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See detailPrediction of DP steel fracture by FEM simulations using an advanced Gurson model
Fansi Tchonko, Joseph ULg

Doctoral thesis (2013)

This numerical investigation of an advanced Gurson–Tvergaard–Needleman (GTN) model is an extension of the original work of Ben Bettaieb et al. (2011). The model has been implemented as a user-defined ... [more ▼]

This numerical investigation of an advanced Gurson–Tvergaard–Needleman (GTN) model is an extension of the original work of Ben Bettaieb et al. (2011). The model has been implemented as a user-defined material model subroutine (VUMAT) in the Abaqus/explicit FE code. The current damage model extends the previous version by integrating the three damage mechanisms: nucleation, growth and coalescence of voids. Physically based void nucleation and growth laws are considered, including an effect of the kinematic hardening. These new contributions are based and validated on experimental results provided by high-resolution X-ray absorption tomography measurements. Also, the numerical implementation of the kinematic hardening in this damage extension has obliged to readapt the classical triaxiality definition. Besides, a secondary fracture initiation criterion based on the ultimate average inter-cavities distance has been integrated to localize and quantify with good accuracy the strain distribution just before the material fails apart. The current damage model is applied in industrial conditions to predict the damage evolution, the stress state and the fracture initiation in various tensile thin flat sheet geometries and the cross-die drawing tests. [less ▲]

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See detailPrediction Of Epitopes And Production Of Monoclonal Antibodies Against Gastric H,K-Atpase
Irnaten, M.; Gallet, X.; Festy, F. et al

in Protein Engineering (1998), 11(10), 949-55

Monoclonal antibodies (mAbs) were produced against gastric H,K-ATPase using a theoretical and experimental strategy based on prediction of linear epitopes by molecular modelling followed by production of ... [more ▼]

Monoclonal antibodies (mAbs) were produced against gastric H,K-ATPase using a theoretical and experimental strategy based on prediction of linear epitopes by molecular modelling followed by production of anti-peptide antibodies. By analysing the alpha subunit sequence, we predicted several epitopes corresponding to amino acids K519-L533, E543-Y553 and S786-L798 and produced monoclonal antibodies HK519, HK543 and HK786. All three react against gastric H,K-ATPase in RaLISA, immunohistochemistry and Western blots demonstrating that they recognize the native and the SDS-denatured ionic pump and that the epitopes are located at the surface of the native ATPase. Antibody Kd are in the range 6-10x10(-8) M. Monoclonal antibody HK519 is a competitive inhibitor of ATP, in agreement with ATP binding to K519. Neither mAb 543, nor mAb 786 inhibit the ATPase activity. Monoclonal antibody 95111, whose epitope is mapped between residues C529 and E561, competes with mAb HK543 but not with the other two. We suggest that the 95111 epitope is overlapping or very close to the HK543-553 sequence. Induction of E1 conformer by binding FITC to K519 increases the number of mAb 95111 and mAb HK543 epitopes but not that of mAb 786, supporting the fact that the fragment E543-Y553 changes accessibility, maybe during the E1-E2 transconformation. [less ▲]

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See detailPrediction of exercise pulmonary hypertension in asymptomatic degenerative mitral regurgitation
Magne, Julien ULg; Lancellotti, Patrizio ULg; O'Connor, K. et al

in Journal of the American Society of Echocardiography (2011), 24(9), 1004-1012

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See detailThe prediction of fund failure through performance diagnostics
Cogneau, Philippe ULg; Hübner, Georges ULg

in Journal of Banking and Finance (2015), 50

Using an international database featuring 1624 mutual funds over 15 years, this paper analyses the joint abilities of performance measures to predict subsequent fund failure. We examine the probability of ... [more ▼]

Using an international database featuring 1624 mutual funds over 15 years, this paper analyses the joint abilities of performance measures to predict subsequent fund failure. We examine the probability of disappearance over a time window, and expected fund survival time, and study the circumstances of a fund’s disappearance, its currency and domicile. By combining relevant measures, fund failure appears to a significant extent predictable, more than with single classical measures. Survivorship predictability has significant economic value. Such evidence suggests that past performance does not only influence investors’ perception of fund quality, but also reflects managers’ ability to sustain performance. [less ▲]

