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See detailEarly colonization on Artificial Seagrass Units and on Posidonia oceanica (L.) Delile leaves
Pete, Dorothée ULg; Lepoint, Gilles ULg; Bouquegneau, Jean-Marie ULg et al

in Belgian Journal of Zoology (2015), 145(1), 59-68

Many epiphytes grow on Posidonia oceanica (L.) Delile leaves but early stages of that colonization are not well known. To study this early colonization without destroying the plant, Artificial Seagrass ... [more ▼]

Many epiphytes grow on Posidonia oceanica (L.) Delile leaves but early stages of that colonization are not well known. To study this early colonization without destroying the plant, Artificial Seagrass Units (ASUs) were utilised. The first nine days of colonization by macroscopic eukaryotic organisms on natural P. oceanica leaves and on ASUs were studied. The capability of those ASUs to mimic P. oceanica in the long term was also evaluated. Indeed, early colonists of a substrate can influence the settling of later ones by “priority effects”. Thus if the pioneer community is the same on both substrates, they will more likely be the same after a longer exposure time. On both substrates, colonization began by the settling of crustose-calcareous algae and foraminiferans. The number of organisms increased more quickly on ASUs than on natural leaves but Shannon-Wiener diversity index was higher for P. oceanica leaves. The low colonization rate on natural leaves may have been due to different microclimatic conditions on the two substrates and to a less developed biofilm than on ASUs. The high diversity observed on natural leaves was mainly related to the presence of bryozoan ancestrulae, which were absent on ASUs. Different microhabitats on each substrate (different algae morphotypes) can explain this difference. Thus, at such an early colonization stage, pioneer communities were different on the two substrates, suggesting that later communities would be different too. However, ASUs could be used in environmental perturbation studies instead of natural leaves, thanks to their high colonization rate. [less ▲]

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See detailEarly contribution of phonological awareness and later influence of phonological memory throughout reading acquisition
Nithart, C.; Demont, E.; Majerus, Steve ULg et al

in Journal of Research in Reading (2011), 34

Detailed reference viewed: 73 (11 ULg)
See detailAn Early Cretaceous ichthyosaur from SE France: implications on the evolution of post-Liassic Ichthyosauria
Fischer, Valentin ULg; Clément, Arnaud; Guiomar, Myette et al

Conference (2010, June)

A complete ichthyosaur rostrum with 124 associated teeth was recently discovered in Laux-Montaux locality, department of Drôme, southeastern France. The associated belemnites and ammonites indicate a late ... [more ▼]

A complete ichthyosaur rostrum with 124 associated teeth was recently discovered in Laux-Montaux locality, department of Drôme, southeastern France. The associated belemnites and ammonites indicate a late Valanginian age (Neocomites peregrinus Zone, Olcostephanus nicklesi Subzone) for this fossil, which consequently represents the first diagnostic ichthyosaur ever reported from Valanginian strata. Despite its incompleteness, this specimen is perfectly consistent with Aegirosaurus leptospondylus WAGNER 1853 and is therefore referred to this rare taxon. This specimen thus greatly increases the temporal and geographic biozones of this taxon, which was previously restricted to the Tithonian (Upper Jurassic) lithographic limestones of Bavaria (southern Germany). Moreover, it indicates that Late Jurassic ichthyosaurs actually crossed the Jurassic-Cretaceous boundary with a much lighter diversity drop than previously supposed. Finally, tooth morphology and wear pattern suggest that Aegirosaurus belonged to the “Pierce II/ Generalist” feeding guild sensu Massare (1987; 1997), which was hitherto not represented in post-Liassic ichthyosaurs. [less ▲]

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See detailEarly decision support for net zero energy buildings design using building performance simulation
Attia, Shady ULg; Gratia, Elisabeth; De Herde, Andre et al

in Clean Technology for Smart Cities and Buildings (2013, September)

