본 연구는 천연 한방 소재인 오배자를 사료첨가제로 이용하여 육계의 증체 및 육질에 미치는 영향을 분 석하였다. 총 80수의 2일령 육계를 20수 씩 각 4그룹으로 나눈 후 각 각 0% (control), 0.10%, 0.25% 및 0.50%의 농도로 사료에 첨가하여 30 일간 급여 하였고, 투여 시작 후 매 5일 마다 증체량, 사료섭취 량 및 사료 효율을 측정하였다. 그 결과 오배자 투여 그룹 모두에서 control 그룹보다 높은 증체량을 보 였고, 특히 0.25% 및 0.50% 투여그룹인 유의적인 증가를 나타냈으나 (P<0.05), 사료섭취량 및 사료효율 분석에서는 모든 그룹에서 유의적인 차이가 나타나지 않았다. 또한 오배자 0.10% 및 0.50% 투여그룹의 닭 다리살과 가슴살에 대한 조단백질과 지방산 조성을 분석해 보았다. 본 결과를 통하여 닭 다리살의 경 우 투여그룹 모두에서 비 투여군과 비교하여 조단백질 및 지방산 조성에는 큰 차이점을 보이지 않았다. 닭 가슴살의 경우 비 투여군과 비교하여 조단백질이 유의적으로 높게 나타났으며 (P<0.05), 지방산 조성 에 있어서 항암 및 항산화 작용으로 알려진 a-linoleic acid (C18:3n-3) 및 conjugated linoleic acid 가 비 투여군에 비해 높게 함유한 것으로 분석되었다. 이상의 결과로서 천연 한방 소재인 오배자를 육계용 사료첨가제로 급여하였을 때, 육계의 증체 및 육질 개선을 향상시키는 것으로 나타났으며, 이는 오배자가 육계의 생산성을 증대시키는 사료 첨가제로서 가치가 있을 것으로 사료된다.

교정시설에서의 수용기간 동안 수형성적이 우수하여 법무부로부터 가석방을 허가받은 소년가석방자들의 경우 사회로 복귀하여 재범을 저지르지 않고 사회에 적응하게 하는 국가적 차원의 노력이 요구된다. 이에 본 연구는 소년가석방자들을 대상으로 이들의 가석방 심사기준 자료들을 가지고 재범의 수준과 시기, 그리고 재범 위험요인을 규명하고자 범죄기록 관련 사전 배경요인, 교정시설 생활요인, 그리고 가족 관련 요인의 세 가지 범주로 나누어 생존분석을 이용하여 분석하였다. 본 연구의 결과 소년가석방자들은 조사대상 전체의 23.3%가 재범을 하였으며, 가석방 후 4개월째에 재범의 위험이 가장 높았으며, 매 4개월 마다 특징적으로 재범 위험률이 최고치를 보이는 것으로 나타났다. 소년가석방자의 범죄기록 관련 사전 배경요인 중에서는 형기, 입소전 알코올문제, 실형전력 등이 유의미하게 영향을 미치는 것으로 나타났고, 교정시설에서의 생활요인 중에서는 잔형기와 집행률이, 그리고 마지막으로 가족요인 중에서는 가족의 보호의지와 가족의 접견상황이 소년가석방자의 재범 위험률에 유의미하게 영향을 미치는 것으로 나타났다. 이러한 결과들을 볼 때에 사회복지사 등 전문가의 적극적인 개입을 통한 알코올․약물남용문제 치료프로그램 등 소년수형자에 대한 교정시설 내에서의 특화된 교정교화프로그램 및 가족과의 유대증진을 위한 특 별대책의 요구되며, 소년가석방자의 출소 이후 사회적응 기간에서 보호관찰찰소 등 사회내 처우기관과의 체계적 연계와 귀주예정지 환경개선활동 등의 활성화가 필요하다.

