Abstract: The present disclosure relates to a rhomboid-shaped double-sided turning insert having a convex cutting corner flanked by two flank faces, wherein the insert comprises, on each side: a rhomboid-shaped rake face opposite the face of the opposite side; a lateral cutting corner surface arranged adjoining and between the two flank faces; two flanking edges, each formed between a respective flank face and a rhomboid side of the rake face; a cutting edge formed by a straight primary cutting edge and a straight secondary cutting edge, formed between the lateral cutting corner surface and the rake face, arranged adjoining and between the two flanking edges, wherein the primary cutting edge is longer than the secondary cutting edge; and a chip-deflecting surface which is recessed and arranged inwardly of said cutting edge; wherein a lateral cutting corner surface of the insert, formed by the lateral cutting corner surfaces of a first and a second side, extends between the first side and second side cutting edges, wher

Abstract: A method for dynamic event detection based on content from a set of social networking systems including receiving content from the set of social networking systems, identifying a plurality of content associated with a geofence, the content that was generated within a predetermined time period, determining feature values from the plurality of content for each of a set of features, determining an event probability for the geofence based on the feature values, and detecting an event within the geofence in response to the event probability exceeding a threshold event probability.

Abstract: A method for dynamic event detection based on content from a set of social networking systems including receiving content from the set of social networking systems, identifying a plurality of content associated with a geofence, the content that was generated within a predetermined time period, determining feature values from the plurality of content for each of a set of features, determining an event probability for the geofence based on the feature values, and detecting an event within the geofence in response to the event probability exceeding a threshold event probability.

Abstract: The present invention describes a method capable of interpreting user-defined queries, translating them into a model of automata for data flow processing, planning the distribution of the computing between the nodes of a distributed system, identifying computations with high potential of memory consumption and, when identified, allocating appropriate data structures for each computation, allocating the amount of memory required to meet the specified error margin, distributing the computation between the active nodes of a distributed system, and synchronizing the partial results at each defined moment and releasing the final result.

Abstract: A method for dynamic event detection based on content from a set of social networking systems including receiving content from the set of social networking systems, identifying a plurality of content associated with a geofence, the content that was generated within a predetermined time period, determining feature values from the plurality of content for each of a set of features, determining an event probability for the geofence based on the feature values, and detecting an event within the geofence in response to the event probability exceeding a threshold event probability.

Abstract: A method for dynamic event detection based on content from a set of social networking systems including receiving content from the set of social networking systems, identifying a plurality of content associated with a geofence, the content that was generated within a predetermined time period, determining feature values from the plurality of content for each of a set of features, determining an event probability for the geofence based on the feature values, and detecting an event within the geofence in response to the event probability exceeding a threshold event probability.

Abstract: A node managing unit (11) selects, for an event associated with a sub-context of a specific context, an event distributing unit of a plurality of event distributing units (12, 13), which distributes events towards queues for the specific context. The selected event distributing unit selects a queue for the sub-context, which is associated with a rule engine unit of a plurality of rule engines units (17, 19), which comprises a rule execution unit associated with the specific context. A rule managing unit of the rule engine unit, which receives the event from the selected queue for the sub-context, selects the rule execution unit of the plurality of rule execution units, which is associated with the specific context, and delivers, to the selected rule execution unit, a particular rule of a rule set associated with the rule execution unit, within the associated sub-context.

Abstract: A method for dynamic event detection based on content from a set of social networking systems including receiving content from the set of social networking systems, identifying a plurality of content associated with a geofence, the content that was generated within a predetermined time period, determining feature values from the plurality of content for each of a set of features, determining an event probability for the geofence based on the feature values, and detecting an event within the geofence in response to the event probability exceeding a threshold event probability.

Abstract: A method for dynamic event detection based on content from a set of social networking systems including receiving content from the set of social networking systems, identifying a plurality of content associated with a geofence, the content that was generated within a predetermined time period, determining feature values from the plurality of content for each of a set of features, determining an event probability for the geofence based on the feature values, and detecting an event within the geofence in response to the event probability exceeding a threshold event probability.

Abstract: The disclosed embodiments relate to characterizing or quantifying an element or composition of interest within an imaged volume. In accordance with one embodiment, high and low energy images are acquired of a volume of interest using a polychromatic emission source. The high and low energy images are processed to generate monochromatic images. Based on the observed attenuation within the monochromatic images, one or more elements or compositions of interest are characterized within the imaged volume.

Abstract: A method of inferring presence of at least one protein in a sample includes entering a peptide training data set into a statistical inference model. The method further includes training the statistical inference model with the peptide training data set. The method further includes determining predicted detectability of at least one peptide present in the sample with the trained statistical inference model. The method further includes inferring the presence of the at least one protein in the sample based upon the determined predicted detectability. Methods for quantifying proteins present in a sample are also disclosed.

Abstract: The invention concerns peptides constituting T epitopes of EphA antigen, exhibited by MHC I. Said peptides are useful in particular in antitumoral immunotherapy.