• Journal of Korean Society on Water Environment
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• v.31 no.6
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• pp.610-618
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• 2015

This study was conducted to find out the influence of sample size (accumulated survey areas) on the seven biological indices of benthic macroinvertebrates. BMI, the index similar to Zeilika-Marvan’s saprobic index, tended to be independent on the variations of sample size. The other indices (Shannon-Weaver’s diversity, Margalef’s richness, Menhinick’s richness, Pielou’s evenness, and Lenat’s EPT index) showed the considerable variations along with the increase of sample size and environmental conditions. To get the appropriate index values, it should be sampled at least 6 replicates more based on 30×30cm Surber sampler. In addition, the habitat heterogeneity index of benthic macroinvertebrates suggested in this study, it will be able to be used for evaluating the heterogeneity of habitats.

• The Korean Journal of Zoology
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• v.34 no.1
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• pp.8-19
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• 1991

Atrial natriuretic peptide(ANP)의 유리기전에 대한 특성을 알아보고자, 흰쥐의 적출심장 관류모형을 사용하여 연구한 바 다음과 같은 결과를 얻었다. 1. 심방을 확장시켰을 때 ANP의 유리는 촉진되었다. 그러나 과용량을 부하하면 확장기간보다 회복기간에 ANP의 유리가 현저하게 증가하였다. 2. Epinephrine과 phenylephrine을 주입하면 ANP의 유리 량이 증가했으나, isoproterenol을 주입하면 심박수와 우심방 내압이 현저하게 증가했는데도 ANP의 유리량은 오히려 감소하였다 3. 미주신경을 자극하면 심박수의 현저한 감소에도 불구하고 ANP의 유리량은 증가하였다. 이상과 같은 결과에서 볼 때 결론적으로, 심방의 용량부하에 의해 심방근의 신장수용체가 자극을 받아 ANP의 유리가 촉진되는 것은 분명하고, 심방근이 확장할 때 보다는 확장 후 다시 원래의 길이로 환원될 때 ANP가 유리될 것으로 사료된다. 그리고 ANP의 유리에 대한 adrenergic조절은 o-receptor가 관련되어 있으며 심박수와 심방내압이 ANP의 유리를 변화시키는 데는 반드시 필수적인 인자가 아닌 것으로 여겨진다. 또한 특히 미주신경의 자극으로도 ANP의 유리가 조절될 수 있다는 것이 본 연구를 통해 새로이 발견되었다.

• Ecology and Resilient Infrastructure
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• v.2 no.1
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• pp.64-79
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• 2015

We investigated the tidal current, hydrographic data, and benthic environment of major sea cucumber (Holothuroidea, de Blainville, 1834) habitats in Baengnyeongdo, Jindo and Uljin to understand the optimal environmental or ecological habitat for sea cucumbers. The three study areas were characterized by a cold-water mass of temperatures ranging $12{\sim}18^{\circ}C$, with an active circulation between the surface and deep waters. According to an analysis of the tidal current map, a strong flow velocity of $100{\sim}120cm\;s^{-1}$ appeared in Baengnyeongdo and Jindo. The three sea cucumber habitats showed the common characters of a bottom sediment composed of sand-silt, a diverse seaweed colony and benthic organisms, and boulders and rocks which provide a hideout for the organisms. We aimed to draw the optimal habitat condition for sea cucumbers in Korea, and the result showed that the low water temperature, rapid water flow, active vertical mixing between surface and deep waters, bottom composed by sand-silt, large rocks, and diverse seaweed colony and benthic organism were important factors. The optimal habitat for Juvenile sea cucumbers was the intertidal areas characterized by a muddy bottom, reef, and seaweed. The optimal habitat for adult sea cucumbers was characterized by a place where sand and mud are mixed, and the body size of the sea cucumber was proportional to water depth, and the relatively large boulders and rocks compared to the intertidal area.

