Abstract: A computer implemented method, apparatus, and computer usable program code for finding skills and resources for a chaotic event. Skills data for the chaotic event are organized. A determination is made whether the skills and the resources are available in response to a receiving an identification of the skills and the resources that are required to manage the chaotic event. The skills and the resources are optimized based on requirements and constraints, potential skills, and enabling resources to determine optimized skills and optimized resources. The availability of the optimized skills and the optimized resources are verified. The optimized skills and the optimized resources are reoptimized in response to a determination that the optimized skills and the optimized resources are unavailable.

Abstract: A first biasing potential is sent to a first input end of a first temperature coefficient of resistance (TCR) sensor having a first ground end coupled to a ground potential. A second biasing potential is sent to a second input end of a second TCR sensor having a second ground end coupled to the ground potential. The first and the second biasing potentials are changed to operate in a plurality of modes.

Abstract: A first biasing potential is sent to a first input end of a first temperature coefficient of resistance (TCR) sensor having a first ground end coupled to a ground potential. A second biasing potential is sent to a second input end of a second TCR sensor having a second ground end coupled to the ground potential. The first and the second biasing potentials are changed to operate in a plurality of modes.

Abstract: A water treatment composition capable of effectively adsorbing pollutants from water is described. The composition includes magnetic extractants, which comprise magnetite nanoparticles containing functional groups. The composition is used to remove from water and aqueous streams oils and other contaminants. A process for removing contaminants from water and apparatus used in the process are also described.

Abstract: A water treatment composition capable of effectively adsorbing pollutants from water is described. The composition includes magnetic extractants, which comprise magnetite nanoparticles containing functional groups. The composition is used to remove from water and aqueous streams oils and other contaminants. A process for removing contaminants from water and apparatus used in the process are also described.

Abstract: A water treatment composition capable of effectively adsorbing pollutants from water is described. The composition includes magnetic extractants, which comprise magnetite nanoparticles containing functional groups. The composition is used to remove from water and aqueous streams oils and other contaminants. A process for removing contaminants from water and apparatus used in the process are also described.

Abstract: A water treatment composition capable of effectively adsorbing pollutants from water is described. The composition includes magnetic extractants, which comprise magnetite nanoparticles containing functional groups. The composition is used to remove from water and aqueous streams oils and other contaminants. A process for removing contaminants from water and apparatus used in the process are also described.

Abstract: A water treatment composition capable of effectively adsorbing pollutants from water is described. The composition includes magnetic extractants, which comprise magnetite nanoparticles containing functional groups. The composition is used to remove from water and aqueous streams oils and other contaminants. A process for removing contaminants from water and apparatus used in the process are also described.

Abstract: A water treatment composition capable of effectively adsorbing pollutants from water is described. The composition includes magnetic extractants, which comprise magnetite nanoparticles containing functional groups. The composition is used to remove from water and aqueous streams oils and other contaminants. A process for removing contaminants from water and apparatus used in the process are also described.

Abstract: A water treatment composition capable of effectively adsorbing pollutants from water is described. The composition includes magnetic extractants, which comprise magnetite nanoparticles containing functional groups. The composition is used to remove from water and aqueous streams oils and other contaminants. A process for removing contaminants from water and apparatus used in the process are also described.

Abstract: A water treatment composition capable of effectively adsorbing pollutants from water is described. The composition includes magnetic extractants, which comprise magnetite nanoparticles containing functional groups. The composition is used to remove from water and aqueous streams oils and other contaminants. A process for removing contaminants from water and apparatus used in the process are also described.

Abstract: Methods, systems and computer program products for synthesizing diagnoses stored in healthcare databases are provided. A diagnosis query associated with a single patient or a group of patients is received. Query results are provided responsive to the diagnosis query. The query results may include diagnoses from multiple sources that are expressed in multiple standards formats.

