Abstract: A computer-implemented semantic analysis system for ranking search results has instructions including the steps: receive a query about a first document authored by a person; read in data identifying the first document; read in a second document about the person authored after the first document; identify indicator terms in the second document related to whether or not there is a significant discrepancy between the second document and the first document; read in weighting factors for the identified indicator terms; determine an aggregate weighting factor that decreases with an increasing number of indicator terms found; and calculate a score of how much of a discrepancy there is between the second document and the first document using the weighting factors. When multiple first documents are returned for multiple persons, present the links in order from high score to low score.

Abstract: A computer-implemented semantic analysis system for ranking search results has instructions including the steps: receive a query about a first document authored by a person; read in data identifying the first document; read in a second document about the person authored after the first document; identify indicator terms in the second document related to whether or not there is a significant discrepancy between the second document and the first document; read in weighting factors for the identified indicator terms; determine an aggregate weighting factor that decreases with an increasing number of indicator terms found; and calculate a score of how much of a discrepancy there is between the second document and the first document using the weighting factors. When multiple first documents are returned for multiple persons, present the links in order from high score to low score.

Abstract: Disclosed are compounds of Formula 1, including all geometric and stereoisomers, N-oxides, and salts thereof, wherein Q is and A, R1, m, X1, X2, X3, X4, Y1, Y2 and Y3 are as defined in the disclosure. Also disclosed are compositions containing the compounds of Formula 1 and methods for controlling an invertebrate pest comprising contacting the invertebrate pest or its environment with a biologically effective amount of a compound or a composition of the invention.

Abstract: Disclosed are compounds of Formula 1, including all geometric and stereoisomers, N-oxides, and salts thereof, wherein Q is and A, R1, m, X1, X2, X3, X4, Y1, Y2 and Y3 are as defined in the disclosure. Also disclosed are compositions containing the compounds of Formula 1 and methods for controlling an invertebrate pest comprising contacting the invertebrate pest or its environment with a biologically effective amount of a compound or a composition of the invention.

Abstract: An artificial intelligence system for training a classifier has a database of training data and a modeling system for building a classification model based on the training data. The database has a binary classification for each entity and binary tokens indicating whether or not one or more indicators about the entity are true. The classification model is based on a tempered indication of the tokens. The tempered indication is a ratio of a weighted sum of the tokens for each entity divided by a tempering factor for each of the entities. The tempering factor is a function of the unweighted sum of the tokens for each entity. Thus, the tempering factor will reduce the tempered indication when large numbers of low weight tokens are present so that the model does not over predict the probability of an entity being in the classification.

Abstract: Disclosed are compounds of Formula 1, including all geometric and stereoisomers, N-oxides, and salts thereof, wherein Q is and A, R1, m, X1, X2, X3, X4, Y1, Y2 and Y3 are as defined in the disclosure. Also disclosed are compositions containing the compounds of Formula 1 and methods for controlling an invertebrate pest comprising contacting the invertebrate pest or its environment with a biologically effective amount of a compound or a composition of the invention.

Abstract: A computer-implemented semantic analysis system for ranking search results has instructions including the steps: receive a query about a first document authored by a person; read in data identifying the first document; read in a second document about the person authored after the first document; identify indicator terms in the second document related to whether or not there is a significant discrepancy between the second document and the first document; read in weighting factors for the identified indicator terms; determine an aggregate weighting factor that decreases with an increasing number of indicator terms found; and calculate a score of how much of a discrepancy there is between the second document and the first document using the weighting factors. When multiple first documents are returned for multiple persons, present the links in order from high score to low score.

Abstract: Disclosed are compounds of Formula 1, including all geometric and stereoisomers, N-oxides, and salts thereof, wherein Q is and A, R1, m, X1, X2, X3, X4, Y1, Y2 and Y3 are as defined in the disclosure. Also disclosed are compositions containing the compounds of Formula 1 and methods for controlling an invertebrate pest comprising contacting the invertebrate pest or its environment with a biologically effective amount of a compound or a composition of the invention.

Abstract: Embodiments generally relate to a measuring instrument. The measuring instrument may comprise: a sensor to measure a property of the local environment; a mechanism configured to cause the sensor to move along a predetermined path relative to a fixed reference frame of the instrument; and a signal processing system configured to receive a processor sensor signal generated by the sensor, perform a Fourier transform on the sensor signal to identify frequency components of the sensor signal, and compare the frequency components of the sensor signal with frequency components associated with the predetermined path to determine a measurement of the property of the local environment. The mechanism may comprise a first member having a first axis and a second axis that is different from the first axis. The mechanism may be configured to cause the first member and the sensor to rotate about the first axis, and to cause the sensor to rotate about the second axis. The sensor may be spatially offset from the first axis.

Abstract: Disclosed are compounds of Formula 1, including all geometric and stereoisomers, N-oxides, and salts thereof, wherein Q is and A, R1, m, X1, X2, X3, X4, Y1, Y2 and Y3 are as defined in the disclosure. Also disclosed are compositions containing the compounds of Formula 1 and methods for controlling an invertebrate pest comprising contacting the invertebrate pest or its environment with a biologically effective amount of a compound or a composition of the invention.

Abstract: Disclosed are compounds of Formula 1, including all geometric and stereoisomers, N-oxides, and salts thereof, wherein Q is and A, R1, m, X1, X2, X3, X4, Y1, Y2 and Y3 are as defined in the disclosure. Also disclosed are compositions containing the compounds of Formula 1 and methods for controlling an invertebrate pest comprising contacting the invertebrate pest or its environment with a biologically effective amount of a compound or a composition of the invention.

