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Objectives This study aims to develop valid experimental models for depression through chronic reserpine exposure to zebrafish (Danio rerio). Methods The effect of chronic reserpine on zebrafish behavior in the novel tank was examined. Changes of gene expression on telencephalon were also investigated. Results Chronic reserpine (40 mg/L, 7 days) induced overt behavioral effects, but markedly reduced activity, resembling motor retardation in depression. In telencephalon of zebrafish, gene expression associated with monoamine oxidase and norepinephrine transporter was decreased. Expression of serotonin transporter gene was increased. Conclusions Our results show that the pharmacological model of depression in zebrafish can induce not only behavioral changes, but also monoamine changes in the homology of human mood regulation centers. [ABSTRACT FROM AUTHOR]

Objectives This study aims to develop valid experimental models for depression through chronic reserpine exposure to zebrafish (Danio rerio). Methods The effect of chronic reserpine on zebrafish behavior in the novel tank was examined. Changes of gene expression on telencephalon were also investigated. Results Chronic reserpine (40 mg/L, 7 days) induced overt behavioral effects, but markedly reduced activity, resembling motor retardation in depression. In telencephalon of zebrafish, gene expression associated with monoamine oxidase and norepinephrine transporter was decreased. Expression of serotonin transporter gene was increased. Conclusions Our results show that the pharmacological model of depression in zebrafish can induce not only behavioral changes, but also monoamine changes in the homology of human mood regulation centers. [ABSTRACT FROM AUTHOR]

In early 2018, the National Action Plan for Preventing Suicide was announced by the Ministry of Health and Welfare and related ministries. The Action Plan presents a realistic goal of reducing suicide mortality to two-thirds of the present level, which would make it 1.4 times higher than the Organization for Economic Cooperation and Development average (in contrast to current circumstances, in which it is 2.4 times higher than the Organization for Economic Cooperation and Development average). Several public and private organizations are engaged in various suicide prevention activities. However, it is crucial for a seamless network to be formed, including government organizations, medical institutions, private organizations, and religious organizations. In medical settings, it is imperative that clinicians assess patients' risk of depression or suicide and arrange for a referral service. We need to connect modern social trends with classical mental health treatment modalities by using technologies such as smartphones and the internet. Strategies for research and development and for actual implementation must be established. Suicide prevention requires the active cooperation of not only mental health professionals, but also all physicians and health professionals. Experts in philosophy, sociology, economics, religion, and anthropology must also collaborate to find ways of affirming the importance of human life. [ABSTRACT FROM AUTHOR]

In this paper, we proposed an algorithm that can extract lesion by inputting a medical image. Feature points are extracted using SIFT algorithm to extract genetic training of medical image. To increase the intensity of the feature points, the input image and that raining image are matched using vector similarity and the lesion is extracted. The vector similarity match can quickly lead to lesions. Since the direction vector is generated from the local feature point pair, the direction itself only shows the local feature, but it has the advantage of comparing the similarity between the other vectors existing between the two images and expanding to the global feature. The experimental results show that the lesion matching error rate is 1.02% and the processing speed is improved by about 40% compared to the case of not using the feature point intensity information. [ABSTRACT FROM AUTHOR]

WSN based on wireless sensor nodes, Sensor nodes can not be reassigned and recharged if they once placed. Each sensor node comes into being involved to a communication network with its limited energy. But the existing proposed clustering techniques, being applied to WSN environment with irregular dispersion of sensor nodes, have the network reliability issues which bring about a communication interruption with the local node feature of unbalanced distribution in WSN. Therefore, the communications participation of the sensor nodes in the suggested algorithm is extended by 25% as the sensor field divided in the light of the non-uniformed distribution of sensor nodes and a static or a dynamic clustering algorithm adopted according to its partition of sensor node density in WSN. And the entire network life cycle was extended by 14% to ensure the reliability of the network. [ABSTRACT FROM AUTHOR]