Abstract: A processor-implemented method, system, and/or computer program product defines multiple context-based conformed dimensional data gravity wells on a context-based conformed dimensional data gravity wells membrane. Conformed dimensional objects and synthetic context-based objects are parsed into n-tuples. A virtual mass of each parsed object is calculated, in order to define a shape of the multiple context-based conformed dimensional data gravity wells that are created when data objects that are pulled into each of the context-based conformed dimensional data gravity well frameworks on a context-based conformed dimensional gravity wells membrane.

Abstract: A computer implemented method, system, and/or computer program product provides hierarchical templates to optimize a configuration of an information technology (IT) infrastructure. A technology rule set, which defines technology weights of an IT infrastructure by mapping capabilities of IT infrastructure components to IT infrastructure attributes needed to execute a specific workload, is established. Hierarchical templates, which are tied to configuration logic for creating IT infrastructures, are sent to a user. Based on user-selected templates, a candidate IT infrastructure for executing the specific workload is configured. In response to determining that the candidate IT infrastructure fails to meet the customer's expectations, the candidate IT infrastructure is reconfigured until the customer's expectations are met.

Abstract: A method, system, and/or computer program product associates new contextual state information about a changed data structure with a beneficial target data. Event data, which describes an event that modifies a data structure, is incorporated into the data structure to create a changed data structure state. New contextual state information, which describes the changed data structure state, is generated and transmitted to multiple beneficial target data stores, wherein applying the new contextual state information to a particular beneficial target data affects an activity that utilizes the particular beneficial target data.

Abstract: A method, computer program product and system of minimizing epigenetic surprisal data either by comparing epigenetic surprisal data to a fixed baseline epigenetic data, so that all of the comparisons were made to the same baseline epigenetic data or by comparing epigenetic surprisal data to a rolling baseline of epigenetic surprisal data—that is, after each comparison the baseline is changed to the data from the time point which had been compared previously.

Abstract: A computer product and system of minimizing surprisal data comprising: at a source, reading and identifying characteristics of an organism's background associated with a genetic sequence of the organism; receiving an input of rank of at least two identified characteristics of the genetic sequence; generating a hierarchy of ranked, identified characteristics based on the rank of the identified characteristics; comparing the hierarchy of ranked, identified characteristics to a repository of reference genomes; and if at least one reference genome from the repository matches the ranked characteristics, breaking the matched reference genomes into pieces, combining pieces associated with the identified characteristics from the matched reference genome to form a filter pattern to be compared to the nucleotides of the genetic sequence of the organism. The differences from the comparison are used to create surprisal data representing an entire genome of the organism.

Abstract: A computer-implemented method, system, and/or computer program product monitors operational conditions of a cargo ship. A baseline composite vibration pattern is established from readings generated by multiple smart sensors. Each of the multiple smart sensors is a uniquely-identified smart sensor that has been affixed to one of multiple intermodal shipping containers that have been loaded onto a cargo ship, and each smart sensor includes a vibration sensor for detecting mechanical vibration. Subsequent readings are then taken from the multiple smart sensors to generate a new composite vibration pattern. In response to the new composite vibration pattern being different from the baseline composite vibration pattern, the new composite vibration pattern is matched with a known composite vibration pattern in order to identify a cause of the new composite vibration pattern.

Abstract: A method, in a multi-temporal widely distributed hardware and software transaction state and data state memory system, the steps comprising: creating an entry within the metadata layer for a first access to a data item within the data structure at a time-equals-zero state to create a time-equals-zero version branch of the data item in a graph structure of the data structure at a time-equals-zero time; updating the graph structure within the metadata layer when a copy-on-write overlay is generated by creating an additional branch connected to a same node as the time-equals-zero branch, storing a set of characteristics regarding the copy-on-write overlay within the metadata layer; updating the graph structure to reflect a status of propagated changes from the copy-on-write overlay to the plurality of computers; and storing a set of characteristics regarding the propagated changes to the plurality of computers.

Abstract: A method, system and computer program product for determining an optimized set of sales events for a company. The method including the steps of determining a sales event is in an area supported by the company; extracting sales event parameters regarding the sales event; extracting data regarding a state of an environment surrounding a party offering the sales event; determining a probability of the extracted data regarding a state of the environment surrounding the party and assigning weights to the extracted data will affect the awarding of the sales event to the company; and based on the determined probabilities, mapping the sales event parameters to industry solution ontology based on the probabilities of extracted data of the state of the environment surrounding the party that will affect the sales event from being awarded to the company by the party.

Abstract: Systems and computer program products for relating facts stored in healthcare databases are provided. At least two fact tables stored in a healthcare database including data meeting a criteria of interest are located. An identification key is assigned to the at least two fact tables including the located data meeting the criteria of interest. The identification key provides access to a dimension table including a list of subjects associated with the at least two fact tables including the located data meeting the criteria of interest so as to allow future identification of the subjects meeting the criteria of interest.

Abstract: A processor-implemented method, system, and/or computer program product defines multiple context-based conformed dimensional data gravity wells on a context-based conformed dimensional data gravity wells membrane. Conformed dimensional objects and synthetic context-based objects are parsed into n-tuples. A virtual mass of each parsed object is calculated, in order to define a shape of the multiple context-based conformed dimensional data gravity wells that are created when data objects that are pulled into each of the context-based conformed dimensional data gravity well frameworks on a context-based conformed dimensional gravity wells membrane.

