10,653 research outputs found

    New predictions on the mass of the 1+1^{-+} light hybrid meson from QCD sum rules

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    We calculate the coefficients of the dimension-8 quark and gluon condensates in the current-current correlator of 1+1^{-+} light hybrid current gqˉ(x)γνiGμν(x)q(x)g\bar{q}(x)\gamma_{\nu}iG_{\mu\nu}(x)q{(x)}. With inclusion of these higher-power corrections and updating the input parameters, we re-analyze the mass of the 1+1^{-+} light hybrid meson from Monte-Carlo based QCD sum rules. Considering the possible violation of factorization of higher dimensional condensates and variation of g3G3\langle g^3G^3\rangle, we obtain a conservative mass range 1.72--2.60\,GeV, which favors π1(2015)\pi_{1}(2015) as a better hybrid candidate compared with π1(1600)\pi_{1}(1600) and π1(1400)\pi_{1}(1400).Comment: 12pages, 2 figures, the version appearing in JHE

    Where Can Capabilities Come From? How the Content of Network Ties Affects Capability Acquisition

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    While strategy researchers have devoted considerable attention to the role of firm-specific capabilities in the pursuit of competitive advantage, less attention has been directed at how firms obtain these capabilities from outside a firm's boundaries. This study analyzes how firms' network ties represent one important source of capability acquisition. Theoretically, we go beyond the traditional focus on network structure and offer a novel contingency model that specifies how differences in the content of network ties (e.g., buyer-supplier, equity, and director ties) will differentially affect the process of R&D capability acquisition. Empirically, we also seek to provide an original contribution to the capabilities literature by utilizing a stochastic frontier estimation to rigorously measure firm capabilities, and we demonstrate the value of this approach using longitudinal data on business groups in emerging economies. The supportive results of our analysis show that the effect of network ties on the acquisition of new affiliate capabilities is clearly and predictably contingent on the content of the ties.

    Poly[μ4-glutarato-di-μ3-glutarato-bis­(1,10-phenanthroline)diyttrium(III)]

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    In the title complex, [Y2(C5H6O4)3(C12H8N2)2]n, three glutarate groups and two 1,10-phenanthroline mol­ecules surround the two YIII ions. Both YIII ions are coordinated by two N atoms from the 1,10-phenanthroline, seven O atoms from five glutarate groups in a distorted tricapped trigonal–prismatic geometry. The YIII ions are bridged by glutarate ligands in three modes, forming a layered, polymeric structure. The resulting layers are assembled by π–π stacking inter­actions [centroid–centroid distances = 3.740 (3) and 3.571 (3) Å] into a three-dimensional supra­molecular architecture

    HOW THE INCUBATOR MANAGERS ACT AS THE NICHE MANAGER? EMPIRICAL EVIDENCE FROM CHINA

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    Although the importance of the incubator mangers for successful incubation has been widely discussed, there is little evidence on how the incubator mangers leverage various resources contributing to incubation success. The purpose of this paper is to fill this gap by employing the niche manger theory to investigate the extent to which the incubator managers act as the niche manager in the incubator context. More specifically, an evaluation is made to explore the influences of expectations, networks, and learning constructed by the incubator managers on the incubation performance. Using data on the 189 national technology business incubators (NTBIs) from 2008 to 2012 in China, we find that the role of networks constructed by the incubator mangers in stimulating the survival of new ventures is not as significant as the roles of expectations and learning construction. More specifically, the venture capital obtained from private organizations performs better than the incubation fund which is mainly obtained from governments. While the internal network building has a great positive impact on incubation performance, the external network tends to act as “bad networks”. Finally, the incubator managers are always not sufficient to offer technology broke support in Chinese NTBIs

    Poly[[penta­aqua­(μ4-pyridine-2,4,6-tri­carboxyl­ato)(μ3-pyridine-2,4,6-tri­carboxyl­ato)disamarium(III)] mono­hydrate]

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    The asymmetric unit of the title compound, {[Sm2(C8H2NO6)2(H2O)5]·H2O}n, contains two independent SmIII ions, two pyridine-2,4,6-tricarboxyl­ate (ptc) ligands, five aqua ligands and one lattice water mol­ecule. One SmIII ion is nine-coordinated by one N and five O atoms from the three ptc ligands and three aqua ligands in a distorted monocapped square antiprismatic geometry, and the other is eight-coordinated by one N and five O atoms from three ptc ligands and two aqua ligands in a 4,4′-bicapped trigonal anti­prismatic geometry. The ptc ligands brigde the SmIII ions into a three-dimensional polymeric framework. Extensive O—H⋯O hydrogen bonding is observed in the crystal structure
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