1,620 research outputs found

    Interplay between Quantum Size Effect and Strain Effect on Growth of Nanoscale Metal Thin Film

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    We develop a theoretical framework to investigate the interplay between quantum size effect (QSE) and strain effect on the stability of metal nanofilms. The QSE and strain effect are shown to be coupled through the concept of "quantum electronic stress. First-principles calculations reveal large quantum oscillations in the surface stress of metal nanofilms as a function of film thickness. This adds extrinsically additional strain-coupled quantum oscillations to surface energy of strained metal nanofilms. Our theory enables a quantitative estimation of the amount of strain in experimental samples, and suggests strain be an important factor contributing to the discrepancies between the existing theories and experiments

    1′-Acetyl-3-phenyl-6-oxa-4-thia-2-aza­spiro­[bicyclo­[3.2.0]hept-2-ene-7,3′-indolin]-2′-one

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    In the title indoline compound, C19H14N2O3S, the pyrrolidine ring adopts an envelope conformation with the four-connected (spiro) C atom as the flap [displacement = 0.148 (3) Å]. The mean plane formed through the indoline unit is inclined at dihedral angles of 89.92 (16) and 59.54 (12)° with the thia­zole and phenyl rings, respectively; the dihedral angle between the latter rings is 9.55 (14)°. In the crystal, pairs of inter­molecular C—H⋯O hydrogen bonds link neighbouring mol­ecules into inversion dimers, producing R 2 2(6) hydrogen-bond ring motifs. Weak inter­molecular C—H⋯π as well as π–π inter­actions [centroid–centroid distance = 3.4041 (15) Å] further consolidate the crystal structure

    catena-Poly[[(2,2′-bipyridine)­nickel(II)]-μ-2,4′-oxydibenzoato]

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    In the title compound, [Ni(C14H8O5)(C10H8N2)]n, the NiII atom is six-coordinated in a slightly distorted octa­hedral geometry by four O atoms from two chelating carboxyl­ate groups of symmetry-related 2,4′-oxydibenzoate anions and by two N atoms from a 2,2′-bipyridine ligand. The NiII atoms are bridged by the 2,4′-oxydibenzoate anions, resulting in the formation of helical chains parallel to [010] with a repeating unit of 15.039 (2) Å

    Implications of C1q/TNF-related protein superfamily in patients with coronary artery disease.

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    The C1q complement/TNF-related protein superfamily (CTRPs) displays differential effects on the regulation of metabolic homeostasis, governing cardiovascular function. However, whether and how they may serve as predictor/pro-diagnosis factors for assessing the risks of coronary artery disease (CAD) remains controversial. Therefore, we performed a clinical study to elaborate on the implication of CTRPs (CTRP1, CTRP5, CTRP7, and CTRP15) in CAD. CTRP1 were significantly increased, whereas CTRP7 and CTRP15 levels were decreased in CAD patients compared to the non-CAD group. Significant differences in CTRP1 levels were discovered between the single- and triple-vascular-vessel lesion groups. ROC analysis revealed that CTRP7 and CTRP15 may serve as CAD markers, while CTRP1 may serve as a marker for the single-vessel lesion of CAD. CTRP1 and CTRP5 can serve as markers for the triple-vessel lesion. CTRP1 may serve as an independent risk predictor for triple-vessel lesion, whereas CTRP15 alteration may serve for a single-vessel lesion of CAD. CTRP1 may serve as a novel superior biomarker for diagnosis of severity of vessel-lesion of CAD patients. CTRP7, CTRP15 may serve as more suitable biomarker for the diagnosis of CAD patients, whereas CTRP5 may serve as an independent predictor for CAD. These findings suggest CTRPs may be the superior predictive factors for the vascular lesion of CAD and represent novel therapeutic targets against CAD

    A Mining-Based System Framework for Deploying Knowledge Maps of Composite E-Services

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    Providing e-services and composite e-services on the Internet is an important trend of e-business. Composite e-services are complex processes which consist of various e-services provided by different e-service providers. In such complex environments, the flexibility and success of e-business depend on effective knowledge supports to access related information and resources of composite e-services. This work proposes a knowledge map platform to provide an effective knowledge support for utilizing composite e-services. A mining-based system framework is proposed to construct the knowledge map. Moreover, the proposed knowledge map is integrated with recommendation capability to provide users customized decision support in utilizing composite e-services
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