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Peer Reviewed
See detailApplication of an electromagnetic modeling method for railway grounding systems subjected to lightning strikes
Jacqmaer, P.; Geuzaine, Christophe ULg; Driesen, J.

in 13th International Conference on Harmonics and Quality of Power (ICHQP XIII) (2008)

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See detailApplication of an ensemble Kalman Filter to a 1D coupled physical-biological model of the Ligurian sea
Lenartz, Fabian ULg; Raick, Caroline ULg; Soetaert, Karline et al

in Journal of Marine Systems (2007), 67

The Ensemble Kalman filter (EnKF) has been applied to a 1-D complex ecosystem model coupled with a hydrodynamic model of the Ligurian Sea. In order to improve the performance of the EnKF, an ensemble ... [more ▼]

The Ensemble Kalman filter (EnKF) has been applied to a 1-D complex ecosystem model coupled with a hydrodynamic model of the Ligurian Sea. In order to improve the performance of the EnKF, an ensemble subsampling strategy has been used to better represent the covariance matrices and a pre-analysis step for correcting the non-normality of the members distribution has been implemented. Twin experiments have been realized to assess the performance of the developed tool and a real data assimilation experiment has been conducted to hindcast the ecosystem at the Dyfamed site during the year 2000. Finally the performance of the EnKF has been compared with a Singular Evolutive Extended Kalman (SEEK) filter with a fixed basis. We conclude that, on one hand, there is a benefit in using the subsampling strategy and the lognormal transformation with the EnKF, and on the other hand, this filter presents better performance than the fixed basis version of the SEEK filter. However, it also incurs a large computational cost. [less ▲]

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See detailApplication of an enzyme-linked immunosorbent assay (ELISA) involving monoclonal antibody for detection of BLV antibodies in individual or pooled bovine milk samples
Mammerickx, Marc; Portetelle, Daniel ULg; Burny, Arsène

in Zentralblatt für Veterinarmedizin. Reihe B = Journal of Veterinary Medicine. Series B (1985), 32

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See detailAPPLICATION OF AN INNOVATIVE DESIGN SPACE OPTIMIZATION STRATEGY TO THE DEVELOPMENT OF LC METHODS TO COMBAT POTENTIALLY COUNTERFEIT NONSTEROIDAL ANTIINFLAMMATORY DRUGS
Mbinze Kindenge, Jérémie ULg; Lebrun, Pierre ULg; Debrus, Benjamin ULg et al

in Journal of Chromatography. A (2012), 1263

In the context of the battle against counterfeit medicines, an innovative methodology has been used to develop rapid and specific high performance liquid chromatographic methods to detect and determine 18 ... [more ▼]

In the context of the battle against counterfeit medicines, an innovative methodology has been used to develop rapid and specific high performance liquid chromatographic methods to detect and determine 18 non-steroidal anti-inflammatory drugs, 5 pharmaceutical conservatives, paracetamol, chlorzoxazone, caffeine and salicylic acid. These molecules are commonly encountered alone or in combination on the market. Regrettably, a significant proportion of these consumed medicines are counterfeit or substandard, with a strong negative impact in countries of Central Africa. In this context, an innovative design space optimization strategy was successfully applied to the development of LC screening methods allowing the detection of substandard or counterfeit medicines. Using the results of a unique experimental design, the design spaces of 5 potentially relevant HPLC methods have been developed, and transferred to an ultra high performance liquid chromatographic system to evaluate the robustness of the predicted DS while providing rapid methods of analysis. Moreover, one of the methods has been fully validated using the accuracy profile as decision tool, and was then used for the quantitative determination of three active ingredients and one impurity in a common and widely used pharmaceutical formulation. The method was applied to 5 pharmaceuticals sold in the Democratic Republic of Congo. None of these pharmaceuticals was found compliant to the European Medicines Agency specifications [less ▲]

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See detailApplication of an innovative design space optimization strategy to thedevelopment of LC methods for the simultaneous screening of antibiotics to combat poor quality medicines
Mbinze Kindenge, Jérémie ULg; Dispas, Amandine ULg; Lebrun, Pierre ULg et al

in Journal of Pharmaceutical & Biomedical Analysis (2013), 85

The poor quality of medicines is a crucial problem of public health. Therefore, it is important to haveanalytical tools to attend decisions of the legal authorities while combating this offense. In this ... [more ▼]

