Abstract: Techniques for generating a dynamic treatment control policy for a cyber-physical system having one or more components, including a data collector for collecting data representative of the cyber-physical system, and adaptive stochastic controller including one or more models for generating a predicted value corresponding to available actions based on an objective function, and an approximate dynamic programming element configured to receive actual operation metrics corresponding to the available actions. The approximate dynamic programming element can learn a state-action map and generate a dynamic treatment control policy using the one or more models.

Abstract: A shadow network, which can be a virtual reproduction of a real, physical, base computer network, is described. Shadow networks duplicate the topology, services, host, and network traffic of the base network using shadow hosts, which are low interaction, minimal-resource-using host emulators. The shadow networks are connected to the base network through virtual switches, etc. in order to form a large obfuscated network. When a hacker probes into a host emulator, a more resource-intensive virtual machine can be swapped in to take its place. When a connection is attempted from a host emulator to a physical computer, the a host emulator can step in to take the place of the physical computer, and software defined networking (SDN) can prevent collisions between the duplicated IP addresses. Replicating the shadow networks within the network introduces problems for hackers and allows a system administrator easier ways to identify intrusions.

Abstract: A method for acquiring MRI signals includes: applying one or more than one RF pulse, which carries at least two frequency components, and a slice/slab selection gradient to a subject, so that at least two slices/slabs of the subject respectively corresponding to the at least two frequency components are excited simultaneously; applying a plurality of spatial encoding gradients; applying a plurality of separation gradients for separating the at least two slices/slabs; and applying at least one coherent refocusing gradient between the plurality of separation gradients.

Abstract: A manufacturing method for forming a touch device is disclosed. A substrate having a viewing region is provided. A plurality of first sensing electrodes are spaced apart from each other on the substrate corresponding to the viewing region. An insulating layer is formed on the plurality of first sensing electrodes. A plurality of second sensing electrodes are transfer-printed onto the insulating layer, wherein the plurality of second sensing electrodes are spaced apart from each other, and wherein the plurality of first sensing electrodes are in a staggered arrangement with the plurality of second sensing electrodes and insulated from the plurality of second sensing electrodes by the insulating layer. A touch device is also disclosed.

Abstract: Assays and methods for detecting and quantifying the activity of a test kinase. The assay includes a nucleotide phosphatase at least ten times more active on ADP than on ATP and a free phosphate detector. The assay may also include a control kinase and/or ATP. Methods of the invention include combining a test kinase, a substrate of the test kinase, and a known quantity of ATP under conditions to produce ADP, combining the produced ADP with a phosphatase specific for ADP, and measuring free phosphate. The amount of phosphate produced directly correlates to the activity of the kinase.

Abstract: A diffusion imaging method is provided. The diffusion imaging method includes performing a plurality of data collection sequences. Each data collection sequence includes applying an excitation radio frequency signal and a selection gradient. The excitation radio frequency signal includes a first set of frequency bands selected to simultaneously excite a first nuclei type in a plurality of cross sections of a subject. Each data collection sequence further includes applying a diffusion gradient during formation of a magnetic resonance signal, applying a spatial encoding gradient during formation of the magnetic resonance signal, and while acquiring the magnetic resonance signal, applying a separation gradient to change a frequency separation between portions of the magnetic resonance signal. The diffusion imaging method further includes computationally determining a diffusion image of each of the plurality of cross sections.

Abstract: A latch apparatus is disclosed comprising a latch supporting member and a latch member pivotally connected to the latch supporting member. The latch member comprises an extendable handle arm member. The latch apparatus further comprises a tray member connected to the latch supporting member and a cage member connected to the tray member. According to an exemplary embodiment, the latch member further comprises an engagement arm member comprising a first engaging member. Alternatively, the latch member further comprises a resilient member comprising a first engaging member. Moreover, the extendable handle arm member comprises a second engaging member. Furthermore, the latch supporting member comprises a third engaging member and a fourth engaging member. When the extendable handle arm member is in a latched position, the first engaging member is engaged with the cage member and the third engaging member, and the second engaging member is engaged with the fourth engaging member.

Abstract: A machine learning system for ranking a collection of filtered propensity to failure metrics of like components within an electrical grid that includes a raw data assembly to provide raw data representative of the like components within the electrical grid; (b) a data processor, operatively coupled to the raw data assembly, to convert the raw data to more uniform data via one or more data processing techniques; (c) a database, operatively coupled to the data processor, to store the more uniform data; (d) a machine learning engine, operatively coupled to the database, to provide a collection of propensity to failure metrics for the like components; (e) an evaluation engine, operatively coupled to the machine learning engine, to detect and remove non-complying metrics from the collection of propensity to failure metrics and to provide the collection of filtered propensity to failure metrics; and (f) a decision support application, operatively coupled to the evaluation engine, configured to display a ranking of

Abstract: Techniques for evaluating the accuracy of a predicted effectiveness of an improvement to an infrastructure include collecting data, representative of at least one pre-defined metric, from the infrastructure during first and second time periods corresponding to before and after a change has been implemented, respectively. A machine learning system can receive compiled data representative of the first time period and generate corresponding machine learning data. A machine learning results evaluator can empirically analyze the generated machine learning data. An implementer can implement the change to the infrastructure based at least in part on the data from a machine learning data outputer. A system performance improvement evaluator can compare the compiled data representative of the first time period to that of the second time period to determine a difference, if any, and compare the difference, if any, to a prediction based on the generated machine learning data.

Abstract: A kit for detecting or measuring glycosyltransferase activity including a first reagent comprising a phosphatase and a second reagent comprising a free phosphate detector, and method of detecting and measuring glycosyltransferase activity. A sugar donor, an acceptor substrate, a glycosyltransferase enzyme and a phosphatase are combined and the amount of free phosphate present in the product is measured and used to calculate the activity of the glycosyltransferase enzyme.

