Abstract: A process for component separation in a polymer production system, comprising (a) separating a polymerization product stream into a gas stream and a polymer stream, (b) contacting the polymer stream with a purge gas to yield a purged polymer and a spent purge gas comprising purge gas, ethylene, and ethane, (c) contacting the spent purge gas with a temperature swing adsorber contactor (TSAC) to yield a loaded TSAC, wherein at least a portion of the ethylene is adsorbed by the TSAC at a first temperature to yield TSAC-adsorbed ethylene, wherein a portion of the ethane is adsorbed by the TSAC at the first temperature to yield TSAC-adsorbed ethane, (d) heating the loaded TSAC to a second temperature to yield a regenerated TSAC, and (e) contacting the regenerated TSAC with a sweeping gas stream to yield a recovered adsorbed gas stream comprising sweeping gas, recovered ethylene and recovered ethane.

Abstract: A process for component separation in a polymer production system comprising: (a) separating a polymerization product into a gas stream and a polymer stream; (b) processing the gas stream in distillation columns to yield a light hydrocarbon stream (LHS) comprising ethylene and ethane; (c) contacting LHS with a purged hydrocarbon adsorber to yield a loaded hydrocarbon adsorber and a non-adsorbed gas stream, wherein ethane is adsorbed by the purged hydrocarbon adsorber at a first pressure to yield adsorbed ethane, and wherein the non-adsorbed gas stream comprises recovered ethylene; (d) contacting the loaded hydrocarbon adsorber with a sweeping gas stream at a second pressure to yield an unloaded hydrocarbon adsorber and a recovered adsorbed gas stream comprising the sweeping gas stream and desorbed ethane; and (e) contacting the unloaded hydrocarbon adsorber with the sweeping gas stream at the first pressure to yield the purged hydrocarbon adsorber and a spent sweeping gas.

Abstract: Embodiments facilitate greater flexibility in definition of user segments for targeted advertising, by employing indexed semantic user profiles. Semantic user profiles are built through extraction of online user behavior data such as user search queries and page views, and include user interest information that is inferred based on user behavior. Semantic user profiles are then indexed to facilitate search for a set of users that fit specified semantic search terms. Search results for semantic profiles are ranked according to a ranking model developed through machine learning. In some embodiments, building and indexing of semantic profiles and learning of the ranking model is performed offline to facilitate more efficient online processing of queries.

Abstract: Disclosed are systems and methods which provide a process stream comprising a gaseous component, capture the gaseous component from the process stream by an ionic liquid solvent of a separator, and recover a captured gaseous component from the ionic liquid solvent in a regenerator. A second gaseous component from the process stream may be captured by the ionic liquid solvent of the separator, and the second gaseous component may be recovered from the ionic liquid solvent in the regenerator. Alternatively, the second gaseous component from the process stream may be uncaptured by the ionic liquid solvent, and the uncaptured second gaseous component may be recovered from a membrane unit.

Abstract: Disclosed are a glycine reuptake inhibitor and the use thereof. The glycine reuptake inhibitor is a compound of formula I, or isomers, pharmaceutically acceptable salts or solvates thereof, wherein R1 is one or more groups selected from hydrogen, halogen, C1-6 alkyl, C1-6 alkoxy, nitro, cyano, amino, hydroxyl, C1-6 haloalkyl, and C1-6 haloalkoxy; R2 is selected from hydrogen, C1-6 alkyl, C1-6 alkoxy, C1-6 haloalkyl, and C1-6 haloalkoxy; and each of R3 and R4 is independently selected from hydrogen, halogen, C1-6 alkyl, C1-6 alkoxy, nitro, cyano, amino, hydroxyl, C1-6 haloalkyl, and C1-6 haloalkoxy.

Abstract: Techniques are described for generating structured information from semi-structured web pages, and retrieving the structured knowledge in response to a user query that indicates a query intent. The structured information is automatically extracted offline from semi-structured web pages, through the use of an auto wrapper solution that is noise tolerant, scalable, and automatic. The structured information is stored in a knowledge base, and provided in response to a user search query that indicates a query intent. Extraction of structured information may also include clustering of pages based on their measured similarities. The clusters may be determined based on similar elements in the tag path text data of the pages. A minimum size threshold may be applied to the clusters.

