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See detailExploitation of trispecific hybrids to introgress the glandless seed and glanded plant trait of Gossypium sturtianum Willis into G. hirsutum L.
Mergeai, Guy ULg; Baudoin, Jean-Pierre ULg; Vroh Bi, I.

in Biotechnologie, Agronomie, Société et Environnement = Biotechnology, Agronomy, Society and Environment [=BASE] (1997), 1(4),

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See detailExploitation optimale des lignes électriques aériennes à haute tension par évaluation en temps réel de la flèche des conducteurs et du vent agissant sur la portée
Godard, Bertrand ULg

Doctoral thesis (2015)

[Abstract] The primary concern with the electrical loading of high-voltage overhead lines is ground clearance, which depends on several factors, including constantly varying weather parameters. Sagging of ... [more ▼]

[Abstract] The primary concern with the electrical loading of high-voltage overhead lines is ground clearance, which depends on several factors, including constantly varying weather parameters. Sagging of the conductor, the main safety criteria, is due to (thermal) expansion of the line, a complex function of air temperature, solar radiation, local wind and actual current. A patented (patent US 8184015B2) method (based on a smart sensor named AmpacimonTM attached directly to an overhead line conductor) to directly measure the sag of overhead transmission line conductors is described. The main advantage of the concept is the real time direct measurement of the sag needed for the operation of the transmission or distribution system without the need for any additional and intermediate data, such as for example load, topological data, conductor tension, conductor temperature, and ambient weather conditions. The sag is determined by analyzing the conductor's vibrations, detecting the span's frequencies of vibrations. The fundamental frequencies form the exact signature of the span. Exterior conditions such as load, weather, topology, suspension movement, creep and the presence of snow and ice affect the sag, and, therefore, are automatically incorporated into the frequency of vibrations. Thus, this method is a direct sag evaluator compared to other methods that determine the sag based on conductor temperature or conductor tension measurements and inferences about other parameters (mass of conductor, span length,…). Moreover, sensor and method does not need to be calibrated, as the sag is deduced from the detected frequencies and not from signal amplitude. Completed field tests have confirmed that the method (and sensor) gives appropriate and highly accurate sag measurements (less than a 20 [cm] margin of error). The wind speed has a dramatic impact on power line ampacity as it is the main variable responsible for cooling down the conductor, and hence for the sag value. However, a single-spot measurement does not allow knowing the global effect of the wind over the whole span, in particular for low wind speeds (typically for wind speeds whose component perpendicularly to the conductor axis lower than 2-3 [m/s]) which are dramatic for ampacity (ampere capacity) determination. A patented (patent WO 2014090416 A1) direct method (based on a smart sensor named AmpacimonTM attached directly to an overhead line conductor) for measuring a perpendicular wind speed component with respect to a suspended cable span is presented. Appropriate data analysis coupling conductor's motion frequency detection, Strouhal equation and swing angle measurement gives a full picture of any wind speed. As the cable moves as a whole, the presented method provides a value which is representative of the mean perpendicular wind speed effect along the entire suspended cable span. In the past, the difficulty of predicting weather parameters and sag has resulted in conservative assumptions to ensure public safety and power-system security. If transmission system operators are to increase the use of the overhead line circuits' load-transfer capacity while ensuring the regulatory clearances above ground are maintained, they need a system that determines the available real-time load-transfer capacity, conductor sag (and perpendicular wind speed) by direct measurement, without the need to factor in unreliable parameters. The methods and system presented in this work will open new insights to power system network management in many aspects, from congestion management to preventive maintenance. [less ▲]

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See detailExploitation pédagogique de la télédétection par satellite
Binard, Marc ULg; Marchal, Denis; Donnay, Jean-Paul ULg

in Information et Enseignement (IBM) (1989), 15

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See detailExploitations philologiques et historiques d’une banque de données de la langue latine
Purnelle, Gérald ULg

in Cacaly, Serge; Losfeld, Gérard (Eds.) Sciences historiques, sciences du passé et nouvelles technologies d'information. Bilan et évaluation (1989)

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See detailExploiter et gérer durablement les forêts d'Afrique Centrale
Doucet, Jean-Louis ULg

Speech/Talk (2009)

