• 제목/요약/키워드: Portal analysis

검색결과 674건 처리시간 0.028초

Gramene database: A resource for comparative plant genomics, pathways and phylogenomics analyses

  • Tello-Ruiz, Marcela K.;Stein, Joshua;Wei, Sharon;Preece, Justin;Naithani, Sushma;Olson, Andrew;Jiao, Yinping;Gupta, Parul;Kumari, Sunita;Chougule, Kapeel;Elser, Justin;Wang, Bo;Thomason, James;Zhang, Lifang;D'Eustachio, Peter;Petryszak, Robert;Kersey, Paul;Lee, PanYoung Koung;Jaiswal, kaj;Ware, Doreen
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2017년도 9th Asian Crop Science Association conference
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    • pp.135-135
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    • 2017
  • The Gramene database (http://www.gramene.org) is a powerful online resource for agricultural researchers, plant breeders and educators that provides easy access to reference data, visualizations and analytical tools for conducting cross-species comparisons. Learn the benefits of using Gramene to enrich your lectures, accelerate your research goals, and respond to your organismal community needs. Gramene's genomes portal hosts browsers for 44 complete reference genomes, including crops and model organisms, each displaying functional annotations, gene-trees with orthologous and paralogous gene classification, and whole-genome alignments. SNP and structural diversity data, available for 11 species, are displayed in the context of gene annotation, protein domains and functional consequences on transcript structure (e.g., missense variant). Browsers from multiple species can be viewed simultaneously with links to community-driven organismal databases. Thus, while hosting the underlying data for comparative studies, the portal also provides unified access to diverse plant community resources, and the ability for communities to upload and display private data sets in multiple standard formats. Our BioMart data mining interface enable complex queries and bulk download of sequence, annotation, homology and variation data. Gramene's pathway portal, the Plant Reactome, hosts over 240 pathways curated in rice and inferred in 66 additional plant species by orthology projection. Users may compare pathways across species, query and visualize curated expression data from EMBL-EBI's Expression Atlas in the context of pathways, analyze genome-scale expression data, and conduct pathway enrichment analysis. Our integrated search database and modern user interface leverage these diverse annotations to facilitate finding genes through selecting auto-suggested filters with interactive views of the results.

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Surgical outcome and risk scoring to predict survival after hepatic resection for hepatocellular carcinoma with portal vein tumor thrombosis

  • Tae-Seok Kim;Kwangho Yang;Gi Hong Choi;Hye Yeon Yang;Dong-Sik Kim;Hye-Sung Jo;Gyu-Seong Choi;Kwan Woo Kim;Young Chul Yoon;Jaryung Han;Doo Jin Kim;Shin Hwang;Koo Jeong Kang
    • 한국간담췌외과학회지
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    • 제28권2호
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    • pp.134-143
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    • 2024
  • Backgrounds/Aims: The hepatocellular carcinoma (HCC) with portal vein tumor thrombosis (PVTT) is classified as the advanced stage (BCLC stage C) with extremely poor prognosis, and in current guidelines is recommended for systemic therapy. This study aimed to evaluate the surgical outcomes and long-term prognosis after hepatic resection (HR) for patients who have HCC combined with PVTT. Methods: We retrospectively analyzed 332 patients who underwent HR for HCC with PVTT at ten tertiary referral hospitals in South Korea. Results: The median overall and recurrence-free survival after HR were 32.4 and 8.6 months, while the 1-, 3-, and 5-year overall survival rates were 75%, 48%, and 39%, respectively. In multivariate analysis, tumor number, tumor size, AFP, PIVKA-II, neutrophil-to-lymphocyte ratio, and albumin-bilirubin (ALBI) grade were significant prognostic factors. The risk scoring was developed using these seven factors-tumor, inflammation and hepatic function (TIF), to predict patient prognosis. The prognosis of the patients was well stratified according to the scores (log-rank test, p < 0.001). Conclusions: HR for patients who have HCC combined with PVTT provided favorable survival outcomes. The risk scoring was useful in predicting prognosis, and determining the appropriate treatment strategy for those patients who have HCC with PVTT.

