Browse ORBi by ORBi project The Open Access movement
ORBi is a project of

 Browsing Complete repository Arts & humanities   Archaeology   Art & art history   Classical & oriental studies   History   Languages & linguistics   Literature   Performing arts   Philosophy & ethics   Religion & theology   Multidisciplinary, general & others Business & economic sciences   Accounting & auditing   Production, distribution & supply chain management   Finance   General management & organizational theory   Human resources management   Management information systems   Marketing   Strategy & innovation   Quantitative methods in economics & management   General economics & history of economic thought   International economics   Macroeconomics & monetary economics   Microeconomics   Economic systems & public economics   Social economics   Special economic topics (health, labor, transportation…)   Multidisciplinary, general & others Engineering, computing & technology   Aerospace & aeronautics engineering   Architecture   Chemical engineering   Civil engineering   Computer science   Electrical & electronics engineering   Energy   Geological, petroleum & mining engineering   Materials science & engineering   Mechanical engineering   Multidisciplinary, general & others Human health sciences   Alternative medicine   Anesthesia & intensive care   Cardiovascular & respiratory systems   Dentistry & oral medicine   Dermatology   Endocrinology, metabolism & nutrition   Forensic medicine   Gastroenterology & hepatology   General & internal medicine   Geriatrics   Hematology   Immunology & infectious disease   Laboratory medicine & medical technology   Neurology   Oncology   Ophthalmology   Orthopedics, rehabilitation & sports medicine   Otolaryngology   Pediatrics   Pharmacy, pharmacology & toxicology   Psychiatry   Public health, health care sciences & services   Radiology, nuclear medicine & imaging   Reproductive medicine (gynecology, andrology, obstetrics)   Rheumatology   Surgery   Urology & nephrology   Multidisciplinary, general & others Law, criminology & political science   Civil law   Criminal law & procedure   Criminology   Economic & commercial law   European & international law   Judicial law   Metalaw, Roman law, history of law & comparative law   Political science, public administration & international relations   Public law   Social law   Tax law   Multidisciplinary, general & others Life sciences   Agriculture & agronomy   Anatomy (cytology, histology, embryology...) & physiology   Animal production & animal husbandry   Aquatic sciences & oceanology   Biochemistry, biophysics & molecular biology   Biotechnology   Entomology & pest control   Environmental sciences & ecology   Food science   Genetics & genetic processes   Microbiology   Phytobiology (plant sciences, forestry, mycology...)   Veterinary medicine & animal health   Zoology   Multidisciplinary, general & others Physical, chemical, mathematical & earth Sciences   Chemistry   Earth sciences & physical geography   Mathematics   Physics   Space science, astronomy & astrophysics   Multidisciplinary, general & others Social & behavioral sciences, psychology   Animal psychology, ethology & psychobiology   Anthropology   Communication & mass media   Education & instruction   Human geography & demography   Library & information sciences   Neurosciences & behavior   Regional & inter-regional studies   Social work & social policy   Sociology & social sciences   Social, industrial & organizational psychology   Theoretical & cognitive psychology   Treatment & clinical psychology   Multidisciplinary, general & others      by title 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z or enter first few letters:    OK Showing results 83481 to 83500 of 107918     4170 4171 4172 4173 4174 4175 4176 4177 4178 4179 4180     Qu'est-ce que le français langue seconde?Defays, Jean-Marc ; Denyer, MoniqueScientific conference (1997, November)Detailed reference viewed: 33 (9 ULg) Qu'est-ce que le moyen age?Kurth, Godefroid Book published by Bloud (n.d.)Detailed reference viewed: 32 (4 ULg) Qu'est-ce que les digital humanities?Berra, Aurélien; Dozo, Björn-Olav ; Mounier, PierreBook published by OpenEdition Press (in