Aim To prepare triamcinolone-acetonide-acetate (TAA)-loaded solid lipidnanoparticles (SLN) carbomer gel with tripalmitin glyceride (TPG), and investigate theircharacteristics and transdermal drug delivery. Methods SLN...Aim To prepare triamcinolone-acetonide-acetate (TAA)-loaded solid lipidnanoparticles (SLN) carbomer gel with tripalmitin glyceride (TPG), and investigate theircharacteristics and transdermal drug delivery. Methods SLN suspension was prepared by high-pressurehomogenization technique, and then mixed with carbomer gel matrix to get SLN gel. The morphology,particle size with polydispersi-ty index (PI) and zeta potential were examined by atomic forcemicroscopy (AFM) and photon correlation spectroscopy (PCS). The entrapment efficiency, stability andin vitro drug release were also studied. The transdermal drug delivery through porcine ear skin wasevaluated using modified Franz diffusion cells. Results The SLN had a spherical shape with theaverage size of (95.5 - 186.2) nm, the zeta potential of (-26.3- -15.7) mV and the entrapmentefficiency of 67.4%-90.3% for different TAA encapsulated compounds. TAA-SLN carbomer gel had goodstability, the release profile in vitro fitted Higuchi equation. In comparison with conventionalhydrogels, TAA-SLN carbomer gel resulted in higher drug permeation amount and drug deposition withinporcine ear skin after 24 h penetration experiment. Conclusion TAA-SLN carbomer gel is preparedwith stable physicochemical properties. The release profile and improved drug permeation into skinmake it be a promising vehicle for transdermal drug delivery.展开更多
Soil-water characteristic curves of expansive clay are usually measured in the laboratory, but soil suction in the field is extremely difficult and time consuming. The method of artificial neural network (ANN) is adop...Soil-water characteristic curves of expansive clay are usually measured in the laboratory, but soil suction in the field is extremely difficult and time consuming. The method of artificial neural network (ANN) is adopted to predict soil suction in the field by using measured water contents. This is done by training the network using laboratory measured soil-water characteristics. Prediction soil suction using the ANN with some limited in-situ measured water contents is compared with actual suction measurements in the field. Prediction results are discussed.展开更多
Objective: To compare the efficacy and tolerability of letrozole with aminoglutethimide (AG) in postmenopausal women with advanced breast cancer. Methods: The multicenter, randomized controlled clinical trial was cond...Objective: To compare the efficacy and tolerability of letrozole with aminoglutethimide (AG) in postmenopausal women with advanced breast cancer. Methods: The multicenter, randomized controlled clinical trial was conducted in 113 patients. They randomly received letrozole 2.5 mg once daily (letrozole group) or AG 250 mg 4 times daily (AG group) with hydrocortisone. Results: The OR in letrozole group was 23.73% (2 cases of CR and 12 cases of PR, ITT OR was 21.88%), which was higher than in AG group (the OR 11.11%, 1 CASE of CR and 5 cases of PR, ITT 10.17%), but there was no statistically significant difference (P>0.05). Adverse events (AE) and the treatment related AE (RAE) in letrozole group (n=59) was 18.54% and 13.56% respectively, significantly lower than those (42.11% and 33.33% respectively) in AG group (n=57, P=0.002). Conclusion: The OR of letrozole in the treatment of postmenopausal advanced breast cancer positive or unknown for hormonal receptor is 23.73%, showing no significant difference to that of AG. The AE of letrozole are significantly less than AG.展开更多
The adjusted GPS height is the height above the surface of the WGS-84ellipsoid. It is necessary to convert a GPS height into a normal height in engineering. The conicoidfitting method (CFM) and the neural networks met...The adjusted GPS height is the height above the surface of the WGS-84ellipsoid. It is necessary to convert a GPS height into a normal height in engineering. The conicoidfitting method (CFM) and the neural networks method (NNM) are used for this purpose, but each ofthem has its advantages and disadvantages. After studying these two methods, a new method (abbr.CF&NNM) is conceived. The procedure of the CF&NNM is introduced. A practical engineering example isused to study these three different methods. The results by the three methods are listed. The CF&NNMmethod can produce better results than either the CFM or the NNM in deriving normal height from GPSheight. The theory of the CF&NNM method is analyzed.展开更多
