Abstract: This application discloses a data processing method, applied to the field of artificial intelligence, including: obtaining to-be-processed data; and processing the to-be-processed data by using a trained neural network, to output a processing result. The neural network includes a feature extraction network and a classification network. The feature extraction network is configured to extract a feature vector expressed by the to-be-processed data in hyperbolic space. The classification network is configured to process the feature vector based on an operation rule of the hyperbolic space, to obtain the processing result. In this application, precision of processing by a model a data set including a tree-like hierarchical structure can be improved, and a quantity of model parameters can be reduced.

Abstract: A technology is provided for multi-component and/or multi-configuration imaging with coding, signal composition, signal model, structure model, structure model learning, decoding, reconstruction, performance prediction and performance enhancement. A magnetic resonance imaging example comprises acquiring signal samples in accordance with a coding scheme and a k-space sampling scheme, identifying a structure model in a data assembly formed using an extraction operation, and generating a result consistent with both the acquired signal samples and the identified structure model.

Abstract: Techniques are presented that exploit human learning and machine learning in the acquiring of and reasoning with sensor data. To reveal quantities of interest of the physical world, instrument-based sensing or probing can particularly use, in a hybrid fashion, elements such as scientific models and problem solving experiences originated from human learning of the operation principles of the physical world, together with elements such as adaptive compute units or neural networks constructed for machine learning of patterns in high-dimensional space and in massive data. Integration and autonomous improvement are through numerical computations and schemed updates, which can benefit development or deployment of algorithms, procedures and sensors, as well as interpretation of results.

Abstract: A multifunctional hub according to the present invention includes a box body, and the box body is provided with a sliding cavity with an upward opening therein, and an annular slider is slidably slid in the sliding cavity. The multifunctional hub of the present invention has simple and clear operation, sensitive response, saving time and labor; at the same time, the device of the present invention is rich in functions, fixed and reliable, and highly practical.

Abstract: The invention discloses a computer mainframe box which is convenient for heat dissipation, comprising a computer case and a blocking cavity which communicates with the internal cavity of the computer case and has an opening forward. The left end wall of the internal cavity of the computer case is provided with nine rows which communicate with the external space. Air holes, three spring chambers are arranged in the right end wall of the blocking cavity, and a transmission chamber is arranged in the right end wall of the spring cavity. In the work of the present invention, the size of the heat dissipation outlet is adjusted according to the heat dissipation requirements of the computer main box, and the inlet is adjusted. The air inlet condition of the air outlet improves the heat dissipation speed, and the computer main box can be opened directly by simple operation, which is convenient for cleaning the inside of the computer main box.

Abstract: The invention discloses a cleaning apparatus for a mouse pad, which comprises a machine body. The machine body is provided with a slot with an opening facing upwards. A clip block is inserted into the slot. The clip block is provided with a clip slot. The upper side of the clamping groove is provided with a sliding groove, and a slide plate is slidably arranged in the sliding groove. The left and right ends of the slide plate are fixed with resetting components for resetting the slide plate. The upper end surface of the slide plate is provided with a pull rod. The invention is easy to operate, and the mouse pad is cleaned by soaking, scrubbing, washing, and drying processes. In this process, the degree of automation is high, manpower is saved, and the cleaning time is shortened. The mouse pad after cleaning can be used directly, which is convenient and convenient. Efficient.

Abstract: A keyboard cleaning accessory of the present invention includes a shell body, a first cavity is disposed in the shell body, a second cavity is disposed in a left end wall of the first cavity, and a left cavity wall is disposed in the second cavity The invention has a third cavity; the keyboard cleaning accessory of the invention has simple and clear operation, is sensitive to reaction and has high cleaning efficiency; meanwhile, the device of the invention has a storage function, is safe and reliable, and has strong practicability.

Abstract: A dust-proof computer display includes a display and a screen disposed on the display, the display has a bracket on a lower side thereof, a main cavity is disposed in the display, the main cavity is open to the front, and the main cavity is topped the wall is provided with an upper sliding slot; the invention has the advantages of simple structure and simple use. After the display is used, the invention can automatically wipe the screen to remove the dust on the screen, and after the wiping is completed, the screen is covered with a dust cloth. Enclosed to prevent image display distortion caused by dust accumulation when the display is not in use, greatly improving work efficiency.

Abstract: The invention discloses a notebook heat dissipation bracket, which comprises a placement board. When the heat dissipation bracket is used, the support tube is extracted, and then the support tube is rotated and the support tube is inserted into the support slot. The support tube supports the fixing plate, the bracket can be placed on the bed for use, supported by the support tube, and the height of the entire heat dissipation bracket can be adjusted by the adjustment mechanism to meet the needs of more users, and can also be adjusted by the rotating mechanism. The angle of the notebook.

Abstract: Numerous instruments make inferences by fitting sensor data to knowledge that characterizes the physical world, where the knowledge result from human learning. The present intelligent instruments integrate machine learning elements with human learning elements so that they work in a hybrid fashion to improve the performance of inference making. In some embodiments human learning elements, e.g., scientific models, participate directly in the construction of some of the machine learning elements. In some embodiments machine learning elements help assess and drive the refinement of the inferences. The integration comprises training data synthesis, loss and gradient calculations, and autonomous adaptation.

