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See detailGrade retention at the transition to secondary school: A quasi-experimental study of its consequences on relationships with parents and peers
Lecocq, Aurélie; Mathys, Cécile ULg; Véronneau, Marie-Hélène

Conference (2014, May)

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See detailDeterminant of fat mass percentage and absolute fat-free mass in preterm infants at the time of hospital discharge
Simon, Laure; Frondas-Chauty, Anne; SENTERRE, Thibault ULg et al

in American Journal of Clinical Nutrition (2014), 100(1), 98-104

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See detailMicroRNA Targeting of CoREST controls polarization of migrating cortical neurons
Volvert; Prévot, Pierre-Paul; Close, Pierre ULg et al

in Cell Reports (2014), 7(4), 1168-83

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See detailA generic approach for solving nonlinear-discrete security-constrained power flow problems in large-scale systems
Platbrood, Ludovic; Capitanescu, Florin; Crisciu, Horia et al

in IEEE Transactions on Power Systems (2014), 29(3), 1194-1203

This paper proves the practicality of an iterative algorithm for solving realistic large-scale SCOPF problems. This algorithm is based on the combination of a contingency filtering scheme, used to ... [more ▼]

This paper proves the practicality of an iterative algorithm for solving realistic large-scale SCOPF problems. This algorithm is based on the combination of a contingency filtering scheme, used to identify the binding contingencies at the optimum, and a network compression method, used to reduce the complexity of the post-contingency models included in the SCOPF formulation. We show that by combining these two complementary ideas, it is possible to solve in a reasonable time SCOPF problems on large power system models with a large number of contingencies. Unlike most results reported for large-scale SCOPF problems, our algorithm uses a non-linear AC network model in both pre-contingency and post-contingency states, optimizes both active/reactive powers flows jointly, and treats the discrete variables. The proposed algorithm is implemented with state-of-the-art solvers and applied to two systems: a national grid with 2563 buses and 1297 contingencies, and a model of the European transmission network with 9241 buses and 12000 contingencies. [less ▲]

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See detailImplementation of a non-orthogonal constitutive model for the finite element simulation of textile composite draping
Pierce, Robert S; Falzon, Brian G; Thompson, Mark C et al

in Applied Mechanics and Materials (2014), 553

In the pursuit of producing high quality composite aircraft structures at a low cost, out-of-autoclave manufacturing processes for textile reinforcements are being simulated with increasing accuracy. This ... [more ▼]

In the pursuit of producing high quality composite aircraft structures at a low cost, out-of-autoclave manufacturing processes for textile reinforcements are being simulated with increasing accuracy. This paper focuses on the continuum-based, finite element modelling of textile composites as they deform during the draping process. A non-orthogonal constitutive model tracks yarn orientations within a material subroutine developed for Abaqus/Explicit, resulting in the realistic determination of fabric shearing and material draw-in. Supplementary material characterisation was experimentally performed in order to define the tensile and non-linear shear behaviour accurately. The validity of the finite element model has been studied through comparison with similar research in the field and the experimental lay-up of carbon fibre textile reinforcement over a tool with double curvature geometry, showing good agreement. [less ▲]

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See detailToggling a genetic switch using reinforcement learning
Sootla, Aivar; Strelkowa, Natalja; Ernst, Damien ULg et al

in Proceedings of the 9th French Meeting on Planning, Decision Making and Learning (2014, May)

In this paper, we consider the problem of optimal exogenous control of gene regulatory networks. Our approach consists in adapting an established reinforcement learning algorithm called the fitted Q ... [more ▼]

In this paper, we consider the problem of optimal exogenous control of gene regulatory networks. Our approach consists in adapting an established reinforcement learning algorithm called the fitted Q iteration. This algorithm infers the control law directly from the measurements of the system’s response to external control inputs without the use of a mathematical model of the system. The measurement data set can either be collected from wet-lab experiments or artificially created by computer simulations of dynamical models of the system. The algorithm is applicable to a wide range of biological systems due to its ability to deal with nonlinear and stochastic system dynamics. To illustrate the application of the algorithm to a gene regulatory network, the regulation of the toggle switch system is considered. The control objective of this problem is to drive the concentrations of two specific proteins to a target region in the state space. [less ▲]

