Web文档的自隐自现导航目录页的设计

本文介绍一种实用新颖的自隐自现导航目录页的设计方法,这种目录页既能为文档浏览者导航,又可节省版面空间,其设计技巧特别是对于教学网页的设计有一定指导意义。

极化子自陷能的温度依赖性

本文讨论了界面磁极化子自陷能的温度依赖性

Searching Development-deficient Genes in Edible Mushroom by Self-crossing

[Objective] This study aimed to investigate the effect of mating factor recombination on the development of edible mushroom,and explore the possibility for using self-crossing to breed sporeless/low sporing mushroom strains.[Method] Selecting Agrocybe salicacola strain YAASM0711 as the self-crossing material,six self-crossed combinations were directionally constructed with single spore growth rate as an indicator,to carry out comprehensive analysis of the qualitative traits（color,deformity and growth characteristics）,quantitative traits（shape,yield,size and number of fruit bodies） and mating types of its self-crossed F1 progenies.[Result] After mating factor recombination,self-crossed single spore progenies showed serious genetic differentiation,the average mycelial growth rate and agronomic traits of inbred progenies were lower than those of the parents.The phenotype in fruiting body formation could be divided into normal fruiting and abnormal fruiting（including abnormal fruiting bodies,sporeless or low sporing fruiting bodies,no fruiting）.To be specific,18% self-crossed strains had superior agronomic traits to the parents,which can be used for selecting predominant strains from self-crossed progeny populations based on different breeding purposes.[Conclusion] The genes controlling mycelial growth rate of single spore were linked with mating factors.The mating factor-recombinant single spore strains could be selected according to the correlation between mating type and growth rate.The fruiting result of self-crossed strains indicated that the genes related to sporeless/low sporing development were recessive.Not only genetic materials harboring development-deficient genes in edible mushroom can be obtained by self-crossing,but also the sporeless/low sporing mutant strains with important application prospects can be bred.

Using LSA and text segmentation to improve automatic Chinese dialogue text summarization

Automatic Chinese text summarization for dialogue style is a relatively new research area. In this paper, Latent Semantic Analysis （LSA） is first used to extract semantic knowledge from a given document, all question paragraphs are identified, an automatic text segmentation approach analogous to Text＇filing is exploited to improve the precision of correlating question paragraphs and answer paragraphs, and finally some ＂important＂ sentences are extracted from the generic content and the question-answer pairs to generate a complete summary. Experimental results showed that our approach is highly efficient and improves significantly the coherence of the summary while not compromising informativeness.

Image Hiding Algorithm in Discrete Cosine Transform Domain Based on Grey Prediction and Grey Relational Analysis

Traditional information hiding algorithms cannot maintain a good balance of capacity,invisibility and robustness.In this paper,a novel blind colour image information hiding algorithm based on grey prediction and grey relational analysis in the Discrete Cosine Transform(DCT) domain is proposed.First,this algorithm compresses the secret image losslessly based on the improved grey prediction GM(1,1)(IGM) model.It then chooses the blocks of rich texture in the cover image as the embedding regions using Double-dimension Grey Relational Analysis(DGRA).Finally,it adaptively embeds the compressed secret bits stream into the DCT domain mid-frequency coefficients,which are decided by those blocks' Double-Dimension Grey Correlation Degree(DGCD) and Human Visual System(HVS).This method can ensure an adequate balance between invisibility,capacity and robustness.Experimental results show that the proposed algorithm is robust against JPEG compression(46.724 6 dB when the compression quality factor is 90%),Gaussian noise(45.531 3 dB when the parameter is(0,0.000 5)) etc.,and it is a blind information hiding algorithm that can be extracted without an original carrier.

Peculiar Quantum Phase Transitions and Hidden Supersymmetry in a Lipkin-Meshkov-Glick Model

In this paper we theoretically report an unconventional quantum phase transition of a simple Lipkin- Meshkow-Glick model： an interacting collective spin system without external magnetic field. It is shown that this model with integer-spin can exhibit a flrst-order quantum phase transition between different disordered phases, and more intriguingly, possesses a hidden supersymmetry at the critical point. However, for half-integer spin we predict another flrst-order quantum phase transition between two different long-range-ordered phases with a vanishing energy gap, which is induced by the destructive topological quantum interference between the intanton and anti-instanton tunneling paths and accompanies spontaneously breaking of supersymmetry at the same critical point. We also show that, when the total spin-value varies from half-integer to integer this model can exhibit an abrupt variation of Berry phase from π to zero.

