Comprehensive evaluation of communication network based on network carrying and associating relation

In order to solve the problem of integrated management in different types of networks, a comprehensive evaluation method for a communication network is presented via network carrying and associating relation. Based on the abstract and analysis of network relation, the principle and procedure of the evaluation method are discussed. The method considers the effect of individual di- versity of network running indicator, and reflects the contribution and associating degree of network carrying relation. Experiment results verify that the proposed method is correct and efficient. The re- search provides a new idea for the future network management.

Effective Diagnosis of Lung Cancer via Various Data-Mining Techniques

One of the leading cancers for both genders worldwide is lung cancer.The occurrence of lung cancer has fully augmented since the early 19th century.In this manuscript,we have discussed various data mining techniques that have been employed for cancer diagnosis.Exposure to air pollution has been related to various adverse health effects.This work is subject to analysis of various air pollutants and associated health hazards and intends to evaluate the impact of air pollution caused by lung cancer.We have introduced data mining in lung cancer to air pollution,and our approach includes preprocessing,data mining,testing and evaluation,and knowledge discovery.Initially,we will eradicate the noise and irrelevant data,and following that,we will join the multiple informed sources into a common source.From that source,we will designate the information relevant to our investigation to be regained from that assortment.Following that,we will convert the designated data into a suitable mining process.The patterns are abstracted by utilizing a relational suggestion rule mining process.These patterns have revealed information,and this information is categorized with the help of an Auto Associative Neural Network classification method(AANN).The proposed method is compared with the existing method in various factors.In conclusion,the projected Auto associative neural network and relational suggestion rule mining methods accomplish a high accuracy status.

Association between the related characters of hemispatial neglect and prognosis in stroke patients

OBJECTIVE： To recognize the significances of the classification, evaluation, treatment, pathogenesis, etiological factors and related loci of hemispatial neglect （HSN） in the treatment and prognosis of stroke patients. DATA SOURCES： Articles related to HSN in stroke published in English from January 1985 to December 2002 were searched in Medline database by using the keywords of ＂stroke, hemispatial neglect （HSN）, rehabilitation＂. Chinese relevant professional works and articles were also referred to. STUDY SELECTION： The data were primarily checked. Inclusive criteria： ① articles about the HSN symptoms in stroke; ② articles about the classification, evaluation, treatment, pathogenesis, etiological factors and related loci of HSN, as well as the treatment and prognosis of stroke. The repetitive studies or reviews were excluded. DATA EXTRACTION ： Totally 474 articles related to HSN in stroke were collected, 43 of them were involved and 431 repetitive studies or reviews were excluded. DATA SYNTHESES： HSN can be classified as sensory neglect and motor neglect. Because HSN is caused by the injury of network structure which mediated directed attention, it is generally believed that the inferior parietal Iobule of dominant hemisphere is the most closely correlated with neglect. The main theories related to the pathogenesis of HSN at present include ＂internal instruction＂, ＂directed bradykinesia＂, ＂sensory attention＂, etc. The main clinical manifestations are setover in drawing lines, picture drawing towards one side, imitation towards one side, picture description towards one side, etc., which can be evaluated by the line bisection test, target cancellation test, picture drawing test and pegboard test. The most important thing for the treatment is to make the patients continuously concentrate on the neglected side. CONCLUSION： HSN is an indicator for the bad outcome of cerebrovascular disease, the symptoms take longer time to rehabilitate with slow recovery, but quite a few HSN patients will get good prognosis if timely treatment and proper program are given.

The association of olanzapine-induced metabolic disturbance related measures with TCF7L2 gene expression

Objective To investigate the relationship between olanzapine induced metabolic disturbance related measures and TCF7L2 gene expression.Methods Thirty adult C57BL/61 mice,in accordance with the random number table,were divided into 3 groups that were