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See detailAssessing dynamical correlations between functional and structural brain connectivity
Liegeois, Raphaël ULg; Ziegler, Erik; Phillips, Christophe ULg et al

Poster (2014)

The link between resting­‐state functional connectivity (FC), measured by the correlations of the fMRI BOLD time courses, and structural connectivity (SC) has been repeatedly investigated recently ... [more ▼]

The link between resting­‐state functional connectivity (FC), measured by the correlations of the fMRI BOLD time courses, and structural connectivity (SC) has been repeatedly investigated recently. Meanwhile, the importance of considering the dynamics of neuronal processes has also been highlighted. In this work we show how the classical static (i.e. considered as constant) relationship between SC and FC could be enriched when the FC dynamics are taken into account. We use a sliding window approach to explore these dynamics and show that the window width should be chosen in a particular range in order to unveil statistically significant (i.e. not due to noise) fluctuations of the FC-­‐SC correlation. [less ▲]

Detailed reference viewed: 34 (13 ULg)
See detailAssessing ecosystem changes in the North Western shelf of the Black Sea using 3D coupled models
Capet, Arthur ULg; Beckers, Jean-Marie ULg; Joassin, Pascal et al

Conference (2009, November 11)

Detailed reference viewed: 8 (0 ULg)
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See detailAssessing electrical resistivity tomography for hydrofacies detection using a sensitivity dependent probabilistic methodology
Hermans, Thomas ULg; Irving, James

in EarthDoc - Near Surface Geosciences 2015 (2015, September 08)

Alluvial aquifers are generally composed of several facies with complex architectures and interconnections depending on the fluvial system. In this context, electrical resistivity tomography (ERT) may ... [more ▼]

Alluvial aquifers are generally composed of several facies with complex architectures and interconnections depending on the fluvial system. In this context, electrical resistivity tomography (ERT) may provide important information on the spatial distribution of hydrogeological parameters. However, ERT inversion introduces some bias in the resulting resistivity distribution due to regularization and resolution issues. In this study, we refine ERT inversions by incorporating prior information in order to improve the identification of facies through a probabilistic relationship derived from collocated measurements. We then analyze with synthetic cases the effect of spatially varying sensitivity on the probabilistic relationship. As expected, when sensitivity decreases, the distributions of resistivity for the different facies tend to be superimposed. A mean distribution thus overestimates the ability of surface ERT to discriminate hydrofacies in depth. [less ▲]

Detailed reference viewed: 72 (16 ULg)
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See detailAssessing Emigrant Participation in Home Country Elections: The Case of Mexico’s 2006 Presidential Election
Lafleur, Jean-Michel ULg; Calderon Chelius, Leticia

in International Migration (2011), 49(3), 99-124

How did Mexican migrants react to the opportunity to formally participate for the first time in home country politics during the 2006 Presidential Election? In this paper, we attempt to explain the low ... [more ▼]

How did Mexican migrants react to the opportunity to formally participate for the first time in home country politics during the 2006 Presidential Election? In this paper, we attempt to explain the low level of migrant voter registration in home country elections. Grounding ourselves on the existing literature on voter turnout, we verify two hypotheses that focus (1) on the role of Mexican authorities, and (2) on the interest of migrants and migrant associations in home country politics. Building on the case of Mexico, the paper concludes with proposing a series of variables upon which we suggest research could focus in order to assess migrant voter turnout in home country elections. [less ▲]

Detailed reference viewed: 74 (13 ULg)
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See detailAssessing employees propensity to engage in OCB: incremental validity of SJT beyond personality.
Lothe, Benoit ULg; Hansez, Isabelle ULg; Scius, Anthony et al

Conference (2015, May 21)

This study presents the validation results of a SJT developed in collaboration with a Belgian french speaking mutual insurance company for the assessment of employees OCB. The purpose is to provide ... [more ▼]