• Journal of Life Science
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• v.31 no.9
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• pp.840-848
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• 2021

This study was conducted to estimate annual trends and the environmental effects in the racing records of Jeju horses. The Korean Racing Authority (KRA) collected 48,645 observations for 2,167 Jeju horses from 2002 to 2019. Racing records were preprocessed to eliminate errors that occur during the data collection. Racing times were adjusted for comparison between race distances. A stepwise Akaike information criterion (AIC) variable selection method was applied to select appropriate environment variables affecting racing records. The annual improvement of the race time was -0.242 seconds. The model with the lowest AIC value was established when variables were selected in the following order: year, budam classification, jockey ranking, trainer ranking, track condition, weather, age, and gender. The most suitable model was constructed when the jockey ranking and age variables were considered as random effects. Our findings have potential for application as basic data when building models for evaluating genetic abilities of Jeju horses.

• Journal of Intelligence and Information Systems
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• v.22 no.2
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• pp.127-142
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• 2016

Deep learning model is a kind of neural networks that allows multiple hidden layers. There are various deep learning architectures such as convolutional neural networks, deep belief networks and recurrent neural networks. Those have been applied to fields like computer vision, automatic speech recognition, natural language processing, audio recognition and bioinformatics where they have been shown to produce state-of-the-art results on various tasks. Among those architectures, convolutional neural networks and recurrent neural networks are classified as the supervised learning model. And in recent years, those supervised learning models have gained more popularity than unsupervised learning models such as deep belief networks, because supervised learning models have shown fashionable applications in such fields mentioned above. Deep learning models can be trained with backpropagation algorithm. Backpropagation is an abbreviation for "backward propagation of errors" and a common method of training artificial neural networks used in conjunction with an optimization method such as gradient descent. The method calculates the gradient of an error function with respect to all the weights in the network. The gradient is fed to the optimization method which in turn uses it to update the weights, in an attempt to minimize the error function. Convolutional neural networks use a special architecture which is particularly well-adapted to classify images. Using this architecture makes convolutional networks fast to train. This, in turn, helps us train deep, muti-layer networks, which are very good at classifying images. These days, deep convolutional networks are used in most neural networks for image recognition. Convolutional neural networks use three basic ideas: local receptive fields, shared weights, and pooling. By local receptive fields, we mean that each neuron in the first(or any) hidden layer will be connected to a small region of the input(or previous layer's) neurons. Shared weights mean that we're going to use the same weights and bias for each of the local receptive field. This means that all the neurons in the hidden layer detect exactly the same feature, just at different locations in the input image. In addition to the convolutional layers just described, convolutional neural networks also contain pooling layers. Pooling layers are usually used immediately after convolutional layers. What the pooling layers do is to simplify the information in the output from the convolutional layer. Recent convolutional network architectures have 10 to 20 hidden layers and billions of connections between units. Training deep learning networks has taken weeks several years ago, but thanks to progress in GPU and algorithm enhancement, training time has reduced to several hours. Neural networks with time-varying behavior are known as recurrent neural networks or RNNs. A recurrent neural network is a class of artificial neural network where connections between units form a directed cycle. This creates an internal state of the network which allows it to exhibit dynamic temporal behavior. Unlike feedforward neural networks, RNNs can use their internal memory to process arbitrary sequences of inputs. Early RNN models turned out to be very difficult to train, harder even than deep feedforward networks. The reason is the unstable gradient problem such as vanishing gradient and exploding gradient. The gradient can get smaller and smaller as it is propagated back through layers. This makes learning in early layers extremely slow. The problem actually gets worse in RNNs, since gradients aren't just propagated backward through layers, they're propagated backward through time. If the network runs for a long time, that can make the gradient extremely unstable and hard to learn from. It has been possible to incorporate an idea known as long short-term memory units (LSTMs) into RNNs. LSTMs make it much easier to get good results when training RNNs, and many recent papers make use of LSTMs or related ideas.

