Abstract: A system for identifying information in high dimensional, low latency streaming data having dynamically evolving data patterns. The system processes, continuously and in real-time, the streaming data. Processing includes filtering the data based on event data to identify diagnostic data points by comparing the event data with an experimental design matrix and performing a modeling operation using the identified diagnostic data points in order to identify efficiently any current and emerging patterns of relationships between at least one outcome variable and predictor variables. The at least one a-priori, pre-designed experimental design matrix is generated based on combinations of the predictor variables and at least one outcome variable. The experimental design matrix is also generated based on at least one of main effects, limitations, constraints, and interaction effects of the predictor variables and combinations.

Abstract: A system and method of awarding a participant with a real or virtual prize over a network, the system and method comprising present one or more details of a match in the session application to the participant over the network to the remote participant computer for selection of the match, wherein the match is associated with at least one prize type, receive a request from the participant to join the match, the request including a participation type associated with the participant and participant characteristics, determine participant eligibility to participate in the match and receive the at least one prize type associated with the match by comparing the prize type, participation type, and the participant characteristics with a set of eligibility requirements for the match, if the participant is eligible and achieves a win condition then award the participant the prize associated with the match and the prize type.

Abstract: A physically unclonable function (PUF) device and a method for maximizing existing process variation for a physically unclonable device are provided. The method of maximizing process variation of the PUF device includes: modeling a physically unclonable function (PUF) device, comprising a plurality of PUF cells, selecting the size of transistors in the PUF device to be smaller than a predetermined size defined according to a design rule check (DRC) and generate maximum variations among the plurality of PUF cells, varying the material of the PUF device, and driving the PUF device with a predetermined voltage. The physically unclonable device includes: a plurality of PUF cells, configured to generate an output. Each of the plurality of PUF cells includes a harvester circuit, configured to generate a bit line and a complementary bit line.

Abstract: Disclosed is a physical unclonable function generator circuit and testing method. In one embodiment, a physical unclonable function (PUF) generator includes: a PUF cell array comprising a plurality of bit cells configured in a plurality of columns and at least one row, wherein each of the plurality of columns is coupled to at least two pre-discharge transistors, and each of the plurality of bit cells comprises at least one enable transistor, at least two access transistors, and at least two storage nodes, and a PUF control circuit coupled to the PUF cell array, wherein the PUF control circuit is configured to access the plurality of bit cells to pre-charge the at least two storage nodes with substantially the same voltages allowing each of the plurality of bit cell having a first metastable logical state; to determine a second logical state; and based on the determined second logical states of the plurality of bit cells, to generate a PUF signature.

Abstract: A system, method, and computer-readable medium for extracting the samples from big data to extract most information about the relationships of interest between dimensions and variables in the data repository. More specifically, extracting information from lame data repositories follows an adaptive process that uses systematic sampling procedures derived from optimal experimental designs to target from a large data set specific observations with information value of interest for the analytic task under consideration. The application of adaptive optimal design to guide exploration of large data repositories provides advantages over known big data technologies.

Abstract: A system and method of awarding a participant with a real or virtual prize over a network, the system and method comprising present one or more details of a match in the session application to the participant over the network to the remote participant computer for selection of the match, wherein the match is associated with at least one prize type, receive a request from the participant to join the match, the request including a participation type associated with the participant and participant characteristics, determine participant eligibility to participate in the match and receive the at least one prize type associated with the match by comparing the prize type, participation type, and the participant characteristics with a set of eligibility requirements for the match, if the participant is eligible and achieves a win condition then award the participant the prize associated with the match and the prize type.

Abstract: A computer system may access data corresponding to a portfolio that comprises interest rate swaps and may calculate parameters for a compressed swap. The computer system may determine, based at least in part on the parameters for the compressed swap, a performance bond requirement attributable to the interest rate swaps. The computer system may compare the performance bond requirement to account data associated with a holder of the portfolio and may perform one or more additional actions based on the comparing.

Abstract: Disclosed is a physical unclonable function generator circuit and testing method. In one embodiment, a physical unclonable function (PUF) generator includes: a PUF cell array comprising a plurality of bit cells configured in a plurality of columns and at least one row, wherein each of the plurality of columns is coupled to at least two pre-discharge transistors, and each of the plurality of bit cells comprises at least one enable transistor, at least two access transistors, and at least two storage nodes, and a PUF control circuit coupled to the PUF cell array, wherein the PUF control circuit is configured to access the plurality of bit cells to pre-charge the at least two storage nodes with substantially the same voltages allowing each of the plurality of bit cell having a first metastable logical state; to determine a second logical state; and based on the determined second logical states of the plurality of bit cells, to generate a PUF signature.

Abstract: A system for generating algorithmic models comprising a function module to generate a desirability function, an automated machine learning module, and a UI module. The desirability function defines a single desirability value based on an algorithmic model accuracy criteria, criteria for algorithmic model quality, criteria for model fidelity, and criteria for the benefits and cost of model deployment. Specific hard and soft constraints regarding these and other user-defined criteria can also be specified by the user. The automated machine learning module generates an algorithmic model by training the algorithmic model against a model data set, identifying the model with the greatest desirability with respect to all criteria as combined via the desirability function. The UI module generates a user interface to display the overall desirability as well as all model criteria configured by the user. The displayed criteria and desirability are selectable and definable.