RI-Biomics 기술정보시스템을 활용한 효율적인 정보 수집-분석-활용 체계 수립에 관한 연구 (Development of Efficient System for Collection-Analysis-Application of Information Using System for Technology and Information in the Field of RI-Biomics)

  • 장솔아;김주연;박태진
    • 방사선산업학회지
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    • 제9권3호
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    • pp.161-166
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    • 2015
  • RI-Biomics is the new radiation fusion technology of which, such as the characteristics of radioisotope, is applied to the biomics. In order to sharing and overall analysis of data between the institutions through total management of information in the field of RI-Biomics, RI-Biomics Information portal 'RIBio-Info' was constructed by KARA (Korean Association for Radiation Application) in February 2015. For systematic operation of this 'RIBio-Info' system, it is required to develop system of collection-analysis-application of information. So, in this paper, we summarized development of document forms at each processes of collection-analysis-application of information and systematization of collection methods of information, establishment of characteristically analysis methods of reports such as issue paper, policy report, global market report and watch report. Therefore, these are expected to improving the practical applicability in this field through the vitalization of technology development of users by achieving the circular structure of collectionanalysis-application of information.

Text-Mining of Online Discourse to Characterize the Nature of Pain in Low Back Pain

  • Ryu, Young Uk
    • 대한물리의학회지
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    • 제14권3호
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    • pp.55-62
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    • 2019
  • PURPOSE: Text-mining has been shown to be useful for understanding the clinical characteristics and patients' concerns regarding a specific disease. Low back pain (LBP) is the most common disease in modern society and has a wide variety of causes and symptoms. On the other hand, it is difficult to understand the clinical characteristics and the needs as well as demands of patients with LBP because of the various clinical characteristics. This study examined online texts on LBP to determine of text-mining can help better understand general characteristics of LBP and its specific elements. METHODS: Online data from www.spine-health.com were used for text-mining. Keyword frequency analysis was performed first on the complete text of postings (full-text analysis). Only the sentences containing the highest frequency word, pain, were selected. Next, texts including the sentences were used to re-analyze the keyword frequency (pain-text analysis). RESULTS: Keyword frequency analysis showed that pain is of utmost concern. Full-text analysis was dominated by structural, pathological, and therapeutic words, whereas pain-text analysis was related mainly to the location and quality of the pain. CONCLUSION: The present study indicated that text-mining for a specific element (keyword) of a particular disease could enhance the understanding of the specific aspect of the disease. This suggests that a consideration of the text source is required when interpreting the results. Clinically, the present results suggest that clinicians pay more attention to the pain a patient is experiencing, and provide information based on medical knowledge.

키워드 네트워크 분석을 이용한 공공데이터 수요 예측 (Forecasting Open Government Data Demand Using Keyword Network Analysis)

  • 이재원
    • 정보화정책
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    • 제27권4호
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    • pp.24-46
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    • 2020
  • 본 연구는 키워드 네트워크 분석을 이용하여 공공데이터 수요(즉, 공공데이터 제공신청, 검색 질의 등)를 적시에 예측하는 방법을 제안한다. 분석 결과에 따르면, 수요가 높은 토픽에 속하는 공공데이터는 대부분 국내 공공데이터 포털(data.go.kr)에서 제공되고 있지만, 토픽 연관 분석을 통해 예측된 이용자의 실제 요구와 관련된 공공데이터는 거의 제공되지 않고 있다. 공공데이터를 제공(또는 선정)할 때, 이용자의 공공데이터 제공신청과의 관련성보다 공공데이터 토픽과의 관련성이 우선시되기 때문이다. 제안된 키워드 네트워크 분석 프레임워크는 실제 공공데이터 제공신청을 바탕으로 이용자들의 수요를 빠르고 쉽게 예측할 수 있으므로, 향후 공공기관(중앙부처·지방자치단체·산하기관)의 공공데이터 정책 수립에 이바지할 수 있을 것으로 기대된다.