This study presents the validation results of a SJT developed in collaboration with a Belgian french speaking mutual insurance company for the assessment of employees OCB. The purpose is to provide empirical evidence concerning the validity of using the SJT by examining the issues of OCB criterion validity, incremental validity beyond a personality inventory, applicant perception and SJT transparency level. The SJT was developed in-house and following relevant literature recommendations (Weekley, Ployhart & Holtz, 2006). Data were collected on 117 white-collar employees. Three other measurements were concurrently collected: OCB using Williams & Anderson (1991) self-reported scales, personality using the Gosling, Rentfrow & Swann (2003) ten item inventory (TIPI) and applicant perception using SPJS (Bauer, & al., 2001). An open-ended question was used to access the extent to which applicants are able to identify the SJT criteria. Results indicated that the SJT is a relevant predictor of OCB (r = .42; p<.001). The SJT also provides incremental explanation of the OCB criteria beyond the personality inventory (∆R² = .11; p<.001). There was in average an agreement about the acceptability of the SJT in terms of perceived procedural justice. No relationships were found between applicant ability to correctly identify the SJT criteria and SJT score or OCB self-rating. This study is to our knowledge among the first attempt to develop and validate a tool to fill the gap on how to predict employees OCB (Organ, Podsakoff & Podsakoff, 2010). Implications for the personnel selection and current limitations will be discussed. [less ▲]

Detailed reference viewed: 91 (1 ULg)
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See detailAssessing fitness in endurance horses
Fraipont, Audrey ULg; Van Erck, Emmanuelle; Ramery, Eve ULg et al

in Canadian Veterinary Journal = Revue Vétérinaire Canadienne (2012), 53

A field test and a standardized treadmill test were used to assess fitness in endurance horses. These tests discriminated horses of different race levels: horses participating in races of 120km and more ... [more ▼]

A field test and a standardized treadmill test were used to assess fitness in endurance horses. These tests discriminated horses of different race levels: horses participating in races of 120km and more showed higher values of VLA4 (velocity at which blood lactate reached 4 mmol/L) and V200 (velocities at which heart rates reached 200 beats per min) than horses of lower race levels. [less ▲]

Detailed reference viewed: 73 (20 ULg)
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See detailAssessing gaps and needs for integrating building performance optimization tools in net zero energy buildings design
Attia, Shady ULg; Hamdy, Mohamed; O’Brien, William et al

in Energy and Buildings (2013), 60

This paper summarizes a study undertaken to reveal potential challenges and opportunities for integrating optimization tools in net zero energy buildings (NZEB) design. The paper reviews current trends in ... [more ▼]

This paper summarizes a study undertaken to reveal potential challenges and opportunities for integrating optimization tools in net zero energy buildings (NZEB) design. The paper reviews current trends in simulation-based building performance optimization (BPO) and outlines major criteria for optimization tools selection and evaluation. This is based on analyzing user's needs for tools capabilities and requirement specifications. The review is carried out by means of a literature review of 165 publications and interviews with 28 optimization experts. The findings are based on an inter-group comparison between experts. The aim is to assess the gaps and needs for integrating BPO tools in NZEB design. The findings indicate a breakthrough in using evolutionary algorithms in solving highly constrained envelope, HVAC and renewable optimization problems. Simple genetic algorithm solved many design and operation problems and allowed measuring the improvement in the optimality of a solution against a base case. Evolutionary algorithms are also easily adapted to enable them to solve a particular optimization problem more effectively. However, existing limitations including model uncertainty, computation time, difficulty of use and steep learning curve. Some future directions anticipated or needed for improvement of current tools are presented. [less ▲]

Detailed reference viewed: 68 (7 ULg)
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See detailAssessing groundwater-surface water interaction and groundwater discharge in a contaminated site in an industrial, sub-urbanized area
Batlle-Aguilar, Jordi; Brouyère, Serge ULg

in Davis, G. B.; Johntson, C. D.; Trefry, M. G. (Eds.) Groundwater Quality 2007 Securing Groundwater Quality in Urban and Industrial Environments (2007)

Detailed reference viewed: 16 (5 ULg)
See detailAssessing heat stress effects on production traits of Holsteins in a temperate region
Hammami, Hedi ULg; Bormann, Jeanne; Gengler, Nicolas ULg

in Book of abstracts of the 63rd Annual Meeting of the European Association for Animal Production (2012)

