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See detailDevelopment of a neural network to predict the final geometry of forged rings after cooling
Casotto, S.; Bruschi, S.; Pascon, Frédéric ULg et al

in Banabic, D. (Ed.) Proceedings of the 8th ESAFORM Conference on Material Forming (Vol. 2) (2005)

The paper deals with an application of Artificial Neural Networks (ANNs) to predict the geometry of hot forged pieces after cooling. Different ANNs have been considered and evaluated; then a network with ... [more ▼]

The paper deals with an application of Artificial Neural Networks (ANNs) to predict the geometry of hot forged pieces after cooling. Different ANNs have been considered and evaluated; then a network with two hidden layers has been set up. Training and testing data have been obtained through calibrated numerical simulations of the cooling phase carried out with a finite element (F.E.) code. The good agreement between predicted and numerical results confirms the possibility of using well-trained neural network to foresee final dimensions of pieces after hot forging operations. [less ▲]

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See detailDevelopment of a new commercial qPCR assay to detect and differentiate dermatophyte infections of the skin, nails and hair
Dingemans, Gijs; van den Bosch, Mélanie; HAYETTE, Marie-Pierre ULg et al

Poster (2014, May)

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See detailDevelopment of a new crossbred based evaluation for carcass quality of Piétrain boars in the Walloon Region of Belgium
Dufrasne, Marie ULg; Hammami, Hedi ULg; Jaspart, Véronique et al

in Proceedings of the British Society of Animal Science and the Agricultural Research Forum (2010, April)

Detailed reference viewed: 58 (21 ULg)
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See detailDevelopment of a new crossbred based evaluation for carcass quality of Piétrain boars in the Walloon Region of Belgium
Dufrasne, Marie ULg; Hammami, Hedi ULg; Jaspart, Véronique et al

Poster (2010)

The aim of this study was to develop a genetic evaluation model to estimate the genetic merit of Piétrain boars for some carcass quality traits. These boars are now evaluated on performances recorded on ... [more ▼]

The aim of this study was to develop a genetic evaluation model to estimate the genetic merit of Piétrain boars for some carcass quality traits. These boars are now evaluated on performances recorded on their crossbred progeny fattened in a central test station. Data provided by the on-farm performance recording system were utilized in this study. Traits analysed were backfat thickness (BF) and lean meat percentage (%meat). The data file contains 60 546 records measured on pigs between 150 and 300 days of age. Model developed was a multitrait animal model. Fixed effects were sex, contemporary groups and heterosis, modeled as regression on heterozygosity. Random effects were additive genetic and permanent environment, modeled by random regressions using linear splines, and residual. Variance components were estimated by restricted maximum likelihood (REML) method on random samples of the total dataset and then confirmed by a Gibbs sampling algorithm on the total dataset. Fit of the model was tested by computing residuals from a BLUP (Best Linear Unbiased Prediction) evaluation. BF and %meat have a high heritability that increase with age. These two traits are also highly genetically correlated. Mean residuals are not significantly different from zero for both traits. Given that BF and %meat had high heritability, genetic improvement of carcass quality is possible by selection on these two traits. Like residuals are close to zero for both traits, it seems that model developed explain a great proportion the variance in each traits. [less ▲]

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See detailDevelopment of a new crossbred based evaluation for carcass quality of Piétrain boars in the Walloon Region of Belgium
Dufrasne, Marie ULg; Hammami, Hedi ULg; Jaspart, Véronique et al

in Book of Abstract of the 61st Annual Meeting of the European Association for Animal Production (2010)

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See detailDevelopment of a new design method for the cross-section capacity of steel hollow sections
Nseir, Joanna ULg

Doctoral thesis (2015)

The cross-sectional behaviour of steel sections can be shown to be influenced by two extreme behaviors: the resistance and the instability. These boundaries are accounted for in current standards through ... [more ▼]

