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      • 2001년 춘계 황해 목시조사에 의한 밍크고래, Balaenoptera acutorostrata의 풍도 추정

        손호선,김장근,Tomio Miyashita 한국수산자원학회 2001 한국수산자원학회지 Vol.4 No.-

        직선횡단법에 의한 황해의 춘계 밍크고래 목시조사는 2000년 52차 국제포경위원회 과학위원회에서 승인된 조사계획에 따라, 2001년 4월 18일부터 5월 17일까지 30일간 국립수산진흥원 조사선 탐구3호(360 G/T, 선미트롤형)를 이용하여 경도 123˚-126˚ E와 위도 34˚ 18'-37˚ 18' N사이의 수역을 조사하였다. 조사 및 분석결과는 아래와 같다. 1. 조사는 짙은 안개와 기상등 목시조건의 악화로 계획된 직선항로의 56.9%인 총 810.5 n.m.을 조사할 수 있었으며, 1차 목시노력으로 연안에서 20군 21두, 외해에서 8군 8두로서 총 28군 29두를 발견하였다. 조사거리(L)당 발견율은 0.035 pod/n.m., 조사시간에 대한 발견율은 0.414 pod/hour였다. 발견 밍크고래의 분포는 위도 35˚N이북에 분포하였으며 위도 35˚50' 이북 수역의 연안과 외해에서는 밀집 분포하였다. 2. 관측 위치별 발견은 총 28회의 목시중 13회는 망통에서, 14회는 상갑판에서 1회는 망통과 상갑판에서 동시에 발견되어, 발견의 77.7%가 4명의 관측자 중 2명의 관측자에 의해 이루어져 목시관측자의 개인적 능력에 따라 발견율은 크게 좌우되었다. 3. 총 28회의 밍크고래 목시별 풍력계급은 보퍼트풍력계급 2에서 7.1%, 3에서 67.9%, 4에서 25.0%로 나타났다. 4. 발견고래의 직선항로로부터의 수직거리 빈도분포는 직관으로 대략적인 half-normal 분포를 나타내었으며, 최대 수직거리는 0.9 n.m으로 나타났으며, 고래발견 수직거리의 어림오차에 대한 발견각도와 거리의 보정치는 각각 13.220과 0.2000이었다. 빈도 분포의 절사는 세가지 주요 모델 (Uniform, Half-Normal and Hazard-Rate models)과 세가지 보정방법(Cosine, Simple polynomial and Hermite polynomial methods)으로 계산한 결과, Half-Normal 모델이 가장 낮은 AIC 값을 나타내었다. 5. 추정된 풍도는 가장 낮은 AIC 값을 나타낸 Half-Normal 모델에서 1,685두(변동계수 23.89%, 95% 신뢰구간 1,042-2,726)이었다. 고래류의 풍도 추정에 가장 좋은 적합도를 보이는 Hazard-Rate 모델에서는 1.267두(변동계수 23.46%, 신뢰구간 789-2,034)이었다. To describe the distribution and to estimate the abundance of minke whales (Balaenoptera acutorostrata) in the Yellow Sea, we conducted a whale sighting survey onboard the R/V Tamgu 3 (360 G/T), from mid-April to mid-May 2001. The survey area was bounded on the longitude by 123˚-126˚ E and on the latitude by 34˚ 18'-37˚ 18' N, which was 15.7% of the whole area of the Yellow Sea. The whale sightings were made in naked eyes, where closing mode was used for species identification and the pod size estimation. The total distance surveyed was 810.3 n.m., which was 56.9% of the plan (1423.5 n.m.) due to the inadequate sighting conditions, strong northwest wind and heavy fog. 28 schools (29 animals) of minke whales were observed in primary sightings and 1 school (1 animal) on off-effort, of which 20 schools (21 animals) in the coastal area and 8 schools (8 animals) in offshore. Sighting rate per distance and hours were 0.035 pod/n.m and 0.414 pod/hour, respectively. Sightings of minke whales were made north of 35˚ N and showed aggregation north of 35˚ 50' N both in the coastal and offshore areas. Sighting allocation between top barrel and upper bridge was almost equal but that by observer was highly biased to 2 observers who made 77.7% of the sightings. Perpendicular distance sampled showed quasi half-normal distribution with 0.9 n.m. of extreme right tails. Rounding errors of distances and angles made by observers were smeared 13.220 and 0.200, respectively. Of the models examined for accuracy and precision in terms of AIC and CV, we adopted Half-Normal model, which estimated 1,685 animals (CV=23.89%, 95% C.I.(1,042-2,726)) in the survey area.

