With the increase in research on AI(Artificial Intelligence),the importance of DL(Deep Learning)in various fields,such as materials,biotechnology,genomes,and new drugs,is increasing significantly,thereby increasing th...With the increase in research on AI(Artificial Intelligence),the importance of DL(Deep Learning)in various fields,such as materials,biotechnology,genomes,and new drugs,is increasing significantly,thereby increasing the number of deep-learning framework users.However,to design a deep neural network,a considerable understanding of the framework is required.To solve this problem,a GUI(Graphical User Interface)-based DNN(Deep Neural Network)design tool is being actively researched and developed.The GUI-based DNN design tool can design DNNs quickly and easily.However,the existing GUI-based DNN design tool has certain limitations such as poor usability,framework dependency,and difficulty encountered in changing GUI components.In this study,a deep learning algorithm that solves the problem of poor usability was developed using a template to increase the accessibility for users.Moreover,the proposed tool was developed to save and share only the necessary parts for quick operation.To solve the framework dependency,we applied ONNX(Open Neural Network Exchange),which is an exchange standard for neural networks,and configured it such that DNNs designed with the existing deep-learning framework can be imported.Finally,to address the difficulty encountered in changing GUI components,we defined and developed the JSON format to quickly respond to version updates.The developed DL neural network designer was validated by running it with KISTI’s supercomputer-based AI Studio.展开更多
AIM： To explore the effect of Gui Zhi decoction on enteric mucosal immune in type Ⅱ collagen-induced arthritis （CIA） in DBA mice. METHODS： Eighty DBA/1, weighing 18-22 g, were randomly divided into four groups wi...AIM： To explore the effect of Gui Zhi decoction on enteric mucosal immune in type Ⅱ collagen-induced arthritis （CIA） in DBA mice. METHODS： Eighty DBA/1, weighing 18-22 g, were randomly divided into four groups with 20 in each group： control group, CIA group, treatment groups at high dosage and low dosage （GZH and GZL）. CIA was induced by immunization with type Ⅱ collagen （CII） emulsified with equal complete adjuvant at 0.1 mg CII each mouse. Blood lymphocyte suspension was screened for CD4 and CD8 expression using a flow cytometry, the CD4 and CD8 and secretory IgA （sIgA）-positive cells in enteric lamina propria tested with immunohistochemical staining. Tumor necrosis factor-alpha （TNF-α）, interleukin-1 （IL-1）-β, and IL-6 concentrations in serum were assayed with RIA. RESULTS： Gui Zhi decoction can lower the arthritic scores and decrease the occurrence of arthritis. The CD4, CD8, and sIgA-positive cells in CIA mice are less than in control mice, and in Gui Zhi decoction at high dosage could restore the lowered CD4- and CD8-positive cells in lamina propria, and at both high and low dosages could increase the lowered sIgA-positive cells in lamina propria, even still lower than in normal mice. In periphery, the CD4 cells in periphery are higher in CIA mice than in control mice, and Gui Zhi decoction at high and low dosages could decrease the CD4 and CD8 cells. Also, Gui Zhi decoction at high dosage could decrease the IL-6 and TNF-α concentration in serum. CONCLUSION： Gui Zhi decoction can lower the arthritic scores and decrease the incidence of CIA in mice, and the mechanism is in part regulating enteric mucosal immune.展开更多
With the continuous progress of new-type urbanization in Karst mountain area, how to correctly deal with the relationship between urban economy and land use are attracting much attention. Based on the land-use change ...With the continuous progress of new-type urbanization in Karst mountain area, how to correctly deal with the relationship between urban economy and land use are attracting much attention. Based on the land-use change data, this paper analyzes the characteristics of land use change and its driving factors in Guiyang with the method of land-use dynamic analysis, land utilization and factor correlation analysis. We get the following results:(1) the change of land use was obvious during 2004 and 2012. The area of arable land and other land were decreased, the rate of decrease are 3.89% and 8.24%. In the meantime, a series of construction land and forest area increased a lot, the rate of increase are 3.89% and 8.24%.(2) The integrated land use dynamic degree of two research stages(2004-2009 and 2009-2012) were decreased from 2.12% to 0.34%, this suggests dynamic changes of land tend to be stable.(3) Four kinds of Land use class have a great contribution to the index of land use degree respectively. The composite index of land use degree rose from 229.58 to 247.19 during 2004 and 2012; the land use is still in the development stage.(4) Economy, population, transportation and policy guidance are the main drivers of land use change.展开更多
基金This research was supported by the KISTI Program(No.K-20-L02-C05-S01)the EDISON Program through the National Research Foundation of Korea(NRF)(No.NRF-2011-0020576).A grant was also awarded by the Ministry of Science and ICT(MSIT)under the Program for Returners for R&D.
