Abstract:
A technique of improving the hydrogenation reaction of diene-based polymers, present in aqueous suspension, by in-situ synthesizing the catalyst in the presence of a specific aliphatic alcohol is disclosed. The process allows the selective hydrogenation of the carbon-carbon double bonds in the diene-based polymers with a high degree of hydrogenation and short reactions times. The improved process eliminates the complicated catalyst synthesis operations so far necessary.
Abstract:
Certain embodiments may generally relate to a smart fault detection device for power grids, and a method of fault detection for power grids. A method may include receiving raw data samples of currents in grounding conductors and line conductors. The method may also include processing the raw data samples under at least one of a plurality of system operating modes. The method may also include monitoring normal operation and anticipating an impending fault while operating under at least one of the system operating modes. The method may further include extracting fault information based on the monitoring. The method may also include reporting the fault information to a supervisory control and data acquisition system human-machine interface. The method may further include anticipating faults based on an analysis of the raw data samples.
Abstract:
The present invention relates to functionalized copolymers of isoolefins and olefinic monomers, particularly to azidated copolymers. The present invention also relates to methods of preparing such azidated copolymers. The functionalized copolymers are used in various technology areas such as surface modification, adhesion, drug delivery, compatibilization of polymer blends or motor oil and fuel additives, and in providing clean cured products without contaminant leaching and/or side products.
Abstract:
The present invention provides a novel process for selectively hydrogenating the carbon-carbon double bonds in diene-based polymers which are present in latex form, this means as a suspension of diene-based polymer particles in an aqueous medium, using a Ruthenium or Osmium-based complex catalyst without any organic solvent.
Abstract:
The present invention relates to curing of polymers, particularly to self curing of polymers. The present invention provides a process for curing of copolymers of isoolefins and olefinic monomers. The process includes the step of reacting the copolymer with an azidation reagent to form an azidated copolymer and then heating the azidated copolymer at a suitable temperature to cure the polymer.
Abstract:
Disclosed is a mucoadhesive nanoparticle delivery system for delivering an immunosuppressant, such as cyclosporine A, to a mucosal site for treatment of a disease or condition involving inflammation or excess immune activity. The system comprises nanoparticles formed from a plurality of linear amphiphilic block copolymers, each having a hydrophobic block comprising polylactide (PLA) and a hydrophilic block comprising dextran. The nanoparticles are surface-functionalized with a mucosal targeting moiety, such as a phenylboronic acid derivative, for targeted delivery and enhanced retention at the mucosal site. Pharmaceutical compositions, methods, and uses thereof comprising the mucoadhesive nanoparticle delivery system are disclosed. The compositions can be administered in an effective amount for treating the disease or condition while substantially preserving or restoring the function and/or integrity of the mucosal lining. The composition may be formulated as an aqueous suspension for administration to an anterior surface of the eye in the treatment of dry eye syndrome.
Abstract:
The present invention relates to methods for determining the level of intermolecular interaction of a polymer based on the fraction of intermolecular interaction (finter) relative to the inter, total molecular interaction, which includes both intermolecular and intramolecular interactions. Further provided herein is a method of identifying a suitable viscosity index improver based on the value of finter. The identified suitable viscosity index improver can be used in a lubricating oil composition for, e.g., a power transmission system.
Abstract:
The present invention relates to methods for determining the level of intermolecular interaction of a polymer based on the fraction of intermolecular interaction (finter) relative to the inter, total molecular interaction, which includes both intermolecular and intramolecular interactions. Further provided herein is a method of identifying a suitable viscosity index improver based on the value of finter. The identified suitable viscosity index improver can be used in a lubricating oil composition for, e.g., a power transmission system.
Abstract:
A system for learning-model predictive control (LMPC) with multi-step prediction for motion control of a vehicle includes sensors and actuators. One or more control modules each having a processor, a memory, and input/output (I/O) ports are in communication with the sensors and actuators, the processor executing program code portions stored in the memory. The program code portions cause the sensors and actuators to obtain vehicle state information, receive a driver input, and generate a desired dynamic output based on the driver input and the vehicle state information. A program code portion estimates actions of the actuators based on the vehicle state information and the driver input, and utilizes the vehicle state information, the driver input, and the estimated actions of the actuators to select one or more models of a physics-based vehicle model and a machine-learning model of the vehicle to selectively adjust commands to the actuators.
Abstract:
A universal machine learning based system for estimating a vehicle state of a vehicle includes one or more controllers executing instructions to receive a plurality of dynamic variables and corresponding historical data. The controllers execute a sensitivity analysis algorithm to determine a sensitivity level for each dynamic variable and corresponding historical data and select two or more pertinent dynamic variables based on the sensitivity level of each dynamic variable and the corresponding historical data. The controllers standardize the two or more pertinent dynamic variables into a plurality of generic dynamic variables, wherein the plurality of generic dynamic variables are in a standardized format that is applicable to any configuration of vehicle, and estimate the vehicle state based on the plurality of generic dynamic variables by one or more machine learning algorithms.