Abstract: The present disclosure provides an N protein epitope mutation marker for preparing an epitope deletion-marked vaccine strain of type II porcine reproductive and respiratory syndrome virus (PRRSV) and use thereof, belonging to the technical field of biological products. In the mutation marker, one or more amino acids are mutated based on an epitope sequence at positions 92 to 103 of a C-terminal of an N protein of the type II PRRSV; and the epitope mutation marker has an amino acid sequence shown in SEQ ID NO: 1, where X1 is selected from the group consisting of T, P, and A; and X2 is selected from the group consisting of V and A.

Abstract: One embodiment of the present disclosure provides a system and method for determining a decision-making strategy. During operation, the system can obtain sample data corresponding to a service. The system can pre-determine, based on the sample data and the service, a basic parametric shape model and can generate a plurality of shape parameters for the basic parametric shape mode. The system can then generate one or more parametric shape models with different shapes based on the plurality of shape parameters. The system can determine goodness-of-fit of the one or more parametric shape models with respect to a pre-defined decision-making strategy. Next, the system can in response to determining that the goodness-of-fit of at least one parametric shape model satisfies a set of objectives, outputting the at least one parametric shape model as an optimum decision-making strategy for the service.

Abstract: Examples described herein relate to a graphics processing unit (GPU) coupled to the memory device, the GPU configured to: execute an instruction thread; determine if a dual directional signal barrier is associated with the instruction thread; and based on clearance of the dual directional signal barrier for a particular signal barrier identifier and a mode of operation, indicate a clearance of the dual directional signal barrier for the mode of operation, wherein the dual directional signal barrier is to provide a single barrier to gate activity of one or more producers based on activity of one or more consumers or gate activity of one or more consumers based on activity of one or more producers.

Abstract: A medical endoscope image recognition method is provided. In the method, endoscope images are received from a medical endoscope. The endoscope images are filtered with a neural network, to obtain target endoscope images. Organ information corresponding to the target endoscope images is recognized via the neural network. An imaging type of the target endoscope images is identified according to the corresponding organ information with a classification network. A lesion region in the target endoscope images is localized according to an organ part indicated by the organ information. A lesion category of the lesion region in an image capture mode of the medical endoscope corresponding to the imaging type is identified.

Abstract: This disclosure discloses an optical sensing device. The device includes a carrier body; a first light-emitting device disposed on the carrier body; and a light-receiving device including a group III-V semiconductor material disposed on the carrier body, including a light-receiving surface having an area, wherein the light-receiving device is capable of receiving a first received wavelength having a largest external quantum efficiency so the ratio of the largest external quantum efficiency to the area is ?13.

Abstract: This application relates to an image recognition model training method, an image recognition method, apparatus, and system. The method includes: obtaining a to-be-recognized image; extracting image feature information of the to-be-recognized image; and obtaining a lesion category recognition result of the to-be-recognized image by using the image feature information of the to-be-recognized image as an input parameter of a preset image recognition model, the image recognition model being trained by using a training image sample set comprising at least one strong-label training image sample, to determine the lesion category recognition result; and the strong-label training image sample representing an image sample having strong-label information, and the strong-label information comprising at least annotation information of a lesion category and a lesion position in the strong-label training image sample.

Abstract: In a laser beam delivery system for an ophthalmic laser system, a single multi-use beam sampler is employed to form three sampled laser beams, including two for redundant laser energy monitoring and one for laser focal point depth measurement. The beam sampler is a transparent plate with preferably parallel front and back surfaces. The front surface reflects a fraction of the incoming beam to form the first sampled beam toward an energy monitoring detector. The back surface reflects another fraction of the beam to form a second sampled beam exiting backwardly from the front surface toward another energy monitoring detector. An objective lens focuses the transmitted beam onto a target, and collects back reflected or scattered light from the target to form a return beam. The back surface of the beam sampler reflects a fraction of the return beam to form the third sampled beam toward a third detector.

Abstract: An ophthalmic laser system uses a non-confocal configuration to determine a laser beam focus position relative to the patient interface (PI) surface. The system includes a light intensity detector with no confocal lens or pinhole between the detector and the objective lens. When the objective focuses the light to a target focus point inside the PI lens at a particular offset from its distal surface, the light signal at the detector peaks. The offset value is determined by fixed system parameters, and can also be empirically determined by directly measuring the PI lens surface by observing the effect of plasma formation at the glass surface. During ophthalmic procedures, the laser focus is first scanned insider the PI lens, and the target focus point location is determined from the peak of the detector signal. The known offset value is then added to obtain the location of the PI lens surface.

Abstract: An apparatus to facilitate hardware enhancements for double precision systolic support is disclosed. The apparatus includes matrix acceleration hardware having double-precision (DP) matrix multiplication circuitry including a multiplier circuits to multiply pairs of input source operands in a DP floating-point format; adders to receive multiplier outputs from the multiplier circuits and accumulate the multiplier outputs in a high precision intermediate format; an accumulator circuit to accumulate adder outputs from the adders with at least one of a third global source operand on a first pass of the DP matrix multiplication circuitry or an intermediate result from the first pass on a second pass of the DP matrix multiplication circuitry, wherein the accumulator circuit to generate an accumulator output in the high precision intermediate format; and a down conversion and rounding circuit to down convert and round an output of the second pass as final result in the DP floating-point format.

