Studies on Electrocardiogram of the Normal Korean Native Goat II. Waveforms and Amplitudes of the Unipolar Precordial Chest Leads (정상적인 한국 흑염소의 심전도에 관한 연구 II. 담부단극유도의 파형과 전위)
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- Journal of Veterinary Clinics
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- 제14권2호
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- pp.338-348
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- 1997
The electrocardiographic (ECG) parameters on unipolar precordial chest leads in the normal Korean native goat of 343 heads as to CV$_{6}$LU, CV$_{6}$LL CV$_{6}$RU, CV$_{6}$RL and V10 have been measured with a 3-channel Elertrocardiograph and computed, analysed. All wave types as positive, negatives biphasic and flatting in the P and T waves appeared in all leads but any special wave type was not shown more than 60%. Average amplitudes with the highest frequent rate in P wave were 81.4
The purpose of study is to examine how tour wholesaler's relationship characteristics to tour retailer affect trust, commitment, and repurchase intention in the distribution channel of travel industry. There are several detailed purposes of this study. First, this study is to grasp the factors of tour wholesaler's relationship characteristics to tour retailer. Secondly, this study is to examine how tour wholesaler's relationship characteristics to tour retailer affect trust and commitment. Thirdly, this study is to examine how trust on tour wholesaler, which is divided into two levels, firm and salesperson in charge, affects each other and commitment. Fourthly, this study is to examine how trust on tour wholesaler finn and salesperson in charge and commitment affect repurchase intention. Fifthly, this study is to suggest more efficient basis for marketing strategies to C.E.O or officer in charge of decision making of tour wholesaler, and help them to make right decisions. Managerial implications can be drawn from this study. One is that it is recognized that tour wholesaler's relationship characteristics to tour retailer consist of those to tour wholesaler finn such as reputation, physical characteristics, communication and those to salesperson in charge such as expertise, likability, similarity, frequent contact affect trust and commitment positively. Therefore, C.E.O and officer in charge of decision making of tour wholesaler should set up marketing strategies to get positive results at both levels, a finn and a salesperson. The other is that it is important that a tour wholesaler should manage their tour retailer with relationship oriented methods such as building trust, and make every endeavor to retain long term relationship with tour retailer.
Across the world, 'housing' comprises a significant portion of wealth and assets. For this reason, fluctuations in real estate prices are highly sensitive issues to individual households. In Korea, housing prices have steadily increased over the years, and thus many Koreans view the real estate market as an effective channel for their investments. However, if one purchases a real estate property for the purpose of investing, then there are several risks involved when prices begin to fluctuate. The purpose of this study is to design a real estate price 'return rate' prediction model to help mitigate the risks involved with real estate investments and promote reasonable real estate purchases. Various approaches are explored to develop a model capable of predicting real estate prices based on an understanding of the immovability of the real estate market. This study employs the LSTM method, which is based on artificial intelligence and deep learning, to predict real estate prices and validate the model. LSTM networks are based on recurrent neural networks (RNN) but add cell states (which act as a type of conveyer belt) to the hidden states. LSTM networks are able to obtain cell states and hidden states in a recursive manner. Data on the actual trading prices of apartments in autonomous districts between January 2006 and December 2019 are collected from the Actual Trading Price Disclosure System of the Ministry of Land, Infrastructure and Transport (MOLIT). Additionally, basic data on apartments and commercial buildings are collected from the Public Data Portal and Seoul Metropolitan Government's data portal. The collected actual trading price data are scaled to monthly average trading amounts, and each data entry is pre-processed according to address to produce 168 data entries. An LSTM model for return rate prediction is prepared based on a time series dataset where the training period is set as April 2015~August 2017 (29 months), the validation period is set as September 2017~September 2018 (13 months), and the test period is set as December 2018~December 2019 (13 months). The results of the return rate prediction study are as follows. First, the model achieved a prediction similarity level of almost 76%. After collecting time series data and preparing the final prediction model, it was confirmed that 76% of models could be achieved. All in all, the results demonstrate the reliability of the LSTM-based model for return rate prediction.
This study was conducted to analyze the distribution patterns of wintering waterbird communities in relation to local environmental factors in the urban streams of Seoul, Korea. A field survey was conducted at 66 sites of 5 tributaries and the main channel of the Hangang River in Seoul in January 2006. The total of 65 species and 39,560 individuals were recorded in the field survey. There were 48 species and 28,989 individuals in the Hangang River, 14 species and 1,395 individuals in the Tancheon stream, 15 species and 2,306 individuals in the Jungrangcheon stream, 22 species and 5,990 individuals in the Anyangcheon, 18 species and 283 individuals in the Changrungcheon stream, and 24 species and 597 individuals in Gokrungcheon stream. The dominant species were Anas platyrhynchos (22.65%), A. poecilorhyncha (14.01%), Aythya ferina (13.26%), Aythya fuligula (8.04%), and Mergus merganser (7.03%). Among the 16 species (with 30,650 individuals) of ducks, the dabbling and diving ducks were 8 species with 18,286 individuals and 8 species with 12,364 individuals, respectively. Through the principal component analysis, the study sites were classified into four main groups according to the similarity of their waterbirds' species compositions: 3 tributaries in the urban area (Group 1), 2 tributaries in the rural area (Group 2), one in the rural area, one in the urban area, the urban area in Hangang River (Group 3) and the main channel of the Hangang River in the urban area (Group 4). Species diversity index and species evenness were the highest in Group 1, while the lowest Group 2. Analysis on their environmental factors showed that the waterbirds wintering in urban streams of Seoul prefer broad water width, low water depth and broad resting sites.
Introduction: Diffusion is process by which an innovation is communicated through certain channel overtime among the members of a social system(Rogers 1983). Bass(1969) suggested the Bass model describing diffusion process. The Bass model assumes potential adopters of innovation are influenced by mass-media and word-of-mouth from communication with previous adopters. Various expansions of the Bass model have been conducted. Some of them proposed a third factor affecting diffusion. Others proposed multinational diffusion model and it stressed interactive effect on diffusion among several countries. We add a spatial factor in the Bass model as a third communication factor. Because of situation where we can not control the interaction between markets, we need to consider that diffusion within certain market can be influenced by diffusion in contiguous market. The process that certain type of retail extends is a result that particular market can be described by the retail life cycle. Diffusion of retail has pattern following three phases of spatial diffusion: adoption of innovation happens in near the diffusion center first, spreads to the vicinity of the diffusing center and then adoption of innovation is completed in peripheral areas in saturation stage. So we expect spatial effect to be important to describe diffusion of domestic discount store. We define a spatial diffusion model using multinational diffusion model and apply it to the diffusion of discount store. Modeling: In this paper, we define a spatial diffusion model and apply it to the diffusion of discount store. To define a spatial diffusion model, we expand learning model(Kumar and Krishnan 2002) and separate diffusion process in diffusion center(market A) from diffusion process in the vicinity of the diffusing center(market B). The proposed spatial diffusion model is shown in equation (1a) and (1b). Equation (1a) is the diffusion process in diffusion center and equation (1b) is one in the vicinity of the diffusing center.