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Search Results: 1 - 10 of 17327 matches for " Jianxin Zhong "
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Structures, stability, mechanical and electronic properties of a-boron and its twined brother a*-boron
Chaoyu He,Jianxin Zhong
Physics , 2013,
Abstract: The structures, stability, mechanical and electronic properties of a-boron and its twined brother a*-boron have been studied by first-principles calculations. Both a-boron and a*-boron consist of equivalent icosahedra B12 clusters in different connecting configurations of "3S-6D-3S" and "2S-6D-4S", respectively. The total energy calculations show that a*-boron is less stable than a-boron but more favorable than beta-boron and Gamma-boron at zero pressure. Both a-boron and a*-boron are confirmed dynamically and mechanically stable. The mechanical and electronic properties of a-boron and a*-boron indicate that they are potential superhard semiconducting phases of element boron.
Pseudo-crystals of the group 14 elements with both 5-fold central rotation symmetry and divisional translation symmetry
Chaoyu He,Jianxin Zhong
Physics , 2013,
Abstract: Crystals are the materials which can be described by uniform periodic lattices. Traditionally, only the 1-, 2-, 3-, 4- and 6-fold rotation symmetries are allowed in crystals because other n-fold rotation symmetries are forbidden by the fully periodic translation symmetry. Materials containing rotation symmetries forbidden in crystals can be optionally described as quasicrystals with aperiodicity. The theoretical predictions and experimental discoveries of quasicrystals have enriched the knowledge of crystallography and topology, and expanded the capability of growing novel materials. Mathematically, one can fill the whole space with quasi-uniform lattices through divisional translations and arbitrary n-fold central rotations, including the 5-fold symmetry. However, it is unknown if such pseudo-crystals with 5-fold symmetry exist in reality. Here we propose a generalized crystal-prediction-method which can be used to search for potential pseudo-crystals possessing both arbitrary n-fold rotation symmetry and divisional translation symmetry. Successful examples with 5-fold central rotation symmetry based on the group 14 elements are discussed. We expect timely experimental explorations on such peculiar structures, especially on the very promising clathrate phases of the group 14 elements with only slightly larger binding energies compared with the diamond phases.
Nano-Stitching of Graphene Bilayers: A First-Principles Study
Chaoyu He,JinLi,Jianxin Zhong
Physics , 2015,
Abstract: A nano-stitching method is proposed and investigated to modify graphene bilayers. Based this method, four types of low energy carbon allotropes, "wormhole graphene" allotropoes, are obtained and their structures, stabilities and electronic properties are investigated using first principles methods. We find that all of these wormhole graphene allotropoes are more favorable than graphdiyne and dynamically stable. Similar to carbon nanotubes and fullerences, these graphene allotropes are expected to act as two-dimensional periodic nano-capsules for encapsulating magnetic atoms or functional clusters for a variety of applications.
Dynamics of an Electron in Generalized Fibonacci Lattices
Huiqiu YUAN,Kaiwang ZHANG,Jianxin ZHONG,

材料科学技术学报 , 1999,
Abstract: 1.IntroductionSincetheremarkabledisc0veryofquasicrystals1]andthesuccessfulfabricati0nofsemiconduct0rsu-perlatticesarrangedinaFib0naccisequencel']1muchattentionhasbeenpaidt0thestudyofelectr0nicpropertiesofquasiperiodicsystems.Withregardtoone-dimensional(lD)case,Fibonaccilatticeshavewellbeen.tudied3'4].Numericalandanalyticalre-sultsshowthat1DFibonaccilatticeshavefractal-Iikespectraandcriticaleigenstates.Recently,thereisagrowingiflterestinthegeneralizedFibonaccilattices(GFL)sl61,whichechib…
A quantitative genetic and epigenetic model of complex traits
Wang Zhong,Wang Zuoheng,Wang Jianxin,Sui Yihan
BMC Bioinformatics , 2012, DOI: 10.1186/1471-2105-13-274
Abstract: Background Despite our increasing recognition of the mechanisms that specify and propagate epigenetic states of gene expression, the pattern of how epigenetic modifications contribute to the overall genetic variation of a phenotypic trait remains largely elusive. Results We construct a quantitative model to explore the effect of epigenetic modifications that occur at specific rates on the genome. This model, derived from, but beyond, the traditional quantitative genetic theory that is founded on Mendel’s laws, allows questions concerning the prevalence and importance of epigenetic variation to be incorporated and addressed. Conclusions It provides a new avenue for bringing chromatin inheritance into the realm of complex traits, facilitating our understanding of the means by which phenotypic variation is generated.
