Abstract: Dynamically modelling geospatial words in social media, in one aspect, generates a word set based on frequencies of words occurring in GPS annotated text data generated by a GPS-enabled device containing latitude and longitude coordinates. Locations are partitioned by mapping GPS coordinates in the GPS annotated text data to a set of discrete non-overlapped locations. A text stream contained in the GPS annotated text data is segmented into time windows. Footprints of locations in time windows are generated. Geospatial weights associated with words in the word set may be generated based on localness of words determined based on the footprints. Words in a text message are extracted and scores are determined for the set of discrete non-overlapped locations associated with the words.

Abstract: Dynamically modelling geospatial words in social media, in one aspect, generates a word set based on frequencies of words occurring in GPS annotated text data generated by a GPS-enabled device containing latitude and longitude coordinates. Locations are partitioned by mapping GPS coordinates in the GPS annotated text data to a set of discrete non-overlapped locations. A text stream contained in the GPS annotated text data is segmented into time windows. Footprints of locations in time windows are generated. Geospatial weights associated with words in the word set are generated based on localness of words determined based on the footprints. Words in a text message are extracted and scores are determined for the set of discrete non-overlapped locations associated with the words.

Abstract: Dynamically modelling geospatial words in social media, in one aspect, generates a word set based on frequencies of words occurring in GPS annotated text data generated by a GPS-enabled device containing latitude and longitude coordinates. Locations are partitioned by mapping GPS coordinates in the GPS annotated text data to a set of discrete non-overlapped locations. A text stream contained in the GPS annotated text data is segmented into time windows. Footprints of locations in time windows are generated. Geospatial weights associated with words in the word set are generated based on localness of words determined based on the footprints. Words in a text message are extracted and scores are determined for the set of discrete non-overlapped locations associated with the words.

Abstract: Dynamically modelling geospatial words in social media, in one aspect, generates a word set based on frequencies of words occurring in GPS annotated text data generated by a GPS-enabled device containing latitude and longitude coordinates. Locations are partitioned by mapping GPS coordinates in the GPS annotated text data to a set of discrete non-overlapped locations. A text stream contained in the GPS annotated text data is segmented into time windows. Footprints of locations in time windows are generated. Geospatial weights associated with words in the word set may be generated based on localness of words determined based on the footprints. Words in a text message are extracted and scores are determined for the set of discrete non-overlapped locations associated with the words.

Abstract: A microwave heating construct comprises a base, a wall extending upwardly around the base for defining a cavity for receiving a food item, and a microwave energy shielding element overlying a lower margin of the wall, the microwave energy shielding element having an upper edge including a substantially incurved portion.

Abstract: Compounds having a structure of Formula (IX): or a stereoisomer, tautomer or pharmaceutically acceptable salt thereof, wherein R1, R2a, R2b, R3a, R3b, R4a, R4b, Q1- - - -Q2, R6, R7, A, B, W, x, and y are as defined herein and are provided. Pharmaceutical compositions comprising such compounds and methods for treating various HAT-related conditions or diseases, including cancer, by administration of such compounds are also provided.

Abstract: Dynamically modelling geospatial words in social media, in one aspect, generates a word set based on frequencies of words occurring in GPS annotated text data generated by a GPS-enabled device containing latitude and longitude coordinates. Locations are partitioned by mapping GPS coordinates in the GPS annotated text data to a set of discrete non-overlapped locations. A text stream contained in the GPS annotated text data is segmented into time windows. Footprints of locations in time windows are generated. Geospatial weights associated with words in the word set are generated based on localness of words determined based on the footprints. Words in a text message are extracted and scores are determined for the set of discrete non-overlapped locations associated with the words.

Abstract: A soluble n-type copolymer that is useful in electronic and photonic devices. Embodiments of the invention include an n-type copolymer having a soluble n-type perylene copolymer having base formula A, where R is a backbone segment, where R1 and R2 are independently selected from the group consisting of alkyl, fluorinated alkyl, functionalized alkyl, aryl, fluorinated aryl, and functionalized aryl, and where n ranges from about 2 to 50,000.

Abstract: The invention provides novel compounds that may serve as anticancer therapeutics. The compounds of the invention bind to polo-like kinases through the polo-box domain. In certain embodiments, the compounds of the invention are POM-protected peptide derivatives. The use of cationic bis-alkyl his residues in combination with a mono POM-protected pho-phoryl group results in a peptide possessing an overall neutral charge. The peptide derivatives of the invention have achieved both good efficacy and an enhanced bioavailability. The invention also provides methods of use, compositions, and kits thereof. Further, the invention provides a novel method of design and/or synthesis of phosphoryl-derived peptide derivatives useful as therapeutic agents.

Abstract: A method of automating incoming message prioritization. The method including training a global classifier of a computer system using training data. Dynamically training a user-specific classifier of the computer system based on a plurality of feedback instances. Inferring a topic of the incoming message received by the computer system based on a topic-based user model. Computing a plurality of contextual features of the incoming message. Determining a priority classification strategy for assigning a priority level to the incoming message based on the computed contextual features of the incoming message and a weighted combination of the global classifier and the user specific classifier. Classifying the incoming message based on the priority classification strategy.

Abstract: A microwave energy interactive structure includes microwave energy interactive material supported on a microwave energy transparent substrate, and a plurality of spaced apart microwave energy transparent segments circumscribed by the microwave energy interactive material. The plurality of spaced apart microwave energy transparent segments define a pattern of loops that may be dimensioned to induce resonance of microwave energy during microwave heating of a food item on the structure. The structure may also include a plurality of microwave energy transparent elements that are operative as fuses to prevent overheating of the structure.

Abstract: An apparatus for automating a prioritization of an incoming message, including a batch learning module that generates a global classifier based on training data that is input to the batch learning module. A feedback learning module that generates a user-specific classifier based on a plurality of feedback instances. A feature extraction module that receives the incoming message and a topic-based user model, infers a topic of the incoming message based on the topic-based user model, and computes a plurality of contextual features of the incoming message. A classification module that dynamically determines a priority classification strategy for assigning a priority level to the incoming message based on the plurality of contextual features of the incoming message and a weighted combination of the global classifier and the user-specific classifier, and classifies the incoming message based on the priority classification strategy.

Abstract: The present invention relates to a method for treating or preventing an influenza virus type A infection, particularly by using an ATX inhibitor.

Abstract: A thin film transistor having a solution-processed n-type copolymer semiconductor material. A thin-film transistor (TFT) device including, an organic TFT device having at least one substrate, at least one gate electrode, at least one electrically-insulating dielectric material, at least one drain electrode, at least one source electrode, and at least one n-type solution-processable semiconductor material.