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See detailMathémagie et au-delà
Rigo, Michel ULg

Learning material (2010)

Nous présentons ici 5 tours de magie ne nécessitant aucune habileté particulière de la part de l'apprenti magicien : des tours de cartes, des tours de divination et le célèbre tour du ``barman aveugle ... [more ▼]

Nous présentons ici 5 tours de magie ne nécessitant aucune habileté particulière de la part de l'apprenti magicien : des tours de cartes, des tours de divination et le célèbre tour du ``barman aveugle avec des gants de boxe''. Contrairement au magicien qui ne dévoile jamais ses secrets, ici, nous expliquons que ces tours reposent sur diverses propriétés et constructions mathématiques. Ces dernières débouchent sur de véritables questions de recherche actuelle en théorie des graphes ou en combinatoire des mots et même sur de possibles applications en robotique et automatisation ! Il y en aura donc pour tous les goûts... et tous les niveaux (suivant l'auditoire, l'exposé sera adapté au niveau des élèves de la 4ième à la 6ième secondaire, voire même aux étudiants universitaires). Ce texte présente donc un matériel qui dépassera souvent (et de loin) le ``spectacle''. [less ▲]

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See detailMathémagie III
Rigo, Michel ULg

Speech (2013)

Cet exposé est dans la continuité de mes précédentes prestations comme apprenti-magicien. Il s'adresse au plus grand nombre et ne nécessite pas de prérequis particulier. Je réaliserai 6 ou 7 tours de ... [more ▼]

Cet exposé est dans la continuité de mes précédentes prestations comme apprenti-magicien. Il s'adresse au plus grand nombre et ne nécessite pas de prérequis particulier. Je réaliserai 6 ou 7 tours de "mathémagie" (tours de cartes, divination, mentalisme,...). Pour chaque tour, le scénario sera identique : réalisation du tour, explication, mise en évidence des structures et résultats mathématiques sous-jacents et enfin, illustration de ces concepts mathématiques mis en oeuvre dans d'autres contextes (informatique, théorie de l'information, ...) [less ▲]

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See detailMathematical and numerical geohydrodynamic models
Beckers, Jean-Marie ULg

in Nihoul, Jacques; Chen, Chen-Tung Arthur (Eds.) Encyclopedia of life support systems (EOLSS) (2008)

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See detailA mathematical comment on the formulae for the aggregation index and the shape index.
Bogaert, Jan ULg; Myneni, R B; Knyazikhin, Y

in Landscape Ecology (2002), 17(1), 87-90

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See detailMathematical description of heat and mass transfer during deep-bed drying: effect of product shrinkage on bed porosity
Bennamoun, Lyes ULg; belhamri, Azeddine

in Applied Thermal Engineering (2008), 18(17-18), 2236-2244

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See detailMathematical formulation and exact solution for landing location problem in tropical forest selective logging, a case study in Southeast Cameroon
Philippart, Julien ULg; Minghe, Sun; Doucet, Jean-Louis ULg et al

in Journal of Forest Economics (2012), 18

In Central Africa, creating forest roads and skid trails is one of the most costly and environmentally damaging operations for the forest's ecosystem. An optimized road network is essential for reducing ... [more ▼]

In Central Africa, creating forest roads and skid trails is one of the most costly and environmentally damaging operations for the forest's ecosystem. An optimized road network is essential for reducing construction costs and improving the sustainable management of timber resources. The location of landings is vital in the development of a future forest road network. In this study, a binary integer programming model similar to the uncapacitated facility location problem is formulated to optimize the locations of the landings. The model is applied to selective logging in Central Africa and tested on an annual logging zone in Southeast Cameroon. The results are compared to that of manual road planning, the currently used method. [less ▲]

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See detailMathematical formulations of shallow water models with porosity for urban flood modeling
Bruwier, Martin ULg; Erpicum, Sébastien ULg; Archambeau, Pierre ULg et al

in ICHE 2014 : 11th International Conference on Hydroscience & Engineering (2014)

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See detailMathematical Level-Set Modelling of Cell Growth on 3D Surfaces
Guyot, Yann ULg; Papatoniou, Ioannis; Chai, Yoke Chin et al

Poster (2012, September)

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See detailA mathematical model describing the biology of orthodontic tooth movement
Van Schepdael, A.; Vander Sloten, Jos; Geris, Liesbet ULg

in Goh Cho Hong, James; Teck Lim, Chwee (Eds.) proceedings of the 6th world congress on biomechanics (2010)

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See detailA MATHEMATICAL MODEL FOR CELL/MATRIX GROWTH ON 3D SURFACES USING THE LEVEL SET METHOD.
Guyot, Yann ULg; Papantoniou, Ioannis; Chai, Yoke Chin et al

Conference (2013, April 03)

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See detailA mathematical model of adult subventricular neurogenesis.
Ashbourn, JM; Miller, JJ; Reumers, V et al

in Journal of the Royal Society, Interface (2012)

Neurogenesis has been the subject of active research in recent years and many authors have explored the phenomenology of the process, its regulation and its purported purpose. Recent developments in ... [more ▼]

