4results about How to "Intuitively determined" patented technology

The utility model discloses an automatic cut off reinforced concrete pier head unit, including work table, the upper end of work table is provided with electric slide rail, be provided with electric sliding block on electric slide rail, the upper end fixedly connected with first support of electric sliding block, the upper end of first support is provided with first electric telescopic handle, the output fixedly connected with fixed plate of first electric telescopic handle, one side fixedly connected with connecting rod of fixed plate, and the first support is provided with through -hole, and one end of connecting rod penetrates through through -hole and is connected with laser fixedly, and the upper end fixedly connected with battery and control panel of work table, can be good to the different position of steel bar of this device carries out cutting, avoids needing back and forth movement of steel bar to adjust time -consuming and labor -intensive.

The present application relates to oseltamivir phosphate single crystal and its preparation method. The present application selects specific mixed solvent to slowly evaporate to obtain needle-like crystal, which is the first successful preparation of oseltamivir phosphate single crystal in the world. The oseltamivir phosphate single crystal prepared by the present application has the chemical formula of C 16 H 31 N2O8P, a molecular weight of 410.40, and a crystal structure belonging to orthorhombic system, a space group of P21212, a=23.9002(6)Å, b=24.4812(6)Å, c=7.4191(2)Å, α=90°, β=90°, γ=90°, V=4340.96(19)Å 3 , Z=8. The preparation and determination of the single crystal have important significance and application value for the structure-activity relationship study of oseltamivir phosphate drug and new drug development.

The embodiment of the invention provides a node display method and related equipment. The node display method comprises the following steps: monitoring the number of nodes under each branch in a node graph; if the number of the nodes under the branches exceeds the aggregation number, aggregating the nodes under the branches to form aggregated nodes; and in response to an operation of a user on the node graph, displaying a target node in the aggregated nodes. According to the technical scheme, the number of the nodes under each branch in the node graph is monitored, and when the number of the nodes under one branch exceeds the aggregation number, the nodes under the branch are aggregated to form a large aggregation node, so that the number of the nodes is reduced. And then, after the user operates the node graph, the target node is determined, and the target node is displayed at the downstream of the aggregation node, so that the target node which is not a noisy point is displayed for the user on the basis of reducing the noisy point, the user can more intuitively determine the node which the user needs to use, and the user can conveniently carry out data analysis.

The invention relates to an auxiliary diagnosis data processing method and a middleware interaction platform. The method is applied to a middleware interaction platform and comprises the following steps: in response to a middleware display page viewing request, displaying a middleware display page; the middleware display page comprises a sample list area, a sample information area and a detection result area; the detection result area comprises an auxiliary diagnosis analysis column, and under the condition that at least one target auxiliary diagnosis model is deployed on the middleware interaction platform, the auxiliary diagnosis analysis column comprises tabs of the deployed target auxiliary diagnosis models; and when selection of a detection sample in the sample list area is received, synchronously displaying sample information of the detection sample in the sample information area, and displaying an auxiliary diagnosis result of the deployed target auxiliary diagnosis model on the detection sample on a tab of each target auxiliary diagnosis model. In this way, the middleware display page is displayed in different regions, and the display space of the middleware display page can be fully and reasonably utilized.