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See detailPrediction of genetic interactions in yeast using machine learning
Schrynemackers, Marie ULg

Poster (2009, October)

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See detailPrediction of genetic interactions in yeast using machine learning
Schrynemackers, Marie ULg

Poster (2010, September)

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See detailPrediction of genetic interactions in yeast using machine learning
Schrynemackers, Marie ULg

Conference (2009, December 14)

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See detailPrediction of genetic risk of complex diseases by supervised learning
Botta, Vincent ULg; Geurts, Pierre ULg; Hansoul, Sarah et al

Scientific conference (2008, May)

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See detailPrediction of hypertension from adolescence to adulthood : a 10 years follow-up study
Saint-Remy, Annie ULg; Rorive, Georges ULg

in CVD Epidemiology Newsletter (American Heart Association) (1992), 47

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See detailPrediction of individual methane emission by dairy cattle from mid-infrared spectra
Vanlierde, Amélie ULg; Delfosse, Camille; Dehareng, Frédéric et al

in Journal of Dairy Science, 94(E-Suppl. 1) (2011)

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See detailPrediction of individual methane emission by dairy cattle from mid-infrared spectra
Vanlierde, Amélie ULg; Delfosse, Camille; Dehareng, Frédéric et al

Conference (2010, July 14)

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See detailPrediction of knee loads using a lower extremity model based on the Klein Horsman data set
Schwartz, Cédric ULg; Lund, Morten; de Zee, Mark et al

Conference (2010, June)

In this paper, the in-vivo loads of the knee joint provided by an instrumented prosthesis (Fregly et al., 2010, Lin et al., 2010, Kim et al., 2009) are compared to the results obtained from an ... [more ▼]

In this paper, the in-vivo loads of the knee joint provided by an instrumented prosthesis (Fregly et al., 2010, Lin et al., 2010, Kim et al., 2009) are compared to the results obtained from an implementation of the Klein Horsman data set (2007) in the AnyBody Modeling System. The lateral and medial knee contact forces are estimated directly from the knee modeled as a modified revolute joint. As such, this study presents what can be achieved by estimating the knee contact forces from a simplified knee model. [less ▲]

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See detailPrediction of landslide susceptibility in a seismically active high mountain region using data mining methods - a study from Maily-Say, Kyrgyzstan
Braun, Anika; Fernandez-Steeger, Tomas; Havenith, Hans-Balder ULg et al

in Reicherter, Klaus; Rudersdorf, Andreas; Grützner, Christoph (Eds.) Seismic Hazard, Critical Facilities and Slow Active Faults, Proceedings (2013, October)

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See detailPrediction of macroscopic mechanical properties of a polycrystalline microbeam subjected to material uncertainties
Lucas, Vincent ULg; Wu, Ling ULg; Arnst, Maarten ULg et al

in Cunha, Álvaro; Caetano, Elsa; Ribeiro, Pedro (Eds.) et al Proceedings of the 9th International Conference on Structural Dynamics, EURODYN 2014 (2014, June)

The first resonance frequency is a key performance characteristic of MEMS vibrometers. In batch fabrication, this first resonance frequency can exhibit scatter owing to various sources of manufacturing ... [more ▼]

The first resonance frequency is a key performance characteristic of MEMS vibrometers. In batch fabrication, this first resonance frequency can exhibit scatter owing to various sources of manufacturing variability involved in the fabrication process. The aim of this work is to develop a stochastic multiscale model for predicting the first resonance frequency of MEMS microbeams constituted of polycrystals while accounting for the uncertainties in the microstructure due to the grain orientations. At the finest scale, we model the microstructure of polycrystaline materials using a random Voronoï tessellation, each grain being assigned a random orientation. Then, we apply a computational homogenization procedure on statistical volume elements to obtain a stochastic characterization of the elasticity tensor at the second scale of interest, the meso-scale. In the future, using a stochastic finite element method, we will propagate these meso-scale uncertainties to the first resonance frequency at the coarser scale. [less ▲]