Effect of poly(ethylene glycol) modified polyethylenimine polyelectrolyte complex on pharmaceutical characteristics and uptake on breast cancer cell

Cationic polyethylenimine （PEI） with dextran fluorescein anionic （DFA） or oligodeoxynucleotide （ODN） could form polyelectrolyte complex by self-assembly as a gene delivery vector. This study was designed to investigate the effects on pharmaceutical characteristics and cell uptake PEI after a long-circulation modification with poly（ethylene glycol） （PEG）. DFA or ODN reacted with PEI or PEI-PEG to form polyelectrolyte complexes. Surface characters of these complexes and the retardation of ODN by PEI and PEI-PEG were evaluated. The uptake rates of DFA/PEI and DFA/PEI-PEG complexes by MCF-7 cells were evaluated by flow cytometry. Confocal laser scanning microscopy was utilized to visualize the internalization of these complexes. ODN/PEI complex showed the dependence of their size and ξ potential on the N/P ratio. ODN/PEI-PEG complex were much less affected by N/P ratio and their size was around 30 100 nm. PEI and PEI-PEG retarded ODN even at N/P ratio as low as 4, and complete retardation was found at N/P ratio of 8. The uptake rate by MCF-7 cells was direct correlated to the DFA concentration and incubation time, and the uptake rate could exceed 99% under the selected condition. The results in this study showed that PEI self-assembly polyelectrolyte complex after stealth or long circulation modification may increase the ability as a gene vector to delivery genes into cells.

Existence of Solutions for Nonlinear Implicit Complementarity Problems in Reflexive Banach Spaces

In this paper,we prove existence results of soutions for the nonlinear implicit complementarity problems NICP(T,S,K) where K is a closed weakly locally compact convex cone in a reflexive Banach space E,T is a nonlinear operator from K into E* (i. e.,the dual space of E) and S is a nonlinear operator from K into E. Our results are the essential improvements and extension of the results obtained previously by several authors including Thera,Ding,and Zeng.

Value Disclosure of Young Adults Through Social Media in the Iraqi Kurdistan Region as an Emerging Democracy

This study examines how accurate young adults in the Iraqi Kurdistan Region, as an emerging democracy in the Middle East, express their core values through social media （Facebook in this context）. It also explores whether privacy affects with value disclosure. Findings show that value disclosure and definition of privacy varied greatly among respondents and from one value to another. Based on in-depth interview with 12 young adults, the study finds that religious, social, and cultural values have been easily and freely expressed on Facebook accounts by the majority of young adults, whereas other values such as honesty, freedom of speech, and political beliefs are being held by others mainly for privacy issues and political reasons. Democracy was a core value for some young adults seeking to make sense of the western principles of democracy and that reflect on their Facebook account. Results suggest that male respondents practice more freedom and less caution about their privacy than the female respondents on Facebook.

Hidden Markov Models for Automatic Speech Recognition

In this paper the authors look into the problem of Hidden Markov Models （HMM）： the evaluation, the decoding and the learning problem. The authors have explored an approach to increase the effectiveness of HMM in the speech recognition field. Although hidden Markov modeling has significantly improved the performance of current speech-recognition systems, the general problem of completely fluent speaker-independent speech recognition is still far from being solved. For example, there is no system which is capable of reliably recognizing unconstrained conversational speech. Also, there does not exist a good way to infer the language structure from a limited corpus of spoken sentences statistically. Therefore, the authors want to provide an overview of the theory of HMM, discuss the role of statistical methods, and point out a range of theoretical and practical issues that deserve attention and are necessary to understand so as to further advance research in the field of speech recognition.

Numerical Computation of Hard Excitation in an Autocatalytic Biochemical System

An autocatalytic biochemical system in the presence of recycling enzyme is solved numerically using two numerical methods based on finite difference schemes. The first method is the well known Euler method which is an explicit method, whereas the second method is implicit. Although the implicit method, method 2, is first-order accurate in time it converges to the fixed point（s） for large time step, L Numerical results show the existence of hard excitation and birhythmicity.