      • KCI등재

        Intra-Oral Factors Influencing Halitosis in Young Women

        손호선,Kyoung Ok Kim,Jae Kwan Jung,Eun Jong Cha,Su-Ok Lee,Kyung Ah Kim 질병관리본부 2018 Osong Public Health and Research Persptectives Vol.9 No.6

        Objectives The aim of this research was to determine intra-oral factors that affect halitosis in young women. Methods This study was performed between March 2014 to May 2014, and included 35 women in their 20s with good oral health. Correlation and logistic regression analyses were performed to investigate the change in halitosis immediately, and 1 hour after scaling. Results In both oral gas (OG) and extraoral gas (EG) groups, halitosis was reduced after scaling compared to before scaling. The logistic regression analysis of oral state factors in OG showed that as oral fluid [odds ratio (OR) = 0.792, p = 0.045] and dental plaque (OR = 0.940, p = 0.016) decreased by 1 unit, the OR in the OG group decreased (> 50). In addition, as glucose levels in the oral cavity (OR = 1.245, p = 0.075) and tongue coating index (OR = 2.912, p = 0.064) increased by 1 unit, the OR in the OG group increased (> 50). Furthermore, in the EG group, as oral fluid (OR = 0.66, p = 0.01) and dental plaque (OR = 0.95, p = 0.04) decreased, the OR in the EG group decreased (> 50) significantly. Conclusion To control halitosis, it is necessary to increase oral fluid and decrease the amount of tongue plaque. Furthermore, maintaining a healthy oral environment, aided by regular scaling and removal of dental plaque, may significantly control halitosis.

      • KCI등재

        Biomarker for the Prediction of Major Adverse Cardiac Events in Patients with Non-ST-Segment Elevation Myocardial Infarction

        손호선,배장환,김경옥,차은종,김경아 질병관리본부 2017 Osong Public Health and Research Persptectives Vol.8 No.4

        N-terminal pro-brain natriuretic peptide (NT-proBNP) is a well-known biomarker for the diagnosis and prognosis of heart failure, and is directly associated with myocardial dysfunction. We evaluated the prognostic value of NT-proBNP for major adverse cardiac events (MACEs) among patients with non-ST-segment elevation myocardial infarction (NSTEMI) from the Korea Acute Myocardial Infarction Registry during their mid-term follow-up period. In this paper, we analyzed NT-proBNP according to various MACE and level of NT-proBNP. We used multivariate logistic regression to determine the risk factors according to MACE type and NT-proBNP levels, and to identify the cutoff value for each MACE by using the receiver operating characteristic (ROC) curve. NT-proBNP was a significant variable among cardiac deaths (p = 0.016), myocardial infarction (p = 0.000), and coronary artery bypass grafting (CABG) (p = 0.000) in patients with MACE compared with those without MACE. Two-vessel coronary artery disease (CAD) (p = 0.037) and the maximum creatinine kinase (max-CK) (p = 0.031) produced significant results in repeat percutaneous coronary intervention. The area under the ROC curve was found to be statistically significant for cardiac death and CABG. NT-proBNP is a useful predictor for 12-month MACEs among patients with NSTEMI and in those with heart failure. We propose that a new index incorporating NT-proBNP, max-CK, and CAD vessel will be useful as a prognostic indicator of MACEs in the future.

