Abstract: A package structure includes a substrate; a chip bridge including a frontside and a backside that is bonded to the substrate; a redistribution layer bonded to the frontside of the chip bridge and including one or more stacked interconnection layers, an interconnection layer including an interconnect via and an interconnection metal layer on the interconnect via, and the interconnect via being in contact with the chip bridge; solder pads between the frontside of the chip bridge and the substrate and electrically connecting the chip bridge with the redistribution layer; a first chip bonded to the redistribution layer and electrically connected to the chip bridge; and a chip structure bonded to the redistribution layer on a side of the first chip along a lateral direction, the chip structure being electrically connected to the redistribution layer, and also electrically connected to the first chip through the chip bridge.

Abstract: The application belongs to the technical field of water treatment, and relates to a biofilm electrochemical reactor for simultaneously removing nitrate nitrogen and trace organic matters in water.

Abstract: A method for generating an image of an object with a magnetic resonance imaging (MM) system is presented. The method includes first performing a calibration scan of the object. The calibration scan is performed with a zero echo time (ZTE) radial sampling scheme to obtain calibration k-spaces for surface coil elements and a body coil of the MRI system. The calibration scan is performed in such a manner that the endpoints of calibration k-space lines in each calibration k-space follow a spiral path. A plurality of calibration parameters are then obtained from the plurality of calibration k-spaces. A second scan of the object is then performed to acquire the MR image data. The image of the object is then generated based on the plurality of calibration parameters and the MR image data.

Abstract: A method for generating an image of an object with a magnetic resonance imaging (MM) system is presented. The method includes first performing a calibration scan of the object. The calibration scan is performed with a zero echo time (ZTE) radial sampling scheme to obtain calibration k-spaces for surface coil elements and a body coil of the MRI system. The calibration scan is performed in such a manner that the endpoints of calibration k-space lines in each calibration k-space follow a spiral path. A plurality of calibration parameters are then obtained from the plurality of calibration k-spaces. A second scan of the object is then performed to acquire the MR image data. The image of the object is then generated based on the plurality of calibration parameters and the MR image data.

Abstract: The present disclosure relates to a digital control device based on artificial intelligence, belonging to the technical field of intelligent control. The digital control device based on artificial intelligence used by the present disclosure can comprehensively monitor the environmental data including temperature, humidity, smoke concentration, oxygen content, infrared temperature signals, etc. in real time by providing a control system, an environmental monitoring system and an actuating system, and generate control instructions through the monitored environmental data so that the actuating system can make corresponding actions accordingly, thus solving the problems existing problems in the prior art that the monitoring comprehensiveness is low, misjudgments or missed judgments are easy to occur, sensors cannot collect external environmental information in a time-sharing manner, and the practicability and service life are short.

Abstract: The application belongs to the field of material preparation and environments, and specifically, to a precious metal loaded Covalent Organic Framework (COF) composite material and a preparation method therefor. The components of the composite material include precious metal nanoparticles and TpMA. The preparation method includes first mixing the TpMA, chloroauric acid and methanol; and then adding sodium borohydride for reaction, so as to obtain the composite material. The precious metal nanoparticle loaded COF material prepared in the application may be used as a catalyst, which is a novel heterogeneous catalyst with simple, green and efficient preparation; and the material is high in catalytic activity, fast in degradation rate and short in time, and may catalyze the reduction of high concentration pollutants.

Abstract: The application belongs to the technical field of photocatalyst preparation, and specifically relates to a MOFs/COFs heterojunction composite photocatalyst and a preparation method and application thereof. The application uses melamine (MA), 1,3,5-trimethylphloroglucinol (Tp), 2-aminoterephthalic acid, and ferrous acetate as reaction raw materials, a catalyst is added, and a mechanical grinding method is used, to prepare the MOFs/COFs heterojunction composite photocatalyst. The catalyst is simple and green in preparation method, and has the better degradation efficiency for pollutants in water, especially carbamazepine.

Abstract: A conformal organic field-effect transistor includes an elastic substrate, a gate electrode, a polymer insulating layer, an organic semiconductor layer, and a source electrode and a drain electrode from the bottom up, the source electrode and the drain electrode being embedded in the organic semiconductor layer.

Abstract: Carbon dioxide-reversibly-protected chain extension-crosslinking agents and a preparation method and use thereof are disclosed, The carbon dioxide-reversibly-protected chain extension-crosslinking agents have chemical structures represented by Formula I, Formula II, Formula III or Formula IV, wherein, n, m and p are integers, R is either OCH2CH(CH3) or OCH2CH2, 1?n?20, 1?m?10, and 1?p?10.

Abstract: The application belongs to the technical field of water treatment, and relates to a biofilm electrochemical reactor for simultaneously removing nitrate nitrogen and trace organic matters in water.

