The Application Research of OLAP in Police Intelligence Decision System

AbstractAiming at the large amounts of data collected by the public security organs, the technologies of data warehouse and OLAP are used to realize the police intelligence decision system based on SQL Server 2008 platform. The multidimensional analysis results reveal some potential regularity between criminal's action and the cases, so as to help the policemen make correct judgments

Clustering Mixed Data by Fast Search and Find of Density Peaks

Aiming at the mixed data composed of numerical and categorical attributes, a new unified dissimilarity metric is proposed, and based on that a new clustering algorithm is also proposed. The experiment result shows that this new method of clustering mixed data by fast search and find of density peaks is feasible and effective on the UCI datasets

Subpathway Analysis based on Signaling-Pathway Impact Analysis of Signaling Pathway

<div><p>Pathway analysis is a common approach to gain insight from biological experiments. Signaling-pathway impact analysis (SPIA) is one such method and combines both the classical enrichment analysis and the actual perturbation on a given pathway. Because this method focuses on a single pathway, its resolution generally is not very high because the differentially expressed genes may be enriched in a local region of the pathway. In the present work, to identify cancer-related pathways, we incorporated a recent subpathway analysis method into the SPIA method to form the “sub-SPIA method.” The original subpathway analysis uses the k-clique structure to define a subpathway. However, it is not sufficiently flexible to capture subpathways with complex structure and usually results in many overlapping subpathways. We therefore propose using the minimal-spanning-tree structure to find a subpathway. We apply this approach to colorectal cancer and lung cancer datasets, and our results show that sub-SPIA can identify many significant pathways associated with each specific cancer that other methods miss. Based on the entire pathway network in the Kyoto Encyclopedia of Genes and Genomes, we find that the pathways identified by sub-SPIA not only have the largest average degree, but also are more closely connected than those identified by other methods. This result suggests that the abnormality signal propagating through them might be responsible for the specific cancer or disease.</p></div

Significantly enriched pathways identified by sub-SPIA and SPIA from the CRC dataset.

<p>Significantly enriched pathways identified by sub-SPIA and SPIA from the CRC dataset.</p

Significantly enriched pathways identified by sub-SPIA and SPIA from lung cancer dataset.

<p>Significantly enriched pathways identified by sub-SPIA and SPIA from lung cancer dataset.</p

The topological characteristics of the significantly enriched pathways identified by five methods.

<p>* Deg-Average Degree, Clu-Average Clustering coefficient, Bet-Average Betwenness. Number in the parentheses after Deg is the degree of the pathway in the whole pathway network. NA means there was no significant subpathways were found.</p><p>The topological characteristics of the significantly enriched pathways identified by five methods.</p

Subpathways in the Wnt signaling pathway identified by Sub-SPIA on CRC dataset.

<p>(A) The insulin-signal pathway with DEGs highlighted. (B) Gene network obtained by graphite package. (C) Sub Gene network corresponding to the MST for Minimal-spanning tree for <i>n_s</i> = 4. (D) Sub Gene networks corresponding to the MST for Minimal-spanning tree for <i>n_s</i> = 2. Red indicates an up-regulated gene and blue indicates a down-regulated gene. Reprinted from <a href="http://www.kegg.jp/kegg/kegg1.html" target="_blank">http://www.kegg.jp/kegg/kegg1.html</a> under a CC BY license, with permission from Miwako Karikomi, original copyright 2013.</p

Pathway network in KEGG.

<p>(A) The connection between Pathways. The core nodes represent pathways connected with more than 20 other pathways. (B) The degree distribution of pathways in (A).</p

Spin-polarized charge trapping cell based on a topological insulator quantum dot

We demonstrate theoretically that a topological insulator quantum dot can be formed via double topological insulator constrictions (TICs), and can be used as a charge and/or spin carrier trap memory element.</p