Abstract: A genetically-modified rat having a PKHD1L1 gene with a point or other mutation and a construction method thereof are disclosed. A CRISPR/Cas9 system knocks the PKHD1L1 gene into a rat source, and a codon changes from TTA to TCA to construct the mutant PKHD1L1 gene. The genetically-modified rat can be applied to epilepsy pathogenesis studies and design and testing of new anti-epileptic drugs. Methods for detecting abnormal cortical excitability and detecting an epileptic phenotype of an animal can use the genetically-modified rat. A somatosensory evoked potential is used to detect whether the genetically-modified rat has an abnormal cortical excitability phenotype, so as to confirm whether the rat can be a successful model for testing anti-epileptic drugs. The method can detect abnormal cortical excitability and verify the effectiveness of anti-epileptic drugs or treatments.

Abstract: The present disclosure provides MEK inhibitors, compositions thereof, and methods of using the same.

Abstract: A deep neural network based hair rendering system is presented to model high frequency component of furry objects. Compared with existing approaches, the present method can generate photo-realistic rendering results. An acceleration method is applied in our framework, which can speed up training and rendering processes. In addition, a patch-based training scheme is introduced, which significantly increases the quality of outputs and preserves high frequency details.

Abstract: The present invention relates to methods and compositions for the treatment of BAF-related disorders such as acute myeloid leukemia.

Abstract: The present invention relates to methods and compositions for the treatment of BAF-related disorders such as melanoma, prostate cancer, breast cancer, bone cancer, renal cell carcinoma, and hematologic cancer.

Abstract: Described herein are systems and methods for training machine learning models to generate three-dimensional (3D) motions based on light detection and ranging (LiDAR) point clouds. In various embodiments, a computing system can encode a machine learning model representing an object in a scene. The computing system can train the machine learning model using a dataset comprising synchronous LiDAR point clouds captured by monocular LiDAR sensors and ground-truth three-dimensional motions obtained from IMU devices. The machine learning model can be configured to generate a three-dimensional motion of the object based on an input of a plurality of point cloud frames captured by a monocular LiDAR sensor.

Abstract: A genetically-modified rat having a PKHD1L1 gene with a point or other mutation and a construction method thereof are disclosed. A CRISPR/Cas9 system knocks the PKHD1L1 gene into a mouse source, and a codon changes from TTA to TCA to construct the mutant PKHD1L1 gene. The genetically-modified rat can be applied to epilepsy pathogenesis studies and design and testing of new anti-epileptic drugs. Methods for detecting abnormal cortical excitability and detecting an epileptic phenotype of an animal can use the genetically-modified rat. A somatosensory evoked potential is used to detect whether the genetically-modified rat has an abnormal cortical excitability phenotype, so as to confirm whether the rat can be a successful model for testing anti-epileptic drugs. The method can detect abnormal cortical excitability and verify the effectiveness of anti-epileptic drugs or treatments.

Abstract: The present disclosure features useful methods to treat cancer, e.g., in a subject in need thereof. In some embodiments, the methods described include administering an agent that reduces the level and/or activity of BRM/BRG1 in combination with an immunotherapy. In some embodiments, the immunotherapy is administered concurrently with the agent that reduces the level and/or activity of BRM and/or BRG1 in the subject. In some embodiments, the immunotherapy is administered prior to the agent that reduces the level and/or activity of BRM and/or BRG1 in the subject. In some embodiments, the immunotherapy is administered subsequent to the agent that reduces the level and/or activity of BRM and/or BRG1 in the subject.

Abstract: The present provides an electrospinning apparatus for fabricating a nanofiber of core-shell structure, including a high-voltage electrostatic generator, a frame and a liquid brusher. A horizontally moving means is connected to the frame, and the horizontally moving means is connected with the liquid brusher. A chain-drive mechanism and a first reservoir are provided below the liquid brusher, the chain-drive mechanism includes a first sprocket and a second sprocket, and a chain is connected between the first sprocket and the second sprocket. The chain is engaged with a spray sprocket, and the spray sprocket is connected with a first motor via a revolving shaft. A core solution is contained in the first reservoir, and the lower portion of the spray sprocket is immersed in the core solution. The horizontally moving means drives the liquid brusher to move along the chain, and the liquid brusher brushes the shell solution over the chain.

