• Title/Summary/Keyword: CRF

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Effects of Rice Flours Prepared with Different Milling Methods on Quality of Sulgidduk (제조 방법을 달리한 쌀가루가 설기떡의 품질에 미치는 영향)

  • Park, Jae-Hee
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.43 no.11
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    • pp.1742-1748
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    • 2014
  • This study investigated the quality characteristics of commercial rice flour (CRF) and rice flours prepared by different milling methods for sulgidduk. For particle distribution, dried rice flour after the 1st roll mill using a pin mill showed a particle size of greater than $710{\mu}m$, whereas a particle size less than $250{\mu}m$ accounted for 48% of whole rice flour. This proportion was higher than CRF after the 2nd step roll mill. Crude protein, lipid, and ash contents were significantly highest in 1st roll mill samples. For color, roll & pin made up of many small particles showed a high L value. CRF and roll & pin showed significantly higher starch damage and water-holding capacity, whereas pasting temperature, peak viscosity, and setback of RVA pasting characteristics were lower than 1st roll mill. When rice cakes were made from three kinds of rice flour, roll & pin was not significantly different compared to the CRF. However, rice cakes made with 1st roll milled rice flour showed rough crumb and crust. Rice cake made with roll & pin or CRF showed similar characteristics for texture. In the quantitative descriptive analysis, rice cake made with roll & pin showed better appearance, flavor, taste, texture, and overall acceptability than CRF and 1st roll mill. Therefore, rice flour prepared by roll & pin could be applied to sulgidduk with high quality.

Event-related Potentials of Pre- and Post-Hemodialysis in Patients with Chronic Renal Failure (만성신부전 환자에서 혈액투석 전후의 P300 인지유발전위검사)

  • Bae, Jae-Chun;Lee, Sang-Moo
    • Annals of Clinical Neurophysiology
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    • v.3 no.2
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    • pp.136-142
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    • 2001
  • Background : Nervous system dysfunction is a major complication of end stage renal disease. Although severe neurologic symptoms are partially or completely reversed by adequate hemodialysis, even optimally dialyzed patients will usually not return to normal neurocognitive function. To investigate the influence of chronic renal failure and hemodialysis on higher cognitive function electrophysiologically, we studied auditory P300 event-related potentials in 14 hemodialysis patients and 14 age- and sex-matched normal healthy controls. Methods : The subjects consisted of 14 patients(M: 6, F: 8) with chronic renal failure(CRF) for 1 to 10 years and 14 age- and sex-matched healthy controls(M: 5, F: 9). For the reliability of study, patients with diabetes mellitus, abnormal brain CT findings, or low mini-mental state score(below 20) were excluded. Event related potentials(ERPs) for hemodialysis patients were performed at pre- and post-hemodialysis. To obtain ERPs, subjects underwent 2-tone auditory discrimination test(oddball paradigm). Results : Although the age(control: $48.79{\pm}10.31years$, CRF: $51.21{\pm}7.61years$) and mini-mental state score(control: $27.00{\pm}1.71points$, predialysis CRF: $25.07{\pm}3.58points$) were not different in normal control and CRF groups significantly(P>0.05), P300 latencies at Cz(control: $288.11{\pm}17.36msec$, predialysis CRF: $332.35{\pm}42.34msec$) were significantly delayed(P<0.05)and the duration of Trail making test A was significantly prolonged(control: $64.2{\pm}24.2sec$, CRF: $118.9{\pm}101sec$) in CRF group. P300 latencies between pre- and post-hemodialysis CRF patients(predialysis CRF: $332.35{\pm}42.34msec$, postdialysis CRF: $325.82{\pm}38.69msec$) were not significantly different. The P300 latency was not related with the duration of CRF(Spearman's correlation test, r=0.25, P>0.05) and the frequency of hemodialysis(Spearman's correlation test, r=0.28, P>0.05). Conclusions : From these results, we suggest that P300 latency is valuable in evaluating cognitive brain dysfunction in patients with CRF and hemodialysis does not have a significant effect on cognitive brain dysfunction in patients with CRF.

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Involvement of Corticotropin-releasing Factor Receptor 2β in Differentiation of Dopaminergic MN9D Cells

