Abstract: A method and a system for calculating tumor neoantigen burden (TNB) are provided. The method includes: step S1: processing a normal sample and a tumor sample, sequencing a specific region and detecting somatic mutations in the sample; step S2: annotating and filtering the somatic mutations, and translating to obtain mutant peptide sequences of a patient; step S3: filtering the mutant peptide sequences to obtain neopeptide sequences based on a proteome of the normal sample; step S4, performing a human leukocyte antigen (HLA) typing analysis based on alignment data of the normal sample to obtain HLA genotypes of the sample; step S5, predicting binding affinities between the neopeptide sequences and the HLA genotypes to obtain specific neoantigens of the sample, and performing a weighted scoring on each of the specific neoantigens and calculating the TNB of the sample.

Abstract: A computer includes a processor and memory, the memory can store instructions executable by the processor to display a first calibration symbol to appear at a first location of a virtual image plane viewable from a measured location of the eyes or head of an operator and display a second calibration symbol to appear at a second location of the virtual image plane according to an offset distance from the first location. The instructions additionally can additionally be to adjust the offset distance in response to adjusting the second location by receiving input from the operator to align the first calibration symbol with the second calibration symbol.

Abstract: A method for forming a complex shape three-dimensional ceramic article by printing a first layer of a first material having a first fraction of first ceramic particles and a first fraction of a first polymeric ceramic precursor. A second layer is printed such that it is at least partially disposed on the first layer of a second material having a second fraction of second ceramic particles and a second fraction of a second polymeric ceramic precursor. A composite of the first layer and the second layer is heated at a temperature sufficient to decompose the first and second polymeric ceramic precursors and sinter the article. During the sintering process, the first and second layers with different fractions of ceramic particles undergo different degrees of shrinkage, resulting in a tuneable mismatch of the bilayer structure and accurately achieving a targeted geometry.

Abstract: A non-invasive time domain reflection probe calibration method includes: using different volume ratio of ethanol and deionized water mixed solution to calculate a test target's medium weight coefficient and waveguide length of the non-invasive time domain reflection probes; using different concentrations of NaCl solutions to calibrate a waveguide geometric dimensioning of the non-invasive time domain reflection probes; preparing compacted soil samples with known different moisture contents and densities, and calibrating a correlation parameter of compacted soil samples' dielectric constant and conductivity with moisture content and density. The method not only determines the sensitivity of the test target medium of the non-invasive time domain reflection probes, but also obtains the waveguide length and geometric dimensioning of the probe, and realizes an accurate test of moisture content and density of the soil.

Abstract: In a rail detection system, a traveling mechanism and a horizontal moving mechanism move a detection device accurately to a position directly above a position to be detected by moving parallel to an extension direction of the rail. A vertical lifting mechanism is provided with the detection device, and can drive the detection device to lift up and down. A aligning mechanism is connected with the detection device, and includes a force-bearing mechanism and a follow-up mechanism. The force-bearing mechanism is configured to generate a force along a direction perpendicular to the extension direction of the rail when being in a non-aligned position. Under the condition of being forced, the follow-up mechanism makes an adaptive adjustment movement along the direction perpendicular to the extension direction of the rail so that the detection device is aligned with a center of the rail.

Abstract: A set of training images are input into a neural network that outputs a pixel-wise phase matrix identifying pixels in the training images. Based on the pixel-wise phase matrix, a spatial light modulator (SLM) is actuated to output, onto a vehicle windshield, an augmented reality (AR) image including a plurality of sub-images each output in one of a plurality of focal planes. Each training image corresponds to one respective sub-image. A feedback image of the AR image is obtained via an image sensor. An offset is determined based on comparing the training images to the feedback image. Parameters of a loss function are updated based on the offset, and the updated parameters are provided to the neural network to obtain an updated offset.

