Abstract: The present invention discloses a polypeptide and application thereof. By modifying oxyntomodulin (OXM), hybridizing OXM with a peptide sequence of Exenatide, including enabling the polypeptide to be resistant to DPP-4 enzyme degradation through amino acid modification, and conjugating fatty acid chains at the same time, an OXM hybrid peptide having longer pharmacologic action time and better weight losing effects is obtained. Synthesis of a target polypeptide is fast realized by an orthogonal protection strategy solid-phase synthesis method, and a crude product is purified and freeze-dried to obtain the OXM hybrid peptide.

Abstract: The present disclosure discloses a method for quantifying a bearing capacity of foundation containing shallow-hidden spherical cavities, comprising: in Step 1, constructing a spatial axisymmetric calculation model for stability analysis of the foundation containing shallow-hidden spherical cavities; in Step 2, solving the model to obtain a general solution which reflects the spatial stress distribution of surrounding rock containing shallow-hidden spherical cavities; in Step 3, obtain a mathematical expression by derivation for calculating the bearing capacity of the foundation containing shallow-hidden spherical cavities; and in Step 4: completing the determination of the foundation bearing capacity. Benefits: This method has many advantages such as comprehensive consideration, high accuracy and reliability of calculation results, and may provide the scientific basis for the development of prevention and control against the instability of the foundation containing shallow-hidden cavities.

Abstract: A confocal scanning dark field microscopy imaging method and device, comprising: modulating a phase of a laser beam emitted by a laser into a 0-2? ? vortex phase, where n>3; conjugating the modulated laser beam with an entrance pupil of an objective lens of a confocal scanning microscope, so that a focusing spot of the objective lens is a hollow spot, and an inner ring radius of the hollow spot is greater than a radius of a solid spot without phase modulation; and enabling the confocal scanning microscope to work, thereby achieving dark field microscopy imaging. The present disclosure adopts a confocal design with a pore placed in front of the detector. The plane of the pore is conjugated with the object plane, blocking a defocusing signal from entering the detector.

Abstract: The present disclosure provides a method and device for intelligent control of heating furnace combustion based on a big data cloud platform, which relates to the technical field of artificial intelligence control. The method includes: construction of big data cloud platform based on production and operation parameters of the heating furnace; identification of key factors in the production process of the heating furnace by using big data mining technology; independent deployment of traditional heating furnace combustion control systems based on the mechanism model; and integration of cloud platform big data expert knowledge base and the heating furnace combustion intelligent control system.

Abstract: A conductive polymeric layer on an electrostatic chuck. The conductive polymeric layer comprises a conductive polymer and a photosensitive polymer. The conductivity of the conductive polymer promotes charge dissipation by the conductive polymeric layer, while the photosensitivity of the photosensitive polymer allows the surface of the conductive polymeric layer to be photopatterned. The extent to which the conductive polymeric layer is conductive and photosensitive may be modulated by varying the relative amounts of the conductive polymer and the photosensitive polymer.

Abstract: Described are techniques for applying a cured polymeric blanket coating onto a surface, specifically for applying a blanket-coated cured polymeric coating onto a surface of a substrate that is useful as an electrostatic chuck for processing semiconductor wafers.

Abstract: A graphic session coordinator is established to enable remote virtualized graphics operations on behalf of a set of graphics request generators. A request generator submits a graphics session request to the session coordinator. A configuration operation is performed at one or more routing devices to enable graphics operation request packets from the request generator to be delivered to a first remote virtualized graphics device and to enable graphics operation response packets to be transmitted to a destination.

Abstract: The present disclosure proposes a modeling method and apparatus for diagnosing an ophthalmic disease based on artificial intelligence, and a storage medium. The modeling method includes: establishing a data collection of ophthalmic images and a data collection of non-image ophthalmic disease diagnosis questionnaires; training a first neural network model by employing the data collection of the ophthalmic images to obtain a first classification model; training a second classification model by employing the data collection of non-image ophthalmic disease diagnosis questionnaires; and merging the first classification model and the second classification model to obtain a target classification network model, in which, a test result outputted by the target classification network model is used as a diagnosis result of the ophthalmic disease.

Abstract: Described are techniques for applying a cured polymeric blanket coating onto a surface, specifically for applying a blanket-coated cured polymeric coating onto a surface of a substrate that is useful as an electrostatic chuck for processing semiconductor wafers.

Abstract: A method and systems for controlling and directing a means of transportation to autonomously navigate to a target location are provided. The method includes receiving measurements from one or more sensors of the means of transportation; building a route based on the measurement received for the means of transportation to navigate to a target location; generating localization estimation associated with the route built; generating a global path based on the route and the localization estimation; and performing local planning for directing the means of transportation to the target location while avoiding surrounding static or dynamic obstacles. The one or more sensors include a LiDAR sensor and an odometry sensor.

Abstract: The invention relates to the technical field of vehicle charging, and particularly provides a vehicle charging port mounting assembly and a vehicle. The invention aims to solve the problem that existing charging port components have a poor design of mounting structure and thus cannot well meet the usage requirements. To this end, the vehicle charging port mounting assembly of the invention comprises a body side outer panel, a charging port component, a charging port mounting component, a rear wheel cover outer panel and a rear wheel cover outer panel reinforcing plate, wherein the charging port mounting component comprises a mounting bracket and an accommodation support member which is provided with an accommodation chamber, the mounting bracket being disposed in the accommodation chamber and fixedly connected to the accommodation support member, and the accommodation support member being disposed between the body side outer panel and the rear wheel cover outer panel.

