Abstract:
The present invention relates to the treatment of Epidermolysis Bullosa, particularly the recessive dystrophic subtype (RDEB), using the Clustered- Regularly Interspaced Short Palindromic Repeats (CRISPR) system. This technology offers the possibility to design a single guide RNA (sgRNA) which is incorporated into a CRISPR- associated protein (Cas9) to recognize and induce DNA double-strand breaks at a specific target location. DNA double-strand breaks will be repaired by homologous recombination (HR) in the presence of a donor sequence for Epidermolysis Bullosa gene repair. In the context of Epidermolysis Bullosa, this allows to repair the mutation/s causing the disease.
Abstract:
Systems and methods for representing and diagnosing interaction sequences in accordance embodiments of the invention are disclosed. In one embodiment of the invention, a group interaction diagnosis and recommendation server system includes a processor and a memory configured to store a set of reference interaction data, where the reference interaction data includes a set of reference interaction sequences, wherein a group interaction diagnosis application configures the processor to obtain a set of group interaction data, generate an interaction model based on the group interaction data and an interaction dynamics language, determine at least one interaction sequence within the set of group interaction data based on the generated interaction model, identify at least one matching interaction sequence within the determined at least one interaction sequence, and recommend at least one improved interaction sequence based on the identified at least one matching interaction sequence and the set of reference interaction data.
Abstract:
In a fuel cell comprising a tubular casing, an electrolyte layer received in the tubular casing, and a pair of gas diffusion electrodes interposing the electrolyte layer and defining a fuel gas passage and an oxidizing gas passage, respectively, each gas diffusion electrode is formed by stacking a plurality of layers of material therefor, for instance in the axial direction of the casing. Because the gas diffusion layers are formed layer by layer, components can be formed in highly fine patterns so that a highly compact tubular fuel cell can be achieved. Similarly, the dimensions of the various elements of the fuel cell can be controlled in a highly accurate manner. Also, the geometric arrangement can be changed at will in intermediate parts of each gas passage.
Abstract:
Invertebrate and vertebrate patched genes are provided, including the mouse and human patched genes, as well as methods for isolation of related genes, where the genes may be of different species or in the same family. Having the ability to regulate the expression of the patched gene, allows for the elucidation of embryonic development, cellular regulation associated with signal transduction by the patched gene, the identification of agonist and antagonist to signal transduction, identification of ligands for binding to patched, isolation of the ligands, and assaying for levels of transcription and expression of the patched gene.
Abstract:
Systems and methods for imaging object velocity are provided. In an embodiment, at least one Time-of-Flight camera is used to capture a signal representative of an object in motion over an exposure time. Illumination and modulation frequency of the captured motion are coded within the exposure time. A change of illumination frequency is mapped to measured pixel intensities of the captured motion within the exposure time, and information about a Doppler shift in the illumination frequency is extracted to obtain a measurement of instantaneous per pixel velocity of the object in motion. The radial velocity information of the object in motion can be simultaneously captured for each pixel captured within the exposure time. In one or more aspects, the illumination frequency can be coded orthogonal to the modulation frequency of the captured motion. The change of illumination frequency can correspond to radial object velocity.
Abstract:
A method of reducing radiation dose for radiology imaging modalities and nuclear medicine by using a convolutional network to generate a standard-dose nuclear medicine image from low-dose nuclear medicine image, where the network includes N convolution neural network (CNN) stages, where each stage includes M convolution layers having K×K kernels, where the network further includes an encoder-decoder structure having symmetry concatenate connections between corresponding stages, downsampling using pooling and upsampling using bilinear interpolation between the stages, where the network extracts multi-scale and high-level features from the low-dose image to simulate a high-dose image, and adding concatenate connections to the low-dose image to preserve local information and resolution of the high-dose image, the high-dose image includes a dose reduction factor (DRF) equal to 1 of a radio tracer in a patient, the low-dose PET image includes a DRF of at least 4 of the radio tracer in the patient.
Abstract:
Described herein are systems and methods for performing multi-stage detection and classification of cancer regions from digitized images of biopsy slides. Novel methods for processing the digitized images to improve feature extraction and structure identification are disclosed, including but not limited to the use of quaternions, logarithmic mappings of color channels, and application of wavelets to logarithmic color channel mappings. The extracted features are utilized in improved machine learning algorithms that are further optimized to analyze multiple color channels in multiple dimensions. The improved machine learning algorithms include techniques for accelerating the training of the algorithms, making their application to biopsy detection and classification practical for the first time. The performance of the described systems and methods are further improved by the disclosure of a novel multistage machine learning scheme, in which additional classifiers are utilized to choose among the classes proposed by other classifiers in close cases.
Abstract:
A method for design of a multi-objective least conservative robust controller to control a plant or a process which may be modeled imperfectly. It comprises a robust analysis step and a robust multi-objective controller synthesis step using Q-parameterization control design technique. In one embodiment of the invention, the K-step of standard D-K iteration for mu-synthesis is replaced by a Q-parameterization control design step. The Q-step optimization problem formulation comprises a standard robustness measure and one or a plurality of other performance measures. During the iteration, the Q-step optimization problem formulation can be changed. In another embodiment, a controller satisfying a level of robustness measure is first found. Then, a Q-parameterization control design step is performed, such that one or plurality of the other performance measures are optimized, while still satisfying a level of robustness measure which is the same with, or slightly traded-off from the previous level of robustness measure. In all embodiments of the invention, if the robustness measure in the Q-step is formulated based on frequency-gridding, the problematic D-step curve fitting process in standard D-K iteration can be avoided. In addition, a least-conservative non-parametric plant uncertainty weights can incorporated directly without curve-fitting. Therefore the difficulties of curve-fitting and the conservativeness due to curve-fitting in standard D-K iteration can both be eliminated.
Abstract:
A novel capacitively coupled NDR device can be used to implement a variety of semiconductor circuits, including high-density SRAM cells and power thyristor structures. In one example embodiment, the NDR device is used as a thin vertical PNPN structure with capacitively-coupled gate-assisted turn-off and turn-on mechanisms. An SRAM based on this new device is comparable in cell area, standby current, architecture, speed, and fabrication process to a DRAM of the same capacity. In one embodiment, an NDR-based SRAM cell consists of only two elements, has an 8 F2 footprint, can operate at high speeds and low voltages, has a good noise-margin, and is compatible in fabrication process with main-stream CMOS. This cell significantly reduces standby power consumption compared to other types of NDR-based SRAMs.
Abstract:
A system and method for efficient sampling of ground-state and low-energy Ising configurations. The system may be implemented using the nonlinear stochastic dynamics of a measurement-feedback-based coherent Ising machine (MFB-CIM). A discrete-time Gaussian-state model of the MFB-CIM may capture the nonlinear dynamics. The system and method requires many fewer roundtrips to sample than for other known systems.