Heat stress impaired productive, reproductive and animal behaviour. Examination of milk production loss due to heat stress was mainly evaluated in USA and few tropical countries using the temperature ... [more ▼]

Heat stress impaired productive, reproductive and animal behaviour. Examination of milk production loss due to heat stress was mainly evaluated in USA and few tropical countries using the temperature humidity index (THI1) developed in the 1950’s. The main objective of this study was to evaluate the effects of six new environmental stress indices on production traits in a temperate region. These indices include solar radiation and wind speed in addition to the temperature and humidity only defining THI1. For that purpose, 530820 milk, fat, protein, and somatic cell count first-lactation test-day records (TD) collected between 2000 and 2011 in Luxembourg were used. TD records were merged with meteorological data from 14 public weather stations. Each TD was assigned to the average daily thermal index of the 3 days before. Firstly, broken-line regression models were applied to identify the threshold of heat stress (THR) for each of the thermal indices. The decline of daily production of the different traits above THR point was assessed by mixed linear models including regression on unit of each of the thermal index. Estimates of THR were specific to each thermal index and trait. Significant decrease of milk, fat and protein yields above THR was observed for all studied thermal predictors. Whereas, an increase of the somatic cell score was observed above the specific THR point. THR estimates for THI1 and THI6 were of 68 and 80 and 62 and 78 for milk and protein yields respectively. Respective rate of decline per unit were of 0.243 and 0.188 kg and 0.0045 and 0.0051 kg respectively. Results from this phenotypic analysis show that evaluating heat tolerance based on bio-meteorological indicators is promising and phenotypic and genetic implications should be investigated. [less ▲]

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See detailAssessing heat tracing experiment data sets for direct forecast of temperature evolution in subsurface models: an example of well and geophysical monitoring data
Hermans, Thomas ULg; Oware, Erasmus; Klepikova, Maria et al

Scientific conference (2016, May 04)

Hydrogeological inverse modeling is used for integrating data and calibrating subsurface model parameters. On one hand, deterministic approaches are relatively fast but fail to catch the uncertainty ... [more ▼]

Hydrogeological inverse modeling is used for integrating data and calibrating subsurface model parameters. On one hand, deterministic approaches are relatively fast but fail to catch the uncertainty related to the spatial distribution of model parameters. On the other hand, stochastic inverse modeling is time-consuming and sampling the full high-dimensional parameter space is generally impossible. Even then, the end result is not the inverted model itself, but the forecast built from such models. In this study, we investigate a prediction-focused approach (PFA) in order to derive a direct statistical relationship between data and forecast without explicitly calibrating any models to the data. To derive this relationship, we first sample a limited number of models from the prior distribution using geostatistical methods. For each model, we then apply two forward simulations: the first corresponds to the forward model of the data (past), the second corresponds to the forward model of the forecast (future). The relationship between observed data and forecast is generally highly non-linear, depending on the complexity of the prior distribution and the differences in the two forward operators. In order to derive a useful relationship, we first reduce the dimension of the data and the forecast through principal component analysis (PCA) related techniques in order to keep the most informative part of both sets. Then, we apply canonical correlation analysis (CCA) to establish a linear relationship between data and forecast in the reduced space components. If such a relationship exists, it is possible to directly sample the posterior distribution of the forecast with a multi-Gaussian framework. In this study, we apply this methodology to forecast the evolution with time of the distribution of temperature in a control panel in an alluvial aquifer. We simulate a heat tracing experiment monitored with both well logging probes and electrical resistivity tomography. We show (1) that the proposed method can be used to quantify the uncertainty on the forecast both spatially and temporally and (2) that spatially-distributed data acquired through geophysical methods help to significantly reduce the uncertainty of the posterior. [less ▲]

Detailed reference viewed: 42 (5 ULg)
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See detailAssessing heat tracing experiment data sets for direct forecast of temperature evolution in subsurface models: an example of well and geophysical monitoring data
Hermans, Thomas ULg; Klepikova, Maria; Caers, Jef

