Abstract: The disclosure discloses a method for training a large model, an apparatus for training a large model, an electronic device and a storage medium, and relates to a field of computer technologies, especially to a field of artificial intelligence technologies such as large model and deep learning.

Abstract: The present disclosure provides a method for preventing and/or repairing ocular cell damage by using a Streptococcus thermophilus iHA318 strain and its metabolites.

Abstract: The present invention relates to endoproteases. More particularly, the present invention relates to the use of endoproteases for reduction or elimination of beer haze.

Abstract: A method and apparatus that derives a curve of a mesh sequence from a frame of a video bitstream, the curve comprising a plurality of vertices; subdivides the curve by adding a plurality of subdivided vertices; calculates one or more displacement vectors between each of the plurality of vertices on the curve and each of the plurality of subdivided vertices on the subdivided curve; transforms the one or more displacement vectors to output one or more original coefficients; tracks the current frame with a previous frame to obtain a one-to-one correspondence between the plurality of vertices of the current frame and a plurality of vertices of the previous frame; predicts one or more coefficients of each of the plurality of vertices in current frame based on the one-to-one correspondence; performs entropy coding on one or more prediction residues; and encodes the one or more prediction residues.

Abstract: A method performed by encoder comprises partitioning a mesh into a first side and a second side; determining, for a first vertex located on the first side, whether a first perpendicular line extending from the first vertex intersects with two or more surfaces of the mesh on the second side, each intersection of the first perpendicular line corresponding to an intersected vertex on the second side; based on the determination the first perpendicular line intersects with two or more surfaces of the mesh on the second side, selecting one of the intersected vertices on the second side as a second vertex corresponding to the first vertex based on a shortest distance between each intersected vertex and a predicted vertex on the second side that is symmetric to the first vertex; and generating a new connection in the mesh.

Abstract: Provided is a semiconductor device including: a substrate, a plurality of isolation structures, a plurality of channel layers, and a gate structure. The substrate includes a plurality of fins thereon. The plurality of isolation structures are respectively disposed between the plurality of fins. A top surface of the plurality of isolation structures is higher than a top surface of the plurality of fins to form a plurality of openings. The plurality of channel layers are respectively disposed in the plurality of openings. Each channel layer is in contact with a corresponding fin and extends to cover a lower sidewall of a corresponding isolation structure, thereby forming a U-shaped structure. The gate structure is filled in the plurality of openings and extends to cover the top surface of the plurality of isolation structures.

Abstract: A method of fabricating a semiconductor device includes the following steps. A plurality of doped regions are formed in a substrate. A first dielectric layer is formed on the substrate. A plurality of first contacts and second contacts are formed in the first dielectric layer to be connected to the plurality of doped regions. A memory element is formed on the first dielectric layer. The memory element is electrically connected to the second contact. A second dielectric layer is formed on the first dielectric layer. The second dielectric layer surrounds the memory element. A conductive line is formed in the second dielectric layer. A top surface of the conductive line is at a same level as a top surface of the memory element, and the conductive line is electrically connected to the plurality of first contacts.

Abstract: A method of mesh processing includes receiving coded information of a mesh, the coded information includes position connectivity of a plurality of 3D vertices of a mesh in a 3D space, and a correspondence of the plurality of 3D vertices to UV vertices in a UV space for the mesh. The method further includes generating a reconstructed mesh in the 3D space by the plurality of 3D vertices according to the position connectivity, and determining seam vertices from the plurality of 3D vertices. The method also includes performing a prediction of seam edges in the 3D space based on at least the seam vertices, at least an edge between two seam vertices is predicted to be a seam edge. The method can also include cutting the reconstructed mesh into patch components according to the seam edges and determining UV connectivity of the UV vertices according to the patch components.

Abstract: A method of mesh processing includes receiving coded information of a mesh, the coded information including position connectivity of a plurality of 3D vertices of a mesh in a 3D space, and a correspondence of the plurality of 3D vertices to UV vertices in a UV space for the mesh; determining UV connectivity of the UV vertices; determining, based on the coded information, a first initial UV vertex in a first UV chart in the plurality of UV charts; determining first UV vertices in the first UV chart according to a traversing order of 3D vertices corresponding to the first UV vertices in the first UV chart, the traversing order starting from the first initial UV vertex and traversing each UV vertex in the first UV chart; decoding, from the coded information, prediction residuals of the first UV vertices; and determining first UV coordinates of the first UV vertices accordingly.

Abstract: In some examples, processing circuitry receives at least a first mesh frame associated with a first time instance and a second mesh frame associated with a second time instance. The first mesh frame includes a first two dimension (2D) map with first patches having three-dimension (3D) information mapped to 2D. The second mesh frame includes a second 2D map with second patches having 3D information mapped to 2D. The processing circuitry identifies that a first patch in the first patches is a reference matching patch for a second patch in the second patches. Further, the processing circuitry determines first re-map transform parameters for a temporal alignment of the second patch to the first patch, and generates a new second 2D map that includes a transformed second patch that is transformed from the second patch according to the first re-map transform parameters.