This paper aims to investigate the use of building performance simulation tools as a method of informing the design decision of NZEBs. The aim of this study is to evaluate the effect of a simulation-based ... [more ▼]

This paper aims to investigate the use of building performance simulation tools as a method of informing the design decision of NZEBs. The aim of this study is to evaluate the effect of a simulation-based decision aid, ZEBO, on informed decision-making using sensitivity analysis. The objective is to assess the effect of ZEBO and other BPS tools on three specific outcomes: (i) knowledge and satisfaction when using simulation for NZEB design; (ii) users’ decision-making attitudes and patterns, and (iii) performance robustness based on an energy analysis. The paper utilizes three design case studies comprising a framework to test the use of BPS tools. Two types of data were collected, mainly preference and performance data. The preference data were used to collect information from participants using self-reported metrics. The performance data were used to collect information on the energy performance of the final design. The energy evaluations were compared with the results of a quantitative assessment of the overall design performance. Finally the results were compared and presented. The paper provides results that shed light on the effectiveness of sensitivity analysis as an approach for informing the design decisions of NZEBs. [less ▲]

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See detailEarly decrease of serum biomarkers of type II collagen degradation (Coll2-1) and joint inflammation (Coll2-1 NO(2) ) by hyaluronic acid intra-articular injections in patients with knee osteoarthritis: a research study part of the Biovisco study.
Henrotin, Yves ULg; Chevalier, X.; DEBERG, Michelle ULg et al

in Journal of orthopaedic research : official publication of the Orthopaedic Research Society (2013), 31(6), 901-7

To measure the evolution of the serum levels of specific Osteoarthritis (OA) biomarker, Coll2-1 and Coll2-1 NO(2) in knee osteoarthritic patients after viscosupplementation (VS). Fifty-one patients with ... [more ▼]

To measure the evolution of the serum levels of specific Osteoarthritis (OA) biomarker, Coll2-1 and Coll2-1 NO(2) in knee osteoarthritic patients after viscosupplementation (VS). Fifty-one patients with unilateral symptomatic knee were recruited for this prospective open label study. They received three intra-articular injections of 2 ml of hyaluronic acid (Hylan GF-20) and were followed for 3 months. Walking pain was evaluated and serum samples were taken at each visit. Coll2-1 and Coll2-1 NO(2) were measured in the serum using specific immunoassays. Variations over time of each parameter and predictive factor of response were studied. Forty-five patients were analyzed. The serum concentrations of Coll2-1 and Coll2-1 NO(2) were significantly higher in KL III/IV patients compared to KL I/II patients at baseline and decreased systematically over time after VS. Its effect was ever more pronounced in patients with KL III/IV. The serum concentration of Coll2-1 was significantly lower at baseline in responders than in non-responders. This study suggests a rapid slowdown of type II collagen degradation and joint inflammation after VS with Hylan G-20 and gives additional information for the validation of accurate biomarkers for OA. The serum level of Coll2-1 appeared to be a predictive factor for response to treatment. [less ▲]

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See detailEarly deprivation as a risk factor for narcissistic identity pathologies in adolescence with regard to international adoption.
Vandepoel, Danielle; Roskam, Isabelle; Passone, Sesto et al

in Neuropsychiatrie de l'Enfance et de l'Adolescence (2014), 62

The current study is a psychoanalytic reading of the clinical material arising from ongoing developmental research into international adoptionwithin the framework of the Attachment Adoption Research ... [more ▼]

The current study is a psychoanalytic reading of the clinical material arising from ongoing developmental research into international adoptionwithin the framework of the Attachment Adoption Research Network (AAARN). The primary objective of the study is to verify whether the severityof deprivation experienced preadoption is a risk factor for narcissistic identity pathologies in adolescence with regard to international adoption.A grounded theory approach is used to identify a set of qualitative variables, which are later quantitatively assessed. The findings are discussedin terms of both qualitative and quantitative results and suggest the greater presence of chronic somatic troubles and observable signs of rimarytrauma in the adoption population compared to the control group. Future areas for research are suggested in the conclusion. [less ▲]