• Journal of Korean Society for Geospatial Information Science
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• v.23 no.1
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• pp.101-111
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• 2015

Stream restoration projects have become threats to riparian ecosystem in Rep. of korea. Riparian wildlife becomes isolated and the animals are often experience difficulties in crossing riparian corridors. The purposes of this study is to select suitable wildlife passages for wild animals crossing riparian corridors. Maximum entropy model and snow tracking data on embankment in winter seasons were used to develop species distribution models to select suitable wildlife passages for water deer. The analysis suggests the following. Firstly, most significant factors for water deer's habitat in area nearby riparian area are shown to distance to water, age-class, land cover, slope, aspect, digital elevation model, tree density, and distance to road. For the riparian area, significant factors are shown to be land cover, size of riparian area, distance to tributary, and distance to built-up. Secondly, the suitable wildlife passages are recommended to reflect areas of high suitability with Maximum Entropy model in riparian areas and the surrounding areas and moving passages. The selected suitable areas are shown to be areas with low connectivity due to roads and vertical levee although typical habitats for water deer are forest, grassland, and farmland. In addition, the analysis of traces on snow suggests that the water deer make a detour around the artificial structures. In addition, the water deer are shown to make a detour around the fences of roads and embankment around farmland. Lastly, the water deer prefer habitats around riparian areas following tributaries. The method used in this study is expected to provide cost-efficient and functional analysis in selecting suitable areas.

• Journal of Physiology & Pathology in Korean Medicine
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• v.18 no.4
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• pp.1061-1070
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• 2004

Chronic oral aphthae, recurrent ulcer and uveitis are the three main festations of Behcet's disease(BD). The aetiopathogenesis of Behcet's disease is still obscure, but herpes simplex virus is one of the possible casual factors. Gamchosasim-tang (Gancaoxiexin-tang), Banhasasim-tang(Banxiaxiexin-tang) and Saenggangsasim-tang( Shengjiangxiexin-tang) are traditional medication in Oriental medicine, that has been used to treat inflammatory disease. Especially, Gamchosasim-tang used to treat Behcet's disease like symptoms. ICR mice were used for this study. The earlobe of the mice were scratched with a needle, then inoculation with 1.0×10/sup 6/ plaque forming units/㎖ of HSV type I. Virus inoculation was performed twice with 10 day interval, followed by 16 weeks of observation. Using the HSV-induced Behcet's disease mouse model, kinds of Sasim-tang were administered variously before and after inoculation. In order to. classify the symptomatic mice as having Behcet's disease like symptoms. We followed the revised Japanese classification with minor modifications. Ulceration of the mice were monitored. In addition, spleen cytokine expression were measured by polymerase chain reaction, ELISA. HSV DNA was detected in HSV inoculation mice. HSV-induced mice treated with kinds of Sasim-tang showed improvement in symptom. In RT-PCR results, IFN-γ was expressed for all groups, IL-2 was expressed for the treated groups, and IL-10 was also expressed. IL-4 was expressed nothing. In ELISA, IL-2 was increased for GSST 2, BSST 2, GSST 2, GSST3 and INF-γ was increased for GSST 2, BSST 2, SSST 2, SSST 3. This model suggest the possible role of immune response to viral infection in the development and activation of Behcet's disease.

• The Journal of Internal Korean Medicine
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• v.22 no.1
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• pp.63-71
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• 2001

Objectives : Cordyceps Sinensis (CS) was tested for the effects of antioxidant enzymes and lipid peroxidation in the liver. Methods : We measured the changes in body weight, enzyme activity, lipid peroxide and the death rate in the hydrocortisone acetate-treated rats. Results : In vitro, CS didn't effect levels of lipid peroxide. the activities, and the ratio of type conversion of xanthine oxidase. In the hydrocortisone acetate-treated rats, lipid peroxide, the activities, the ratio of type conversion of xanthine oxidase, and the death rate all increased. But, glutathione peroxidase and superoxide dismutase decreased. In vitro, after CS was administered to hydrocortisone acetatetreated rats, the levels of lipid peroxide in the liver, and the death rate decreased. However, the activities, and the ratio of type conversion of xanthine oxidase decreased. The body weight, glutathione peroxidase, and superoxide dismutase in+creased. The effects of Sinensis Cordyceps Broth did better than the effects of Sinensis Cordyceps Mycelia. Conclusions : These results suggest that CS decrease the activities of free radical generating enzymes which form lipid peroxide and increase the activities of oxygen free radical scavenging enzymes.

