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  <channel rdf:about="https://oak.chosun.ac.kr/handle/2020.oak/18709">
    <title>Repository Collection:</title>
    <link>https://oak.chosun.ac.kr/handle/2020.oak/18709</link>
    <description />
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        <rdf:li rdf:resource="https://oak.chosun.ac.kr/handle/2020.oak/18718" />
        <rdf:li rdf:resource="https://oak.chosun.ac.kr/handle/2020.oak/18722" />
        <rdf:li rdf:resource="https://oak.chosun.ac.kr/handle/2020.oak/18716" />
        <rdf:li rdf:resource="https://oak.chosun.ac.kr/handle/2020.oak/18714" />
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    <dc:date>2026-04-09T17:44:04Z</dc:date>
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  <item rdf:about="https://oak.chosun.ac.kr/handle/2020.oak/18718">
    <title>James-Stein Type Estimators Shrinking towards Projection Vector When the Norm is Restricted to an Interval</title>
    <link>https://oak.chosun.ac.kr/handle/2020.oak/18718</link>
    <description>Title: James-Stein Type Estimators Shrinking towards Projection Vector When the Norm is Restricted to an Interval
Author(s): Hoh Yoo Baek; Su Hyang Park
Abstract: Consider the problem of estimating a $p{\times}1$ 수식 이미지 mean vector ${\theta}(p-q{\geq}3)$ 수식 이미지, $q=rank(P_V)$ 수식 이미지 with a projection matrix $P_v$ 수식 이미지 under the quadratic loss, based on a sample $X_1$ 수식 이미지, $X_2$ 수식 이미지, ${\cdots}$ 수식 이미지, $X_n$ 수식 이미지. We find a James-Stein type decision rule which shrinks towards projection vector when the underlying distribution is that of a variance mixture of normals and when the norm ${\parallel}{\theta}-P_V{\theta}{\parallel}$ 수식 이미지 is restricted to a known interval, where $P_V$ 수식 이미지 is an idempotent and projection matrix and rank $(P_V)=q$ 수식 이미지. In this case, we characterize a minimal complete class within the class of James-Stein type decision rules. We also characterize the subclass of James-Stein type decision rules that dominate the sample mean</description>
    <dc:date>2016-12-31T15:00:00Z</dc:date>
  </item>
  <item rdf:about="https://oak.chosun.ac.kr/handle/2020.oak/18722">
    <title>Improved Photovoltaic MATLAB Modeling Accuracy by Adding Wind Speed Effect</title>
    <link>https://oak.chosun.ac.kr/handle/2020.oak/18722</link>
    <description>Title: Improved Photovoltaic MATLAB Modeling Accuracy by Adding Wind Speed Effect
Author(s): Dong-Soon An; Prasis Poudel; Sang-Hyun Bae; Kyung-Woo Park; Bongseog Jang
Abstract: Photovoltaic (PV) are generally modeled using mathematical equations that describe the PV system behavior. Most of the modeling approach is very simple in terms of that PV module temperature is calculated from nominal constant cell temperature such as ambient temperature and incoming solar irradiance. In this paper, we newly present MATLAB model particularly embedding the effect of wind speed to describe more accurate cell temperature. For analyses and validate purpose of the proposed model, solar power is obtained and compared with and without wind speed from the 50Wp PV module provided by vendor datasheet. In the simulation result, we found that power output of the module is increased to 0.37% in terms of cell temperature a degreed down when we consider the wind speed in the model. This result is well corresponded with the well-known fact that normal PV is 0.4% power changed by cell temperature a degree difference. Therefore it shows that our modeling method with wind speed is more appropriate than the methods without the wind speed effect.</description>
    <dc:date>2016-12-31T15:00:00Z</dc:date>
  </item>
  <item rdf:about="https://oak.chosun.ac.kr/handle/2020.oak/18716">
    <title>Homology Modelling of Chemerin like Receptor-1 (CMKLR1) : Potential Target for Treating Type II Diabetes</title>
    <link>https://oak.chosun.ac.kr/handle/2020.oak/18716</link>
    <description>Title: Homology Modelling of Chemerin like Receptor-1 (CMKLR1) : Potential Target for Treating Type II Diabetes
Author(s): Sathya. B
Abstract: Chemerin receptor, which predominantly expressed in immune cells as well as adipose tissue, was found to stimulate chemotaxis of dendritic cells and macrophages to the site of inflammation. Chemerin is a widely distributed multifunctional secreted protein implicated in immune cell migration, adipogenesis, osteoblastogenesis, angiogenesis, myogenesis, and glucose homeostasis. Recent studies suggest chemerin may play an important role in the pathogenesis of obesity and insulin resistance and it becomes a potential therapeutic target for treating type II diabetes. The crystal structure of chemerin receptor has not yet been resolved. Therefore, in the present study, homology modelling of CMKLR1 was done utilizing the crystal structure of human angiotension receptor in complex with inverse agonist olmesartan as the template. Since the template has low sequence identity, we have incorporated both threading and comparative modelling approach to generate the three dimensional structure. 3D models were generated and validated. The reported models can be used to characterize the critical amino acid residues in the binding site of CMKLR1</description>
    <dc:date>2016-12-31T15:00:00Z</dc:date>
  </item>
  <item rdf:about="https://oak.chosun.ac.kr/handle/2020.oak/18714">
    <title>Three Dimensional Structure Prediction of Neuromedin U Receptor Using Homology Modelling</title>
    <link>https://oak.chosun.ac.kr/handle/2020.oak/18714</link>
    <description>Title: Three Dimensional Structure Prediction of Neuromedin U Receptor Using Homology Modelling
Author(s): Santhosh Kumar Nagarajan; Thirumurthy Madhavan
Abstract: Neuromedin U receptor 1 is a GPCR protein which binds with the neuropeptide, neuromedin. It is involved in the regulation of feeding and energy homeostasis and related with immune mediated inflammatory diseases like asthma. It plays an important role in maintaining the biological clock and in the regulation of smooth muscle contraction in the gastrointestinal and genitourinary tract. Analysing the structural features of the receptor is crucial in studying the pathophysiology of the diseases related to the receptor important. As the three dimensional structure of the protein is not available, in this study, we have performed the homology modelling of the receptor using 5 different templates. The models were subjected to model validation and two models were selected as optimal. These models could be helpful in analysing the structural features of neuromedin U receptor 1 and their role in disorders related to them.</description>
    <dc:date>2016-12-31T15:00:00Z</dc:date>
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