본 연구는 호랑이 미성숙 난자의 체외 성숙의 가능성을 검토하였다. 1. 호랑이 난자의 직경 (176.5)은 소 난자의 직경 (150.7)보다 유의적으로 컷으며, 세포질 직경 (122.1) 은 소 난자의 직경 (118.7) 과 유의차가 없었다. 또한, 호랑이 난자의 투명대 두께 (20.4) 는 소 난자의 두께 (12) 보다 유의적으로 두꺼웠다(p<0.05). 2. 체외성숙 48시간째 제1극체의 출현율은 62.5%이며, 핵성숙은 GV 단계(12.5%)와 M

지속적인 환경변화에 따른 중형저서동물 군집의 변동을 살펴보기 위하여, 시화호 방조제 배수갑문 부근의 대부도 방아머리 조간대의 5정점과 인근 조하대 3정점을 택하여, 2000년 3월부터 2001년까지 계절별로 수행되었다. 표층퇴적물의 평균 입도는 조간대에서 사질 퇴적 환경으로 3.16~3.73 Φ, 조하대에서 주로 니질 퇴적 환경으로 5.81~6.67 Φ, 의 퇴적 환경 특성을 나타냈다. 전체 19개의 중형저서동물 분류군이

In general, sitting balance is decreased in subjects with spinal cord injury. The purpose of this study was to evaluate the inter- and intra-rater reliability of the Functional Reach Test (FRT) which is used to measure sitting balance. The subjects of this study were 26 persons with spinal cord injury, and they were divided into three groups according to their injury level. Group I, II and III consisted of the following quadriplegics, , and paraplegics, respectively. Subjects sat on a mat table that was set at an 80 degree inclination. During three sessions, the length subjects could reach in the FRT test was measured by three physical therapists, and compared to each other. The results showed that intraclass correlation coefficients (2,1) were above 0.97 and inter-rater difference was not statistically significant. The one-way ANOVA demonstrated that reach differed between groups with lower thoracic lesion and the other test groups. In conclusion, we think modified FRT is useful and reliable method to measure the sitting balance in subjects with spinal cord injury.

This study investigated the distributional pattern of meiobenthos associated with future deep-sea mining in the Korea Deep Ocean Study area present in the Clarion-Clipperton Fracture Zone (CCFZ) located in the southeastern part of the North Pacific Ocean. Standing stocks of meiobenthos were investigated in benthic impact experiment sites (BIS) and Korea Institute of Ocean Science & Technology long-term monitoring (KOMO) sites during the 2008-2014 annual field survey. A total of 14 taxa of meiobenthos were identified. Nematodes were the most abundant taxon (60-86%). Harpacticoid copepods (5-26%) and benthic foraminifera (1-12%) were also dominant at all sites. The total meiobenthic densities varied from 4 to 150 ind./10 cm2. The mean value of total meiobenthic abundance was higher at BIS than at KOMO sites, but there was no significant difference between the two sites. The mean values of the number of taxa and biomass at BIS and KOMO sites were similar. The mean abundance of nematodes that were the most dominant taxa was also higher at BIS than at KOMO sites. The standing stocks in our study sites were relatively lower than those previously reported at other CCFZ sites. These results seem to reflect a low organic concentration in the study area.

As the impacts of climate change have been emerged all the way through society, the potential risks specifically on agricultural water and facilities are recently getting concerned. Evaluating vulnerability of agriculture to climate change on is a time-tested strategy. While a number of researches on the adaption and mitigation of climate change were performed in various aspects for sustainable agricultural production, the vulnerability of management system for agricultural water and infrastructure has not been investigated yet. This study is aimed to clarify the definition of vulnerability to climate change, find the major indicators able to presume the vulnerability, and finally determine the relative importance of the indicators based on the specialist questionnaire survey and its analyses. The lists of indicators for major parts of agricultural water management such as, water use, flood control, reservoir related issues, and pumping and drainage systems are initialized referring to the related precedent studies. The primary survey was conducted in the form of Delphi to complement the list and methods and the main survey was then conducted using AHP(Analytic Hierarchy Process) technique to quantitatively prioritize the indicators. The results derived in this study would be directly adopted in weighting importance of indicators to investigate the indicator-based vulnerability analysis to climate change in agricultural water and infrastructure management.

