2,086 research outputs found

    Genetic marker studies of the larix gmelinii

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    An Empirical Study of the Effect of Investor Sentiment on Returns of Different Industries

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    Studies on investor sentiment are mostly focused on the stock market, but little attention has been paid to the effect of investor sentiment on the return of a specific industry. This paper constructs a proxy variable to examine the relationship between investor sentiment and the return of a specific industry, using the Principle Component Analysis, and finds that investor sentiment is positively correlated with the industry return of the current period and negatively correlated with that of one lag period; we classify investor sentiment as optimistic state and pessimistic state and find that optimistic investor sentiment has a positive effect on stock returns of most industries, while pessimistic investor sentiment has no effect on them; this paper further builds a two-state Markov regime switching model and finds that sentiment has different effect on different industries returns on different states of market

    The Wrong Fracking Debate: Rural Communities and Media Misconceptions

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    <p>Results are obtained from 5000 independent simulation runs. Parameter settings are the migration rate of pollen <i>m<sub>P</sub></i> = 0.08 and seeds <i>m<sub>S</sub></i> = 0.04, the recombination rate <i>r</i> = 0.05, the selection coefficient <i>s</i><sub>1</sub> = <i>s</i><sub>2</sub> = 0.02, and the effective population size <i>N<sub>e</sub></i> = 100.</p

    Structural Genomics: Correlation Blocks, Population Structure, and Genome Architecture

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    An integration of the pattern of genome-wide inter-site associations with evolutionary forces is important for gaining insights into the genomic evolution in natural or artificial populations. Here, we assess the inter-site correlation blocks and their distributions along chromosomes. A correlation block is broadly termed as the DNA segment within which strong correlations exist between genetic diversities at any two sites. We bring together the population genetic structure and the genomic diversity structure that have been independently built on different scales and synthesize the existing theories and methods for characterizing genomic structure at the population level. We discuss how population structure could shape correlation blocks and their patterns within and between populations. Effects of evolutionary forces (selection, migration, genetic drift, and mutation) on the pattern of genome-wide correlation blocks are discussed. In eukaryote organisms, we briefly discuss the associations between the pattern of correlation blocks and genome assembly features in eukaryote organisms, including the impacts of multigene family, the perturbation of transposable elements, and the repetitive nongenic sequences and GC-rich isochores. Our reviews suggest that the observable pattern of correlation blocks can refine our understanding of the ecological and evolutionary processes underlying the genomic evolution at the population level

    Probing Phonon dynamics and Electron-Phonon Coupling by High Harmonic Generation in Solids

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    Acting as a highly nonlinear response to the strong laser field, high harmonic generation (HHG) naturally contains the fingerprints of atomic and electronic properties of materials. Electronic properties of a solid such as band structure and topology can thus be probed, while the phonon dynamics during HHG are often neglected. Here we show that by exploiting the effects of phonon deformation on HHG, the intrinsic phonon information can be deciphered and direct probing of band- and mode-resolved electron-phonon couplings (EPC) of photoexcited materials is possible. Considering HHG spectroscopy can be vacuum free and unrestricted to electron occupation, this work suggests HHG is promising for all-optical characterization of EPC in solids, especially for gapped quantum states or materials under high pressure

    Poly[μ2-aqua-μ4-naphthalene-1,8-dicarboxyl­ato-manganese(II)]

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    The asymmetric unit of the title complex, [Mn(C12H6O4)(H2O)]n, contains one MnII ion, one 1,8-naphthalene­dicarboxyl­ate (1,8-NDC) ligand and one water mol­ecule. The MnII ion is six-coordinated within a distorted octa­hedral coordination geometry, in which the equatorial sites are occupied by four carboxyl­ate O atoms from four different 1,8-NDC ligands, while the axial positions are occupied by two O atoms of two coordinated water mol­ecules. Adjacent MnII centres are bridged by one coordinated water and two carboxyl­ate groups in a syn–syn mode to form infinite chains along the b axis, which are further cross-linked by the naphthalene spacers of the 1,8-NDC ligands to produce a two-dimensional extended network

    Expression of miR-126 and its potential function in coronary artery disease

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    Objective: This study aimed to explore the role of miR-126 in coronary artery disease (CAD) patients and the potential gene targets of miR-126 in atherosclerosis.Methodology: A total of 60 CAD patients and 25 healthy control subjects were recruited in this study. Among the 60 CAD patients, 18 cases were diagnosed of stable angina pectoris (SAP), 20 were diagnosed of unstable angina pectoris (UAP) and 22 were diagnosed of acute myocardial infarction (AMI). Plasma miR-126 levels from both groups of participants were analyzed by real-time quantitative PCR. ELISA was used to measure plasma level of placenta growth factor (PLGF).Results: The results showed that the miR-126 expression was significantly down-regulated in the circulation of CAD patients compared with control subjects (P&lt;0.01). Plasma PLGF level was significantly upregulated in patients with unstable angina pectoris and acute myocardial infarction (AMI) compared with controls (both P&lt;0.01) the miR-126 expression in AMI was significantly associated with PLGF.Conclusion: miR-126 may serve as a novel biomarker for CAD.Keywords: miR-126; PLGF; PCR; coronary artery disease; atherosclerosi
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