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See detailThree North American Mystery Tales
Dechêne, Antoine ULg

Conference (2014, May)

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See detailHigh resolution saturated hydraulic conductivity logging of friable to poorly indurated borehole cores using air permeability measurements
Rogiers, Bart; Winters, P.; Huysmans, Marijke et al

in Hydrogeology Journal (2014)

Saturated hydraulic conductivity (Ks) is one of the most important parameters determining groundwater flow and contaminant transport in both unsaturated and saturated porous media. This paper investigates ... [more ▼]

Saturated hydraulic conductivity (Ks) is one of the most important parameters determining groundwater flow and contaminant transport in both unsaturated and saturated porous media. This paper investigates the hand-held air permeameter technique for high resolution hydraulic conductivity determination on borehole cores using a spatial resolution of ~0.05 m. We test the suitability of such air permeameter measurements on friable to poorly indurated sediments to improve the spatial prediction of classical laboratory based Ks measurements obtained at a much lower spatial resolution (~2 m). About 368 Ks measurements were made on ~350 m of borehole cores originating from the Campine basin, Northern Belgium, while ~5230 air permeability measurements were performed on the same cores. The heterogeneity in sediments, ranging from sand to clayey sand with distinct clay lenses, resulted in a Ks range of seven orders of magnitude. Cross-validation demonstrated that using air permeameter data as secondary variable and laboratory based Ks measurements as primary variable increased performance from R2 = 0.35 for ordinary kriging (laboratory Ks only) to R2 = 0.61 for co-kriging. Due to the large degree of small-scale variability detected by the air permeameter, the spatial granularity in the predicted laboratory Ks also increases drastically. The separate treatment of Kh and Kv revealed considerable anisotropy in certain lithostratigraphical units, while others where clearly isotropic at the sample scale. Air permeameter measurements on borehole cores provide a cost-effective way to improve spatial predictions of traditional laboratory based Ks. [less ▲]

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See detailCacahuète céleste
Nazé, Yaël ULg

Article for general public (2014)

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See detailProjected inhibition of platelet aggregation with ticagrelor twice daily vs. clopidogrel once daily based on patient adherence data (the TWICE project)
Vrijens, Bernard ULg; Claeys, M.J.; LEGRAND, Victor ULg et al

in British Journal of Clinical Pharmacology (2014), 77(5), 746-755

Abstract Aim Twice daily dosing is often perceived as inferior to once daily dosing due to a higher likelihood of missing a dose. However, more important is the extent to which drug action is maintained ... [more ▼]

Abstract Aim Twice daily dosing is often perceived as inferior to once daily dosing due to a higher likelihood of missing a dose. However, more important is the extent to which drug action is maintained when doses are delayed or missed. We compared the estimated inhibition of platelet aggregation (eIPA) for ticagrelor twice daily and clopidogrel once daily, based on their pharmacokinetic/ pharmacodynamic relationships and patient dosing history data. Methods Drug dosing histories of 5014 patients prescribed cardiovascular medications (primarily antihypertensive medicines) were extracted from an electronically compiled dosing history database. eIPA levels were simulated for 677 twice daily and 677 once daily dosing histories over a 30 day period, based on published onset/offset models for ticagrelor and clopidogrel IPA characteristics. Results While many patients treated twice daily missed at least one dose in 30 days, only 25.7% missed two consecutive doses. By comparison, 46.8% of patients treated once daily missed at least one dose. Simulations based on patient adherence over time showed that the average mean eIPA for ticagrelor twice daily remained significantly higher than for clopidogrel once daily (81.1% vs. 55.0%, P < 0.001). Ticagrelor twice daily patients had an eIPA below 10% for 0.20% of the 30 day period compared with 2.05% for clopidogrel once daily (P = 0.0001). Conclusions The projected level of platelet inhibition remained higher for ticagrelor twice daily than clopidogrel once daily, mainly due to the higher eIPA level achieved with ticagrelor and the relatively low likelihood of missing two consecutive twice daily doses. This modelling and simulation study suggests a therapeutic benefit of ticagrelor over clopidogrel when taking into account the most common dosing omissions. © 2013 The British Pharmacological Society. [less ▲]

