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Study on Development of Herbal Feed Supplement for Ducks

  • Seo, Min-Jun;Lee, Jong-Hyun;Jin, Jong-Sik;Park, Jin-Han;Lee, Jun-Ho
    • Journal of Evidence-Based Herbal Medicine
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    • v.2 no.1
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    • pp.19-24
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    • 2009
  • GD68 is newly developed herb complex prescription. The constituent herbs of GD68 were Massa Medicata Fermentata, Atractylodis Rhizoma Alba, Poria, Zingiberis Siccatum Rhizoma, Crataegi Fructus, Saccarum Granorum, Agastachis Herba, Taraxaci Herba, Perillae Herba, Scutellariae Radix, Astragali Radix, Ginseng Radix, Houttuyniae Herba and Halloysitum Rubrum. The aim of this study was to examine feed value of GD68 in duck. The weight gain of ducks fed with supplemental GD68 high compared to those of the control. The feed intake and mortality of ducks fed with supplemental GD68 low compared to those of the control. The moisture, crude lipid and calorie content of the ducks fed GD68 were decreased, but the crude protein content of the ducks fed GD68 was increased. And we investigated the effect of GD68 on the production of cytokines in human T-cell line, MOLT-4 cells. GD68 plus concanavalin A (Con A) increased the interferon-$\gamma$ and interleukin-2 production compared with Con A alone. These results indicate that the supplemental GD68 may improve the production, meat quality and immunity of ducks.

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In vitro Antioxidant and Cytoprotective Activities of the Extract of Dangyuja (Citrus grandis Osbeck) Leaves

  • Kim, Yun-Jung;Cho, Moon-Jae;Kim Cho, So-Mi
    • Food Science and Biotechnology
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    • v.17 no.5
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    • pp.1086-1091
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    • 2008
  • The antioxidant activities of the extracts of dangyuja (Citrus grandis Osbeck) leaves were evaluated. The highest phenolic content was obtained from the ethyl acetate fraction (EF) (202.1$\pm$0.8 mg GAE/g dried extract) and it exhibited the highest 1,1-diphenyl-2-picrylhydrazyl (DPPH) free radical scavenging activity. The cytoprotective effects of EF on oxidative damage induced by tert-butyl hydroperoxide (t-BHP) in a human hepatoma cell line, HepG2 cells, were investigated to understand the intracellular antioxidant mechanisms. Treatment of HepG2 cells with EF prior to oxidative stress was found to inhibit reactive oxygen species (ROS) generation, lipid peroxidation, and DNA damage in a dose-dependent manner. Gas chromatography-mass spectrometry (GC-MS) studies on EF resulted in tentative identification of 19 compounds representing 94.3% of the total content. Taken together, these results demonstrated that EF has excellent antioxidant activities and thus dangyuja leaves have great potential as a source for natural antioxidant which can be applied in food products.

An asymptotic analysis of the Taylor-Proudman flow in a rapidly-rotating compressible fluid (압축성 회전유체에서 발생하는 Taylor-Proudman 유동에 대한 점근해석)

  • Park Jun Sang;Hyun Jae Min
    • Proceedings of the KSME Conference
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    • 2002.08a
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    • pp.341-344
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    • 2002
  • A matched asymptotic analysis is conducted for a compressible rotating flow in a cylindrical container when a mechanical and/or a thermal disturbance is imposed on the wall. The system Ekman number is assumed to be very small. The conditions for the Taylor-Proudman column in the interior, which were also given in the companion paper Park & Hyun, 2002) by means of the energy balancing analysis, have been re-derived. The concept of the variable, the energy content $e[{\equiv}T+2 {\alpha}^2 {\gamma}{\nu}]$, is reformulated, and its effectiveness in characterizing the energy transport mechanism is delineated. It is seen that, under the condition of the Taylor-Proudman column, numerous admissible theoretical solutions for interior flow exist with an associated wail boundary condition. Some canonical examples are illustrated with comprehensive physical descriptions. The differential heating problem on the top and bottom endwall disks is revisited by using the concept of the energy content. The results are shown to be in line with the previous findings.