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See detailEarly design simulation tools for net zero energy buildings: a comparison of ten tools
Attia, Shady ULg; De Herde, André

in Conference Proceedings of 12th International Building Performance Simulation Association, 2011 (2011, November)

Given the challenges to design Net Zero Energy Buildings (NZEBs), the use of Building Performance Simulation (BPS) tools during early design phases has been indispensable. In this context, we compare ten ... [more ▼]

Given the challenges to design Net Zero Energy Buildings (NZEBs), the use of Building Performance Simulation (BPS) tools during early design phases has been indispensable. In this context, we compare ten early design BPS tools. The aim is to define the potential of using and integrating the tools by architect during the design of NZEBs. The examined tools include HEED, e-Quest, ENERGY-10, Vasari, Solar Shoebox, Open Studio Plug-in, IES-VE- Ware, DesignBuilder, ECOTECT and BEopt. The comparison is based on two different criteria sets. The results describe tools limitations and major requirements to meet the NZEBs objective implications. [less ▲]

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See detailEarly detection of abnormal left ventricular relaxation in acute myocardial ischemia with a quadratic model.
MORIMONT, Philippe ULg; Pironet, Antoine ULg; Desaive, Thomas ULg et al

in Medical engineering & physics (2014)

AIMS: The time constant of left ventricular (LV) relaxation derived from a monoexponential model is widely used as an index of LV relaxation rate, although this model does not reflect the non-uniformity ... [more ▼]

AIMS: The time constant of left ventricular (LV) relaxation derived from a monoexponential model is widely used as an index of LV relaxation rate, although this model does not reflect the non-uniformity of ventricular relaxation. This study investigates whether the relaxation curve can be better fitted with a "quadratic" model than with the "conventional" monoexponential model and if changes in the LV relaxation waveform due to acute myocardial ischemia could be better detected with the quadratic model. METHODS AND RESULTS: Isovolumic relaxation was assessed with quadratic and conventional models during acute myocardial ischemia performed in 6 anesthetized pigs. Mathematical development indicates that one parameter (Tq) of the quadratic model reflects the rate of LV relaxation, while the second parameter (K) modifies the shape of the relaxation curve. Analysis of experimental data obtained in anesthetized pigs showed that the shape of LV relaxation consistently deviates from the conventional monoexponential decay. During the early phase of acute myocardial ischemia, the rate and non-uniformity of LV relaxation, assessed with the quadratic function, were significantly enhanced. Tq increased by 16% (p<0.001) and K increased by 12% (p<0.001) within 30 and 60min, respectively, after left anterior descending (LAD) coronary artery occlusion. However, no significant changes were observed with the conventional monoexponential decay within 60min of ischemia. CONCLUSIONS: The quadratic model better fits LV isovolumic relaxation than the monoexponential model and can detect early changes in relaxation due to acute myocardial ischemia that are not detectable with conventional methods. [less ▲]

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See detailEarly detection of alien plants in xeric Natura 2000 sites in Southern Belgium
Monty, Arnaud ULg; Frisson, Gwenn; Mahy, Grégory ULg

Poster (2012)

The Natura 2000 network consists of sites designated by the member States of the European Union, under the Habitats and Birds Directives. Setting up that network is one of the biggest challenge in nature ... [more ▼]

The Natura 2000 network consists of sites designated by the member States of the European Union, under the Habitats and Birds Directives. Setting up that network is one of the biggest challenge in nature conservation in Europe, since habitats and species for which Natura 2000 sites are designated must be maintained in a “favorable conservation status”. Little is known so far, however, about how Natura 2000 sites are invaded by exotics species. Xeric habitats of high biological value included in the Natura 2000 network are among the most species-rich in Southern Belgium. They include calcareous grasslands, sandy meadows, dry heathlands, boxwood stands, siliceous rocks and calcareous rocks. We randomly sampled 15% of sites in each of these six categories (with a minimum of five sites per category) , with a total of 86 sites out of 470 existing sites. In each site, we recorded the presence/absence of 63 alien plants know to develop in xeric habitats (species list based on Verloove (2006) and expert’s personnal observations.), and estimated species cover. 25 naturalized alien plant species were observed in xeric habitats of the Natura 2000 network in Southern Belgium. Generally, alien species populations were still limited. [less ▲]

