• Toxicological Research
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• 제19권3호
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• pp.247-257
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• 2003

Medicine is undergoing a revolution in the understanding of the mechanisms through which disease processes develop. The advent of genetics and molecular biology to oncology not only is providing surrogate predictors of therapy response and survival which are forming the basis for selection among established treatment options, but is providing targets for new directions in therapy as well. Molecular modification of somatic cells for the purposes of protecting the normal cells from the toxicity of cancer chemotherapy, for the sensitization of the tumor cells to therapy and use of conditionally replicating viral vector have been new directions of cancer treatment which have reached the clinical arena. Advances in molecular pharmacology and vector design summarized in this paper may provide solutions to some of the existing problems in the technology of gene transfer therapy. Continued basic research into the biological basis of human disease, systemic studies of the application of these discoveries to therapy and the improvement of vector for gene delivery all combined may result in advances in this important field of therapy over the next few years.

• 동아시아경상학회지
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• 제2권4호
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• pp.1-8
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• 2014

This study examines the relationship between population growth and carbon dioxide emissions in the context of Africa perspective. Population growth and carbon dioxide emissions helped identify the key driving forces of environmental impacts by including other predictors in all the different income levels of all sampled countries in Africa. To explore the role of population growth in the emissions of carbon dioxide, this research employed a panel data set of 52 Africa countries from 1960 to 2012 using fixed effects, random effects and GLS/FGLS estimators to estimate the modified STIRPAT model. The results found that a 1% increase in population growth suggests an increase in carbon dioxide emission loads by about 0.33%, 1.08%, 0.57% and 2.32% on the average, controlling for all other anthropogenic driving forces, for LICA, LMICA, UICA and HICA respectively. There is a significant relationship between population growth and carbon dioxide emissions in all the national income levels in Africa.

• 터널과지하공간
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• 제2권1호
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• pp.102-115
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• 1992

Blasting operations associated with rock excavation work may have an environmental impact in nearby structures or human beings. With the increase of construction work in urban areas, vibration problems and complaints have also increased. In order to determine the optimum design parameters for safe blast, it is essential to understand blast mechanism, design variables involved in blast-induced damage, and their effects on the blasting results. This paper deals with the characteristics of ground vibrations, air blast and fly rock caused by blast, including the general method of establishing the vibration predictors, and damage criteria suggested by various investigators. The results of field measurements from open pit mine and tunnel construction work are discussed. Basic concepts of how to design blast parameters to control the generation of ground vibrations, air blast and fly rock are presented.

• 농촌계획
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• 제3권1호
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• pp.75-85
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• 1997

Kim, Bong-won * · Kim, Yoo-ill *1 Dept. of Landscape Architecture, Sungkyunkwan Univ. ABSTRACT The purpose of this study was to evaluate the Quality of Life with a sample set collected from 37F residents in Seoul Metropolitan's countryside. Collected data were analyzed by means of regression analysis. Research results indicated that the predictors of Quality of Life had a relationship with'job satisfaction','self satisfaction','residential satisfaction','income satisfaction'and other variables(Ra= .48). The residents who strongly satisfied with those variables were likely to satisfy with their life. Also, the existence of toyon office and the educational level emerged as a significant factors for the life satisfaction. This means that the residents located at toyon office or educated higher level satisfied more on their life. Thus the personal characteristics and environmental attributes played a basic role on the life satisfaction. Implications for future research are discussed, and methodological and analytical weaknesses of this study are identified.

• Journal of Forest and Environmental Science
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• 제32권1호
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• pp.94-98
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• 2016

Calamus andamanicus Kurz is one of the commercially important solitary rattans endemic to Andaman and Nicobar islands. The habitat suitability modeling program, MaxEnt, was used to predict the potential ecological niches of this species, based on bioclimatic variables. The study revealed high potential distribution of C. andamanicus across both Andaman and Nicobar islands. Of the 33 spatially unique points, 21 points were recorded from South and North Andamans and 12 from Great Nicobar Islands. The islands like Little Andaman, North Sentinel, Little Nicobar, Tllangchong, Teressa were also predicted positive even though this rattan is not recorded from these islands. Mean diurnal range, higher precipitation in the wettest month of the year, annual precipitation and precipitation in the driest month are the main predictors of this species distribution.

• 한국수자원학회논문집
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• 제53권2호
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• pp.121-129
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• 2020

도시화로 인한 불투수층 증가와 하천 주변 개발은 홍수 시 위험에 노출되는 재해요인의 증가뿐 아니라 피해의 파급을 발생시켜 홍수 관리 측면에서 어려움을 낳는다. 홍수 방재대책을 위해서는 도시지역에 분포하는 다양한 지표면 공간특성을 반영하여 침수가 예상되는 지역에 대한 파악이 우선시되어야 한다. 본 연구에서는 도시하천의 홍수 위험지역을 대상으로 확률적 홍수위험 평가가 수행되었다. 홍수와 관련된 지형적 영향요인인 고도, 경사, 유출곡선지수, 하천까지 거리를 예측변수로 하여 하천 주변 침수 예상지역을 설명하기 위해 모형의 학습데이터로 100년 빈도 홍수위험 지도가 사용되었다. 연구 대상 지역은 격자로 변환하여 Bayesian Logistic 회귀분석을 수행하여 각 격자별로 홍수영향요인이 침수 여부를 설명하는 모형을 구축하였다. 최종적으로 모형을 통해 대상 지역 전체에 대하여 침수위험도를 확률적으로 제시하였다.

