5,226 research outputs found

    Dynamic Interrelation of Births and Deaths: Evidence from Plant Level Data

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    In this paper, the dynamic panel data method is used to investigate the dynamic interrelation of plant births and plant deaths. The dynamic panel data method considers the endogenous problem and individual effects. Empirical findings support the multiplier effect. In addition, exit does not cause entry, whereas entry causes exit.

    Diagnosis and Treatment of Comorbidities of Tourette's Syndrome and Bipolar Disorder in A 10-Year-Old Boy

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    Changes in moods are one of the comorbid psychiatric manifestations that frequently occur in patients with Tourette's syndrome. The assessment of a manic episode in children with Tourette's syndrome is challenging. Furthermore, the treatment of children with comorbid mania and Tourette's syndrome has not been extensively studied. We present a 10-year-old boy who suffered from both Tourette's syndrome and mania, whose symptoms improved after using lithium and risperidone. The child was diagnosed with Tourette's syndrome at 7 years of age when he suffered from tics and experienced his first manic episode. He received monotherapy, including haloperidol, risperidone and aripiprazole, and the response was poor. When the combination of lithium and risperidone was used, the tics and mania subsided. It is important to assess individuals with Tourette's syndrome for associated bipolar disorder. The treatment of children with both disorders is a major clinical issue, and our case may serve as an example for successful treatment strategies

    Emergence, Evolution and Scaling of Online Social Networks

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    This work was partially supported by AFOSR under Grant No. FA9550-10-1-0083, NSF under Grant No. CDI-1026710, NSF of China under Grants Nos. 61473060 and 11275003, and NBRPC under Grant No. 2010CB731403. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Peer reviewedPublisher PD

    Replication Attack Detection in Mobile Wireless Sensor Network with LEACH-ME Routing Protocol

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    Because the Wireless Sensor Network (WSN) nodes are low-cost devices, attackers may capture some nodes in this network and then duplicate these nodes to eavesdrop the transmitted messages or even control the network gradually without difficulty. This is the so-called node replication attack. This type of attacks could cause the huge threat to information security of WSNs. Therefore, in this paper, we would like to suggest a detection approach which can offer good performance but with higher energy consumption. Hence, it can provide an alternative solution for some specific applications that need better precision but do not care energy or lifespan too much
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