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See detailEarly detection of relapse by whole-body positron emission tomography in the follow-up of patients with Hodgkin's disease.
Jerusalem, Guy ULg; Beguin, Yves ULg; Fassotte, Marie-France ULg et al

in Annals of Oncology (2003), 14(1), 123-30

BACKGROUND: Relapse after treatment of Hodgkin's disease (HD) is usually identified as a result of the investigation of symptoms. We undertook this study to examine the value of whole-body positron ... [more ▼]

BACKGROUND: Relapse after treatment of Hodgkin's disease (HD) is usually identified as a result of the investigation of symptoms. We undertook this study to examine the value of whole-body positron emission tomography (PET) for the detection of preclinical relapse. PATIENTS AND METHODS: Thirty-six patients underwent 2-[fluorine-18]fluoro-2-deoxy-D-glucose ((18)F-FDG) PET at the end of treatment and than every 4-6 months for 2-3 years after the end of polychemotherapy and/or radiotherapy. In those cases of abnormal (18)F-FDG accumulation a confirmatory study was performed 4-6 weeks later. RESULTS: One patient had residual tumor and four patients relapsed during a follow-up of 5-24 months. All five events were correctly identified early by (18)F-FDG PET. Residual tumor or relapse was never first diagnosed based on clinical examination, laboratory findings or computed tomography (CT) studies. Two patients presented B symptoms and the three others were asymptomatic at the time of residual disease or relapse. Confirmation of residual disease or relapse was obtained by biopsy in four patients 1, 1, 5 and 9 months after PET and by unequivocal clinical symptoms and CT studies in one patient 3 months after PET. False-positive (18)F-FDG PET studies incorrectly suggested possible relapse in six other patients, but the confirmatory PET was always negative. Our study also provides important information about physiological (18)F-FDG uptake in the thymus. CONCLUSIONS: Our data suggest the potential of (18)F-FDG PET to detect preclinical relapse in patients with HD. This could help identify patients requiring salvage chemotherapy at the time of minimal disease rather than at the time of clinically overt relapse. Further studies are warranted to determine the impact of PET on treatment management and outcome. In fact, the aim of follow-up procedures is not only to detect preclinical relapse but mainly to obtain better results by starting salvage treatment earlier. A cost-benefit analysis will also be necessary before (18)F-FDG PET can be used routinely in the follow-up of patients with HD. [less ▲]

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See detailEarly Detection of University Students in Potential Difficulty
Hoffait, Anne-Sophie ULg; Schyns, Michael ULg

E-print/Working paper (2016)

Using data mining methods, this paper presents a new means of identifying freshmen's profiles likely to face major difficulties to complete their first academic year. Academic failure is a relevant issue ... [more ▼]

Using data mining methods, this paper presents a new means of identifying freshmen's profiles likely to face major difficulties to complete their first academic year. Academic failure is a relevant issue at a time when post-secondary education is ever more critical to economic success. We aim at early detection of potential failure using student data available at registration, i.e. school records and environmental factors, with a view to timely and efficient remediation and/or study reorientation. For the sake of accuracy, we adapt three data mining methods, namely random forest, logistic regression and artificial neural network algorithms. Real data pertaining to undergraduates at the University of Liège (Belgium), illustrates our methodology. [less ▲]

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See detailEarly detection of university students in potential difficulty
Hoffait, Anne-Sophie ULg; Schyns, Michael ULg

Conference (2014, January)

Rate of success in the first year at University in Belgium is very low regarding other foreign universities. The University of Liege, as other Universities, has already taken different initiatives. But by ... [more ▼]

