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  1. Article: MooPoong (Gye Young Jeong) increases HDL-cholesterol but decreases LDL cholesterol and body-weight.

    Chung, Hwan-Suck / Hong, Seung-Heon / Do, Keum-Rok / Rhee, Hyung-Koo / Jung, Sung-Ki / Hwang, Woo-Jun / Kim, Hyung-Min

    Immunopharmacology and immunotoxicology

    2004  Volume 26, Issue 2, Page(s) 225–232

    Abstract: MooPoong (MP, Gye Young Jeong), a Korean traditional wine, has been used as a prevention and ...

    Abstract MooPoong (MP, Gye Young Jeong), a Korean traditional wine, has been used as a prevention and treatment agent of blood circulatory trouble. To evaluate such an effect of MP, we analyzed whether the plasma levels of low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and body weight change after rats were fed on high fat diet with MP for 8 weeks. Plasma LDL cholesterol level decreased by 5.6% in 0.128% MP treated group and by 11.1% in 0.640% MP treated group. However, HDL cholesterol was increased by 6.7% in 0.128% MP diet group and 33.3% in 0.640% MP diet group. In addition, there was a significant weight loss in the MP treated group compared with the high-fat diet group (P < 0.05). Our findings indicate that MP may contain compounds with actions which can treat blood circulatory trouble as well as overweight.
    MeSH term(s) Alanine Transaminase/blood ; Animals ; Aspartate Aminotransferases/blood ; Body Weight ; Cholesterol, HDL/blood ; Cholesterol, LDL/blood ; Dietary Fats/administration & dosage ; Korea ; Male ; Rats ; Rats, Sprague-Dawley ; Weight Gain ; Wine
    Chemical Substances Cholesterol, HDL ; Cholesterol, LDL ; Dietary Fats ; Aspartate Aminotransferases (EC 2.6.1.1) ; Alanine Transaminase (EC 2.6.1.2)
    Language English
    Publishing date 2004-06-09
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 807033-7
    ISSN 1532-2513 ; 0892-3973
    ISSN (online) 1532-2513
    ISSN 0892-3973
    DOI 10.1081/iph-120037718
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1481: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  2. Book: Gyo yug gwa jeong tam gu

    I, Hong u / Yi, Hong-u

    1995  

    Title variant Kyoyuk kwajŏng t'amgu
    Author's details I Hong u
    Keywords Education/Curricula
    Language Korean
    Size 551 S, Ill, 24 cm
    Edition Jeung bo6pan
    Publisher Bag yeong sa
    Publishing place Seo ul
    Document type Book
    Note Includes bibliographical references and indexes
    ISBN 8910650060 ; 9788910650065
    Database Former special subject collection: coastal and deep sea fishing

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  3. Article ; Online: Author Correction: Regulation of myogenesis and adipogenesis by the electromagnetic perceptive gene.

    Hwang, Jangsun / Jung, Hae Woon / Kim, Kyung Min / Jeong, Daun / Lee, Jin Hyuck / Hong, Jeong-Ho / Jang, Woo Young

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 6586

    Language English
    Publishing date 2024-03-19
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-57169-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Forecast Characteristics of Radar Data Assimilation Based on the Scales of Precipitation Systems

    Jeong-Ho Bae / Ki-Hong Min

    Remote Sensing, Vol 14, Iss 605, p

    2022  Volume 605

    Abstract: Radar data with high spatiotemporal resolution and automatic weather station (AWS) data are used in the data assimilation experiment to improve the precipitation forecast of a numerical model. The numerical model considered in this study is the Weather ... ...

    Abstract Radar data with high spatiotemporal resolution and automatic weather station (AWS) data are used in the data assimilation experiment to improve the precipitation forecast of a numerical model. The numerical model considered in this study is the Weather Research and Forecasting (WRF) model with double-moment 6-class microphysics scheme (WDM6). We calculated the radar equivalent reflectivity factor using high resolution WRF and compared it with radar observations in South Korea. To compare the precipitation forecast characteristics of the three-dimensional variational (3D-Var) assimilation of radar data, four experiments were performed based on the scales of precipitation systems. Comparison of the 24 h accumulated rainfall with surface observation data, contoured frequency by altitude diagram (CFAD), time–height cross sections (THCS), and vertical hydrometeor profiles was used to evaluate the accuracy of the simulation of precipitation. The model simulations were performed with and without 3D-VAR radar reflectivity, radial velocity and AWS assimilation for two mesoscale convective cases and two synoptic scale cases. The combined effect of the radar and AWS data assimilation experiment improved the location of the precipitation area and rainfall intensity compared to the control run. There is a noticeable scale dependence in the improvement of precipitation systems. Improvements in simulating mesoscale convective systems were larger compared to synoptically driven precipitation systems.
    Keywords radar ; precipitation ; 3D-Var ; data assimilation ; WRF ; Science ; Q
    Subject code 910
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  5. Article: Forecast Characteristics of Radar Data Assimilation Based on the Scales of Precipitation Systems

    Bae, Jeong-Ho / Min, Ki-Hong

    Remote Sensing. 2022 Jan. 27, v. 14, no. 3

    2022  

    Abstract: Radar data with high spatiotemporal resolution and automatic weather station (AWS) data are used in the data assimilation experiment to improve the precipitation forecast of a numerical model. The numerical model considered in this study is the Weather ... ...

