• The Plant Pathology Journal
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• 제36권2호
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• pp.185-191
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• 2020

Streptomyces griseus S4-7, a well-characterized keystone taxon among strawberry microbial communities, shows exceptional disease-preventing ability. The whole-genome sequence, functional genes, and bioactive secondary metabolites of the strain have been described in previous studies. However, proteomics studies of not only the S4-7 strain, but also the Streptomyces genus as a whole, remain limited to date. Therefore, in the present study, we created a proteomics reference map for S. griseus S4-7. Additionally, analysis of differentially expressed proteins was performed against a wblE2 mutant, which was deficient in spore chain development and did not express an antifungal activity-regulatory transcription factor. We believe that our data provide a foundation for further in-depth studies of functional keystone taxa of the phytobiome and elucidation of the mechanisms underlying plant-microbe interactions, especially those involving the Streptomyces genus.

• Spatial Information Research
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• 제5권2호
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• pp.147-160
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• 1997

지리정보시스템의 이론적 틀로 인식되고 있는 지도대수(Map Algebra)는 공간자료의 처리단위인 지도레이어를 피연산자로, 여러 처리소프트웨어를 연산자로 모델링하는 대수체계이다. 본 논문에서는 지도대수와 관련된 대표적 선행연구를 검토하여 그 제한점을 밝혀내어 보완하였다. 첫째 지도 레이어를 함수로 모형화하여 함수 프로그래밍의 메타 함수기능의 적용을 가능하도록 하였다. 이것은 지도대수언어에 메타연산자를 포함시켜 지리정보시스템의 사용자언어에 필요한 프로그래밍 기능을 제공하게된다 . 둘째 기존 지도대수언의 어의적.문법적 한계를 분석하고 이를 확장하여 지도 데이터 모델과 지도대수언어를 정형화한 후 지도대수 처리기으 원형을 설계하고 구현하였다. 지도대수언어 구문해석기는 기존의 지리정보시스템이 갖고 있는 이질적인 고유 명령어를 공통언어로 재구성하는 역할을 수행한다. 본 연구를 통해 구현된 맵시(MspSee)는 웹에 기반한 지도대수 처리기로써 본 논문에서 제시된 다양한 지도대수의 개념을 검증할 수 있었다. 지도대수언어를 통한 지리정보시스템의 사용자 인터페이스는 제트워크상에 분산되어 있는 지리정보와 그 처리모듈을 웹 클라이언트라는 간단하지만 강력한 인터페이스로 접근을 가?케 함으로써 인터넷 지리정보시스템의 중요 하부구조로 자리잡을 것으로 전망된다.

• BMB Reports
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• 제50권11호
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• pp.535-536
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• 2017

A novel approach has been used to identify functional interactions relevant to human disease. Using high-throughput human-yeast genetic interaction screens, a first draft of disease interactome was obtained. This was achieved by first searching for candidate human disease genes that confer toxicity in yeast, and second, identifying modulators of toxicity. This study found potentially disease-relevant interactions by analyzing the network of functional interactions and focusing on genes implicated in amyotrophic lateral sclerosis (ALS), for example. In the subsequent proof-of-concept study focused on ALS, similar functional relationships between a specific kinase and ALS-associated genes were observed in mammalian cells and zebrafish, supporting findings in human-yeast genetic interaction screens. Results of combined analyses highlighted MAP2K5 kinase as a potential therapeutic target in ALS.

• 대한의용생체공학회:의공학회지
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• 제27권3호
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• pp.110-116
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• 2006

Finite element method (FEM) provides several advantages over other numerical methods such as boundary element method, since it allows truly volumetric analysis and incorporation of realistic electrical conductivity values. Finite element mesh generation is the first requirement in such in FEM to represent the volumetric domain of interest with numerous finite elements accurately. However, conventional mesh generators and approaches offered by commercial packages do not generate meshes that are content-adaptive to the contents of given images. In this paper, we present software that has been implemented to generate content-adaptive finite element meshes (cMESHes) based on the contents of MR images. The software offers various computational tools for cMESH generation from multi-slice MR images. The software named as the Content-adaptive FE Mesh Generation Toolbox runs under the commercially available technical computation software called Matlab. The major routines in the toolbox include anisotropic filtering of MR images, feature map generation, content-adaptive node generation, Delaunay tessellation, and MRI segmentation for the head conductivity modeling. The presented tools should be useful to researchers who wish to generate efficient mesh models from a set of MR images. The toolbox is available upon request made to the Functional and Metabolic Imaging Center or Bio-imaging Laboratory at Kyung Hee University in Korea.

