration room from the operator based on a gesture or a voice command detected by the AR/VR device. The system creates the virtual collaboration room, via a 5G wireless telecommunication network, including a screen shared among multiple operators. The system records operations performed in the virtual collaboration room until a resolution to the issue has been determined.

Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.

Abstract: An online concierge system receives a search query from a client device. The online concierge system identifies a set of matching items from an item database. The matching items correspond to the received search query. The online concierge system obtains, from a hierarchical item taxonomy, a category label for each matching item. The item taxonomy relates each item in the item database to one of a plurality of category labels. The online concierge system groups the matching items by the category labels for each of the matching items into one or more groups. The online concierge system generates instructions for a user interface. The user interface includes a scrollable list of one or more carousels. Each carousel includes a scrollable list of a group of the one or more groups. The online concierge system sends the instructions of the user interface to the client device for display.

Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.

Abstract: Techniques for identifying and processing graymail are disclosed. An electronic message store is accessed. A determination is made that a first message included in the electronic message store represents graymail, including by accessing a profile associated with an addressee of the first message. A remedial action is taken in response to determining that the first message represents graymail.

Abstract: Provided are compounds of Formula (I): or a pharmaceutically acceptable salt thereof, wherein R1, R2A, R2B, R3, R4, and R5 are as defined herein. Also provided is a pharmaceutically acceptable composition comprising a compound of Formula (I), or a pharmaceutically acceptable salt thereof. Also provided are methods of using a compound of Formula (I), or a pharmaceutically acceptable salt thereof.

Abstract: An anti-theft protection disablement solution is provided to authorized users and authorized customer service representatives. An anti-theft protection disablement request message from a recovery application on a user device may be received via a cloud messaging service or a binary messaging service. In turn, an anti-theft protection disablement message may be transmitted to the user device via the cloud messaging service or the binary messaging service when the anti-theft protection disablement request message is authenticated. The anti-theft protection disablement message may disable an anti-theft protection function on the user device that calls for an input of an anti-theft protection authentication credential for a factory reset of the user device.

Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for dynamic service response are disclosed. In one aspect, a method includes the actions of receiving a request to access a first computing service. The actions further include, in response to receiving the request to access the computing service, accessing first status data that indicates a first status of the first computing service and second status data that indicates a second status of the first computing service. The actions further include, based on the first status data and the second status data, generating instructions for the first computing service to respond to the request. The actions further include providing the first computing service the instructions for responding to the request.