Abstract: The disclosure relates to a process for continuously producing polyoxymethylene dimethyl ethers at low temperature, pertains to the technical field of polyoxymethylene dimethyl ether preparation processes, and solves the technical problem of continuous production of polyoxymethylene dimethyl ether. A membrane separation element with precisely controlled pores in membrane is used to realize a direct separation of the feedstocks from the catalyst within the reactor, and effectively reduce the permeation resistance of the separation membrane tube. By oppositely switching the flowing direction of liquid reaction materials, the adhesion of the catalyst to the separation membrane tube is inhibited, and some particles stuck in separation membrane tube are removed, which ensures the continuous operation of the reaction process and allows a molecular sieve catalyst to exhibit its advantage of long catalytic life.

Abstract: Systems, apparatus, instructions, and methods for medical machine time-series event data processing are disclosed. An example apparatus includes a data processor to process one-dimensional data captured over time with respect to patient(s). The example apparatus includes a visualization processor to transform the processed data into graphical representations and to cluster the graphical representations including the first graphical representation into at least first and second blocks arranged with respect to an indicator of a criterion to provide a visual comparison of the first block and the second block with respect to the criterion. The example apparatus includes an interaction processor to facilitate interaction, via the graphical user interface, with the first and second blocks of graphical representations to extract a data set for processing from at least a subset of the first and second blocks.

Abstract: Systems, apparatus, instructions, and methods for medical machine time-series event data generation are disclosed. An example synthetic time series data generation apparatus is to generate a synthetic data set including multi-channel time-series data and associated annotation using a first artificial intelligence network model. The example apparatus is to analyze the synthetic data set with respect to a real data set using a second artificial intelligence network model. When the second artificial intelligence network model classifies the synthetic data set as a first classification, the example apparatus is to adjust the first artificial intelligence network model using feedback from the second artificial intelligence network model. When the second artificial intelligence network model classifies the synthetic data set as a second classification, the example apparatus is to output the synthetic data set.

Abstract: The disclosure provides a flat heat exchanger. The flat heat exchanger includes a flat pipe part, a first welded part, a second welded part and a capillary structure. The flat pipe part has a fluid channel. The first welded part and the second welded part are respectively located at two opposite ends of the flat pipe part to close two opposite ends of the fluid channel. At least part of the capillary is located within the fluid channel of the flat pipe part.

Abstract: The present invention discloses a rock mechanics experiment system for simulating deep-underground environment, including a triaxial chamber consisting of a chamber cavity and a test pedestal, a stress field building module, a high pressure seepage field building module, a high temperature field building and a seepage medium permeating control measurement module arranged in the triaxial chamber, a lifting module used for installing and disassembling of the chamber cavity, and computer module used for controlling the operation of system and calculating and outputting the test data. The lifting module includes a door-shaped support frame, a cylinder piston device vertically mounted on the door-shaped support frame beam, a coupling device and a safety suspension device. The coupling device includes an oil hydraulic rod with the upper end fixedly coupled with the piston, a safety disk fixedly coupled with the lower end of the hydraulic rod, and two symmetrically disposed coupling assemblies.

Abstract: A method for improving the moldability and 3D precision printing performance of a high-fiber dough system by adding functional carbohydrate, and belongs to the technical field of fruit-vegetable food processing. The method includes preparation of aged flour, beating and concentrating of old stalks of asparagus, beating of butter, adding functional carbohydrate to mix materials, 3D printing and the like. Baked aged flour, concentrated asparagus pulp made from the old stalks of asparagus, the butter and the functional carbohydrate are uniformly mixed, and then printed by means of a 3D printer. With carbohydrate being a major ingredient, the 3D printing materials provided contain rich dietary fibers, and can serve as basic food to provide energy for people. The precision of a printed object can be greatly improved by adjusting different printing parameters such as a nozzle diameter, a printing distance and a printing temperature.

