1.Hypertonic NaCl-NaAc improves the microcirculation in rats subjected to hemorrhagic shock
Xuewu ZHOU ; Deyao HU ; Liangming LIU ; Kesen ZHAO ; Xuliang HUANG ; Zuojian ZHU
Chinese Journal of Pathophysiology 1986;0(01):-
AIM: To study the effects of hypertonic NaCl-NaAc on microcirculation in hemorrhage-shocked rats.METHODS: SD rats were randomized into three groups of 7 5% NaCl(hypertonic saline, HS),5% NaCl-3 5% NaAc(hypertonic sodium acetate, HSA) and 0 9% NaCl(normal saline, NS) 4 mL/kg HS,HSA or NS was given intravenously following hemorrhagic shock The microcirculation of spinotrapezius muscle was observed RESULTS: HS increased mean aortic pressure more significant than HSA Variables including arteriolar and venular diameter,velocity and volumetric flow rate and open capillaries were increased and erythrocyte aggregation was decreased in 5 min after resuscitation with both HS and HSA solutions 5 min later,variables were deteriorated in HS group After local treatment, arteriolar and venular diameters were dilated significantly in HSA group CONCLUSION:HSA had superior effects to HS in improving microcirculation of hemorrhage-shocked rats
2.Simplified Study of Constitution in Chinese Medicine Questionnaire Based on Genetic Algorithm and KNN Method
Shutao GUAN ; Hongyan LI ; Xufeng LANG ; Can LI ; Zuojian ZHOU ; Kongfa HU ; Libin ZHAN
World Science and Technology-Modernization of Traditional Chinese Medicine 2023;25(10):3364-3369
Objective Aiming at the problems of many items and long time to fill in the Constitution in Chinese Medicine Questionnaire(CCMQ)when evaluating individual constitution,the research uses artificial intelligence technology to select attributes,and to help construct a short version of the CCMQ.Methods Analyzing the constitution data provided by the Physical Examination Department of Jiangsu Province Hospital of Traditional Chinese Medicine,there are specific target variables as the classification of constitution types.Feature selection of genetic algorithm,cross-validation and KNN classification algorithm are used as filters to select problems,and the effect is evaluated by problem subset size,KNN classification accuracy and filling time.Results The method selected a short version of the CCMQ with 31 problems,and the average classification accuracy in the model was 86.16%,and the time was improved by 47.7%.Conclusion The algorithm can effectively find a better problem subset,achieve dimensionality reduction and have certain accuracy,thus helping to simplify the CCMQ.
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