In the field of seismic exploration, ground roll seriously affects the deep effective reflections from subsurface deep structures. Traditional curvelet transform cannot provide an adaptive basis function to achieve a ...In the field of seismic exploration, ground roll seriously affects the deep effective reflections from subsurface deep structures. Traditional curvelet transform cannot provide an adaptive basis function to achieve a suboptimal denoised result. In this paper, we propose a method based on empirical curvelet transform (ECT) for ground roll attenuation. Unlike the traditional curvelet transform, this method not only decomposes seismic data into multiscale and multi-directional components, but also provides an adaptive filter bank according to frequency content of seismic data itself. So, ground roll can be separated by using this method. However, as the frequency of reflection and ground roll components are close, we apply singular value decomposition (SVD) in the curvelet domain to differentiate the ground roll and reflection better. Examples of synthetic and field seismic data reveal that the proposed method based ECT performs better than the traditional curvelet method in terms of the suppression of ground roll.展开更多
Along with the economic development and the acceleration of urbanization,urban construction land expands rapidly in China,and has resulted in a series of socio-economic problems.This article summarized the major point...Along with the economic development and the acceleration of urbanization,urban construction land expands rapidly in China,and has resulted in a series of socio-economic problems.This article summarized the major points of controlling the unchecked and rash expansion of construction land in the academic circle,and analyzed the problems of regulating the expansion of construction land from three aspects.First,this article analyzed the relationships between socio-economic development and urbanization from the historical viewpoints,and pointed out that the expansion of construction land is a historical phenomenon which will be surely appeared in the development of human race.Second,the authors utilized two-sector model to analyze the importance of urbanization in the socio-economic development from the academic angles.At last,the authors utilize four-quadrant model and bidrent curve model to analyze the influence that brought by the strict control of construction land expansion.Through analysis,this article drew some conclusions.First,the expansion of construction land is a phenomenon which will surely appear in the social development.It is impossible to accomplish the national modernization on the basis of dualistic structure between urban and rural areas.Second,under the function of rent gradient gap,strict control of construction land expansion will not only obtain the anticipated effects,but also cause a series of socio-economic problems,such as land-levying contradiction,the appearance of limited property right house,and being dependant on lease instead of expropriation.Third,unreasonable policies and governmental behaviors are the roots of the unchecked and rash expansion of urban construction land.Based on these conclusions,this article proposed that three transformations should be realized to regulate the unchecked and rash expansion of construction land:transfers from quantity regulation to quality regulation,from direct regulation to indirect regulation,and from single-measure regulation to multi-measures regulation.展开更多
Brazil is one of the countries with the greatest biodiversity, being covered by diverse ecosystems. Native trees commercially planted generate numerous benefits for communities, providing cultural, recreational, touri...Brazil is one of the countries with the greatest biodiversity, being covered by diverse ecosystems. Native trees commercially planted generate numerous benefits for communities, providing cultural, recreational, tourism riches, as well as ecological benefits, such as nutrient regulation and carbon sequestration. Thus, this work aimed to generate potential distribution modeling for the Brazilian forest species, to provide information that will serve as a strategy for conservation, restoration and commercial plantation of them, that is, encouraging the use of legal native species in the forest sector. Eleven tree species and 19 bioclimatic variables were selected. The software Maxent 3.3.3 was applied in the generation of the distribution models and the area under the curve of receiver operating