Abstract: Systems, methods, and computer-readable media for electronically assessing a visual significance of pixels or regions in an electronic image are disclosed. A method includes receiving the electronic image, performing a composition analysis on the electronic image, the composition analysis includes partitioning the electronic image into a plurality of segments or a plurality of parts, constructing an attributed composition graph having a plurality of nodes, where each node corresponds to a segment or a part and where each node includes one or more attributes, modeling the visual significance of the electronic image based on the attributed composition graph using a statistical modeling process or a computational modeling process to obtain a plurality of values, and constructing a composition significance map having a significance score for each segment or each part according to the values obtained from the statistical modeling process or the computational modeling process.

Abstract: Methods for recovering monomers from polymers, such as polyurethanes (including thermoset polyurethanes) include heating the polymer to depolymerize the polymer and release the monomer. The monomer may be directly recovered. The polymer may include a poly(?-methyl-?-valerolactone) (PMVL) block and the monomer recovered may be ?-methyl-?-valerolactone (MVL).

Abstract: A transceiver station includes a first board and a second board. The first board includes an anchor cell L2 scheduler configured to schedule at least one of uplink and downlink transmissions for a multi-carrier user on only a first of the plurality of carriers. The second board includes a secondary cell L2 scheduler configured to schedule at least one of uplink and downlink transmissions for the multi-carrier user on only a second of the plurality of carriers, the second board being separate from, but interconnected with the first board.

Abstract: The invention features oligofluorinated cross-linked polymers and their use in the manufacture of articles and coating surfaces.

Abstract: Shape features in natural images influence emotions aroused in human beings. An in-depth statistical analysis helps to understand the relationship between shapes and emotions. Through experimental results on the International Affective Picture System (IAPS) dataset, evidence is presented as to the significance of roundness-angularity and simplicity-complexity on predicting emotional content in images. Shape features are combined with other state-of-the-art features to show a gain in prediction and classification accuracy. Emotions are modeled from a dimensional perspective in order to predict valence and arousal ratings, which have advantages over modeling the traditional discrete emotional categories. Images are distinguished vis-a-vis strong emotional content from emotionally neutral images with high accuracy.

Abstract: Satellite images from vast historical archives are analyzed to predict severe storms. We extract and summarize important visual storm evidence from satellite image sequences in a way similar to how meteorologists interpret these images. The method extracts and fits local cloud motions from image sequences to model the storm-related cloud patches. Image data of an entire year are adopted to train the model. The historical storm reports since the year 2000 are used as the ground-truth and statistical priors in the modeling process. Experiments demonstrate the usefulness and potential of the algorithm for producing improved storm forecasts. A preferred method applies cloud motion estimation in image sequences. This aspect of the invention is important because it extracts and models certain patterns of cloud motion, in addition to capturing the cloud displacement.

Abstract: Computationally efficient accelerated D2-clustering algorithms are disclosed for clustering discrete distributions under the Wasserstein distance with improved scalability. Three first-order methods include subgradient descent method with re-parametrization, alternating direction method of multipliers (ADMM), and a modified version of Bregman ADMM. The effects of the hyper-parameters on robustness, convergence, and speed of optimization are thoroughly examined. A parallel algorithm for the modified Bregman ADMM method is tested in a multi-core environment with adequate scaling efficiency subject to hundreds of CPUs, demonstrating the effectiveness of AD2-clustering.

Abstract: Shape features in natural images influence emotions aroused in human beings. An in-depth statistical analysis helps to understand the relationship between shapes and emotions. Through experimental results on the International Affective Picture System (IAPS) dataset, evidence is presented as to the significance of roundness-angularity and simplicity-complexity on predicting emotional content in images. Shape features are combined with other state-of-the-art features to show a gain in prediction and classification accuracy. Emotions are modeled from a dimensional perspective in order to predict valence and arousal ratings, which have advantages over modeling the traditional discrete emotional categories. Images are distinguished vis-a-vis strong emotional content from emotionally neutral images with high accuracy.

Abstract: Disclosed are compounds having the formula: wherein R1, R2, R3 and Z are as defined herein, and methods of making and using the same.

Abstract: Shape features in natural images influence emotions aroused in human beings. An in-depth statistical analysis helps to understand the relationship between shapes and emotions. Through experimental results on the International Affective Picture System (IAPS) dataset, evidence is presented as to the significance of roundness-angularity and simplicity-complexity on predicting emotional content in images. Shape features are combined with other state-of-the-art features to show a gain in prediction and classification accuracy. Emotions are modeled from a dimensional perspective in order to predict valence and arousal ratings, which have advantages over modeling the traditional discrete emotional categories. Images are distinguished vis-a-vis strong emotional content from emotionally neutral images with high accuracy.