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Evaluzation of Model equation Predicting Roll Force and Roll Power during Hot Rolling (열간압연중 압연하중 및 압연동력 예측 모델)

  • 곽우진;황상무
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 1999.08a
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    • pp.308-312
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    • 1999
  • Developed the model equations which calculate roll force, roll power during hot rolling in real time. The variables which mainly effect on the roll force, roll power are shape factor, reduction, roll diameter, roll velocity, strip inlet temperature, carbon content of strip and strip-roll contact friction coefficient. Among these variables roll diameter, roll velocity, inlet temperature, carbon content and friction coefficient can be excluded in interpolated model equation by introducing equation of die force(F'), power(p') of the frictionless uniform plane strain compression which can be calculated without iteration. At the case of coulomb friction coefficient of 0.3, we evaluated coefficient of polynomial equations of {{{{ { F} over {F' } }}}}, {{{{ { Pf} over {Pd }, { Pd} over {P' } }}}} from the result of finite element analysis using interpolation. It was found that the change of values of {{{{ { F} over {F' }, { P} over {P' } }}}} with the friction coefficient tend to straight line which slope depend only on shape factor. With these properties, developed model equations could be extended to other values of coulomb friction coefficient. To verify developed roll force, roll power model equation we compared the results from these model equation with the results from these model equation with the results from finite element analysis in factory process condition.

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Feature Extraction of Shape of Image Objects in Content-based Image Retrieval (내용기반으로한 이미지 검색에서 이미지 객체들의 외형특징추출)

  • Cho, June-Suh
    • The KIPS Transactions:PartB
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    • v.10B no.7
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    • pp.823-828
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    • 2003
  • The main objective of this paper is to provide a methodology of feature extraction using shape of image objects for content-based image retrieval. The shape of most real-life objects is irregular, and hence there is no universal approach to quantify the shape of an arbitrary object. In particular. electronic catalogs contain many image objects for their products. In this paper, we perform feature extraction based on individual objects in images rather than on the whole image itself, since our method uses a shape-based approach of objects using RLC lines within an image. Experiments show that shape parameters distinctly represented image objects and provided better classification and discrimination among image objects in an image database compared to Texture.

The status of metaverse and digital twin technology development

  • CHUNG, Myung-Ae;KIM, Kyung-A;KANG, Min-Soo
    • Korean Journal of Artificial Intelligence
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    • v.10 no.2
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    • pp.19-24
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    • 2022
  • Metaverse refers to a world that transcends reality. Metaverse is a compound word of meta (transcendence) and universe (universe). The impact of the corona pandemic has provided an opportunity to rapidly grow the metaverse based on realistic content along with online and non-face-to-face environments. Various content and service platforms reflecting the concepts of metaverse and digital twin are rapidly spreading around the world in line with the pandemic situation. As their needs accelerate in response to the COVID-19 situation, the technology of metaverse and digital twin is attracting attention again as an indispensable condition for business, culture and art, national industry, and public services. In particular, the metaverse requires the balanced development of ecosystem components based on various advanced convergence technologies. In this paper, the concept of metaverse and digital twin, types of platforms, and development status are examined, and trends of key element technologies are investigated and analyzed. As these key element technologies, XR sensory technology, avatar technology, and other XR devices and parts were examined. Through this, we want to clearly pinpoint the direction in which the metaverse will develop through future technologies, services, and follow-up research.

Development of Dynamic Vehicle Service Simulation Tool based on Node-RED (Node-RED 기반 동적 차량 서비스 시뮬레이션 툴 개발)

  • Ryu, Minwoo;Lee, Jongeon;Cha, Si-Ho
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.18 no.4
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    • pp.77-83
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    • 2022
  • As users' needs for customized services increase, the service provision method is changing from a vertical structural service provision method to a horizontal structural service provision method. This paradigm shift has led to a change from the way existing users find the content they want to find and provide customized needs of users by content providers. With the recent development of smartphones and various AI technologies, demand for providing seamless services such as smartphones is increasing in automobiles. However, it is difficult to provide services in line with changes in this service paradigm because automobile services provide services centered on finished car manufacturers rather than individually providing services tailored to user needs. In this paper, we develop a Node-RED-based dynamic vehicle service simulation tool so that users can use the service they want in cars. The simulation tool developed provides a simulation environment for services authored by the user using NodeRed by writing, registering, and using NodeRed.

