Abstract: A data encoding method includes obtaining an attribute residual of a current point cloud point, binarizing the attribute residual to obtain a binary code of the current point cloud point that includes a first binary code indicating a first flag bit and a second binary code indicating a second flag bit, selecting a first context model from a context model list according to a first condition, selecting a second context model from the context model list according to a second condition, encoding the first binary code using the first context model, and encoding the second binary code using the second context model. The first condition and the second condition are different for the first context model and the second context model corresponding to a same index in the context model list.

Abstract: The present invention is directed to a method of determining the percentage of full capsids in an adeno-associated virus (AAV) sample comprising AAVs. The invention features two basic steps. The first step involves separating each sample into two aliquots. One aliquot is kept at room temperature (RT), while the other aliquot is heated below the AAV melting point to disrupt the binding affinity of the AAVs to an anti-AAV coated probe. Heating an AAV aliquot leads to differential binding affinity of empty capsids versus full capsids on the anti-AAV-coated probe. The heated empty capsids retain their binding affinity to the probe, while the heated full capsids significantly reduce their binding affinity to the probe. The second step involves measuring the wavelength shifts of heated and RT aliquots due to light interference, and calculating their ratio. By quantitating the ratio against a standard curve, the amount of empty capsids versus full capsids in an unknown sample can be determined.

Abstract: A cruise control method and system, and a vehicle, the method being applied to a first vehicle. When the first vehicle is driving in a first lane, before the first vehicle enters from the first lane into a preset recognition region to thereby complete vehicle identity recognition in the preset recognition region, the cut-in probability of a second vehicle cutting into the first lane can be predicted according to a movement parameter of the second vehicle that is in an adjacent second lane, and it is determined, according to the cut-in probability and the stopping time of the first vehicle, whether to brake to stop the first vehicle; therefore, during the process of controlling the first vehicle to pass through the preset recognition region, the driver is not required to temporarily take over control of the first vehicle.

Abstract: A data encoding method includes determining a value of a syntax element of point cloud data of a point cloud. The point cloud data includes attribute values of the point cloud and the syntax element indicates a search range of the attribute values during prediction encoding. The method further includes performing prediction processing on the attribute values according to the search range to obtain residuals of the attribute values, and encoding the residuals and a difference between the value of the syntax element and a constant value to generate code stream data. The constant value is a positive number.

Abstract: The present invention is directed to a method of determining DNA concentration in a DNA virus. The invention features three basic steps. The initial step is the specific capture of a defined amount of virus capsid particles on a first solid phase. The second step is lysis of the capsid to release the virus DNA from the first solid phase into a lysis solution. After separating the lysis solution from the first solid phase, the third step is contacting the lysis solution with a second solid phase. The second solid phase captures total DNA derived from the captured capsid. The present invention is also directed to a method for measuring the percentage of full virus capsid, comprising first determining the ssDNA concentration in viruses, and then converting the ssDNA concentration to percentage of full virus capsid using a calibration curve having DNA concentration plotted against standards of % of full capsids.

Abstract: A three-dimensional data point encoding method, decoding method, and encoding device. The encoding method includes: determining maximum values of side lengths of a cuboid of three-dimensional data points to be encoded in three directions according to position coordinates of the three-dimensional data points to be encoded; performing at least one octree partition process on the cuboid, to obtain a plurality of first-type sub-blocks; performing at least one quadtree partition process or binary tree partition process on at least one first-type sub-block of the plurality of first-type sub-blocks; and encoding the three-dimensional data points to be encoded according to partition results of the cuboid.

Abstract: The present invention is directed to biochemical assay methods, which uses a biotin-immobilized solid support surface for quantitating an analyte or measuring kinetic binding in different samples, from about 3 to 20 times, while maintaining acceptable assay performance. The methods use a streptavidin capture solution comprising streptavidin or preferably streptavidin polymers. The biotin-immobilized solid support surface is regenerated after each cycle of reactions by contacting the surface in an acidic solution having pH about 1-4, followed by DMSO. The regeneration step removes the bound immunocomplex and leaves the biotin on the surface.

