Abstract: The present invention provides a composition comprising one or more than one isotactic, modified polypropylene (MPP) or polypropylene-?-olefin copolymer (MPP copolymer) and one or more than one polymer or resin, wherein said MPP or MPP copolymer is modified with one or more than one carboxyl or anhydride, preferably maleic acid or anhydride, or with one or more than one epoxy or hydroxyl group. Alternatively, the present invention provides a composition comprising an adduct which is the reaction product of one or more than one isotactic, modified polypropylene (MPP) or isotactic, modified polypropylene-?-olefin copolymer (MPP copolymer) with one or more than one carboxyl, anhydride, epoxy or hydroxyl functional reactant, polymer or resin.

Abstract: The present invention provides aqueous dispersion compositions comprising one or more than one of each of aqueous dispersions of water-dispersible polymers and aqueous nanocomposite dispersions of at least partially exfoliated layered silicates and water-insoluble polymers to enhance the thermal shock resistance of a waterborne coating, film, or article comprising the composition. Only 2 to 10 phr of the layered silicate, e.g. sodium montmorillonite surprisingly enhances thermal shock resistance. Optional fillers, such as nepheline syenite, may be added. Such compositions may be coated on automotive plastic, TPO or resinous substrates, and provide coatings having a 19 or greater thermal shock resistance according to Ford laboratory test method BI 107-05 when coated on TPO and baked for 15 minutes at from 74 to 90° C.

Abstract: A method and apparatus that processes time series, event and/or activity data of a process according to a data structure is disclosed. The data structure defines one or more activities that frame the time series, event and/or activity data. Each activity and each event has one or more attributes. Each attribute has a value. At least one of the attributes defines an interval of the activity by start and end times. Another attribute includes a time varying parameter that represents the time series data. Another attribute defines a time stamp of an event. The time varying parameter is linked to a device that produces the time series data when the process is run. The time series, event and/or activity data is collected and processed according to the data structure for storage in and/or retrieval from a memory.