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See detailDetection of Clostridium botulinum neurotoxins A and B in milk by ELISA and immuno-PCR at higher sensitivity than mouse bio-assay
Rajkovic, Andreja; Elmoualij, Benaïssa ULg; Fikri, Youssef et al

in Food Analytical Methods (2011), [Epub ahead of print]

Detailed reference viewed: 57 (9 ULg)
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See detailDetection of complement-dependent lytic antibodies in sera from bovine leukemia virus-infected animals.
Portetelle, Daniel ULg; Bruck, Claudine; Burny, Arsène et al

in Annales de Recherches Vétérinaires = Annals of Veterinary Research (1978), 9(4), 667-674

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See detailDetection of copy number variants in the horse genome and examination of their association with recurrent laryngeal neuropathy
Dupuis, Marie-Capucine; Zhang, Zhiyan ULg; Durkin, Keith ULg et al

in Animal Genetics (2013)

We used the data from a recently performed genome-wide association study using the Illumina Equine SNP50 beadchip for the detection of copy number variants (CNVs) and examined their association with ... [more ▼]

We used the data from a recently performed genome-wide association study using the Illumina Equine SNP50 beadchip for the detection of copy number variants (CNVs) and examined their association with recurrent laryngeal neuropathy (RLN), an important equine upper airway disease compromising performance. A total of 2797 CNVs were detected for 477 horses, covering 229 kb and seven SNPs on average. Overlapping CNVs were merged to define 478 CNV regions (CNVRs). CNVRs, particularly deletions, were shown to be significantly depleted in genes. Fifty-two of the 67 common CNVRs (frequency ! 1%) were validated by association mapping, Mendelian inheritance, and/or Mendelian inconsistencies. None of the 67 common CNVRs were significantly associated with RLN when accounting for multiple testing. However, a duplication on chromosome 10 was detected in 10 cases (representing three breeds) and two unphenotyped parents but in none of the controls. The duplication was embedded in an 8-Mb haplotype shared across breeds. [less ▲]

Detailed reference viewed: 27 (11 ULg)
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See detailDetection of counterfeit Viagra by Raman microspectroscopy imaging and multivariate analysis
Sacré, Pierre-Yves ULg; Deconinck, Eric; Saerens, Lien et al

Conference (2011, May 13)

Detailed reference viewed: 45 (4 ULg)
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See detailDetection of counterfeit Viagra® by Raman Microspectroscopy imaging and multivariate analysis.
Sacré, Pierre-Yves ULg; Deconinck, Eric; Saerens, Lien et al

in Journal of Pharmaceutical & Biomedical Analysis (2011), 56

Detailed reference viewed: 66 (14 ULg)
See detailDetection of Crustal Deformation on Mt. Etna using the ROB-IIV GPS Network
Bruyninx, Carine; Warnant, René ULg

Poster (1994)

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See detailDetection of Cytokines in Human Sural Nerve Biopsies: An Immunohistochemical and Molecular Study
Deprez, Manuel ULg; Lübke, U.; Verlaet, Myriam ULg et al

in Acta Neuropathologica (2001), 101(4), 393-404

In vitro and in vivo models have implicated numerous cytokines as major modulators of inflammation, destruction and repair in the peripheral nervous system (PNS). The in situ production of cytokines in ... [more ▼]