Abstract: A method performed includes encoding a first vertex, a second vertex, and a third vertex of a first face of a polygon mesh; determining a set of adaptive weights that comprise a first weight, a second weight, and a third weight; and performing parallelogram prediction to predict a fourth vertex in a second face of the polygon mesh by applying the first weight to the first vertex, the second weight to the second vertex, and the third weigh to the third vertex, in which the first weight is less than 0.8 and greater than 0, in which the second weight is greater than ?0.8 and less than 0, and in which the third weight is less than 0.9 and greater than 0.

Abstract: Systems and methods for determining body composition by combining dual-energy x-ray (DXA) technology with three-dimensional (3D) optical technology and/or bioimpedance technology. A multi-modality scanning system may include a dual-energy x-ray source and an x-ray detector mounted to opposing sides a c-arm and configured to scan a patient on a optically translucent table. The system may also include one or more 3D optical imaging devices to capture 3D optical images of the patient substantially concurrently with the emission of the dual energy x-rays. A bioimpedance machine may also be included in the multi-modality scanning system. Data based on the dual-energy x-rays may be combined with the data from the 3D optical images and/or the bioimpedance data to generate values of at least three compartments selected from: bone, fat tissue, lean tissue, dehydrated lean tissue, and water.

Abstract: A packet processing method includes: a first device receives a packet from a second device; the first device determines a first queue buffer used to store the packet, and determines a first upper limit value of the first queue buffer based on an available value of a first port buffer and an available value of a global buffer, where the global buffer includes at least one port buffer, the first port buffer is one of the at least one port buffer, the first port buffer includes at least one queue buffer, and the first queue buffer is one of the at least one queue buffer. The first device processes the packet based on the first upper limit value of the first queue buffer, an occupation value of the first queue buffer, and a size of the packet.

Abstract: A method and apparatus comprising computer code for mesh attribute coding using a dual degree encoder or decoder configured to cause a processor or processors to receive at least two sub-meshes and determine a pair of vertices with a minimum cost for prediction, wherein a first vertex of the pair of vertices is a part of the first sub-mesh, wherein a second vertex of the pair of vertices is a part of the second sub-mesh. The method may cause a processor or processors to set the first vertex of the pair of vertices as a predictor vertex to the second sub-mesh to be encoded. The method may cause a processor or processors to encode the second sub-mesh in a first encoding order, wherein the second vertex of the pair of vertices is encoded first in the second sub-mesh.

Abstract: A method and apparatus comprising computer code configured to cause a processor or processors to obtain, from a bitstream, a mesh representing an encoded volumetric data of at least one three-dimensional (3D) visual content; partition a plurality of vertices of the mesh into a plurality of groups; and decode the encoded volumetric data by predicting the vertices in each group of the plurality of groups based on a plurality of traversal orders depending on an adaptive reference vertex of the vertices, and the plurality of traversal orders includes a first order from the adaptive reference vertex to a first alternative reference vertex of the vertices, and wherein the plurality of traversal orders includes a second order from the adaptive reference vertices to a second alternative reference vertex of the vertices.

Abstract: A quantum block-chained authentication solution with quantum authentication processes for data transmissions passing through a peer-to-peer (P2P) network including a plurality of agent nodes comprises a system that is capable of not only performing a smart contract on a block-chained virtual-machine mechanism for transmitting a data from an agent node to another agent node passing through a plurality of paths in a secure way implemented via proprietary quantum authentication processes, but also detecting and reacting to a malicious behavior within a transmission in time.

Abstract: A method, computer program, and computer system are provided for image segmentation. Image data, such as biological image data, is received. One or more objects associated with the received image data is detected. One or more regions of interest are determined within the receive image data corresponding to one or more segments based on the detected objects.

Abstract: A method and apparatus comprising computer code configured to cause a processor or processors to obtain volumetric data of at least one three-dimensional (3D) visual content, derive a mesh from a frame of the volumetric data, the mesh including a plurality of base mesh vertices, determine a displacement of at least one vertex, that is not of the base mesh vertices, based on a series of projections from at least one of the plurality of base mesh vertices that is a neighboring one of the plurality of base mesh vertices to the at least one vertex, predicting the at least one vertex based at least on the determined displacement, and encode the volumetric data based on the predicted at least one vertex.

Abstract: A method of fabricating a semiconductor device includes the following steps. A plurality of doped regions are formed in a substrate. A first dielectric layer is formed on the substrate. A plurality of first contacts and second contacts are formed in the first dielectric layer to be connected to the plurality of doped regions. A memory element is formed on the first dielectric layer. The memory element is electrically connected to the second contact. A second dielectric layer is formed on the first dielectric layer. The second dielectric layer surrounds the memory element. A conductive line is formed in the second dielectric layer. A top surface of the conductive line is at a same level as a top surface of the memory element, and the conductive line is electrically connected to the plurality of first contacts.

Abstract: This disclosure relates generally to coding and decoding of 3-dimensional (3D) mesh and specifically to efficient coding of a vertex degree and face degree of 3D polygon mesh. In some implementations, when encoding a face, a vertex of the face following a split vertex of the face may be linked rather than signaled. In some other example implementations, a context for entropy encoding/decoding a vertex in the vertex degree or a face in the face degree may be selected based on cross characteristics in the face degree or the vertex degree.