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See detailPrediction of maternal predisposition to preeclampsia
Emonts, Patrick ULg; Seaksan, S.; Seidel, Laurence ULg et al

in Hypertension in Pregnancy : Official Journal of the International Society for the Study of Hypertension in Pregnancy (2008), 27(3), 237-45

Objective: To derive a prediction index based on the most salient patient history, laboratory, and clinical parameters for identifying women at high risk for developing preeclampsia (PE). Methods ... [more ▼]

Objective: To derive a prediction index based on the most salient patient history, laboratory, and clinical parameters for identifying women at high risk for developing preeclampsia (PE). Methods: Nonpregnant women with a history of PE (n = 101) were compared with nonpregnant parous women with a history of one or more successful normotensive pregnancies (n = 50) but with comparable age, gestation, and parity profiles. The parameters included a medical examination (demographics, patient history, family history, and clinical and obstetrical findings), laboratory investigations (hemostasis, coagulation, and vitamins), and morphological and functional tests (cardiovascular and renal functions). Stepwise logistic regression analysis was applied to develop a three-step PE prediction index based on the most discriminant parameters. Results: Patients with and without PE differed significantly (p < 0.05) with respect to 1) maternal history of chronic hypertension, body mass index, and blood pressure; 2) APTT, PT, activated factor VIII, homocystein, free protein S and vitamin B1; and 3) relative plasma volume. Based on these three sets of parameters, a three-step PE prediction index was developed. The likelihood ratio of a positive index score was equal to 3.4, 7.3, and 8.8, respectively. Thus, assuming a PE prevalence (or prior probability) of 5%, a patient's chances of developing PE when presenting with a positive score on the three-step prediction index were 15%, 28%, and 32%, respectively. Discussion: In the absence of welldefined pre-pregnancy screening guidelines for PE, the present study attempts to proceed in a stepwise fashion by looking at medical examination data first, requesting, if necessary, specific hemostasis and coagulation tests next, and finally measuring the relative plasma volume for confirmatory purposes. This approach offers a satisfactory positive predictive value and cost efficiency ratio. [less ▲]

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See detailPrediction of maximum loads due to turbulent gusts using nonlinear system identification
Dimitriadis, Grigorios ULg; Cooper, J. E.

in Proceedings of the 1997 International Forum on Aeroelasticity and Structural Dynamics (1997, June)

Two nonlinear system identification methods, the NARMAX method and a proposed method based on the Restoring Force Surface method, were used in conjunction with two gust load prediction methods, the ... [more ▼]

Two nonlinear system identification methods, the NARMAX method and a proposed method based on the Restoring Force Surface method, were used in conjunction with two gust load prediction methods, the Matched Filter Based 1-dimensional search and the Deterministic Spectral procedure - or Matched Filter Based multi-dimensional search - in order to demonstrate the feasibility of obtaining maximised gust loads using identified models of nonlinear aeroelastic systems. The procedure was tried on two different mathematical systems, a simple, one-degree-of-freedom system with cubic nonlinearity and a model of a wing with control surface and discontinuous nonlinearities. The maximised gust loads predicted from the identified systems were very close to the ones obtained for the actual systems. Furthermore, it was demonstrated that performing the identification procedure at low excitation levels does not adversely affect the prediction of the maximised loads and critical gust profiles. [less ▲]

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See detailPrediction of mean and turbulent kinetic energy in rectangular shallow reservoirs
Camnasio, Erica; Erpicum, Sébastien ULg; Archambeau, Pierre ULg et al

in Engineering Applications of Computational Fluid Mechanics (2014), 8(4),

Shallow rectangular reservoirs are common structures in urban hydraulics and river engineering. Despite their simple geometry, complex symmetric and asymmetric flow fields develop in such reservoirs ... [more ▼]

