Abstract: Systems, devices, media, and methods are presented for determining a level of abusive network behavior suspicion for groups of entities and for identifying suspicious entity groups. A suspiciousness metric is developed and used to evaluate a multi-view graph across multiple views where entities are associated with nodes of the graph and attributes of the entities are associated with levels of the graph.

Abstract: Methods and devices for harvesting cancellous bone are disclosed. The bone-harvesting device may include a cannula and a bone receptacle in communication with the cannula, wherein the cannula including a cutting surface positioned at or adjacent the distal end, the cutting surface being oriented at an angle, the angle being greater than 90 degrees relative to the longitudinal axis of the cannula, and the harvested bone is adapted to move from a position adjacent to the cutting surface through the cannula into the bone receptacle. The cutting surface of the cannula may be positioned at or adjacent the distal end, and positioned at least in part radially outward of the outer face of the cannula. The cannula may include a cutting surface positioned at or adjacent the distal end and an occluding geometry that partially occludes the distal end of the cannula adjacent the cutting surface. In addition, a suction port may be provided in communication with the bone receptacle.

Abstract: A network system is provided that enables a user to record media in connection with a user operating a service application to participate in a transport service. In examples, the network system includes a user computing device on which media is recorded and stored in an unrenderable state. The user can elect to make a media recording submission for a particular service activity (e.g., trip provided or received by user). In response to the media recording submission, the user computing device identifies one or more media files that contain media data which depict the service activity. The identified media files are transmitted to a service computing system where the media files can be rendered.

Abstract: A messaging system performs engagement analysis based on labels associated with content items produced by users of the messaging system. The messaging system is configured to process content items comprising images to identify elements in the images and determine labels for the images based on conditions indicating when to associate a label of the labels with an image of the images based on the elements in the image. The messaging system is further configured to associate the label with the content item, in response to determining to associate the label with the image, associating the label with the content item. The messaging system is further configured to determine engagement scores for the label based on interactions of users with the content items associated with label and adjust the engagement scores to determine trends in the labels to generate adjusted engagement scores.

Abstract: A system for use in recognising an infant suffering from cow's milk allergy is described which comprises measuring body movement of the infant, wherein the system comprises computer processing means configured, in use, to: receive a video including a sequence of images of an infant moving; detect the infant in the video images; locate at least one reference point on the infant; measure a vector of movement for the or each reference point over a sequence of said images; compare the or each vector of movement against a directory of corresponding vectors of movement and determine a proximity value; generate a communication in which the proximity value is used to provide an indication of whether the infant is suffering from cow's milk allergy.

Abstract: Systems, devices, media, and methods are presented for determining a level of abusive network behavior suspicion for groups of entities and for identifying suspicious entity groups. A suspiciousness metric is developed and used to evaluate a multi-view graph across multiple views where entities are associated with nodes of the graph and attributes of the entities are associated with levels of the graph.

Abstract: Tools, devices and systems that include a generally cylindrical, hollow shaft, and a suction canister are provided with advantageous interconnectivity features and functions that enable ease of manufacturing, lowered manufacturing costs, and allow for a platform of different shaft embodiments and canister embodiments that may be manufactured in different combinations to form an array of unique instruments. The interconnectivity may be irreversible or reversible, and the connection features maintain an air tight seal between the components. Tools, devices and systems are also provided that include collection functionality that can be employed to manipulate the volume of tissue collected while using a tissue collection feature/function. This may be undertaken to restrict total volume of the collection chamber in a way that allows for continuous suction flow rate to take place while collecting the desired amount of tissue.

Abstract: A messaging system performs engagement analysis based on labels associated with content items produced by users of the messaging system. The messaging system is configured to process content items comprising images to identify elements in the images and determine labels for the images based on conditions indicating when to associate a label of the labels with an image of the images based on the elements in the image. The messaging system is further configured to associate the label with the content item, in response to determining to associate the label with the image, associating the label with the content item. The messaging system is further configured to determine engagement scores for the label based on interactions of users with the content items associated with label and adjust the engagement scores to determine trends in the labels to generate adjusted engagement scores.

Abstract: Tools, devices and systems that include a generally cylindrical, hollow shaft, and a suction canister are provided with advantageous interconnectivity features and functions that enable ease of manufacturing, lowered manufacturing costs, and allow for a platform of different shaft embodiments and canister embodiments that may be manufactured in different combinations to form an array of unique instruments. The interconnectivity may be irreversible or reversible, and the connection features maintain an air tight seal between the components. Tools, devices and systems are also provided that include collection functionality that can be employed to manipulate the volume of tissue collected while using a tissue collection feature/function. This may be undertaken to restrict total volume of the collection chamber in a way that allows for continuous suction flow rate to take place while collecting the desired amount of tissue.