• 대한불안의학회지
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• 제10권2호
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• pp.143-150
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• 2014

Objective : The subgenual cingulate cortex, a part of default-mode network, has been known to playa key role in the pathophysiology of depression. The previous studies have reported abnormal functional connectivity between the subgenual cingulate cortex and other brain regions in the patients with depression. The goal of this shldy was to explore the resting-state functional connectivity of the subgenual cingulate cortex between the patients with depression and healthy subjects. Methods : Twenty patients with major depression and age- and sex-matched 20 healthy subjects underwent 5-minute resting state fMRI scans. The functional connectivity map in each subject was acquired using seed-based correlation analysis with the seed located in the subgenual cingulate cortex (Talairach coordinates; x=-10, y=5, z=-10). The functional connectivity maps were calculated using AFNI and compared between the patient and healthy subject group via two-sample T-test using 3dttest++ in AFNI package. Results : Functional connectivity was decreased between the subgenual cingulate cortex and both sides of fusiform gyrus in depressed subjects. Connectivity was also decreased between the subgenual cingulate cortex and the left cerebellum in the patient group. There was no correlation between the severity of depression and the degree of functional connectivity between the subgenual cingulate cortex and the regions showing decreased functional connectivity. Conclusion : Decreased resting-state functional connectivity between the subgenual cingulate cortex and both sides of fusiform gyrus, and decreased connectivity between the subgenual cingulate cortex and the left cerebellum found in the patients with major depression in comparison to the healthy subjects might be related to abnormal emotional and cognitive processing of depressed patients.

• 대한치과교정학회지
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• 제50권2호
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• pp.86-97
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• 2020

Objective: To propose a three-dimensional (3D) method for evaluating temporomandibular joint (TMJ) changes during Twin-block treatment. Methods: Seventeen patients with Class II division 1 malocclusion treated using Twin-block and nine untreated patients with a similar malocclusion were included in this research. We collected their cone beam computed tomography (CBCT) data from before and 8 months after treatment. Segmentations were constructed using ITK-SNAP. Condylar volume and superficial area were measured using 3D Slicer. The 3D landmarks were identified on CBCT images by using Dolphin software to assess the condylar positional relationship. 3D models of the mandible and glenoid fossa of the patients were constructed and registered via voxel-based superimposition using 3D Slicer. Thereafter, skeletal changes could be visualized using 3DMeshMetric in any direction of the superimposition on a color-coded map. All the superimpositions were measured using the same scale on the distance color-coded map, in which red color represents overgrowth and blue color represents resorption. Results: Significant differences were observed in condylar volume, superficial area, and condylar position in both groups after 8 months. Compared with the control group (CG), the Twin-block group exhibited more obvious condyle-fossa modifications and joint positional changes. Moreover, on the color-coded map, more obvious condyle-fossa modifications could be observed in the posterior and superior directions in the Twin-block group than in the CG. Conclusions: We successfully established a 3D method for measuring and evaluating TMJ changes caused by Twin-block treatment. The treatment produced a larger condylar size and caused condylar positional changes.

• 한국환경복원기술학회지
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• 제18권1호
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• pp.127-133
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• 2015

Interests in ecosystem services have increased and a number of attempts to perform a quantitative valuation on them have been undertaken. To classify the ecosystem types landcover classification maps are generally used. However, some forest types on landcover classification maps have a number of errors. The purpose of this study is to verify the forest types on the landcover map by using a variety of field survey data and to suggest an improved method for forest type classifications. Forest types are compared by overlaying the landcover classification map with the 4th forest type map, and then they are verified by using National Forest Inventory, 3rd National Ecosystem Survey and field survey data. Misclassifications of forest types are found on the forest on the forest type map and farm and other grassland on the landcover map. Some errors of forest types occur at Daegu, Busan and Ulsan metropolitan cities and Gangwon province. The results of accuracy in comprehensive classification show that deciduous forest is 76.1%; coniferous forest is 54.0%; and mixed forest is 22.2%. In order to increase the classification accuracy of forest types a number of remote sensing images during various time periods should be used and the survey period of NFI and the National Forest Inventory and National Ecosystem Survey should be consistent. Also, examining areas with wide forest patch should be prioritized during the field survey in order to decrease any errors.

