Abstract: Systems and methods are provided for acquiring training data and building an organizational-based language model based on the training data. In organizational data is generated via one or more applications associated with an organization, the collected organizational data is aggregated and filtered into training data that is used for training an organizational-based language model for speech processing based on the training data.

Abstract: Provided is a system and method for acquiring training data and building an organizational-based language model based on the training data. In one example, the method may include collecting organizational data that is generated via one or more applications associated with an organization, aggregating the collected organizational data with previously collected organizational data to generate aggregated organizational training data, training an organizational-based language model for speech processing based on the aggregated organizational training data, and storing the trained organizational-based language model.

Abstract: Provided is a system and method for acquiring training data and building an organizational-based language model based on the training data. In one example, the method may include collecting organizational data that is generated via one or more applications associated with an organization, aggregating the collected organizational data with previously collected organizational data to generate aggregated organizational training data, training an organizational-based language model for speech processing based on the aggregated organizational training data, and storing the trained organizational-based language model.

Abstract: Provided is a system and method for acquiring training data and building an organizational-based language model based on the training data. In one example, the method may include collecting organizational data that is generated via one or more applications associated with an organization, aggregating the collected organizational data with previously collected organizational data to generate aggregated organizational training data, training an organizational-based language model for speech processing based on the aggregated organizational training data, and storing the trained organizational-based language model.

Abstract: A method for site-specific modification of protein molecules includes providing a protein molecule having at least first and second non-terminal Cys residues at respective first and second sites within the protein molecule, providing a blocking molecule that is suitable to interact with the protein molecule to selectively block the second non-terminal Cys residue to prevent modifications of the second non-terminal Cys residue while leaving the first non-terminal Cys residue unblocked, and providing a Cys-modifying molecule that is suitable to modify the first non-terminal Cys residue. The blocking molecule according to an embodiment of the invention may be a protein molecule, DNA, an aptamer or synthetic organic molecules. The Cys-modifying molecule according to an embodiment of the invention may be a fluorophore, biotin, spin label, a sugar or a non-natural amino acid analogue.

Abstract: Embodiments, of email service and client synchronization are presented herein.

Abstract: A method for site-specific modification of protein molecules includes providing a protein molecule having at least first and second non-terminal Cys residues at respective first and second sites within the protein molecule, providing a blocking molecule that is suitable to interact with the protein molecule to selectively block the second non-terminal Cys residue to prevent modifications of the second non-terminal Cys residue while leaving the first non-terminal Cys residue unblocked, and providing a Cys-modifying molecule that is suitable to modify the first non-terminal Cys residue. The blocking molecule according to an embodiment of the invention may be a protein molecule, DNA, an aptamer or synthetic organic molecules. The Cys-modifying molecule according to an embodiment of the invention may be a fluorophore, biotin, spin label, a sugar or a non-natural amino acid analogue.

Abstract: Efficient processing of time-bound messages is described herein. In an implementation, messages are classified either time-bounded messages or non-time-bounded messages. The time-bounded messages are then processed separately from the non-time-bound messages. Examples of time-bounded messages can include spam e-mails or other types or classes of e-mails subject to a retention policy, such that the are retained only for some set period of time. Metadata relating to the time-bound messages are compiled and stored separately from the messages, thereby enabling optimization of the metadata storage and processing apart from the messages. The time-bounded messages are accumulated before they are processed in bulk, thereby reducing the number if I/O operations consumed by the time-bound messages, and reducing the amount and cost of resources supporting the process of the time-bounded messages.

Abstract: A method and system for dynamically configuring a server computer is provided. A global configuration file is utilized to configure a server computer on a per request basis. When a request is received at a server computer embodying aspects of the present invention, the server computer dynamically configures itself utilizing the contents of a global configuration file. The global configuration file contains configuration settings that may or may not be utilized by the server computer in configuring itself. To determine if particular configuration settings should be utilized by the server computer in configuring itself, the server computer parses rules also contained in the global configuration file. If a rule is evaluated as true, configuration settings associated with the rule are used by the server computer when configuring itself. The server computer can then respond to the request utilizing its dynamic configuration.