• Title/Summary/Keyword: DTH

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Dependency-based Framework of Combining Multiple Experts for Recognizing Unconstrained Handwritten Numerals (무제약 필기 숫자를 인식하기 위한 다수 인식기를 결합하는 의존관계 기반의 프레임워크)

  • Kang, Hee-Joong;Lee, Seong-Whan
    • Journal of KIISE:Software and Applications
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    • v.27 no.8
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    • pp.855-863
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    • 2000
  • Although Behavior-Knowledge Space (BKS) method, one of well known decision combination methods, does not need any assumptions in combining the multiple experts, it should theoretically build exponential storage spaces for storing and managing jointly observed K decisions from K experts. That is, combining K experts needs a (K+1)st-order probability distribution. However, it is well known that the distribution becomes unmanageable in storing and estimating, even for a small K. In order to overcome such weakness, it has been studied to decompose a probability distribution into a number of component distributions and to approximate the distribution with a product of the component distributions. One of such previous works is to apply a conditional independence assumption to the distribution. Another work is to approximate the distribution with a product of only first-order tree dependencies or second-order distributions as shown in [1]. In this paper, higher order dependency than the first-order is considered in approximating the distribution and a dependency-based framework is proposed to optimally approximate the (K+1)st-order probability distribution with a product set of dth-order dependencies where ($1{\le}d{\le}K$), and to combine multiple experts based on the product set using the Bayesian formalism. This framework was experimented and evaluated with a standardized CENPARMI data base.

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Enhancement of Testosterone in TM3 Leydig Cells by an Eritadenine-containing Agaricus blazei Mycelial Liquid Culture Extract (TM-3 cell에서 eritadenine 함유 신령버섯균사체 액체배양물의 testosterone 생성 촉진효과)

  • Kim, Young Suk;Jung, Jae Eun;Moon, Yeon Kyu;Jeong, Hui Jeong;Kim, Jeong Ok;Ha, Yeong Lae
    • Journal of Life Science
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    • v.28 no.6
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    • pp.648-655
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    • 2018
  • Enhancement mechanistic actions of testosterone (TS) productions in mouse Leydig TM3 cells by the eritadenine (EA) and/or the Agaricus blazei mycelial liquid culture extract (ABMLCE). Productions of TS in TM3 cells were investigated in normal and oxidative-stressed culture conditions. In the normal culture condition, TM3 cells grown in a Dulbecco's Modified Eagle's Medium (DMEM) were treated with EA (0~100 ppm) and ABMLCE (10 ppm) + EA (0~50 ppm) for 24 hr, and in the oxidative-stressed culture condition, the cells grown in DMEM containing $50{\mu}M$ $H_2O_2$ to induce oxidative stress for 4 h were treated with the same as those in the normal culture condition. TS content, $3{\beta}$-hydroxysteroid dehydrogenase 2 (HSD3B2) enzyme activity, $5{\alpha}$-reductase 2 ($5{\alpha}-R2$) enzyme activity, and free-radical nitric oxide (NO) content in the culture media were measured using their corresponding assay kits. EA, ABMLCE, and ABMLCE + EA significantly, p<0.05, enhanced TS productions in both cultural conditions, relative to control treatment. The activity of the HSD3B2 enzyme, which is involved in the production of precursors for TS production, was elevated by EA, ABMLCE, and ABMLCE + EA treatments in both culture conditions. The activity of the $5{\alpha}-R2$ enzyme, which converts TS to dihydroxytestosterone (DHT), was not significantly affected in either culture condition by EA, ABMLCE, or ABMLCE + EA treatments. The treatments included reduced NO content. These results indicate that EA, ABMLCE, and EA + ABMLCE treatments elevated TS in TM3 cells via the enhancements of HSD3B2 activity and the reduction of NO production, and also imply that EA and ABMLCE or EA + ABMLCE could be useful materials for the production of TS in humans.