Abstract: The present disclosure advantageously refers to systems and methods for predicting an oil mixture's blend compatibility without mixing the components and/or without performing direct blend testing. The techniques described use a correlation between near infrared spectroscopic information, asphaltene solubility parameter Ra, and maltene solubility parameter Po to accurately predict blend compatibility using the equation P=Po(blend)/Ra(blend). A P?1 indicates the blend is compatible. These techniques are useful in, for example, refineries to predict and therefore reduce or eliminate fouling due to asphaltene deposits.

Abstract: The present disclosure advantageously refers to systems and methods for predicting an oil mixture's blend compatibility without mixing the components and/or without performing direct blend testing. The techniques described use a correlation between near infrared spectroscopic information, asphaltene solubility parameter Ra, and maltene solubility parameter Po to accurately predict blend compatibility using the equation P=Po(blend)/Ra(blend). A P?1 indicates the blend is compatible. These techniques are useful in, for example, refineries to predict and therefore reduce or eliminate fouling due to asphaltene deposits.

Abstract: A method is provided for predicting conjunct polymer concentration in spent ionic liquid during a continuous hydrocarbon conversion process.

Abstract: A method is provided for predicting conjunct polymer concentration in spent ionic liquid during a continuous hydrocarbon conversion process.

Abstract: Disclosed herein are compounds and compositions for treating or inhibiting RSV and related members of the pneumovirus and paramyxovirus families such as human metapneumovirus, mumps virus, human parainfluenzaviruses, and Nipah and hendra virus, and methods of treatment or prevention thereof.

Abstract: Disclosed herein are compounds and compositions for treating or inhibiting RSV and related members of the pneumovirus and paramyxovirus families such as human metapneumovirus, mumps virus, human parainfluenzaviruses, and Nipah and hendra virus, and methods of treatment or prevention thereof.

Abstract: Disclosed herein are compounds and compositions for treating or inhibiting RSV and related members of the pneumovirus and paramyxovirus families such as human metapneumovirus, mumps virus, human parainfluenzaviruses, and Nipah and hendra virus, and methods of treatment or prevention thereof.

Abstract: Disclosed herein are compounds and compositions for treating or inhibiting RSV and related members of the pneumovirus and paramyxovirus families such as human metapneumovirus, mumps virus, human parainfluenzaviruses, and Nipah and hendra virus, and methods of treatment or prevention thereof.

Abstract: Disclosed herein are compounds and compositions for treating or inhibiting RSV and related members of the pneumovirus and paramyxovirus families such as human metapneumovirus, mumps virus, human parainfluenzaviruses, and Nipah and hendra virus, and methods of treatment or prevention thereof.

Abstract: A method of estimating the relative concentration of at least two components contained in a mixture of the components is disclosed. At least two mixtures are produced by combining the at least two components, each of the at least two mixtures having different concentrations of the at least two components. NIR mixture spectra are acquired from each of the at least two mixtures. The NIR component spectra and the NIR mixture spectra are input into a computer utilizing chemometrics software and the spectra are analyzed to produce a calibration model for each component and each of the mixture NIR spectra. NIR monitored spectra for a monitored mixture of the components having an unknown concentration of the components is acquired. The calibration models are applied to the NIR monitored spectra to thereby estimate the concentration of at least one of the components in the monitored mixture.

Abstract: A method of estimating the relative concentration of at least two components contained in a mixture of the components is disclosed. At least two mixtures are produced by combining the at least two components, each of the at least two mixtures having different concentrations of the at least two components. NIR mixture spectra are acquired from each of the at least two mixtures. The NIR component spectra and the NIR mixture spectra are input into a computer utilizing chemometrics software and the spectra are analyzed to produce a calibration model for each component and each of the mixture NIR spectra. NIR monitored spectra for a monitored mixture of the components having an unknown concentration of the components is acquired. The calibration models are applied to the NIR monitored spectra to thereby estimate the concentration of at least one of the components in the monitored mixture.

Abstract: A multilingual database system is disclosed in which data can be searched and retrieved by a user whether or not that data is in the user's own language. The data to be stored in the database is first encoded according to a master (or universal) sort order.

Abstract: A method of facilitating the alphabetical dictionary sorting, by computer, of words based upon characters from a multilingual alphabet, especially the repertoire of characters defined in the new standard alphabet known as ISO 8859/1. This invention uses an encoding scheme to determine the language dependent sort orders for the characters defined in ISO 8859/1. This encoding scheme removes the dependency of sorting on the character set's internal collating representation. This method allows the same sorting software to support many (if not all) of the languages supported by the alphabet. By storing the language dependent sort orders as data files, the sorting software is immune to the user's language and hence is highly portable. The number of languages supported is directly proportional to the number of data files available.