Abstract: An apparatus includes an interface and a plurality of impedance branches. The interface may be configured to receive a data signal and a plurality of selection signals. The plurality of impedance branches may comprise a group of branches and a separated branch. The plurality of impedance branches may be configured to adjust an impedance value and a gain of a data path for the data signal in response to the selection signals. The group of branches may be controlled in response to the selection signals to select the impedance value and a first gain value in a first mode. The separated branch may replace one of the plurality of impedance branches in the group of branches in response to the selection signals to select a second gain value in a second mode.

Abstract: A display panel and a display apparatus are provided. An exemplary display panel includes a display area; a non-display area; a plurality of pixels, including a plurality of edge pixels and a plurality of compensation pixels, arranged as an array along a row direction and a column direction and having a plurality of pixel rows and a plurality of pixel columns; and a light shielding layer. At least portions of transmission areas of the edge pixels are disposed in the display area; entire transmission areas of the compensation pixels are disposed in the non-display area; and a distance d between a first compensation pixel in a first pixel row and a second compensation pixel in a second pixel row is smaller than a distance D between a first edge pixel in the first pixel row and a second edge pixel in the second pixel row.

Abstract: The invention provides an anthracene-based organic dye and a preparation method thereof. The organic dye provided by the invention has a structure of formula (I) or formula (II), wherein Ra, Rb, and R2-1 to R2-4 are as defined herein. The organic dye provided by the invention is obtained by modifying an anthracene with Ra and Rb or modifying anthracene-based groups decorated with an aryl group or a heteroaryl group with Ra and Rb, thereby the power conversion efficiency of a dye sensitized solar cell is significantly improved when the organic dye prepared according to the present invention is applied in a dye-sensitized solar cell. Furthermore, the preparation method of the organic dye according to the present invention is quite simple together with abundant raw materials and low cost, making it possible to be commercialized.

Abstract: The disclosure relates to a detection light ranging apparatus and method. The detection light ranging apparatus of the disclosure comprises: a detection light emitting circuit that emits detection light; a first optical assembly that divides the detection light into a first sub-detection light and a second sub-detection light; a second optical assembly that receives the second sub-detection light and causes the second sub-detection light to be emitted after being reflected at least once after being reflected by the measured object; and a timing circuit that receives the first sub-detection light and starts timing to obtain a first time, and receives the second sub-detection light emitted after being reflected at least once and finishes timing to obtain a second time. The detection light ranging apparatus of the disclosure can solve the technical problem of poor measuring precision of the prior ranging apparatuses.

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: Embodiments of the present disclosure relate to a method and a device of configuring downlink control information. Specifically, the corresponding demodulation reference signal configuration information is set for three kinds of demodulation reference signal enhancement situations respectively and is indicated by the downlink control information according to the embodiments of the present disclosure. According to one embodiment of the present disclosure, a base station sends the downlink control information to user equipment, the downlink control information including a demodulation reference signal configuration index that indicates the demodulation reference signal configuration information, and the demodulation reference signal configuration information including one item in the demodulation reference signal configuration information set.

Abstract: Techniques and mechanisms are disclosed that enable a data intake and query system to generate and cause display of circular timelines of timestamped event data. As used herein, a circular timeline generally refers to a graphical display of timestamped events stored by a data intake and query system, wherein the timestamped events may be displayed as arcs of one or more concentric circles and located in a circular timeline area according to a chronological ordering associated with the events. One or more display attributes of each arc may further depend on other data associated with the corresponding events. For example, each arc of a circular time may be displayed at a particular radial distance, with a particular thickness, using a particular shading and/or color, etc., depending on various data values associated with the one or more events represented by the arc.

Abstract: The present invention discloses a method and a system pertaining to the field of oil production engineering. According to the method, the crank complete-cycle operation uses a utility frequency driving mode, and the crank incomplete-cycle pumping operation and the crank incomplete-cycle no-pumping, operation use a variable, frequency driving mode. The system is provided with a utility frequency loop and a variable frequency loop which are provided with a common input terminal and a common output terminal. The common input terminal of the utility frequency loop and the variable frequency loop is connected to a utility frequency power supply circuit, and the output terminal is connected to a driving electric machine of the oil pumping unit. A frequency changer is configured in the variable frequency loop. An operation control unit is further configured outside the utility frequency loop and the variable frequency loop.

Abstract: Presented herein are oleaginous strains of yeast such as Saccharomyces cerevisiae that have been modified to allow for xylose utilization. Such strains are also modified to allow for higher lipid accumulation utilizing a broad range of sugar monomers such as those released during pretreatment and enzymatic saccharification of lignocellulosic biomass. Methods of producing lipids and ethanol using these yeast strains are also disclosed.

Abstract: The present invention is related to an apparatus and method for signaling information exchanging in CoMP (Coordinated Multi-Point). According to an embodiment of the present invention, in a method for signaling information exchanging, a service TP (Transmission Point) and at least one neighboring TP provide the CoMP to at least one UE (User Equipment). The method comprises receiving by the service TP a precoder feedback from at least one UE, wherein the precoder is specific to one of the least one neighboring TP. The service TP decides if the precoder should be sent to the specific neighboring TP. If affirmative, the service TP compresses an indicator indicating the precoder and sends the compressed indicator to the specific neighboring TP.

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: Example reference signal transmission methods and apparatus are described. In one example method, a base station divides a transmission bandwidth into a plurality of frequency domain units, and sends reference signal sending configuration information to a terminal. The terminal transmits a reference signal on one or more frequency domain units. The one or more frequency domain units and another frequency domain unit form a part of the transmission bandwidth supported by the base station. The terminal sends the reference signal on the one or more frequency domain units to the base station based on the reference signal sending configuration information.

Abstract: For workflow test, a processor executes a workflow instance. The workflow instance includes a first workflow description of step names for a plurality of jobs. The processor further receives a modification to the first workflow description as the workflow instance executes. In addition, the processor synchronizes the modified workflow description to the executing workflow instance as the workflow instance executes.

Abstract: Systems and techniques for classification 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 plurality of images is associated with a plurality of masks, a plurality of image level labels, and/or a bounding box. The system also generates a first loss function based on the plurality of masks, a second loss function based on the plurality of image level labels, and a third loss function based on the bounding box. Furthermore, the system generates a fourth loss function based on the first loss function, the second loss function and the third loss function, where the fourth 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: 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 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 system also generates a first loss function based on the plurality of masks, a second loss function based on a plurality of image level labels associated with the plurality of images, and a third loss function based on the first loss function and the second loss function, where the third 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: Systems and techniques for classification 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 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: 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: The present disclosure provides an apparatus and a method for measuring a concentration of pollutants in water. A passive Q-switched fiber laser outputs an evanescent wave to a to-be-tested water sample after emitting a Q-switched pulse laser signal and transmitting it via an evanescent field fiber, and based on an evanescent wave change caused by an absorption effect of the pollutants in the to-be-tested water sample to the evanescent wave and an output repetition frequency change of the passive Q-switched fiber laser due to the evanescent wave change, outputs an output repetition frequency result of the passive Q-switched fiber laser. The method is simple; and the apparatus based on the method is simple in structure and low in cost.