Abstract: A closed-loop detecting method using an inverted index-based key frame selection strategy, storage media and apparatus are provided. The method includes following steps: step I: acquiring image information at a current position, processing the image information to extract corresponding image features therefrom and solve a camera pose; step II: capturing image features successively during movement of a robot, as consecutive image frames, performing, on the consecutive image frames, an indexing, in which the inverted index-based key frame selection strategy is introduced into a key frame selection strategy to supplement key frames which are prone to be missed in a conventional forward indexing during a curvilinear movement of the robot; and step III: performing closed-loop detection and correction of accumulative errors based on image features carried by key frames.

Abstract: This invention relates to a robust optimal design method for photovoltaic cells. Firstly, the deterministic optimal model is established, which is solved by Monte Carlo method to obtain the maximum output power value of optimization objective and its corresponding design variable value, and then the design variable value obtained from deterministic optimization is deemed as the initial point of the mean value of the robust optimal design variable. Later, the robust optimal model is solved by Monte Carlo method in order to obtain the mean value of design variable, and then appropriate materials and manufacturing techniques are selected for corresponding photovoltaic components according to the design variable obtained, so as to achieve the robust optimal design of photovoltaic cells. In fact, this invention improves the output stability and reliability of photovoltaic cells.

Abstract: A method and an apparatus for sending key-value pair data are provided, and a method and an apparatus for collecting key-value pair data are provided. In the method, first target key-value pair data is perturbed as first perturbed key-value pair data, so that a data collector can determine, based on a value a or b of a first value in the first perturbed key-value pair data, whether to include the entire first perturbed key-value pair data into the statistical result in a process of generating the statistical result. In this way, an association between a value and a key in the key-value pair data is reserved in the first perturbed key-value pair data, which improves availability of the first perturbed key-value pair data. That is, a statistical result generated by the data collector based on the first perturbed key-value pair data is closer to a statistical result generated based on original user key-value pair data.

Abstract: A high-performance thin-film composite polyamide membrane upcycled from a substrate fouled with a biopolymer and a preparation method thereof are provided. The method includes fouling the substrate preferably with the biopolymer to obtain a composite of the substrate and a biopolymer foulant layer; then immersing the composite into a first solution formed by dissolving a polyamine monomer in water, followed by taking the composite out of the first solution and removing excess droplets from a surface of the composite; then immersing the composite treated in the previous step into a second solution formed by dissolving an acyl chloride monomer in n-hexane for interfacial polymerization to form a rejection layer on the surface of the composite; and after completion of the reaction, taking the composite out of the second solution, followed by drying and heat treatment, to obtain the target polyamide membrane.

Abstract: The present invention relates to a quick quantitative analysis method and analyzer for mixture concentration information. A quick quantitative analysis method for a mixture based on spectral information includes: collecting a sample of a mixture solution, and injecting into a DAD to obtain DAD data; then, calculating a spectral library by a quick qualitative analysis method based on a vector error algorithm to obtain a spectral error vector; determining a spectral curve of a component included in the data corresponding to the sample, according to a value of the error vector; and calculating a content flag value of each component in the sample and concentration information of each substance.

Abstract: A binaural beamformer comprising two beamforming filters may be communicatively coupled to a microphone array to generates two beamforming outputs, one for the left ear and the other for the right ear. The beamforming filters may be configured in such a way that they are orthogonal to each other to make white noise components in the binaural outputs substantially uncorrelated and desired signal components in the binaural outputs highly correlated. As a result, the human auditory system may better separate the desired signal from white noise and intelligibility of the desired signal may be improved.

Abstract: An Nth order linear differential microphone array (LDMA) with a steerable beamformer may be constructed by specifying a target beampattern for the LDMA at a steering angle ?. An Nth order polynomial associated with the target beampattern may then be generated. A relationship between the nulls of the polynomial and the steering angle ? is determined and then a value of one of the nulls is determined based on N?1 assigned values for the other nulls and the determined relationship between the nulls of the polynomial and the steering angle ?. The steerable beamformer may be generated based on the determined null value and the N?1 assigned null values. The N?1 assigned null values may be associated with the N?1 nulls of the polynomial that are of less than Nth order and the determined null value may be associated with the null of the polynomial that is of Nth order.

Abstract: The present disclosure describes a system, method and software applications for predicting the KAM of a subject for a plurality of gait cycles of a subject. At least one sensor attachable adjacent to the ankle of at least one leg of the subject provides accelerometer and gyroscopic data for the plurality of gait cycles. A processing means receives subject parameters and accelerometer and gyroscopic data from the at least one sensor for evaluation by a neural network of predicted KAM values for the plurality of gait cycles of the subject. The neural network is configured via determining KAM values for each of the plurality of subjects from measurements during a plurality of gait cycles and other parameters.

Abstract: This invention relates to compounds of formula 1, 2 or 3 a pharmaceutically acceptable salt, or solvate thereof, wherein X1, Y, R1, R2, R3, R4, and R5 are as defined herein. The compounds are antimicrobial agents that may be used to treat various bacterial and protozoal infections and disorders related to such infections. The invention also relates to pharmaceutical compositions containing the compounds and to methods of treating bacterial and protozoal infections by administering the compounds of formula 1, 2 or 3.

Abstract: A machine learning method predicts whether a specified subject is at high risk of developing cognitive impairment based upon a data record for said specified subject, and a method of training a dual neural network for such. These methods may work by automatically classifying said subject into a first class associated with a first predicted risk of cognitive impairment or a second class associated with a second predicted risk of cognitive impairment. Subject records are obtained comprising a first set of measured data and a second set of data including results for two or more health assessment questionnaires; and a label indicating that the subject belongs to the first class or second class. These records are used to train first and second neural networks, and in the latter method these trained networks are able to predict whether a specified subject should belong to said first class or second class.

