Abstract: The present application provides a resin carbon anode green body, and a resin carbon anode green body intermediate is obtained by hardening treatment of the resin carbon anode green body, and the resin carbon anode green body intermediate has the following spectral characteristics when tested by gas chromatography-mass spectrometry: there are characteristic peaks at the retention times of 4.95±0.3 min, 5.32±0.3 min, 5.47±0.3 min and 5.92±0.3 min. The present application also provides a method for preparing the resin carbon anode green body. In addition, the present application also provides a resin carbon anode green body intermediate, a resin carbon anode and the corresponding preparation methods and uses.

Abstract: A method of training a deep learning model, a method of processing a natural language, an electronic device, and a storage medium are provided, which relate to a field of artificial intelligence, in particular to deep learning technology and natural language processing technology. The method includes: inputting first sample data into a first deep learning model to obtain a first output result; training the first deep learning model according to the first output result and a first target output result, the first target output result is obtained by processing the first sample data using a reference deep learning model; inputting second sample data into a second deep learning model to obtain a second output result; and training the second deep learning model according to the second output result and a second target output result, to obtain a trained second deep learning model.

Abstract: A DNS evaluation method and apparatus. The method comprises: determining, according to a DNS traffic log, M domain names in a DNS system, and multiple pieces of feature dimension information about each category in pre-set categories corresponding to each of the M domain names, where M is an integer greater than or equal to 1; determining association identification information associated with each of the M domain names, wherein the association identification information comprises an IP address and/or identity information; determining, according to an association relationship between each of the M domain names and the association identification information, or attribute information about each of the M domain names, a cluster score for each category in the pre-set categories of the DNS system; and determining, according to the cluster score for each category in the pre-set categories of the DNS system, the total system score for the DNS system. Thus, the accuracy of DNS evaluation is improved.

Abstract: Disclosed is a hyperspectral data analysis method based on a semi-supervised learning strategy, which includes: hyperspectral sample data is acquired; a sample training set and a prediction set are constructed, herein an unlabeled prediction set sample is used; a regression network based on a generative adversarial network is constructed, including a generator network that generates a sample, and a discriminator/regressor network that has functions of judging the authenticity of the sample and outputting a quantitative analysis value at the same time; a loss function of the generative adversarial network is constructed, including a loss function of the discriminator, a loss function of the regressor, and a loss function of the generator with a sample distribution matching function. The generative adversarial network is used to generate a sample. A sample distribution matching strategy is used to supplement an existing unlabeled sample set. So the accuracy of hyperspectral quantitative analysis is improved.

Abstract: Techniques described in this application are directed to facilitating delivery of an item by analyzing continuous data streams. These data streams may identify potential delivery issues with and respect to user device location information and geographical boundaries. The delivery issues may be resolved proactively.

Abstract: A DNS evaluation method and apparatus. The method comprises: determining, according to a DNS traffic log, M domain names in a DNS system, and multiple pieces of feature dimension information about each category in pre-set categories corresponding to each of the M domain names, where M is an integer greater than or equal to 1; determining association identification information associated with each of the M domain names, wherein the association identification information comprises an IP address and/or identity information; determining, according to an association relationship between each of the M domain names and the association identification information, or attribute information about each of the M domain names, a cluster score for each category in the pre-set categories of the DNS system; and determining, according to the cluster score for each category in the pre-set categories of the DNS system, the total system score for the DNS system. Thus, the accuracy of DNS evaluation is improved.