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Characteristics as Pulp and Papermaking Resources of Paper-mulberry (B. kazinoki) woods in Jeolla-do Region with Identically Genetic Marker (유전형질이 동일한 전라도지역 닥나무의 펄프제지 자원으로써의 특성)

  • Jo, Ah Hyeon;Go, In Hee;Jang, Kyung Ju;Park, Kyu Tae;Park, Sun Mi;Park, Seon Joo;Jeong, Seon Hwa
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2019.04a
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    • pp.67-67
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    • 2019
  • 뽕나무과(Moraceae) 닥나무속(Broussonetia)의 품종에 대한 국내 연구동향으로는 잎의 성상이나 암꽃의 포길이, 엽신의 폭과 같은 수목학 분수학적 관점으로 특징을 파악하기 때문에 구분이 어려운 실정이다. 또한 닥나무(Broussonetia kazinoki Siebold)와 꾸지나무[Broussonetia papyrifera (L.) $L^{\prime}H{\acute{e}}r.$ ex Vent.]의 수목학적 특징이 유사하여 오동정의 사례가 발생하기도 한다. 닥나무의 향명은 다양하게 불리지만 그 분류기준은 명확하지 않다. 본 연구에서는 총 4개 마커(ITS, matK, trnL-F, ndhF)의 염기서열 분석과 분자계통학적 분류를 통해 닥나무와 꾸지나무의 교잡종으로 확인된 전라도지역 닥나무 8개체에 대하여 펄프제지 자원으로써의 특성을 확인하였다. 8개체 인피섬유의 형태학적 특징인 섬유장, 섬유폭, 섬유 내강(Lumen)폭을 통해 Runkel ratio, Slenderness ratio, Flexibility coefficient, Rigidity coefficient를 도출하고 종이의 기계적 강도, 내절도와의 상관관계, 섬유와 섬유간의 결합력 등을 예측하였다. 상기와 같은 연구결과는 유전형질이 동일한 전라도지역 닥나무의 형태학적 특성을 통해 펄프제지 공정에 영향을 미칠 수 있는 인자들을 분석 하였다. 이러한 특성에 따라 다양한 품질의 종이를 제조 할 수 있는 기초 자료로 제공될 것이다.

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Validity of the dietary reference intakes for determining energy requirements in older adults

  • Ndahimana, Didace;Go, Na-Young;Ishikawa-Takata, Kazuko;Park, Jonghoon;Kim, Eun-Kyung
    • Nutrition Research and Practice
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    • v.13 no.3
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    • pp.256-262
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    • 2019
  • BACKGROUND/OBJECTIVES: The objectives of this study were to evaluate the accuracy of the Dietary Reference Intakes (DRI) for estimating the energy requirements of older adults, and to develop and validate new equations for predicting the energy requirements of this population group. MATERIALS/METHODS: The study subjects were 25 men and 23 women with a mean age of $72.2{\pm}3.9\;years$ and $70.0{\pm}3.3\;years$, and mean BMI of $24.0{\pm}2.1$ and $23.9{\pm}2.7$, respectively. The total energy expenditure (TEE) was measured by using the doubly labeled water (DLW) method, and used to validate the DRI predictive equations for estimated energy requirements (EER) and to develop new EER predictive equations. These developed equations were cross-validated by using the leave-one-out technique. RESULTS: In men, the DRI equation had a -7.2% bias and accurately predicted the EER (meaning EER values within ${\pm}10%$ of the measured TEE) for 64% of the subjects, whereas our developed equation had a bias of -0.1% and an accuracy rate of 84%. In women, the bias was -6.6% for the DRI equation and 0.2% for our developed equation, and the accuracy rate was 74% and 83%, respectively. The predicted EER was strongly correlated with the measured TEE, for both the DRI equations and our developed equations (Pearson's r = 0.915 and 0.908, respectively). CONCLUSIONS: The DRI equations provided an acceptable prediction of EER in older adults and these study results therefore support the use of these equations in this population group. Our developed equations had a better predictive accuracy than the DRI equations, but more studies need to be performed to assess the performance of these new equations when applied to an independent sample of older adults.