Application of ChatGPT text extraction model in analyzing rhetorical principles of COVID-19 pandemic information on a question-and-answer community

  • Hyunwoo Moon;Beom Jun Bae;Sangwon Bae
    • International journal of advanced smart convergence
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    • v.13 no.2
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    • pp.205-213
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    • 2024
  • This study uses a large language model (LLM) to identify Aristotle's rhetorical principles (ethos, pathos, and logos) in COVID-19 information on Naver Knowledge-iN, South Korea's leading question-and-answer community. The research analyzed the differences of these rhetorical elements in the most upvoted answers with random answers. A total of 193 answer pairs were randomly selected, with 135 pairs for training and 58 for testing. These answers were then coded in line with the rhetorical principles to refine GPT 3.5-based models. The models achieved F1 scores of .88 (ethos), .81 (pathos), and .69 (logos). Subsequent analysis of 128 new answer pairs revealed that logos, particularly factual information and logical reasoning, was more frequently used in the most upvoted answers than the random answers, whereas there were no differences in ethos and pathos between the answer groups. The results suggest that health information consumers value information including logos while ethos and pathos were not associated with consumers' preference for health information. By utilizing an LLM for the analysis of persuasive content, which has been typically conducted manually with much labor and time, this study not only demonstrates the feasibility of using an LLM for latent content but also contributes to expanding the horizon in the field of AI text extraction.

Statistical Analysis of Protein Content in Wheat Germplasm Based on Near-infrared Reflectance Spectroscopy (밀 유전자원의 근적외선분광분석 예측모델에 의한 단백질 함량 변이분석)

  • Oh, Sejong;Choi, Yu Mi;Yoon, Hyemyeong;Lee, Sukyeung;Yoo, Eunae;Hyun, Do Yoon;Shin, Myoung-Jae;Lee, Myung Chul;Chae, Byungsoo
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.64 no.4
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    • pp.353-365
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    • 2019
  • A near-infrared reflectance spectroscopy (NIRS) prediction model was set to establish a rapid analysis system of wheat germplasm and provide statistical information on the characteristics of protein contents. The variability index value (VIV) of calibration resources was 0.80, the average protein content was 13.2%, and the content range was from 7.0% to 13.2%. After measuring the near-infrared spectra of calibration resources, the NIRS prediction model was developed through a regression analysis between protein content and spectra data, and then optimized by excluding outliers. The standard error of calibration, R2, and the slope of the optimized model were 0.132, 0.997, and 1.000 respectively, and those of external validation results were 0.994, 0.191, and 1.013, respectively. Based on these results, a developed NIRS model could be applied to the rapid analysis of protein in wheat. The distribution of NIRS protein content of 6,794 resources were analyzed using a normal distribution analysis. The VIV was 0.79, the average protein was 12.1%, and the content range of resources accounting for 42.1% and 68% of the total accessions were 10-13% and 9.5-14.6%, respectively. The composition of total resources was classified into breeding line (3,128), landrace (2,705), and variety (961). The VIV in breeding line was 0.80, the protein average was 11.8%, and the contents of 68% of total resources ranged from 9.2% to 14.5%. The VIV in landrace was 0.76, the protein average was 12.1%, and the content range of resources of 68% of total accessions was 9.8-14.4%. The VIV in variety was 0.80, the protein average was 12.8%, and the accessions representing 68% of total resources ranged from 10.2% to 15.4%. These results should be helpful to the related experts of wheat breeding.

Effects of Dietary Pine Cone Meal on Egg Production, Egg Quality, Serum Cholesterol and Cholesterol Content and Fatty Acid Composition of Egg Yolk in Laying Hens (산란계 사료 내 잣 부산물의 첨가가 산란율, 계란 품질, 혈청 콜레스테롤 및 난황 내 총 콜레스테롤과 지방산 함량에 미치는 영향)

  • Lee, J.H.;Kim, K.S.;Shin, S.O.;Cho, J.H.;Chen, Y.J.;Kim, I.H.
    • Korean Journal of Poultry Science
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    • v.34 no.3
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    • pp.223-229
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    • 2007
  • This study was conducted to evaluate effects of dietary pine cone meal on egg production, egg quality, serum cholesterol and cholesterol content and fatty acid composition of egg yolk in laying hens. The total of 252 (51-wks) Hy-line brown commercial hens were used for 5 weeks. Dietary treatments included 1) T1 (basal diet + 1% cottonwood sawdust), 2) T2 (basal diet + 0.5% cottonwood sawdust + 0.5% pine cone meal) and 3) T3 (basal diet + 1% pine cone meal). During the overall period, there was no significant difference in egg production, egg weight and egg quality among the treatments. Lipids profile(total, HDL, LDL cholesterol and triglyceride) in serum was not affected by treatments. Egg yolk cholesterol was not significantly different among the treatments. In fatty acid contents of yolk, C18:3 was higher in T1 treatment than T3 treatment(P<0.05). Total SFA, PUFA, MUFA and UFA/SFA were not significantly different in experimental period. In conclusion, dietary supplementation of pine cone meal affected C18:3 fatty acid content of yolk in laying hens, without any adverse effect on egg production.