characteristic (AUC) was used to analyze the model. The Jackknife test contributed to identify which bioclimatic variables are most important or influential in the model. The models showed AUC values ranged from 0.857 to 0.983. The species with higher AUC values were Araucaria angustifolia, Mimosa scabrella and Euterpe edulis, respectively. The maximum temperature of warmest month showed the highest influence for the most species, followed by the mean diurnal range and annual precipitation. It was observed that for some species, there were restricted areas of environmental suitability, such as Araucaria angustifolia, Ilex paraguariensis and Mimosa scabrella. The models used could trace the potential distribution areas using the environmental variables, and these models contribute significantly to sustainable forest management.展开更多
文摘Aim To prepare triamcinolone-acetonide-acetate (TAA)-loaded solid lipidnanoparticles (SLN) carbomer gel with tripalmitin glyceride (TPG), and investigate theircharacteristics and transdermal drug delivery. Methods SLN suspension was prepared by high-pressurehomogenization technique, and then mixed with carbomer gel matrix to get SLN gel. The morphology,particle size with polydispersi-ty index (PI) and zeta potential were examined by atomic forcemicroscopy (AFM) and photon correlation spectroscopy (PCS). The entrapment efficiency, stability andin vitro drug release were also studied. The transdermal drug delivery through porcine ear skin wasevaluated using modified Franz diffusion cells. Results The SLN had a spherical shape with theaverage size of (95.5 - 186.2) nm, the zeta potential of (-26.3- -15.7) mV and the entrapmentefficiency of 67.4%-90.3% for different TAA encapsulated compounds. TAA-SLN carbomer gel had goodstability, the release profile in vitro fitted Higuchi equation. In comparison with conventionalhydrogels, TAA-SLN carbomer gel resulted in higher drug permeation amount and drug deposition withinporcine ear skin after 24 h penetration experiment. Conclusion TAA-SLN carbomer gel is preparedwith stable physicochemical properties. The release profile and improved drug permeation into skinmake it be a promising vehicle for transdermal drug delivery.
文摘Soil-water characteristic curves of expansive clay are usually measured in the laboratory, but soil suction in the field is extremely difficult and time consuming. The method of artificial neural network (ANN) is adopted to predict soil suction in the field by using measured water contents. This is done by training the network using laboratory measured soil-water characteristics. Prediction soil suction using the ANN with some limited in-situ measured water contents is compared with actual suction measurements in the field. Prediction results are discussed.
文摘Objective: To compare the efficacy and tolerability of letrozole with aminoglutethimide (AG) in postmenopausal women with advanced breast cancer. Methods: The multicenter, randomized controlled clinical trial was conducted in 113 patients. They randomly received letrozole 2.5 mg once daily (letrozole group) or AG 250 mg 4 times daily (AG group) with hydrocortisone. Results: The OR in letrozole group was 23.73% (2 cases of CR and 12 cases of PR, ITT OR was 21.88%), which was higher than in AG group (the OR 11.11%, 1 CASE of CR and 5 cases of PR, ITT 10.17%), but there was no statistically significant difference (P>0.05). Adverse events (AE) and the treatment related AE (RAE) in letrozole group (n=59) was 18.54% and 13.56% respectively, significantly lower than those (42.11% and 33.33% respectively) in AG group (n=57, P=0.002). Conclusion: The OR of letrozole in the treatment of postmenopausal advanced breast cancer positive or unknown for hormonal receptor is 23.73%, showing no significant difference to that of AG. The AE of letrozole are significantly less than AG.
文摘The adjusted GPS height is the height above the surface of the WGS-84ellipsoid. It is necessary to convert a GPS height into a normal height in engineering. The conicoidfitting method (CFM) and the neural networks method (NNM) are used for this purpose, but each ofthem has its advantages and disadvantages. After studying these two methods, a new method (abbr.CF&NNM) is conceived. The procedure of the CF&NNM is introduced. A practical engineering example isused to study these three different methods. The results by the three methods are listed. The CF&NNMmethod can produce better results than either the CFM or the NNM in deriving normal height from GPSheight. The theory of the CF&NNM method is analyzed.