The cross-sectional behaviour of steel sections can be shown to be influenced by two extreme behaviors: the resistance and the instability. These boundaries are accounted for in current standards through a classification system consisting on rules depending on the cross-section dimensions. For example, in EN 1993-1-1, classes are defined spanning from stocky sections (class 1) able to develop their full plastic capacity, to slender sections (class 4) for which the effective properties are used with the use of the effective width method (EWM). However, for cold-formed steel sections, characterized by a non-linear material law, the cross-section resistance can go beyond its plastic capacity due to strain hardening effects. Moreover, with the emergence of high strength steel (i.e. cross-sections falling into class 4) and more complex cross-section shapes, the effective width method is becoming too complicated. Many other reasons and discrepancies are making the cross-section classification too complex and inconsistent. The Overall Interaction Concept (OIC) stands as a new design approach that aims at a straightforward design check of the stability and resistance of steel cross-sections. Based on the use of a generalized relative slenderness and so-called interaction curves, it can be applied to any type of cross-section, further includes potential non-linear material behaviour and covers combined loading cases. The main aim of this thesis is to develop and propose OIC interaction curves dedicated to steel hollow sections subjected to various load cases. A test program was carried out as a part of a European project named ‘HOLLOPOC’ to investigate the cross-sectional behavior of cold-formed hot-finished and hot-rolled square, rectangular and circular sections. 57 cross-sections tests including simple and combined load cases were performed. Besides, a finite element model was developed and calibrated on the basis of the tests, and its accuracy was seen to be sufficient to subsequently undergo an extensive numerical parametric study for hot-rolled and cold-formed cross-sections, leading to over than 40 000 numerical results. Based on these computations, design proposals were made within the context of the Overall Interaction Concept, using an extension of the Ayrton-Perry approach. Finally, a validation of the proposed formulae was made through a comparison with existing approach and worked examples were presented, in order to illustrate (i) the application of the method and (ii) its benefits in comparison to application of current EC3 rules. [less ▲]

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See detailDevelopment of a new ELISA for measurement of pregnancy-associated glycoprotein.
Delahaut, Ph; Melo de Sousa, Noelita ULg; Huet, A. C. et al

in Proceedings of the 6th European Congress of Bovine Health and Management (ECBHM) (2011, September 07)

In the present study we report the development of a new ELISA for PAG measurement (Ref. code E.G.7, CER, Maloie) in ruminant species. Purified boPAG67kDa protein was purified in our laboratory and used as ... [more ▼]

In the present study we report the development of a new ELISA for PAG measurement (Ref. code E.G.7, CER, Maloie) in ruminant species. Purified boPAG67kDa protein was purified in our laboratory and used as standard. Antiserum raised against caprine PAG 55kDa+62kDa (AS707) was used as capture antibody (1:40,000). Antiserum raised against PAG purified from buffalo placentas (AS859) was used as detection antibody (1:32,000 dilution). Avidin-HRP and TMB completed the ELISA system. Reproducibility was determined by calculating the intra- and inter-assay CV. Accuracy was determined by adding increasing concentrations of purified boPAG67kDa to bovine sera containing low PAG concentrations. Specificity was tested regarding 25 different compounds: carbohydrates, aspartic proteinases, hormones and major plasma proteins. Parallelism was assessed by serially diluting pregnant cow serum containing high PAG concentrations. Sera was collected from pregnant cows (n=4) during the whole duration of gestation. Samples were tested by both RIA and ELISA. Samples giving high PAG concentrations were serially diluted in order to fit with optical density (OD) of the ELISA standard curve. Intra-and inter-assay CV ranged from 5.5 to 9.1%. Accuracy ranged from 92.9 to 105.5%. No cross reaction was observed with almost all tested compounds excepting lactic acid at supra-physiological levels (1 mg/ml). Dilutions of bovine maternal sera were parallel to standard curve. Profiles obtained by ELISA in pregnant cows were very similar to those obtained by RIA. In conclusion, a new PAG-ELISA is available for measurement of PAG concentrations in cattle. This new test was validated in vitro and can be used for pregnancy diagnosis and follow-up of gestation in cattle. [less ▲]

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See detailDevelopment of a new genetic evaluation model for carcass quality based on crossbred performances of Piétrain boars in the Walloon Region of Belgium
Dufrasne, Marie ULg; Hammami, Hedi ULg; Jaspart, Véronique et al

in Proceedings of the 9th World Congress on Genetics Applied to Livestock Production (2010)

In context of the development of the genetic evaluation system of Piétrain boars for crossbred performances, a genetic evaluation model was developed for the estimation of genetic merit of boars for ... [more ▼]

