Abstract: In one aspect, a method includes generating a functional subgraph of a network from a structural graph of the network. The structural graph comprises a set of vertices and structural connections between the vertices. Generating the functional subgraph includes identifying a directed functional edge of the functional subgraph based on presence of structural connection and directional communication of information across the same structural connection.

Abstract: An imaging survey platform utilizes imaging sensors arranged in one or more arcs to capture nadir and oblique views as required for photogrammetric processing into image maps and 3D surface maps, where a common primary lens subsystem is used by sensors within an arc. The primary lens subsystem can project onto a curved (e.g., spherical) surface rather than onto a planar surface. This solves a limiting first order optical problem for airborne or spaceborne image capture. To fill missing data between sensors edges on an arc, a second and offset arc of sensors or a scanning mirror in front of the primary mirror system can be used. Each imaging sensor can be mounted on and controlled by its own computer, with this subsystem in turn may be mounted onto the arc using piezoelectric actuators to fine tune alignment image sensor relative to the primary lens subsystem.

Abstract: In one aspect, a method includes generating a functional subgraph of a network from a structural graph of the network. The structural graph comprises a set of vertices and structural connections between the vertices. Generating the functional subgraph includes identifying a directed functional edge of the functional subgraph based on presence of structural connection and directional communication of information across the same structural connection.

Abstract: A social networking system builds a quality controlled and desired population-representative pool of human raters to provide ratings on content items to improve a feed ranking model used for providing its users with more relevant content. The system identifies a pool of candidate human raters for providing ratings on a feed of content items. For each candidate human rater of the pool of candidate human raters, the system presents a feed of content items based on a feed ranking model, obtains ratings on the feed of content items, and determines a score representing the consistency of the obtained ratings, the representativeness of the pool of human raters, or the relevance of the content provided by the ranking model. The system uses the computed scores to modify the ranking model used to present content to its users for improving the relevance of the presented content.

Abstract: A pre-determined representation of a known boundary is accessed, the pre-determined representation including an indication of a location of the known boundary; a separate measurement that coincides with or crosses the known boundary is accessed, the separate measurement including location data; the indication of the location of the known boundary and the location data are compared; and whether or not the separate measurement is an indication of an interruption in the known boundary is determined based on the comparison.

Abstract: The present invention relates to a polynucleotide encoding a fusion polypeptide comprising an anti-CRISPR (Acr) polypeptide, wherein said fusion polypeptide further comprises a receptor domain changing conformation upon reception of a stimulus. The present invention also relates to a vector comprising the polynucleotide of the present invention, to a bipartite Acr polypeptide comprising a first partial Acr polypeptide comprising amino acids corresponding to amino acids 10 to 62 of SEQ ID NO: 1, and a second partial Acr polypeptide comprising amino acids corresponding to amino acids 67 to 77 of SEQ ID NO: 1, and to a host cell comprising the aforesaid polynucleotide compounds. The present invention also relates to the said compounds for use in medicine, in particular for use in treatment and/or prevention of genetic disease, neurodegenerative disease, cancer, and/or infectious disease. Moreover, the present invention also relates to a kit, methods, and uses related thereto.

Abstract: A power semiconductor device is disclosed. In one example, the device comprises a semiconductor body coupled to a first load terminal and a second load terminal and comprising a drift region configured to conduct a load current between said terminals. The drift region comprises dopants of a first conductivity type. A source region is arranged in electrical contact with the first load terminal and comprises dopants of the first conductivity type. A channel region comprises dopants of a second conductivity. At least one power unit cell that includes at least one first type trench. The at least one power unit cell further includes a first mesa zone and a second mesa zone of the semiconductor body.

Abstract: A power semiconductor device includes a semiconductor body having a front side coupled to a first load terminal structure and a backside coupled to a second load terminal structure. A front side structure arranged at the front side is at least partially included in the semiconductor body and defines a front side active region configured to conduct a load current between the load terminal structures. The front side structure includes first and second lateral edge portions and a first corner portion that forms a transition between the lateral edge portions. A drift region included in the semiconductor body is configured to carry the load current. A backside emitter region arranged in the semiconductor body in contact with the second load terminal has a net dopant concentration higher than a net dopant concentration of the drift region.

Abstract: An online system predicts topics for content items. The online system provides one or more topic labels for a user to apply concurrently while a user is composing a post, in response to requests periodically received from the user's device. A request includes information such as content composed by the user and contextual information. The online system employs machine learning techniques to analyze content composed by a user and contextual information thereby to predict topic labels. Different machine learning models for classifying individual topic labels, identifying relevant topic labels, and/or detecting changes in existing topic predictions are developed. Some machine learning models predict topics for full content and some predict topics for partial content. The online system trains the machine learning models to ensure accurate topic predictions are provided timely. The online system employs various machine learning model training methods such as active training and gradient training.

Abstract: A social networking system builds a quality controlled and desired population-representative pool of human raters to provide ratings on content items to improve a feed ranking model used for providing its users with more relevant content. The system identifies a pool of candidate human raters for providing ratings on a feed of content items. For each candidate human rater of the pool of candidate human raters, the system presents a feed of content items based on a feed ranking model, obtains ratings on the feed of content items, and determines a score representing the consistency of the obtained ratings, the representativeness of the pool of human raters, or the relevance of the content provided by the ranking model. The system uses the computed scores to modify the ranking model used to present content to its users for improving the relevance of the presented content.

