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519results about How to "Short steps" patented technology

Prediction device and prediction method for state of emergency topic

The invention relates to a prediction device and a prediction method for the state of an emergency topic. The prediction device and the prediction method are provided based on the research of a microblog topic production mechanism and the influence of opinion leaders of emergency on the state of the emergency topic. The prediction device is provided with four components of a text acquisition unit, a topic clustering unit, a topic state recognition unit and a topic state prediction unit, and the topic state is predicted through the participation state of the opinion leaders, so that the prediction method of the topic state is simplified, the prediction accuracy is higher, and a basis can be provided for monitoring the tendency of the emergency topic. Through the calculation method of topic attention provided by the invention, the computation complexity of a traditional topic attention method is reduced. Moreover, the numerical value prediction of the topic attention is replaced by adopting the prediction of the state of the topic, so that the prediction content is more reasonable, and the prediction accuracy is higher. Furthermore, a prediction method of a hidden Markov model is provided, the set of the opinion leaders and the model of topic prediction are constructed through incremental iteration, so that the prediction operation can be obviously simplified, and the prediction efficiency is improved.
Owner:BEIJING UNIV OF POSTS & TELECOMM

Method for purifying human immunoglobulin from separated component I+III of blood plasma

The invention relates to a method for separating and purifying human immunoglobulin from a component I+III of blood plasma, and aims to provide a high-efficiency method for recovering high-purity human immunoglobulin. According to the technical scheme provided by the invention, the method comprises the following steps of: a, fully dissolving component I+III precipitate; b, precipitating with octylic acid and removing lipid and a part of impurity protein to prepare IgG (Immunoglobulin G); c, purifying through anion exchange column chromatography; and d, collecting flow-through liquid, performing membrane nanofiltration, ultrafiltration and concentration, preparing the human immunoglobulin, sterilizing and packaging. The method has the beneficial effects of capability of being operated at the room temperature, simple and short steps, high yield, low energy consumption and high output and is suitable for mass production; comprehensive utilization of the blood plasma is fully realized; the time of the entire production process is shortened; the cost is reduced; extremely considerable economic benefit can be produced; the safety of a product is guaranteed by using two virus inactivation/elimination methods of different mechanisms; the environmental pollution is avoided; and the method has high economic and social values.
Owner:SHANDONG TAIBANG BIOLOGICAL PROD CO LTD

Leaf surface dust fall quantity testing method based on hyperspectral technique

The invention relates to a leaf surface dust fall quantity testing method based on a hyperspectral technique. The method comprises the following steps: firstly, collecting healthy leaves with different leaf surface dust fall quantities, quickly testing spectral information of a single leaf, putting the leaf subjected to the spectral information testing into a room, acquiring leaf surface dust fall quantity data of the leaf by virtue of a leaf area instrument and an electronic scale, and determining a sensitive spectral band subjected to leaf surface dust fall by analyzing the correlation between hyperspectral information and the leaf surface dust fall quantity data; and carrying out modeling by virtue of the data of the sensitive spectral band subjected to the leaf surface dust fall, selecting a model with a minimal root-mean-square error and maximal errors between a determination coefficient and a predicted root-mean-square error and between a sample standard deviation and the predicted root-mean-square error, and predicting the leaf surface dust fall quantity of the model only by virtue of the hyperspectral information of the leaf. Compared with a traditional determination method, the leaf surface dust fall quantity testing method has the beneficial effects of reducing the tedious experimental steps of indoor leaf area testing, cleaning, weighing and the like, being simple, convenient and rapid, and meanwhile, providing references for monitoring of the sand storm strength and environment quality of a dust fall region by virtue of astronautic hyperspectral remote sensing.
Owner:TARIM UNIV
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