In vitro and in vivo models have implicated numerous cytokines as major modulators of inflammation, destruction and repair in the peripheral nervous system (PNS). The in situ production of cytokines in human peripheral nerve disorders is still poorly documented. We studied the expression of interleukin (IL)-1 beta, tumor necrosis factor (TNF)-alpha, IL-6, IL-10, IL-4, IL-3 and nerve growth factor (NGF) in 35 human sural nerve biopsies using immunohistochemistry; additional reverse transcription-polymerase chain reaction and mRNA in situ hybridization were performed for IL-4 and NGF. Expression of IL-1 beta and TNF-alpha was shown in both morphologically normal nerves and various neuropathies, and macrophages appeared as their predominant source. Levels of IL-1 beta and TNF-alpha expression were significantly correlated (P < 0.01) with each other and with expression of NGF. Multiple endoneurial sources were suggested for IL-6 and IL-10 with low immunoreactivity in the vast majority of cases. Conversely, IL-4 and IL-3 expression were found in neuropathies of various etiologies and Schwann cells appeared to be a predominant source of IL-4 in double-labeling immunofluorescence studies. IL-3 immunoreactivity correlated with IL-1 beta, TNF-alpha and IL-6. In this retrospective study, no specific cytokine profile of expression could be assigned to a precise subgroup of neuropathies. This is the first report of IL-4 and IL-3 expression in human neuropathies, and it may be important given the potential role of these cytokines in modulating macrophage activity in the PNS. [less ▲]

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See detailDetection of cytomegalovirus with labeled DNA probes
Bourdon-Wouters, C.; Sadzot-Delvaux, Catherine ULg; Merville, Marie-Paule ULg et al

Poster (1987)

Detailed reference viewed: 12 (2 ULg)
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See detailDetection of decreased glomerular filtration rate in intensive care units: serum cystatin C versus serum creatinine
DELANAYE, Pierre ULg; CAVALIER, Etienne ULg; Morel, Jérôme et al

in BMC Nephrology (2014), 15(9), 1471-2369

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See detailDetection of Defects in Concrete With Ground Penetrating Radar
Van der Wielen, Audrey ULg; Courard, Luc ULg; Nguyen, Frédéric ULg

in ESPSC 2011: European Symposium on Polymers in Sustainable Construction (Czarnecki Symposium) (2011, September)

Ground Penetrating Radar (GPR) is a nondestructive technique particularly well adapted to the inspection of concrete structures and can help to determine the structure inner geometry or to detect damaged ... [more ▼]

Ground Penetrating Radar (GPR) is a nondestructive technique particularly well adapted to the inspection of concrete structures and can help to determine the structure inner geometry or to detect damaged areas. When the GPR is used on structures containing thin layers, for example the sealing layer of a bridge or the void into a masonry wall, it is important for the radar user to know the minimum thickness required to detect and estimate the thickness of those layers. The theory of thin layer detection is based on a sine wave but, in reality, the GPR emits a complicated pulse, which undergoes attenuation into the layer. To see the influence of those realistic conditions on the reflection coefficient of a thin layer, we combined experimental measurements and numerical FDTD simulations. The experimental results matched the numerical predictions well, presenting a fast attenuation compared to the theoretical predictions. Nevertheless, for thicknesses inferior to λ/11, the reflection coefficient could still be considered as linearly dependent of the thickness to wavelength ratio. [less ▲]

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See detailDetection of defects on fruits by machine vision and unsupervised segmentation
Kleynen, Olivier; Destain, Marie-France ULg

in AgEng 2004 Conference (2004, September)

Defect detection on fruits by machine vision is a complex task. Indeed, the sound tissue colour is not uniform and the defects present a wide variability in colour, shape and texture. Mostly often, images ... [more ▼]

Defect detection on fruits by machine vision is a complex task. Indeed, the sound tissue colour is not uniform and the defects present a wide variability in colour, shape and texture. Mostly often, images are acquired by conventional RGB cameras and defect segmentation is performed by algorithms based on Bayes' rules. The efficiency of these methods can be improved firstly by acquiring images with a dedicated vision system (multi-spectral imager) and secondly by implementing unsupervised segmentation methods (method derived from the 'mean shift' procedure of Camaniciu and Meer, 2002). [less ▲]

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See detailDetection of defects on fruits by machine vision and unsupervised segmentation
Kleynen, Olivier; Destain, Marie-France ULg

in AgEng 2004 Conference - Engineering the fuiture (2004)

Defect detection on fruits by machine vision is a complex task. Indeed, the sound tissue colour is not uniform and the defects present a wide variability in colour, shape and texture. Mostly often, images ... [more ▼]