Dynamic Modeling of Genes Controlling Cancer Stem Cell Proliferation
Zhong Wang,Jingyuan Liu,Jianxin Wang,Yao Li,Rongling Wu
Frontiers in Genetics , 2012, DOI: 10.3389/fgene.2012.00084
Abstract: The growing evidence that cancer originates from stem cells (SC) holds a great promise to eliminate this disease by designing specific drug therapies for removing cancer SC. Translation of this knowledge into predictive tests for the clinic is hampered due to the lack of methods to discriminate cancer SC from non-cancer SC. Here, we address this issue by describing a conceptual strategy for identifying the genetic origins of cancer SC. The strategy incorporates a high-dimensional group of differential equations that characterizes the proliferation, differentiation, and reprogramming of cancer SC in a dynamic cellular and molecular system. The deployment of robust mathematical models will help uncover and explain many still unknown aspects of cell behavior, tissue function, and network organization related to the formation and division of cancer SC. The statistical method developed allows biologically meaningful hypotheses about the genetic control mechanisms of carcinogenesis and metastasis to be tested in a quantitative manner.
Simple Cubic Carbon Phase C21-sc: A Promising Superhard Carbon Conductor
Chaoyu He,Lijun Meng,Chao Tang,Jianxin Zhong
Physics , 2014,
Abstract: Traditionally, all superhard carbon phases including diamond are electric insulators and all conductive carbon phases including graphite are mechanically soft. Based on first-principles calculation results, we report a superhard but conductive carbon phase C21-sc which can be obtained through increasing the sp3 bonds in the previously proposed soft and conductive phase C20-sc (Phys. Rev. B 74, 172101 2006). We also show that further increase of sp3 bonds in C21-sc results in a superhard and insulating phase C22-sc with sp3 bonds only. With C20-sc, C21-sc, C22-sc and graphite, the X-ray diffraction peaks from the unidentified carbon material synthesized by compressing the mixture of tetracyanoethylene and carbon black (Carbon, 41, 1309, 2003) can be understood. In view of its positive stability, superhard and conductive features, and the strong possibility of existence in previous experiments, C21-sc is a promising multi-functional material with potential applications in extreme conditions.
Morphological Symmetry Breaking During Epitaxial Growth at Grazing Incidence
Jianxin Zhong,Enge Wang,Qian Niu,Zhenyu Zhang
Physics , 2000, DOI: 10.1103/PhysRevLett.84.3895
Abstract: It is shown that, in submonolayer growth at off-normal incidence, even much less than one percent of transfer from the condensation energy of the deposited atoms into adatom motion is sufficient to induce a net adatom current from the illuminated edge of a two-dimensional island to the other edges, thereby breaking the island symmetry. Such a symmetry breaking phenomenon is most pronounced for deposition at grazing incidence. Comparison between our theoretical predictions and existing experimental results confirms the general validity of the model.
A Feature Selection Method for Prediction Essential Protein
Jiancheng Zhong,Jianxin Wang,Wei Peng,Zhen Zhang,Min Li
- , 2015, DOI: 10.1109/TST.2015.7297748
Abstract: Essential proteins are vital to the survival of a cell. There are various features related to the essentiality of proteins, such as biological and topological features. Many computational methods have been developed to identify essential proteins by using these features. However, it is still a big challenge to design an effective method that is able to select suitable features and integrate them to predict essential proteins. In this work, we first collect 26 features, and use SVM-RFE to select some of them to create a feature space for predicting essential proteins, and then remove the features that share the biological meaning with other features in the feature space according to their Pearson Correlation Coefficients (PCC). The experiments are carried out on S. cerevisiae data. Six features are determined as the best subset of features. To assess the prediction performance of our method, we further compare it with some machine learning methods, such as SVM, Naive Bayes, Bayes Network, and NBTree when inputting the different number of features. The results show that those methods using the 6 features outperform that using other features, which confirms the effectiveness of our feature selection method for essential protein prediction.
Influence of Lateral Transshipment Policy on Supply Chain Performance: A Stochastic Demand Case  [PDF]
Jingxian Chen, Jianxin Lu
iBusiness (IB) , 2010, DOI: 10.4236/ib.2010.21009
Abstract: Considering the supply chain consists of one supplier and two retailers, we construct the system’s dynamic models which face stochastic demand in the case of non-lateral transshipment (NLT), unidirectional lateral transshipment (ULT) and bidirectional lateral transshipment (BLT). Numerical example simulation experiments of these models were run on Venple. We adopt customer demand satisfaction rate and total inventory as performance indicators of supply chain. Through the comparative of the simulation results with the NLT policy, we analyze the influence of ULT policy and BLT policy on system performance. It shows that, if retailers face the same random distribution demand, lateral transshipment policy can effectively improve the performance of supply chain system; if the retailers face different random distribution demand, lateral transshipment policy cannot effectively improve the performance of supply chain systems, even reduce system’s customer demand satisfaction rate, and increase system inventory variation.
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