• 한국기록관리학회지
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• 제16권1호
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• pp.175-193
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• 2016

토픽맵은 방대한 양의 정보를 의미론적 연관관계에 따라 분류, 조직하여 탐색할 수 있도록 효율적인 검색을 제공하기 위해 제안된 도구이다. 본 연구는 대학의 교직원들이 학사행정 대학기록물 검색시 의미기반 검색을 통해 보다 적합한 검색결과를 제공받을 수 있도록 토픽맵 기반 대학기록물 검색시스템을 설계한 것이고 그 과정을 보여준다. 본 연구를 위해 D대학의 2년간 학사행정 기록물들이 사용되었고 의미관계를 구조화하기 위해 대학의 업무 기능 분류표를 참조하였다. 온토피아 옴니게이트를 사용하여 토픽맵을 구축하였다. 대학의 학사행정 관련 기록물의 토픽은 총 626개로 나타났고, 토픽 타입은 학사업무, 교직원, 학적, 대학, 학생, 기타로 구성하였다. 관계는 토픽들간의 연관으로 6개 유형이 나타났고, 어커런스 타입은 등록구분, 등록번호, 등록일, 수신자, 제목, 기안자, 분류번호 등의 7개로 정의하였다. 본 연구에서 설계된 토픽맵 기반의 검색시스템의 관계적 속성은 대규모 기록물을 쉽게 탐색하고 지식의 우연한 발견을 가능하게 할 것으로 기대된다.

• 한국방재학회 논문집
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• 제8권5호
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• pp.77-83
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• 2008

본 연구에서는 정부차원에서 충남 연기군 일대에 추진되고 있는 행정중심복합도시 대상지역($132\;km^2$)에 대하여 재해대책을 위한 토지피복 분류 및 식생활력도(NDVI) 평가를 시도하였다. 활용한 영상은 아리랑 2호, LANDSAT, Aster 영상이며 해상도에 따른 분류의 한계를 비교, 평가하였다. 대상지역은 주로 산지와 논과 밭 등의 경작지이므로 특히 논과 밭의 분류에 주의를 기울였다. 아리랑2호 영상의 분류에 있어서는 고해상영상 분류를 위한 세그먼테이션 기법을 적용하였다. 분류의 정확도를 평가하기 위해 표본적으로 현장조사를 실시하여 검사하였으며 국가 토지이용도 및 토지대장의 지목과 비교하였다. 얻어진 결과는 shape file의 형태로 주제도를 완성하였으며 이는 행정중심복합도시의 미래지향적 개발계획을 위한 정책결정에 많은 도움이 될 것이다.

• Asian-Australasian Journal of Animal Sciences
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• 제17권3호
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• pp.309-312
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• 2004

We performed exon trapping in order to locate functional genes on chicken chromosomes (GGA) and to identify functional gene sequences from chicken cosmids. Sequence analysis of 100 clones revealed 17 putative exons, five of which were identified with known sequences in a gene database search: thymopoietin beta (TMPO), U5 snRNP-specific 40 kDa protein (HPRP8BP), dihydropyridine receptor alpha 1 subunit (CACNL1A3), cystein string protein (CPS) and C15orf4. We attempted to map the genes to chicken chromosomes by using FISH and linkage analysis. The chromosomal localizations were GGA1 (TMPO), GGA10 (C15orf4), GGA23 (HPRP8BP) and GGA28 (CPS) by FISH and linkage analysis, while that of CACNL1A3 was predicted to be on a microchromosome by FISH but not by linkage analysis. Comparative mapping analyses between chickens and humans for the genes revealed both known and new synteny. The syntenic conservation between GGA1 and human chromosome (HSA) 12q23 (TMPO) and between GGA10 and HSA15q25 (C15orf4), were consistent with a recent publication, while two new syntenies were observed between GGA28 and HSA20q13.3 in CPS and between GGA23 and HSA1p34-35 in HPRP8BP. The information of presently mapped genes can contribute as anchor markers based on functional genes and the construction of a comparative map.