Abstract: An Nth order linear differential microphone array (LDMA) with a steerable beamformer may be constructed by specifying a target beampattern for the LDMA at a steering angle ?. An Nth order polynomial associated with the target beampattern may then be generated. A relationship between the nulls of the polynomial and the steering angle ? is determined and then a value of one of the nulls is determined based on N?1 assigned values for the other nulls and the determined relationship between the nulls of the polynomial and the steering angle ?. The steerable beamformer may be generated based on the determined null value and the N?1 assigned null values. The N?1 assigned null values may be associated with the N?1 nulls of the polynomial that are of less than Nth order and the determined null value may be associated with the null of the polynomial that is of Nth order.

Abstract: A binaural beamformer comprising two beamforming filters may be communicatively coupled to a microphone array to generates two beamforming outputs, one for the left ear and the other for the right ear. The beamforming filters may be configured in such a way that they are orthogonal to each other to make white noise components in the binaural outputs substantially uncorrelated and desired signal components in the binaural outputs highly correlated. As a result, the human auditory system may better separate the desired signal from white noise and intelligibility of the desired signal may be improved.

Abstract: This disclosure provides a biodegradable antimicrobial material based on polylactic acid oligomer represented by formula 1 as an active ingredient. The disclosure also provides a process for preparing the polylactic acid oligomer and an antimicrobial product prepared therefrom.

Abstract: The present disclosure provides a side chain liquid crystal epoxy monomer (S-LCEM) and a preparation method thereof, and a side chain liquid crystal epoxy resin (S-LCER) with high intrinsic thermal conductivity, and belongs to the technical field of epoxy resin materials. There are biphenyl mesogenic groups with strong rigidity in a molecular structure of the S-LCEM provided in the present disclosure and there are also flexible connections among chain segments, which promotes the ordered arrangement of S-LCEM molecular chains during a curing process. The highly-ordered arrangement of such mesogenic units is conducive to the formation of a local crystalloid structure, so that a heat flow is transferred along a direction of the ordered molecular chain, which effectively inhibits the scattering of phonons in the S-LCER with high intrinsic thermal conductivity and greatly improves the intrinsic thermal conductivity of the S-LCER with high intrinsic thermal conductivity.

Abstract: The present disclosure relates to a method and system for determining transportation safety of pulverized coal. The method includes: acquiring coal particle data during transportation of pulverized coal, where the coal particle data is size data of a coal particle accumulation; determining a particle model of the coal particle accumulation during the transportation of the pulverized coal according to the size data; establishing a constitutive theoretical model to describe all flow regimes of a coal granular medium; numerically discretizing the constitutive theoretical model by using a numerical method to obtain discrete equations; calculating a movement process of the coal granular medium according to the discrete equations and the particle model of the coal granular medium to obtain a calculation result; plotting the calculation result by using post-processing software Tecplot to obtain relevant information of a coal particle flow; and determining whether the pulverized coal transportation process is safe.

Abstract: The present disclosure relates to a method for preparing a self-cleaning anti-icing coating based on brushlike organosilicon. In this method, a brushlike organosilicon-modified polyurethane coating is prepared by subjecting a thiolactone, a diamine compound and monovinyl-terminated polydimethylsiloxane to a simple multi-component click reaction to obtain a dihydroxy-terminated block, and introducing the dihydroxy-terminated block into a polyurethane matrix.

Abstract: A beamformer, for a differential microphone array (DMA) including a number M of microphones, is constructed based on a specified target directivity factor (DF) value for the DMA. An N order beampattern is generated for the DMA, wherein N is an integer and a first DF value corresponding to the N order beampattern is greater than the target DF value. An N?1 order beampattern is generated for the DMA, wherein a second DF value corresponding to the N?1 order beampattern is greater than the target DF value. A fractional order beampattern is generated for the DMA, wherein a third DF value corresponding to the fractional order beampattern matches the target DF value and the fractional order beampattern comprises a first fractional contribution from the N order beampattern and a second fractional contribution from the N?1 order beampattern.

Abstract: The present disclosure relates to a surface comprising a photocatalyst affixed thereupon via an adhesive layer and methods for affixing the photocatalyst to the surface via the adhesive layer. The present disclosure also provides a purifier comprising the photocatalyst affixed surface and a purifier system comprising such purifier.

Abstract: Aspects of the present application relate to techniques of diagnosing whether a pathogen (e.g., SARS-CoV-2) is present in a subject using infrared (IR) spectroscopy and machine learning techniques. The techniques use spectral data obtained from performing IR spectroscopy on a biological sample (e.g., saliva or nasal sample, or genetic material extracted therefrom) to generate a set of feature values. The feature values are provided as input to a machine learning model to obtain output indicating whether the pathogen is present in the biological sample. The output of the machine learning model may be used to determine a diagnosis result for a subject.

Abstract: Aspects of the present application relate to techniques of diagnosing whether a pathogen (e.g., SARS-CoV-2) is present in a subject using infrared (IR) spectroscopy and machine learning techniques. The techniques use spectral data obtained from performing IR spectroscopy on a biological sample (e.g., saliva or nasal sample, or genetic material extracted therefrom) to generate a set of feature values. The feature values are provided as input to a machine learning model to obtain output indicating whether the pathogen is present in the biological sample. The output of the machine learning model may be used to determine a diagnosis result for a subject.