Abstract: A database service that receives and manages time series data into a set of generational data tables. The database service generates a set of generational data tables configured to receive a subset of time series data. Each generational data table is created with an initial set of access parameters that facilitates the receipt of incoming time series data. Thereafter, the database service creates additional generational data tables to receive the continuous received time series data and then modifies the access parameters of the previously created data table, such as for read only rights.

Abstract: The invention provides for compounds that are HAT activators or inhibitors. The invention further provides a method for treating neurodegenerative diseases, cancer and other malignant conditions, or to increase memory in a subject not suffering from a neurodegenerative disease by administering HAT activators or inhibitors to a subject in need thereof. The method further comprises co-administration of HD AC inhibitors with HAT activators or HD AC activators with HAT inhibitors.

Abstract: The present application relates to a pixel structure, a mask plate and a display panel. The pixel structure includes a plurality of repeating units arranged repetitively. Each of the repeating units includes a first sub-pixel, a second sub-pixel, and a third sub-pixel in different colors. Virtual edges of two adjacent sub-pixels in same color of adjacent repeating units are spaced apart from each other and form a transmitting region.

Abstract: Various embodiments of the present technology generally relate to robotic devices and artificial intelligence. More specifically, some embodiments relate to modeling uncertainty in neural network segmentation predictions of imaged scenes having a plurality of objects. In some embodiments, a computer vision system for guiding robotic picking utilizes a method for uncertainty modeling that comprises receiving one or more images of a scene comprising a plurality of distinct objects, generating a plurality of segmentation predictions each comprising one or more object masks, identifying a predefined confidence requirement, wherein the confidence requirement identifies a minimum amount of required agreement for a region, and outputting one or more object masks based on the confidence requirement. The systems and methods disclosed herein leverage the use of a plurality of hypotheses to create a distribution of possible segmentation outcomes in order model uncertainty associated with image segmentation.

Abstract: Various embodiments of the present technology generally relate to robotic devices and artificial intelligence. More specifically, some embodiments relate to modeling uncertainty in neural network predictions using bounding box predictions for imaged objects. In some embodiments, a computer vision system for guiding robotic picking utilizes a method for uncertainty modeling that comprises identifying a three-dimensional object in one or more images of a scene, wherein at least one side of the 3D object is not visible to the computer vision system. The method further comprises predicting a plurality of volumes that comprise the object, wherein each volume of the plurality of volumes comprises at least a portion of the object. From the plurality of volumes, a confidence level may be determined for each volume, wherein the confidence level represents a likelihood that the volume contains the entire object.

Abstract: The invention discloses a method for experimentally determining the conductivity of an unpropped fracture in hydraulic fracturing of a shale reservoir, comprising: select an outcrop sample with a natural fracture in the shale reservoir, and cut the outcrop sample with along the extension direction of the natural fracture into no less than eight square rock slabs; use a laser scanner to obtain the rough topography data of the fracture surface of each square rock slab and calculate the area tortuosity; pick out the rock samples; model the rough surface of the selected rock samples; import the treated surface model into the engraving machine, and select the downhole core or outcrop rocks in the same horizon for repeated production; calculate the shear slippage at different positions of unpropped fracture according to the data of the shale reservoir; finally test the conductivity of the shale rock samples after shear slip.

Abstract: Methods, systems, and computer-readable media for interaction monitoring for virtualized graphics processing are disclosed. Execution of an application is initiated on a virtual compute instance that is implemented using CPU and memory resources of a server. Instruction calls are produced by the execution of the application and sent from the server to a graphics server over a network. The graphics server comprises a physical GPU, and a virtual GPU is implemented using the physical GPU and attached to the virtual compute instance. GPU output is generated at the graphics server based at least in part on execution of the instruction calls using the virtual GPU. A log of interactions between the application and the virtual GPU is stored. The interactions comprise the instruction calls sent to the graphics server and responses to the instruction calls sent to the virtual compute instance.

Abstract: The present disclosure proposes a modeling method and apparatus for diagnosing an ophthalmic disease based on artificial intelligence, and a storage medium. The modeling method includes: establishing a data collection of ophthalmic images and a data collection of non-image ophthalmic disease diagnosis questionnaires; training a first neural network model by employing the data collection of the ophthalmic images to obtain a first classification model; training a second classification model by employing the data collection of non-image ophthalmic disease diagnosis questionnaires; and merging the first classification model and the second classification model to obtain a target classification network model, in which, a test result outputted by the target classification network model is used as a diagnosis result of the ophthalmic disease.

Abstract: Techniques for managing dynamically scalable virtualized compute instances within a provider network are described. A dynamically scalable instance has a baseline performance level and a maximum performance level associated with a computing resource, such as a processor, a memory, a network interface, etc. In response to receive a request to launch a dynamically scalable instance, one or more services select a computer system to host the requested instance from a pool of instance-hosting computer systems of a provider network. The instance-hosting computer systems include a monitoring agent that reports computing resource usage data to the one or more services. The one or more services monitor the resource usage of the instance-hosting computer systems and migrate instances so that the dynamically scalable instances can operate up to the maximum level of performance.