Abstract: A biological sample detection method based on surface-enhanced Raman spectroscopy is disclosed, which relates to the technical field of biological detection. The method includes following operations: washing a substrate used for Raman spectroscopy to obtain a clean substrate; performing surface nanostructuring on the clean substrate to make the clean substrate have a surface Raman enhancement effect, and ultrasonically cleaning the nanostructured substrate with clear water to obtain a surface nanostructured substrate; and inserting the surface nanostructured substrate in a test biological sample, and taking it out after adsorbing the substance to be detected, and then detecting Raman spectrum signals on the surface.

Abstract: The present application discloses a method for preparing an electrochromic device. The method includes placing an edge protection material on a first and second substrates, placing a first and second interlayers respectively within the edge protection material on the first and second substrates, wherein the edge protection material surrounds edges of the first and second interlayers, and interposing an electrochromic film between the first and second interlayers. The edge protection material prevents chemicals in the first and second interlayers from entering into the electrochromic film.

Abstract: The present disclosure relates to a pyrazolo[3,4-d]pyrimidine compound, a preparation method thereof, and use thereof in the preparation of an anti-tumor drug. This class of compound has an inhibitory effect on FGFR1-3 and exhibits an anti-proliferation effect on NCI-H1581 and SNU-16 cancer cell lines.

Abstract: Compositions and methods for fracturing a subterranean formation are presented. Also provided are compositions and methods for reducing friction-related losses in a well treatment fluid. In general, the compositions include a copolymer that includes one or more vinylphosphonic acid (“VPA”) monomers.

Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry configured to acquire a radiographic image of a subject and acquire a post-processing image with reduced steak artifacts by applying a model that reduces streak artifacts to the radiographic image, wherein the model is generated by machine learning that uses, as a training data pair, a first radiographic image and a second radiographic image based on artifact generation processing for generating streak artifacts.

Abstract: The present disclosure provides technical solutions related to intelligent cloud management based on profile. Artificial intelligent is applied to cloud management and cloud management suggestion may be proposed intelligently. In daily work, behaviors in using cloud resources may show characteristics of cloud users or cloud tenants themselves. The technical solution of intelligent cloud management of the present disclosure generates profile identifying cloud using characteristics by extracting behavior data in using cloud and intelligently proposes cloud management suggestions based on the profile.

Abstract: A multimedia card includes a substrate, and a main control chip, a memory chip, and an interface contacts that are disposed on the substrate. The main control chip and the memory chip are covered with a packaging layer. The interface contacts includes a power contact, configured to receive a first voltage that is input from the outside; and a transformer circuit is further disposed on the substrate, is coupled to the interface contacts, the main control chip, and the memory chip, and is configured to convert the input first voltage into a second voltage, to provide two types of power supplies with the first voltage and the second voltage for the main control chip and the memory chip. In the foregoing manner, an area of the multimedia card is reduced, and a quantity of working modes of the multimedia card increases.

Abstract: A predictive maintenance system and method for intelligent manufacturing equipment is provided. The predictive maintenance system includes a first-stage predictive maintenance module, a second-stage predictive maintenance module, and a maintenance decision module. The first-stage predictive maintenance module includes an acquisition module, a human-computer interaction module, a calculation module, and a storage module. The second-stage predictive maintenance module includes a communication module, a setting module, and a prediction module. The maintenance decision module is configured to receive a first-stage remaining service life calculated by the first-stage predictive maintenance module and a second-stage remaining service life predicted by the second-stage predictive maintenance module, and determine a predictive maintenance strategy of the intelligent manufacturing equipment according to the first-stage remaining service life and the second-stage remaining service life.

Abstract: A method and apparatus is provided that uses a deep learning (DL) network to reduce noise and artifacts in reconstructed medical images, such as images generated using computed tomography, positron emission tomography, and magnetic resonance imaging. The DL network can operate either on pre-reconstruction data or on a reconstructed image. The DL network can be an artificial neural network or a convolutional neural network (e.g., using a three-channel volumetric kernel architecture). Different neural networks can be trained depending on the noise level, scanning protocol, or the anatomic, diagnostic or clinical objective of the reconstructed image (e.g., by partitioning the training data into noise-level range and training respective DL networks for each range). Further, the DL networks can be trained to mitigate artifacts, such as the cone-beam artifact.

