Aiming at the safety problems of toxic,flammable and explosive chemicals used in middle school chemical experiments,such as human poi-soning,skin corrosion,fire or explosion caused by improper experimental operation,a...Aiming at the safety problems of toxic,flammable and explosive chemicals used in middle school chemical experiments,such as human poi-soning,skin corrosion,fire or explosion caused by improper experimental operation,a virtual simulation method of chemical experiments based on unity is proposed.Due to the need to analyze and compare the data in chemical experiments,summarize the experimental characteristics and data relevance.Therefore,based on the Apriori algorithm,this method deeply excavates the data obtained in the chemical experiment,uses Maya to model the experimental environment,uses unity to design the interactive functions in the experimental process,and uses visual effect graph technology,shader graph technology and other methods to realize the special effect simula-tion of various chemical experiments.With this method,the virtual simula-tion prototype system of middle school chemistry experiment is developed.The example shows that this method can vividly and realistically reproduce the simulation effect of chemical experiment,find the correlation between the experimental data,classification,properties and the overall characteristics of the data,describe and predict the development trend of the data,so as to make better use of these data to provide support for chemical experiment,and not only solve the problems of poisoning,corrosion of skin and It also solves the problems that it is difficult to scientifically compare data and find data relevance in traditional chemical experiments.展开更多
[Objectives]To explore the growth characteristics,nitrogen metabolism and curing characteristics of the new variety NC71 in strongly aromatic tobacco leaves production area.[Methods]With Yunyan 87 as the control and N...[Objectives]To explore the growth characteristics,nitrogen metabolism and curing characteristics of the new variety NC71 in strongly aromatic tobacco leaves production area.[Methods]With Yunyan 87 as the control and NC71 as the experimental material,the experiment was carried out in Nanyang tobacco area for two consecutive years to study the growth characteristics of tobacco plants,the activity of key enzymes in nitrogen metabolism,the content of secondary metabolites,and the differences of tobacco-related water content,PPO enzyme activity and total phenol content.[Results]NC71 plants had lower height,better appearance quality and lower nicotine,total sugar and chlorine content.NC71 high nitrogen treatment and Yunyan 87 medium nitrogen treatment had similar key enzyme activity of nitrogen metabolism,content of secondary metabolites;Yunyan 87 and NC71 were easy to cure and resistant to curing.[Conclusions]This study provides a reference for measuring the appropriate nitrogen application rate and optimizing the curing process from the activities of the key enzymes NR and GS in nitrogen metabolism at the mature stage of the variety.展开更多
Sparse Matrix Vector Multiplication (SpMV) is one of the most basic problems in scientific and engineering computations. It is the basic operation in many realms, such as solving linear systems or eigenvalue problems....Sparse Matrix Vector Multiplication (SpMV) is one of the most basic problems in scientific and engineering computations. It is the basic operation in many realms, such as solving linear systems or eigenvalue problems. Nowadays, more than 90 percent of the world’s highest performance parallel computers in the top 500 use multicore architecture. So it is important practically to design the efficient methods of computing SpMV on multicore parallel computers. Usually, algorithms based on compressed sparse row (CSR) format suffer from a number of nonzero elements on each row so hardly as to use the multicore structure efficiently. Compressed Sparse Block (CSB) format is an effective storage format which can compute SpMV efficiently in a multicore computer. This paper presents a parallel multicore CSB format and SpMV based on it. We carried out numerical experiments on a parallel multicore computer. The results show that our parallel multicore CSB format and SpMV algorithm can reach high speedup, and they are highly scalable for banded matrices.展开更多
文摘Aiming at the safety problems of toxic,flammable and explosive chemicals used in middle school chemical experiments,such as human poi-soning,skin corrosion,fire or explosion caused by improper experimental operation,a virtual simulation method of chemical experiments based on unity is proposed.Due to the need to analyze and compare the data in chemical experiments,summarize the experimental characteristics and data relevance.Therefore,based on the Apriori algorithm,this method deeply excavates the data obtained in the chemical experiment,uses Maya to model the experimental environment,uses unity to design the interactive functions in the experimental process,and uses visual effect graph technology,shader graph technology and other methods to realize the special effect simula-tion of various chemical experiments.With this method,the virtual simula-tion prototype system of middle school chemistry experiment is developed.The example shows that this method can vividly and realistically reproduce the simulation effect of chemical experiment,find the correlation between the experimental data,classification,properties and the overall characteristics of the data,describe and predict the development trend of the data,so as to make better use of these data to provide support for chemical experiment,and not only solve the problems of poisoning,corrosion of skin and It also solves the problems that it is difficult to scientifically compare data and find data relevance in traditional chemical experiments.
基金Supported by Key Project of Nanping Tobacco Company of Fujian Province(NYK2021-09-03)Key Project of Tongren Tobacco Company of Guizhou Province(202101).
文摘[Objectives]To explore the growth characteristics,nitrogen metabolism and curing characteristics of the new variety NC71 in strongly aromatic tobacco leaves production area.[Methods]With Yunyan 87 as the control and NC71 as the experimental material,the experiment was carried out in Nanyang tobacco area for two consecutive years to study the growth characteristics of tobacco plants,the activity of key enzymes in nitrogen metabolism,the content of secondary metabolites,and the differences of tobacco-related water content,PPO enzyme activity and total phenol content.[Results]NC71 plants had lower height,better appearance quality and lower nicotine,total sugar and chlorine content.NC71 high nitrogen treatment and Yunyan 87 medium nitrogen treatment had similar key enzyme activity of nitrogen metabolism,content of secondary metabolites;Yunyan 87 and NC71 were easy to cure and resistant to curing.[Conclusions]This study provides a reference for measuring the appropriate nitrogen application rate and optimizing the curing process from the activities of the key enzymes NR and GS in nitrogen metabolism at the mature stage of the variety.
文摘Sparse Matrix Vector Multiplication (SpMV) is one of the most basic problems in scientific and engineering computations. It is the basic operation in many realms, such as solving linear systems or eigenvalue problems. Nowadays, more than 90 percent of the world’s highest performance parallel computers in the top 500 use multicore architecture. So it is important practically to design the efficient methods of computing SpMV on multicore parallel computers. Usually, algorithms based on compressed sparse row (CSR) format suffer from a number of nonzero elements on each row so hardly as to use the multicore structure efficiently. Compressed Sparse Block (CSB) format is an effective storage format which can compute SpMV efficiently in a multicore computer. This paper presents a parallel multicore CSB format and SpMV based on it. We carried out numerical experiments on a parallel multicore computer. The results show that our parallel multicore CSB format and SpMV algorithm can reach high speedup, and they are highly scalable for banded matrices.
