Author | MINOWA, Hirotsugu| MUNESAWA, Yoshiomi| SUZUKI, Kazuhiko| |
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Published Date | 2012-10-15 |
Publication Title | 安全工学 |
Volume | volume51 |
Issue | issue5 |
Content Type | Journal Article |
Author | Yang, Zong Xiao| Suzuki, Kazuhiko| Shimada, Yukiyasu| Sayama, Hayatoshi| |
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Published Date | 1995-3 |
Publication Title | Fuzzy Systems |
Volume | volume1 |
Content Type | Journal Article |
JaLCDOI | 10.18926/AMO/32194 |
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FullText URL | fulltext.pdf |
Author | Suzuki, Kazuhiko| Ogata, Masana| |
Abstract | Effects of Gabexate mesilate (GM) (([ethyl-4-(6-guanidino hexanoyloxy) benzoate] methane sulfonate)), a protease inhibitor, on the activities of catalase in liver, erythrocytes and reticulocytes from acatalasemic mice were examined. Preincubation without GM at 37 degrees C for 160 min lowered the catalase activities of liver, erythrocytes and reticulocytes from acatalasemic mice, to 24%, 40% and 10% of the initial levels, respectively. But, preincubation with GM at 37 degrees C for 160 min delayed the rapid decrease in activities of residual catalases in the liver, erythrocytes and reticulocytes of acatalasemic mice to 65%, 93% and 85% of the initial values, respectively. At 20 degrees C or below, no reduction in catalase activity of reticulocytes from acatalasemic mice occurred with or even without GM. At pH 5.0, the decrease in catalase activity of acatalasemic mice was small both in the presence and the absence of GM. In the alkaline range, the reduction in the enzyme activity of the mutant mice without GM was enhanced with increase in pH values up to 8.5. But the presence of GM during preincubation at pH 7.5, retained the catalase activity of acatalasemic mice, to 64% of the activity at pH 6.5. These data suggest that some factors affected by GM, might be responsible for the low stability and activity of catalase in the acatalasemic mice. |
Keywords | acatalasemic mouse residual catalase Gabexate mesilate protease inhibitor |
Amo Type | Article |
Publication Title | Acta Medica Okayama |
Published Date | 1991-10 |
Volume | volume45 |
Issue | issue5 |
Publisher | Okayama University Medical School |
Start Page | 363 |
End Page | 369 |
ISSN | 0386-300X |
NCID | AA00508441 |
Content Type | Journal Article |
language | English |
File Version | publisher |
Refereed | True |
PubMed ID | 1755340 |
Web of Science KeyUT | A1991GN53800011 |
JaLCDOI | 10.18926/15511 |
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FullText URL | Mem_Fac_Eng_OU_25_2_55.pdf |
Author | Ohkura Akira| Kameyama, Yoshimasa| Sayama, Hayatoshi| Suzuki, Kazuhiko| Fukumoto Shuichi| |
Abstract | AHP can handle decision-making problems involving several criteria when some of these are difficult or impossible to compare other than numerically. When a small group of decision makers settle the multi-criteria problem by AHP, the members of group could not often reach an agreement with hierarchic structure involving objectives, criteria, sub-criteria and alternatives because they have different positions, interests, and opinions. Further, the members have different importances for criteria and sub-criteria, and have dissimilar preferences for alternatives. In this article, we reveal the troubleness of AHP in case of being used by a small group of decision makers. Moreover, we proposed a procedure of AHP which the members of group could easily agree with the structure of problem and the weights of criteria etc. |
Publication Title | Memoirs of the Faculty of Engineering, Okayama University |
Published Date | 1991-03-28 |
Volume | volume25 |
Issue | issue2 |
Start Page | 55 |
End Page | 67 |
ISSN | 0475-0071 |
language | English |
File Version | publisher |
NAID | 120002307741 |
JaLCDOI | 10.18926/15391 |
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FullText URL | Mem_Fac_Eng_OU_27_1_33.pdf |
Author | Shimada, Yukiyasu| Suzuki, Kazuhiko| Sayama, Hayatoshi| |
Abstract | Neural nets have recently become the focus of much attention, largely because of their wide range of complex and nonlinear problems. This paper presents a new integrated approach using neural networks for diagnosing process failures. The fault propagation in process is modeled by causal relationships from the fault tree and its minimal cut sets. The measurement patterns required for training and testing the neural network were obtained from fault propagation model. The network is able to diagnose even in the presence of malfunction of certain sensors. We demonstrate via a nitric acid cooler process how the neural network can learn and successfully diagnose the faults. |
Publication Title | Memoirs of the Faculty of Engineering, Okayama University |
Published Date | 1992-11-25 |
Volume | volume27 |
Issue | issue1 |
Start Page | 33 |
End Page | 44 |
ISSN | 0475-0071 |
language | English |
File Version | publisher |
NAID | 120002307902 |
Author | 鈴木 和彦| |
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Published Date | 1991-12-31 |
Publication Title | |
Content Type | Thesis or Dissertation |