사춘기 조숙증은 여아에서 8세 이전에 유방 발육이 있거나 남아에서 9세 이전에 고환이 4 mL 이상 커지는 것으로 정의되는데 최근 사춘기 발현 연령이 점차 낮아지고 있다. 사춘기를 시작하는 gonadotrophin releasing hormone(GnRH)의 활성화에는 흥분성 및 억제성 아미노산, 성장인자, 전사조절인자, 아디포카인 등 많은 인자들이 복합적으로 작용한다. 특발성 사춘기 조숙증의 원인으로서 유전인자, 영양상태(특히 체지방 증가), 환경호르

Recently 'Rural Amenity Resources Survey' has been launched to preserve unique and various attributes of rural amenity resources in rural areas. While vast amounts of field data are being collected, there has been insufficient means to share and analyze the data among users. This article addresses crucial issues on why more systematical approaches of building an information system to retrieve and represent information more efficiently. In this work, we have developed an alternative 'Rural Amenity Resources Information System' using Web-GIS and ontology, and later examined its applicability.

According to diverse studies in population migration, there has been a strong age-dependent population distribution in Korea. It is shown that a particular age-group tends to reside in a particular locale or community and the effect possesses usually statistical significance. We quantitatively address this issue: how certain division of age group resides in different region of the country, and investigate possible cause of this migration pattern for different age groups. In this study, population migration trend at age groups of 20s, 30s, 40s and 50s has been analyzed incorporating a spatial econometrics model that accounts for diverse statistical pitfalls such as spatial autocorrelation and spatial dependency. We found that migration trend for different age group corresponds to regional characteristics differently. The study concludes with some policy implications and suggests a need of further study.

Preservation of geometrical context of terrains in a digitized format is useful in handling and making modification to the data. Digitization of three-dimensional terrain still proves a great challenge due to heavy load of context required to retain details of topological and geometrical information. Methods of simplification, restoration and multi-level terrain generation are often employed to transform the original data into a compressed digital format. However, reduction of the stored data size comes at an expense of loss of details in the original data set. This article reports on an alternative scheme for simplification and restoration of terrain data. The algorithm utilizes the fact that the terrain formation and patterns can be predicted and modeled through the fractal algorithm. This method was used to generate multi-level terrain model based on NGIS digital maps with preserving geometrical context of terrains.