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See detailMaison Van Spauwen
Frankignoulle, Pierre ULg

in Charlier, Sébastien; Moor, Thomas (Eds.) Guide Architecture moderne et contemporaine 1895-2014. Liège . (2014)

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See detailLa spectroscopie proche infrarouge, une technique non destructive dans la lutte contre la contrefaçon des médicaments
Mbinze Kindenge, Jérémie ULg; Kalenda Tshilombo, Nicodème; Chavez, Pierre-François ULg et al

in Spectra Analyse (2014), 43

Near infrared spectroscopy is a very promising and expanding analytical technique. It has to be noted that this technique is becoming more used in the pharmaceutical field for the quality control of ... [more ▼]

Near infrared spectroscopy is a very promising and expanding analytical technique. It has to be noted that this technique is becoming more used in the pharmaceutical field for the quality control of products. Indeed near infrared spectroscopy allows to perform fast, non-destructive, versatile analysis of the sample and minimization of the sample preparation. Based on those advantages, this spectroscopic method is one of the first reliable analytical techniques for fighting against counterfeit medicines. [less ▲]

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See detailTowards a real time release approach for manufacturing tablets using NIR spectroscopy
Pestieau, Aude ULg; Krier, Fabrice ULg; Thoorens, Grégory et al

in Journal of Pharmaceutical & Biomedical Analysis (2014), 98

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See detailStratégies analytiques pour la détection de contrefaçons de médicaments pour la dysfonction érectile
Sacre, Pierre-Yves ULg; Deconinck, Eric; Marini Djang'Eing'A, Roland ULg et al

in Spectra Analyse (2014), 43

Erectile dysfunction drugs are among the most counterfeit drug classes in industrialized countries. To fight against this plague, several analytical approaches are available for control laboratories. The ... [more ▼]

Erectile dysfunction drugs are among the most counterfeit drug classes in industrialized countries. To fight against this plague, several analytical approaches are available for control laboratories. The present article reviews the main used techniques and concludes presenting a general strategy for the detection and handling of drug counterfeits. [less ▲]

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See detailLutter contre le fléau des médicaments contrefaits
Rudaz, Serge; Hubert, Philippe ULg

in Spectra Analyse (2014), 298

Editorial

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See detailResilience to Flooding - Draft Building Code
Clarkson, John; Sullican, David; Braun, Kenton et al

in PIANC Yearbook 2013 (2014)

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See detailCan we use circulating biomarkers to monitor bone turnover in CKD haemodialysis patients? Hypotheses and facts
DELANAYE, Pierre ULg; Souberbielle, Jean-Claude; Lafage-Proust, Marie-Hélène et al

in Nephrology Dialysis Transplantation (2014), 29(5), 997-1004

Assessing bone turnover is a key diagnostic tool in the global management of chronic kidney disease-mineral and bone disorder (CKD-MBD). Since bone biopsy is invasive and cannot be repeated in clinical ... [more ▼]

Assessing bone turnover is a key diagnostic tool in the global management of chronic kidney disease-mineral and bone disorder (CKD-MBD). Since bone biopsy is invasive and cannot be repeated in clinical practice and because bone histomorphometry is less available due to the lack of specialized laboratories, we will focus on potential biomarkers used to assess and monitor bone turnover. After briefly reviewing the pathophysiology of bone turnover in CKD and haemodialysis patients, we will focus on the strengths and limitations of the now recommended biomarkers, i.e. parathormone and bone-specific alkaline phosphatase. We will consider the clinical and also the biological aspects of the topic and also insist on the use of these biomarkers for the monitoring, and the follow-up of the turnover in haemodialysis subjects. Finally, we will discuss some of the most promising, but still not recommended, emerging biomarkers. [less ▲]

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See detaille placebo chez l'enfant: actualisation scientifique
Battisti, Oreste ULg

Scientific conference (2014, May)

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