In context of the development of the genetic evaluation system of Piétrain boars for crossbred performances, a genetic evaluation model was developed for the estimation of genetic merit of boars for backfat thickness (BF) and meat percentage (%meat). The model developed was a random regression model using linear splines on age which knots at 175, 200 and 250 days. Variance components were estimated by restricted maximum likelihood and Gibbs sampling. Estimated heritability from 150 to 300 days increased from 0.56 to 0.75 for BF and from 0.55 to 0.69 for %meat. Genetic correlation between BF and %meat varied between -0.90 and -0.93 from 150 to 300 days. According to the study of residuals, the developed model was considered to fit well the data especially between 175 and 250 days of age. [less ▲]

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See detailDevelopment of a new genetic evaluation model for carcass quality based on crossbred performances of Piétrain boars in the Walloon Region of Belgium
Dufrasne, Marie ULg; Hammami, Hedi ULg; Jaspart, Véronique et al

Conference (2010)

In context of the development of the genetic evaluation system of Piétrain boars for crossbred performances, a genetic evaluation model was developed for the estimation of genetic merit of boars for ... [more ▼]

In context of the development of the genetic evaluation system of Piétrain boars for crossbred performances, a genetic evaluation model was developed for the estimation of genetic merit of boars for backfat thickness (BF) and meat percentage (%meat). The model developed was a random regression model using linear splines on age which knots at 175, 200 and 250 days. Variance components were estimated by restricted maximum likelihood and Gibbs sampling. Estimated heritability from 150 to 300 days increased from 0.56 to 0.75 for BF and from 0.55 to 0.69 for %meat. Genetic correlation between BF and %meat varied between -0.90 and -0.93 from 150 to 300 days. According to the study of residuals, the developed model was considered to fit well the data especially between 175 and 250 days of age. [less ▲]

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See detailDevelopment of a new high-speed steel with optimized carbide composition for mill rolls
Lecomte-Beckers, Jacqueline ULg; Tchuindjang, Jérôme Tchoufack ULg; Pirard, Eric ULg et al

in Stal' (2003), 2

High Speed Steel (HSS) cast rolls are used in front finishing stands of hot strip mills. Good wear resistance and hardness at high temperatures, are defining features of HSS. Many types of carbides are ... [more ▼]

High Speed Steel (HSS) cast rolls are used in front finishing stands of hot strip mills. Good wear resistance and hardness at high temperatures, are defining features of HSS. Many types of carbides are present in these alloys, each having different effect upon their final properties. As a result, nature, morphology and amount of these carbides are factors of important concern. Identification and characterisation of carbides were realised. MC, M2C, M7C3 carbides were found. Some relationships with mechanical properties were obtained especially in the field of the solidification sequence that affects grain size and carbides dispersion. [less ▲]

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See detailDevelopment of a new hydrocarbon index for oil-in-water
Kvernheim, A. L.; Lund, H. S.; Berg, B. et al

in Chemosphere (1999), 39(15), 2707-2722

A new robust method for determination of hydrocarbons in water without use of Freon(TM) or other halogenated solvents has been validated and subjected to an interlaboratory exercise. The method is based ... [more ▼]

A new robust method for determination of hydrocarbons in water without use of Freon(TM) or other halogenated solvents has been validated and subjected to an interlaboratory exercise. The method is based on extraction with a light hydrocarbon (boiling point in the 39-69 degrees C range), followed by cleanup for removal of polar components and detection by gas chromatography (GC) with flame ionisation (FID) detection. The performance characteristics of the method are comparable with that of the previous Freon-IR method with recoveries in the 60-80% range and reproducibility (between laboratory variations) of about 30%. A screening method for hydrocarbons in the range 5 ppm and above based on infrared spectroscopy (IR), and a promising method for detection of low levels based on solid phase extraction (SPE) has been tested and validated. (C) 1999 Elsevier Science Ltd. All rights reserved. [less ▲]

Detailed reference viewed: 109 (2 ULg)
Peer Reviewed
See detailDevelopment of a new in vivo tracer of the cerebral pH.
Plenevaux, Alain ULg; Demonceau, G.; Cantineau, R. et al

in Journal of Cerebral Blood Flow & Metabolism (1989), 9S1

Detailed reference viewed: 7 (2 ULg)
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See detailDevelopment of a new integrated biosensor system for an accurate diagnosis of prostate cancer using optoacoustic detection
Fleron, Maximilien ULg; Schol, Daureen ULg; Greisch, Jean-François et al

