Abstract: The present disclosure relates to a method, storage medium, and system for analyzing an image sequence of a periodic physiological activity. In one implementation, the method includes receiving the image sequence acquired by an imaging device, the image sequence having a plurality of frames, and identifying a feature point in a first frame. The method further includes determining motion vectors for the feature point in the frames of the image sequence. Each motion vector for the feature point is determined based on respective locations of corresponding feature points in frames adjacent to the first frame. The method also includes determining a motion magnitude profile based on the determined motion vectors and determining a phase of each frame in the image sequence based on the motion magnitude profile.

Abstract: Method, system, device and medium for determining a blood flow velocity in a vessel are provided. An example method includes receiving a 3D model of the vessel, which is reconstructed based on X-ray angiography images of the vessel. The method further includes specifying a segment of the 3D model by a start landmark and a termination landmark. Moreover, the method includes determining the blood flow velocity based on length of the segment and perfusion time for the segment by normalizing the blood flow velocity to correspond to a cardiac cycle. The method has a better accuracy in calculating blood flow velocity, and requires no additional modalities other than the original X-ray angiogram sequences used to visualize coronary arteries.

Abstract: The present disclosure is directed to a method and device for automatically predicting FFR based on images of vessel. The method for automatically predicting FFR based on images of a vessel. The method comprises a step of receiving the images of a vessel acquired by an imaging device. Then, a sequence of flow speeds at a sequence of positions on a centerline of the vessel is acquired by a processor. A sequence of first features at the sequence of positions on a centerline of the vessel are acquired by the processor, by fusing structure-related features and flow speeds and using a convolutional neural network. Then, a sequence of FFR at the sequence of positions is determined by the processor through using a sequence-to-sequence neural network on the basis of the sequence of first features.

Abstract: In an example embodiment, a GLMix model is utilized that models viewers and actors of feed items. This allows for random effects of individual viewers and actors to be taken into account without introducing biases. Additionally, in an example embodiment, predictions/recommendations are made more accurate by using three models, which are then combined, instead of a single GLMix model. Each of these models has different granularities and dimensions. A global model may model the similarity between user attributes (e.g., from the member profile or activity history) and item attributes. A per-viewer model may model user attributes and activity history of actors on feed items. A per-actor model may model user attributes and activity history of the viewers of feed items. The per-actor model may therefore, rely on information regarding how and what type of viewers interacted with items acted on by the particular actor.

Abstract: Methods, systems, and computer programs are presented for identifying tuning parameters for mixing items in different categories for a user feed. One method includes maximizing utilities when presenting feeds to social network users, each utility having a weight for mixing items. The method further includes identifying a utilities maximization goal such that a first utility is maximized while other utilities are above a threshold, and initializing a counter. A loop, repeated until convergence, includes generating sample weights; performing an experiment with the sample weights for i users and j feed sessions to determine utility action indicators; for each utility, estimating a posterior distribution of an underlying hyperfunction and drawing samples; for each drawn sample, calculating a utility function and the weight that maximizes the utility function; generating an empirical distribution based on the sample weights; and incrementing the counter. The identified weights are utilized for creating the feeds.

Abstract: A news feed system of an on-line social network system obtains and utilizes data related to events that originate with members of the on-line social network system from web pages other those members' news feed pages. The news feed system monitors signals that are not related to feed interaction and generates contextual engagement features based on those signals. The news feed system associates contextual engagement features with respective member profiles and may store the association information for a period of time. The news feed system then uses these features to train a model that ranks news feed inventory and/or as input into that model.

Abstract: A news feed system of an on-line social network system news utilizes a relevance model to determine which updates from an inventory of updates are to be presented to a member on their news feed page. The relevance model is trained using historical data that reflects interactions of members of the on-line social network system with items in their respective news feed pages. In order to reduce potential biases in the historical data that is used to train the relevance model, the news feed system designates a certain portion of all member sessions to be random sessions. The news feed generated for a member during a random session includes updates that are selected and/or ordered for presentation using one or more randomization techniques.

Abstract: Techniques for enhancing usability and electronic resource efficiency using comment relevance are disclosed herein. In some embodiments, a comment relevance system receives member feature data, including professional identity data such as professional experience or professional skill, and at least one of comment feature data and commenter feature data for comments for post on a social networking service, generates a score for each comment based on the member feature data and the comment or commenter feature data, ranks the comments based on the scores, and causes one or more of the comments to be displayed in a particular position based on the ranking. In some embodiments, the member feature data comprises professional identity data of a member of the social networking service, the comment feature data indicates at least one attribute of the comment, and the commenter feature data indicates at least one attribute of the commenter of the comment.