Abstract: A computer system may access data corresponding to a portfolio that comprises interest rate swaps and may calculate parameters for a compressed swap. The computer system may determine, based at least in part on the parameters for the compressed swap, a performance bond requirement attributable to the interest rate swaps. The computer system may compare the performance bond requirement to account data associated with a holder of the portfolio and may perform one or more additional actions based on the comparing.

Abstract: A system, method, and computer-readable medium for extracting the samples from big data to extract most information about the relationships of interest between dimensions and variables in the data repository. More specifically, extracting information from lame data repositories follows an adaptive process that uses systematic sampling procedures derived from optimal experimental designs to target from a large data set specific observations with information value of interest for the analytic task under consideration. The application of adaptive optimal design to guide exploration of large data repositories provides advantages over known big data technologies.

Abstract: A memory macro includes: word lines; memory cells arranged in an array, the array including rows and columns, the rows corresponding to the word lines, each memory cell being configured to receive a first reference voltage, and each column having voltage supply nodes corresponding to corresponding ones of the memory cells in the column; and switching circuits corresponding to the columns, each switching circuit being configured to selectively provide a first voltage value of a first voltage source or a second voltage value of a second voltage source to the voltage supply nodes; and wherein the first and second voltage values differ by a predetermined voltage value; each of the first and second voltage values is different than a second reference supply voltage; and the word lines are configured to receive the second voltage value as a voltage value representing a high logical value of the word lines.

Abstract: Provided herein are compounds, compositions and methods for balancing a T-helper cell profile and in particular Th1, Th2, Th17 and Treg cell profiles, and related methods and compositions for treating or preventing an inflammatory condition associated with an imbalance of a T-helper cell profile.

Abstract: Systems and methods for learning based control in accordance with embodiments of the invention are illustrated. One embodiment includes a method for training an adaptive controller. The method includes steps for receiving a set of training data that includes several training samples, wherein each training sample includes a state and a true uncertain effect value. The method includes steps for computing an uncertain effect value based on the state, computing a set of one or more losses based on the true uncertain effect value and the computed uncertain effect value, and updating the adaptive controller based on the computed set of losses.

Abstract: A crane mat is disclosed having a plurality of panels of lumber positioned in alternating transverse directions with respect to one another, where the top and bottom panels are oriented parallel to the direction of vehicular traffic. The top and bottom panels may include a plurality of spaced apart grooves extending longitudinally from a first longitudinal end of the crane mat to a second longitudinal end of the crane mat for enhancing traction of a vehicle when traversing across the crane mat by transporting rain or moisture off the mat, or for receiving mud or other debris. The crane mat may include a plurality of edge protectors positioned on respective sides of the crane mat to protect the crane mat from handling damage. In various embodiments, the crane mat may be manufactured using either softwood, hardwood, or any combination of softwood and hardwood.

Abstract: An Orthogonal Dual Port Ram (ORAM) memory cell may be provided. The ORAM memory cell may comprise a data storage element, a first port bit line, and a second port bit line that may be substantially perpendicular to first port bit line. The ORAM memory cell may further comprise a first word line that may be substantially perpendicular to first port bit line wherein the ORAM memory cell may be configured to read data from the data storage element to the first port bit line when the first word line is enabled. The ORAM memory cell may further comprise a second word line being substantially perpendicular to the second port bit line wherein the ORAM memory cell may be configured to read data from the data storage element to the second port bit line when the second word line is enabled.

Abstract: This invention is in the field of medical devices. Specifically, the present invention provides portable medical devices that allow real-time detection of analytes from a biological fluid. The methods and devices are particularly useful for providing point-of-care testing for a variety of medical applications. In particular, the medical device reduces interference with an optical signal which is indicative of the presence of an analyte in a bodily sample.

Abstract: Active noise reduction (ANR) headphones and associated methods are provided. The ANR headphones may include a memory to store a plurality of profiles each including controller information and acoustic parameters in addition to a profile selection routine executable by a processor of the ANR headphone. The profile selection routine may be configured to identify acoustic characteristics of a subject wearing the ANR headphone, compare the acoustic characteristics of the subject with the acoustic parameters of the plurality of profiles, select a profile from the plurality of profiles based on the comparison between the acoustic characteristics of the subject with the acoustic parameters of the selected profile, and provide the controller information of the selected profile to a noise reduction circuit of the ANR headphone.

Abstract: Disclosed is a physical unclonable function generator circuit and testing method. In one embodiment, a physical unclonable function (PUF) generator includes: a PUF cell array comprising a plurality of bit cells configured in a plurality of columns and at least one row, wherein each of the plurality of columns is coupled to at least two pre-discharge transistors, and each of the plurality of bit cells comprises at least one enable transistor, at least two access transistors, and at least two storage nodes, and a PUF control circuit coupled to the PUF cell array, wherein the PUF control circuit is configured to access the plurality of bit cells to pre-charge the at least two storage nodes with substantially the same voltages allowing each of the plurality of bit cell having a first metastable logical state; to determine a second logical state; and based on the determined second logical states of the plurality of bit cells, to generate a PUF signature.

Abstract: Disclosed is a physical unclonable function generator circuit and method.