• Architectural research
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• 제14권4호
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• pp.125-132
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• 2012

In contemporary Korean society, urban community environment is often associated with high-density and high-rise residences that make people's relationships superficial, instrumental and impersonal. Furthermore, urban community consistently interplays with neighboring residents and childhood emotional experience are influential on their unconscious images and attitude about their current neighborhood environment, while affecting the environmental attitude and the formation of community sense. Previous research found evidences that increased level of community sense is fostering more feeling of living in so-called "real neighborhood environment." This study aimed to cross-culturally examine what the respondents' emotional perception and their attitude were about the community environment in their childhood through environmental autobiography method and to examine the effects of the results on adults' formation of sense of community for their current community environment. Extensive literature review explored a few important theoretical framework which are closely related to sense of community (SOC) as a result of emotional experience: membership, influence, integration and fulfillment of needs, shared emotional connection and community satisfaction. Chi-square and GLM analysis revealed that there were no demographic, and socio-economic differences between two groups of Korean and US residents. Correlation analysis indicated that childhood emotional experience of Koreans and US citizens was statistically significant on sense of community for their current living community. Multi-regression analysis also found that the degree of influence were the main predictors for building strong sense of current community throughout a cross-cultural group. Furthermore, the relationship between various emotional experience of each factor in previous and current community environment were statistically significantly related. It is concluded that as the positive childhood experience of influence in their past community was going up, the level of sense of community for their current community was strengthened across their cross-cultural background.

• 한국임상수의학회지
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• 제36권1호
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• pp.23-29
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• 2019

While research findings suggest that the highly pathogenic avian influenza (HPAI) is the leading cause of economic loss in Korean poultry industry with an estimated cumulative impact of $909 million since 2003, identifying the environmental and anthropogenic risk factors involved remains a challenge. The objective of this study was to identify areas at high risk for potential HPAI outbreaks according to the likelihood of HPAI virus detection in wild birds. This study integrates spatial information regarding HPAI surveillance with relevant demographic and environmental factors collected between 2003 and 2018. The Maximum Entropy (Maxent) species distribution modeling with presence-only data was used to model the spatial risk of HPAI virus. We used historical data on HPAI occurrence in wild birds during the period 2003-2018, collected by the National Quarantine Inspection Agency of Korea. The database contains a total of 1,065 HPAI cases (farms) tied to 168 unique locations for wild birds. Among the environmental variables, the most effective predictors of the potential distribution of HPAI in wild birds were (in order of importance) altitude, number of HPAI outbreaks at farm-level, daily amount of manure processed and number of wild birds migrated into Korea. The area under the receiver operating characteristic curve for the 10 Maxent replicate runs of the model with twelve variables was 0.855 with a standard deviation of 0.012 which indicates that the model performance was excellent. Results revealed that geographic area at risk of HPAI is heterogeneously distributed throughout the country with higher likelihood in the west and coastal areas. The results may help biosecurity authority to design risk-based surveillance and implementation of control interventions optimized for the areas at highest risk of HPAI outbreak potentials.

• 한국환경과학회지
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• 제30권12호
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• pp.1053-1065
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• 2021

In this study, the prediction technology of Hydrological Quantitative Precipitation Forecast (HQPF) was improved by optimizing the weather predictors used as input data for machine learning. Results comparison was conducted using bias and Root Mean Square Error (RMSE), which are predictive accuracy verification indicators, based on the heavy rain case on August 21, 2021. By comparing the rainfall simulated using the improved HQPF and the observed accumulated rainfall, it was revealed that all HQPFs (conventional HQPF and improved HQPF 1 and HQPF 2) showed a decrease in rainfall as the lead time increased for the entire grid region. Hence, the difference from the observed rainfall increased. In the accumulated rainfall evaluation due to the reduction of input factors, compared to the existing HQPF, improved HQPF 1 and 2 predicted a larger accumulated rainfall. Furthermore, HQPF 2 used the lowest number of input factors and simulated more accumulated rainfall than that projected by conventional HQPF and HQPF 1. By improving the performance of conventional machine learning despite using lesser variables, the preprocessing period and model execution time can be reduced, thereby contributing to model optimization. As an additional advanced method of HQPF 1 and 2 mentioned above, a simulated analysis of the Local ENsemble prediction System (LENS) ensemble member and low pressure, one of the observed meteorological factors, was analyzed. Based on the results of this study, if we select for the positively performing ensemble members based on the heavy rain characteristics of Korea or apply additional weights differently for each ensemble member, the prediction accuracy is expected to increase.

• 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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• 제27권4호
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• pp.61-70
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• 2021

Purpose: The study aims at identifying patient-related and environmental factors associated with an increased risk of falling and, therefore, both caregivers and designers can be aware of fall risk factors and can contribute to prevent inpatient falls in their own areas of expertise. Methods: A case-control study has been conducted, utilizing patient data and physical environmental data in the unit of General Medicine in the United States. The case-control study investigated data about patients who had suffered falls as well as patients with similar characteristics (e.g., age, gender, and diagnosis) who did not suffer falls. Results: The study identified both patient-related and physical environmental factors associated with inpatient falls. Morse fall risk score, patient visibility, and patient accessibilityB were identified as significant predictors to inpatient falls, when controlling for other significant variables. Implications: The findings of the study can provide implications to both caregivers and healthcare and hospital environment designers. Caregivers should give special attention to patients with high Morse Fall Risk Scores to prevent inpatient falls. Designers also need to examine and to fine-tune the unit layout of inpatient care units to maximize each patient room's patient visibility from the rest of the unit and patient accessibilityB from working areas of nurses.