Abstract: Methods and apparatuses are described for intelligent imputation of missing data in a machine learning (ML) dataset comprised of a plurality of features. Each feature includes a plurality of values, where at least a portion of the values for one or more features are missing. A server analyzes the ML dataset to generate characteristics of the missing values in the ML dataset. The server selects an imputation algorithm for filling in the missing values based upon the identified characteristics. The server determines a computing environment in which the imputation algorithm is executed based upon one or more of a size of the ML dataset or the selected algorithm. The server generates code that comprises instructions for executing the imputation algorithm on the ML dataset in the computing environment. The server integrates the code into an ML platform that executes the code to assign replacement values to the missing values.

Abstract: Methods and apparatuses are described for intelligent imputation of missing data in a machine learning (ML) dataset comprised of a plurality of features. Each feature includes a plurality of values, where at least a portion of the values for one or more features are missing. A server analyzes the ML dataset to generate characteristics of the missing values in the ML dataset. The server selects an imputation algorithm for filling in the missing values based upon the identified characteristics. The server determines a computing environment in which the imputation algorithm is executed based upon one or more of a size of the ML dataset or the selected algorithm. The server generates code that comprises instructions for executing the imputation algorithm on the ML dataset in the computing environment. The server integrates the code into an ML platform that executes the code to assign replacement values to the missing values.

Abstract: The present invention is directed to biochemical assay methods, which re-use a hapten-immobilized test probe and reagents for quantitating an analyte or measuring kinetic binding in different samples, anywhere from about 3 to 20 times, while maintaining acceptable assay performance. The methods use a conjugate solution either comprising (i) an anti-hapten antibody and a capture antibody against an analyte, or (ii) an anti-hapten antibody and streptavidin, in each cycle and regenerate the hapten-coated test probe by dipping the test probe in an acidic solution having pH about 1-4, optionally further dipping in a DMSO solution, after the completion of each cycle of reaction. The robustness of the hapten-immobilized solid phase allows utilization of denaturation reagents for efficient elution of the immune complexes after each cycle without compromising the binding activity of the hapten on the solid phase.

Abstract: The visualization of progress of a distributed computational job at multiple points of execution. After a computational job is compiled into multiple vertices, and then those multiple vertices are scheduled on multiple processing nodes in a distributed environment, a processing gathering module gathers processing information regarding processing of multiple vertices of a computational job, and at multiple instances in time in the execution of the computational job. A user interface module graphically presents a representation of an execution structure representing multiple nodes of the computational job, and dependencies between the multiple nodes, where the nodes may be a single vertex or a group of vertices (such as a stage).

Abstract: Methods and apparatuses are described for unstructured computer text is analyzed for masking of confidential information using artificial intelligence. A client device generates a message comprising unstructured computer text including confidential information. A server trains a word embedding model using the unstructured text. The server generates a multidimensional vector for each word in the unstructured text, generates a mapping table comprising a predetermined set of words corresponding to confidential information from the unstructured text, and determines one or more neighboring words in the trained word embedding model using the predetermined set of words. The server updates the mapping table to incorporate the one or more neighboring words and executes rules on the unstructured text that filter out one or more words, and applies the updated mapping table to match words in the updated mapping table with words in the filtered text and mask the matching words in the unstructured text.

Abstract: A cruise control method and system, and a vehicle, the method being applied to a first vehicle. When the first vehicle is driving in a first lane, before the first vehicle enters from the first lane into a preset recognition region to thereby complete vehicle identity recognition in the preset recognition region, the cut-in probability of a second vehicle cutting into the first lane can be predicted according to a movement parameter of the second vehicle that is in an adjacent second lane, and it is determined, according to the cut-in probability and the stopping time of the first vehicle, whether to brake to stop the first vehicle; therefore, during the process of controlling the first vehicle to pass through the preset recognition region, the driver is not required to temporarily take over control of the first vehicle.