Abstract: Disclosed are systems and methods which provide a process stream comprising a gaseous component, capture the gaseous component from the process stream by an ionic liquid solvent of a separator, and recover a captured gaseous component from the ionic liquid solvent in a regenerator. A second gaseous component from the process stream may be captured by the ionic liquid solvent of the separator, and the second gaseous component may be recovered from the ionic liquid solvent in the regenerator. Alternatively, the second gaseous component from the process stream may be uncaptured by the ionic liquid solvent, and the uncaptured second gaseous component may be recovered from a membrane unit.

Abstract: A curable epoxy resin formulation useful for making an insulator for a high-voltage gas insulated switchgear, the curable formulation including (A) an epoxy resin composition comprising a mixture of: (A1) at least one solid epoxy resin, (A2) at least one novolac epoxy resin, and (A3) at least one cycloaliphatic epoxy resin; (B) at least one anhydride hardener; (C) at least one filler; and (D) optionally, at least one catalyst or at least one accelerator.

Abstract: The present invention relates to a norepinephrine and selective serotonin receptor blocker and the use thereof. The norepinephrine and selective serotonin receptor blocker is a compound of formula I, or isomers, pharmaceutically acceptable salts or solvates thereof, wherein R1 is selected from the group consisting of C1-6 alkyl, C1-6 alkoxy, C6-10 aralkyl, C6-10 arylalkoxy, C1-6 haloalkyl and C1-6 haloalkoxy; and R2 is one or more groups each independently selected from the group consisting of hydrogen, halogen, C1-6 alkyl, C1-6 alkoxy, nitro, cyano, amino, hydroxyl, C1-6 haloalkyl, and C1-6 haloalkoxy. R3 is one or more groups each independently selected from the group consisting of hydrogen, halogen, C1-6 alkyl, C1-6 alkoxy, nitro, cyano, amino, hydroxyl, C1-6 haloalkyl, and C1-6 haloalkoxy. The compound of the present invention is effective norepinephrine and selective serotonin receptor blocker.

Abstract: The present invention relates to a norepinephrine and selective serotonin receptor blocker and the use thereof. The norepinephrine and selective serotonin receptor blocker is a compound of formula I, or isomers, pharmaceutically acceptable salts or solvates thereof, wherein R1 is selected from the group consisting of C1-6 alkyl, C1-6 alkoxy, C6-10 aralkyl, C6-10 arylalkoxy, C1-6 haloalkyl and C1-6 haloalkoxy; and R2 is one or more groups each independently selected from the group consisting of hydrogen, halogen, C1-6 alkyl, C1-6 alkoxy, nitro, cyano, amino, hydroxyl, C1-6 haloalkyl, and C1-6 haloalkoxy. R3 is one or more groups each independently selected from the group consisting of hydrogen, halogen, C1-6 alkyl, C1-6 alkoxy, nitro, cyano, amino, hydroxyl, C1-6 haloalkyl, and C1-6 haloalkoxy. The compound of the present invention is effective norepinephrine and selective serotonin receptor blocker.

Abstract: One embodiment of the present invention provides a lock-and-key system for an electrical power plant. The system includes a plurality of locks and a smart key. A respective lock is installed with a standardized lock core, and the lock is associated with a lock identifier (ID). The smart key includes a key head that matches the standardized lock core; a lock-ID detector configured to detect the lock ID; a rotation stopper which, when enabled, is configured to prevent rotation of the key head while the key head is inserted into the standardized lock core; and a control module configured to disable the rotation stopper based on the detected lock ID, thereby facilitating the smart key to unlock the lock by rotating the key head.

Abstract: A smart user-centric information aggregation system allows a user to define a region of content displayed in a display of a device and performs information aggregation on behalf of the user. The smart user-centric information aggregation system searches, aggregates and groups information related to content included in the region of content for the user while the user can continue to perform his/her original course of actions without interruption. After finding information related to the desired content, the smart user-centric information aggregation system may notify the user and present the found information to the user upon receiving confirmation from the user. The smart user-centric information aggregation system may continue to find new related information and update the presentation with the newly found information periodically, in some instances without user intervention or input.

