Abstract: A method for reducing odor in remediation of pesticide chemical contaminated soil comprises preparing odor control sustained-release particles and evenly covering on the surface of the pesticide chemical contaminated soil according to a certain dosage; preparing odor covering base materials and mixed bacterial solution, and preparing the odor covering soil by mixing the odor covering base materials and mixed bacterial solution in proportion, and then covering the odor covering soil on the surface of the pesticide chemical contaminated soil; and inserting heating rods into the pesticide chemical contaminated soil, and heating the surface layer of the pesticide chemical contaminated soil to 30-40° C.

Abstract: A precoding weight calculation method and a related apparatus to provide improved communication quality. First channel estimation values and a plurality of second channel estimation values are obtained based on a resource block group. A first equalization coefficient is obtained based on the first channel estimation values. A second equalization coefficient is obtained based on the second channel estimation values. A plurality of first equivalent channel coefficients are obtained based on the first equalization coefficient. A plurality of second equivalent channel coefficients are obtained based on the second equalization coefficient. A first precoding weight and a second precoding weight are obtained based on the plurality of first equivalent channel coefficients and the plurality of second equivalent channel coefficients.

Abstract: Flow battery systems are provided, including flowing a liquid electrolyte from a storage tank of a flow battery system to an electrode chamber of the flow battery system, the liquid electrolyte comprising a solvent and a first active ion dissolved in the solvent, wherein the storage tank comprises the liquid electrolyte and a first solid composed of the active ion and an ion of the solvent; inducing an electrochemical reaction in the electrode chamber to convert the first active ion dissolved in the solvent to a second active ion dissolved in the solvent, wherein the first solid dissolves to provide more of the first active ion dissolved in the solvent; flowing the liquid electrolyte comprising the solvent and the second active ion dissolved in the solvent from the electrode chamber back to the storage tank; and precipitating a second solid composed of the second active ion and the ion of the solvent in the storage tank.

Abstract: A transaction platform for image and short video copyright based on blockchain, including: a back-end server, for receiving an authentication service request; a label generation module, for generating an image or short video label; an extraction module, for crawling images or short videos from the network platform according to the image or short video label; and an audit module, for comparing the to-be-authenticated image or short video with the images or short videos from the network platform, where if the to-be-authenticated image or short video is inconsistent with the images or short videos from the network platform, audit is passed; and if the to-be-authenticated image or short video is consistent with one of the images or short videos from the network platform, the audit fails. A transaction method for image and short video copyright based on blockchain is further provided.

Abstract: A data flow-based neural network multi-engine synchronous calculation system, include: a plurality of calculation engines each including a plurality of calculation modules and at least one cache module located at different layers, and each calculation module is configured to calculate an input calculation graph provided by the cache module or the calculation module of a previous layer of a layer where each calculation module is located, so as to obtain an output calculation graph; and at least one synchronization module each being configured to monitor the data amount of the input calculation graph stored by the cache module on the same layer in each calculation engine, and control, when the data amount reaches a preset value corresponding to each cache module, each cache module on the same layer to output the stored input calculation graph to the calculation module on a next layer.

Abstract: An information-processing device includes a first feature-value information acquiring unit for acquiring an acoustic feature-value vector and a language feature-value vector extracted from a user's spoken voice. The information-processing device includes a second feature-value information acquiring unit for acquiring an image feature-value vector extracted from the user's facial image. The information-processing device includes an emotion estimating unit including a learned model including: a first attention layer using, as inputs, a first vector generated from the acoustic feature-value vector and a second vector generated from the image feature-value vector; and a second attention layer using, as an input, an output vector from the first attention layer and a third vector generated from the language feature-value vector, wherein the emotion estimating unit is for estimating the user's emotion based on the output vector from the second attention layer.

