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We validate the analgesic efficacy of tianeptine by different administration routes and timing in a rat model of neuropathic pain. Neuropathic pain was induced by ligating the L5 and L6 spinal nerves in male Sprague-Dawley rats, and mechanical allodynia was assessed using von Frey filaments. The effects of orally administered tianeptine and pretreatment with tianeptine (intrathecally or intraperitoneally) on mechanical allodynia were assessed. Oral and preemptive intrathecal administration of tianeptine significantly increased the paw withdrawal threshold but preemptive intraperitoneal administration did not. Nevertheless, intraperitoneal pretreatment of tianeptine potentiated the antiallodynic effects of subsequently administered tianeptine. These findings suggest that tianeptine may be effective for preventing and treating neuropathic pain and that it can be used more widely in clinical pain practice.

The purpose of this study is to offer the raw data for improving the method of landscape planting in apartment complex by objective surveying and analysing the growth ratio by type and ground planted in landscape tree. The results are as follows. In the survival ratio of tree, Pinus densiflora was the highest and Abies koreana was the lowest in evergreen tree. In case of deciduous tree, the species of the highest survival ratio were Diospyros kaki, Zelkova serrata, Prunus mume, Lagerstroemia indica and Ginkgo biloba. There showed that Sorbus commixta and Chaenomeles sinensis had the lowest survial ratio. In case of tree growth by types, Pinus strobus was the highest and Pinus densiflora var. globosa was the lowest among evergreen trees. Among deciduous trees, the growth ratio of Zelkova serrata was the highest, and the trees showed the lowest growth were Lagerstroemia indica, Magnolia denudata and Cornus officinalis. Pinus strobus, Cornus kousa, Ginkgo biloba, Chionanthus retusa and Acer palmatum were good growth in natural ground, and Zelkova serrata and Prunus armeniaca var. ansu were good in artificial ground. In the future, if you study the growth characteristics and shrubs that are excluded from the study of landscape trees in various locations are expected to derive objective data.

Urban sprawl has been the limits of traffic accommodate and the supply road. Thus, Light Rail Transit(LRT) has been proposed as the best alternative. Owing to landscape damage from construction of LRT, landscape planning should be considered seriously in the urban planning step. This paper therefore seeks to determine landscape improvement direction of LRT pier. First, the methods in this study shared landscape improvement direction type of LRT pier through previous studies such as planting of surface(30%, 60%, 90% planting of surface), graphic(character, commercial advertising, symbol), and surface treatment type(exposed concrete, white painting, pattern dies). Next, respondent evaluated 3D simulated landscape image accordingly shared types by preference and landscape adjectives using in streetscape evaluation. As a result, visual preference was the highest in planting type of surface and the lowest in the surface treatment type. Covering 60%(4.48) in planting type of surface was the highest. Because it is similar to the golden ratio considering the visual principle, we will need to take advantage through the result of this paper. Also, most landscape improvement direction which satisfied with significant level showed a positive effect from landscape improvement. Comprehensively based on these results, it suggests desirable landscape improvement direction of LRT pier in the city for solution of landscape inhibition problem.

The purpose of this study is to create a landscape image that considers the selection of techniques that can enhance landscape reproduction in streetscape evaluation using 3 dimensional simulations and to evaluate ways to verify similarities and the psychological changes on the part of users by season. In the comparison of technique, the Low(apply normal map) technique was selected for the natural representation of trees in a near and middle view and the Plane technique was selected for the distant view. As the result of the verification, all indicators of physical similarity were evaluated over 4.50 points and most indicators of psychological similarity were found to have no difference except for indicators of `disordered orderly` and `dirty - clean`. According to the results of analyzing the landscape simulation by season, images of `bright`, `beautiful`, and `static`, etc., were evaluated high for the spring streetscape. The images of `open`, `refresh`, and `animate` appeared high in summer and images of `warm` and `dark` were found to be high in fall. On the other hand, all images were evaluated as low except for the `orderly` image. In the preference of streetscape by season, summer and spring were highly preferred at 5.01 and 4.98 with winter as the lowest at 3.48. As the results of the analysis of preference factor, the spring streetscape was found to be a major influence in preference by 0.540 in `aesthetics`. In the case of summer, `order` was found to be high at 0.417 while influences in preference included `variety` and `aesthetics` in fall and `variety`, `aesthetics`, and `order` in winter. A determination of suitable spatial planning using a comparative analysis of various city streets will be enabled through the methods of this study.