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See detailExploiting Biology Specific Properties for the Estimation of Kinetic Parameters
Fey, D.; Bullinger, Eric ULg

Poster (2008, August)

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See detailExploiting Electron Spectroscopies to Probe the Structure and Organization of Self-assembled Monolayers : a Review
Duwez, Anne-Sophie ULg

in Journal of Electron Spectroscopy & Related Phenomena (2004), 134

In this paper, we review and discuss the use of electron spectroscopies to characterize self-assembled monolayers (SAMs). The review concentrates on thiol-derived monolayers on gold with emphasis on n ... [more ▼]

In this paper, we review and discuss the use of electron spectroscopies to characterize self-assembled monolayers (SAMs). The review concentrates on thiol-derived monolayers on gold with emphasis on n-alkanethiols, considered as archetypal systems. Since they are relatively simple model systems (ease of preparation, high structural order, and flexibility in the structure of chemical groups exposed to the surface), they are particularly well-suited reference samples for molecular level understanding of surface phenomena and for disclosing the potential of surface sensitive techniques. Some examples concerning silane-derived monolayers are also discussed. Many different spectroscopic techniques have been applied to characterize SAMs. Among them, electron spectroscopies, such as XPS, UPS, photoemission with synchrotron radiation, and HREELS, have been used to investigate the structure of alkanethiols on gold, and in particular, to characterize the S–Au bond, the packing density, the crystalline order, and molecular orientation.We try here to provide an overview on the structural information that can be obtained from those techniques. Damage processes induced by X-ray and electron beam are discussed in detail. [less ▲]

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See detailExploiting Localization for Faster Power System Dynamic Simulations
Aristidou, Petros ULg; Fabozzi, Davide; Van Cutsem, Thierry ULg

in Proc. IEEE PES 2013 PowerTech Conference (2013, June)

This paper proposes an algorithm for exploiting the localized response of power system components to accelerate dynamic simulations. During the simulation, components marginally participating to the ... [more ▼]

This paper proposes an algorithm for exploiting the localized response of power system components to accelerate dynamic simulations. During the simulation, components marginally participating to the system dynamics are characterized as latent and their dynamic models are replaced by much simpler equivalents. At the same time, components with significant dynamic activity are characterized as active and their original dynamic models are used. Based on the criterion proposed, components switch status between active and latent to increase performance while retaining accuracy. Two realistic test systems, a medium-scale and a large-scale, are used for the performance evaluation of the proposed method. [less ▲]

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See detailExploiting policy knowledge in online least-squares policy iteration: An empirical study
Busoniu, Lucian; Ernst, Damien ULg; Babusku, Robert et al

in Automation, Computers, Applied Mathematics (2010), 19(4), 521-529

Reinforcement learning (RL) is a promising paradigm for learning optimal control. Traditional RL works for discrete variables only, so to deal with the continuous variables appearing in control problems ... [more ▼]

Reinforcement learning (RL) is a promising paradigm for learning optimal control. Traditional RL works for discrete variables only, so to deal with the continuous variables appearing in control problems, approximate representations of the solution are necessary. The field of approximate RL has tremendously expanded over the last decade, and a wide array of effective algorithms is now available. However, RL is generally envisioned as working without any prior knowledge about the system or the solution, whereas such knowledge is often available and can be exploited to great advantage. Therefore, in this paper we describe a method that exploits prior knowledge to accelerate online least-squares policy iteration (LSPI), a state-of-the-art algorithm for approximate RL. We focus on prior knowledge about the monotonicity of the control policy with respect to the system states. Such monotonic policies are appropriate for important classes of systems appearing in control applications, including for instance nearly linear systems and linear systems with monotonic input nonlinearities. In an empirical evaluation, online LSPI with prior knowledge is shown to learn much faster and more reliably than the original online LSPI. [less ▲]

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See detailExploiting SNP Correlations within Random Forest for Genome-Wide Association Studies
Botta, Vincent ULg; Louppe, Gilles ULg; Geurts, Pierre ULg et al

in PLoS ONE (2014)

The primary goal of genome-wide association studies (GWAS) is to discover variants that could lead, in isolation or in combination, to a particular trait or disease. Standard approaches to GWAS, however ... [more ▼]