Abstract: Embodiments generally relate to a measuring instrument. The measuring instrument may comprise: a sensor to measure a property of the local environment; a mechanism configured to cause the sensor to move along a predetermined path relative to a fixed reference frame of the instrument; and a signal processing system configured to receive a processor sensor signal generated by the sensor, perform a Fourier transform on the sensor signal to identify frequency components of the sensor signal, and compare the frequency components of the sensor signal with frequency components associated with the predetermined path to determine a measurement of the property of the local environment. The mechanism may comprise a first member having a first axis and a second axis that is different from the first axis. The mechanism may be configured to cause the first member and the sensor to rotate about the first axis, and to cause the sensor to rotate about the second axis. The sensor may be spatially offset from the first axis.

Abstract: An artificial intelligence expert system detects an anomaly between an application and a publication provided by an applicant in a given class. The system calculates an application score then uses a decision tree to determine a publication score based on the presence or absence of tokens in the publication. An anomaly is detected when the ratio of the application score to the publication score is greater than a threshold value. The decision tree is trained using prior applications in the same class. The publication score of each leaf node of the decision tree is set equal to an average application score of the prior applications associated with the leaf node.

Abstract: An artificial intelligence system for training a classifier has a database of training data and a modeling system for building a classification model based on the training data. The database has a binary classification for each entity and binary tokens indicating whether or not one or more indicators about the entity are true. The classification model is based on a tempered indication of the tokens. The tempered indication is a ratio of a weighted sum of the tokens for each entity divided by a tempering factor for each of the entities. The tempering factor is a function of the unweighted sum of the tokens for each entity. Thus the tempering factor will reduce the tempered indication when large numbers of low weight tokens are present so that the model does not over predict the probability of an entity being in the classification.

Abstract: Disclosed are compounds of Formula 1, including all geometric and stereoisomers, N-oxides, and salts thereof, wherein Q is and A, R1, m, X1, X2, X3, X4, Y1, Y2 and Y3 are as defined in the disclosure. Also disclosed are compositions containing the compounds of Formula 1 and methods for controlling an invertebrate pest comprising contacting the invertebrate pest or its environment with a biologically effective amount of a compound or a composition of the invention.

Abstract: Disclosed are compounds of Formula 1, including all geometric and stereoisomers, N-oxides, and salts thereof, wherein Q is and A, R1, m, X1, X2, X3, X4, Y1, Y2 and Y3 are as defined in the disclosure. Also disclosed are compositions containing the compounds of Formula 1 and methods for controlling an invertebrate pest comprising contacting the invertebrate pest or its environment with a biologically effective amount of a compound or a composition of the invention.

Abstract: Disclosed are compounds of Formula 1, including all geometric and stereoisomers, N-oxides, and salts thereof, wherein Q is and A, R1, m, X1, X2, X3, X4, Y1, Y2 and Y3 are as defined in the disclosure. Also disclosed are compositions containing the compounds of Formula 1 and methods for controlling an invertebrate pest comprising contacting the invertebrate pest or its environment with a biologically effective amount of a compound or a composition of the invention.

Abstract: An artificial intelligence expert system for screening provides characteristic profiles to candidates to perform a particular task. The profiles have individual screening items within them that are expected to be related to whether or not a person is suitable for the task. The responses from the persons to the items are received by a computer implemented expert system. The expert system applies a combined model to the responses to generate a forecasted performance of the person to the task. The combined model is a linear combination of two or more path dependent regressions performed on data from a set of N training persons with known abilities to do the task. The number of parameters in each path dependent model is limited to a fraction of the number N so that the path dependent models are not over fit to the data. A suitable fraction is ?.

Abstract: Compounds of Formula I, and their N-oxides and agriculturally suitable salts, are disclosed which are useful for controlling undesired vegetation wherein R1 is cyclopropyl optionally substituted with 1-5 R5, isopropyl optionally substituted with 1-5 R6, or phenyl optionally substituted with 1-3 R7; R2 is ((O)jC(R15)(R16))kR; R is CO2H or a herbicidally effective derivative of CO2H; R3 is halogen, cyano, nitro, OR20, SR21 or N(R22)R23; R4 is —N(R24)R25 or —NO2; j is 0 or 1; and k is 0 or 1; provided that when k is 0, then j is 0; and R5, R6, R7, R15, R16, R20, R21, R22, R23, R24 and R25 are as defined in the disclosure. Also disclosed are compositions comprising the compounds of Formula I and a method for controlling undesired vegetation which involves contacting the vegetation or its environment with an effective amount of a compound of Formula I.

Abstract: Compounds of Formula I, and their N-oxides and agriculturally suitable salts, are disclosed which are useful for controlling undesired vegetation wherein R1 is cyclopropyl optionally substituted with 1-5 R5, isopropyl optionally substituted with 1-5 R6, or phenyl optionally substituted with 1-3 R7; R2 is ((O)jC(R15)(R16))kR; R is CO2H or a herbicidally effective derivative of CO2H; R3 is halogen, cyano, nitro, OR20, SR21 or N(R22)R23; R4 is —N(R24)R25 or —NO2; j is 0 or 1; and k is 0 or 1; provided that when k is 0, then j is 0; and R5, R6, R7, R15, R16, R20, R21, R22, R23, R24 and R25 are as defined in the disclosure. Also disclosed are compositions comprising the compounds of Formula I and a method for controlling undesired vegetation which involves contacting the vegetation or its environment with an effective amount of a compound of Formula I.