Abstract: A computer-implemented method of generating editable free-viewport videos is provided. A plurality of video of a scene from a plurality of views is obtained. The scene comprises includes an environment and one or more dynamic entities. A 3D bounding-box is generated for each dynamic entity in the scene. A computer device encodes a machine learning model including an environment layer and a dynamic entity layer for each dynamic entity in the scene. The environment layer represents a continuous function of space and time of the environment. The dynamic entity layer represents a continuous function of space and time of the dynamic entity. The dynamic entity layer includes a deformation module and a neural radiance module. The deformation module is configured to deform a spatial coordinate in accordance with a timestamp and a trained deformation weight. The neural radiance module is configured to derive a density value and a color.

Abstract: This disclosure relates to antibodies, antigen-binding fragments, protein constructs, and chimeric antigen receptors that bind to a complex comprising an AFP peptide and an MHC molecule, and the uses thereof.

Abstract: Described herein are methods and non-transitory computer-readable media configured to obtain a plurality of images from a plurality of image scanning orientations for an object. A rigid registration is performed to the plurality of images to obtain a transformation matrix to normalize the plurality of images from their respective image spaces to a normalized image space. Each normalized image comprises a plurality of voxels. A machine learning model comprising an implicit representation of a high-resolution image is trained using the normalized images, wherein the high-resolution image comprises more voxels than the voxels in the normalized images. The high-resolution image is generated based on the trained machine learning model. The plurality of images are a plurality of anisotropic 2D images, while the high resolution image can be a 2D or 3D high resolution image.

Abstract: The present disclosure provides MEK inhibitors, compositions thereof, and methods of using the same.

Abstract: A deep neural network based hair rendering system is presented to model high frequency component of furry objects. Compared with existing approaches, the present method can generate photo-realistic rendering results. An acceleration method is applied in our framework, which can speed up training and rendering processes. In addition, a patch-based training scheme is introduced, which significantly increases the quality of outputs and preserves high frequency details.

Abstract: Provided are a three-dimensional reconstruction method, apparatus and system of a dynamic scene, a server and a medium. The method includes: acquiring multiple continuous depth image sequences of the dynamic scene, where the multiple continuous depth image sequences are captured by an array of drones equipped with depth cameras; fusing the multiple continuous depth image sequences to establish a three-dimensional reconstruction model of the dynamic scene; obtaining target observation points of the array of drones through calculation according to the three-dimensional reconstruction model and current poses of the array of drones; and instructing the array of drones to move to the target observation points to capture, and updating the three-dimensional reconstruction model according to multiple continuous depth image sequences captured by the array of drones at the target observation points.

Abstract: A server determines, at a first predetermined time, a default decision as to whether to provide a first media content clip after the end of a first media content item. At a second predetermined time, after the first predetermined time, the server initiates a determination of a first decision as to whether to provide the first media content clip after the end of the first media content item. In accordance with the first decision being reached within a predetermined latency period, the server provides the first media content clip to the first electronic device in accordance with the first decision. In accordance with a determination that the predetermined latency period has elapsed without the first decision being reached, provides the first media content clip to the first electronic device in accordance with the default decision.

Abstract: The present disclosure provides MEK inhibitors, compositions thereof, and methods of using the same.

Abstract: The present disclosure provides MEK inhibitors, compositions thereof, and methods of using the same.

Abstract: Systems, methods, and non-transitory computer-readable media are configured to obtain a set of content items to train a neural radiance field-based (NeRF-based) machine learning model for object recognition. Depth maps of objects depicted in the set of content items can be determined. A first set of training data comprising reconstructed content items depicting only the objects can be generated based on the depth maps. A second set of training data comprising one or more optimal training paths associated with the set of content items can be generated based on the depth maps. The one or more optimal training paths are generated based at least in part on a dissimilarity matrix associated with the set of content items. The NeRF-based machine learning model can be trained based on the first set of training data and the second set of training data.

Abstract: The present provides an electrospinning apparatus for fabricating a nanofiber of core-shell structure, including a high-voltage electrostatic generator, a frame and a liquid brusher. A horizontally moving means is connected to the frame, and the horizontally moving means is connected with the liquid brusher. A chain-drive mechanism and a first reservoir are provided below the liquid brusher, the chain-drive mechanism includes a first sprocket and a second sprocket, and a chain is connected between the first sprocket and the second sprocket. The chain is engaged with a spray sprocket, and the spray sprocket is connected with a first motor via a revolving shaft. A core solution is contained in the first reservoir, and the lower portion of the spray sprocket is immersed in the core solution. The horizontally moving means drives the liquid brusher to move along the chain, and the liquid brusher brushes the shell solution over the chain.