Rate of success in the first year at University in Belgium is very low regarding other foreign universities. The University of Liege, as other Universities, has already taken different initiatives. But by early identifying students who have a high probability to face difficulties if nothing is done, the Universities might develop adapted methods to attack the problem with more emphasis where it is more needed and when it is still possible. Thus we want to develop a decision tool able to identify these students to help them. For that, we consider three standard datamining methods: logistic regression, artificial neural networks and decision trees and focus on early detection, i.e. before starting at the University. Then, we suggest to adapt these three methods as well as the classification framework in order to increase the probability of correct identification of the students. In our approach, we do not restrict the classification to two extreme classes, e.g. failure or success, but we create subcategories for different levels of confidence: high risk of failure, risk of failure, expected success or high probability of success. The algorithms are modified accordingly and to give more weight to the class that really matters. Note that this approach remains valid for any other classification problems for which the focus is on some extreme classes; e.g. fraud detection, credit default... We check if the factors of success/failure we can identify are similar to those reported in the literature. We also make a ``what-if sensitivity analysis''. The goal is to measure in more depth the impact of some factors and the impact of some solutions, e.g., a complementary training or a reorientation. [less ▲]

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See detailEarly detection of university students in potential difficulty
Hoffait, Anne-Sophie ULg; Schyns, Michael ULg

Conference (2015, February)

Rate of success in the first year at University in Belgium is very low regarding other foreign universities. The University of Liege, as other Universities, has already taken different initiatives. But by ... [more ▼]

Rate of success in the first year at University in Belgium is very low regarding other foreign universities. The University of Liege, as other Universities, has already taken different initiatives. But by early identifying students who have a high probability to face difficulties if nothing is done, the Universities might develop adapted methods to attack the problem with more emphasis where it is more needed and when it is still possible. Thus we want to develop a decision tool able to identify these students to help them. For that, we consider three standard datamining methods: logistic regression, artificial neural networks and decision trees and focus on early detection, i.e. before starting at the University. Then, we suggest to adapt these three methods as well as the classification framework in order to increase the probability of correct identification of the students. In our approach, we do not restrict the classification to two extreme classes, e.g. failure or success, but we create subcategories for different levels of confidence: high risk of failure, risk of failure, expected success or high probability of success. The algorithms are modified accordingly and to give more weight to the class that really matters. Note that this approach remains valid for any other classification problems for which the focus is on some extreme classes; e.g. fraud detection, credit default... Finally, simulations are conducted to measure the performances of the three methods, with and without the suggested adaptation. We check if the factors of success/failure we can identify are similar to those reported in the literature. We also make a ``what-if sensitivity analysis''. The goal is to measure in more depth the impact of some factors and the impact of some solutions, e.g., a complementary training or a reorientation. [less ▲]

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See detailEarly detection of university students in potential difficulty : a case study
Hoffait, Anne-Sophie ULg; Schyns, Michael ULg

Conference (2014, November)

Rate of success in the first year at University in Belgium is very low regarding other foreign universities. The University of Liege, as other Universities, has already taken different initiatives. But by ... [more ▼]

Rate of success in the first year at University in Belgium is very low regarding other foreign universities. The University of Liege, as other Universities, has already taken different initiatives. But by early identifying students who have a high probability to face difficulties if nothing is done, the Universities might develop adapted methods to attack the problem with more emphasis where it is more needed and when it is still possible. Thus we want to develop a decision tool able to identify these students to help them. For that, we consider three standard datamining methods: logistic regression, artificial neural networks and decision trees and focus on early detection, i.e. before starting at the University. Then, we suggest to adapt these three methods as well as the classification framework in order to increase the probability of correct identification of the students. In our approach, we do not restrict the classification to two extreme classes, e.g. failure or success, but we create subcategories for different levels of confidence: high risk of failure, risk of failure, expected success or high probability of success. The algorithms are modified accordingly and to give more weight to the class that really matters. Note that this approach remains valid for any other classification problems for which the focus is on some extreme classes; e.g. fraud detection, credit default... Finally, simulations are conducted to measure the performances of the three methods, with and without the suggested adaptation. We check if the factors of success/failure we can identify are similar to those reported in the literature. We also make a ``what-if sensitivity analysis''. The goal is to measure in more depth the impact of some factors and the impact of some solutions, e.g., a complementary training or a reorientation. [less ▲]