Abstract: Embodiments generally relate to ophthalmic laser procedures and, more particularly, to systems and methods for lenticular laser incisions to form a top lenticular incision, a bottom lenticular incision of a lens in the subject's eye, an added shape between the top and bottom incisions where the added shape has no corrective power and a transition ring bisecting both the top and bottom lenticular incisions.

Abstract: Determination and provision of improved representations of program flow control are provided by a method that monitors execution of binary code of a program on a computer system. The monitoring includes monitoring manipulation(s) of call stack(s) maintained by the computer system for the execution of the binary code. The method, based on the monitoring, determines function call pattern(s) and branch pattern(s) exhibited by the execution of the binary code. The method identifies, from the binary code and using the determined function call pattern(s) and branch pattern(s), function calls and branches, relations between the function calls and branches, and function and variable names. The method also provides a representation of program flow control of the program using the identified function calls and branches, relations, and function and variable names.

Abstract: Determination and provision of improved representations of program flow control are provided by a method that monitors execution of binary code of a program on a computer system. The monitoring includes monitoring manipulation(s) of call stack(s) maintained by the computer system for the execution of the binary code. The method, based on the monitoring, determines function call pattern(s) and branch pattern(s) exhibited by the execution of the binary code. The method identifies, from the binary code and using the determined function call pattern(s) and branch pattern(s), function calls and branches, relations between the function calls and branches, and function and variable names. The method also provides a representation of program flow control of the program using the identified function calls and branches, relations, and function and variable names.

Abstract: An eye-gaze tracking apparatus and a method of eye-gaze tracking. The eye-gaze tracking apparatus comprises: a plurality of foreground cameras each arranged to capture at least a portion of a target view area of a user; and an eye-gaze estimation module having at least one eye-gaze camera each arranged to capture an image an eye of the user, so as to estimate a position of a pupil of the eye based on the image of the eye; wherein each of the plurality of foreground cameras includes a field-of-view (FOV) being different from each other.

Abstract: A lost circulation detection device includes a first detection member and a second detection member, a first signal transmitter and a first signal receiver are disposed on the first detection member, and the first signal transmitter transmits a signal along an axial direction of a rockshaft so that the first signal receiver acquires data information of drilling fluid in the axial direction of the rockshaft; a fluid channel penetrating through the second detection member is disposed in the second detection member, and the fluid channel is configurable to be in communication with the rockshaft; a second signal transmitter and a second signal receiver are disposed oppositely on two sides of the fluid channel, and the second signal transmitter transmits a signal along a center line of a second accommodating groove, so that the second signal receiver acquires data information of drilling fluid in a circumferential direction of the rockshaft.

Abstract: A computer-implemented method, computer program product and computer system are provided. A processor receives an indication of sensitive data in one or more files. A processor updates at least one bit in the virtual address space for the one or more files indicated to have sensitive data. A processor, in response to a program accessing the one or more files, evaluates a respective virtual address for the one or more files. A processor, in response to the at least one bit in the respective virtual address for the one or more files, marks intermediate data generated by the program as sensitive data.

Abstract: A system for strabismus assessment and a method of strabismus assessment. The system comprises a display module arranged to display a visual stimulus to be observed by an observer; an image capturing module arranged to record a plurality of images of at least one eye of the observer observing the visual stimulus; and a processing module arranged to determine an ocular misalignment condition of the observer based on the plurality of images recorded by the image capturing module.

Abstract: Embodiments of the present disclosure relate to a method, system, and computer program product for dynamic update of a computer program in memory. According to the method, one or more processors obtain incremental information, the incremental information specifying an incremental update to at least one section of at least one target function in a computer program. One or more processors identify, based on the incremental information, the at least one target function to be updated from the computer program. One or more processors generate at least one updated copy of the at least one target function by updating the at least one section of the at least one target function based on the incremental information. One or more processors update the computer program based on the at least one updated copy of the at least one target function while the computer program is running.

Abstract: Provided herein are antibody-drug conjugates, for example, a compound of Formula (I), and pharmaceutical compositions thereof. Also provided herein are methods of their use for treating, preventing, or ameliorating one or more symptoms of a proliferative disease.

Abstract: Embodiments of this application include an image processing method and apparatus, a non-transitory computer-readable storage medium, and an electronic device. In the image processing method a to-be-predicted medical image is input into a multi-task deep convolutional neural network model. The multi-task deep convolutional neural network model includes an image input layer, a shared layer, and n parallel task output layers. One or more lesion property prediction results of the to-be-predicted medical image is output through one or more of the n task output layers. The multi-task deep convolutional neural network model is trained with n types of medical image training sets, n being a positive integer that is greater than or equal to 2.