• Title/Summary/Keyword: ADAM 10

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Assessment of Performance on the Asian Dust Generation in Spring Using Hindcast Data in Asian Dust Seasonal Forecasting Model (황사장기예측자료를 이용한 봄철 황사 발생 예측 특성 분석)

  • Kang, Misun;Lee, Woojeong;Chang, Pil-Hun;Kim, Mi-Gyeong;Boo, Kyung-On
    • Atmosphere
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    • v.32 no.2
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    • pp.149-162
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    • 2022
  • This study investigated the prediction skill of the Asian dust seasonal forecasting model (GloSea5-ADAM) on the Asian dust and meteorological variables related to the dust generation for the period of 1991~2016. Additionally, we evaluated the prediction skill of those variables depending on the combination of the initial dates in the sub-seasonal scale for the dust source region affecting South Korea. The Asian dust and meteorological variables (10 m wind speed, 1.5 m relative humidity, and 1.5 m air temperature) from GloSea5-ADAM were compared to that from Synoptic observation and European Centre for medium range weather forecasts reanalysis v5, respectively, based on Mean Bias Error (MBE), Root Mean Square Error (RMSE), and Anomaly Correlation Coefficient (ACC) as evaluation criteria. In general, the Asian dust and meteorological variables in the source region showed high ACC in the prediction scale within one month. For all variables, the use of the initial dates closest to the prediction month led to the best performances based on MBE, RMSE, and ACC, and the performances could be improved by adjusting the number of ensembles considering the combination of the initial date. ACC was as high as 0.4 in Spring when using the closest two initial dates. In particular, the GloSea5-ADAM shows the best performance of Asian dust generation with an ACC of 0.60 in the occurrence frequency of Asian dust in March when using the closest initial dates for initial conditions.

3'-O-Acetyl-24-Epi-7,8-Didehydrocimigenol-3-O-β-D-Xylopryranoside Decreases Amyloid Beta Production in Amyloid Precursor Protein-Transfected HeLa Cells

  • Lee, Sang-Bin;Park, Ansun;Ma, Chi Thanh;Kim, Young Ho;Yang, Hyun Ok
    • Biomolecules & Therapeutics
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    • v.29 no.3
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    • pp.290-294
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    • 2021
  • Extracellular beta amyloid (Aβ) plaques are the neuropathological hallmarks of Alzheimer's disease (AD). Accordingly, reducing Aβ levels is considered a promising strategy for AD prevention. 3'-O-acetyl-24-epi-7,8-didehydrocimigenol-3-O-β-D-xylopryranoside significantly decreased the Aβ production and this effect was accompanied with reduced sAPPβ production known as a soluble ectodomain APP fragment through β-secretases in HeLa cells overexpressing amyloid precursor proteins (APPs). This compound also increased the level of sAPPα, which is a proteolytic fragment of APP by α-secretases. In addition, 3'-O-acetyl-24-epi-7,8-didehydrocimigenol-3-O-β-D-xylopryranoside decreased the protein level of β-secretases, but the protein levels of A disintegrin and metalloproteinase (ADAM) family, especially ADAM10 and ADAM17, are increased. Thus, 3'-O-acetyl-24-epi-7,8-didehydrocimigenol-3-O-β-D-xylopryranoside could be useful in the development of AD treatment in the aspect of amyloid pathology.

A Study on Dynamic Characteristics and Durability of Multi-joint Boom for Demolition Water Vehicle (파괴방수차 다관절 붐의 동특성 및 내구성에 관한 연구)

  • Kim, Jin-Soo;So, Soo-Hyun;Lim, Su-Hong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.8
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    • pp.4769-4775
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    • 2014
  • This paper discusses the dynamics stress of each boom, which occurs as a result of the conflicts on a multi-joint boom at the end effector and structure. In this process, CATIA was applied to create 3D modeling, ADAMS and ANSYS were then performed using mesh analysis by obtaining the stress data to create a MNF(Modal Neutral File) of multi-joint boom. Two types of MNF models were analyzed using ADAMS FFT(Fast Fourier Transform) performing to check the validity of each model. In this process, the models were verified by ADAMS, which performs the dynamic characteristics of conflict. The ADAMS Durability was used to analyze the maximum stress between the multi-joint boom and structure.

Comparison of Measuring Methods for Somatic Cell Count in Goat Milk (측정방법에 따른 국내산 산양유의 체세포수 비교)

  • Lee, Seung-Gyu;Kim, Min-Kyung;Lee, Yeon-Jeong;Jeong, Seok-Geun;Oh, Mi-Hwa;Kim, Dong-Hun;Park, Kwang-Wook;Lee, Wan-Kyu;Ham, Jun-Sang
    • Food Science of Animal Resources
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    • v.30 no.1
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    • pp.120-123
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    • 2010
  • The standard method for somatic cell counts in goat milk is the direct microscopic method after a pyronin Y-methyl stain. It has been reported, however, that are found to differ by measuring methods, but. A total of forty eight goat milk samples from eight farms were compared by pyronin Y-methyl stain, ADAM-SCC in National Institute of Animal Science, and Somacount 500 in Chungbuk Veterinary Service. The average SCC of the samples was $7.3{\times}10^5$ cells/mL by pyronin Y-methyl stain, $4.9{\times}10^5$ cells/mL by ADAM-SCC, and $11.6{\times}10^5$ cells/mL by Somacount 500. The correlations between the methods were not significant. SCC measuring equipment should be developed for reducing the SCC in goat milk, and pyronin Y-methyl green stain for estimating SCC in goat milk should be included in NVRQS Notice for livestock products processing and composition standards.

Comparison of Different Deep Learning Optimizers for Modeling Photovoltaic Power

  • Poudel, Prasis;Bae, Sang Hyun;Jang, Bongseog
    • Journal of Integrative Natural Science
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    • v.11 no.4
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    • pp.204-208
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    • 2018
  • Comparison of different optimizer performance in photovoltaic power modeling using artificial neural deep learning techniques is described in this paper. Six different deep learning optimizers are tested for Long-Short-Term Memory networks in this study. The optimizers are namely Adam, Stochastic Gradient Descent, Root Mean Square Propagation, Adaptive Gradient, and some variants such as Adamax and Nadam. For comparing the optimization techniques, high and low fluctuated photovoltaic power output are examined and the power output is real data obtained from the site at Mokpo university. Using Python Keras version, we have developed the prediction program for the performance evaluation of the optimizations. The prediction error results of each optimizer in both high and low power cases shows that the Adam has better performance compared to the other optimizers.

Self-Consciousness Information of Branching Minds (갈라진 두 마음의 자기의식 정보)

  • Kim, Myeong-Seok
    • Journal of Korean Philosophical Society
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    • v.142
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    • pp.27-50
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    • 2017
  • When we lose our memories or when our self-identity becomes blurred, we may feel as if our mind has split into multiple minds. If someone makes another 'me' by copying my body and mind, how should two conscious 'I's change their credences? In this article, we present a new thought experiment that can be called the 'Two Adams Problem'. This thought experiment represents a piece of philosophical inquiry that speculates on the nature of self-consciousness information that 'I am awake now'. On Sunday evening, as soon as Adam falls asleep, the philosopher Roro makes another Adam by copying Adam's original body and mind. They sleep separately in another room. Within a minute, Roro throws a fair coin. If the coin lands heads up Roro wakes just one of the Adams up on Monday. If the coin lands tails up Roro wakes both Adams up. On Monday, at least one of the Adams will wake up. To what degree ought they believe that the outcome of the coin toss is heads? We will argue that the correct answer to this question is 1/2.