Cerebrovascular dementia is a common disease in the middle-aged and old people. Its incidence makes up about 10-20% of all kinds of dementia. It is mainly caused by general degeneration of the brain function resulted ...Cerebrovascular dementia is a common disease in the middle-aged and old people. Its incidence makes up about 10-20% of all kinds of dementia. It is mainly caused by general degeneration of the brain function resulted from cerebral arteriosclerosis and cerebral infarction. The author has treated 32 cases of cerebrovascular dementia with acupuncture in the recent years with satisfactory therapeutic results. A report follows.展开更多
A series of water absorption tests on dried soft rock have been conducted by the intelligent testing system for water absorption tests in deep soft rock, including tests of water absorption with and without pres- sure...A series of water absorption tests on dried soft rock have been conducted by the intelligent testing system for water absorption tests in deep soft rock, including tests of water absorption with and without pres- sure. The results show that the water absorbing capacity of rock with a certain pressure is larger than that of rock without pressure: however, the relationship between the water absorbing percentage and the time can be expressed by w(t) = a(l - e^-bt). In hi-logarithmic coordinates, the hydrophilic relationship with time in tests with pressure could be characterized by linearity, while they present concave or convex in tests without pressure. Based on the hypothesis that each influential factor is irrelevant and they have a linear correlation with the water absorbing capacity, we calculated the weight coefficient of each factor according to experimental results under different conditions. The calculations demonstrate that the effec- tive porosity, content of smectite and kaolinite are all positively correlated with the water absorption capacity of rock; meanwhile, the fractal dimension of the effective pores presents a negative correlation with the water absorption capacity of rock. The water absorption capacity with pressure increases with increasing illite, chlorite and chlorite/smectite formation and a decrease in illite/smectite formation and the fractal dimension of the effective pores, while it is opposite in tests without pressure. The weight coefficient of smectite is smallest among positive factors, and the fractal dimension of the effective pores is the smallest amongst the negative factors.展开更多
In order to study features of rock–water interaction, a self-developed experimental system called Intelligent Testing System for Water Absorption in Deep Soft Rocks(ITSWADSR) was utilized to analyze the hydrophilic b...In order to study features of rock–water interaction, a self-developed experimental system called Intelligent Testing System for Water Absorption in Deep Soft Rocks(ITSWADSR) was utilized to analyze the hydrophilic behaviors of natural soft rock at high stress state. Combining X-ray diffraction and mercury injection test, main influencing factors on hydrophilic characteristics were studied. According to the results, it could be concluded as the following:(1) the effective porosity, and the content of illite, illite/smectite formation(S = 5%) and kaolinite have positive correlation with the water absorption capacity of rock; meanwhile, the initial moisture content, fractal dimension of effective pores, illite/smectite formation(S = 30%) and chlorite present negative correlation;(2) among the positive factors, the ascending order is kaolinite, illite/smectite formation(S = 5%) and illite;(3) the descending order among the negative factors are chlorite, illite/smectite formation(S = 30%) and fractal dimension of the effective pores;(4) influence of effective porosity on the pressurized water absorbing capacity of rock is minimal, while it is maximal in the process of no pressurized water absorption.展开更多
Rolling force for strip casting of 1Cr17 ferritic stainless steel was predicted using theoretical model and artificial intelligence.Solution zone was classified into two parts by kiss point position during casting str...Rolling force for strip casting of 1Cr17 ferritic stainless steel was predicted using theoretical model and artificial intelligence.Solution zone was classified into two parts by kiss point position during casting strip.Navier-Stokes equation in fluid mechanics and stream function were introduced to analyze the rheological property of liquid zone and mushy zone,and deduce the analytic equation of unit compression stress distribution.The traditional hot rolling model was still used in the solid zone.Neural networks based on feedforward training algorithm in Bayesian regularization were introduced to build model for kiss point position.The results show that calculation accuracy for verification data of 94.67% is in the range of ±7.0%,which indicates that the predicting accuracy of this model is very high.展开更多
The intellectual capital is a main source of competing advantage. Many studies developed measure(s) of intellectual capital of industrial and service firms. Few studies have tried to develop a reliable measure of in...The intellectual capital is a main source of competing advantage. Many studies developed measure(s) of intellectual capital of industrial and service firms. Few studies have tried to develop a reliable measure of intellectual capital in audit firms. This study extends the current models to provide more insight into the role of intellectual capital in audit firms. The aim of this study is to develop a quantitative model to measure audit firms' intellectual capital. The suggested model can be used to explore the relationship between the intellectual capital in audit firms and audit quality. The model combines the main components of intellectual capital (human capital, structural capital, and relational capital). The suggested model provides a tool that may help to better manage the intellectual capital in audit firms. As this is a theoretical study, a number of hypotheses are presented for testing in the future.展开更多
文摘Cerebrovascular dementia is a common disease in the middle-aged and old people. Its incidence makes up about 10-20% of all kinds of dementia. It is mainly caused by general degeneration of the brain function resulted from cerebral arteriosclerosis and cerebral infarction. The author has treated 32 cases of cerebrovascular dementia with acupuncture in the recent years with satisfactory therapeutic results. A report follows.