Abstract: Systems and methods for virtual vehicle parking assistance are disclosed herein. An example method includes determining a current vehicle position and vehicle dimensions of a vehicle, determining parking space dimensions of a parking space, receiving a desired parking position for the vehicle through an augmented reality interface, the augmented reality interface including a three-dimensional vehicle model based on the vehicle dimensions, the augmented reality interface being configured to allow a user to virtually place the three-dimensional vehicle model in the parking space to determine the desired parking position, determining a virtual parking procedure for the vehicle based on the desired parking position selected by the user and the parking space dimensions of a parking space and causing the vehicle to autonomously park based on the virtual parking procedure.

Abstract: A roadway complexity awareness system for a vehicle, comprising a processor, an augmented reality interface disposed in communication with the processor, and a memory for storing executable instructions. The processor is programmed to execute the instructions to receive roadway status information from an infrastructure processor associated with a roadway, obtain, from a vehicle sensory system, sensory information indicative of roadway route complexity, and determine a likelihood of roadway route complexity based on the roadway status information and the sensory information. The system may select an augmented reality message indicative of the roadway route complexity, and generate the augmented reality message using an augmented reality interface device, wherein the augmented reality message is visible to a vehicle operator.

Abstract: The disclosure generally pertains to systems and methods for providing a delivery assistance service having an augmented-reality digital companion (ARDC). In an example method, a first set of instructions can be received via the ARDC. The first set of instructions can direct a delivery driver to an assigned delivery vehicle within a parking lot. A second set of instructions including a driving destination can be received via the ARDC. When the delivery driver has reached the driving destination, a third set of instructions can be received via the ARDC. The third set of instructions can include a route from the driving destination to a delivery location. When the delivery driver is traveling along the route, first pop-up information can be provided via the ARDC. The delivery request can be completed, and second pop-up information can be provided via the ARDC to assist the delivery driver in reaching an intended destination.

Abstract: Methods and systems are presented for providing automated online chat assistance in multiple languages. A query in a first language is received via a chat robot from a user device. The query is machine-translated into a second language and transmitted to an artificial intelligence system that includes a dialog tree configured in the second language. The artificial intelligence system determines a response in the second language to the query by locating a node corresponding to an intent based on the query in the dialog tree. The node includes a node ID and response text in the second language. The artificial intelligence system transmits the second-language response including the node ID to the chat robot. The second-language response is intercepted, and first-language response text corresponding to the second-language response text is determined based on the node ID. The second-language response text is then provided to the user device by the chat robot.

Abstract: Systems and methods for virtual vehicle parking assistance are disclosed herein. An example method includes determining a current vehicle position and vehicle dimensions of a vehicle, determining parking space dimensions of a parking space, receiving a desired parking position for the vehicle through an augmented reality interface, the augmented reality interface including a three-dimensional vehicle model based on the vehicle dimensions, the augmented reality interface being configured to allow a user to virtually place the three-dimensional vehicle model in the parking space to determine the desired parking position, determining a virtual parking procedure for the vehicle based on the desired parking position selected by the user and the parking space dimensions of a parking space and causing the vehicle to autonomously park based on the virtual parking procedure.

Abstract: A method and system for providing integrated augmented reality (AR) images and content to multiple vehicle occupants having AR devices and methods of generating user-based AR expressions including content control of user generated content.

Abstract: A roadway complexity awareness system for a vehicle, comprising a processor, an augmented reality interface disposed in communication with the processor, and a memory for storing executable instructions. The processor is programmed to execute the instructions to receive roadway status information from an infrastructure processor associated with a roadway, obtain, from a vehicle sensory system, sensory information indicative of roadway route complexity, and determine a likelihood of roadway route complexity based on the roadway status information and the sensory information. The system may select an augmented reality message indicative of the roadway route complexity, and generate the augmented reality message using an augmented reality interface device, wherein the augmented reality message is visible to a vehicle operator.