Abstract: Systems and methods are disclosed for automatically predicting a risk score of a user login attempt by receiving a user login attempt and generating a login feature vector associated with the user login attempt. The systems and methods further train a machine learning technique to establish a relationship between the login feature vector and the risk score. The trained machine learning technique is applied to new user login attempts to predict a risk score associated with the login attempt and issue an authentication challenge to the user if the risk score exceeds a predetermined threshold value.

Abstract: Systems and methods are disclosed for automatically predicting a risk score of a user login attempt by receiving a user login attempt and generating a login feature vector associated with the user login attempt. The systems and methods further train a machine learning technique to establish a relationship between the login feature vector and the risk score. The trained machine learning technique is applied to new user login attempts to predict a risk score associated with the login attempt and issue an authentication challenge to the user if the risk score exceeds a predetermined threshold value.

Abstract: Systems, devices, media, and methods are presented for determining a level of abusive network behavior suspicion for groups of entities and for identifying suspicious entity groups. A suspiciousness metric is developed and used to evaluate a multi-view graph across multiple views where entities are associated with nodes of the graph and attributes of the entities are associated with levels of the graph.

Abstract: The present invention relates to a method, apparatus, and system of distinguishing a human user and a simulated user. More particularly, the present invention relates to protecting networks against simulated human users via an image recognition arrangement. Aspects and/or embodiments seek to provide a method and system for verifying that a user is human, rather than a computer, in order to protect access to resources such as public facing websites.

Abstract: Systems, devices, media and methods are presented for detecting anomalous resources and events in social data. The systems and methods receive a plurality of events associated with a plurality of resources, wherein the plurality of events includes a plurality of features. The systems and methods detect a set of anomalous resources from the plurality of resources and identify a set of anomalous events associated with the set of anomalous resources. The systems and methods cause an interface to be displayed on a computing device, wherein the interface includes the set of anomalous resources and the set of anomalous events.

Abstract: Systems, devices, media, and methods are presented for determining a level of abusive network behavior suspicion for groups of entities and for identifying suspicious entity groups. A suspiciousness metric is developed and used to evaluate a multi-view graph across multiple views where entities are associated with nodes of the graph and attributes of the entities are associated with levels of the graph.

Abstract: A messaging system performs engagement analysis based on labels associated with content items produced by users of the messaging system. The messaging system is configured to process content items comprising images to identify elements in the images and determine labels for the images based on conditions indicating when to associate a label of the labels with an image of the images based on the elements in the image. The messaging system is further configured to associate the label with the content item, in response to determining to associate the label with the image, associating the label with the content item. The messaging system is further configured to determine engagement scores for the label based on interactions of users with the content items associated with label and adjust the engagement scores to determine trends in the labels to generate adjusted engagement scores.

Abstract: A processor collecting advertisement (ad) events of a user using a mobile device, such as a mobile phone or eyewear, parsing the ad events from the mobile device, and generating an ad receptivity profile on the granularity of a user identification (ID) and an hour of day. In one example, the processor computes the percentage of ad time watched by the individual user, such as on an hourly basis, and by monitoring a click-through rate (CTR) of the respective user as a measure for user ad receptivity. The processor adjusts an ad allocation/ad load on a per user basis according the user level ad receptivity profile, resulting in dynamically providing ads on the mobile device display when a user is active and receptive viewing the ads.

Abstract: A processor having a performance engine tracking user engagement of advertisement (ad) events using a mobile device, such as a mobile phone or eyewear, to generate a user level ad receptivity profile. In one example, the processor tracks both the percentage of ad time watched by the individual user, such as on an hourly basis, and ad engagement such as by monitoring a click-through rate (CTR) of the respective user as a measure for user ad receptivity. The processor downloads data from the performance engine to a server processor, and the server processor adjusts an ad allocation/ad load on a per user basis according the user level ad receptivity profile. The server processor dynamically provides ads on the mobile device display when a user is active and receptive viewing the ads.

Abstract: Systems, devices, media, and methods are presented for determining a level of abusive network behavior suspicion for groups of entities and for identifying suspicious entity groups. A suspiciousness metric is developed and used to evaluate a multi-view graph across multiple views where entities are associated with nodes of the graph and attributes of the entities are associated with levels of the graph.

Abstract: Systems, devices, media, and methods are presented for determining a level of abusive network behavior suspicion for groups of entities and for identifying suspicious entity groups. A suspiciousness metric is developed and used to evaluate a multi-view graph across multiple views where entities are associated with nodes of the graph and attributes of the entities are associated with levels of the graph.