Abstract: A physically unclonable function (PUF) device includes a hybrid Boolean network module of a ring of N number of Boolean nodes connected end to end and a sampling module, wherein the hybrid Boolean network module comprises N number of xor logic gates and corresponding N number of multiplexers, wherein a function change module is disposed between an output end of a first xor logic gate of the N number of xor logic gates and an input end of a first multiplexer of the N number of multiplexers, wherein each Boolean node is provided with four input ends and three output ends, the four input ends respectively connected to an output end of each of two juxtaposing Boolean nodes, an initial excitation signal and a control delay signal, the three output ends respectively output to an input of each of two juxtaposing Boolean nodes, and the sampling module.

Abstract: Disclosed by the present invention is an ultra-wideband white noise source based on a slicing super-continuum spectrum. The entropy source used is a super-continuum spectrum photon entropy source having a coverage range of several hundreds of nm, white noise can thus be generated in a wide frequency range, thereby effectively avoiding the bandwidth bottleneck of an electronic device. By separately adjusting the filter centers of two optical filters, the center frequency for generating the white noise can be adjusted so as to get adapted to different working situations. High bandwidth white noise can be generated by simply filtering the super-continuum spectrum and performing photoelectric conversion, and in comparison with the previous solutions, the solution of the present invention is simpler and can be easily implemented.

Abstract: An adaptive cruise control system and an adaptive cruise control method supporting traffic light recognition are provided. The adaptive cruise control system in the present disclosure includes: a wireless receiver adaptive with a wireless transmitter of each traffic light on a current lane and configured to receive first traffic light state information about the traffic light on the current lane sent by the wireless transmitter; and a main controller being in communication with the wireless receiver and configured to obtain the first traffic light state information received from the wireless receiver, and perform a stop control or adaptive cruise control based on the first traffic light state information. By implementing the adaptive cruise control method, an adaptive cruise control for avoiding a driver from violation of traffic light is further realized based on the state information of the traffic lights, so that a safety of driving can be improved.

Abstract: A data encoding method includes obtaining an attribute residual of a current point cloud point, binarizing the attribute residual to obtain a binary code of the current point cloud point that includes a first binary code indicating a first flag bit and a second binary code indicating a second flag bit, selecting a first context model from a context model list according to a first condition, selecting a second context model from the context model list according to a second condition, encoding the first binary code using the first context model, and encoding the second binary code using the second context model. The first condition and the second condition are different for the first context model and the second context model corresponding to a same index in the context model list.

Abstract: Disclosed by the present invention is an ultra-wideband white noise source based on a slicing super-continuum spectrum. The entropy source used is a super-continuum spectrum photon entropy source having a coverage range of several hundreds of nm, white noise can thus be generated in a wide frequency range, thereby effectively avoiding the bandwidth bottleneck of an electronic device. By separately adjusting the filter centers of two optical filters, the center frequency for generating the white noise can be adjusted so as to get adapted to different working situations. High bandwidth white noise can be generated by simply filtering the super-continuum spectrum and performing photoelectric conversion, and in comparison with the previous solutions, the solution of the present invention is simpler and can be easily implemented.

Abstract: A data encoding method includes determining a value of a syntax element of point cloud data of a point cloud. The point cloud data includes attribute values of the point cloud and the syntax element indicates a search range of the attribute values during prediction encoding. The method further includes performing prediction processing on the attribute values according to the search range to obtain residuals of the attribute values, and encoding the residuals and a difference between the value of the syntax element and a constant value to generate code stream data. The constant value is a positive number.

Abstract: A processing method includes encoding or decoding an N-th layer of a multi-tree using a breadth-first mode. The multi-tree is used for position division on a point cloud. The method further includes, in response to a number or a distribution of all point cloud points in a target node of the N-th layer meeting a preset condition, encoding or decoding the point cloud points in the target node using a depth-first mode to obtain a code stream of the target node. The code stream of the target node includes an identifier and indexes of nodes where the point cloud points of the target node are located at various layers of the multi-tree. The identifier indicates to switch from the breadth-first mode to the depth-first mode to encode or decode sub-nodes of the target node. N is an integer greater than or equal to 1.