    Abstract Radar data with high spatiotemporal resolution and automatic weather station (AWS) data are used in the data assimilation experiment to improve the precipitation forecast of a numerical model. The numerical model considered in this study is the Weather Research and Forecasting (WRF) model with double-moment 6-class microphysics scheme (WDM6). We calculated the radar equivalent reflectivity factor using high resolution WRF and compared it with radar observations in South Korea. To compare the precipitation forecast characteristics of the three-dimensional variational (3D-Var) assimilation of radar data, four experiments were performed based on the scales of precipitation systems. Comparison of the 24 h accumulated rainfall with surface observation data, contoured frequency by altitude diagram (CFAD), time–height cross sections (THCS), and vertical hydrometeor profiles was used to evaluate the accuracy of the simulation of precipitation. The model simulations were performed with and without 3D-VAR radar reflectivity, radial velocity and AWS assimilation for two mesoscale convective cases and two synoptic scale cases. The combined effect of the radar and AWS data assimilation experiment improved the location of the precipitation area and rainfall intensity compared to the control run. There is a noticeable scale dependence in the improvement of precipitation systems. Improvements in simulating mesoscale convective systems were larger compared to synoptically driven precipitation systems.
    Keywords altitude ; radar ; rain ; rain intensity ; South Korea
    Language English
    Dates of publication 2022-0127
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2513863-7
    ISSN 2072-4292
    ISSN 2072-4292
    DOI 10.3390/rs14030605
    Database NAL-Catalogue (AGRICOLA)

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  6. Article ; Online: Analysis of pupillometer results according to disease stage in patients with Parkinson’s disease

    Sooyeoun You / Jeong-Ho Hong / Joonsang Yoo

    Scientific Reports, Vol 11, Iss 1, Pp 1-

    2021  Volume 6

    Abstract: Abstract We performed pupillometer testing on 132 patients with Parkinson’s disease, stratified into two groups according to the disease stage. Neurological examinations and pupillometry were performed in the ON state. Patients in the Hoehn and Yahr ... ...

    Abstract Abstract We performed pupillometer testing on 132 patients with Parkinson’s disease, stratified into two groups according to the disease stage. Neurological examinations and pupillometry were performed in the ON state. Patients in the Hoehn and Yahr stages 1 and 2 comprised the early group, and patients in stages 3–5 formed the late group. We performed age- and sex-matched (2:1) propensity score matching to compensate for the effect of age on pupil light reflex. Eight pupillometer parameters were measured and compared between the two groups. After the propensity score matching, the early group had 64 patients and the late group had 32 patients. The late group had a longer disease duration and took a higher levodopa equivalent dose than the early group. The constriction velocity (P = 0.006) and maximum constriction velocity (P = 0.005) were significantly faster in the early group than in the late group. Pupil size, minimum diameter, and dilation velocity were similar in both groups. The pupillary contraction velocity decreased with the disease progression, suggesting that the progression of Parkinson’s disease could be identified by the pupil constriction velocity.
    Keywords Medicine ; R ; Science ; Q
    Subject code 610
    Language English
    Publishing date 2021-09-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  7. Article ; Online: The Neuroprotective Effect of Therapeutic Hypothermia in Cognitive Impairment of an Ischemia/Reperfusion Injury Mouse Model.

    Lim, Ji Sun / Kim, Shin / Park, Mee-Na / Lee, Hyunsu / Baek, Hye Suk / Kim, Jin Kyung / Kim, Hae Won / Hong, Jeong-Ho

    Medicina (Kaunas, Lithuania)

    2024  Volume 60, Issue 3

    Abstract: Background and ... ...

    Abstract Background and Objectives
    MeSH term(s) Mice ; Animals ; Male ; Neuroprotective Agents/pharmacology ; Mice, Inbred C57BL ; Hypothermia, Induced ; Infarction, Middle Cerebral Artery/drug therapy ; Reperfusion Injury/complications ; Cognitive Dysfunction/therapy ; Cognitive Dysfunction/complications ; Glucose
    Chemical Substances Neuroprotective Agents ; Glucose (IY9XDZ35W2)
    Language English
    Publishing date 2024-02-20
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2188113-3
    ISSN 1648-9144 ; 1010-660X
    ISSN (online) 1648-9144
    ISSN 1010-660X
    DOI 10.3390/medicina60030350
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6270: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  8. Article ; Online: Incremental Learning for Online Data Using QR Factorization on Convolutional Neural Networks.