Abstract: A method for optimally selecting a subset of decisions from a first plurality of decisions related to management of a chaotic event. The first plurality of decisions related to the chaotic event is received. A heuristic algorithm is used to eliminate a first subset of decisions. The first subset of decisions is in the first plurality of decisions. A second plurality of decisions is formed. The second plurality of decisions comprises the first plurality of decisions less the first subset of decisions. A mathematical optimization algorithm is then used to select a second subset of decisions. The second subset of decisions is within the second plurality of decisions. The mathematical optimization algorithm takes as input at least one constraint and chaotic event information. The second subset of decisions is stored.

Abstract: A computer implemented method, apparatus, and computer usable program code for managing a chaotic event. A management location is determined for managing a chaotic event in response to receiving an indication of the chaotic event. Resources necessary for managing the chaotic event are identified. The availability of the necessary resources is determined to form available resources. The available resources are optimized based on requirements and constraints to form optimized resources. The availability and cost of the optimized resources are verified. The chaotic event is managed from the management location using the optimized resources.

Abstract: A computer implemented method, apparatus, and computer usable program code for managing a chaotic event. A management location is determined for managing a chaotic event in response to receiving an indication of the chaotic event. Resources necessary for managing the chaotic event are identified. The availability of the necessary resources is determined to form available resources. The available resources are optimized based on requirements and constraints to form optimized resources. The availability and cost of the optimized resources are verified. The chaotic event is managed from the management location using the optimized resources.

Abstract: A computer-implemented method for creating optimized sub-projects for a project. Boundary conditions, input regarding output objects, and input regarding “as-is” data sources are received. The output objects are decomposed into data objects and logical processes used to create the output objects. Value clusters are determined. The data objects are organized into “to be” data structures and the “to be” which are mapped to the “as-is” data sources. Additional processes are determined for moving data from a source to a target. An affinity matrix is created based on the value clusters. Finally, an optimization operation is executed with an optimization engine to produce the optimized sub-projects. The optimization engine takes as inputs the above information.

Abstract: Method, system, and program product for managing research grants. This is done by capturing at least one grant description into a database. Next one or more of researcher capability, researcher availabilities, and research subject availabilities are entered into the database. The grant description is then text mined to identify matches between the grant descriptions and the data items. Then a gain is defined and determined for each such match. This gain is then tabulated.

Abstract: A method for optimally selecting a subset of decisions from a first plurality of decisions related to management of a chaotic event. The first plurality of decisions related to the chaotic event is received. A heuristic algorithm is used to eliminate a first subset of decisions. The first subset of decisions is in the first plurality of decisions. A second plurality of decisions is formed. The second plurality of decisions comprises the first plurality of decisions less the first subset of decisions. A mathematical optimization algorithm is then used to select a second subset of decisions. The second subset of decisions is within the second plurality of decisions. The mathematical optimization algorithm takes as input at least one constraint and chaotic event information. The second subset of decisions is stored.

Abstract: A computer-implemented method for creating optimized sub-projects for a project. Boundary conditions, input regarding output objects, and input regarding “as-is” data sources are received. The output objects are decomposed into data objects and logical processes used to create the output objects. Value clusters are determined. The data objects are organized into “to be” data structures and the “to be” which are mapped to the “as-is” data sources. Additional processes are determined for moving data from a source to a target. An affinity matrix is created based on the value clusters. Finally, an optimization operation is executed with an optimization engine to produce the optimized sub-projects. The optimization engine takes as inputs the above information.

Abstract: A computer implemented method, apparatus, and computer usable program code for finding skills and resources for a chaotic event. Skills data for the chaotic event are organized. A determination is made whether the skills and the resources are available in response to a receiving an identification of the skills and the resources that are required to manage the chaotic event. The skills and the resources are optimized based on requirements and constraints, potential skills, and enabling resources to determine optimized skills and optimized resources. The availability of the optimized skills and the optimized resources are verified. The optimized skills and the optimized resources are reoptimized in response to a determination that the optimized skills and the optimized resources are unavailable.