Defect detection on fruits by machine vision is a complex task. Indeed, the sound tissue colour is not uniform and the defects present a wide variability in colour, shape and texture. Mostly often, images are acquired by conventional RGB cameras and defect segmentation is performed by algorithms based on Bayes'rules. The efficiency of these methods can be improved firstly by acquiring images with a dedicated vision system (multi-spectal imager) and secondly by implementing unsupervised segmentation methods (based on the 'mean shift' procedure; Comaniciu and Meer, 2002). [less ▲]

Detailed reference viewed: 37 (1 ULg)
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See detailDetection of differential host susceptibility to the marine oomycete pathogen Eurychasma dicksonii by real-time PCR: not all algae are equal.
Gachon, Claire M. M.; Strittmatter, Martina; Müller, Dieter G. et al

in Applied and environmental microbiology (2009), 75(2), 322--8

In the marine environment, a growing body of evidence points to parasites as key players in the control of population dynamics and overall ecosystem structure. However, their prevalence and impact on ... [more ▼]

In the marine environment, a growing body of evidence points to parasites as key players in the control of population dynamics and overall ecosystem structure. However, their prevalence and impact on marine macroalgal communities remain virtually unknown. Indeed, infectious diseases of seaweeds are largely underdocumented, partly because of the expertise required to diagnose them with a microscope. Over the last few years, however, real-time quantitative PCR (qPCR) has emerged as a rapid and reliable alternative to visual symptom scoring for monitoring pathogens. Thus, we present here a qPCR assay suitable for the detection and quantification of the intracellular oomycete pathogen Eurychasma dicksonii in its ectocarpalean and laminarialean brown algal hosts. qPCR and microscopic observations made of laboratory-controlled cultures revealed that clonal brown algal strains exhibit different levels of resistance against Eurychasma, ranging from high susceptibility to complete absence of symptoms. This observation strongly argues for the existence of a genetic determinism for disease resistance in brown algae, which would have broad implications for the dynamics and genetic structure of natural populations. We also used qPCR for the rapid detection of Eurychasma in filamentous brown algae collected in Northern Europe and South America and found that the assay is specific, robust, and widely applicable to field samples. Hence, this study opens the perspective of combining large-scale disease monitoring in the field with laboratory-controlled experiments on the genome model seaweed Ectocarpus siliculosus to improve our understanding of brown algal diseases. [less ▲]

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See detailDetection of differential item functioning using the lasso approach
Magis, David ULg; Tuerlinckx, Francis; De Boeck, Paul

Conference (2014, July 22)

The purpose of this talk is to present a novel approach to detect differential item functioning (DIF) among dichotomously scored items. Unlike standard DIF methods that perform an item-by-item analysis ... [more ▼]

The purpose of this talk is to present a novel approach to detect differential item functioning (DIF) among dichotomously scored items. Unlike standard DIF methods that perform an item-by-item analysis, we consider a logistic regression model including item-group interaction (i.e. DIF) effects of all items simultaneously. The method is based on penalized maximum likelihood estimation of a model with a lasso penalty on all possible DIF parameters. Optimal penalty parameter selection is investigated through several known information criteria (such as AIC and BIC) as well as a newly developed weighted alternative. A simulation study was conducted to compare the global performance of the suggested “lasso DIF” method to the logistic regression and Mantel-Haenszel methods, and to evaluate the different optimal penalty parameter selection methods. It is concluded that for small samples the lasso DIF approach globally outperforms the logistic regression method, and also the Mantel-Haenszel method, especially in the presence of item impact, while it yields similar results with larger samples. [less ▲]

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See detailDetection of differential item functioning using the lasso approach
Magis, David ULg; Tuerlinckx, Francis; De Boeck, Paul

in Journal of Educational & Behavioral Statistics (2015), 40

This paper proposes a novel approach to detect differential item functioning (DIF) among dichotomously scored items. Unlike standard DIF methods that perform an item-by-item analysis, we propose the “LR ... [more ▼]