Conference (2016, April 21)

Hydrogeological inverse modeling is used for integrating data and calibrating subsurface model parameters. On one hand, deterministic approaches are relatively fast but fail to catch the uncertainty ... [more ▼]

Hydrogeological inverse modeling is used for integrating data and calibrating subsurface model parameters. On one hand, deterministic approaches are relatively fast but fail to catch the uncertainty related to the spatial distribution of model parameters. On the other hand, stochastic inverse modeling is time-consuming and sampling the full high-dimensional parameter space is generally impossible. Even then, the end result is not the inverted model itself, but the forecast built from such models. In this study, we investigate a prediction-focused approach (PFA) in order to derive a direct statistical relationship between data and forecast without explicitly calibrating any models to the data. To derive this relationship, we first sample a limited number of models from the prior distribution using geostatistical methods. For each model, we then apply two forward simulations: the first corresponds to the forward model of the data (past), the second corresponds to the forward model of the forecast (future). The relationship between observed data and forecast is generally highly non-linear, depending on the complexity of the prior distribution and the differences in the two forward operators. In order to derive a useful relationship, we first reduce the dimension of the data and the forecast through principal component analysis (PCA) related techniques in order to keep the most informative part of both sets. Then, we apply canonical correlation analysis (CCA) to establish a linear relationship between data and forecast in the reduced space components. If such a relationship exists, it is possible to directly sample the posterior distribution of the forecast with a multi-Gaussian framework. In this study, we apply this methodology to forecast the evolution with time of the distribution of temperature in a control panel in an alluvial aquifer. We simulate a heat tracing experiment monitored with both well logging probes and electrical resistivity tomography. We show (1) that the proposed method can be used to quantify the uncertainty on the forecast both spatially and temporally and (2) that spatially-distributed data acquired through geophysical methods help to significantly reduce the uncertainty of the posterior. [less ▲]

Detailed reference viewed: 48 (5 ULg)
See detailAssessing IT Innovations in US State Governments: a research framework
Markus, M. Lynne; Bui, Quang Neo; Jacobson, Dax D. et al

Poster (2011, August)

Detailed reference viewed: 41 (10 ULg)
Peer Reviewed
See detailAssessing kidney function
DELANAYE, Pierre ULg; Rule, AD

in Kimmel, PL; Rosenberg, ME (Eds.) Chronic Renal Disease (2014)

Detailed reference viewed: 5 (2 ULg)
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See detailAssessing local Ca2+ concentrations in calcium phosphate scaffolds by computational modelling
Manhas, Varun ULg; Guyot, Yann ULg; Chai, Yoke Chin et al

Poster (2013, October 24)

Detailed reference viewed: 28 (6 ULg)
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See detailAssessing overall heating efficiency of office buildings
Parys, Wout; Bertagnolio, Stéphane ULg; Saelens, Dirk et al

in Lemort, Vincent; Andre, Philippe; Bertagnolio, Stéphane (Eds.) 8th Conference on System Simulation in Buildings (2010, December 13)

The current methodology applied to estimate system efficiencies oversimplifies the complex interaction between the building, the occupants and the system. By detailed modelling of the building and the ... [more ▼]

The current methodology applied to estimate system efficiencies oversimplifies the complex interaction between the building, the occupants and the system. By detailed modelling of the building and the system, it is possible to define system efficiencies at the building level as a function of the system type and the building characteristics. In this study, the performance of a simple heating system in a middle-sized office building is simulated. The monthly average total efficiency, defined at the building level, proves to be very well correlated with the monthly ratio of heat gains over heat losses of the building. At ratios over 0.6, the efficiency falls sharply. This is mainly due to declining control efficiency. This secondary effect can annul partly the targeted increase in energy efficiency of well insulated and airtight buildings. [less ▲]

Detailed reference viewed: 48 (7 ULg)
See detailAssessing Pain and Communication in Disorders of Consciousness
Chatelle, Camille ULg; LAUREYS, Steven ULg

Book published by Psychology Press (2015)

Detailed reference viewed: 17 (1 ULg)