Neurogenesis has been the subject of active research in recent years and many authors have explored the phenomenology of the process, its regulation and its purported purpose. Recent developments in bioluminescent imaging (BLI) allow direct in vivo imaging of neurogenesis, and in order to interpret the experimental results, mathematical models are necessary. This study proposes such a mathematical model that describes adult mammalian neurogenesis occurring in the subventricular zone and the subsequent migration of cells through the rostral migratory stream to the olfactory bulb (OB). This model assumes that a single chemoattractant is responsible for cell migration, secreted both by the OB and in an endocrine fashion by the cells involved in neurogenesis. The solutions to the system of partial differential equations are compared with the physiological rodent process, as previously documented in the literature and quantified through the use of BLI, and a parameter space is described, the corresponding solution to which matches that of the rodent model. A sensitivity analysis shows that this parameter space is stable to perturbation and furthermore that the system as a whole is sloppy. A large number of parameter sets are stochastically generated, and it is found that parameter spaces corresponding to physiologically plausible solutions generally obey constraints similar to the conditions reported in vivo. This further corroborates the model and its underlying assumptions based on the current understanding of the investigated phenomenon. Concomitantly, this leaves room for further quantitative predictions pertinent to the design of future proposed experiments. [less ▲]

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See detailA mathematical model of bone regeneration including angiogenesis: relevance for tissue engineering strategies
Van Oosterwyck, Hans; Vander Sloten, Jos; Geris, Liesbet ULg

in European Cells and Materials (2008), Vol. 14(Suppl. 1,), 29

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See detailA mathematical model of calcium ion influence on the activity of osteogenic cells
Carlier, Aurélie ULg; Chai, Yoke Chin; Theys, Tina et al

Poster (2010, November 19)

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See detailA Mathematical Model of Rinderpest Infection in Cattle Populations
Tille, A.; Lefèvre, Claude; Pastoret, Paul-Pierre ULg et al

in Epidemiology & Infection (1991), 107(2), 441-52

A mathematical model for the epidemiology of rinderpest was developed, starting from a simplified descriptive analysis of the disease. A formula for the calculation of the probability of infection of a ... [more ▼]

A mathematical model for the epidemiology of rinderpest was developed, starting from a simplified descriptive analysis of the disease. A formula for the calculation of the probability of infection of a susceptible animal was first established. A deterministic failure threshold of the infection was then deduced. Deterministic and stochastic approaches were adopted using iterative methods on a computer. These allowed a description of the spread and the variability of an infection process in a population to be made. An illustration of the use of this model showed that, in some cases, variability effects due to stochastic factors were very important. In these particular conditions, the use of the deterministic model alone was not adequate for a good description of the infection. Consequently, improvements of the model were proposed in order to make it more realistic and to allow its use for the evaluation of the efficiency of field operations. [less ▲]

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See detailMathematical model of the acute inflammatory response to Escherichia coli in intramammary challenge
Detilleux, Johann ULg; Vangroenweghe, F.; Burvenich, C.

in Journal of Dairy Science (2006), 89(9), 3455-3465

We constructed a mathematical model of the early response to Escherichia coli infection of the mammary gland and explored the roles and interactions between inflammatory cells and bacteria. The model ... [more ▼]

We constructed a mathematical model of the early response to Escherichia coli infection of the mammary gland and explored the roles and interactions between inflammatory cells and bacteria. The model incorporates 3 equations that describe the interactions among bacteria, milk somatic cells, and blood leukocyte densities. These 3 equations were fitted to cell densities observed during acute inflammatory responses in unvaccinated and vaccinated heifers inoculated with 10(4) or 10(6) cfu of E. coli. The rates computed for the cellular transit from the storage sites to the blood and from the blood to the milk were lower in cows receiving 10(4) cfu but increased at approximately 6 x 10(-6) and 30 x 10(-6) microL/cfu per h in nonvaccinated or vaccinated cows inoculated with 10(6) cfu, respectively. The cellular rates of bacterial killing were highest in unvaccinated cows ( approximately 400 x 10(-6) microL/cell per h) when compared with vaccinated cows (200 to 300 x 10(-6) microL/cell per h). A critical density of milk somatic cells at which bacteria density is constant was computed from the model at 2 x 10(6) cells/mL, and a one-way sensitivity analysis revealed that the changes in milk cellular densities were mostly sensitive to variations in the rate of bacterial killing and in the rate of production of inflammatory cells. [less ▲]

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See detailMathematical model of the mitral valve and the cardiovascular system, application for studying, monitoring and in the diagnosis of valvular pathologies
Paeme, Sabine ULg; Moorhead, Katherine ULg; Chase, J. Geoffrey et al

in UKACC international Conference on Control 2010 : Coventry, 7-10 september 2010 (2010, September 07)

A cardiovascular and circulatory system (CVS) model has been validated in silico, and in several animal model studies. It accounts for valve dynamics using Heaviside functions to simulate a physiological ... [more ▼]

A cardiovascular and circulatory system (CVS) model has been validated in silico, and in several animal model studies. It accounts for valve dynamics using Heaviside functions to simulate a physiological accurate “open on pressure, close on flow” law. Thus, it does not consider the real time scale of the valve aperture dynamics and thus doesn’t fully capture valve dysfunction particularly where the dysfunction involves partial closure. This research describes a new closed-loop CVS model including a model describing the progressive aperture of the mitral valve and valid over the full cardiac cycle. This new model is solved for a healthy and diseased mitral valve. [less ▲]

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See detailMathematical model of the Northern Bering Sea.
Nihoul, Jacques ULg; Deleersnijder, Eric; Djenidi, Salim ULg

Book published by IRMA ed. (1990)

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See detailA mathematical model of the role of oxygen during normal and delayed fracture repair
Carlier, Aurélie ULg; Van Gastel, Nick; Carmeliet, Geert et al

Conference (2013, October 24)

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See detailMathematical model of the Western Scheldt Estuary
Djenidi, Salim ULg; Ronday, François ULg

in Proceedings of the IUGG General Assembly 1983 (1983)

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