The poor quality of medicines is a crucial problem of public health. Therefore, it is important to haveanalytical tools to attend decisions of the legal authorities while combating this offense. In this context,the main objective of this study was to develop generic methods able to trace, screen and determineseveral antibiotics and common associated molecules by mean of liquid chromatographic techniques.For that purpose, an innovative Design Space optimization strategy was applied, targeting 16 antibioticsand 3 beta-lactamase inhibitors. The robustness of the developed method allowed using its use in anenvironment where operational factors such as temperature are not easy to control and eased its trans-fer to Ultra High Performance Liquid Chromatography. To demonstrate its ability to quantify the targetedmolecules, the developed and transferred method was fully validated for two active ingredients com-monly used in association, sulbactam and ceftriaxone, using the accuracy profile as decision tool. Basedon this successful step, the method was then used for the quantitative determination of these two activeingredients in three pharmaceutical brands marketed in the Democratic Republic of Congo. Two out ofthe three pharmaceutical products did not comply with the specifications [less ▲]

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See detailApplication of ARMAV models to identification and damage detection of mechanical and civil engineering structures
Bodeux, Jean-Bernard; Golinval, Jean-Claude ULg

in Smart Materials & Structures (2001), 10(3), 479-489

In this paper, the application of auto-regressive moving average vector models to system identification and damage detection is investigated. These parametric models have already been applied for the ... [more ▼]

In this paper, the application of auto-regressive moving average vector models to system identification and damage detection is investigated. These parametric models have already been applied for the analysis of multiple input-output systems under ambient excitation. Their main advantage consists in the capability of extracting modal parameters from the recorded time signals, without the requirement of excitation measurement. The excitation is supposed to be a stationary Gaussian white noise. The method also allows the estimation of modal parameter uncertainties. On the basis of these uncertainties, a statistically based damage detection scheme is performed and it becomes possible to assess whether changes of modal parameters are caused by, e.g. some damage or simply by estimation inaccuracies. The paper reports first an example of identification and damage detection applied to a simulated system under random excitation. The `Steel-Quake' benchmark proposed in the framework of COST Action F3 `Structural Dynamics' is also analysed. This structure was defined by the Joint Research Centre in Ispra (Italy) to test steel building performance during earthquakes. The proposed method gives an excellent identification of frequencies and mode shapes, while damping ratios are estimated with less accuracy. [less ▲]

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See detailApplication of artificial neural networks to the evaluation of the ultimate strength of uniaxially compressed welded stiffened aluminium plates
Zareei, Mohammad Reza; Khedmati, Mohammad Reza; Rigo, Philippe ULg

in Proceedings of the Institution of Mechanical Engineers. Part M, Journal of Engineering for the Maritime Environment (2012)

A series of elastoplastic large-deflection finite element analyses is performed on stiffened aluminium plates with flat-bar stiffeners under in-plane longitudinal compression loads. Then, the closed-form ... [more ▼]

A series of elastoplastic large-deflection finite element analyses is performed on stiffened aluminium plates with flat-bar stiffeners under in-plane longitudinal compression loads. Then, the closed-form ultimate compressive strength formula is derived for stiffened aluminium plates by regression analysis. Finally, artificial neural network methodology is applied to predict the ultimate strength of uniaxially compressed stiffened aluminium plates. It is found that artificial neural network models can produce a more accurate prediction of the ultimate strength of the stiffened aluminium plates than can the existing empirical formula. [less ▲]

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See detailApplication of Bayesian Population Physiologically Based Pharmacokinetic (PBPK) Modeling and Markov Chain Monte Carlo Simulations to Pesticide Kinetics Studies in Protected Marine Mammals: DDT, DDE, and DDD in Harbor Porpoises
Weijs, Liesbeth; Yang, Raymond S.H.; Das, Krishna ULg et al

in Environmental Science & Technology (2013), 47

Physiologically based pharmacokinetic (PBPK) modeling in marine mammals is a challenge because of the lack of parameter information and the ban on exposure experiments. To minimize uncertainty and ... [more ▼]

Physiologically based pharmacokinetic (PBPK) modeling in marine mammals is a challenge because of the lack of parameter information and the ban on exposure experiments. To minimize uncertainty and variability, parameter estimation methods are required for the development of reliable PBPK models. The present study is the first to develop PBPK models for the lifetime bioaccumulation of p,p′-DDT, p,p′-DDE, and p,p′- DDD in harbor porpoises. In addition, this study is also the first to apply the Bayesian approach executed with Markov chain Monte Carlo simulations using two data sets of harbor porpoises from the Black and North Seas. Parameters from the literature were used as priors for the first “model update” using the Black Sea data set, the resulting posterior parameters were then used as priors for the second “model update” using the North Sea data set. As such, PBPK models with parameters specific for harbor porpoises could be strengthened with more robust probability distributions. As the science and biomonitoring effort progress in this area, more data sets will become available to further strengthen and update the parameters in the PBPK models for harbor porpoises as a species anywhere in the world. Further, such an approach could very well be extended to other protected marine mammals. [less ▲]

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See detailApplication of bioencapsulated proteinase and peptides for wound healing
Markvicheva, E; Dugina, T.; Grandfils, Christian ULg et al