Recently the use of smart phones and mobile devices is increasing rapidly, data search and retrieval in the mobile environments are generalized. There are only few mobile applications available in the area of agriculture while huge amount of new applications are developed and uploaded. The purpose of this study was to develop the android based mobile application for providing agricultural infrastructure and disaster information. The mobile application was designed through the database establishment and management system, server management system, and mobile application development. The database is composed of weather data, agricultural infrastructure data, and agricultural disaster data. By developing the mobile application which provides agricultural infrastructure information, it is expected to improve the accessibility to agricultural information and mitigate the agricultural disaster damages.

Smartphones change the picture of data and information sharing and make it possible to share various real-time flooding data and information. The vulnerability indicators of farmland inundation is needed to calculate the risk of farmland flood based on changeable hydro-meteorological data over time with morphologic characteristics of flood-damaged areas. To find related variables show the vulnerability of farmland inundation using the binary-logit model and correlation analysis and to provide vulnerability indicators were estimated by fuzzy set method. The outputs of vulnerability indicators were compared with the results of Monte Carlo simulation (MCS) for verification. From the result vulnerability indicators are applicable to mobile_based information system of farmland inundation.

Climate change is the most direct threatening factors in sustaining agricultural productivity. It is necessary to reduce the damages from the natural hazards such as flood, drought, typhoons, and snowstorms caused by climate change. Through the vulnerability assessment to adapt the climate change, it is possible to analyze the priority, feasibility, effect of the reduction policy. For the vulnerability assessment, broad amount of weather data for each meterological station are required. Making the database management system for the meteorologic data could troubleshoot of the difficulties lie in handling and processing the weather data. In this study, we generated the meteorologic data retrieval system (MetSystem) for climate change vulnerability assessment. The user interface of MetSystem was implemented in the web-browser so as to access to a database server at any time and place, and it provides different query executions according to the criteria of meteorologic stations, temporal range, meteorologic items, statistics, and range of values, as well as the function of exporting to Excel format (*.xls). The developed system is expected that it will make it easier to try different analyses of vulnerability to natural hazards by the simple access to meteorologic database and the extensive search functions.

The objective of this study was to make a map of farmland vulnerability to flood inundation based on morphologic characteristics from the flood-damaged areas. Vulnerability mapping based on the records of flood damages has been conducted in four successive steps; data preparation and preprocessing, identification of morphologic criteria, calculation of inundation vulnerability index using a fuzzy membership function, and evaluation of inundation vulnerability. At the first step, three primary digital data at 30-m resolution were produced as follows: digital elevation model, hill slopes map, and distance from water body map. Secondly zonal statistics were conducted from such three raster data to identify geomorphic features in common. Thirdly inundation vulnerability index was defined as the value of 0 to 1 by applying a fuzzy linear membership function to the accumulation of raster data reclassified as 1 for cells satisfying each geomorphic condition. Lastly inundation vulnerability was suggested to be divided into five stages by 0.25 interval i.e. extremely vulnerable, highly vulnerable, normally vulnerable, less vulnerable, and resilient. For a case study of the Jinju, farmlands of 138.6km2, about 18% of the whole area of Jinju, were classified as vulnerable to inundation, and about 6.6km2 of farmlands with elevation of below 19 m at sea water level, slope of below 3.5 degrees, and within 115 m distance from water body were exposed to extremely vulnerable to inundation. Comparatively Geumsan-myeon and Sabong-myeon were revealed as the most vulnerable to farmland inundation in the Jinju.

Climate change has increased the number of floods and inundation on farmland. Recently various mobile applications through inundation mapping, flood forecasts and evacuation routes have been developed for the prevention and reduction of flood damages. However, most of current prevention systems for farmland flooding are still web-based systems relying on the field survey which needs a lot of human and time resources although mobile devices has been rapidly improved and widely used. The purpose of this study is to design a mobile application for preventing and reducing farmland flood and inundation damages and collecting damage information in real time. We put advanced mobile device functions such as GPS, network communications, cameras into our system design. This system implement 2way communication and intuitive application that will increase information efficiency and decrease flood damage. Our design has been tested through previous flooding data of Jinju city in 2010.

Numerical scheme of predicting large deflection of RC column structures is discussed by developing the algorithm of equivalent lateral loading system based on theorem of virtual work.