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See detailEarly development of stricturing or penetrating pattern in Crohn's disease is influenced by disease location, number of flares, and smoking but not by NOD2/CARD15 genotype
Louis, Edouard ULg; Michel, V.; Hugot, J. P. et al

in Gut (2003), 52(4), 552-557

Background: Crohn's disease is a heterogeneous entity. Disease behaviour, characterised as structuring, penetrating, or non-stricturing non-penetrating, is a clinically important phenotype as it is ... [more ▼]

Background: Crohn's disease is a heterogeneous entity. Disease behaviour, characterised as structuring, penetrating, or non-stricturing non-penetrating, is a clinically important phenotype as it is associated with complications and need for surgery. It has recently been showed that the behaviour of Crohn's disease changes over the course of the disease. Aim: To assess the association between rapid development of a penetrating or stricturing pattern of Crohn's disease and demographic and clinical characteristics as well as NOD2/CARD15 genotype. Patients and methods: A total of 163 patients with a firm diagnosis of Crohn's disease and who had non-penetrating non-stricturing disease at diagnosis were studied. Various demographic and clinical characteristics as well as anitsaccharomyces cerevisiae antibody status and NOD2/CARD15 genotype were documented in these patients. These characteristics were compared in subgroups of patients according to evolution of disease behaviour five years after diagnosis. Results: Five years after diagnosis there were 110 (67.5%) patients with non-structuring non-penetrating disease, 18 (11%) with stricturing disease, and 35 (21.5%) with penetrating disease. In multivariate analysis, only disease location and number of flares per year were significantly discriminant between the three subgroups (p=0.0009 and 0.0001, respectively). Ileal location of the disease was associated with a stricturing pattern while a high number of flares was associated with a penetrating pattern. Active smoking was also associated with a penetrating pattern compared with a non-stricturing non-penetrating pattern only. Conclusions: Early development of stricturing or penetrating behaviour in Crohn's disease is influenced by disease location, clinical activity of the disease, and smoking habit, but not by NOD2/CARD15 genotype. [less ▲]

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See detailEarly development of the chondrocranium in Chrysichtys auratus (Pisces, Siluriformes, Claroteidae)
Vandewalle, Pierre ULg; Chikou, Antoine; Lalèyé, Philippe et al

in Journal of Fish Biology (1999), 55

The inception and development of the cartilaginous cephalis skeleton of Chrysichthys auratus is described from hatching to about 18 days post-hatching. At hatching, no skeletal structure is present. Not ... [more ▼]

The inception and development of the cartilaginous cephalis skeleton of Chrysichthys auratus is described from hatching to about 18 days post-hatching. At hatching, no skeletal structure is present. Not until day 3 do clearly delimited cranial primordia become apparent. As in many siluriforms, the neurocranium is platybasic from the start, the suspensorium constitutes, with Meckel’s cartilage and the hyoid bar, a single cartilaginous element, and the junction between the front and rear of the neurocranium is complete on day 4. By day 8 the quadratomandibular joint has formed and the tectum posterius has appeared. Cartilage reduction first affects the trabecular bars, then, markedly, the visceral arches. By day 18 the braincase floor has almost disappeared. [less ▲]

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See detailearly development of the condrocranium in Chrysichtys auratus (Siluriformes, Claroteidae)
Vandewalle, Pierre ULg; Chikou, Antoine; Lalèyé, Philippe et al

Poster (1998)

Detailed reference viewed: 7 (1 ULg)