The primary goal of genome-wide association studies (GWAS) is to discover variants that could lead, in isolation or in combination, to a particular trait or disease. Standard approaches to GWAS, however, are usually based on univariate hypothesis tests and therefore can account neither for correlations due to linkage disequilibrium nor for combinations of several markers. To discover and leverage such potential multivariate interactions, we propose in this work an extension of the Random Forest algorithm tailored for structured GWAS data. In terms of risk prediction, we show empirically on several GWAS datasets that the proposed T-Trees method significantly outperforms both the original Random Forest algorithm and standard linear models, thereby suggesting the actual existence of multivariate non-linear effects due to the combinations of several SNPs. We also demonstrate that variable importances as derived from our method can help identify relevant loci. Finally, we highlight the strong impact that quality control procedures may have, both in terms of predictive power and loci identification. [less ▲]

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See detailExploiting Socially-Generated Side Information in Dimensionality Reduction
Marcos Alvarez, Alejandro ULg; Yamada, Makoto; Kimura, Akisato

in Proceedings of the 2nd International Workshop on Socially-Aware Multimedia (2013, October)

In this paper, we show how side information extracted from socially-curated data can be used within a dimensionality reduction method and to what extent this side information is beneficial to several ... [more ▼]

In this paper, we show how side information extracted from socially-curated data can be used within a dimensionality reduction method and to what extent this side information is beneficial to several tasks such as image classification, data visualization and image retrieval. The key idea is to incorporate side information of an image into a dimensionality reduction method. More specifically, we propose a dimensionality reduction method that can find an embedding transformation so that images with similar side information are close in the embedding space. We introduce three types of side information derived from user behavior. Through experiments on images from Pinterest, we show that incorporating socially-generated side information in a dimensionality reduction method benefits several image-related tasks such as image classification, data visualization and image retrieval. [less ▲]

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See detailExploiting the Burkholderia pseudomallei acute phase antigen BPSL2765 for structure-based epitope discovery/design in structural vaccinology.
Gourlay, Louise J.; Peri, Claudio; Ferrer-Navarro, Mario et al

in Chemistry & biology (2013), 20(9), 1147-56

We solved the crystal structure of Burkholderia pseudomallei acute phase antigen BPSL2765 in the context of a structural vaccinology study, in the area of melioidosis vaccine development. Based on the ... [more ▼]

We solved the crystal structure of Burkholderia pseudomallei acute phase antigen BPSL2765 in the context of a structural vaccinology study, in the area of melioidosis vaccine development. Based on the structure, we applied a recently developed method for epitope design that combines computational epitope predictions with in vitro mapping experiments and successfully identified a consensus sequence within the antigen that, when engineered as a synthetic peptide, was selectively immunorecognized to the same extent as the recombinant protein in sera from melioidosis-affected subjects. Antibodies raised against the consensus peptide were successfully tested in opsonization bacterial killing experiments and antibody-dependent agglutination tests of B. pseudomallei. Our strategy represents a step in the development of immunodiagnostics, in the production of specific antibodies and in the optimization of antigens for vaccine development, starting from structural and physicochemical principles. [less ▲]

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See detailExploiting the combination of natural and genetically engineered resistance to cassava mosaic and cassava brown streak viruses impacting cassava production in Africa.
Vanderschuren, Hervé ULg; Moreno, Isabel; Anjanappa, Ravi B. et al

in PloS one (2012), 7(9), 45277

Cassava brown streak disease (CBSD) and cassava mosaic disease (CMD) are currently two major viral diseases that severely reduce cassava production in large areas of Sub-Saharan Africa. Natural resistance ... [more ▼]