• Journal of Animal Environmental Science
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• v.16 no.1
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• pp.29-40
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• 2010

The purpose of the study is to review current studies for economic values on livestock products produced by animal welfare. In order to review the topic, published research papers and reports were reviewed in the world. As the result of the study, the studies for the topic are not researched actively. The main ideas for the studies were consumer survey on meats and egg. Data were questionnaire, Lexis-Nexis databases, consumptions and prices on meats, auction data. Tools for analyses were Random parameters logit and latent class model, WTP analysis, Roterdam model, Pearson's Chi test, Mann-Whitney V-test, Kruskal-Wallis test, structural equation model, regression model, Target-costing, and conjoint analysis.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.584-588
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• 2016

기후변화와 불투수지역의 증가로 인하여 하천 유량의 변동성은 점차 커지고 있다. 이에 따라 유량에 영향을 받는 하천환경과 다양한 생태계는 큰 영향을 받고 있음에 유량 관리가 매우 중요시 되어지고 있다. 하천 유량은 빗물이 지표면에 떨어져 직접하천으로 흐르는 지표유출과 지표면하의 암반층으로 침투되어 지하수가 되고 시간의 흐름에 따라 지표로 흘러나오는 기저유출로 구성되어 있다. 기저유출은 땅속에서 흐르기 때문에 흐름이 느리다. 이에 따라 강우가 발생하지 않을 시에 하천유량의 대부분을 차지하고 있다. 따라서 기저유출의 관리는 수자원의 관리에 매우 중요할 것이다. 국내외에서도 기저유출의 관리를 위한 연구가 필요하며 지표수-지하수의 연계관리를 위한 명확한 조명이 필요한 시기이다. 본 연구에서는 국내 기저유출의 분포와 지하수 의존형 수생태계가 미치는 영향에 대해서 분석하였다. 기저유출의 분리는 최근 많은 연구가 수행되어져 왔고 다양한 방법이 개발되었다. 일반적으로 시계열 유량자료를 통해 기저유출을 산정한다. 기저유출의 산정을 위해 두 가지 유량 데이터를 이용하였다. 검보정된 수문모형을 통한 데이터와 국내에 존재하는 관측데이터를 이용하여 지표유출과 기저유출을 분리하여 유역의 기저유출지표를 산정하였다. 기저유출지표는 총 유출량과 기저유출과의 비로 산정되는 유역의 특성을 나타내는 지표이다. 기저유출과 수생태계의 관계를 분석하기 위해 환경부에서 수행하는 네 가지 수생태건강성지수와 기저유출지표와의 상관성을 분석하였다. 수생태건강성지수는 부착돌말류, 저서성 대형무척추동물, 어류, 서식 및 수변환경으로 구성되었다. 기저유출 산정과 수생태계와의 분석은 낙동강유역을 대상으로 수행하였다. 낙동강유역의 기저유출을 산정하여 기저유출지표를 산정한 결과 0.4이상의 값을 나타냈다. 이는 하천의 유량 중 약 40%가 기저유출에 의존한다는 의미이다. 또한 월별 기저유출지표를 산정한 결과 강수가 적은 봄과 겨울철의 경우 0.7이상을 나타냈다. 특히 1월달의 경우 0.9이상을 나타내 겨울철 대부분의 하천 유량은 기저유출에 의존한다. 산정된 기저유출지표와 네 가지 수생태건강성지수의 상관성 분석을 수행하였다. 분석결과 저서성 대형무척추동물과의 상관성을 나타냈고 나머지에서는 상관성을 나타내고 있지 않았다. 하지만 이는 아직 국내에서 수생태계의 건강성 조사와 평가가 이루어진지 얼마 되지 않았기 때문으로 판단된다. 본 연구결과를 바탕으로 기저유출관리 방안의 정책적인 도입과 연구의 시발점이 될 것이다.