仓公犯的是什么罪

汉初齐地名医淳于意(淳于意曾做过齐国的太仓长,所以又被称为“仓公”或“太仓公”)在汉文帝时被执至长安,其少女缇萦随父西行,上书文帝,言辞恳切,文帝为缇萦的孝义感动,下令释放了仓公,并且以此为契机,废除了肉刑,此事在《史记·仓公列传》和《汉书·刑法志》中都有记载。然而仓公究竟是犯了什么罪而被执长安呢?

SELECTIVITY OF UNDERSTANDING

This paper discusses the selective feature of understanding. The process of understanding is in nature that of constructing meaning and obtaining information, meanwhile, to construct meaning is to integrate different signs into a text by means of metaphor and metonymy and to naturalize the meaning of the text, which turns out to be a process of constant selection. In addition, the contextual factors such as different individuals or groups and different cultural backgrounds make the understanding process selective. The knowledge of the selective feature of understanding plays an important role in foreign language teaching, especially concerned with text reading, translation and intercultural communication.

Beyond bag of latent topics: spatial pyramid matching for scene category recognition

We propose a heterogeneous, mid-level feature based method for recognizing natural scene categories. The proposed feature introduces spatial information among the latent topics by means of spatial pyramid, while the latent topics are obtained by using probabilistic latent semantic analysis （pLSA） based on the bag-of-words representation. The proposed feature always performs better than standard pLSA because the performance of pLSA is adversely affected in many cases due to the loss of spatial information. By combining various interest point detectors and local region descriptors used in the bag-of-words model, the proposed feature can make further improvement for diverse scene category recognition tasks. We also propose a two-stage framework for multi-class classification. In the first stage, for each of possible detector/descriptor pairs, adaptive boosting classifiers are employed to select the most discriminative topics and further compute posterior probabilities of an unknown image from those selected topics. The second stage uses the prod-max rule to combine information coming from multiple sources and assigns the unknown image to the scene category with the highest ＇final＇ posterior probability. Experimental results on three benchmark scene datasets show that the proposed method exceeds most state-of-the-art methods.

Evaluation of the antioxidant property and effects in Caenorhabditis elegans of Xiangxi flavor vinegar,a Hunan local traditional vinegar

Xiangxi flavor vinegar（XV） is one of Hunan Province＇s traditional fermented vinegars.It is produced from herb,rice,and spring water with spontaneous liquid-state fermentation techniques.In this study,we investigated the antioxidant property of XV by analyzing its antioxidant compounds,its free radical scavenging property in vitro and in vivo,and its effects on antioxidant enzyme activity and apoptosis in Caenorhabditis elegans.The results showed that XV is rich in antioxidants.In particular,ligustrazine reached 6.431 μg/ml.The in vitro 2,2-diphenyl-1-picrylhydrazyl free radical（DPPH＊）,hydroxyl radical（＊OH）,and superoxide anion radical（O2^（＊-）） scavenging rates of XV were 95.85%,97.22%,and 63.33%,respectively.The reactive oxygen species（ROS） content in XV-treated C.elegans decreased significantly（P0.01） compared to the control group.Giutathione peroxidase（GSH-Px）,superoxide dismutase（SOD）,and catalase（CAT） activities were remarkably increased（P0.01） in C.elegans after XV treatment.In addition,XV could upreguiate CED-9 protein expression and downreguiate CED-3 protein expression in C.elegans.These results prove that XV is rich in antioxidants and scavenges radicals in vitro efficiently.XV inhibits apoptosis in C.elegans probably by scavenging ROS and increasing the activities of its antioxidant enzymes.

Implementation of the moving particle semi-implicit method on GPU

The Moving Particle Semi-implicit (MPS) method performs well in simulating violent free surface flow and hence becomes popular in the area of fluid flow simulation. However, the implementations of searching neighbouring particles and solving the large sparse matrix equations (Poisson-type equation) are very time-consuming. In order to utilize the tremendous power of parallel computation of Graphics Processing Units (GPU), this study has developed a GPU-based MPS model employing the Compute Unified Device Architecture (CUDA) on NVIDIA GTX 280. The efficient neighbourhood particle searching is done through an indirect method and the Poisson-type pressure equation is solved by the Bi-Conjugate Gradient (BiCG) method. Four different optimization levels for the present general parallel GPU-based MPS model are demonstrated. In addition, the elaborate optimization of GPU code is also discussed. A benchmark problem of dam-breaking flow is simulated using both codes of the present GPU-based MPS and the original CPU-based MPS. The comparisons between them show that the GPU-based MPS model outperforms 26 times the traditional CPU model.