Abstract: Methods for recovering monomers from polymers, such as polyurethanes (including thermoset polyurethanes) include heating the polymer to depolymerize the polymer and release the monomer. The monomer may be directly recovered. The polymer may include a poly(?-methyl-?-valerolactone) (PMVL) block and the monomer recovered may be ?-methyl-?-valerolactone (MVL).

Abstract: The invention features the use of a matrix consisting of low molecular weight components for use as a self-eliminating coating for implantable medical devices. The matrix coatings can be used to enhance biocompatibility and to control the local delivery of biologically active agents.

Abstract: Satellite images from vast historical archives are analyzed to predict severe storms. We extract and summarize important visual storm evidence from satellite image sequences in a way similar to how meteorologists interpret these images. The method extracts and fits local cloud motions from image sequences to model the storm-related cloud patches. Image data of an entire year are adopted to train the model. The historical storm reports since the year 2000 are used as the ground-truth and statistical priors in the modeling process. Experiments demonstrate the usefulness and potential of the algorithm for producing improved storm forecasts. A preferred method applies cloud motion estimation in image sequences. This aspect of the invention is important because it extracts and models certain patterns of cloud motion, in addition to capturing the cloud displacement.

Abstract: Systems, methods, and computer-readable media for electronically assessing a visual significance of pixels or regions in an electronic image are disclosed. A method includes receiving the electronic image, performing a composition analysis on the electronic image, the composition analysis includes partitioning the electronic image into a plurality of segments or a plurality of parts, constructing an attributed composition graph having a plurality of nodes, where each node corresponds to a segment or a part and where each node includes one or more attributes, modeling the visual significance of the electronic image based on the attributed composition graph using a statistical modeling process or a computational modeling process to obtain a plurality of values, and constructing a composition significance map having a significance score for each segment or each part according to the values obtained from the statistical modeling process or the computational modeling process.

Abstract: The invention features oligofluorinated cross-linked polymers and their use in the manufacture of articles and coating surfaces.

Abstract: Methods for recovering monomers from polymers, such as polyurethanes (including thermoset polyurethanes) include heating the polymer to depolymerize the polymer and release the monomer. The monomer may be directly recovered. The polymer may include a poly(?-methyl-?-valerolactone) (PMVL) block and the monomer recovered may be ?-methyl-?-valerolactone (MVL).

Abstract: A low capacitance transient voltage suppressor is disclosed. The transient voltage suppressor comprises a first diode with a first anode thereof coupled to an I/O port. A first cathode of the first diode and a second cathode of a second diode are respectively coupled to two ends of a resistor. A second anode of the second diode is coupled to a low-voltage terminal. A third anode and a third cathode of a third diode are respectively coupled to the second cathode and the resistor. The third diode induces a third parasitic capacitance smaller than a first capacitance of the first diode and a second parasitic capacitance of the second diode, and the third parasitic capacitance in series with the first and second parasitic capacitances dominate a small capacitance in a path during normal operation.

Abstract: Satellite images from vast historical archives are analyzed to predict severe storms. We extract and summarize important visual storm evidence from satellite image sequences in a way similar to how meteorologists interpret these images. The method extracts and fits local cloud motions from image sequences to model the storm-related cloud patches. Image data of an entire year are adopted to train the model. The historical storm reports since the year 2000 are used as the ground-truth and statistical priors in the modeling process. Experiments demonstrate the usefulness and potential of the algorithm for producing improved storm forecasts. A preferred method applies cloud motion estimation in image sequences. This aspect of the invention is important because it extracts and models certain patterns of cloud motion, in addition to capturing the cloud displacement.

Abstract: Methods for recovering monomers from polymers, such as polyurethanes (including thermoset polyurethanes) include heating the polymer to depolymerize the polymer and release the monomer. The monomer may be directly recovered. The polymer may include a poly(?-methyl-?-valerolactone) (PMVL) block and the monomer recovered may be ?-methyl-?-valerolactone (MVL).

Abstract: An integrated circuit common-mode electromagnetic interference filter incorporating electro-static discharge protection comprising two inductive coils is provided. A pair of primary and secondary spiral inductor coils is disposed corresponding to each other. A dielectric layer is used to separate the primary spiral inductor coil from the secondary spiral inductor coil electrically. Resistivity of a high-resistance substrate is more than 100 ?-cm for supporting the primary spiral inductor coil, the secondary spiral inductor coil and the dielectric layer thereon. The proposed filter structure can be formed in integrated circuit (IC) back-end processes and thus be extraordinarily advantageous of effectively eliminating electromagnetic interferences and having electrostatic protection effect at the same time, while having small footprint.