A Study on Social Perceptions of Public Libraries Utilizing the sentiment analysis

  • Noh, Younghee;Kim, Dongseok
    • International Journal of Knowledge Content Development & Technology
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    • 제12권4호
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    • pp.41-65
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    • 2022
  • This study would understand the overall perception of our society about public libraries, analyzing the texts related to public libraries, utilizing the semantic connection network & sentiment analysis. For this purpose, this study collected data from the last five years with keywords, 'Library' and 'Lifelong Learning Center' from January 1, 2016 through November 30, 2020 through the blogs and cafés of major domestic portal sites. With the collected data, text mining, centrality of keywords, network structure, structural equipotentiality, and sensitivity analyses were conducted. As a result of the analysis, First, 'reading' and 'book' were identified as representative keywords that form the social perception of public libraries. Second, it turned out that there were keywords related to the use of the library and the untact service due to the recent spread of COVID-19. Third, in seeking a plan for the development of public libraries through the keywords drawn to have positive meanings, it is necessary to create continuous services that can form a new image of the library, breaking away from the existing fixed role and image of the library and increase the convenience of use. Fourth, facilities and facilities for library services were recognized from a neutral point of view. Fifth, the spread of infectious diseases, social distancing, and temporary closure and closure of libraries are negatively related to public libraries, and awareness of librarians has been identified as negative keywords.

CNN 딥러닝을 활용한 경관 이미지 분석 방법 평가 - 힐링장소를 대상으로 - (Assessment of Visual Landscape Image Analysis Method Using CNN Deep Learning - Focused on Healing Place -)

  • 성정한;이경진
    • 한국조경학회지
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    • 제51권3호
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    • pp.166-178
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    • 2023
  • 본 연구는 이용자들의 인식과 경험이 내재된 소셜미디어 사진에서 경관 이미지를 분석하기 위한 방법으로 CNN 딥러닝 방법을 소개하고 평가하는 데 그 목적이 있다. 본 연구에서는 힐링장소를 연구의 대상으로 설정하여 경관 이미지를 분석하였다. 연구를 위해 텍스트마이닝과 선행연구 고찰을 통해 힐링과 관련되는 7가지의 경관 형용사를 선정하였다. 이후 CNN 딥러닝 학습 사진 구축을 위해 50명의 평가자를 모집하였으며, 평가자들에게 포털사이트에서 '힐링', '힐링풍경', '힐링장소'로 검색되는 사진 중 7가지 형용사마다 가장 적합한 사진을 3장씩 수집하도록 하였다. 수집된 사진을 정제 및 데이터 증강 과정을 거쳐 CNN 모델을 제작하였다. 이후 힐링장소 경관 분석을 위해 포털사이트에서 '힐링'과 '힐링풍경'으로 검색되는 15,097장의 사진을 수집하여 이를 분류하였다. 연구결과 '기타'와 '실내'를 제외한 범주에서 '조용한'이 2,093장(22%)으로 가장 높게 나타났으며, '개방적인', '즐거운', '안락한', '깨끗한', '자연적인', '아름다운' 순으로 나타났다. CNN 딥러닝은 경관 이미지 분석에서도 결과를 도출 가능한 분석 방법임을 연구를 통해 알 수 있었다. 또한, 기존 경관 분석 방법을 보완할 수 있는 하나의 방법임을 시사하였고, 경관 이미지 학습 데이터 셋 구축을 통한 향후 심층적이고 다양한 경관 분석을 제안한다.

Spectral analysis of semi-actively controlled structures subjected to blast loading

