Hevein, a lectin_like protein, is a major factor of lutoids in the latex of rubber trees ( Hevea brasiliensis Muell._Arg.). This factor is involved in coagulation of the latex and has the ability to bind chitin. Th...Hevein, a lectin_like protein, is a major factor of lutoids in the latex of rubber trees ( Hevea brasiliensis Muell._Arg.). This factor is involved in coagulation of the latex and has the ability to bind chitin. The hevein gene with a length of 680 bp was cloned by the method of RT_PCR. Its promoter region with 1 306 bp of this gene was also isolated by genome walking, and its sequence included the typical TATA and CAAT boxes as well as the homologous sequence of abscisic acid (ABA) response elements. Expression of the hevein gene in the latex and leaves was detected by Northern blot. After treatment of the trees with ethylene and ABA, the results showed that the hevein gene was expressed principally in latex, and the expression could be induced by ethylene and ABA.展开更多
To overcome some drawbacks of Viterbi algorithm （VA）, such as exponential growing complexity of decoding, and its poor performance under bad channel conditions, some available known information must be used as cons...To overcome some drawbacks of Viterbi algorithm （VA）, such as exponential growing complexity of decoding, and its poor performance under bad channel conditions, some available known information must be used as constrained condition and apriori knowledge for decoding. A new constrained VA is proposed by adding con- straint bits directly for conventional codec. Compared with the conventional VA, under the bad channel condi- tion, the proposed scheme can improve the peak signal to noise ratio （PSNR） of the decoding image 2--10 dB by changing the number of constrained bits. Experimental results show that it is an efficient error-controlling way for the transmission of set partitioning in hierarchical trees （SPIHT） coded image.展开更多
A new algorithm based on an FC-tree （frequent closed pattern tree） and a max-FCIA （maximal frequent closed itemsets algorithm） is presented, which is used to mine the frequent closed itemsets for solving memory an...A new algorithm based on an FC-tree （frequent closed pattern tree） and a max-FCIA （maximal frequent closed itemsets algorithm） is presented, which is used to mine the frequent closed itemsets for solving memory and time consuming problems. This algorithm maps the transaction database by using a Hash table,gets the support of all frequent itemsets through operating the Hash table and forms a lexicographic subset tree including the frequent itemsets.Efficient pruning methods are used to get the FC-tree including all the minimum frequent closed itemsets through processing the lexicographic subset tree.Finally,frequent closed itemsets are generated from minimum frequent closed itemsets.The experimental results show that the mapping transaction database is introduced in the algorithm to reduce time consumption and to improve the efficiency of the program.Furthermore,the effective pruning strategy restrains the number of candidates,which saves space.The results show that the algorithm is effective.展开更多
An Oracle8i-based approach is proposed to manage the integrated databases oflarge CyberCity. This approach consists of three schemes: ① a special R+-tree index is designed toaccelerate spatial retrieving, in which th...An Oracle8i-based approach is proposed to manage the integrated databases oflarge CyberCity. This approach consists of three schemes: ① a special R+-tree index is designed toaccelerate spatial retrieving, in which the bounding boxes of local regions have no intersection andall leaf nodes of the R+-tree (geometry records ) have no repetition; ② different data compressionalgorithms are adopted to compress the digital elevation models, 3D vector models and images, suchas LZ77 lossless compression algorithm for compression of vector data and JPEG compressionalgorithms for texture images; ③ in order to communicate with Oracle8i database, a CyberCity GIS.spatial database engine (SDE) is designed. On the basis of this SDE prototype a case study is done.展开更多
The technique of adaptive tree mesh is an effective way to reduce computational cost through automatic adjustment of cell size according to necessity. In the present study, the 2D numerical N-S solver based on the ada...The technique of adaptive tree mesh is an effective way to reduce computational cost through automatic adjustment of cell size according to necessity. In the present study, the 2D numerical N-S solver based on the adaptive quadtree mesh system was extended to a 3D one, in which a spatially adaptive oetree mesh system and multiple particle level set method were adopted for the convenience to deal with the air-water-structure multiple-medium coexisting domain. The stretching process of a dumbbell was simulated and the results indicate that the meshes are well adaptable to the free surface. The collapsing process of water column impinging a circle cylinder was simulated and from the results, it can be seen that the processes of fluid splitting and merging are properly simulated. The interaction of second-order Stokes waves with a square cylinder was simulated and the obtained drag force is consistent with the result by the Morison＇s wave force formula with the coefficient values of the stable drag component and the inertial force component bein~ set as 2.54.展开更多