文摘With the increase in research on AI(Artificial Intelligence),the importance of DL(Deep Learning)in various fields,such as materials,biotechnology,genomes,and new drugs,is increasing significantly,thereby increasing the number of deep-learning framework users.However,to design a deep neural network,a considerable understanding of the framework is required.To solve this problem,a GUI(Graphical User Interface)-based DNN(Deep Neural Network)design tool is being actively researched and developed.The GUI-based DNN design tool can design DNNs quickly and easily.However,the existing GUI-based DNN design tool has certain limitations such as poor usability,framework dependency,and difficulty encountered in changing GUI components.In this study,a deep learning algorithm that solves the problem of poor usability was developed using a template to increase the accessibility for users.Moreover,the proposed tool was developed to save and share only the necessary parts for quick operation.To solve the framework dependency,we applied ONNX(Open Neural Network Exchange),which is an exchange standard for neural networks,and configured it such that DNNs designed with the existing deep-learning framework can be imported.Finally,to address the difficulty encountered in changing GUI components,we defined and developed the JSON format to quickly respond to version updates.The developed DL neural network designer was validated by running it with KISTI’s supercomputer-based AI Studio.
基金Supported by the project of National Natural Science Foundation of China, No. 30171133 and 39870952
文摘AIM： To explore the effect of Gui Zhi decoction on enteric mucosal immune in type Ⅱ collagen-induced arthritis （CIA） in DBA mice. METHODS： Eighty DBA/1, weighing 18-22 g, were randomly divided into four groups with 20 in each group： control group, CIA group, treatment groups at high dosage and low dosage （GZH and GZL）. CIA was induced by immunization with type Ⅱ collagen （CII） emulsified with equal complete adjuvant at 0.1 mg CII each mouse. Blood lymphocyte suspension was screened for CD4 and CD8 expression using a flow cytometry, the CD4 and CD8 and secretory IgA （sIgA）-positive cells in enteric lamina propria tested with immunohistochemical staining. Tumor necrosis factor-alpha （TNF-α）, interleukin-1 （IL-1）-β, and IL-6 concentrations in serum were assayed with RIA. RESULTS： Gui Zhi decoction can lower the arthritic scores and decrease the occurrence of arthritis. The CD4, CD8, and sIgA-positive cells in CIA mice are less than in control mice, and in Gui Zhi decoction at high dosage could restore the lowered CD4- and CD8-positive cells in lamina propria, and at both high and low dosages could increase the lowered sIgA-positive cells in lamina propria, even still lower than in normal mice. In periphery, the CD4 cells in periphery are higher in CIA mice than in control mice, and Gui Zhi decoction at high and low dosages could decrease the CD4 and CD8 cells. Also, Gui Zhi decoction at high dosage could decrease the IL-6 and TNF-α concentration in serum. CONCLUSION： Gui Zhi decoction can lower the arthritic scores and decrease the incidence of CIA in mice, and the mechanism is in part regulating enteric mucosal immune.
文摘With the continuous progress of new-type urbanization in Karst mountain area, how to correctly deal with the relationship between urban economy and land use are attracting much attention. Based on the land-use change data, this paper analyzes the characteristics of land use change and its driving factors in Guiyang with the method of land-use dynamic analysis, land utilization and factor correlation analysis. We get the following results:(1) the change of land use was obvious during 2004 and 2012. The area of arable land and other land were decreased, the rate of decrease are 3.89% and 8.24%. In the meantime, a series of construction land and forest area increased a lot, the rate of increase are 3.89% and 8.24%.(2) The integrated land use dynamic degree of two research stages(2004-2009 and 2009-2012) were decreased from 2.12% to 0.34%, this suggests dynamic changes of land tend to be stable.(3) Four kinds of Land use class have a great contribution to the index of land use degree respectively. The composite index of land use degree rose from 229.58 to 247.19 during 2004 and 2012; the land use is still in the development stage.(4) Economy, population, transportation and policy guidance are the main drivers of land use change.