A Study on the prediction of BMI(Benthic Macroinvertebrate Index) using Machine Learning Based CFS(Correlation-based Feature Selection) and Random Forest Model (머신러닝 기반 CFS(Correlation-based Feature Selection)기법과 Random Forest모델을 활용한 BMI(Benthic Macroinvertebrate Index) 예측에 관한 연구)

  • Go, Woo-Seok;Yoon, Chun Gyeong;Rhee, Han-Pil;Hwang, Soon-Jin;Lee, Sang-Woo
    • Journal of Korean Society on Water Environment
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    • v.35 no.5
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    • pp.425-431
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    • 2019
  • Recently, people have been attracting attention to the good quality of water resources as well as water welfare. to improve the quality of life. This study is a papers on the prediction of benthic macroinvertebrate index (BMI), which is a aquatic ecological health, using the machine learning based CFS (Correlation-based Feature Selection) method and the random forest model to compare the measured and predicted values of the BMI. The data collected from the Han River's branch for 10 years are extracted and utilized in 1312 data. Through the utilized data, Pearson correlation analysis showed a lack of correlation between single factor and BMI. The CFS method for multiple regression analysis was introduced. This study calculated 10 factors(water temperature, DO, electrical conductivity, turbidity, BOD, $NH_3-N$, T-N, $PO_4-P$, T-P, Average flow rate) that are considered to be related to the BMI. The random forest model was used based on the ten factors. In order to prove the validity of the model, $R^2$, %Difference, NSE (Nash-Sutcliffe Efficiency) and RMSE (Root Mean Square Error) were used. Each factor was 0.9438, -0.997, and 0,992, and accuracy rate was 71.6% level. As a result, These results can suggest the future direction of water resource management and Pre-review function for water ecological prediction.

Processing and Quality Control of Big Data from Korean SPAR (Soil-Plant-Atmosphere-Research) System (한국형 SPAR(Soil-Plant-Atmosphere-Research) 시스템에서 대용량 관측 자료의 처리 및 품질관리)

  • Sang, Wan-Gyu;Kim, Jun-Hwan;Shin, Pyong;Baek, Jae-Kyeong;Seo, Myung-Chul
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.22 no.4
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    • pp.340-345
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    • 2020
  • In this study, we developed the quality control and assurance method of measurement data of SPAR (Soil-Plant-Atmosphere-Research) system, a climate change research facility, for the first time. It was found that the precise processing of CO2 flux data among many observations were sig nificantly important to increase the accuracy of canopy photosynthesis measurements in the SPAR system. The collected raw CO2 flux data should first be removed error and missing data and then replaced with estimated data according to photosynthetic lig ht response curve model. Comparing the correlation between cumulative net assimilation and soybean biomass, the quality control and assurance of the raw CO2 flux data showed an improved effect on canopy photosynthesis evaluation by increasing the coefficient of determination (R2) and lowering the root mean square error (RMSE). These data processing methods are expected to be usefully applied to the development of crop growth model using SPAR system.

The research of transmission delay reduction for selectively encrypted video transmission scheme on real-time video streaming (실시간 비디오 스트리밍 서비스를 위한 선별적 비디오 암호화 방법의 전송지연 저감 연구)

  • Yoon, Yohann;Go, Kyungmin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.4
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    • pp.581-587
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    • 2021
  • Real-time video streaming scheme for multimedia content delivery and remote conference services is one of technologies that are significantly sensitive to data transmission delay. Recently, because of COVID-19, real-time video streaming contents for the services are significantly increased such as personal broadcasting and remote school class. In order to support the services, there is a growing emphasis on low transmission delay and secure content delivery, respectively. Therefore, our research proposed a packet aggregation algorithm to reduce the transmission delay of selectively encrypted video transmission for real-time video streaming services. Through the application of the proposed algorithm, the selectively encrypted video framework can control the amount of MPEG-2 TS packets for low latency transmission with a consideration of packet priorities. Evaluation results on testbed show that the application of the proposed algorithm to the video framework can reduce approximately 11% of the transmission delay for high and low resolution video.

Awareness and its improvement to patients with mental and behavioral disorders of paramedic students (응급구조(학)과 학생들의 정신 및 행동장애 환자에 관한 인식과 개선방안)

