Abstract: A sampling device and method for evaluating ecological risk of soil in a high geological background area comprises an impact sampling mechanism, a soil layer stripping mechanism and an auxiliary support frame. The impact sampling mechanism comprises a sampling hopper with a downward opening. A connecting sliding rod is fixedly arranged on the top of the sampling hopper. An upper end of the connecting sliding rod is connected with an impact rod. The impact rod is internally provided with an impact hammer capable of reciprocating along an axis of the impact rod. The soil layer stripping mechanism comprises a stripping sliding cylinder in sliding fit with the connecting sliding rod, and a support disc. A plurality of stripping plates are connected to a lower side edge of the support disc in a sliding fit mode.

Abstract: A sampling device and method for evaluating ecological risk of soil in a high geological background area comprises an impact sampling mechanism, a soil layer stripping mechanism and an auxiliary support frame. The impact sampling mechanism comprises a sampling hopper with a downward opening. A connecting sliding rod is fixedly arranged on the top of the sampling hopper. An upper end of the connecting sliding rod is connected with an impact rod. The impact rod is internally provided with an impact hammer capable of reciprocating along an axis of the impact rod. The soil layer stripping mechanism comprises a stripping sliding cylinder in sliding fit with the connecting sliding rod, and a support disc. A plurality of stripping plates are connected to a lower side edge of the support disc in a sliding fit mode.

Abstract: The present disclosure provides use of fructose in preparing a drug for treating a cerebral ischemic stroke, and relates to the technical field of biomedicine. In the present disclosure, an ischemic injury cell model and an ischemic injury animal model are established, and fructose treatment is conducted on the injury models; and it is found that the fructose can regulate energy metabolism and redox metabolism of neurons, and reduce an ischemic injury of model cells and model animals. Specifically, the present disclosure includes: reducing a neuronal mortality after the ischemic injury, reducing an area of cerebral infarction in animals with the ischemic injury, and improving neurobehavioral characteristics of the animals.

Abstract: The present invention discloses a metadata-based diagnosis and management system for cardiovascular and cerebrovascular diseases, which belongs to the field of cardiovascular and cerebrovascular systems and is used to resolve a problem that a rapid diagnosis and a preliminary diagnosis of cardiovascular and cerebrovascular diseases cannot be quickly implemented at community hospitals, clinics, and other places with limited medical facilities. The system includes a physical status monitoring module, a preliminary diagnosis module, an electrocardiogram comparison module, and a model building module.

Abstract: Described is a technology in which an image retrieval system is updated incrementally as new image data becomes available. Updating is incrementally performed and only triggered when the new image data is large enough or diverse enough relative to the image data currently in use for image retrieval. Incremental updating updates the leaf nodes of a vocabulary tree based upon the new image data. Each leaf node's feature frequency is evaluated against upper and/or lower threshold values, to modify the nodes of the tree based on the feature frequency. Upon completion of the incremental updating, a server that performed the incremental updating is switched to an active state with respect to handling client queries for image retrieval, and another server that was actively handling client queries is switched to an inactive state, awaiting a subsequent incremental updating before switching back to active state.

Abstract: A blog-based city landmark discovery framework is described to discover and summarize popular scenes and their representative views from blog photos to provide online personalized tourist suggestions. First, a location extraction algorithm is implemented to infer geographical associations of blog photos from their contextual descriptors, thus providing the ability to harvest city scene photos from web blogs. Second, a visual-textual hierarchical clustering scheme is adopted to organize crawled photos into a scene-view structure, and present a PhotoRank algorithm to discover representative views within each scene by viewing the representative photo selection problem as a popularity ranking problem in a visual correlation environment. Third, author, context and content issues are evaluated in a unified Landmark-HITS model to discover representative scenes as well as build author correlations.

Abstract: Described is a technology in which an image retrieval system is updated incrementally as new image data becomes available. Updating is incrementally performed and only triggered when the new image data is large enough or diverse enough relative to the image data currently in use for image retrieval. Incremental updating updates the leaf nodes of a vocabulary tree based upon the new image data. Each leaf node's feature frequency is evaluated against upper and/or lower threshold values, to modify the nodes of the tree based on the feature frequency.