Abstract: A method, system and computer program product for determining an optimized set of sales events for a company. The method including the steps of if a likelihood of the company being awarded the sale is greater than a predetermined probability: determining a weighted profitability from being awarded the sale; determining unavailability costs and penalties associated with providing the resource package if resources within the package are unavailable; determining a weighted overall cost by assigning weights to the costs and penalties of the resources in the resource package and the unavailability costs and penalties; selecting an optimized mathematical set of sales events to be followed up, based on the weighted overall cost relative to the weighted profitability from being awarded the sale.

Abstract: A computer hardware-implemented method, system, and/or computer program product prevents a cascading failure in a complex stream computer system causing an untrustworthy output from the complex stream computer system. Multiple upstream subcomponents in a complex stream computer system generate multiple outputs, which are used as inputs to a downstream subcomponent, wherein the multiple upstream subcomponents execute upstream computational processes. Each upstream computational process is examined to determine an accuracy of each identified output. An accuracy value is assigned to each of the multiple outputs from the upstream subcomponents, and weighting values are assigned to each of the inputs to the downstream subcomponent. The accuracy values and weighting values are utilized to dynamically adjust inputs to the downstream subcomponent until an output from the downstream subcomponent meets a predefined trustworthiness level.

Abstract: A processor-implemented method, system, and/or computer program product directs a user using a physiological sensor to a needed medical resource. A real-time state of a medical condition of a user is determined based on readings from a physiological sensor on a user. A processing system correlates the real-time state of the medical condition of the user to a medical resource, which has been predetermined to have a capability of ameliorating the real-time state of the medical condition of the user. Directions are then sent, to the user, for a temporally nearest medical resource that has been predetermined to have the capability of ameliorating the real-time state of the medical condition of the user.

Abstract: A method, computer program product, and system generating epigenetic cohorts for a specific time period through clustering of epigenetic surprisal data at a specific time comprising. receiving a phenotypic and/or demographic parameter and a cluster characteristics input from a user; searching the epigenetic surprisal data at a specific time for the parameter and storing matches in a repository; generating a cluster comprising a centroid for each parameter by populating the cluster based on the matches of the parameter with the epigenetic surprisal data at a specific time period; determining at least two epigenetic cohorts for a specific time period from the cluster for each parameter and based on the input from the user; and if the cohorts do not match the input of the user, reporting the cohorts determined to the user and returning to the step of receiving a parameter and characteristic input from a user.

Abstract: A context-based graph-relational intersect derived (CB-GRID) links a real entity graph node to a synthetic entity graph node. The real entity graph node comprises a pointer to a primary key in a first tuple that non-contextually describes the real entity. A primary relational database comprises the first tuple that non-contextually describes the real entity. A context relational database comprises a second tuple that contains a foreign key that matches the primary key in the primary relational database. The second tuple dynamically describes a context of data in the first tuple. A contextual entity relational database comprises a third tuple that contains data from the first tuple and the second tuple. The synthetic entity graph node describes a synthetic entity that is described by data in the third tuple, such that the contextual entity relational database links the real entity graph node to the synthetic entity graph node.

Abstract: A processor-implemented method, system, and/or computer program product securely accesses a specific data store. A non-contextual data object is associated with a context object to define a first synthetic context-based object. The non-contextual data object ambiguously describes multiple types of persons, and the context object provides a circumstantial context that identifies a specific type of person from the multiple types of persons. The first synthetic context-based object is associated with at least one specific data store in a data structure. A string of binary data that describes a requester of data, including a time window for receipt and security level of the requester, is received by a security module for generating a new synthetic context-based object. If there is a match between the new synthetic context-based object, the first synthetic context-based object, and the security level of the requester, then the data is returned to the requester.

Abstract: A processor-implemented method, system, and/or computer program product generate a recommendation to add a member to a receptivity cohort. A receptivity cohort is made up of members who share a conduct attribute, which is a facial expression, body language, and/or social interaction of a person. The conduct attribute has been predetermined to be an indicator of a level of receptiveness to a proposed future change in a set of circumstances. Biometric sensor data, which describe the facial expression, body language and/or social interaction for a candidate member, are retrieved from a set of biometric sensors. The retrieved biometric sensor data for the candidate member is compared to the conduct attribute of members of the receptivity cohort. In response to the biometric sensor data for the candidate member matching the conduct attribute of members of the receptivity cohort, a recommendation is generated to add the candidate member to the receptivity cohort.

Abstract: A Lab On a Chip (LOC) comprises: a sample inlet for receiving a liquid sample; and a Sample Preparation Module (SPM) coupled to the sample inlet. The SPM comprises: a mixing chamber; a reagent chamber containing a reagent; a semi-permeable membrane oriented between the mixing chamber and the reagent chamber; and a tuned energy source, wherein the tuned energy source selectively causes contents of the reagent chamber to expand and pass through the semi-permeable membrane into the mixing chamber to mix the reagent with the liquid sample. The LOC further comprises a microchannel coupled to the SPM; a light source; an optic module optically proximate to the microchannel; and a plurality of lenses within the optic module, wherein each lens has a different effective focal length for generating a single composite image of an object passing through the microchannel.

Abstract: A method, computer program product and system of detecting changes in hardware, software, or programming of a device in a computer system by a computer in the system coupled to the device through a network, without generating alerts or alerting unauthorized users of the detection of the changes.

Abstract: At least one attribute type associated with an individual in a first record of a first database and one or more similar attribute types in record(s) of other second database(s) are located. The attribute types compared. Based on the comparison, a first weighted score for the first record and another weighted score for each other records are computed. The weighted score indicates a likelihood the particular attribute type is associated with a same individual as other attribute type(s) located in other record(s) and further accounts for a time delta between measurements of the attribute types. Confidence score outputs for the records are also computed. The confidence score output of a record is based on all weighted scores of that record and indicates a likelihood that record is associated with the same individual. At least one database is updated based on at least one of the confidence score outputs.