  • Jin, Tae-Eun;Jang, Miae;Kim, Hyunjung;Choi, Yu Mi;Cho, Hana;Chung, Sungkwon;Park, Myoung Kyu
    • Molecules and Cells
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    • v.26 no.3
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    • pp.243-249
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    • 2008
  • Corticotropin releasing factor (CRF) mediates various responses to stress through CRF receptors 1 and 2. CRF receptor 2 has two forms, $2{\alpha}$ and $2{\beta}$ each of which appears to have distinct roles. Here we used dopaminergic neuron-derived MN9D cells to investigate the function of CRF receptor 2 in dopamine neurons. We found that n-butyrate, a histone deacetylase inhibitor, induced MN9D cell differentiation and increased gene expression of all CRF receptors. CRF receptor $2{\beta}$ was minimally expressed in MN9D cells; however, its expression dramatically increased during differentiation. CRF receptor $2{\beta}$ expression levels appeared to correlate with neurite outgrowth, suggesting CRF receptor $2{\beta}$ involvement in neuronal differentiation. To validate this statement, we made a CRF receptor $2{\beta}$-overexpressing $MN9D/CRFR2{\beta}$ stable cell line. This cell line showed robust neurite outgrowth and GAP43 overexpression, together with MEK and ERK activation, suggesting MN9D cell neuronal differentiation. From these results, we conclude that CRF receptor $2{\beta}$ plays an important role in MN9D cell differentiation by activating the MEK/ERK signaling pathway.

Method to Construct Feature Functions of C-CRF Using Regression Tree Analysis (회귀나무 분석을 이용한 C-CRF의 특징함수 구성 방법)

  • Ahn, Gil Seung;Hur, Sun
    • Journal of Korean Institute of Industrial Engineers
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    • v.41 no.4
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    • pp.338-343
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    • 2015
  • We suggest a method to configure feature functions of continuous conditional random field (C-CRF). Regression tree and similarity analysis are introduced to construct the first and second feature functions of C-CRF, respectively. Rules from the regression tree are transformed to logic functions. If a logic in the set of rules is true for a data then it returns the corresponding value of leaf node and zero, otherwise. We build an Euclidean similarity matrix to define neighborhood, which constitute the second feature function. Using two feature functions, we make a C-CRF model and an illustrate example is provided.

Lexicon Feature Infused Character-Based LSTM CRFs for Korean Named Entity Recognition (문자 기반 LSTM-CRF 한국어 개체명 인식을 위한 사전 자질 활용)

  • Min, Jin-Woo;Na, Seung-Hoon
    • 한국어정보학회:학술대회논문집
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    • 2016.10a
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    • pp.99-101
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    • 2016
  • 문자 기반 LSTM CRF는 개체명 인식에서 높은 인식을 보여주고 있는 LSTM-CRF 방식에서 미등록어 문제를 해결하기 위해 단어 단위의 임베딩 뿐만 아니라 단어를 구성하는 문자로부터 단어 임베딩을 합성해 내는 방식으로 기존의 LSTM CRF에서의 성능 향상을 가져왔다. 한편, 개체명 인식에서 어휘 사전은 성능향상을 위한 외부 리소스원으로 활용하고 있는데 다양한 사전 매칭 방법이 파생될 수 있음에도 이들 자질들에 대한 비교 연구가 이루어지지 않았다. 본 논문에서는 개체명 인식을 위해 다양한 사전 매칭 자질들을 정의하고 이들을 LSTM-CRF의 입력 자질로 활용했을 때의 성능 비교 결과를 제시한다. 실험 결과 사전 자질이 추가된 LSTM-CRF는 ETRI 개체명 말뭉치의 학습데이터에서 F1 measure 기준 최대 89.34%의 성능까지 달성할 수 있었다.

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Lexicon Feature Infused Character-Based LSTM CRFs for Korean Named Entity Recognition (문자 기반 LSTM-CRF 한국어 개체명 인식을 위한 사전 자질 활용)

  • Min, Jin-Woo;Na, Seung-Hoon
    • Annual Conference on Human and Language Technology
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    • 2016.10a
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    • pp.99-101
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    • 2016
  • 문자 기반 LSTM CRF는 개체명 인식에서 높은 인식을 보여주고 있는 LSTM-CRF 방식에서 미등록어 문제를 해결하기 위해 단어 단위의 임베딩 뿐만 아니라 단어를 구성하는 문자로부터 단어 임베딩을 합성해 내는 방식으로 기존의 LSTM CRF에서의 성능 향상을 가져왔다. 한편, 개체명 인식에서 어휘 사전은 성능 향상을 위한 외부 리소스원으로 활용하고 있는데 다양한 사전 매칭 방법이 파생될 수 있음에도 이들 자질들에 대한 비교 연구가 이루어지지 않았다. 본 논문에서는 개체명 인식을 위해 다양한 사전 매칭 자질들을 정의하고 이들을 LSTM-CRF의 입력 자질로 활용했을 때의 성능 비교 결과를 제시한다. 실험 결과 사전 자질이 추가된 LSTM-CRF는 ETRI 개체명 말뭉치의 학습데이터에서 F1 measure 기준 최대 89.34%의 성능까지 달성할 수 있었다.