  • Su-A, Choi;Go-Eun, Choi;Ji-Hye, Kang;Keun-Ja, Cho
    • The Korean Journal of Emergency Medical Services
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    • v.26 no.3
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    • pp.105-119
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    • 2022
  • Purpose: This study was attempted to identify the awareness of paramedic students to patients with mental and behavioral disorders and suggest its improvement measures. Methods: Data were collected from the paramedic students after consent to this study through online. The period of data collection was from May 18 to August 1, 2022 and 120 questionnaires were analyzed using SPSS statistics 28.0. Results: The level of prejudice of subjects showed 2.73 points and their level of discrimination showed 2.52 points. There was statistically significant difference according to gender, grade, experience of field practice, reason for major selection etc. in prejudice and discrimination levels. There was statistically significant difference according to contact experience to patients, contact place, taking subjects etc. in prejudice and discrimination levels. The high correlation showed between total prejudice and discrimination (r=.853, p<.001). The improvement measures of an awareness about patients were positive role of mass media, better educational contents etc. Conclusion: Paramedic students need to treat patients with mental and behavioral disorders without prejudice and discrimination. Therefore, it needed to develop and apply the various educational programs for paramedic students to be able to improve an awareness about patients with positive role of mass media about them.

Profiling Bartonella infection and its associated risk factors in shelter cats in Malaysia

  • Nurul Najwa Ainaa Alias;Sharina Omar;Nur Indah Ahmad;Malaika Watanabe;Sun Tee Tay;Nor Azlina Aziz;Farina Mustaffa-Kamal
    • Journal of Veterinary Science
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    • v.24 no.3
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    • pp.38.1-38.12
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    • 2023
  • Background: Poor disease management and irregular vector control could predispose sheltered animals to disease such as feline Bartonella infection, a vector-borne zoonotic disease primarily caused by Bartonella henselae. Objectives: This study investigated the status of Bartonella infection in cats from eight (n = 8) shelters by molecular and serological approaches, profiling the CD4:CD8 ratio and the risk factors associated with Bartonella infection in shelter cats. Methods: Bartonella deoxyribonucleic acid (DNA) was detected through polymerase chain reaction (PCR) targeting 16S-23S rRNA internal transcribed spacer gene, followed by DNA sequencing. Bartonella IgM and IgG antibody titre, CD4 and CD8 profiles were detected using indirect immunofluorescence assay and flow cytometric analysis, respectively. Results: B. henselae was detected through PCR and sequencing in 1.0% (1/101) oral swab and 2.0% (1/50) cat fleas, while another 3/50 cat fleas carried B. clarridgeiae. Only 18/101 cats were seronegative against B. henselae, whereas 30.7% (31/101) cats were positive for both IgM and IgG, 8% (18/101) cats had IgM, and 33.7% (34/101) cats had IgG antibody only. None of the eight shelters sampled had Bartonella antibody-free cats. Although abnormal CD4:CD8 ratio was observed in 48/83 seropositive cats, flea infestation was the only significant risk factor observed in this study. Conclusions: The present study provides the first comparison on the Bartonella spp. antigen, antibody status and CD4:CD8 ratio among shelter cats. The high B. henselae seropositivity among shelter cats presumably due to significant flea infestation triggers an alarm of whether the infection could go undetectable and its potential transmission to humans.

Phase Equilibrium Study on the Ternary System of SBR/EPDM/Solvent (SBR, EPDM 및 Solvent로 이루어진 삼성분계의 상 평형에 관한 연구)

  • Go, Jin-Hwan;Park, Byung-Ho
    • Elastomers and Composites
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    • v.37 no.4
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    • pp.211-216
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    • 2002
  • The polymer-polymer interaction parameter, x 23t, of the styrene-butadiene polymer (SBR) and ethylene-propylene-diene terpolymer (EPDM) was investigated by observing the phase behavior of the ternary system of SBR/EPDM/solvent. The solvent used in this study was benzene acting as a good solvent for SBR but as a poor solvent for EPDM. Ternary solutions with various concentrations and mixing ratios of the two component polymers were separated into two phases by temperature change The cloud point curves (CPC) showed that the differerence of solvent affinities toward each polymer and the repulsive interaction between two polymers considerably affect the shape of CPC near 15℃. In the temperature range of 5℃ ~ 25℃, incompatible behaviours arised from both the difference of mixing ratios and concentration were clearly observed. Also the phase separation temperature greatly influenced on the composition of each separated phase. The calculated x 23t values from Flory-Huggins theory were in the range of 0.6301 ~ 1.0775, which suggest that the SBR/EPDM systems are incompatible.