Abstract: A news feed system of an on-line social network system obtains and utilizes data related to events that originate with members of the on-line social network system from web pages other those members' news feed pages. The news feed system monitors signals that are not related to feed interaction and generates contextual engagement features based on those signals. The news feed system associates contextual engagement features with respective member profiles and may store the association information for a period of time. The news feed system then uses these features to train a model that ranks news feed inventory and/or as input into that model.

Abstract: A news feed system is provided to generate augmented news feed for a member of an on-line social network. When a request is detected to construct a news feed for a member in an on-line social network system, the news feed system determines a cohort of the member and, from the updates that are being presented in their respective news feeds to members of the cohort, selects a leaderboard set of updates. The leaderboard set of updates is used in constructing a news feed web page for the member.

Abstract: Techniques for ranking the importance of various attributes associated with various product categories are described. According to various embodiments, product category information identifying various products in a particular product category in the inventory of a marketplace website is accessed. The product category information may further identify a set of attributes associated with the products in the particular product category. An importance value associated with each of the attributes is then calculated, the importance values indicating an importance of each of the attributes for uniquely identifying the products in the product category. Thereafter, each of the attributes are ranked, based on the importance value associated with each of the attributes.

Abstract: Techniques for ranking the importance of various attributes associated with various product categories are described. According to various embodiments, product category information identifying various products in a particular product category in the inventory of a marketplace website is accessed. The product category information may further identify a set of attributes associated with the products in the particular product category. An importance value associated with each of the attributes is then calculated, the importance values indicating an importance of each of the attributes for uniquely identifying the products in the product category. Thereafter, each of the attributes are ranked, based on the importance value associated with each of the attributes.

Abstract: An elastic pull rope with maximum tensile range limitation functions has a soft elastic pipe casing forming a closed threading space inside the pipe body. The side edges of the pipe casing are provided with evenly distributed convex and concave folding edges. Elastic strips, made of multiple elastic cords, go straight through the long threading space. Pulling joint parts are configured on the elastic strips, and each part matches the corresponding position of the concave folding edges of the pipe casing. A plurality of pulling woven cords are formed on the inner side of the concave folding edges, so as to bind and fix the pulling joint parts on the elastic strips with the concave folding edges. Two flat-type binding strips are formed on the two ends of the pipe casing and the elastic strips. Extending strips are formed respectively by extending the ends of the two flat-type binding strips.

Abstract: An elastic safety pull rope with maximum tensile range limitation functions has a telescopic flexible tube, which is a woven fabric tubing provided with an enclosed through-space. At least two elastic threads are assembled into the through-space of the tube. A plurality of weaving fixed portions are fixed onto the joints of the elastic threads and flanged portions of the tube. Two flat joints are formed at two ends of the tube and elastic threads. No extension is possible when the tube is pulled in a straight state, so this could limit the maximum tensile range of the elastic thread. When the two flat joints are pulled to couple with the elastic thread and tube, the flanged portions of the tube could be placed in uniform corrugated state since the weaving fixed portions are linked at interval, thereby preventing possible winding and rupture of the threads with better applicability.

Abstract: A programmable input/output device for use with a programmable logic device (PLD) is presented comprising an input buffer, an output buffer and programmable elements. The programmable elements may be programmed to select a logic standard for the input/output device to operate at. For instance, a given set of Select Bits applied to the programmable elements may select TTL logic, in which case the input and output buffers would operate according to the voltage levels appropriate for TTL logic (e.g., 0.4 volts to 2.4 volts). For a different set of Select Bits, the GTL logic standard would be applied (e.g., 0.8 volts to 1.2 volts). The invention enables a single PLD to be used in conjunction with various types of external circuitry.

Abstract: A programmable input/output device for use with a programmable logic device (PLD) is presented comprising an input buffer, an output buffer and programmable elements. The programmable elements may be programmed to select a logic standard for the input/output device to operate at. For instance, a given set of Select Bits applied to the programmable elements may select TTL logic, in which case the input and output buffers would operate according to the voltage levels appropriate for TTL logic (e.g., 0.4 volts to 2.4 volts). For a different set of Select Bits, the GTL logic standard would be applied (e.g., 0.8 volts to 1.2 volts). The invention enables a single PLD to be used in conjunction with various types of external circuitry.