925 resultados para Two-Phase Start-up Demonstration Test


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This aim of this paper, from a study funded by the National Council for Graduate Entrepreneurship (NCGE), is to explore access to finance for ethnic minority graduate entrepreneurs (EMGEs) with a particular focus on comparisons between different ethnic groups, and men and women. The authors interviewed selected individuals based upon a review of literature on finance for ethnic minority enterprise. A number of key results from the survey, in that EMGEs: • use external finance significantly (more so than non graduates) and encounter barriers in accessing finance at start-up, in particular those belonging to poor families. • rely excessively on personal savings and family finance, at the start-up and long after the start-up stage, that has implications for the optimal capital structure. • start up businesses that are, on average, larger than non-graduate enterprises and have the potential to reduce economic inactivity amongst the ethnic population. • have, in contrast to general graduate start-ups, a high level of unemployment, take a longer period of time to enter employment and there is a higher level of dissatisfaction with career progression. These findings raise the question whether the right financial advice is taken and whether this behaviour constrains EMGEs' expansion.

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The DNA binding fusion protein, LacI-His6-GFP, together with the conjugate PEG-IDA-Cu(II) (10 kDa) was evaluated as a dual affinity system for the pUC19 plasmid extraction from an alkaline bacterial cell lysate in poly(ethylene glycol) (PEG)/dextran (DEX) aqueous two-phase systems (ATPS). In a PEG 600-DEX 40 ATPS containing 0.273 nmol of LacI fusion protein and 0.14% (w/w) of the functionalised PEG-IDA-Cu(II), more than 72% of the plasmid DNA partitioned to the PEG phase, without RNA or genomic DNA contamination as evaluated by agarose gel electrophoresis. In a second extraction stage, the elution of pDNA from the LacI binding complex proved difficult using either dextran or phosphate buffer as second phase, though more than 75% of the overall protein was removed in both systems. A maximum recovery of approximately 27% of the pCU19 plasmid was achieved using the PEG-dextran system as a second extraction system, with 80-90% of pDNA partitioning to the bottom phase. This represents about 7.4 microg of pDNA extracted per 1 mL of pUC19 desalted lysate.

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The authors investigate the determinants of start-up financing in fifty-four countries, using the Global Entrepreneurship Monitor (GEM) surveys for the years 2001-6. They find that financial liberalization increases the total financial size of the individual start-up entrepreneurial project both via the increased use of external and of own funds. In addition, the volume of start-up finance responds positively to international capital inflows, as represented by loans from nonresident banks and remittances, and negatively to the volume of offshore deposits. The positive impact of remittances on total volume of start-up financing is via financing by the entrepreneur.

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We investigate the determinants of start-up financing in 41 countries, using the Global Entrepreneurship Monitor surveys for 1998-20032. High quality of property rights increases both the total volume of finance and the use of external finance for the individual start-up. The size of the formal financial sector affects the start-up finance via enhancing the volume of self-finance. In addition, the use of external finance by start-ups correlates with the extent of financial restrictions in a country in a non-linear way. Supply of informal finance may to some extent substitute for the use of formal finance.

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We extend a meshless method of fundamental solutions recently proposed by the authors for the one-dimensional two-phase inverse linear Stefan problem, to the nonlinear case. In this latter situation the free surface is also considered unknown which is more realistic from the practical point of view. Building on the earlier work, the solution is approximated in each phase by a linear combination of fundamental solutions to the heat equation. The implementation and analysis are more complicated in the present situation since one needs to deal with a nonlinear minimization problem to identify the free surface. Furthermore, the inverse problem is ill-posed since small errors in the input measured data can cause large deviations in the desired solution. Therefore, regularization needs to be incorporated in the objective function which is minimized in order to obtain a stable solution. Numerical results are presented and discussed. © 2014 IMACS.