Abstract: A inhaler includes a piezoelectric element substrate having an IDT constructed by use of a pair of interlocking comb-shaped metallic electrodes, a liquid supplier for supplying liquid, which is to be atomized, to a front surface of the piezoelectric element substrate on which the pair of interlocking comb-shaped metallic electrodes is positioned, a sensor, which includes at least a pair of detection parts which are opposite to each other, for detecting liquid supplied to the front surface of the piezoelectric element substrate, and a controller for controlling, based on result of detection by the sensor, the liquid supplier in such a manner that the liquid supplier supplies a certain quantity of the liquid to the front surface of the piezoelectric element substrate.

Abstract: This disclosure relates to systems and methods for managing multiple messages. In one example, a method includes determining a message transmission frequency threshold for a member of an online social networking service using responses from the member; receiving a message that is to be transmitted to the member; storing the message, without transmitting the message to the member, in a digest of messages for the member; and transmitting the digest to the member in response to a send score for the digest exceeding a send score threshold, the send score calculated using the number of messages in the digest.

Abstract: The disclosed embodiments provide a system for inferring successful hires in an online system. During operation, the system samples feedback from users of an online system to generate labels representing hiring outcomes from requests for proposal (RFPs) submitted in the online system. Next, the system inputs the labels with features representing interaction associated with the RFPs as training data for a machine learning model. The system then applies one or more rules derived from the machine learning model to additional features for an additional RFP to infer a hiring outcome for the additional RFP. Finally, the system stores the inferred hiring outcome in association with the additional RFP.

Abstract: This disclosure relates to systems and methods for managing multiple messages. In one example, a method includes determining a message transmission frequency threshold for a member of an online social networking service using responses from the member; receiving a message that is to be transmitted to the member; storing the message, without transmitting the message to the member, in a digest of messages for the member; and transmitting the digest to the member in response to a send score for the digest exceeding a send score threshold, the send score calculated using the number of messages in the digest.

Abstract: This disclosure relates to systems and methods for managing multiple messages. In one example, a method includes determining a message transmission frequency threshold for a member of an online social networking service using responses from the member; receiving a message that is to be transmitted to the member; storing the message, without transmitting the message to the member, in a digest of messages for the member; and transmitting the digest to the member in response to a send score for the digest exceeding a send score threshold, the send score calculated using the number of messages in the digest.

Abstract: This disclosure relates to systems and methods for selecting an application to handle a message. In one example, a method includes receiving a first message from a first member of an online social networking service using a first computing device, the first message addressed to a second member of the online social networking service, determining which application the first member used to generate the first message, receiving a second message from the second member, the second message being a reply message to the first message, and transmitting the second message to the first computing device that includes an instruction that the determined application is to handle the second message.

Abstract: This disclosure relates to systems and methods for managing multiple messages. In one example, a method includes determining a message transmission frequency threshold for a member of an online social networking service using responses from the member; receiving a message that is to be transmitted to the member; storing the message, without transmitting the message to the member, in a digest of messages for the member; and transmitting the digest to the member response to a send score for the digest exceeding a send score threshold, the send score calculated using the number of messages in the digest.

Abstract: A machine may be configured to schedule the generation of content for members of a social networking service. For example, the machine identifies one or more members of a social networking service who are associated with an optimal delivery time that identifies a time that is optimal for transmitting an item of digital content to the one or more members. The machine schedules an execution of a job for generation of the item of digital content. The execution of the job is performed at a content generation time that is prior to the optimal delivery time. The machine executes the job at the content generation time. The executing generates the item of digital content. The machine transmits one or more communications including the item of digital content to one or more devices associated with the one or more members, at the optimal delivery time.

Abstract: Systems and methods for providing push notifications of social network content items include determining first and second engagement values for first and second content items, respectively, provided by first and second content item sources, respectively, based on previous interactions with content items. First and second utility values are determined for the first and second content items, respectively, based on a mathematical operation applied to the first and second engagement values, respectively, the first and second selection metrics, respectively, and, for the first utility value, the value metric. One of the first and second content items are determined as a push content item based on a difference between the first and second utility values and displayed on a user device.

Abstract: Systems and methods for providing push notifications of social network content items include determining first and second engagement values for first and second content items, respectively, provided by first and second content item sources, respectively, based on previous interactions with content items. First and second utility values are determined for the first and second content items, respectively, based on a mathematical operation applied to the first and second engagement values, respectively, the first and second selection metrics, respectively, and, for the first utility value, the value metric. One of the first and second content items are determined as a push content item based on a difference between the first and second utility values and displayed on a user device.

Abstract: Systems and methods for providing push notifications of social network content items include determining first and second engagement values for first and second content items, respectively, provided by first and second content item sources, respectively, based on previous interactions with content items. First and second utility values are determined for the first and second content items, respectively, based on a mathematical operation applied to the first and second engagement values, respectively, the first and second selection metrics, respectively, and, for the first utility value, the value metric. One of the first and second content items are determined as a push content item based on a difference between the first and second utility values and displayed on a user device.