Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: The disclosure provides methods for generating reversion free attenuated and/or replication incompetent vaccine vectors and their use in vaccine compositions and vaccination.

Abstract: 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.

Abstract: This invention provides a modified protein encoding sequence containing nucleotide substitutions at multiple locations in the protein encoding sequence, wherein the substitutions introduce rare hexamers. These hexamers may be Frame Dependent, or depleted in only the reading frame, or Frame Independent, or depleted in all three frames. Modified protein encoding se quences of the present invention may include modified viruses useful for vaccines.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A computer implemented method and system for providing to a user (a manager) the effectiveness of an entity (employee or group of employees) by analyzing emails, social network data, CRM, calendar data, audio/video data, typing speed, galvanic skin response, etc. The computer method captures, analyzes and displays communication volumes, response times, and sentiment metrics, enabling the user to understand the effectiveness of an entity, optimal use of resources, trends, customer contact, collaboration patterns, security issues, entity turnover, entity health, and ideal work environments.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.