This paper delineates the images of Jiangxi Province as tourist destination perceived by about 2000 sample visitors at Lushan Mountain and other 3 famous resorts (Jinggangshan Mountains, Longhushan Mountain, and Sanqi...This paper delineates the images of Jiangxi Province as tourist destination perceived by about 2000 sample visitors at Lushan Mountain and other 3 famous resorts (Jinggangshan Mountains, Longhushan Mountain, and Sanqingshan Mountain), with a result that the most common image is the famous scenic mountain image with partial attribute of image of religious culture destination. In order to reveal the similarities and dissimilarities of images among the four destinations, a correspondence analysis on 16 image attributes was employed. The results indicate that the tourists’ images on Longhushan Mountain, Sanqingshan Mountain and Lushan Mountain are very similar: having a lot of good tourist sites, famous mountain scenery, being close to nature and having good guide service, and others, but religious culture and good shopping facilities having not made deep impression on tourist, while Jinggangshan Mountains is famous for its red culture. The correspondence analysis visualizes the strengths and weaknesses of the destinations, which is useful for market positioning among the competitive places. Finally, some marketing suggestions for the four destinations were provided.展开更多
From a regulatory perspective,drug quality consistency evaluation must concern different processes used for the same drug.In this study,an assessment strategy based on quality by design(QbD)was developed for populatio...From a regulatory perspective,drug quality consistency evaluation must concern different processes used for the same drug.In this study,an assessment strategy based on quality by design(QbD)was developed for population pharmaceutical quality evaluation.A descriptive analysis method based on QbD concept was first established to characterize the process by critical evaluation attributes(CEAs).Then quantitative analysis method based on an improved statistical process control(SPC)method was established to investigate the process indicators(PIs)in the process population,such as mean distribution,batch-to-batch difference and abnormal quality probability.After that rules for risk assessment were established based on the SPC limitations and parameters.Both the SPC parameters of the CEAs and the risk of PIs were visualized according to the interaction test results to obtain a better understanding of the population pharmaceutical quality.Finally,an assessment strategy was built and applied to generic drug consistency assessment,process risk assessment and quality trend tracking.The strategy demonstrated in this study could help reveal quality consistency from the perspective of process control and process risk,and further show the recent development status of domestic pharmaceutical production processes.In addition,a process risk assessment and population quality trend tracking provide databased information for approval.Not only can this information serve as a further basis for decisionmaking by the regulatory authority regarding early warnings,but it can also reduce some avoidable adverse reactions.With continuous addition of data,dynamic population pharmaceutical quality is meaningful for emergencies and decision-making regarding drug regulation.展开更多
In this paper, a parallel algorithm is presented for the evaluation of ordered attribute grammars. The parallelism is achieved by constructing the so-called parallel visit sequences and accordingly augmenting the ordi...In this paper, a parallel algorithm is presented for the evaluation of ordered attribute grammars. The parallelism is achieved by constructing the so-called parallel visit sequences and accordingly augmenting the ordinary evaluation driver as well. For experimental purposes, the algorithm has been implemented by simulation展开更多
CCD is an integrated software tool which is intended to support the coding and debugging for C language. It integrates a hybrid editor,an incremental semantic analyzer,a multi-entry parser,an incremental unpaser and a...CCD is an integrated software tool which is intended to support the coding and debugging for C language. It integrates a hybrid editor,an incremental semantic analyzer,a multi-entry parser,an incremental unpaser and a source-level debugger into a single tool.The integration is realized by sharing common knowledge,among all the components of the system and by task-oriented comhination of the components.Nonlocal attribute grammar is adopted for specifying the common knowledge about the syntax and semantics of C language.The incremental attri bute evaluation is used to implement the semantic analyzer and the unparser to increase system efficiency.CCD keeps the preprocessors and comments most regular to make it practical.展开更多
文摘This paper delineates the images of Jiangxi Province as tourist destination perceived by about 2000 sample visitors at Lushan Mountain and other 3 famous resorts (Jinggangshan Mountains, Longhushan Mountain, and Sanqingshan Mountain), with a result that the most common image is the famous scenic mountain image with partial attribute of image of religious culture destination. In order to reveal the similarities and dissimilarities of images among the four destinations, a correspondence analysis on 16 image attributes was employed. The results indicate that the tourists’ images on Longhushan Mountain, Sanqingshan Mountain and Lushan Mountain are very similar: having a lot of good tourist sites, famous mountain scenery, being close to nature and having good guide service, and others, but religious culture and good shopping facilities having not made deep impression on tourist, while Jinggangshan Mountains is famous for its red culture. The correspondence analysis visualizes the strengths and weaknesses of the destinations, which is useful for market positioning among the competitive places. Finally, some marketing suggestions for the four destinations were provided.
基金The National Major Scientific and Technological Special Project for‘Significant New Drugs Development’(Grant No.:2017ZX0901001-007)provides support for this study.
文摘From a regulatory perspective,drug quality consistency evaluation must concern different processes used for the same drug.In this study,an assessment strategy based on quality by design(QbD)was developed for population pharmaceutical quality evaluation.A descriptive analysis method based on QbD concept was first established to characterize the process by critical evaluation attributes(CEAs).Then quantitative analysis method based on an improved statistical process control(SPC)method was established to investigate the process indicators(PIs)in the process population,such as mean distribution,batch-to-batch difference and abnormal quality probability.After that rules for risk assessment were established based on the SPC limitations and parameters.Both the SPC parameters of the CEAs and the risk of PIs were visualized according to the interaction test results to obtain a better understanding of the population pharmaceutical quality.Finally,an assessment strategy was built and applied to generic drug consistency assessment,process risk assessment and quality trend tracking.The strategy demonstrated in this study could help reveal quality consistency from the perspective of process control and process risk,and further show the recent development status of domestic pharmaceutical production processes.In addition,a process risk assessment and population quality trend tracking provide databased information for approval.Not only can this information serve as a further basis for decisionmaking by the regulatory authority regarding early warnings,but it can also reduce some avoidable adverse reactions.With continuous addition of data,dynamic population pharmaceutical quality is meaningful for emergencies and decision-making regarding drug regulation.
文摘In this paper, a parallel algorithm is presented for the evaluation of ordered attribute grammars. The parallelism is achieved by constructing the so-called parallel visit sequences and accordingly augmenting the ordinary evaluation driver as well. For experimental purposes, the algorithm has been implemented by simulation
文摘CCD is an integrated software tool which is intended to support the coding and debugging for C language. It integrates a hybrid editor,an incremental semantic analyzer,a multi-entry parser,an incremental unpaser and a source-level debugger into a single tool.The integration is realized by sharing common knowledge,among all the components of the system and by task-oriented comhination of the components.Nonlocal attribute grammar is adopted for specifying the common knowledge about the syntax and semantics of C language.The incremental attri bute evaluation is used to implement the semantic analyzer and the unparser to increase system efficiency.CCD keeps the preprocessors and comments most regular to make it practical.