The State University of New York

Oath Inc.

Bioventures, LLC

Steven S Skiena

Harald Rau

Eckard Wimmer

Steffen Mueller

Manjunath Srinivasaiah

Bruce Futcher

Chen Yang

Namrata Godbole

Yifan Hu

Baris Coskun

Meizhu Liu

Thomas G Robertazzi

Kai Wang

James Forrest

Amitabh Varshney

Gang Li

Francine Evans

Laurie Krug

Junting Ye

This invention provides highly attenuated influenza viruses and vaccines. The attenuated viruses and vaccines proliferate well and have high safety factors. The attenuated viruses providing protective immunity from challenge by virus of the same subtype, as well as cross protection against heterologous viruses.

Attenuated influenza viruses and vaccines

Provided herein are methods for generating reversion free attenuated and/or replication incompetent vaccine vectors and their use in vaccine compositions and vaccination. In particular, the use of a codon shuffled helper gene is used to produce compositions comprising replication incompetent virus.

Compositions and methods for generating reversion free attenuated and/or replication incompetent vaccine vectors

Communication accounts may contain information such as account holder names, contact lists, and communication logs. Such information may be processed for generating features that may be used as corpus for a machine learning algorithm for developing classifiers of names. Specifically, names and contact names of the accounts may be arranged in to a document according to the manner in which account holders communicate with the contacts. The document may be used for generating word embedding of the names. Names prelabeled with ethnicity together with their word embedding may be used as training data for developing ethnicity classifiers based on machine learning algorithms.

Name-based classification of electronic account users

Provided are an apparatus and method for load-balancing of a three-phase electric power distribution system having a multi-phase feeder, including obtaining topology information of the feeder identifying supply points for customer loads and feeder sections between the supply points, obtaining customer information that includes peak customer load at each of the points between each of the feeder sections, performing a phase balancing analysis, and recommending phase assignment at the customer load supply points.

Apparatus and method for optimal phase balancing using dynamic programming with spatial consideration

A method for determining a sentiment associated with an entity includes inputting a plurality of texts associated with the entity, labeling seed words in the plurality of texts as positive or negative, determining a score estimate for the plurality of words based on the labeling, re-enumerating paths of the plurality of words and determining a number of sentiment alternations, determining a final score for the plurality of words using only paths whose number of alternations is within a threshold, converting the final scores to corresponding z-scores for each of the plurality of words, and outputting the sentiment associated with the entity.

Large-scale sentiment analysis

Single stroke text entry via a telephone keypad is subject to ambiguities resulting from the overloading of three letters on one key. After text is entered the three letter per position code block represented by the key strokes for a word position is hashed to all matches in a stored dictionary type word list. The resulting word group of alternative word choices for that word position is subjected to probability analysis. Probabilities of usage of specific words are evaluated based on frequency of usage in the selected language, such as English. Syntax type probabilities of word sequencing are evaluated through (i) rules based on transitional probability of use of two particular words in sequence in English usage and (ii) rules based on probability of relative positioning of words of particular word categories (e.g., nouns and adjectives) in a sentence structure in English usage. A word trellis or lattice represents choice paths for alternative sentence structures. By selecting the path with the highest probability values, highly accurate sentence reconstruction is provided. In addition to use in the telephone keypad text entry context, described systems and methods are also applicable to a variety of word processing and other systems wherein computer stored text is subject to ambiguities as to intended words.

Sentence reconstruction using word ambiguity resolution

A system and method for entering text in a virtual environment by sensory gloves. The user enters a key that represents one or more letters by simulating a press of a keyboard in the gloves. The user calibrates the gloves by entering text, during which time the system establishes threshold values that represent simulated presses for each finger. After the initial calibration of the sensory gloves, the user enters text with simulated finger presses. The system distinguishes which movements are intended as simulated finger presses by examining the relative motions of fingers and maintaining dynamic thresholds. Errors are alleviated by providing feedback to the user, such as beeps and a visual display of the fingers and the current text. Because keys may represent more than one character, the system determines the intended text by probabilistic analysis and the Viterbi algorithm.

System and method for entering text in a virtual environment

Probabilities of usage of specific words are evaluated based on frequency of usage in the selected language, such as English. Syntax type probabilities of word sequencing are evaluated through (i) rules based on transitional probability of use of two particular words in sequence in English usage and (ii) rules based on probability of relative positioning of words of particular word categories (e.g., nouns and adjectives) in a sentence structure in English usage. A word trellis or lattice represents choice paths for alternative sentence structures. By selecting the path with the highest probability values, highly accurate sentence reconstruction is provided.

Single stroke text entry via a telephone keypad is subject to ambiguities resulting from the overloading of three letters on one key. After text is entered the three letter per position code block represented by the key strokes for a word position is hashed to all matches in a stored dictionary type word list. The resulting word group of alternative word choices for that word position is subjected to probability analysis. Probabilities of usage of specific words are evaluated based on frequency of usage in the selected language, such as English. Syntax type probabilities of word sequencing are evaluated through (i) rules based on transitional probability of use of two particular words in sequence in English usage and (ii) rules based on probability of relative positioning of words of particular word categories (e.g., nouns and adjectives) in a sentence structure in English usage. A word trellis or lattice represents choice paths for alternative sentence structures. By selecting the path with the highest probability values, highly accurate sentence reconstruction is provided. Communication with hearing impaired persons via any telephone keypad is facilitated by described systems and methods also applicable to a variety of systems wherein computer stored text is subject to ambiguities as to intended words.

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New York, NY, United States of America

Steven S Skiena