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Experimental Study on the Unsteady Flow Characteristics for the Counter-Rotating Axial Flow Fan

  • Cho, L.S.;Lee, S.W.;Cho, J.S.;Kang, J.S.
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2008.03a
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    • pp.790-798
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    • 2008
  • Counter-rotating axial flow fan(CRF) consists of two counter-rotating rotors without stator blades. CRF shows the complex flow characteristics of the three-dimensional, viscous, and unsteady flow fields. For the understanding of the entire core flow in CRF, it is necessary to investigate the three-dimensional unsteady flow field between the rotors. This information is also essential to improve the aerodynamic characteristics and to reduce the aerodynamic noise level and vibration characteristics of the CRF. In this paper, experimental study on the three-dimensional unsteady flow of the CRF is performed at the design point(operating point). Flow fields in the CRF are measured at the cross-sectional planes of the upstream and downstream of each rotor using the $45^{\circ}$ inclined hot-wire. The phase-locked averaged hot-wire technique utilizes the inclined hot-wire, which rotates successively with 120 degree increments about its own axis. Three-dimensional unsteady flow characteristics such as tip vortex, secondary flow and tip leakage flow in the CRF are shown in the form of the axial, radial and tangential velocity vector plot and velocity contour. The phase-locked averaged velocity profiles of the CRF are analyzed by means of the stationary unsteady measurement technique. At the mean radius of the front rotor inlet and the outlet, the phase-locked averaged velocity profiles show more the periodical flow characteristics than those of the hub region. At the tip region of the CRF, the axial velocity is decreased due to the boundary layer effect of the fan casing and the tip vortex flow. The radial and the tangential velocity profiles show the most unstable and unsteady flow characteristics compared with other position of rotors. But, the phase-locked averaged velocity profiles of the downstream of the rear rotor show the aperiodic flow pattern due to the mixture of the front rotor wake period and the rear rotor rotational period.

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Korean Spatial Information Extraction using Bi-LSTM-CRF Ensemble Model (Bi-LSTM-CRF 앙상블 모델을 이용한 한국어 공간 정보 추출)

  • Min, Tae Hong;Shin, Hyeong Jin;Lee, Jae Sung
    • The Journal of the Korea Contents Association
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    • v.19 no.11
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    • pp.278-287
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    • 2019
  • Spatial information extraction is to retrieve static and dynamic aspects in natural language text by explicitly marking spatial elements and their relational words. This paper proposes a deep learning approach for spatial information extraction for Korean language using a two-step bidirectional LSTM-CRF ensemble model. The integrated model of spatial element extraction and spatial relation attribute extraction is proposed too. An experiment with the Korean SpaceBank demonstrates the better efficiency of the proposed deep learning model than that of the previous CRF model, also showing that the proposed ensemble model performed better than the single model.

Named Entity Recognition based on CRF reflecting relative weight (상대적 가중치 자질을 반영한 CRF 기반의 개체명 인식)

  • Jeong, Jin-Wook
    • Annual Conference on Human and Language Technology
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    • 2017.10a
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    • pp.338-339
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    • 2017
  • 본 논문은 개체명 인식을 위해 CRF 모델을 이용해 분류를 수행했다. 개체명 후보를 개체명으로 식별에서 중의성 문제가 필요하다. 본 논문에서는 이러한 중의성 문제 해결을 위해 학습 셋으로부터 패턴과 형태적 특성을 고려해 개체명 후보를 최대로 선택하고 선택된 개체명 후보의 중의성과 정확도를 높이기 위해 주변의 문맥 자질과 분별 확률 모델인 CRF를 이용해 중의성 문제를 해결한다.

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Analysis of Seed Germinating Vigor, Germination Speed and Peak Time in 9 Fescues under Alternative and Natural Conditions at the Room Temperature (자연 실온 및 변온 환경에서 광엽 및 세엽 훼스큐 9종류의 종자 발아력, 발아세 및 발아 피크 기간 분석)

  • Kim, Kyoung-Nam
    • Weed & Turfgrass Science
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    • v.6 no.3
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    • pp.235-248
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    • 2017
  • This study was initiated to investigate seed germinating vigor, germination speed, and establishment characteristics of Festuca species under natural conditions ($5-25^{\circ}C$). Germination rate was 62.0% in CRF 'Audubon' to 97.0% in TF 'Olympic Gold'. It was greater with TF over fine-type fescues, being TF>SF>CF, HF>CRF. The germination speed, measured as days to seed germination of 50% through 80%, was fastest with TF, medium to high with CF, medium with HF and SF, and slowest with CRF. However, it was approximately 4 days slower under natural conditions, as compared with that under alternative conditions ($15-25^{\circ}C$). Germination peak time was much faster with TF. It ranged from 0.73 to 1.84 days with TF, being 1.45 days in average. But it varied with 2.16 to 11.75 days among fine-type species. The peak time was longer in order of SFCF>SF>HF>CRF.