Abstract: A User-centric Enhanced Pathway (UEP) system may provide vehicle pathway guidance while driving using an augmented reality display system in the event of sun glare. The system uses a route observer module programmed to predict sun glare, by obtaining real-time information about the interior and exterior vehicle environment, heading, speed, and other data. The route observer module may also use an inward-facing camera to determine when the driver is squinting, which may increase the probability function that predicts when the driver is experiencing sun glare. When sun glare is predicted, the route observer sends the weighted prediction function and input signals to a decision module that uses vehicle speed, location, and user activity to determine appropriate guidance output for an enhanced pathway using an Augmented Reality (AR) module. The AR module may adjust brightness, contrast, and color of the AR information based on observed solar glare.

Abstract: Gait, the walking pattern of individuals, is one of the most important biometrics modalities. Most of the existing gait recognition methods take silhouettes or articulated body models as the gait features. These methods suffer from degraded recognition performance when handling confounding variables, such as clothing, carrying and view angle. To remedy this issue, a novel AutoEncoder framework is presented to explicitly disentangle pose and appearance features from RGB imagery and a long short-term memory integration of pose features over time produces the gait feature.

Abstract: A User-centric Enhanced Pathway (UEP) system may provide vehicle pathway guidance while driving using an augmented reality display system in the event of sun glare. The system uses a route observer module programmed to predict sun glare, by obtaining real-time information about the interior and exterior vehicle environment, heading, speed, and other data. The route observer module may also use an inward-facing camera to determine when the driver is squinting, which may increase the probability function that predicts when the driver is experiencing sun glare. When sun glare is predicted, the route observer sends the weighted prediction function and input signals to a decision module that uses vehicle speed, location, and user activity to determine appropriate guidance output for an enhanced pathway using an Augmented Reality (AR) module. The AR module may adjust brightness, contrast, and color of the AR information based on observed solar glare.

Abstract: A method and system for providing integrated augmented reality (AR) images and content to multiple vehicle occupants having AR devices and methods of generating user-based AR expressions including content control of user generated content.

Abstract: Methods and systems are presented for providing automated online chat assistance in multiple languages. A query in a first language is received via a chat robot from a user device. The query is machine-translated into a second language and transmitted to an artificial intelligence system that includes a dialog tree configured in the second language. The artificial intelligence system determines a response in the second language to the query by locating a node corresponding to an intent based on the query in the dialog tree. The node includes a node ID and response text in the second language. The artificial intelligence system transmits the second-language response including the node ID to the chat robot. The second-language response is intercepted, and first-language response text corresponding to the second-language response text is determined based on the node ID. The second-language response text is then provided to the user device by the chat robot.

Abstract: Techniques are disclosed relating to task execution with non-blocking calls. A computer system may receive a request to perform an operation comprising a plurality of tasks, each of which corresponds to a node in a graph. A particular one of the plurality of tasks specifies a call to a downstream service. The computer system may maintain a plurality of task queues, each of which is associated with a thread pool. The computer system may enqueue, in an order specified by the graph, the plurality of tasks in one or more of the plurality of task queues. The computer system may process the plurality of tasks. Such processing may include a thread of a particular queue in which the particular task is enqueued performing a non-blocking call to the downstream service. After processing the plurality of tasks, the computer system may return a result of performing the operation.

Abstract: A method includes determining a location of a roadside object relative to a vehicle interior based on one or more of a vehicle Global Positioning System (GPS) location, a vehicle heading, and environmental data, and generating a first virtual representation of the roadside object in an augmented reality (AR) world coordinate system. A processor synchronizes a vehicle coordinate system with the AR world coordinate system, in which a virtual representation of the roadside object is generated. The method further includes orienting a driver AR wearable device with the synchronized vehicle coordinate system, determining an identity associated with a user of the driver AR wearable device, and generating, based at least in part on the identity associated with the user of the driver AR wearable device, a virtual representation of the roadside object in an AR world coordinate system aligned with the vehicle GPS location and the vehicle heading.