    Kim, Jonghong / Lee, WonHee / Baek, Sungdae / Hong, Jeong-Ho / Lee, Minho

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 19

    Abstract: Catastrophic forgetting, which means a rapid forgetting of learned representations while learning new data/samples, is one of the main problems of deep neural networks. In this paper, we propose a novel incremental learning framework that can address the ...

    Abstract Catastrophic forgetting, which means a rapid forgetting of learned representations while learning new data/samples, is one of the main problems of deep neural networks. In this paper, we propose a novel incremental learning framework that can address the forgetting problem by learning new incoming data in an online manner. We develop a new incremental learning framework that can learn extra data or new classes with less catastrophic forgetting. We adopt the hippocampal memory process to the deep neural networks by defining the effective maximum of neural activation and its boundary to represent a feature distribution. In addition, we incorporate incremental QR factorization into the deep neural networks to learn new data with both existing labels and new labels with less forgetting. The QR factorization can provide the accurate subspace prior, and incremental QR factorization can reasonably express the collaboration between new data with both existing classes and new class with less forgetting. In our framework, a set of appropriate features (i.e., nodes) provides improved representation for each class. We apply our method to the convolutional neural network (CNN) for learning Cifar-100 and Cifar-10 datasets. The experimental results show that the proposed method efficiently alleviates the stability and plasticity dilemma in the deep neural networks by providing the performance stability of a trained network while effectively learning unseen data and additional new classes.
    Language English
    Publishing date 2023-09-27
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s23198117
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Regulation of myogenesis and adipogenesis by the electromagnetic perceptive gene.

    Hwang, Jangsun / Jung, Hae Woon / Kim, Kyung Min / Jeong, Daun / Lee, Jin Hyuck / Hong, Jeong-Ho / Jang, Woo Young

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 21167

    Abstract: Obesity has been increasing in many regions of the world, including Europe, USA, and Korea. To manage obesity, we should consider it as a disease and apply therapeutic methods for its treatment. Molecular and therapeutic approaches for obesity management ...

    Abstract Obesity has been increasing in many regions of the world, including Europe, USA, and Korea. To manage obesity, we should consider it as a disease and apply therapeutic methods for its treatment. Molecular and therapeutic approaches for obesity management involve regulating biomolecules such as DNA, RNA, and protein in adipose-derived stem cells to prevent to be fat cells. Multiple factors are believed to play a role in fat differentiation, with one of the most effective factor is Ca
    MeSH term(s) Animals ; Mice ; 3T3-L1 Cells ; Adipogenesis/genetics ; Cell Differentiation/genetics ; Electromagnetic Phenomena ; Muscle Development/genetics ; Obesity/therapy ; PPAR gamma/metabolism ; Fish Proteins/pharmacology ; Fish Proteins/therapeutic use
    Chemical Substances PPAR gamma ; Fish Proteins
    Language English
    Publishing date 2023-12-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-48360-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Analysis of pupillometer results according to disease stage in patients with Parkinson's disease.

    You, Sooyeoun / Hong, Jeong-Ho / Yoo, Joonsang

    Scientific reports

    2021  Volume 11, Issue 1, Page(s) 17880

    Abstract: We performed pupillometer testing on 132 patients with Parkinson's disease, stratified into two groups according to the disease stage. Neurological examinations and pupillometry were performed in the ON state. Patients in the Hoehn and Yahr stages 1 and ... ...

    Abstract We performed pupillometer testing on 132 patients with Parkinson's disease, stratified into two groups according to the disease stage. Neurological examinations and pupillometry were performed in the ON state. Patients in the Hoehn and Yahr stages 1 and 2 comprised the early group, and patients in stages 3-5 formed the late group. We performed age- and sex-matched (2:1) propensity score matching to compensate for the effect of age on pupil light reflex. Eight pupillometer parameters were measured and compared between the two groups. After the propensity score matching, the early group had 64 patients and the late group had 32 patients. The late group had a longer disease duration and took a higher levodopa equivalent dose than the early group. The constriction velocity (P = 0.006) and maximum constriction velocity (P = 0.005) were significantly faster in the early group than in the late group. Pupil size, minimum diameter, and dilation velocity were similar in both groups. The pupillary contraction velocity decreased with the disease progression, suggesting that the progression of Parkinson's disease could be identified by the pupil constriction velocity.
    MeSH term(s) Age Factors ; Aged ; Aged, 80 and over ; Disease Progression ; Female ; Humans ; Male ; Middle Aged ; Neurologic Examination/methods ; Parkinson Disease/diagnosis ; Parkinson Disease/drug therapy ; Parkinson Disease/pathology ; Pupil/drug effects ; Reflex, Pupillary/physiology ; Vision, Ocular/drug effects ; Vision, Ocular/physiology
    Language English
    Publishing date 2021-09-09
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-021-97599-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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