The probabilistic neural network(PNN) was applied in the recognition of cancerous stomach tissues.The characteristic FTIR peak frequencies(including vas(CH3),vs(CH2),δ(CH2),vas(PO2-),v(C-O),vs(PO2-) and vs(nucleic ac...The probabilistic neural network(PNN) was applied in the recognition of cancerous stomach tissues.The characteristic FTIR peak frequencies(including vas(CH3),vs(CH2),δ(CH2),vas(PO2-),v(C-O),vs(PO2-) and vs(nucleic acid(DNA,RNA),cell proteins and membrance lipids) from corresponding stomach cancer tissues were used as the input vectors of the PNN neural network.The experimental results as follows: 1) when net parameter,spread,is 0.25～2.55,and the vas(PO2-),v(C-O),vs(PO2-) and vs(nucleic acid(DNA,RNA),cell proteins and membrance lipids) were employed as input vectors,PNN neural network exhibited the best performance with a mean accurate rate of recognition up to 96.2%;and when the spread between 0.2～4.60,and all the characteristic FTIR peak frequencies mentioned above were used as net input vectors,the PNN neural network exhibited a slightly lower performance with a mean accurate rate of recognition of 92.3%,while the PNN neural network performed very poorly when just v(C-O) and vs(PO2-) were used as input vectors with a mean accurate rate of recognition of 53.8%.2) In general,in comparison,PNN neural network should obviously be more excellent with respect to LVQ neural network(see ref.) in prediction and recognition of cancerous stomach tissues.展开更多
利用正常与相应癌化食道组织的主要FTIR特征峰vas,CH3、vs,CH2、σCH2、vaspo4^-、vc-o、vs,po2^-及vs,磷酸化蛋白作为概率神经网络的输入向量，对网络的主要参数（网络径向基函数分布spread（0～5））、输入向量和网络表现（mean accur...利用正常与相应癌化食道组织的主要FTIR特征峰vas,CH3、vs,CH2、σCH2、vaspo4^-、vc-o、vs,po2^-及vs,磷酸化蛋白作为概率神经网络的输入向量，对网络的主要参数（网络径向基函数分布spread（0～5））、输入向量和网络表现（mean accurate rate of recognition）之间的关系进行了研究。主要结论如下：i）无论输入向量是哪种特征频率的组合，其平均识别正确率都高于71．40％；ii）当输入向量为特征频率vs,po2、vs磷酸化蛋白或vs-0、va,po2、vs,磷酸化蛋白时，网络表现较佳，平均识别正确率较好。当spread介于1．4－2．3时，两者均达到网络具有的最高平均识别正确率（85．71％）；iii）大多数情况下。网络的平均识别正确率与spread之间呈现二个高峰的特征，即spread介于0．1～0．3和1．5，5．0之间时，网络均具有较高的平均识别正确率。研究表明，以傅里叶变换红外光谱的主要特征峰为概率神经网络的输入向量，用于食道组织样品的癌化识别分析是完全可能的，其平均识别正确率可达85．71％。展开更多
The quantitative analycal method of composition including 2MgCO 3·Mg(OH) 2·MgCl 2·6H 2O,5Mg(OH) 2·MgCl 2·8H 2O,3Mg(OH) 2·MgCl 2·8H 2O,4MgCO 3·Mg(OH) 2·4H 2O,MgCO 3,of Magne...The quantitative analycal method of composition including 2MgCO 3·Mg(OH) 2·MgCl 2·6H 2O,5Mg(OH) 2·MgCl 2·8H 2O,3Mg(OH) 2·MgCl 2·8H 2O,4MgCO 3·Mg(OH) 2·4H 2O,MgCO 3,of Magnesium Oxychloride Cement was established by X ray diffraction interior standard method.The interior standard substance is α ZnO.The absolute error is below 5%.The composition of different Magnesium Oxychloride Cement were analysed successfully by the method.展开更多