Abstract: A power adapter, includes: a transformer, including a primary winding and a secondary winding; a primary circuit, including a primary main switch, electrically coupled to the primary winding; a secondary circuit, including a first switch unit and a second switch unit; a first end of the first switch unit and a first end of the second switch unit are coupled to the secondary winding of the transformer, and a second end of the first switch unit and a second end of the second switch unit connected to a first output port and a second output port, respectively; a control circuit, configured to detect output voltages of the first output port and the second output port, and controlling the primary main switch, the first switch unit and the second switch unit to adjust the output voltages of the first output port and the second output port.

Abstract: A control chip, a control system, and a control method for a motor are disclosed. The control chip comprises: an analog comparator comprising a first input terminal and a second input terminal, wherein the first input terminal receives a reference voltage of the motor, the second input terminal receives at least one back EMF (Electromotive Force) of the motor in turn, the analog comparator compares each of the at least one back EMF with the reference voltage in turn through a polling method, so as to produce at least one comparison result and control the motor according to the at least one comparison result. Thereby, the analog comparator is able to compare back EMF with the reference voltage without three comparators, and the cost is therefore saved.

Abstract: Data acquired from a scan of an object can be decomposed into frequency components. The frequency components can be input into a trained model to obtain processed frequency components. These processed frequency components can be composed and used to generate a final image. The trained model can be trained, independently or dependently, using frequency components covering the same frequencies as the to-be-processed frequency components. In addition, organ specific processing can be enabled by training the trained model using image and/or projection datasets of the specific organ.

Abstract: Disclosed in the present application are a signal continuous coverage method, device and apparatus for a target area, and an antenna system.

Abstract: A back plate includes a base substrate, gate lines, data lines and power supply lines arranged on the base substrate crossing each other in rows and columns, and pixel structures arranged in an array on the base substrate, each pixel structure includes a driving transistor, a switching transistor connected thereto, and a pixel electrode connected thereto; a gate line and a data line are connected to the switching transistor, and a power supply line is connected to the driving transistor; in a same row or column of pixel structures, a power supply line is arranged between an (2n?1)th pixel structure and an 2n?th pixel structure, and the power supply line is connected to a source electrode of a driving transistor in the (2n?1)th pixel structure and a source electrode of a driving transistor in the 2n?th pixel structure; n is a positive integer greater than or equal to 1.

Abstract: An apparatus, method, and computer-readable medium for improving image quality of a medical volume.

Abstract: The present disclosure provides an aerogel comprising conductive polymers and cellulose nanofibrils (CNF). The present disclosure also provides a sensor comprising the aerogels of the present invention.

Abstract: The present invention discloses a preparation method and application of anti-cat-and-dog allergen finishing composition solution.

Abstract: An electronic device may include an electronic display to display an image based on processed image data. The electronic device may also include image processing circuitry to generate the processed image data. The image processing circuitry may receive input image data corresponding to an image in a first perspective and warp the input image data from the first perspective to a second perspective, generating warped image data. Additionally, the image processing circuitry may determine one or more occluded regions in the second perspective and determine fill-data corresponding to the occluded regions. The processed image data may be generated by combining the warped image data and the fill-data.

Abstract: A stretchable electrically conductive coaxial fiber includes a tubular sheath that is made from a thermoplastic elastomer that is an electrical insulator, and an electrically conductive strip located inside the tubular sheath. The conductive strip is buckled inside the tubular sheath to form a ribbon.

Abstract: The present disclosure provides a method and system for vehicle driving data collection. The method includes: sending, by a vehicle central processor, a data collection instruction and a synchronization clock signal to each onboard sensor, wherein the data collection instruction is a control signal for the sensor to be turned on or off; converting vehicle driving data and environmental data collected by the onboard sensor into a digital signal, adding a time stamp to the collected vehicle driving data and environmental data, and transmitting uncompressed digital signal to the vehicle central processor through an optical fiber; and synthesizing, by the vehicle central processor, the collected vehicle driving data and environmental data, and synchronizing the collected vehicle driving data and environmental data according to the time stamp, to obtain a driving state of the vehicle.