Abstract: A classification process may reduce the computational resources and time required to collect and classify training data utilized to enable a user to effectively access online information. According to some implementations, training data is established by defining one or more seed queries and query patterns. A bi-partite graph may be constructed using the seed query and query pattern information. A traversal of the bi-partite graph can be performed to expand the training data to encompass sufficient data to perform classification of the present search task.

Abstract: A method and apparatus for utilizing an amine-based absorption compound for flue gas, or combustion gas, CO2 capture, according to embodiments of the present invention. In some embodiments, CO2 is delivered from a wet, or dry, flue gas scrubber to an absorber. The amine-based absorption compound is introduced in an aqueous solution to the absorber, which is located downstream of the wet, or dry, flue gas scrubber. In some embodiments, the CO2-laden amine-based absorption compound is then subjected to a regeneration step to regenerate the CO2-laden amine-based absorption compound and strip out absorbed CO2. In some embodiments, energy is supplied to a stripper through a reboiler to accomplish the regeneration step.

Abstract: Transfer of learning trains a new domain for the classification of search queries according to different tasks, as well as the generation of a corresponding domain-specific query classifier that may be used to classify the search queries according to the different tasks in the new domain. The transfer of learning may include preparing a new domain to receive classification knowledge from one or more source domains by populating the new domain with preliminary query patterns extracted for a search engine log. The transfer of learning may further include preparing the classification knowledge in each source domain for transfer to the new domain. The classification knowledge in each source domain may then be transferred to the new domain.

Abstract: A smart user-centric information aggregation system allows a user to define a region of content displayed in a display of a device and performs information aggregation on behalf of the user. The smart user-centric information aggregation system searches, aggregates and groups information related to content included in the region of content for the user while the user can continue to perform his/her original course of actions without interruption. After finding information related to the desired content, the smart user-centric information aggregation system may notify the user and present the found information to the user upon receiving confirmation from the user. The smart user-centric information aggregation system may continue to find new related information and update the presentation with the newly found information periodically, in some instances without user intervention or input.

Abstract: Embodiments facilitate greater flexibility in definition of user segments for targeted advertising, by employing indexed semantic user profiles. Semantic user profiles are built through extraction of online user behavior data such as user search queries and page views, and include user interest information that is inferred based on user behavior. Semantic user profiles are then indexed to facilitate search for a set of users that fit specified semantic search terms. Search results for semantic profiles are ranked according to a ranking model developed through machine learning. In some embodiments, building and indexing of semantic profiles and learning of the ranking model is performed offline to facilitate more efficient online processing of queries.

Abstract: A knowledge extraction framework may iteratively enrich an ontology that is used to classify structured knowledge obtained from web pages based on structured knowledge previously acquired from other web pages. The framework may enable a user to define the ontology for extracting structured knowledge from a plurality of web pages. The framework applies the ontology using a supervised extraction algorithm to extract seed information from a set of web pages. The framework further applies an unsupervised extraction algorithm to extract the structured knowledge from an additional set of web pages. The framework subsequently maps the structured knowledge to the ontology based on the seed information to enrich the ontology.

Abstract: Embodiments facilitate greater flexibility in definition of user segments for targeted advertising, by employing indexed semantic user profiles. Semantic user profiles are built through extraction of online user behavior data such as user search queries and page views, and include user interest information that is inferred based on user behavior. Semantic user profiles are then indexed to facilitate search for a set of users that fit specified semantic search terms. Search results for semantic profiles are ranked according to a ranking model developed through machine learning. In some embodiments, building and indexing of semantic profiles and learning of the ranking model is performed offline to facilitate more efficient online processing of queries.

Abstract: Techniques are described for generating structured information from semi-structured web pages, and retrieving the structured knowledge in response to a user query that indicates a query intent. The structured information is automatically extracted offline from semi-structured web pages, through the use of an auto wrapper solution that is noise tolerant, scalable, and automatic. The structured information is stored in a knowledge base, and provided in response to a user search query that indicates a query intent. Extraction of structured information may also include clustering of pages based on their measured similarities. The clusters may be determined based on similar elements in the tag path text data of the pages. A minimum size threshold may be applied to the clusters.