Abstract: A method and an apparatus for obtaining downlink channel information are provided. The method includes, at least, receiving a first pilot signal sent by user equipment by using N first antenna ports, and determining, based on the received first pilot signal, a downlink channel gain matrix corresponding to the N first antenna ports, determining, based on the downlink channel gain matrix corresponding to the N first antenna ports, a first weight matrix corresponding to the N first antenna ports, and sending a second pilot signal to the user equipment. The method further includes receiving a precoding matrix indicator PMI fed back by the user equipment, determining a second weight matrix based on the PMI, and determining, based on the first weight matrix and the second weight matrix, downlink channel information that corresponds to the N first antenna ports and that corresponds to the M second antenna ports.

Abstract: A transflective and non-rectangular display panel and a display device are provided. The non-rectangular display panel includes a display region, a non-display region surrounding the display region, multiple pixels including multiple sub pixels, and a light shielding layer. There is a first boundary between the display region and the non-display region, and a region surrounded by the first boundary and the display region is non-rectangular. Each of the multiple pixels includes at least three of the multiple sub pixels. An open region of each of the multiple sub pixels has a transmissive region and a reflective region. The multiple pixels include normal pixels in the display region and abnormal pixels passed through by the first boundary. In each of the abnormal pixels, each of the transmissive region and the reflective region is partially blocked by the light shielding layer and partially emits light therefrom.

Abstract: Systems and techniques for facilitating a deep learning architecture for automated image feature extraction are presented. In one example, a system includes a machine learning component. The machine learning component generates learned imaging output regarding imaging data based on a convolutional neural network that receives the imaging data. The machine learning component also performs a plurality of sequential and/or parallel downsampling and upsampling of the imaging data associated with convolutional layers of the convolutional neural network.

Abstract: Techniques are provided for evaluating and defining the scope of data-driven deep learning models. In one embodiment, a machine-readable storage medium is provided comprising executable instructions that, when executed by a processor, facilitate performance of operations comprising employing a machine learning model to extract first training data features included in a training data set and first target data features included in a target data set. The operations further comprise determining whether the target data set is within a defined data scope of the training data set based on analysis of correspondences between the first training data features and the first target data feature, and determining whether application of the target data set to a target neural network model developed using the training data set will generate results with an acceptable level of accuracy based on whether the target data set is within the defined data scope.

Abstract: Systems and techniques for providing concurrent image and corresponding multi-channel auxiliary data generation for a generative model are presented. In one example, a system generates synthetic multi-channel data associated with a synthetic version of imaging data. The system also predicts multi-channel imaging data and the synthetic multi-channel data with a first predicted class set or a second predicted class set. Furthermore, the system employs the first predicted class set or the second predicted class set for the synthetic multi-channel data to train a generative adversarial network model.

Abstract: Techniques are provided for deep neural network (DNN) identification of realistic synthetic images generated using a generative adversarial network (GAN). According to an embodiment, a system is described that can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise, a first extraction component that extracts a subset of synthetic images classified as non-real like as opposed to real-like, wherein the subset of synthetic images were generated using a GAN model.

Abstract: A system, method, and program product are disclosed for asynchronous remote copy. One method includes transmitting a write request to a remote primary storage cluster for an asynchronous remote copy operation. The method also includes creating an entry in a write record stored in the local memory, the entry comprising a data consistency value, and removing the entry from the write record in response to receiving an acknowledgement from a remote secondary storage cluster that the asynchronous remote copy operation is completed.