文摘A series of water absorption tests on dried soft rock have been conducted by the intelligent testing system for water absorption tests in deep soft rock, including tests of water absorption with and without pres- sure. The results show that the water absorbing capacity of rock with a certain pressure is larger than that of rock without pressure: however, the relationship between the water absorbing percentage and the time can be expressed by w(t) = a(l - e^-bt). In hi-logarithmic coordinates, the hydrophilic relationship with time in tests with pressure could be characterized by linearity, while they present concave or convex in tests without pressure. Based on the hypothesis that each influential factor is irrelevant and they have a linear correlation with the water absorbing capacity, we calculated the weight coefficient of each factor according to experimental results under different conditions. The calculations demonstrate that the effec- tive porosity, content of smectite and kaolinite are all positively correlated with the water absorption capacity of rock; meanwhile, the fractal dimension of the effective pores presents a negative correlation with the water absorption capacity of rock. The water absorption capacity with pressure increases with increasing illite, chlorite and chlorite/smectite formation and a decrease in illite/smectite formation and the fractal dimension of the effective pores, while it is opposite in tests without pressure. The weight coefficient of smectite is smallest among positive factors, and the fractal dimension of the effective pores is the smallest amongst the negative factors.
文摘In order to study features of rock–water interaction, a self-developed experimental system called Intelligent Testing System for Water Absorption in Deep Soft Rocks(ITSWADSR) was utilized to analyze the hydrophilic behaviors of natural soft rock at high stress state. Combining X-ray diffraction and mercury injection test, main influencing factors on hydrophilic characteristics were studied. According to the results, it could be concluded as the following:(1) the effective porosity, and the content of illite, illite/smectite formation(S = 5%) and kaolinite have positive correlation with the water absorption capacity of rock; meanwhile, the initial moisture content, fractal dimension of effective pores, illite/smectite formation(S = 30%) and chlorite present negative correlation;(2) among the positive factors, the ascending order is kaolinite, illite/smectite formation(S = 5%) and illite;(3) the descending order among the negative factors are chlorite, illite/smectite formation(S = 30%) and fractal dimension of the effective pores;(4) influence of effective porosity on the pressurized water absorbing capacity of rock is minimal, while it is maximal in the process of no pressurized water absorption.
基金Project(2004CB619108) supported by National Basic Research Program of China
文摘Rolling force for strip casting of 1Cr17 ferritic stainless steel was predicted using theoretical model and artificial intelligence.Solution zone was classified into two parts by kiss point position during casting strip.Navier-Stokes equation in fluid mechanics and stream function were introduced to analyze the rheological property of liquid zone and mushy zone,and deduce the analytic equation of unit compression stress distribution.The traditional hot rolling model was still used in the solid zone.Neural networks based on feedforward training algorithm in Bayesian regularization were introduced to build model for kiss point position.The results show that calculation accuracy for verification data of 94.67% is in the range of ±7.0%,which indicates that the predicting accuracy of this model is very high.
文摘The intellectual capital is a main source of competing advantage. Many studies developed measure(s) of intellectual capital of industrial and service firms. Few studies have tried to develop a reliable measure of intellectual capital in audit firms. This study extends the current models to provide more insight into the role of intellectual capital in audit firms. The aim of this study is to develop a quantitative model to measure audit firms' intellectual capital. The suggested model can be used to explore the relationship between the intellectual capital in audit firms and audit quality. The model combines the main components of intellectual capital (human capital, structural capital, and relational capital). The suggested model provides a tool that may help to better manage the intellectual capital in audit firms. As this is a theoretical study, a number of hypotheses are presented for testing in the future.