This paper proposes a novel approach to detect differential item functioning (DIF) among dichotomously scored items. Unlike standard DIF methods that perform an item-by-item analysis, we propose the “LR lasso DIF method”: logistic regression (LR) model is formulated for all item responses. The model contains item specific intercepts, an effect of the sum score and item-group interaction (i.e. DIF) effects, with a lasso penalty on all DIF parameters. Optimal penalty parameter selection is investigated through several known information criteria (AIC, BIC and cross-validation) as well as through a newly developed alternative. A simulation study was conducted to compare the global performance of the suggested “LR lasso DIF” method to the logistic regression and Mantel-Haenszel methods (in terms of false alarm and hit rates). It is concluded that for small samples the LR lasso DIF approach globally outperforms the logistic regression method, and also the Mantel-Haenszel method, especially in the presence of item impact, while it yields similar results with larger samples. [less ▲]

Detailed reference viewed: 53 (3 ULg)
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See detailDetection of differential item functioning with the difR package
Magis, David ULg; Béland, Sébastien; Tuerlinckx, Francis et al

Poster (2010, July)

The purpose of this talk is to briefly present the package difR of the software R. This package permits to identify differential item functioning (DIF) with several parametric or nonparametric methods ... [more ▼]

The purpose of this talk is to briefly present the package difR of the software R. This package permits to identify differential item functioning (DIF) with several parametric or nonparametric methods. Nonparametric methods include: Mantel-Haenszel, standardization, logistic regression and Breslow-Day. Available parametric methods are the Lord’s chi-square test, the Raju’s area method, and the likelihood-ratio test. Some methods for DIF identification in multiple groups (generalized Mantel-Haenszel, generalized Lord’s test) are also available. The presentation focuses on the package and its potential, rather than on the included methods. Its performance will be illustrated with an example data set. [less ▲]

Detailed reference viewed: 115 (4 ULg)
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See detailDetection of differential item functioning: crossed random-effects models and robust diagnostics tools
Magis, David ULg; De Boeck, Paul

Scientific conference (2008, September)

Detailed reference viewed: 6 (0 ULg)
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See detailDetection of disease resistance and susceptibility alleles in pigs using oligonucleotide microarray hybridization
Pastoret, Soumya; Ameels, Hélène; Bossiroy, Frédérique et al

in Journal of Veterinary Diagnostic Investigation (2012), 24(3), 479-488

A multiplex DNA microarray chip aimed at the identification of allelic polymorphisms was developed for simultaneous detection of swine disease resistance genes underlying malignant hyperthermia (RYR ... [more ▼]

A multiplex DNA microarray chip aimed at the identification of allelic polymorphisms was developed for simultaneous detection of swine disease resistance genes underlying malignant hyperthermia (RYR ), postweaning diarrhea, edema disease (FUT1), neonatal diarrhea (MUC4), and influenza (MX1). The on-chip detection was performed with fragmented polymerase chain reaction (PCR)-amplified products. Particular emphasis was placed on the reduction of the number of PCR reactions required. The targets were biotin labeled during the PCR reaction, and the arrays were detected using a colorimetric methodology. Target recognition was provided by specific capture probes designed for each susceptible or resistant allelic variant. Sequencing was chosen as the golden standard to assess chip’s accuracy. All genotypes retrieved from the microarray (476) fitted with sequencing data in spite of the fact that each pig was heterozygote for at least 1 target gene. [less ▲]

Detailed reference viewed: 69 (6 ULg)
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See detailDetection of diverse mould species growing on building materials by gas sensor arrays and pattern recognition
Kuske, Martyna; Padilla, M.; Romain, Anne-Claude ULg et al

in Sensors and actuators. B, Chemical (2006), 119(1), 33-40

This work explores the detection of moulds growing in different building materials by using a metal oxide sensor array. Four moulds species have been considered. Pattern classification provides detection ... [more ▼]

This work explores the detection of moulds growing in different building materials by using a metal oxide sensor array. Four moulds species have been considered. Pattern classification provides detection rates on the order of 80-85% for different species. Drift degrades only slightly these values subsequent test 4 months later. [less ▲]

Detailed reference viewed: 40 (14 ULg)