Conference (2003, November 08)

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See detailApplication of bioencapsulated proteinases and peptides for wound gealing
Markvicheva, E; Dugina, T; Grandfils, Christian ULg et al

in Chemical Industry (2004), 58(6a), 165-175

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See detailApplication of biomarkers in the development of drugs intended for the treatment of osteoarthritis.
Kraus, V. B.; Burnett, B.; Coindreau, J. et al

in Osteoarthritis and Cartilage (2011), 19(5), 515-42

OBJECTIVE: Osteoarthritis (OA) is a chronic and slowly progressive disease for which biomarkers may be able to provide a more rapid indication of therapeutic responses to therapy than is currently ... [more ▼]

OBJECTIVE: Osteoarthritis (OA) is a chronic and slowly progressive disease for which biomarkers may be able to provide a more rapid indication of therapeutic responses to therapy than is currently available; this could accelerate and facilitate OA drug discovery and development programs. The goal of this document is to provide a summary and guide to the application of in vitro (biochemical and other soluble) biomarkers in the development of drugs for OA and to outline and stimulate a research agenda that will further this goal. METHODS: The Biomarkers Working Group representing experts in the field of OA biomarker research from both academia and industry developed this consensus document between 2007 and 2009 at the behest of the Osteoarthritis Research Society International Federal Drug Administration initiative (OARSI FDA initiative). RESULTS: This document summarizes definitions and classification systems for biomarkers, the current outcome measures used in OA clinical trials, applications and potential utility of biomarkers for development of OA therapeutics, the current state of qualification of OA-related biomarkers, pathways for biomarker qualification, critical needs to advance the use of biomarkers for drug development, recommendations regarding practices and clinical trials, and a research agenda to advance the science of OA-related biomarkers. CONCLUSIONS: Although many OA-related biomarkers are currently available they exist in various states of qualification and validation. The biomarkers that are likely to have the earliest beneficial impact on clinical trials fall into two general categories, those that will allow targeting of subjects most likely to either respond and/or progress (prognostic value) within a reasonable and manageable time frame for a clinical study (for instance within 1-2 years for an OA trial), and those that provide early feedback for preclinical decision-making and for trial organizers that a drug is having the desired biochemical effect. As in vitro biomarkers are increasingly investigated in the context of specific drug treatments, advances in the field can be expected that will lead to rapid expansion of the list of available biomarkers with increasing understanding of the molecular processes that they represent. [less ▲]

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See detailApplication of canonical transformation with missing values to multitrait evaluation of Jersey type
Gengler, Nicolas ULg; Wiggans, G. R.; Wright, J. R. et al

in Journal of Dairy Science (1997), 80(10), 2563-2571

A multitrait animal model was used to calculate predicted transmitting ability and reliabilities for final score and 15 linear type traits of 225,632 US Jersey cows. Records were adjusted for age and ... [more ▼]

A multitrait animal model was used to calculate predicted transmitting ability and reliabilities for final score and 15 linear type traits of 225,632 US Jersey cows. Records were adjusted for age and stage of lactation before analysis. The model contained effects for interactions of herd and date scored; year scored, parity, and age; and herd and sire; effects of permanent environment and additive genetics were also included. Of the 381,511 records included, some observations were missing for final score (8%), body depth (43%), and teat length (33%). The evaluation system used a canonical transformation, included several random effects, and estimated missing values with each iteration. Inbreeding was considered in the computations. Convergence was achieved in approximately 50 rounds of iteration. Correlations between animal and sire model predicted transmitting ability ranged from 0.56 to 0.95 and generally were higher for bulls than for cows and for more recent birth years. Genetic trend was strongly positive for dairy form, final score, and rear udder traits (height and width) and negative for udder depth. For other traits, genetic trend was small. This methodology should improve the accuracy of genetic evaluations for type traits of US Jerseys. [less ▲]

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See detailApplication of CAPE techniques to the revamping of existing electrical power plants: an example of interdisciplinary collaboration.
Heyen, Georges ULg; Vrielynck, B.; Kalitventzeff, Boris ULg

in Computers & Chemical Engineering (1998), 22(Suppl. S), 239-246

Coupling of a partial oxidation reactor with a gas turbine. is proposed to increase the capacity and efficiency of thermal power plants. The exhaust of the partial oxidation gas turbine:is a preheated ... [more ▼]

Coupling of a partial oxidation reactor with a gas turbine. is proposed to increase the capacity and efficiency of thermal power plants. The exhaust of the partial oxidation gas turbine:is a preheated fuel that can be burned with little modification in the existing steam generator. The feasibility study requires the development of a reliable model for an existing 250 MW power plant. Data reconciliation is found valuable for obtaining precise mass and energy balances and for screening out unreliable measurements. The identification of model parameters from reconciled values is then straightforward. The same validation Software is later applied to rating simulation of the modified plant, by merging the partial oxidation gas turbine in the model. (C) 1998 Elsevier Science Ltd. All rights reserved. [less ▲]