Abstract: A flow control device and a related cooled electronic system are provided. The electronic system comprises a first heat dissipation component and a second heat dissipation component. The flow control device controls an amount of an air flow to the first heat dissipation component and the second heat dissipation component. In one illustrative embodiment, the flow control device comprises: a memory metal component coupled to the first heat dissipation component and the second heat dissipation component and a movable component comprising a first end and a second end. The first end is coupled to a point between two ends of the memory metal component and the second end is movable with respect to the first end. In response to a temperature difference between the first heat dissipation component and the second heat dissipation component, the second end approaches the first heat dissipation component or the second heat dissipation component.

Abstract: A method and an apparatus for enhancing signals in magnetic resonance imaging are provided. The method includes the following steps. Applying one or more than one RF pulse, which carries at least two frequency components, and a slice/slab selection gradient to a subject, so that at least two slices/slabs of the subject respectively corresponding to the at least two frequency components are excited simultaneously. Applying a plurality of spatial encoding gradients and one or more than one separation gradients for separating the at least two slices/slabs. Receiving a plurality of responsive RF signals excited from the subject. The responsive RE signals are restored according to a signal restoration function.

Abstract: Electronically published compilations are provided. The compilations typically include a plurality of incumbent entries that are subject to replacement by candidate revisions through successive elections by an electorate of voters, e.g., human voters. Also provided are methods for improving existing compilations through elections. Election rules, history, dates and times, and election results may provide a measure of quality of the winning revision. Such compilations, when properly designed and implemented, may be viewed as an authoritative reference work that may ultimately serve as a “Rosetta Stone” for a semantic web.

Abstract: Assays and methods for detecting and/or quantifying activity of a test sulfotransferase comprising by releasing a free phosphate from the PAP produced by the sulfotransferase reaction and detecting the free phosphate. The assay can includes gPAPP, a free phosphate detector and an optional control sulfotransferase. The method includes combining a test sulfotransferase with the substrate of the sulfotransferase, PAPS and gPAPP and detecting the free phosphate. The level of free phosphate directly correlates to the activity of the sulfotransferase. The assay and methods can be used to screen agents for their effect upon sulfotransferase activity.

Abstract: A method for acquiring MRI signals includes: applying one or more than one RF pulse, which carries at least two frequency components, and a slice/slab selection gradient to a subject, so that at least two slices/slabs of the subject respectively corresponding to the at least two frequency components are excited simultaneously; applying a plurality of spatial encoding gradients; applying a plurality of separation gradients for separating the at least two slices/slabs; and applying at least one coherent refocusing gradient between the plurality of separation gradients.

Abstract: Electronically published compilations are provided. The compilations typically include a plurality of incumbent entries that are subject to replacement by candidate revisions through successive elections by an electorate of voters, e.g., human voters. Also provided are methods for improving existing compilations through elections. Election rules, history, dates and times, and election results may provide a measure of quality of the winning revision. Such compilations, when properly designed and implemented, may be viewed as an authoritative reference work that may ultimately serve as a “Rosetta Stone” for a semantic web.

Abstract: A magnetic resonance imaging (MRI) method is provided, including the steps of generating a wideband RF signal that has a plurality of frequency bands respectively corresponding to a plurality of different kinds of nuclei, to simultaneously excite the different kinds of nuclei, detecting a wideband responsive RF signal that has a plurality of frequency bands respectively emitted by the different kinds of nuclei, and reconstructing magnetic resonance images for the different kinds of nuclei based on the wideband responsive RF signal. An MRI apparatus employing the MRI method is also provided.

Abstract: A diffusion imaging method is provided. The diffusion imaging method includes performing a plurality of data collection sequences. Each data collection sequence includes applying an excitation radio frequency signal and a selection gradient. The excitation radio frequency signal includes a first set of frequency bands selected to simultaneously excite a first nuclei type in a plurality of cross sections of a subject. Each data collection sequence further includes applying a diffusion gradient during formation of a magnetic resonance signal, applying a spatial encoding gradient during formation of the magnetic resonance signal, and while acquiring the magnetic resonance signal, applying a separation gradient to change a frequency separation between portions of the magnetic resonance signal. The diffusion imaging method further includes computationally determining a diffusion image of each of the plurality of cross sections.

Abstract: Provided is a method for simultaneously acquiring magnetic resonance slices/slabs of a subject. The method comprises steps as follows. First, apply one or more than one RF pulse, which carries at least two frequency components, and a slice/slab selection magnetic field gradient so that at least two slices/slabs of the subject respectively corresponding to the at least two frequency components are excited simultaneously. Second, apply a spatial encoding magnetic field gradient. Third, apply a slice/slab separation magnetic field gradient so as to separate the at least two slices/slabs. The method according to the present invention can be used to acquire data for simultaneously reconstructing multiple slices/slabs. The method is compatible with existing MRI systems.

Abstract: The differential adiabatic compensation calorimeter comprises sample and reference containers, sample and reference temperature sensors connected back-to-back, in series, sample and reference compensating heaters coupled to the sample and reference containers, and a temperature-controlled chamber. In this differential adiabatic mixing and reaction calorimeter, the sample heat-sink heat loss to the sample container is compensated so that the exothermic reaction is conducted in an adiabatic state, resulting in an undistorted adiabatic process gaining the highest adiabatic temperature rise that corresponds to the theoretical value and an experimentally measured time to maximum rate value. The calorimeter is designed for measuring the time-resolved adiabatic temperature rise, the rate of temperature rise, the time to maximum temperature peak and time to maximum rate of an exothermic chemical reaction.