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| 1 | Study of Decision Implications Based on Formal Concept Analysis显示文摘 | Kaishe Qu Yanhui Zhai Yanmeng Zhao | 2006 | Journal of Systems Science and Information2006，4，3： | 2 |
| 2 | Generating complete set of implications for formal contexts显示文摘 | Qu Kaishe Zhai Yanhui | 2008 | Knowledge-Based Systems2008，21，5： | 1 |
| 3 | Study of decision implications based on formal concept analysis 显示文摘 | Qu Kaishe Zhai Yanhui Liang Jiye | 2007 | Int Jpurnal of General Systems2007，36，2： | 1 |
| 4 | Study of decision implications based on formal concept analysis显示文摘 | QU Kaishe ZHAI Yanhui LIANG Jiye | 2007 | International Journal of General Systems2007，36，2： | 1 |
| 5 | An Update Method of Decision Implication Canonical Basis on Attribute Granulating显示文摘Decision implication is a form of decision knowledge represen-tation,which is able to avoid generating attribute implications that occur between condition attributes and between decision attributes.Compared with other forms of decision knowledge representation,decision implication has a stronger knowledge representation capability.Attribute granularization may facilitate the knowledge extraction of different attribute granularity layers and thus is of application significance.Decision implication canonical basis(DICB)is the most compact set of decision implications,which can efficiently represent all knowledge in the decision context.In order to mine all deci-sion information on decision context under attribute granulating,this paper proposes an updated method of DICB.To this end,the paper reduces the update of DICB to the updates of decision premises after deleting an attribute and after adding granulation attributes of some attributes.Based on this,the paper analyzes the changes of decision premises,examines the properties of decision premises,designs an algorithm for incrementally generating DICB,and verifies its effectiveness through experiments.In real life,by using the updated algorithm of DICB,users may obtain all decision knowledge on decision context after attribute granularization. | Yanhui Zhai Rujie Chen Deyu Li | 2023 | Intelligent Automation & Soft Computing2023，37，8： | 0 |
| 6 | Fuzzy decision implications: interpretation within fuzzy decision context显示文摘Fuzzy decision implication is an extension of decision implication in the fuzzy setting,serving to uncover the dependencies of fuzzy attributes.This study presents the interpretation of fuzzy decision implication in the fuzzy decision context.Specially,they will show that from fuzzy decision contexts one can obtain a closed fuzzy set of fuzzy decision implications,and the semantical characteristic of the obtained fuzzy set can be interpreted by fuzzy decision context and can be represented by some operators of fuzzy decision context.Conversely,starting from a fuzzy set of fuzzy decision implications,they can form a fuzzy decision context,from which the given fuzzy set can be derived.The result actually implies that they have constructed a correspondence between closed fuzzy sets of fuzzy decision implications and fuzzy decision contexts,and thus shows the equivalence of two interpretations of fuzzy decision implications. | Jing Zhang Yanhui Zhai Deyu Li | 2019 | CAAI Transactions on Intelligence Technology2019，4，4： | 0 |
| 7 | Influence of Panax quinquefolium saponins on increased intracellular Ca^(2+) in PC12 cells显示文摘BACKGROUND:Previous studies have demonstrated that intracellular Ca^(2+)([Ca^(2+)]_i) overload, excitotoxicity,free radical injury,and nitric oxide toxicity are involved in mechanisms of neuronal death in the ischemic brain. OBJECTIVE:To investigate the influence of Panax quinquefolium saponins(PQS) on multiple factors-induced Ca^(2+) overload in the rat pheochromocytoma(PC12) cell line. DESIGN,TIME AND SETTING:Intergroup comparison,in vitro study.The experiment was performed at the Heilongjiang Key Laboratory of Anti-fibrosis Biotherapy,Mudanjiang Medical University between November 2007 and April 2008. MATERIALS:In vitro cultured PC12 cells in the logarithmic phase were assigned into blank control,model,and drug treatment groups(10μmol/L nimodipine;40μg/L,100μg/L,and 250μg/L PQS).Nimodipine was purchased from Jiangsu Yangtze River Pharmacy Group Co., China;PQS(purity>95%,HLPC grade) was provided by School of Basic Medical Sciences,Jilin University.Caffeine,Na_2S_2O_4,L-glutamic acid(Glu),Fura-2/AM,and calcium ionophore A23187 were purchased from Sigma,USA. METHODS:PC12 cells in the model and drug treatment groups were separately incubated in glucose-free Hank's buffered saline solution + Na_2S_20_4(2 mmol/L) for 6 hours,Glu(200μmol/L) plus A23187(0.05μmol/L) for 6 hours,KCI(50 mmol/L) for 1 hour,and caffeine(5 mmol/L) for 3 hours to establish models of intracellular Ca^(2+) overload induced by oxygen and glucose deprivation,Glu,A23187,high K^+,or caffeine.In addition,control cells were incubated in high-glucose DMEM culture medium. MAIN OUTCOME MEASURES:[Ca^(2+)]_i changes in PC12 cells exposed to oxygen-glucose deprivation,Glu,A23187,high K^+,or caffeine were detected using spectrofluorometer. RESULTS:PQS blocked the[Ca^(2+)]_i increase induced by oxygen-glucose deprivation,Glu, A23187,high K^+,or caffeine.In particular,high-dose PQS was most effective(P<0.01).PQS significantly inhibited Glu- or caffeine-induced[Ca^(2+)]_i increases in the absence of extracellular Ca^(2+),but nimodipine did not. CONCLUSION:PQS blocked intracellular Ca^(2+) overload induced by oxygen-glucose deprivation, Glu,A23187,high K^+,or caffeine.This mechanism might be involved in the attenuation of neuronal apoptosis following ischemic brain injury. | Lixin Guan Xiudong Jin Yanhui Chu Yufei Zhang Yan Wu Xin Yi Fengguo Zhai Men clquan Li | 2009 | Neural Regeneration Research2009，4，3： | 0 |
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