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 serum-free culture medium for in vitro maturation of bovine oocytes includes a Hepes-free M199 basal medium, fatty acid-free BSA, human menopausal gonadotrophin (HMG), 17?-estradiol, epidermal growth factor (EGF), L-cysteine, bFGF, Glutamax (100×), folic acid, cholic acid and CXCL12. A method of culturing bovine oocytes using such serum-free culture medium is provided.

Abstract: Systems and techniques for facilitating image analysis using deviation from normal data are presented. In one example, a system generates atlas map data indicative of an atlas map that includes a first portion of patient image data from a plurality of reference patients and a second portion of the patient image data from a plurality of target patients. The first portion of the patient image data is matched to a corresponding age group for a set of patient identities associated with the first portion of the patient image data. The system also generates deviation map data that represents an amount of deviation for the second portion of the patient image data compared to the first portion of the patient image data. Furthermore, the system trains a neural network based on the deviation map data to determine one or more clinical conditions.

Abstract: Non-naturally occurring Zymomonas strains useful for the production of 2,3-butanediol are provided.

Abstract: The invention discloses compounds for treatment or prevention of liver diseases. The compounds are compounds represented by a formula (I) or (II), optical isomers or pharmaceutically acceptable salts of the compounds. The compounds and optical isomers or pharmaceutically acceptable salts of the compounds can be applied to preparation of drugs for treatment or prevention of liver diseases.

Abstract: The present invention relates to a method of detecting nucleic acid in a sample comprising a flocculant and a recombinant protein, the method comprising (a) adding heparin and a detergent to the sample, (b) amplifying at least a portion of the nucleic acid, and (c) detecting the amplification in step (b), thereby detecting the nucleic acid in the sample. The present invention also relates to a method of detecting nucleic acid in a sample comprising a flocculant and a recombinant protein, the method comprising (a) adding a detergent and sodium hydroxide to the sample, (b) amplifying at least a portion of the nucleic acid, and (c) detecting the amplification in step (b), thereby detecting the nucleic acid in the sample.

Abstract: The invention discloses a motor (501) and a hair dryer having the same, the motor (501) comprises a rotor assembly (16) and a stator assembly (15), wherein the motor (501) also comprises a bracket (17) for supporting the rotor assembly (16) and the stator assembly (15), and the rotor assembly (16) is connected with a fan blade (502); the bracket (17) comprises a first cylinder (8) for supporting the rotor assembly (16) and a second cylinder (9) for protecting the fan blade (502); the first cylinder (8) is connected with the second cylinder (9), and at least a part of the first cylinder (8) is located outside the second cylinder (9). By integrating the fan blade (502) and the motor (501) as a component, the assembly steps of the whole machine are simplified and the difficulty of assembly is reduced. The user experience is good by using the hair dryer with the motor.

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 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: Systems and techniques that facilitate freeze-out as a regularizer in training neural networks are presented. A system can include a memory and a processor that executes computer executable components. The computer executable components can include: an assessment component that identifies units of a neural network, a selection component that selects a subset of units of the neural network, and a freeze-out component that freezes the selected subset of units of the neural network so that weights of output connections from the frozen subset of units will not be updated for a training run.

Abstract: Systems and techniques for facilitating a deep convolutional neural network with self-transfer learning are presented. In one example, a system includes a machine learning component, a medical imaging diagnosis component and a visualization component. The machine learning component generates learned medical imaging output regarding an anatomical region based on a convolutional neural network that receives medical imaging data. The machine learning component also performs a plurality of sequential downsampling and upsampling of the medical imaging data associated with convolutional layers of the convolutional neural network. The medical imaging diagnosis component determines a classification and an associated localization for a portion of the anatomical region based on the learned medical imaging output associated with the convolutional neural network.

Abstract: Systems and techniques for classification and localization based on annotation information are presented. In one example, a system trains a convolutional neural network based on training data and a plurality of images. The training data is associated with a plurality of patients from at least one imaging device. The plurality of images is associated with a plurality of masks from a plurality of objects. The convolutional neural network comprises a decoder consisting of at least one up-sampling layer and at least one convolutional layer. The system also generates a loss function based on the plurality of masks, where the loss function is iteratively back propagated to tune parameters of the convolutional neural network. The system also predicts a classification label for an input image based on the convolutional neural network.

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: A method of designing an integrated circuit (IC) device includes identifying, using a processor, data corresponding to an IC manufacturing process. The designing also includes assigning, using the processor, the data to one or more design rule instruction macros. The designing also includes selecting, using the processor, one or more constraints to be applied to the one or more design rule instruction macros. The designing also includes executing, using the processor, the one or more design rule instruction macros to configure a design rule for the IC manufacturing process.

Abstract: A design method for displaying a DRC in a classification manner in a PCB design is provided. The design method includes: acquiring layer information contained in a current design, adding the acquired layer information to a DRC Layer menu in a pop up window, acquiring a DRC Type contained in the current design and adding the processed DRC Type to a DRC Type menu in the pop up window after processing the acquired DRC Type; creating an updating function, to update a DRC Type menu list in response to an input action of a user; acquiring an attribute of each item in a DRC Layer menu list and the DRC Type menu list, and inserting the acquired attribute into the updated DRC Layer menu list and the updated DRC Type menu list, to form a feature parameter list.

Abstract: Techniques to control a storage system involve: determining whether available power capable of being supplied by a supplying apparatus of the storage system is less than power required by the storage system; and in response to a determination that the available power is less than the power required by the storage system, adjusting an operation parameter of the storage system based on the available power so as to match the power required by the storage system with the available power. In this way, the performance of the storage system can be at a higher level while the performance of the storage system can remain stable in a case where power of a processor is limited.

Abstract: Techniques for managing computing devices involve: determining an associated weight of each storage device based on a mapping relationship between each storage device in storage devices and partitions included in a switch, the partitions being respectively associated with the computing devices, the storage devices being respectively connected to downstream physical ports of the switch; determining a total associated weight of a storage pool based on the associated weight of each storage device, the storage pool being created based on the storage devices; and if it is determined that the total associated weight does not satisfy a predetermined balance condition, adjusting the mapping relationship between the partitions and the downstream physical ports. Accordingly, such techniques can dynamically adjust the mapping between the partitions of the switch and downstream physical ports, thereby balancing the workloads on the computing devices and buses.

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. The computer executable components can further comprise a training component that employs the subset of synthetic images and real images to train a DNN network model to classify synthetic images generated using the GAN model as either real-like or non-real like.

Abstract: This disclosure relates to a vapor chamber configured to accommodate a cooling fluid. The vapor chamber includes a first cover, a second cover, a first capillary structure, and a second capillary structure. The second cover and the first cover are attached to each other to form a chamber therebetween. The chamber is configured to accommodate the cooling fluid. The first capillary structure is located in the chamber and stacked on the first cover. The second capillary structure is located in the chamber and stacked on the first capillary structure. The second capillary structure is different from the first capillary structure. A projection of the second capillary structure onto the first cover is smaller than a projection of the first capillary structure onto the first cover.

Abstract: The present disclosure provides a lighting device for reducing bird strikes and a method for reducing bird strikes in a wind farm. The lighting device includes an illuminator, and the illuminator emits red light with a wavelength of 620-750 mm. In the present disclosure, the red light with a wavelength of 620-750 mm is used as a light source of the lighting device to reduce the attraction to birds; therefore, strikes of birds on the position of the lighting device can be reduced, overcoming a longstanding technical prejudice that people have generally accepted that blue light is used as a light source for reducing bird strikes because the red light is easy to attract birds, which are too sensitive to the blue light to be attracted easily.