      • KCI등재

        Machine learning-based risk factor analysis for periodontal disease from a Korean National Survey

        손호선,최은선,Yan-Sub Cho,차은종,강태건,김경아 충북대학교 동물의학연구소 2022 Journal of Biomedical and Translational Research Vol.23 No.1

        Periodontal disease is a chronic but treatable condition which often does not cause pain during the initial stages of the illness. Lack of awareness of symptoms can delay initiation of treatment and worsen health. The aim of this study was to develop and compare different risk prediction models for periodontal disease using machine learning algorithms. We obtained information on risk factors for periodontal disease from the Korea National Health and Nutrition Examination Survey (KNHANES) dataset. Principal component analysis and an auto-encoder were used to extract data on risk factors for periodontal disease. A synthetic minority oversampling technique algorithm was used to solve the problem of data imbalance. We used a combination of logistic regression analysis, support vector machine (SVM) learning, random forest, and AdaBoost to classify and compare risk prediction models for periodontal disease. In cases where we used principal component analysis (PCA) to extract risk factors, the recall was higher than the feature selection method in the logistic regression and support-vector machine learning models. AdaBoost’s recall was 0.98, showing the highest performance of both feature selection and PCA. The F1 score showed relatively high performance in AdaBoost, logistic regression, and SVM learning models. By using the risk factors extracted from the research results and the predictive model based on machine learning, it will be able to help in the prevention and diagnosis of periodontal disease, and it will be used to study the relationship with various diseases related to periodontal disease.

      • KCI등재

        해양포유류 보호를 위한 수중 소음 관리 제도 도입 방안

        손호선,안두해,김현우 한국해양수산개발원 2015 해양정책연구 Vol.30 No.2

        Increased human activities in the marine environments have caused the increase of anthropogenic underwater noise in the oceans. Many countries are concerning about the harmful effects on marine mammals derived from the noise, and have legal frame to manage the negative noise effects on the marine environments. Korean government is planning to construct large offshore wind farms off the west and south coast of Korean peninsula and around Jeju island. There has been no laws and policies about the underwater noise management to protect marine mammals in Korea. This paper reviewed the guidelines by U.S. National Oceanic and Atmospheric Administration to assess the effects of anthropogenic sound on marine mammal hearing, and assessed the impacts from the construction of wind farms off Jeju island on the Indo-Pacific bottlenose dolphins inhabiting the area. Finally the recommendations to establish proper legal frame for the management of the underwater noise in Korean waters are given. 해양에서 인간 활동 증가로 인해 수중 소음 또한 크게 증가했으며, 대한민국 정부는 해상 풍력 발전 산업을 미래 유망 산업으로 규정하고 그 규모를 확대할 예정이다. 하지만 건설 및 운영 단계에서 발생하는 소음 에 대한 법적 관리 체제는 전무한 실정이다. 건설 공사 등으로 발생하는 강한 수중 소음은 어류를 비롯한 해양생물의 행동과 생리 등에 변화를 일으키고 심할 경우 청각 기관 등에 물리적 손상을 일으키기도 한다. 특히, 소리를 수중 이동 감각, 개체간 소통 및 먹이 활동을 위해 사용하는 해양포유류, 특히, 고래류는 주변의 소음에 크게 영향을 받기 때문에 많은 국가들이 수중 소음에 대한 규제를 실시하고 있다. 본 논문에서는 미국의 해양포유류 보호를 위한 수중 소음 관리 제도를 검토한 뒤, 제주도 풍력 발전 단지 건설과 운용에 따른 수중 소음이 남방큰돌고래에 끼치게 될 영향을 예측하고, 이를 바탕으로 대한민국의 수중 소음 관리 방안에 대한 제안을 한다.