Abstract: A method judiciously applies or manages randomness, incoherence, nonlinearity and structures for improving signal encoding or decoding. The method in a compressed sensing-based imaging example comprises acquiring a set of base data samples, obtaining a base result, perturbing the base set, obtaining perturbed result(s), and deriving an outcome facilitating assessment and improvement of image quality. The method in a magnetic resonance imaging example comprises acquiring data samples in parallel and in accordance with a k-space sampling pattern, identifying a signal structure in an assembly of the acquired data samples, and finding a result consistent with both the acquired data samples and the identified signal structure.

Abstract: Apparatus, method, and computer-accessible medium embodiments for a noninvasive mapping of electrical properties of tissues or materials. For example, it is possible to apply a plurality of stimulations to a target. It is possible to receive at least one signal from the target in response to the applied stimulations. Further, it is possible to process the at least one signal to determine electromagnetic-field-related quantities associated with the stimulations and the target response. Also, it is possible to supply the electromagnetic-field-related quantities to a system of equations relating these quantities to a plurality of electrical property values and residual field-related unknown values of the at least one target. It is also possible to determine a solution to the system of equations, including determining at least one electrical property of the at least one target.

Abstract: A technology is provided for multi-component and/or multi-configuration imaging with coding, signal composition, signal model, structure model, structure model learning, decoding, reconstruction, performance prediction and performance enhancement. A magnetic resonance imaging example comprises acquiring signal samples in accordance with a coding scheme and a k-space sampling scheme, identifying a structure model in a data assembly formed using an extraction operation, and generating a result consistent with both the acquired signal samples and the identified structure model.

Abstract: An assembly for determining at least one electrical property of an object. The assembly includes at least one transmitter that can generate a plurality of electromagnetic field distribution patterns directed at an object. The assembly also includes a data apparatus with an MRI apparatus and a data processor. The MRI apparatus can produce at least one image of the object using a magnitude or a phase modulated by the electromagnetic field distribution patterns. The processor can then process data associated with the object to determine the at least one electrical property the object.

Abstract: A computer implemented method is provided that judiciously applies or manages randomness, incoherence, nonlinearity and structures involved in signal encoding or decoding. The method in a magnetic resonance imaging example comprises acquiring data samples in accordance with a k-space sampling pattern, identifying a signal structure in an assembly of the acquired data samples, and finding a result consistent with both the acquired data samples and the identified signal structure.

Abstract: The present disclosure can provide exemplary apparatus, system, methods, and computer-accessible medium for generating a prediction model for at least one of an electromagnetic radiation absorption or a specific absorption rate (SAR). For example, according to certain exemplary embodiments, an exemplary method can include directing electromagnetic radiation at a subject using a plurality of transmit elements, obtaining electromagnetic radiation deposition information associated with a deposition of the at least one electromagnetic radiation within the subject using a sensing apparatus, and with a processor arrangement, generating the prediction model as a function of the electromagnetic radiation deposition information.

Abstract: Optimizing RF coil currents' magnitude/phase relationship, temporal modulation and spatial distribution is crucial to MR imaging performance. One key aspect for the optimization is the knowledge of B1 spatial distribution and RF power deposition associated with a coil current pattern or a source configuration, and the use of the knowledge in the optimization. Another key aspect for the optimization is a hardware infrastructure that facilitates the optimization, with, specifically, a coil structure that supports flexible current path control. The present invention relates to calibration methods and multi-channel parallel RF transmit/receive coil assemblies that improve the performance of MR imaging by addressing both aspects.

Abstract: A method and apparatus for generating a localized heating are provided, the method comprising: transmitting a spatially localized or shaped electromagnetic field via a plurality of coils to a subject and generating magnetic resonance signals; performing magnetic resonance imaging based on the magnetic resonance signals to generate an image of a region of interest of the subject; and controlling the plurality of the same imaging coils to radiate radio frequency (rf) energy to generate the localized heating on a region of interest. The invention provide a more efficient manner for generating localized heating and means for verifying the heating pattern without the need to measure temperature rises in the patient. This is useful to check the localization prior to the application of hyperthermia.

Abstract: An assembly for determining at least one electrical property of an object. The assembly includes at least one transmitter that can generate a plurality of electromagnetic field distribution patterns directed at an object. The assembly also includes a data apparatus with an MRI apparatus and a data processor. The MRI apparatus can produce at least one image of the object using a magnitude or a phase modulated by the electromagnetic field distribution patterns. The processor can then process data associated with the object to determine the at least one electrical property the object.

Abstract: Apparatus, method, and computer-accessible medium embodiments for a noninvasive mapping of electrical properties of tissues or materials. For example, it is possible to apply a plurality of stimulations to a target. It is possible to receive at least one signal from the target in response to the applied stimulations. Further, it is possible to process the at least one signal to determine electromagnetic-field-related quantities associated with the stimulations and the target response. Also, it is possible to supply the electromagnetic-field-related quantities to a system of equations relating these quantities to a plurality of electrical property values and residual field-related unknown values of the at least one target. It is also possible to determine a solution to the system of equations, including determining at least one electrical property of the at least one target.