Poster (2007, June 09)

The prostate cancer is the most common male-specific cancer observed in the European Union and is the second leading cause of cancer death in men in our industrialized countries. The choice of treatment ... [more ▼]

The prostate cancer is the most common male-specific cancer observed in the European Union and is the second leading cause of cancer death in men in our industrialized countries. The choice of treatment and its efficiency is largely dependent on the stage and on the degree of advancement of the cancer when it is diagnosed. Screening procedures like digital rectal examination (DRE) and free prostate specific antigen (PSA) level testing are well established but lack accuracy, yielding only 80% of prostate cancers diagnosed in an early stage. By providing a more accurate and precise tool for diagnosing prostate cancer in its early stages, the percentage of curable cancer patients would increase radically. Current imaging techniques have limited value, thus a major challenge in current prostate cancer oncology is to develop more accurate imaging assessments. An efficient imaging technique which significantly improves the sensitivity and specificity of diagnosing, staging and predicting the behaviour of prostate cancer would be extremely valuable. The ADONIS Project intends to prove the concept of using optoacoustic imaging in combination with biologically functionalized nanoparticles as an integrated biosensor based system for the production of specific and sensitive data for accurate diagnosis of prostate cancer. The achievement of this objective requires excellent know-how on a variety of scientific and technologic fields, brought by the partners of ADONIS, coming from five European countries, such as laser and ultrasound technologies and image reconstruction techniques, the bio-functionalization of nanoparticles, the system integration and, finally, experiments and competent evaluation of the results for their application potential. The development of the biosensor is firstly performed to target the Prostate Specific Membrane Antigen (PSMA), a transmembrane protein considered as a suitable biomarker for prostate cancer and which is under intense investigation for use as an imaging and therapeutic target. To allow the detection optimization of the biosensor, a 3D cellular culture technique (Rotating Cell Culture System) is developed with LNCaP cells (a human prostate carcinoma cell line reported to express PSMA) to be closest to the in vivo aspect for which a three-dimensional aspect of tumor for the biosensor detection is needed. Detection and localisation of PSMA on LNCaP cell surface was performed by immunostainning on monolayer culture and on spheroid slices. Then, by backscattered electron (BSE) microscopy analysis, detection of nanoparticles on cells surface shows the successful binding of the biosensor to the cells expressing PSMA. In prospect, the detection of the biosensor will be tested on large spheroids and finally tested on in vivo model. [less ▲]

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See detailDevelopment of a new predictive modelling technique to find with confidence equivalence zone and design space of chromatographic analytical methods
Lebrun, Pierre ULg; Govaerts, Bernadette; Debrus, Benjamin ULg et al

in Chemometrics and Intelligent Laboratory Systems (2008), 91

A new method for modelling chromatographic responses is presented as a critical piece for the achievement of automated development of analytical methods. This methodology is based on four parts. First, we ... [more ▼]

A new method for modelling chromatographic responses is presented as a critical piece for the achievement of automated development of analytical methods. This methodology is based on four parts. First, we propose to use a very little set of statistical equations to create predictive models for retention time based responses as the apex, the width and the asymmetry of peaks. Second, an experimental design is set up to realize experiments. Third, using grid search over the domain, multi criteria decision is taken with respect to different local or global optimization criteria, used as desirability functions. This allows finding an optimal chromatogram. Fourth, we advice to investigate how the predictive error of the models propagates around optimal solution. This allows to give confidence in the optimal solution, in finding a set of zones that presumably will give an acceptable solution. Design spaces can be derived with a similar technique. The approach is exemplified with a real case and predictions of models at optimal analytical conditions are validated through new experiments. Flexibility is left over all the presented methodology. [less ▲]

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See detailDevelopment Of A New Probe For Specific And Sensitive Detection Of 'Candidatus Phytoplasma Mali' In Inoculated Apple Trees
Aldaghi, M.; Massart, Sébastien ULg; Roussel, S. et al

in Annals of Applied Biology (2007), 151(2), 251-258

Detailed reference viewed: 12 (3 ULg)