In machine learning,randomness is a crucial factor in the success of ensemble learning,and it can be injected into tree-based ensembles by rotating the feature space.However,it is a common practice to rotate the featu...In machine learning,randomness is a crucial factor in the success of ensemble learning,and it can be injected into tree-based ensembles by rotating the feature space.However,it is a common practice to rotate the feature space randomly.Thus,a large number of trees are required to ensure the performance of the ensemble model.This random rotation method is theoretically feasible,but it requires massive computing resources,potentially restricting its applications.A multimodal genetic algorithm based rotation forest(MGARF)algorithm is proposed in this paper to solve this problem.It is a tree-based ensemble learning algorithm for classification,taking advantage of the characteristic of trees to inject randomness by feature rotation.However,this algorithm attempts to select a subset of more diverse and accurate base learners using the multimodal optimization method.The classification accuracy of the proposed MGARF algorithm was evaluated by comparing it with the original random forest and random rotation ensemble methods on 23 UCI classification datasets.Experimental results show that the MGARF method outperforms the other methods,and the number of base learners in MGARF models is much fewer.展开更多
The pot experiments were conducted to study the effects of intercropping with Pseudostellaria maximowicziana,Malachiumaquaticum and Stellaria media on Cd accumulation of Cyphomandra betacea seedlings.Compared with the...The pot experiments were conducted to study the effects of intercropping with Pseudostellaria maximowicziana,Malachiumaquaticum and Stellaria media on Cd accumulation of Cyphomandra betacea seedlings.Compared with the monoculture,intercropping with Caryophyllaceae endarachneyllaceae accumulator plants decreased the biomass of C.betacea seedlings,and also reduced the photosynthetic pigment contents in C.betacea seedlings,which involve chlorophyll a,chlorophyll b,total chlorophyll and carotenoid.Intercropping with P.maximowicziana and M.aquaticum increased the Cd contents in shoots of C.betacea seedlings,which increased by 65.02%and 25.61%,respectively,compared with the monoculture.Intercropping with S.media reduced the Cd contents in shoots of C.betacea seedlings,which were reduced by 4.68%compared with the monoculture.When intercropping with C.betacea seedlings,the Cd accumulation amounts of 3 Caryophyllaceae accumulator plants were ranked as S.media>P.maximowicziana>M.aquaticum.Intercropping with S.media could effectively reduce Cd accumulation of C.betacea seedlings under Cd-contaminated soil condition.展开更多
文摘Hevein, a lectin_like protein, is a major factor of lutoids in the latex of rubber trees ( Hevea brasiliensis Muell._Arg.). This factor is involved in coagulation of the latex and has the ability to bind chitin. The hevein gene with a length of 680 bp was cloned by the method of RT_PCR. Its promoter region with 1 306 bp of this gene was also isolated by genome walking, and its sequence included the typical TATA and CAAT boxes as well as the homologous sequence of abscisic acid (ABA) response elements. Expression of the hevein gene in the latex and leaves was detected by Northern blot. After treatment of the trees with ethylene and ABA, the results showed that the hevein gene was expressed principally in latex, and the expression could be induced by ethylene and ABA.
文摘To overcome some drawbacks of Viterbi algorithm （VA）, such as exponential growing complexity of decoding, and its poor performance under bad channel conditions, some available known information must be used as constrained condition and apriori knowledge for decoding. A new constrained VA is proposed by adding con- straint bits directly for conventional codec. Compared with the conventional VA, under the bad channel condi- tion, the proposed scheme can improve the peak signal to noise ratio （PSNR） of the decoding image 2--10 dB by changing the number of constrained bits. Experimental results show that it is an efficient error-controlling way for the transmission of set partitioning in hierarchical trees （SPIHT） coded image.
基金The National Natural Science Foundation of China(No.60603047)the Natural Science Foundation of Liaoning ProvinceLiaoning Higher Education Research Foundation(No.2008341)
文摘A new algorithm based on an FC-tree （frequent closed pattern tree） and a max-FCIA （maximal frequent closed itemsets algorithm） is presented, which is used to mine the frequent closed itemsets for solving memory and time consuming problems. This algorithm maps the transaction database by using a Hash table,gets the support of all frequent itemsets through operating the Hash table and forms a lexicographic subset tree including the frequent itemsets.Efficient pruning methods are used to get the FC-tree including all the minimum frequent closed itemsets through processing the lexicographic subset tree.Finally,frequent closed itemsets are generated from minimum frequent closed itemsets.The experimental results show that the mapping transaction database is introduced in the algorithm to reduce time consumption and to improve the efficiency of the program.Furthermore,the effective pruning strategy restrains the number of candidates,which saves space.The results show that the algorithm is effective.
