Abstract: Methods, systems and computer program products for providing automatic determination of recommended hyper-local data sources and features for use in modeling is provided. Responsive to training each model of a plurality of models, aspects include receiving client data, a use-case description and a selection of hyper-local data sources, generating a client data profile, determining feature importance and generating a use-case profile. Aspects also include generating a feature profile relation graph including client data profile nodes, hyper-local feature nodes and a use-case profile nodes, wherein each hyper-local feature node is associated with one or more client data profile nodes and user-case profile nodes by a respective edge having an associated edge weight. Responsive to receiving a new client data set and a new use-case description, aspects also include determining one or more hyper-local features as suggested hyper-local features for use in building a new model.

Abstract: The invention provides a device comprising: at least one biocompatible polymer, and an eutectic composition comprising a first agent and an agent capable of forming a eutectic composition with the first agent; or one or more fatty acids; or one or more fatty alcohols; or one or more fatty amines or combinations thereof. The device can be administered to a subject in need thereof an effective amount of one or more active agents. The at least one biocompatible polymer may be selected from the group comprising poly ethylene-vinyl-acetate, vinyl acetate, silicone, polycaprolactone, polylacticco-glycolic acid, polylactic acid or polyglycolic acid.

Abstract: Methods, systems and computer program products for facilitating use of select hyper-local data sets for improved modeling are provided. Aspects include receiving customer data associated with a customer by a workbench platform and determining an accuracy of a customer model using the customer data. For each of a plurality of hyper-local data sets, aspects also include determining an increase in model accuracy based on use of the hyper-local data set and the customer data. Aspects include identifying at least one group of hyper-local data sets of the plurality of hyper-local data sets that result in similar increases in model accuracy. Aspects also include facilitating use of a selected one or more of the hyper-local data sets of the at least one group of hyper-local data sets in generating an improved accuracy customer model.

Abstract: Methods, systems and computer program products for facilitating use of select hyper-local data sets for improved modeling are provided. Aspects include receiving customer data associated with a customer by a workbench platform and determining an accuracy of a customer model using the customer data. For each of a plurality of hyper-local data sets, aspects also include determining an increase in model accuracy based on use of the hyper-local data set and the customer data. Aspects include identifying at least one group of hyper-local data sets of the plurality of hyper-local data sets that result in similar increases in model accuracy. Aspects also include facilitating use of a selected one or more of the hyper-local data sets of the at least one group of hyper-local data sets in generating an improved accuracy customer model.

Abstract: Methods, systems and computer program products for providing automatic determination of recommended hyper-local data sources and features for use in modeling is provided. Responsive to training each model of a plurality of models, aspects include receiving client data, a use-case description and a selection of hyper-local data sources, generating a client data profile, determining feature importance and generating a use-case profile. Aspects also include generating a feature profile relation graph including client data profile nodes, hyper-local feature nodes and a use-case profile nodes, wherein each hyper-local feature node is associated with one or more client data profile nodes and user-case profile nodes by a respective edge having an associated edge weight. Responsive to receiving a new client data set and a new use-case description, aspects also include determining one or more hyper-local features as suggested hyper-local features for use in building a new model.

Abstract: A method, computer system, and a computer program product for predicting one or more travel paths for one or more mobile assets is provided. The present invention may include retrieving a set of input data. The present invention may then include predicting one or more spatio-temporal user profile flows based on the set of past user trajectory data and the plurality of user interests. The present invention may also include correlating the predicted one or more spatio-temporal user profile flows with the one or more mobile assets. The present invention may then include determining potential travel paths in one or more routes associated with a geographical region for one or more mobile assets and halting points for one or more mobile assets.

Abstract: A method and system for defining an interface of a service in a service-oriented architecture environment. Definitions of atomic tasks of a request or response operation included in a service are received. Unique identifiers corresponding to the atomic tasks are assigned. A sequence map required to implement the service is received. The sequence map is populated with a sequence of the assigned unique identifiers corresponding to a sequence of the atomic tasks of the operation. At runtime, an interface of the service is automatically and dynamically generated to define the service by reading the sequence of unique identifiers in the populated sequence map and assembling the sequence of the atomic tasks based on the read sequence of unique identifiers.

Abstract: A method and system for defining an interface of a service in a service-oriented architecture environment. Definitions of atomic tasks of a request or response operation included in a service are received. Unique identifiers corresponding to the atomic tasks are assigned. A sequence map required to implement the service is received. The sequence map is populated with a sequence of the assigned unique identifiers corresponding to a sequence of the atomic tasks of the operation. At runtime, an interface of the service is automatically and dynamically generated to define the service by reading the sequence of unique identifiers in the populated sequence map and assembling the sequence of the atomic tasks based on the read sequence of unique identifiers.

Abstract: A test kit and a biomedical process is provided to estimate metals particularly non-transferrin bound iron levels (NTBI) in circulating body fluids particularly, serum. NTBI appears in serum when there is excess iron in the body. The method comprises of employing a signal generating moiety capable of complexing with iron that is a peptide like molecule having an iron binding site and also an optical signal generating functional group. The molecule is of microbial origin. The measurement is based on the alteration of optical characteristics of the probe molecule upon attachment of iron to its binding site on the molecule. Hence it generates a signal proportionate to the amount of iron available for binding and provides a direct estimate of free or unbound iron in the sample. According to this instant invention a rapid estimation method of NTBI in body fluids can be undertaken in an inexpensive way without the need of specialized expertise.

Abstract: Private information is removed from dictation so that the transcriptionist never has access to the private information. A software program is used to first extract the private information and then later (after the transcription is completed by, for example, the transcriptionist) reinsert the removed private information back into the final report. This eliminates any possibility of a human in the transcription process accessing the private information.