Abstract: A power semiconductor device includes a semiconductor body having a front side coupled to a first load terminal structure and a backside coupled to a second load terminal structure. A front side structure arranged at the front side is at least partially included in the semiconductor body and defines a front side active region configured to conduct a load current between the load terminal structures. The front side structure includes first and second lateral edge portions and a first corner portion that forms a transition between the lateral edge portions. A drift region included in the semiconductor body is configured to carry the load current. A backside emitter region arranged in the semiconductor body in contact with the second load terminal has a net dopant concentration higher than a net dopant concentration of the drift region.

Abstract: A power semiconductor device is disclosed. In one example, the device comprises a semiconductor body coupled to a first load terminal and a second load terminal and comprising a drift region configured to conduct a load current between said terminals. The drift region comprises dopants of a first conductivity type. A source region is arranged in electrical contact with the first load terminal and comprises dopants of the first conductivity type. A channel region comprises dopants of a second conductivity. At least one power unit cell that includes at least one first type trench. The at least one power unit cell further includes a first mesa zone and a second mesa zone of the semiconductor body.

Abstract: A power semiconductor device is disclosed. In one example, the device comprises a semiconductor body coupled to a first load terminal and a second load terminal and comprising a drift region configured to conduct a load current between said terminals. The drift region comprises dopants of a first conductivity type. A source region is arranged in electrical contact with the first load terminal and comprises dopants of the first conductivity type. A channel region comprises dopants of a second conductivity. At least one power unit cell that includes at least one first type trench. The at least one power unit cell further includes a first mesa zone and a second mesa zone of the semiconductor body.

Abstract: A social networking system builds a quality controlled and desired population-representative pool of human raters to provide ratings on content items to improve a feed ranking model used for providing its users with more relevant content. The system identifies a pool of candidate human raters for providing ratings on a feed of content items. For each candidate human rater of the pool of candidate human raters, the system presents a feed of content items based on a feed ranking model, obtains ratings on the feed of content items, and determines a score representing the consistency of the obtained ratings, the representativeness of the pool of human raters, or the relevance of the content provided by the ranking model. The system uses the computed scores to modify the ranking model used to present content to its users for improving the relevance of the presented content.

Abstract: An online system predicts topics for content items. The online system provides one or more topic labels for a user to apply concurrently while a user is composing a post, in response to requests periodically received from the user's device. A request includes information such as content composed by the user and contextual information. The online system employs machine learning techniques to analyze content composed by a user and contextual information thereby to predict topic labels. Different machine learning models for classifying individual topic labels, identifying relevant topic labels, and/or detecting changes in existing topic predictions are developed. Some machine learning models predict topics for full content and some predict topics for partial content. The online system trains the machine learning models to ensure accurate topic predictions are provided timely. The online system employs various machine learning model training methods such as active training and gradient training.

Abstract: In one aspect, a method includes generating a functional subgraph of a network from a structural graph of the network. The structural graph comprises a set of vertices and structural connections between the vertices. Generating the functional subgraph includes identifying a directed functional edge of the functional subgraph based on presence of structural connection and directional communication of information across the same structural connection.

Abstract: A power semiconductor device is disclosed. In one example, the device comprises a semiconductor body coupled to a first load terminal and a second load terminal and comprising a drift region configured to conduct a load current between said terminals. The drift region comprises dopants of a first conductivity type. A source region is arranged in electrical contact with the first load terminal and comprises dopants of the first conductivity type. A channel region comprises dopants of a second conductivity. At least one power unit cell that includes at least one first type trench. The at least one power unit cell further includes a first mesa zone and a second mesa zone of the semiconductor body.

Abstract: An online system, such as a social networking system, displays a plurality of advertisements to users. The system selects an ad to display to a user based on a bidding system. The system receives feedback and user engagement data for an ad to compare the ad to other ads that are targeted to a similar group of users, to generate a relevance score. The relevance score can be provided to an advertiser as a way to quantify the effectiveness of the ad, and it reflects user engagement with the advertisement. In some embodiments, a projected relevance score can be calculated for a prospective advertisement by analyzing the content of the prospective ad prior to receiving user engagement data by comparing the prospective advertisement's content to other ads for which user engagement data does exist.

Abstract: A social networking system builds a quality controlled and desired population-representative pool of human raters to provide ratings on content items to improve a feed ranking model used for providing its users with more relevant content. The system identifies a pool of candidate human raters for providing ratings on a feed of content items. For each candidate human rater of the pool of candidate human raters, the system presents a feed of content items based on a feed ranking model, obtains ratings on the feed of content items, and determines a score representing the consistency of the obtained ratings, the representativeness of the pool of human raters, or the relevance of the content provided by the ranking model. The system uses the computed scores to modify the ranking model used to present content to its users for improving the relevance of the presented content.

Abstract: A social networking system builds a quality controlled and desired population-representative pool of human raters to provide ratings on content items to improve a feed ranking model used for providing its users with more relevant content. The system identifies a pool of candidate human raters for providing ratings on a feed of content items. For each candidate human rater of the pool of candidate human raters, the system presents a feed of content items based on a feed ranking model, obtains ratings on the feed of content items, and determines a score representing the consistency of the obtained ratings, the representativeness of the pool of human raters, or the relevance of the content provided by the ranking model. The system uses the computed scores to modify the ranking model used to present content to its users for improving the relevance of the presented content.