Abstract: A compound strontium fluoroborate, nonlinear optical crystal of strontium fluoroborate, preparation method thereof; the chemical formula of the compound is SrB5O7F3, its molecular weight is 310.67, and it is prepared by solid-state reaction; the chemical formula of the crystal is SrB5O7F3, its molecular weight is 310.67, the crystal is of the orthorhombic series, the space group is Ccm21, and the crystal cell parameters are=10.016(6) ?, b=8.654(6)(4) ?, c=8.103(5) ?, Z=4, and V=702.4(8) ?3. A SrB5O7F3 nonlinear optical crystal has uses in the preparation of a harmonic light output when doubling, tripling, quadrupling, quintupling, or sextupling the frequency of a 1064-nm fundamental-frequency light outputted by a Nd:YAG laser, or the generation of a deep-ultraviolet frequency doubling light output lower than 200 nm, or in the preparation of a frequency multiplier, upper or lower frequency converter, or an optical parametric oscillator.

Abstract: Techniques and mechanisms are disclosed that enable collection of various types of data from cloud computing services and the generation of various dashboards and visualizations to view information about collections of cloud computing resources. A user can configure collection of data from one or more cloud computing services and view visualizations using an application platform referred to herein as a cloud computing management application. A cloud computing management application further may be configured to generate and cause display of interactive topology map representations of cloud computing resources based on the collected data, where an interactive topology map enables users to view an intuitive visualization of a collection of computing resources, efficiently cause performance of actions with respect to various resources displayed in the topology map, and analyze the collection of resources in ways that are not possible using conventional cloud computing service management consoles.

Abstract: The invention provides a file storage method, a file search method and a file storage system based on public-key encryption with keyword search. The method comprises: receiving a user file storage request sent from a data possessor, acquiring access control attribute information for access to a user file, security level parameters and a keyword set of the user file, generating a file attribute vector of the user file by means of the access control attribute information and the keyword set, acquiring a public-secret key pair used for encrypting the file attribute vector from a pre-generated key space, encrypting the file attribute vector by means of a public key in the public-secret key pair to obtain a ciphertext corresponding to the file attribute vector, and transmitting the ciphertext corresponding to the file attribute vector and a ciphertext of the user file to a preset storage server.

Abstract: A signal sending and receiving method includes: receiving, by a terminal device, at least one piece of resource configuration information for determining N reference signal resource groups, and each of the N reference signal resource groups includes at least one reference signal resource; and sending a reference signal on a resource in an ith reference signal resource group in the N reference signal resource groups by using a jth antenna group corresponding to the ith reference signal resource group, where the jth antenna group includes at least one antenna. The N reference signal resource groups correspond to N antenna groups, and any two of the N antenna groups are different.

Abstract: This application provides a method including: receiving first configuration information of an SRS resource from a network device, where the first configuration information includes a repetition factor of the SRS resource, and the repetition factor of the SRS resource is a quantity N of positions at which the SRS resource is mapped to a same subcarrier and mapped to at least one continuous symbol in one time unit, where N?1 and is an integer; determining at least one first frequency domain resource to which the SRS resource is mapped in a first time unit.

Abstract: The present disclosure is related to a display panel and a display device. The non-display area of the display panel includes a chip bonding area, the display area includes first and second display areas. The display area includes sub-pixels and reflective layer portions, projection of reflective layer portion corresponds to opening region of sub-pixel. The display area further includes first and second signal lines. The second signal lines are connected to the first signal lines and the chip bonding area, and each includes first and second lines. The first line is connected to the first signal lines and the chip bonding area through the second line, and arranged in the second display area and extends along a column direction. A projection of first line overlaps a projection of reflective layer portion. The second lines are arranged in the non-display area.

Abstract: A sound insulation composition and a sound insulation sheet for a vehicle are provided. The sound insulation composition includes 50 to 300 parts by weight of EVA, 10 to 300 parts by weight of mica powers, 10 to 300 parts by weight of dolomite, 10 to 50 parts by weight of thermoplastic resin, 10 to 100 parts by weight of a toughening agent, 3 to 60 parts by weight of a compatilizer, 30 to 300 parts by weight of a fire retardant, 10 to 80 parts by weight of a plasticizer, and 100 to 500 parts by weight of barium sulfate. The sound insulation sheet for the vehicle is made of the sound insulation composition mentioned above.