976 resultados para VC
Resumo:
In our earlier communication we proposed a simple fragility determining function, (NBO]/(VmTg)-T-3), which we have now used to analyze several glass systems using available thermal data. A comparison with similar fragility determining function, Delta C-p/C-p(1), introduced by Chryssikos et al. in their investigation of lithium borate glasses has also been performed and found to be more convenient quantity for discussing fragilities. We now propose a new function which uses both Delta C-p and Delta T and which gives a numerical fragility parameter, F whose value lies between 0 and 1 for glass forming liquids. F can be calculated through the use of measured thermal parameters Delta C-p, C-p(1), T-g and T-m. Use of the new fragility values in reduced viscosity equation reproduces the whole range of viscosity curves of the Angell plot. The reduced viscosity equation can be directly compared with the Adam-Gibbs viscosity equation and a heat capacity function can be formulated which reproduces satisfactorily the Delta C-p versus In(T-r) curves and hence the configurational entropy. (C) 2014 Elsevier Ltd. All rights reserved.
Resumo:
In our earlier communication we proposed a simple fragility determining function, (NBO]/(VmTg)-T-3), which we have now used to analyze several glass systems using available thermal data. A comparison with similar fragility determining function, Delta C-p/C-p(1), introduced by Chryssikos et al. in their investigation of lithium borate glasses has also been performed and found to be more convenient quantity for discussing fragilities. We now propose a new function which uses both Delta C-p and Delta T and which gives a numerical fragility parameter, F whose value lies between 0 and 1 for glass forming liquids. F can be calculated through the use of measured thermal parameters Delta C-p, C-p(1), T-g and T-m. Use of the new fragility values in reduced viscosity equation reproduces the whole range of viscosity curves of the Angell plot. The reduced viscosity equation can be directly compared with the Adam-Gibbs viscosity equation and a heat capacity function can be formulated which reproduces satisfactorily the Delta C-p versus In(T-r) curves and hence the configurational entropy. (C) 2014 Elsevier Ltd. All rights reserved.
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In this paper, we develop a consolidated Supply-Demand framework of the Venture Capital (VC) ecosystem for India. Further, we empirically analyze the supply side of this ecosystem to ascertain the influence of systematic (macro) and non-systematic (micro) factors on VC fundraising. At the macro level, our results indicate that relatively strong fundamentals of the Indian economy in the past decade as compared with the severe recessionary tendencies in the developed economies have been critical in determining the aggregate volume of VC fundraising. Among the micro factors, past performance and reputation of the individual fund managers have been instrumental in determining their fund raising potential.
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Purpose: Composition of the coronary artery plaque is known to have critical role in heart attack. While calcified plaque can easily be diagnosed by conventional CT, it fails to distinguish between fibrous and lipid rich plaques. In the present paper, the authors discuss the experimental techniques and obtain a numerical algorithm by which the electron density (rho(e)) and the effective atomic number (Z(eff)) can be obtained from the dual energy computed tomography (DECT) data. The idea is to use this inversion method to characterize and distinguish between the lipid and fibrous coronary artery plaques. Methods: For the purpose of calibration of the CT machine, the authors prepare aqueous samples whose calculated values of (rho(e), Z(eff)) lie in the range of (2.65 x 10(23) <= rho(e) <= 3.64 x 10(23)/cm(3)) and (6.80 <= Z(eff) <= 8.90). The authors fill the phantom with these known samples and experimentally determine HU(V-1) and HU(V-2), with V-1,V-2 = 100 and 140 kVp, for the same pixels and thus determine the coefficients of inversion that allow us to determine (rho(e), Z(eff)) from the DECT data. The HU(100) and HU(140) for the coronary artery plaque are obtained by filling the channel of the coronary artery with a viscous solution of methyl cellulose in water, containing 2% contrast. These (rho(e), Z(eff)) values of the coronary artery plaque are used for their characterization on the basis of theoretical models of atomic compositions of the plaque materials. These results are compared with histopathological report. Results: The authors find that the calibration gives Pc with an accuracy of 3.5% while Z(eff) is found within 1% of the actual value, the confidence being 95%. The HU(100) and HU(140) are found to be considerably different for the same plaque at the same position and there is a linear trend between these two HU values. It is noted that pure lipid type plaques are practically nonexistent, and microcalcification, as observed in histopathology, has to be taken into account to explain the nature of the observed (rho(e), Z(eff)) data. This also enables us to judge the composition of the plaque in terms of basic model which considers the plaque to be composed of fibres, lipids, and microcalcification. Conclusions: This simple and reliable method has the potential as an effective modality to investigate the composition of noncalcified coronary artery plaques and thus help in their characterization. In this inversion method, (rho(e), Z(eff)) of the scanned sample can be found by eliminating the effects of the CT machine and also by ensuring that the determination of the two unknowns (rho(e), Z(eff)) does not interfere with each other and the nature of the plaque can be identified in terms of a three component model. (C) 2015 American Association of Physicists in Medicine.