基金Project supported by the National Key Basic Research and Development Program (No. 2002CB312101) the National Natural Science Foundation of China (No.40001017).
文摘An Oracle8i-based approach is proposed to manage the integrated databases oflarge CyberCity. This approach consists of three schemes: ① a special R+-tree index is designed toaccelerate spatial retrieving, in which the bounding boxes of local regions have no intersection andall leaf nodes of the R+-tree (geometry records ) have no repetition; ② different data compressionalgorithms are adopted to compress the digital elevation models, 3D vector models and images, suchas LZ77 lossless compression algorithm for compression of vector data and JPEG compressionalgorithms for texture images; ③ in order to communicate with Oracle8i database, a CyberCity GIS.spatial database engine (SDE) is designed. On the basis of this SDE prototype a case study is done.
基金Supported by the National Natural Science Foundation of China(No.51379143 and No.51109018)the Foundation for Innovative Research Groups of the National Natural Science Foundation of China(No.51021004)+1 种基金the Open Foundation of Key Laboratory of Water-Sediment Science and Water Disaster Prevention of Hunan Province(No.2014SS01)the Open Foundation of State Key Laboratory of Hydraulic Engineering Simulation and Safety(No.HSSKLTJU-201208)
文摘The technique of adaptive tree mesh is an effective way to reduce computational cost through automatic adjustment of cell size according to necessity. In the present study, the 2D numerical N-S solver based on the adaptive quadtree mesh system was extended to a 3D one, in which a spatially adaptive oetree mesh system and multiple particle level set method were adopted for the convenience to deal with the air-water-structure multiple-medium coexisting domain. The stretching process of a dumbbell was simulated and the results indicate that the meshes are well adaptable to the free surface. The collapsing process of water column impinging a circle cylinder was simulated and from the results, it can be seen that the processes of fluid splitting and merging are properly simulated. The interaction of second-order Stokes waves with a square cylinder was simulated and the obtained drag force is consistent with the result by the Morison＇s wave force formula with the coefficient values of the stable drag component and the inertial force component bein~ set as 2.54.
基金Project(61603274)supported by the National Natural Science Foundation of ChinaProject(2017KJ249)supported by the Research Project of Tianjin Municipal Education Commission,China。
文摘In machine learning,randomness is a crucial factor in the success of ensemble learning,and it can be injected into tree-based ensembles by rotating the feature space.However,it is a common practice to rotate the feature space randomly.Thus,a large number of trees are required to ensure the performance of the ensemble model.This random rotation method is theoretically feasible,but it requires massive computing resources,potentially restricting its applications.A multimodal genetic algorithm based rotation forest(MGARF)algorithm is proposed in this paper to solve this problem.It is a tree-based ensemble learning algorithm for classification,taking advantage of the characteristic of trees to inject randomness by feature rotation.However,this algorithm attempts to select a subset of more diverse and accurate base learners using the multimodal optimization method.The classification accuracy of the proposed MGARF algorithm was evaluated by comparing it with the original random forest and random rotation ensemble methods on 23 UCI classification datasets.Experimental results show that the MGARF method outperforms the other methods,and the number of base learners in MGARF models is much fewer.
文摘The pot experiments were conducted to study the effects of intercropping with Pseudostellaria maximowicziana,Malachiumaquaticum and Stellaria media on Cd accumulation of Cyphomandra betacea seedlings.Compared with the monoculture,intercropping with Caryophyllaceae endarachneyllaceae accumulator plants decreased the biomass of C.betacea seedlings,and also reduced the photosynthetic pigment contents in C.betacea seedlings,which involve chlorophyll a,chlorophyll b,total chlorophyll and carotenoid.Intercropping with P.maximowicziana and M.aquaticum increased the Cd contents in shoots of C.betacea seedlings,which increased by 65.02%and 25.61%,respectively,compared with the monoculture.Intercropping with S.media reduced the Cd contents in shoots of C.betacea seedlings,which were reduced by 4.68%compared with the monoculture.When intercropping with C.betacea seedlings,the Cd accumulation amounts of 3 Caryophyllaceae accumulator plants were ranked as S.media>P.maximowicziana>M.aquaticum.Intercropping with S.media could effectively reduce Cd accumulation of C.betacea seedlings under Cd-contaminated soil condition.