目的探讨在连续灌洗型电切镜行经尿道前列腺电切术中应用持续负压吸引预防手术相关并发症的有效性。方法将200例前列腺增生患者随机分成观察组及对照组各100例,均采用连续灌洗型电切镜行前列腺电切术,观察组:出水口接持续负压吸引,以腹...目的探讨在连续灌洗型电切镜行经尿道前列腺电切术中应用持续负压吸引预防手术相关并发症的有效性。方法将200例前列腺增生患者随机分成观察组及对照组各100例,均采用连续灌洗型电切镜行前列腺电切术,观察组:出水口接持续负压吸引,以腹腔穿刺针行耻骨上膀胱穿刺持续测量膀胱内压,常规行前列腺电切术,记录膀胱内压、手术时间、是否发生电切综合征和膀胱痉挛,术后常规复查血常规。对照组:出水口不接负压吸引,监测相同项目;将统计结果对比分析。结果 200例均手术成功,均无明显前列腺包膜穿孔发生,观察组100例:膀胱内压平均10 cm H2O,手术时间平均70.0 min,术后HGB下降值为25 g/L,发生7例前列腺包膜小穿孔,1例(1%)电切综合征,2例(2%)膀胱痉挛。对照组100例:膀胱内压平均38 cm H2O,手术时间平均82.0 min,术后HGB下降值为32 g/L,发生8例前列腺包膜小穿孔,6例(6%)电切综合征,8例(8%)膀胱痉挛。具有显著性差异(p<0.05)。结论在连续灌洗型电切镜行经尿道前列腺电切术中应用持续负压吸引能缩短手术时间,减少电切综合征及膀胱痉挛两大并发症的发生率,使手术更安全,方法简单易行,适合推广应用。展开更多
文摘The probabilistic neural network(PNN) was applied in the recognition of cancerous stomach tissues.The characteristic FTIR peak frequencies(including vas(CH3),vs(CH2),δ(CH2),vas(PO2-),v(C-O),vs(PO2-) and vs(nucleic acid(DNA,RNA),cell proteins and membrance lipids) from corresponding stomach cancer tissues were used as the input vectors of the PNN neural network.The experimental results as follows: 1) when net parameter,spread,is 0.25～2.55,and the vas(PO2-),v(C-O),vs(PO2-) and vs(nucleic acid(DNA,RNA),cell proteins and membrance lipids) were employed as input vectors,PNN neural network exhibited the best performance with a mean accurate rate of recognition up to 96.2%;and when the spread between 0.2～4.60,and all the characteristic FTIR peak frequencies mentioned above were used as net input vectors,the PNN neural network exhibited a slightly lower performance with a mean accurate rate of recognition of 92.3%,while the PNN neural network performed very poorly when just v(C-O) and vs(PO2-) were used as input vectors with a mean accurate rate of recognition of 53.8%.2) In general,in comparison,PNN neural network should obviously be more excellent with respect to LVQ neural network(see ref.) in prediction and recognition of cancerous stomach tissues.
文摘利用正常与相应癌化食道组织的主要FTIR特征峰vas,CH3、vs,CH2、σCH2、vaspo4^-、vc-o、vs,po2^-及vs,磷酸化蛋白作为概率神经网络的输入向量，对网络的主要参数（网络径向基函数分布spread（0～5））、输入向量和网络表现（mean accurate rate of recognition）之间的关系进行了研究。主要结论如下：i）无论输入向量是哪种特征频率的组合，其平均识别正确率都高于71．40％；ii）当输入向量为特征频率vs,po2、vs磷酸化蛋白或vs-0、va,po2、vs,磷酸化蛋白时，网络表现较佳，平均识别正确率较好。当spread介于1．4－2．3时，两者均达到网络具有的最高平均识别正确率（85．71％）；iii）大多数情况下。网络的平均识别正确率与spread之间呈现二个高峰的特征，即spread介于0．1～0．3和1．5，5．0之间时，网络均具有较高的平均识别正确率。研究表明，以傅里叶变换红外光谱的主要特征峰为概率神经网络的输入向量，用于食道组织样品的癌化识别分析是完全可能的，其平均识别正确率可达85．71％。
文摘The quantitative analycal method of composition including 2MgCO 3·Mg(OH) 2·MgCl 2·6H 2O,5Mg(OH) 2·MgCl 2·8H 2O,3Mg(OH) 2·MgCl 2·8H 2O,4MgCO 3·Mg(OH) 2·4H 2O,MgCO 3,of Magnesium Oxychloride Cement was established by X ray diffraction interior standard method.The interior standard substance is α ZnO.The absolute error is below 5%.The composition of different Magnesium Oxychloride Cement were analysed successfully by the method.
文摘目的探讨在连续灌洗型电切镜行经尿道前列腺电切术中应用持续负压吸引预防手术相关并发症的有效性。方法将200例前列腺增生患者随机分成观察组及对照组各100例,均采用连续灌洗型电切镜行前列腺电切术,观察组:出水口接持续负压吸引,以腹腔穿刺针行耻骨上膀胱穿刺持续测量膀胱内压,常规行前列腺电切术,记录膀胱内压、手术时间、是否发生电切综合征和膀胱痉挛,术后常规复查血常规。对照组:出水口不接负压吸引,监测相同项目;将统计结果对比分析。结果 200例均手术成功,均无明显前列腺包膜穿孔发生,观察组100例:膀胱内压平均10 cm H2O,手术时间平均70.0 min,术后HGB下降值为25 g/L,发生7例前列腺包膜小穿孔,1例(1%)电切综合征,2例(2%)膀胱痉挛。对照组100例:膀胱内压平均38 cm H2O,手术时间平均82.0 min,术后HGB下降值为32 g/L,发生8例前列腺包膜小穿孔,6例(6%)电切综合征,8例(8%)膀胱痉挛。具有显著性差异(p<0.05)。结论在连续灌洗型电切镜行经尿道前列腺电切术中应用持续负压吸引能缩短手术时间,减少电切综合征及膀胱痉挛两大并发症的发生率,使手术更安全,方法简单易行,适合推广应用。