Abstract: An embodiment of the present application discloses a neural network accelerator, including: a convolution calculation module, which is used to perform a convolution operation on an input data input into a preset neural network to obtain a first output data; a tail calculation module, which is used to perform a calculation on the first output data to obtain a second output data; a storage module, which is used to cache the input data and the second output data; and a first control module, which is used to transmit the first output data to the tail calculation module. The convolution calculation module includes a plurality of convolution calculation units, the tail calculation module includes a plurality of tail calculation units, the first control module includes a plurality of first control units, and at least two convolution calculation units are connected to one tail calculation unit through one first control unit.

Abstract: An acceleration system includes: a direct memory accessor configured to store a computation graph, a first data stream lake buffer and a second data stream lake buffer, the first data stream lake buffer being configured to cache the computation graph; an arithmetic unit configured to obtain an i-th layer of computing nodes of the computation graph to obtain an (i+1)-th layer of computing nodes; and the first fan-out device configured to replicate the (i+1)-th layer of computing nodes and store the same in the direct memory accessor and the second data stream lake buffer, respectively. The arithmetic unit extracts the (i+1)-th layer of computing nodes from the second data stream lake buffer to obtain a (i+2)-th layer of computing nodes, and the above steps are repeated until the n layer of computing nodes is obtained, where 1?i?n-3, n?4, i is a positive integer, and n is a positive integer.

Abstract: Provided are a neural network acceleration circuit and method. The neural network acceleration circuit includes a data storage module a data cache module, a computing module, and a delay processing module. The data storage module is configured to store input data required for a neural network computation. The data cache module is configured to cache input data output by the data storage module and required for the neural network computation. The computing module includes multiple computing units configured to compute input data output by the data cache module and required for the neural network computation so that multiple groups of output data are obtained. The delay processing module is configured to perform delay processing on the multiple groups of output data separately and output the multiple groups of output data subjected to the delay processing at the same time.

Abstract: An information processing apparatus includes a memory storing instructions. The instructions cause the apparatus to extract a plurality of local features from data indicating a speech, the characteristics of feature extraction being formed through learning; and to encode a series of chronological features of the data based on the plurality of local features, characteristics of encoding the series of chronological features being formed through learning. The instructions also cause the apparatus to generate information obtained by weighting features at a specific point in time associated with emotion classification, of the series of chronological features encoded, characteristics of weighting the features at the specific point in time being formed through learning; and to classify emotion corresponding to the data using the information obtained by weighting the features at the specific point in time, characteristics of classification being formed through learning.

Abstract: A feeling estimation device includes: a first acquirer configured to acquire sound data of an utterance of a user; a second acquirer configured to acquire text data obtained by converting the sound data acquired by the first acquirer into text; a first estimator configured to merge an index value based on the sound data acquired by the first acquirer and an index value based on the text data acquired by the second acquirer via first fusion and estimate a feeling of the user on the basis of the merged index value; and a second estimator configured to merge an index value indicating a result of the estimation performed by the first estimator and the index value based on the text data acquired by the second acquirer via second fusion and estimate a feeling of the user on the basis of the merged index value.

Abstract: An information-processing device includes a first feature-value information acquiring unit for acquiring an acoustic feature-value vector and a language feature-value vector extracted from a user's spoken voice. The information-processing device includes a second feature-value information acquiring unit for acquiring an image feature-value vector extracted from the user's facial image. The information-processing device includes an emotion estimating unit including a learned model including: a first attention layer using, as inputs, a first vector generated from the acoustic feature-value vector and a second vector generated from the image feature-value vector; and a second attention layer using, as an input, an output vector from the first attention layer and a third vector generated from the language feature-value vector, wherein the emotion estimating unit is for estimating the user's emotion based on the output vector from the second attention layer.

Abstract: The disclosure relates to a low toxic tripterygium neoglycosides, which is obtained by chemically processing tripterygium glycosides and adding triptriolide. The disclosure also discloses the application of the low toxic tripterygium neoglycosides. The tripterygium neoglycosides can effectively relieve renal pathological injury and urinary protein of nephrotic syndrome, attenuate the inflammatory level of the body, have obvious treatment effect on nephrotic syndrome, and have low toxicity and persistent effect.