The Specific Gene Characteristics of Chloroplast Genome in Viola (제비꽃종류에서 나타나는 엽록체 DNA 게놈의 특이 유전자 특징)

  • Ah-reum Go;Ki-Oug Yoo
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2023.04a
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    • pp.19-19
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    • 2023
  • 제비꽃속 34분류군의 61개체를 대상으로 엽록체 DNA 게놈 특이 유전자의 특징을 알아보고자 하였다. 61개체의 엽록체 게놈 전체 길이는 155,535~158,940 bp 로 모두 전형적인 사분할 구조였다. 지역별로는 LSC 지역이 84,826~87,250 bp, SSC 지역이 16,338~18,654 bp, 그리고 IR 지역이 26,029~27,192 bp 였다. 유전자 개수는 131개로 84개 protein coding-gene, 37개 tRNA 유전자, 8개 rRNA유전자, 그리고 2개의 유사유전자인 𝜓rps19, 𝜓ycf1으로 구성되어 있었다. LSC/IRa 경계에 위치한 rps19 유전자 길이는 279 bp로 모든 분류군에서 동일하였으며, 𝜓rps19의 길이는 다양했으나 유전자 개수에는 영향을 미치지 않았다. SSC/IRb 경계에 위치한 ycf1 유전자 길이는 약 5,600 bp 였으나, V. japonica (MZ151699) 1개체에서는 다른 종에 비해 약 1,000 bp 위치에서 발생한 점돌연변이로 인해 종결 코돈이 나타나는 특징을 보였다. 한편 13분류군의 23개체에서는 𝜓ycf1의 길이가 650 bp 정도 짧은 것을 확인하였는데, 이 종류들은 원예종인 V. tricolor (ON262802) 이외에는 모두 줄기가 없는 분류군들로 IR 지역의 확장과 SSC 지역의 수축에 의한 것으로 판단된다. ndhF는 대체로 SSC 지역에 위치하나, V. inconspicua (MZ065354), V. mongolica (MW802534, ON548135), V. yunnanfuensis (MW802541) 등 4개체에서는 IRa/SSC 경계에 위치하면서 유사유전자가 발생하였고, 그 결과 다른 제비꽃 종류에 비해 유전자 개수가 132개로 차이를 보였다. 또한, V. collina (OP271831), V. mirabilis (MH256000), V. tricolor (ON262802) 등 3분류군에서는 SSC 지역이 inversion 되어 엽록체 이성질체가 존재함을 확인하였다. 이상의 결과를 종합하면, 제비 꽃속 엽록체 게놈 61개체의 ycf1, 𝜓ycf1, ndhF, 𝜓ndhF 등은 유전자 길이와 개수 등에 차이를 보이는 것으로 나타났으며, 제비꽃속에서도 엽록체 이성질체가 존재함을 확인할 수 있었다.

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The Complete Chloroplast DNA Sequences of Viola selkirkii (뫼제비꽃(Viola selkirkii)의 엽록체 DNA 염기서열 분석)

  • Ah-Reum Go;Yun-Sun Lee;Kyung-Ah Kim;Kyeong-Sik Cheon;Ki-Oug Yoo
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2020.12a
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    • pp.55-55
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    • 2020
  • 뫼제비꽃(Viola selkirkii)의 엽록체 DNA 염기서열을 차세대염기서열분석법(NGS)을 이용하여 분석하였다. 재료는 강원도 화천군 일산과 제주도 한라산의 2개체를 사용하였다. 분석결과, 염기서열의 길이는 일산의 뫼제비꽃이 156,774 bp (GC content: 36.30%), 한라산의 뫼제비꽃이 157,451 bp(GC content: 36.30%)로 한라산 개체가 길게 분석되었다. 구간별로 LSC(Large single copy)지역은 한라산 개체(85,950 bp)가 일산 개체(85,930 bp)보다 20 bp 길었으며, SSC(Small single copy)지역은 한라산 개체(17,261 bp)보다 일산 개체가 17,982 bp로 길게 분석되었다. IR(Inverted repeat)지역은 한라산 개체가 27,120 bp로 일산 개체(26,431 bp)보다 길게 분석되었다. 이러한 염기서열 길이의 차이는 종내 개체 간 빈번하게 발생하는 현상으로 IGS와 intron 구간에서 확인 된 단순반복서열의 일부 누락과 IR지역 내의 수축과 확장에 의한 것으로 판단된다. 뫼제비꽃 2개체의 엽록체 게놈을 구성하는 유전자 수는 총 111개로 동일하였으며, protein coding gene 77개, tRNA(transfer RNA) gene 30개, 그리고 rRNA (ribosomal RNA) gene 4개로 구성되어 있었다. 이는 기 발표된 엽록체 DNA 전체 염기서열이 밝혀진 제비꽃속 (Viola) 종류들과 동일한 결과이다.

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