基金supported in part by the National Key Research and Development Program of China(No.2017YFB0202900)the National Natural Science Foundation of China(Nos.41625017,41374121,and 91730306)
文摘In the field of seismic exploration, ground roll seriously affects the deep effective reflections from subsurface deep structures. Traditional curvelet transform cannot provide an adaptive basis function to achieve a suboptimal denoised result. In this paper, we propose a method based on empirical curvelet transform (ECT) for ground roll attenuation. Unlike the traditional curvelet transform, this method not only decomposes seismic data into multiscale and multi-directional components, but also provides an adaptive filter bank according to frequency content of seismic data itself. So, ground roll can be separated by using this method. However, as the frequency of reflection and ground roll components are close, we apply singular value decomposition (SVD) in the curvelet domain to differentiate the ground roll and reflection better. Examples of synthetic and field seismic data reveal that the proposed method based ECT performs better than the traditional curvelet method in terms of the suppression of ground roll.
基金founded by the National S&T Pillar Program (Grant no.2007BAC15B03)the Project for Knowledge Innovation Program of CAS (Grant no.066U0111SZ)
文摘Along with the economic development and the acceleration of urbanization,urban construction land expands rapidly in China,and has resulted in a series of socio-economic problems.This article summarized the major points of controlling the unchecked and rash expansion of construction land in the academic circle,and analyzed the problems of regulating the expansion of construction land from three aspects.First,this article analyzed the relationships between socio-economic development and urbanization from the historical viewpoints,and pointed out that the expansion of construction land is a historical phenomenon which will be surely appeared in the development of human race.Second,the authors utilized two-sector model to analyze the importance of urbanization in the socio-economic development from the academic angles.At last,the authors utilize four-quadrant model and bidrent curve model to analyze the influence that brought by the strict control of construction land expansion.Through analysis,this article drew some conclusions.First,the expansion of construction land is a phenomenon which will surely appear in the social development.It is impossible to accomplish the national modernization on the basis of dualistic structure between urban and rural areas.Second,under the function of rent gradient gap,strict control of construction land expansion will not only obtain the anticipated effects,but also cause a series of socio-economic problems,such as land-levying contradiction,the appearance of limited property right house,and being dependant on lease instead of expropriation.Third,unreasonable policies and governmental behaviors are the roots of the unchecked and rash expansion of urban construction land.Based on these conclusions,this article proposed that three transformations should be realized to regulate the unchecked and rash expansion of construction land:transfers from quantity regulation to quality regulation,from direct regulation to indirect regulation,and from single-measure regulation to multi-measures regulation.
文摘Brazil is one of the countries with the greatest biodiversity, being covered by diverse ecosystems. Native trees commercially planted generate numerous benefits for communities, providing cultural, recreational, tourism riches, as well as ecological benefits, such as nutrient regulation and carbon sequestration. Thus, this work aimed to generate potential distribution modeling for the Brazilian forest species, to provide information that will serve as a strategy for conservation, restoration and commercial plantation of them, that is, encouraging the use of legal native species in the forest sector. Eleven tree species and 19 bioclimatic variables were selected. The software Maxent 3.3.3 was applied in the generation of the distribution models and the area under the curve of receiver operating characteristic (AUC) was used to analyze the model. The Jackknife test contributed to identify which bioclimatic variables are most important or influential in the model. The models showed AUC values ranged from 0.857 to 0.983. The species with higher AUC values were Araucaria angustifolia, Mimosa scabrella and Euterpe edulis, respectively. The maximum temperature of warmest month showed the highest influence for the most species, followed by the mean diurnal range and annual precipitation. It was observed that for some species, there were restricted areas of environmental suitability, such as Araucaria angustifolia, Ilex paraguariensis and Mimosa scabrella. The models used could trace the potential distribution areas using the environmental variables, and these models contribute significantly to sustainable forest management.