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PROFIBUS-DPDLVC++
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The stationary two-dimensional (x, z) near wakes behind a flat-based projectile which moves at a constant mesothermal speed (V) along a z-axis in a rarefied, fully ionized, plasma is studied using the wave model previously proposed by one of the authors (VCL). One-fluid theory is used to depict the free expansion of ambient plasma into the vacuum produced behind a fast-moving projectile. This nonstationary, one-dimensional (x, t) flow which is approximated by the K-dV equation can be transformed, through substitution, t=z/V, into a stationary two-dimensional (x, z) near wake flow seen by an observer moving with the body velocity (V). The initial value problem of the K-dV equation in (x, t) variables is solved by a specially devised numerical method. Comparisons of the present numerical solution for the asymptotically small and large times with available analytical solutions are made and found in satisfactory agreements.
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<p><img src="http://img3.douban.com/mpic/s1281493.jpg" border="0" alt="" hspace="8" width="102" height="144" align="left" />MicrosoftVisualC6.0Microsoft Visual StudioWindowsVisualC6.0MicrosoftVisualCVisualC6.0VisualC</p><p>VisualC6.0</p><p><font size="5"><strong> <br /></strong></font> VisualC6.0<br />1.1VisualC6.0<br />1.2viSualC6.0<br />1.3VisualC6.0<br />1.4VisualC6.0<br /> C<br />2.1<br />2.2<br />2.3<br />2.4<br />2.5<br />2.6<br />2.7this<br />2.8<br />2.9<br />2.10<br />2.11<br />2.12<br />2.13<br /> VisualC6.0<br />3.1VisualC6.0<br />3.2VisualC6.0<br />3.3VisualC6.0<br />3.4<br />3.5<br /> VC<br />4.1AppWizard<br />4.2AppWizard<br />4.3“Iamaprogrammer.”<br /> <br />5.1<br />5.2WinMain<br />5.3<br />5.4<br />5.5<br />5.6<br />5.7<br /> <br />6.1<br />6.2WindowFun<br />6.3<br />6.4<br />6.5<br /> <br />7.1WinMain<br />7.2<br />7.3<br />7.4<br /> classWizard<br />8.1ClassWizard<br />8.2classWizard<br />8.3<br />8.4<br /> <br />9.1DocumentView<br />9.2<br />9.3<br />9.4MyProg2.cpp<br /> OLE<br />10.1COM<br />10.2classfactory<br />10.3OLE<br />10.4IDispatch<br /> DLLs<br />11.1DLL<br />11.2DLL<br />11.3MFCDLL<br />11.4MyProg4ADLL<br />11.5MyProg4BMFCDLL<br />11.6<br /> <br />12.1<br />12.2GDI<br />12.3Windows<br />12.4<br />12.5<br />12.6MyProg3<br />12.7MyProg3B<br />12.8MyPr0g3CCScrollView<br /> <br />13.1<br />13.2Fi1eOpen<br />13.3<br />13.4<br />13.5<br />13.6DDX/DDV<br /> Spy<br />14.1<br />14.2<br />14.3<br /> <br />15.1TRACE<br />15.2<br />15.3<br />15.4<br />15.5Dump<br />15.6</p>
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Eguluz, Federico; Merino, Raquel; Olsen, Vickie; Pajares, Eterio; Santamara, Jos Miguel (eds.) Cada captulo de este volmen est descrito individualmente en este Repositorio, accesibles a travs de los enlaces del ndice del libro.
Resumo:
J.M.Santamara, Eterio Pajares, Vickie Olsen, Raquel Merino y Federico Eguluz (eds.) Cada captulo de este volmen est descrito individualmente en este Repositorio, accesibles a travs de los enlaces del ndice del libro.
Resumo:
Eterio Pajares, Raquel Merino y J.M. Santamara(eds.) Cada captulo de este volmen est descrito individualmente en este repositorio, accesibles a travs de los enlaces del ndice del libro.