      • KCI등재

        특징 추출 기법에 따른 신장암 데이터의 분류

        손호선,김경옥,차은종,김경아 대한전기학회 2020 전기학회논문지 Vol.69 No.7

        Recently, Numerous data mining methods in the bioinformatics field have been developed for processing biodata. We extracted significant genes (60,483 of gene expression data from TCGA) for the prognosis prediction of 1,157 patients using gene expression data from patients with kidney cancer and applied classification methods based on data mining. Significant genes were extracted using least absolute shrinkage and selection operator (LASSO) and principal component analysis (PCA), and classification accuracy and performance were compared using a classification algorithm. Combined clinical data from patients with kidney cancer and gene data were used to determine the optimal classification model and estimate classification accuracy as risk factors by sample type, primary diagnosis, tumor stage, and vital status representing the state of patients. Classification accuracy based on sample type showed the best performance, particularly for the logistic regression and support vector machine algorithms. These results can be applied to extract biomarkers for prognosis prediction of kidney cancer from various causes and for preventing kidney cancer and early diagnosis.

      • KCI등재

        국제사법재판소의 일본 남극 조사포경 불법판결에 따른 한국의 고래자원 관리 정책 방향 제안

        손호선,안두해,안용락 한국해양수산개발원 2014 해양정책연구 Vol.29 No.2

        On March 31, 2014, the International Court of Justice(ICJ) judged that the current Japanese Antarctic scientific whaling program did not fall within the provisions of Article VIII, paragraph 1, of the International Convention for the Regulation of Whaling. As a result ICJ asked Japan to revoke any extant authorization, permit or licence granted for scientific whaling. Japan accepted the decision immediately, but announced that a new scientific whaling plan would be submitted to the International Whaling Commission(IWC). Because the ICJ judgement is confined to the current Antarctic whaling, Japan’s North Pacific scientific whaling program is still in operation. The ICJ ruling acts as a guide for Japan’s future scientific whaling program rather than signalizing the collapse of the program. The Japanese whaling program is not driven by economic motives, but rather by cultural motives. To uphold their traditions, the Japanese government intends to continue its whaling program in spite of the international opposition. Korea has attempted to conduct scientific whaling twice, in 1986 and in 2012, but abandoned the plans due to strong opposition by the IWC members. Korea wants to resume whaling within the IWC’s legal frame work, rather than in the controversial Japanese scientific whaling approach. Considering the whaling quota allocation program in IWC, scaling up the current sighting survey to reduce uncertainty in the abundance estimates, and strictly managing incidental whale catches in Korean waters would better ensure the Korean government could obtain the IWC quota. Fostering the whale watching industry, reducing the conflicts between fishermen and dolphins, and further developing international research cooperation are also recommended to accomplish sustainable management of the cetacean resources in Korean waters. 2014년 3월 31일 국제사법재판소는 일본의 남극 조사포경이 ‘과학 조사를 목적으로 한’ 경우에 포경을 허용하는 국제포경규제협약을 위반했으므로 즉시 중단하라고 판결했다. 일본 외무상은 판결 직후 이를 수용하겠다고 발표했지만, 새로운 조사포경 실시를 예고했다. 위 판결로 인해서 형성된 조사포경을 비롯한 포경에 대한 반대 분위기 속에서 개최된 제65차 IWC 총회에서 대한민국 정부는 포경 재개를 희망한다고 발표 했다. 본 논문은 이상에서 언급한 판결의 세부 내용, 여기에 대한 일본 및 반포경 국가들의 반응과 일본의 향후 대응 계획을 알아보고, 이를 통해 대한민국의 고래 자원 관리 정책 방향을 제안하고자 한다.

      • KCI등재

        국제포경위원회 연례회의 기조연설 분석을 통한 대한민국 정부의 포경 입장 연구

        손호선,안두해,안용락 한국해양수산개발원 2015 해양정책연구 Vol.30 No.1

        The stance of the Korean government on the whaling issue is analyzed by its opening statements in the annual meetings of the International Whaling Commission(IWC) since 1978. The analysis shows that, in spite of the variable tones of the opening statements, the Korean government has consistently stated to catch whales within its Exclusive Economic Zone. But it is not probable to resume commercial whaling because of the confrontation between pro- and anti-whaling group in the IWC. Asking commercial whaling only in the opening statements could not make a breakthrough in the stalled IWC, and give any benefit to the Korean government. Neutral statement balanced between pro- and anti-whaling would make more whaling opportunities to the Korean government.

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