Shallow rectangular reservoirs are common structures in urban hydraulics and river engineering. Despite their simple geometry, complex symmetric and asymmetric flow fields develop in such reservoirs, depending on their expansion ratio and length-to-width ratio. The original contribution of this study is the analysis of the kinetic energy content of the mean flow, based on UVP velocity measurements carried throughout the reservoir in eleven different geometric configurations. A new relationship is derived between the specific mean kinetic energy and the reservoir shape factor. For most considered geometric configurations, leading to four different flow patterns, the experimentally observed flow fields and mean kinetic energy contents are successfully reproduced by an operational numerical model based on the depth-averaged flow equations and a two-length-scale k-e turbulence closure. The analysis also highlights the better performance of this depth-averaged k-e model compared to an algebraic turbulence model. Finally, the turbulent kinetic energy in the reservoir is derived from the experimental measurements and the corresponding numerical predictions based on the k-e model agree satisfactorily in the main jet but not in the recirculation zones. [less ▲]

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See detailPrediction of mean skin temperature in warm environments
Mairiaux, Philippe ULg; Malchaire, J.; Candas, V.

in European Journal of Applied Physiology and Occupational Physiology (1987), 56(6), 686-92

The data collected by the authors in four experimental series have been analysed together with data from the literature, to study the relationship between mean skin temperature and climatic parameters ... [more ▼]

The data collected by the authors in four experimental series have been analysed together with data from the literature, to study the relationship between mean skin temperature and climatic parameters, subject metabolic rate and clothing insulation. The subjects involved in the various studies were young male subjects, unacclimatized to heat. The range of conditions examined involved mean skin temperatures between 33 degrees C and 38 degrees C, air temperatures (Ta) between 23 degrees C and 50 degrees C, ambient water vapour pressures (Pa) between 1 and 4.8 kPa, air velocities (Va) between 0.2 and 0.9 m.s-1, metabolic rates (M) between 50 and 270 W.m-2, and Clo values between 0.1 and 0.6. In 95% of the data, mean radiant temperature was within +/- 3 degrees C of air temperature. Based on 190 data averaged over individual values, the following equation was derived by a multiple linear regression technique: Tsk = 30.0 + 0.138 Ta + 0.254 Pa-0.57 Va + 1.28.10(-3) M-0.553 Clo. This equation was used to predict mean skin temperature from 629 individual data. The difference between observed and predicted values was within +/- 0.6 degrees C in 70% of the cases and within +/- 1 degrees C in 90% of the cases. It is concluded that the proposed formula may be used to predict mean skin temperature with satisfactory accuracy in nude to lightly clad subjects exposed to warm ambient conditions with no significant radiant heat load. [less ▲]

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See detailPrediction Of Membrane Protein Orientation In Lipid Bilayers: A Theoretical Approach
Basyn, F.; Charloteaux, Benoît ULg; Thomas, Annick ULg et al

in Journal of Molecular Graphics & Modelling (2001), 20(3), 235-44

Over the past few years, several three-dimensional (3-D) structures of membrane proteins have been described with increasing accuracy, but their relationship with membranes are still not well understood ... [more ▼]

Over the past few years, several three-dimensional (3-D) structures of membrane proteins have been described with increasing accuracy, but their relationship with membranes are still not well understood. Recently, we have developed an empirical method, Integral Membrane Protein and Lipid Association (IMPALA), to predict the insertion of molecules (lipids, drugs) into lipid bilayers (Proteins 30 (1998) 357). The IMPALA uses a Monte Carlo minimisation procedure to calculate the depth and the angle of insertion of membrane-interacting molecules taking into account the restraints dictated by a lipid bilayer. In this paper, we use IMPALA to test the insertion of 23 integral membranous proteins (IMPs) and 2 soluble proteins into membranes. Four IMP are studied in detail: OmpA, maltoporin, MsCl channel and bacteriorhodopsin. The 3-D structures of the proteins are kept constant and the insertion into membrane is monitored by minimising the value of the restraint representing the sum of two terms, one for lipid perturbation and the other for hydrophobicity. The two soluble proteins are rejected from the membrane whereas, under the same conditions, all the membrane proteins remain inside, if the solvent accessible surface of the amino acids located inside the pore of porins is ignored. The results give the tilt angle of the IMP helices or strands with respect to the membrane surface and the depth of the protein mass centre insertion. We conclude that the restraint terms of IMPALA could be used to study the insertion of model structures or complexes of proteins within membranes. [less ▲]

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