Abstract: An information processing apparatus includes a memory storing instructions. The instructions cause the apparatus to extract a plurality of local features from data indicating a speech, the characteristics of feature extraction being formed through learning; and to encode a series of chronological features of the data based on the plurality of local features, characteristics of encoding the series of chronological features being formed through teaming. The instructions also cause the apparatus to generate information obtained by weighting features at a specific point in time associated with emotion classification, of the series of chronological features encoded, characteristics of weighting the features at the specific point in time being formed through learning; and to classify emotion corresponding to the data using the information obtained by weighting the features at the specific point in time, characteristics of classification being formed through learning.

Abstract: A feeling estimation device includes: a first acquirer configured to acquire sound data of an utterance of a user; a second acquirer configured to acquire text data obtained by converting the sound data acquired by the first acquirer into text; a first estimator configured to merge an index value based on the sound data acquired by the first acquirer and an index value based on the text data acquired by the second acquirer via first fusion and estimate a feeling of the user on the basis of the merged index value; and a second estimator configured to merge an index value indicating a result of the estimation performed by the first estimator and the index value based on the text data acquired by the second acquirer via second fusion and estimate a feeling of the user on the basis of the merged index value.

Abstract: The disclosure relates to a low toxic tripterygium neoglycosides, which is obtained by chemically processing tripterygium glycosides and adding triptriolide. The disclosure also discloses the application of the low toxic tripterygium neoglycosides. The tripterygium neoglycosides can effectively relieve renal pathological injury and urinary protein of nephrotic syndrome, attenuate the inflammatory level of the body, have obvious treatment effect on nephrotic syndrome, and have low toxicity and persistent effect.

Abstract: Triptolide derivatives of Formula (I), their pharmaceutically acceptable salts and optical isomers, Formula (I): wherein, C5 and C6 are connect with each other by a C-C single bond or double bond; when C5 and C6 are connected with C-C single bond, X and Y represent independently hydrogen, oxygen, hydroxyl, halogen, lower alkyl-oxy, lower alkyl-amino, mercapto, lower alkyl-thio, the group of formula —OCOR, —OSO2OR or —OPO(OH)2, each of which is attached to C5 and C6, R represents —(CH2)nCO2Na, —(CO2)nCO2K, or —(CH2)nCH3, wherein n=1-6; Z represents hydrogen, oxygen, hydroxyl, halogen, lower alkyl-oxy, lower alkyl-amino, mercapto, lower alkyl-thio, the group of formula -OCOR, -OSO2OR or —OPO(OH)2, each of which is linked at C14-position, R represents —(CH2)nCO2Na, —(CO2)nCO2K, or —(CH2)nCH2, wherein n=1-6; wherein, the“______” linked with X, Y, and Z represents the stereochemistry orientations “” or “” , but X and Y cannot both be hydrogen atom at the same time, methods for preparing the triptolides and the

Abstract: The invention relates to triptolide derivatives of Formula (I), their pharmaceutically acceptable salts and optical isomers, Formula (I): wherein, C5 and C6 connect with each other by a C—C single bond or double bond; when C5 and C6 are connected with C—C single bond, X and Y represents independently hydrogen, oxygen, hydroxyl, halogen, lower alkyl-oxy, lower alkyl-amino, mercapto, lower alkyl-thio, the group of formula —OCOR, —OSO2R or —OPO(OH)2, each of which is attached to C5 and C6, R represents —(CH2)nCO2Na, —(CO2)nCO2K, or —(CH2)nCH3, wherein n=1-6; Z represents hydrogen, oxygen, hydroxyl, halogen, lower alkyl-oxy, lower alkyl-amino, mercapto, lower alkyl-thio, the group of formula —OCOR, —OSO2R or —OPO(OH)2, each of which is linked at C14-position, R represents —(CH2)nCO2Na, —(CO2)nCO2K, or —(CH2)nCH2, wherein n=1-6; wherein, the “_” linked with X, Y, and Z represents “” or “”, but X and Y cannot both be hydrogen atom at the same time, the methods for preparing them and their use as antiphlogistic