4,504 research outputs found

    Mechanica op de microcomputer

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    Afscheidscollege van prof.dr.ir. J.G. Lekkerkerker (informele notities)

    An optimal representative set selection method

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    The optimal representative set selection problem is defined thus: given a set of test requirements and a test suite that satisfies all test requirements, find a subset of the test suite containing a minimum number of test cases that still satisfies all test requirements. Existing methods for solving the representative set selection problem do not guarantee that obtained representative sets are optimal (i.e. minimal). The enhanced zero–one optimal path set selection method [C.G. Chung, J.G. Lee, An enhanced zero–one optimal path set selection method, Journal of Systems and Software, 39(2) (1997) 145–164] solves the so-called optimal path set selection problem, and can be adapted to solve the optimal representative set selection problem by considering paths as test cases and components to be covered (e.g. branches) as tes

    Installatierede van de Technische Commissie voor de Waterkeringen

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    Rede uitgesproken bij de installatie van de Technische Adviescommissie voor de Waterkeringen door de Minister van Verkeer en Waterstaat, J.G. Suurhoff, en het antwoord van de voorzitter van de TAW op deze rede, prof.ir. P.P. Jansen. De commissie werd ingesteld naar aanleiding van de overstromingen in Tuindorp-Oostzaan in 1960. De commissie is officieel ingesteld op 31 mei 1965, maar de installatierede is in Augustus van dat jaar uitgesprokenTAW/EN

    Fatigue Stress Analysis of Suspension Bridged using FEM

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    Fatigue is an important fallurc mode for large suspension bridges under traffic loadings. However, large suspension bridges have so many attributes tbat it is difficult to analyze their fatigue damage using experimental measurement methods. Numerical simulation is a feasible method of studying such fatigue damage. In British standards, the finite element method (FEM) is recommended as a rigorous method for steel bridge fatigue analysis. This paper aims at developing a model of a large slispension steel bridge using finite element methods (FEM) for fatigue stress analysis. The Tsing Ma Bridge (TMB) is selected for a case study and the corresponding finite element model is presented. The verification of the model is carried out with the help of the measured bridge modal characteristics and the online dala measured by the structural health moniloring system installed on the bridge. The results show that the constructed FE model is efficient for bridge dynamic analysis. Global structural analyses using the developed FE model are presented to determine the components of the nominal stress generated by railway loadings and some typical highway loadings. The critical locations in the bridge main span are also identified with the numerical results of the global FE stress analysis. It could be seen that the FE model could be served as a basis for evaluating fatigue damage and the remaining life of the bridge could then be evaluated

    Implicit large-eddy simulation of the stratocumulus-topped boundary layer: A grid sensitivity study

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    A range of implicit large-eddy simulations of the stratocumulus-topped boundary layer is performed to study the influence of grid resolution on selected parameters including liquid water path and second and third moments of vertical velocity fluctuations. The simulations are based on two sets of aircraft measurements, which are also used to evaluate the results of the simulations. The specific case presented here indicates that simulations with a grid aspect ratio accounting for the anisotropic nature of the turbulence near the surface and at the top of the boundary layer lead to better agreement with measurements than simulations with an isotropic grid

    Differential effects of allyl sulfides from garlic essential oil on cell cycle regulation in human liver tumor cells

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    In this study, diallyl sulfide (DAS), diallyl disulfide (DADS) and diallyl trisulfide (DATS), which are major organosulfur compounds (OSCs) of garlic, were used as experimental materials to investigate their modulation effects on cell viability and cell cycle in human liver tumor cells (J5). According to the results of cell viability assay, 50 or 100 lM DATS significantly decreased the cell viability as compared with the control (P < 0.05) in dose and time dependent relations. Phenomena of cell number loss, shape deformation and lysis were observed after treatment with 100 lMDATS for 24 h. Cell cycle studies showed that J5 cells were significantly arrested in G2/M phase as the cells were treated with 100 lM DADS, 10, 50 or 100 lM DATS for 24 h (P < 0.05). DATS was more effective in arresting cells in G2/M phase than DADS, and the phenomena of arresting J5 cells in G2/M phase increased obviously in dose and time dependent relations. According to the Western blot analysis, DATS decreased cyclin-dependent kinase (Cdks)-Cdk7 (i.e. Cdc2 activate kinase) protein levels in J5 cells but increased cyclin B1 protein level. The modulation potency to cyclin B1 and Cdk7 expressions was in the order of DATS>DADS>DAS. The modulation potency to cyclin B1 and Cdk7 protein levels increased with increasing in DATS concentration and culture time. In conclusion, DATS might affect cell viability and cell morphological changes in J5 cells and lead cells to be arrested in G2/M phase via controlling the expression of cyclin B1 and Cdk7 in J5 cells, and the controlling action might relate to the sulfuric atom numbers in the structures of all these allyl sulfides

    Experimental application of a dynamic observer to capture and predict the dynamics of a flat-plate boundary layer

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    The recent approach, proposed by Guzman-Inigo et al. \cite{GuzmanInigo2014}, using System Identification to derive a Reduced Order Model from snapshots of a flow is applied to a transitional boundary layer growing over a flat-plate. It is shown that such an approach can indeed be applied to experimental PIV snapshots. Using a proper learning dataset and a proper local sensor, it is shown that the evolution of boundary layer can be properly estimated from the time evolution of the local probe and with no more than ten POD modes for the Reduced Order Model. The influence of the various parameters on the efficiency of the system identification technique is discussed

    Entering GATTACA: Yeast genomes: Analysis, insights and applications

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    Accepted Author ManuscriptBT/Industriele Microbiologi
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