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See detailAPPLICATION OF CHEMICAL MASS BALANCE METHODOLOGY TO IDENTIFY THE DIFFERENT SOURCES RESPONSIBLE FOR THE OLFACTORY ANNOYANCE AT A RECEPTOR-SITE
Clarke, Kevin; Romain, Anne-Claude ULg; Locoge, Nadine et al

in Del Rosso, Renato (Ed.) Chemical engineering transactions : NOSE2012 International Conference on Environmental Odour (2012, September)

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See detailApplication of data mining to optimize settings for generator tripping and load shedding system in emergency control at Hydro-Quebec
Huang, J. A.; Harrison, S.; Vanier, G. et al

in COMPEL (2004), 23(1 Sp. Iss. SI), 21-34

This paper describes the on-going work done by Hydro-Quebec to optimize the settings of automatic devices installed in its main power plants to maintain secure operation under extreme contingencies. The ... [more ▼]

This paper describes the on-going work done by Hydro-Quebec to optimize the settings of automatic devices installed in its main power plants to maintain secure operation under extreme contingencies. The automatic generator tripping and load shedding system (RPTC) described in this paper is installed at the Churchill Falls hydroelectric power plant (5,500 MW) in Labrador. Data mining techniques such as decision trees and regression trees have been used. Real time snapshots of the Hydro-Quebec power system collected over a 5 year period have been used to generate large amounts of results by transient stability simulations. The processing of these data has been done using software developed by the University of Liege. This approach gives the most relevant parameters and finds optimal settings for the RPTC system, minimizing the number of tripped generator units while maintaining the same performance in terms of security coverage. New operation rules can thus be established. [less ▲]

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See detailAPPLICATION OF DESIGN OF EXPERIMENTS AND DESIGN SPACE METHODOLOGY FOR THE HPLC-UV SEPARATION OPTIMIZATION OF APORPHINE ALKALOIDS FROM LEAVES OF Spirospermum penduliflorum THOUARS
Rafamantanana, Mamy; Debrus, Benjamin ULg; Raoelison, Guy et al

in Journal of Pharmaceutical & Biomedical Analysis (2012), 62

Spirospermum penduliflorum Thouars (Menispermaceae) is an endemic species of Madagascar traditionally used as vasorelaxant. Recently, two aporphine alkaloids known to possess antihypertensive activity ... [more ▼]

Spirospermum penduliflorum Thouars (Menispermaceae) is an endemic species of Madagascar traditionally used as vasorelaxant. Recently, two aporphine alkaloids known to possess antihypertensive activity (dicentrine and neolitsine) were isolated and identified from the leaves of this plant. In the present study, a HPLC-UV method allowing the separation of all alkaloids and the quantification of dicentrine in the alkaloidic extract of leaves was developed using design of experiments and design space methodology. Three common chromatographic parameters (i.e. the mobile phase pH, the initial proportion of methanol and the gradient slope) were selected to construct a full factorial design of 36 experimental conditions. The times at the beginning, the apex (i.e. the retention time) and the end of each peak were recorded and modelled by multiple linear equations. The corresponding residuals were normally distributed which confirmed that the models can be used for the prediction of the retention times and to optimize the separation. The optimal separation was predicted at pH 3, with a gradient starting at 32% of methanol and a gradient slope of 0.42%/min. Good agreement was obtained between predicted and experimental chromatograms. The method was also validated using total error concept. Using the accuracy profile approach, validation results gave a LOD and LOQ for dicentrine of 3 µg/ml and 10 µg/ml, respectively. A relative standard deviation for intermediate precision lower than 10% was obtained. This method was found to provide accurate results in the concentration range of 10 µg/ml to 75 µg/ml of dicentrine and is suitable for routine analysis. [less ▲]

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See detailApplication of deterministic and stochastic analysis to calculate a stadium with pressure measurements in wind tunnel
Blaise, Nicolas ULg; Denoël, Vincent ULg; De Ville De Goyet, Vincent ULg et al

in Proceedings of the 8th International Conference on Structural Dynamics EURODYN 2011 (2011, July)

This paper aims at comparing different analysis methods in the design of a roof subjected to buffeting wind forces. The specificity of this study is that pressures acting on the stadium roof are measured ... [more ▼]

This paper aims at comparing different analysis methods in the design of a roof subjected to buffeting wind forces. The specificity of this study is that pressures acting on the stadium roof are measured in a wind tunnel. The key idea is to fit a probabilistic model onto the measured data and to perform the stochastic analysis as a usual buffeting analysis. [less ▲]

Detailed reference viewed: 99 (19 ULg)