Abstract: A whole building air quality control system includes an indoor air quality (IAQ) component having at least one control state, a plurality of sensors configured to measure a plurality of building conditions of a building space, and a controller communicably coupled to the IAQ component and the plurality of sensors. The controller includes memory storing a desired air quality index (AQI). The AQI includes a categorical variable. The controller is configured to iteratively modify a control state of the IAQ component using a machine learning algorithm until the plurality of building conditions of the building space satisfy the desired AQI.

Abstract: A whole building air quality control system includes an indoor air quality (IAQ) component having at least one control state, a plurality of sensors configured to measure a plurality of building conditions of a building space, and a controller communicably coupled to the IAQ component and the plurality of sensors. The controller includes memory storing a desired air quality index (AQI). The AQI includes a categorical variable. The controller is configured to iteratively modify a control state of the IAQ component using a machine learning algorithm until the plurality of building conditions of the building space satisfy the desired AQI.

Abstract: A whole building air quality control system includes an indoor air quality (IAQ) component having at least one control state, a plurality of sensors configured to measure a plurality of building conditions of a building space, and a controller communicably coupled to the IAQ component and the plurality of sensors. The controller includes memory storing a desired air quality index (AQI). The AQI includes a categorical variable. The controller is configured to iteratively modify a control state of the IAQ component using a machine learning algorithm until the plurality of building conditions of the building space satisfy the desired AQI.

Abstract: A product display merchandiser comprising a support member, an intermediate member movably attached to the support member, and a product support attached to the intermediate member. The intermediate member is movable between at least a retracted position and an extended position.

Abstract: A programmed computer analyzes data from a mass spectrometer. A spectrum corresponding to an unknown sample is perturbed in various ways, and each perturbed spectrum is compared with the spectrum of a known or reference substance. The perturbed spectrum having the highest correlation with the known spectrum, and which is also physically plausible, is considered to be the best fit. The method indicates in what specific ways the unknown sample differs from, or is similar to, the known substance.

Abstract: A programmed computer analyzes data from a mass spectrometer. A spectrum corresponding to an unknown sample is perturbed in various ways, and each perturbed spectrum is compared with the spectrum of a known or reference substance. The perturbed spectrum having the highest correlation with the known spectrum, and which is also physically plausible, is considered to be the best fit. The method indicates in what specific ways the unknown sample differs from, or is similar to, the known substance.

Abstract: An analytical method and apparatus using principal component analysis of nuclear magnetic resonance (NMR) data for rapid molecular structure/function pattern recognition. The presence of a molecular substructure in an organic compound is determined by comparing principal components calculated from chemical shift values of the substructure in selected compounds with those calculated from the chemical shift values of the organic compound. Alternatively, principal components are calculated from the intensities of NMR signals for a full spectrum, or selected regions thereof, to determine whether an organic compound belongs to or is excluded from a set of structurally related compounds. Also, the presence of a pharmacophore in an organic compound can be determined by comparing the principal components derived from data on a set of compounds known to bind to a particular receptor, or have a common biological effect, with the principal components of the data set of the organic compound.

Abstract: A programmed computer analyzes data from a mass spectrometer. A spectrum corresponding to an unknown sample is perturbed in various ways, and each perturbed spectrum is compared with the spectrum of a known or reference substance. The perturbed spectrum having the highest correlation with the known spectrum, and which is also physically plausible, is considered to be the best fit. The method indicates in what specific ways the unknown sample differs from, or is similar to, the known substance.

Abstract: An analytical method and apparatus using principal component analysis of nuclear magnetic resonance (NMR) data for rapid molecular structure/function pattern recognition. The presence of a molecular substructure in an organic compound is determined by comparing principal components calculated from chemical shift values of the substructure in selected compounds with those calculated from the chemical shift values of the organic compound. Alternatively, principal components are calculated from the intensities of NMR signals for a full spectrum, or selected regions thereof, to determine whether an organic compound belongs to or is excluded from a set of structurally related compounds. Also, the presence of a pharmacophore in an organic compound can be determined by comparing the principal components derived from data on a set of compounds known to bind to a particular receptor, or have a common biological effect, with the principal components of the data set of the organic compound.