  • Ewing, C.M.;Guillin, C.;Dhakal, R.P.;Chase, J.G.
    • Structural Engineering and Mechanics
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    • 제33권1호
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    • pp.79-93
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    • 2009
  • This paper investigates the possibility of controlling the response of typical portal frame structures to blast loading using a combination of semi-active and passive control devices. A one storey reinforced concrete portal frame is modelled using non-linear finite elements with each column discretised into multiple elements to capture the higher frequency modes of column vibration response that are typical features of blast responses. The model structure is subjected to blast loads of varying duration, magnitude and shape, and the critical aspects of the response are investigated over a range of structural periods in the form of blast load response spectra. It is found that the shape or length of the blast load is not a factor in the response, as long as the period is less than 25% of the fundamental structural period. Thus, blast load response can be expressed strictly as a function of the momentum applied to the structure by a blast load. The optimal device arrangements are found to be those that reduce the first peak of the structural displacement and also reduce the subsequent free vibration of the structure. Semi-active devices that do not increase base shear demands on the foundations in combination with a passive yielding tendon are found to provide the most effective control, particularly if base shear demand is an important consideration, as with older structures. The overall results are summarised as response spectra for eventual potential use within standard structural design paradigms.

Roles of Fibroblast Growth Factor-inducible 14 in Hepatocellular Carcinoma

  • Li, Nan;Hu, Wen-Jun;Shi, Jie;Xue, Jie;Guo, Wei-Xing;Zhang, Yang;Guan, Dong-Xian;Liu, Shu-Peng;Cheng, Yu-Qiang;Wu, Meng-Chao;Xie, Dong;Liu, Shan-Rong;Cheng, Shu-Qun
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권6호
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    • pp.3509-3514
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    • 2013
  • The prognostic value of the fibroblast growth factor-inducible 14 (Fn14) expression in hepatocellular carcinoma (HCC) is unknown. Real-time PCR (RT-PCR), western blot assays and immunohistochemistry analysis were here performed in order to compare Fn14 expressios in paired liver samples of HCC and normal liver tissue. Most of the tumor tissues expressed significantly higher levels of Fn14 compared to adjacent non-tumor tissues, with Fn14High accounting for 54.6% (142/260) of all patients. The Pearson ${\chi}^2$ test indicated that Fn14 expression was closely associated with serum alpha fetal protein (AFP) (P=0.002) and tumor number (p=0.019). Univariate and multivariate analyses revealed that along with tumor diameter and portal vein tumor thrombosis (PVTT ) type, Fn14 was an independent prognostic factor for both overall survival (OS) (HR=1.398, p=0.008) and recurrence (HR=1.541, p=0.001) rates. Fn14 overexpression HCC correlated with poor surgical outcome, and this molecule may be a candidate biomarker for prognosis as well as a target for therapy.

수근관증후군의 수술방법에 따른 성적 - 내시경수술과 개방절개술 - (The Surgical Results of Carpal Tunnel Syndrome - Open Versus Endoscopic Method -)

  • 이한영;김일만;이장철;이창영;손은익;김동원;임만빈
    • Journal of Korean Neurosurgical Society
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    • 제29권11호
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    • pp.1451-1455
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    • 2000
  • Objective : The goal of this study is to present whether endoscopic release(ER) is superior to open release(OR) for the treatment of carpal tunnel syndrome(CTS). Method and Material : Fifty-nine wrists in 43 patients who had clnical signs and symptoms consistent with CTS, not responded to non-operative management, were entered into the study. Authors retrospectively compared 27 wrists treated with ER(February 1999-June 1999) with 32 wrists treated with OR(October 1997-March 1999). We performed conventional open surgery in 25 patients(mean age ; 46 years) and Brown's two-portal technique in 18 patients(mean age ; 53 years) under intravenous regional block or general anesthesia. Results : Sixteen patients had CTS on both hands and left hands were affected more frequently than right hand, 34 and 25 respectively. Successful and poor results of ER were similar to those of OR. For patients in OR group, mean duration of symptoms was 5 years(range 1 month-30 years), and postoperative outcome was good in 27(84.4%) of wrists and poor in 5(15.6%). For patients in ER group, mean duration of symptoms was 7 months (range 2 months-25 years), outcome was good in 23(85.2%) of wrists and poor in 4(14.8%). The average time for complete relief of pain was 1.3 weeks and 7.6 weeks, respectively for OR and ER groups. No complication was noted in either group. Conclusion : This preliminary analysis suggests that faster relief of pain was achieved when the endoscopic method was used, although there were no significant differences in their efficacies regarding the improvement of symptoms.

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