Cassava brown streak disease (CBSD) and cassava mosaic disease (CMD) are currently two major viral diseases that severely reduce cassava production in large areas of Sub-Saharan Africa. Natural resistance has so far only been reported for CMD in cassava. CBSD is caused by two virus species, Cassava brown streak virus (CBSV) and Ugandan cassava brown streak virus (UCBSV). A sequence of the CBSV coat protein (CP) highly conserved between the two virus species was used to demonstrate that a CBSV-CP hairpin construct sufficed to generate immunity against both viral species in the cassava model cultivar (cv. 60444). Most of the transgenic lines showed high levels of resistance under increasing viral loads using a stringent top-grafting method of inoculation. No viral replication was observed in the resistant transgenic lines and they remained free of typical CBSD root symptoms 7 month post-infection. To generate transgenic cassava lines combining resistance to both CBSD and CMD the hairpin construct was transferred to a CMD-resistant farmer-preferred Nigerian landrace TME 7 (Oko-Iyawo). An adapted protocol allowed the efficient Agrobacterium-based transformation of TME 7 and the regeneration of transgenic lines with high levels of CBSV-CP hairpin-derived small RNAs. All transgenic TME 7 lines were immune to both CBSV and UCBSV infections. Further evaluation of the transgenic TME 7 lines revealed that CBSD resistance was maintained when plants were co-inoculated with East African cassava mosaic virus (EACMV), a geminivirus causing CMD. The innovative combination of natural and engineered virus resistance in farmer-preferred landraces will be particularly important to reducing the increasing impact of cassava viral diseases in Africa. [less ▲]

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See detailExploiting the use of DC SCOPF approximation to improve iterative AC SCOPF algorithms
Marano Marcolini, Alejandro; Capitanescu, Florin ULg; Jose Luis, Martinez Ramos et al

in IEEE Transactions on Power Systems (2012), 27(3), 1459-1466

This paper focuses on improving the solution techniques for the AC SCOPF problem of active power dispatch by using the DC SCOPF approximation within the SCOPF algorithm. Our approach brings two benefits ... [more ▼]

This paper focuses on improving the solution techniques for the AC SCOPF problem of active power dispatch by using the DC SCOPF approximation within the SCOPF algorithm. Our approach brings two benefits compared to benchmark SCOPF algorithms: it speeds-up the solution of an iterative AC SCOPF algorithm thanks to a more efficient identification of binding contingencies, and allows improving the objective by an appropriate choice of a limited number of corrective actions for each contingency. The proposed approach is illustrated on 5 test systems of 60, 118, 300, 1203, and 2746 buses. [less ▲]

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See detailExploiting tree-based variable importances to selectively identify relevant variables
Huynh-Thu, Vân Anh ULg; Wehenkel, Louis ULg; Geurts, Pierre ULg

in JMLR: Workshop and Conference Proceedings (2008), 4

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See detailExploiting tree-based variable importances to selectively identify relevant variables
Huynh-Thu, Vân Anh; Wehenkel, Louis ULg; Geurts, Pierre ULg

in Proc. of FSDM08, ECML/PKDD Workshop on New challenges for feature selection in data mining and knowledge discovery (2008)

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See detailExplorando a diversidade do comércio justo na economia social
Huybrechts, Benjamin ULg; Defourny, Jacques ULg

in Ciências Sociais Unisinos (2011), 47(1), 44-55

Organizações de comércio justo (CJ) têm sido tomadas como exemplo de empresas sociais (ES) há bastante tempo e têm contribuído para a formação do conceito de ES. O objetivo deste artigo é examinar mais ... [more ▼]

Organizações de comércio justo (CJ) têm sido tomadas como exemplo de empresas sociais (ES) há bastante tempo e têm contribuído para a formação do conceito de ES. O objetivo deste artigo é examinar mais profundamente, tanto no nível conceitual quanto empírico, até que ponto as organizações de CJ podem ser consideradas empresas sociais. Primeiramente, introduzimos diferentes perspectivas teóricas de ES e examinamos o CJ no contexto de cada uma destas perspectivas. Em um segundo momento, apresentamos um estudo empírico sobre empresas sociais de comércio justo (ESCJ) de quatro países europeus para ilustrar e aprofundar as ligações entre CJ e ES, tendo como foco os objetivos e as estruturas de governança destas ESCJs. Parece que todas estas ESCJs combinam, de alguma maneira, objetivos econômicos, sociais e, algumas vezes, também políticos. As ESCJs alinham-se, portanto, com a natureza de “objetivo híbrido” das ESs. A governança das ESCJs é também bem específica e frequentemente inovadora em termos de arquitetura organizacional e envolvimento dos parceiros (stakeholders). Algumas ESCJs estão mais próximas da abordagem europeia – participatória – da empresa social, enquanto outras estão mais próximas das abordagens americanas – individual. Por fim, as estruturas de governança das ESCJs parecem refletir muito bem o seu mix de objetivos. [less ▲]

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