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Research on Query Gain Routing Algorithms and Load Balancing Mechanism in Wireless Sensor Networks
Jiang Hui-Lin,Qiao Li,Fu Yi-De 보안공학연구지원센터 2015 International Journal of Future Generation Communi Vol.8 No.2
It is necessary to reduce the consumption of network node energy and the network load for solving the query design for routing algorithm in wireless sensor network, thus this article presents query gain routing algorithms and load balancing mechanism. This algorithm selects routing node by querying the routing information of gain matrix according to the successful record of historical query. The load balancing mechanism queries the energy information, which records node in the routing process and transfers load to balance the energy consumption of each node in the query path. This algorithm is able to effectively aware routing load to reduce the network energy consumption and avoid the data collision. The experimental result shows that compared with other query routing strategy, the query gain routing can increase the success rate of query under the condition of reducing the node energy consumption, but the load balancing mechanism can reduce the energy consumption of query gain routing further and prolong the network life cycle more effectively.
Risk Factors for Anxiety in Major Depressive Disorder Patients
Li-Min Xin,Lin Chen,Zhen-Peng Ji,Suo-Yuan Zhang,Jun Wang,Yan-Hong Liu,Da-Fang Chen,Fu-De Yang,Gang Wang,Yi-Ru Fang,Zheng Lu,Hai-Chen Yang,Jian Hu,Zhi-Yu Chen,Yi Huang,Jing Sun,Xiao-Ping Wang,Hui-Chun 대한정신약물학회 2015 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.13 No.3
Objective: To analyze the sociodemographic and clinical factors related to anxiety in patients with major depressive disorder (MDD). Methods: This study involved a secondary analysis of data obtained from the Diagnostic Assessment Service for People with Bipolar Disorders in China (DASP), which was initiated by the Chinese Society of Psychiatry (CSP) and conducted from September 1, 2010 to February 28, 2011. Based on the presence or absence of anxiety-related characteristics, 1,178 MDD patients were classified as suffering from anxious depression (n=915) or non-anxious depression (n=263), respectively. Results: Compared with the non-anxious group, the anxious-depression group had an older age at onset (t=−4.39, p<0.001), were older (t=−4.69, p<0.001), reported more lifetime depressive episodes (z=−3.24, p=0.001), were more likely to experience seasonal depressive episodes (χ2=6.896, p=0.009) and depressive episodes following stressful life events (χ2=59.350, p <0.001), and were more likely to have a family history of psychiatric disorders (χ2=6.091, p=0.014). Their positive and total scores on the Mood Disorder Questionnaire (MDQ) and the 32-item Hypomania Checklist (HCL-32) (p<0.05) were also lower. The logistic regression analysis indicated that age (odds ratio [OR]=1.03, p<0.001), a lower total MDQ score (OR=0.94, p=0.011), depressive episodes following stressful life events (OR=3.04, p<0.001), and seasonal depressive episodes (OR=1.75, p=0.039) were significantly associated with anxious depression. Conclusion: These findings indicate that older age, fewer subclinical bipolar features, an increased number of depressive episodes following stressful life events, and seasonal depressive episodes may be risk factors for anxiety-related characteristics in patients with MDD.