Abstract: Carbon dioxide-reversibly-protected chain extension-crosslinking agents and a preparation method and use thereof are disclosed, The carbon dioxide-reversibly-protected chain extension-crosslinking agents have chemical structures represented by Formula I, Formula II, Formula III or Formula IV, wherein, n, m and p are integers, R is either OCH2CH(CH3) or OCH2CH2, 1?n?20, 1?m?10, and 1?p?10.

Abstract: A conformal organic field-effect transistor includes an elastic substrate, a gate electrode, a polymer insulating layer, an organic semiconductor layer, and a source electrode and a drain electrode from the bottom up, the source electrode and the drain electrode being embedded in the organic semiconductor layer.

Abstract: Methods and systems are provided for predicting B1+ field maps from magnetic resonance calibration images using deep neural networks. In an exemplary embodiment a method for magnetic resonance imaging comprises, acquiring a magnetic resonance (MR) calibration image of an anatomical region, mapping the MR calibration image to a transmit field map (B1+ field map) with a trained deep neural network, acquiring a diagnostic MR image of the anatomical region, and correcting inhomogeneities of a transmit field in the diagnostic MR image with the B1+ field map. Further, methods and systems are provided for collecting and processing training data, as well as utilizing the training data to train a deep learning network to predict B1+ field maps from MR calibration images.

Abstract: An earbud comprises: a casing in which a sound cavity is provided; a speaker disposed in the sound cavity and dividing the sound cavity into a front sound cavity and a rear sound cavity; and an acoustic structure located in the rear sound cavity. The acoustic structure comprises a first sound guiding wall and a cover plate, the first sound guiding wall is attached to a bottom surface of the rear sound cavity and is configured to, together with at least a part of an inner wall of the casing, constitutes a sound guiding groove, and the cover plate is mounted at an upper opening part of the sound guiding groove, such that the sound guiding groove forms a bass pipe which communicates from the rear sound cavity to at least one aperture of the casing.

Abstract: A Cu catalyst based on a metal organic framework as well as a preparation method and a use thereof is provided. The Cu catalyst based on a metal organic framework comprises composite particles with catalytic activity sites composed of copper in different oxidization states and a porous carbonized layer with a supporting effect. The method for preparing the catalyst includes the following steps: 1) preparing a metal organic framework Cu-MOF; and 2) carbonizing the metal organic framework Cu-MOF. The Cu catalyst can be used in aqueous phase catalysis to catalytically decompose organic pollutants in water.

Abstract: The invention provides a method and device for measuring the elasticity of hardened cement for cementing of oil-gas wells. The measurement method comprises: determining the loading and unloading rates of the hardened cement; determining the maximum loading on the hardened cement; determining the experimental temperature and the experimental pressure of the hardened cement; establishing a stress-strain curve for the hardened cement; and describing the elasticity of the hardened cement with the degree of strain recovery of the hardened cement in different cycles, and describing the mechanic integrity of the hardened cement with the degree of damage to the hardened cement in different cycles. The invention further provides a device for measuring the elasticity of hardened cement for cementing of oil-gas wells.

Abstract: Methods and systems are provided for predicting B1+ field maps from magnetic resonance calibration images using deep neural networks. In an exemplary embodiment a method for magnetic resonance imaging comprises, acquiring a magnetic resonance (MR) calibration image of an anatomical region, mapping the MR calibration image to a transmit field map (B1+ field map) with a trained deep neural network, acquiring a diagnostic MR image of the anatomical region, and correcting inhomogeneities of a transmit field in the diagnostic MR image with the B1+ field map. Further, methods and systems are provided for collecting and processing training data, as well as utilizing the training data to train a deep learning network to predict B1+ field maps from MR calibration images.

Abstract: The present invention provides a container having a bottom frame; the bottom frame includes a pair of bottom side rails, a plurality of cross member and a floor. The pair of bottom side rails are located at both sides of the bottom of the container respectively. The plurality of cross members are located between and connected to the bottom side rails. The floor is laid on the cross members and extends along the longitudinal direction of the container; the floor comprises a first steel floor. The bottom frame further includes a grit discharging structure configured to discharge the grits, collected on the upper surface of the first steel floor after the inner surface and/or the welding seam on the inner surface of the container is shot-blasted, from the container.

Abstract: A system and method for reducing MRI-generated acoustic noise is disclosed. A system control of an MRI apparatus causes a plurality of gradient coils and an RF coil assembly in the MRI apparatus to generate pulse sequences that each cause an echo train to form and acquire blades of k-space data of the subject of interest from the pulse sequences, with the blades being rotated about a section of k-space compared to every other blade. The system control also causes the plurality of gradient coils to generate gradient pulses in each pulse sequence having an optimized gradient waveform that reduces an acoustic noise level generated thereby and causes the RF coil assembly to generate a 180 degree prep pulse subsequent to generation of an RF excitation pulse and prior to generation of a first RF refocusing pulse, the 180 degree prep pulse minimizing echo spacing in the echo train.