48results about How to "Improve experiment results" patented technology

The method discloses a method of cell counting, which comprises the steps: the adherent culture of the cells of an experimental group to be counted and the cells of a criterion group with a known number is carried out on a plane surface; an original culture medium is soaked up, then the cells are washed, after that, glutaraldehyde solution is added for soaking, and the cells are dried in the air after washing by phosphate buffer solution; the fluorescence intensity of samples is detected by iraser; a standard curve is drawn by combing the known number of the cells and the fluorescence intensity so as to obtain a relation formula between the fluorescence intensity I standard and the number of the cells N standard: I standard equals to a multiplied by N standard and then plus b; and according to the standard curve and the fluorescence intensity of the cell samples in the experimental group, the number of the cells in the experimental group is calculated, namely, N experiment equals to (I experiment minus b) / a. The invention reflects the beneficial effects of simplifying experimental procedures, reducing cost, improving experimental precision and result parallelism.

The invention relates to an apparatus and method for precisely detecting Bauschinger effect of repeated bending of a metal plate, the apparatus comprises a mechanics loading module and a plate clamping adjustable module fixed at the bottom of the mechanics loading module; the mechanics loading module is fixed and suspended through a testing machine and is vertically arranged, X-direction regulating blocks are symmetrically arranged at left side and right side along X-direction of the mechanics loading module, the front end and rear end of each X-direction regulating block are respectively fixed on the Y-direction regulating blocks, and is capable of respectively being driven by the Y-direction regulating blocks to horizontally slide on a pedestal along the Y-direction back and forth; the operation is easy and has automation function, force and displacement during a loading process can be measured, the coordinate figure, curvature radius and strain value at random point on both surface of the plate during the loading process can be measured, the error of test data is less, and the flexibility requirement of the Bauschinger effect for the plate can be satisfied, so that accurate calibration basis for determining material parameter of Bauschinger effect for the plate can be provided.

The invention relates to an instrument for sectioning and dyeing a biological sample on an electronic microscope, which belongs to the field of biological sample preparation. The instrument is composed of a locating handle, a water outlet, a groove flap board, a wattle, a built-in coverless box, a top cover, a stable gasket and a groove frame, wherein the groove flap board is arranged in a top groove of the groove frame; the locating handle is arranged on the outer side of the groove frame; the wattle is arranged above the groove flap board; the built-in coverless box is located in the top groove of the groove frame and arranged on one side of the groove flap board; the top cover is covered on the top groove of the groove frame; and the bottom part of the groove frame is provided with the stable gasket. According to the invention, the instrument can perform dyeing on biological sample parity for many times without repeated manual operations; thus, the time difference can be reduced; the generation of pollutant is eliminated; a high-quality experiment result is ensured to obtain; and the instrument can be used for immunohistochemical incubation of a histochemical microscope and preparation of macromolecule sample drop tablets and the like.

The invention discloses a pedestrian attribute recognition system and method based on multi-layer feature learning. The system includes a bottom-up feature extraction module, a top-down feature fusion module, a feature prediction module, a multi-layer prediction fusion module and a test module. , the specific steps of this method are: process the image layer by layer from bottom to top to obtain multi-layer features; fuse the features of adjacent layers from top to bottom, compress the channel of the feature map obtained by the higher layer, and combine it with the upper layer The sampled feature map is subjected to feature fusion and channel dimensionality reduction, and the current layer features are output; the fused features and the extracted uppermost layer features are passed through the maximum pooling layer and the fully connected layer to obtain preliminary prediction results at different levels; The preliminary prediction results are superimposed, and each attribute of each layer of prediction is given a corresponding weight value to obtain the final prediction result; the prediction result corresponding to the picture is extracted, and the results of each index are calculated. The present invention learns a set of specific weights for each attribute based on the predicted value obtained by the fused features, so that each attribute can better use multi-layer features to obtain better recognition effect.

A method for extracting news events of Internet politics and diplomacy disclosed by the present invention aims to provide an extracting method capable of improving the accuracy of event identification. The word set defines event categories, constructs trigger vocabulary and event category templates containing trigger words and event argument roles for each type of event; combines text-dependent syntax to analyze, identify and extract event elements in foreign and political fields. The single-text preprocessing operation is completed, and the category event trigger words are calculated and expanded based on the sememe similarity; the sentence that meets the threshold of similarity is taken as the candidate event sentence. Filter the event elements that satisfy the event category template, and extract the entity elements in the event sentence; then fill the event elements into the corresponding argument roles according to the event template; filter the candidate event elements that meet the category template; generate the event structure according to the event template Description file to build an event library in the field of foreign affairs.

The disclosure discloses an active prediction method and system for abnormal calls based on ranking learning and integrated learning, including: collecting phone samples, selecting features of the phone samples based on analysis and combination; dividing the collected samples into a training set and a test set ;For the training set samples, sorting learning is used to process the data, and the obtained results are used as a new test set, and then n sets of new training sets are formed to continue through the learning model to obtain n sets of results, and then these n sets of results are passed through ensemble learning , output the final test result. The disclosure has beneficial effects: the accuracy rate of predicting abnormal calls using ranking learning and integrated learning is higher than that of single using ranking learning, and the conventional method is more active in predicting abnormal calls than our method, and can solve large-scale data problems.