press)Detailed reference viewed: 86 (10 ULg) Qu’est-ce que les logiciels libres ?Lejeune, Christophe Conference (2008, September 19)Detailed reference viewed: 6 (1 ULg) Qu’est-ce qui fait marcher l’autorité ? A propos d’une prétendue crise dans l’éducationJanvier, Antoine ; Caeymaex, Florence Article for general public (2012)Detailed reference viewed: 33 (4 ULg) Qu'est-ce qui fonde le destin d'un homme?: Jean Mélon,Prix SZONDI 2008Stassart, Martine in Szondiana (2009), 29(1(Spring)), 59-70Le destin scientifique de Jean Mélon, principal disciple, avec Jacques SCHOTTE, de Léopold SZONDI (1893-1986) et continuateur de son oeuvre.Detailed reference viewed: 70 (17 ULg) Qu'il est long le chemin vers l'équité...Lafontaine, Dominique in L'école, dans quel(s) sens ? Actes du 2e Congrès des chercheurs en éducation, Louvain-la-Neuve, 12-13 mars 2002 (2003)Detailed reference viewed: 11 (1 ULg) Qu'importe le vin, pourvu qu'on ait l'ivree: la consommation de vin de palme en foret dense humide du Cameroun.Vermeulen, Cédric ; Mikam, E.in Parcs & Réserves (1999), 54(2), Detailed reference viewed: 11 (6 ULg) Qu'y a-t-il autour de Neptune?Manfroid, Jean ; Haefner, R.; Bouchet, P.Article for general public (1986)Not AvailableDetailed reference viewed: 6 (1 ULg) A Quadrangular Shell Finite Element for Concrete and Steel Structures Subjected to FireTalamona, Didier; Franssen, Jean-Marc in Journal of Fire Protection Engineering (2005), 15Detailed reference viewed: 26 (1 ULg) A Quadratic Programming Framework for Constrained and Robust Jet Engine Health MonitiringBorguet, Sébastien ; Léonard, Olivier in Proceedings of the 2nd European Conference on Aerospace Sciences (2007)Kalman filters are largely used in the jet engine community for condition monitoring purpose. This algorithm gives a good estimate of the engine condition provided that the residuals between the model ... [more ▼]Kalman filters are largely used in the jet engine community for condition monitoring purpose. This algorithm gives a good estimate of the engine condition provided that the residuals between the model prediction and the measurements are zero-mean, Gaussian random variables. In the case of sensor faults, this assumption does not hold anymore and consequently the diagnosis is spoiled. This contribution presents a recursive estimation algorithm based on a Quadratic Programming formulation which provides robustness against sensor faults and allows constraints on the health parameters to be specified. The improvements in estimation accuracy brought by this new algorithm are illustrated by a series of typical test-cases that may be encountered on current turbofan engines. [less ▲]Detailed reference viewed: 9 (2 ULg) A Quadratic Programming Framework for Constrained and Robust Jet EngineBorguet, Sébastien ; Léonard, Olivier in EUCASS Advances in Aerospace Sciences : Propulsion Physics (2009)Kalman filters are largely used in the jet engine community for condition monitoring purpose. This algorithm gives a good estimate of the engine condition provided that the residuals between the model ... [more ▼]Kalman filters are largely used in the jet engine community for condition monitoring purpose. This algorithm gives a good estimate of the engine condition provided that the residuals between the model prediction and the measurements are zero-mean, Gaussian random variables. In the case of sensor faults, this assumption does not hold anymore and consequently the diagnosis is spoiled. This contribution presents a recursive estimation algorithm based on a Quadratic Programming formulation which provides robustness against sensor faults and allows constraints on the health parameters to be specified. The improvements in estimation accuracy brought by this new algorithm are illustrated by a series of typical test-cases that may be encountered on current turbofan engines. [less ▲]Detailed reference viewed: 24 (8 ULg) Quadratic reformulations of nonlinear binary optimization problemsCrama, Yves Conference (2014, January 30)Detailed reference viewed: 15 (0 ULg) Quadratic reformulations of nonlinear binary optimization problemsCrama, Yves Conference (2014, January 06)Detailed reference viewed: 5 (1 ULg) Quadratic reformulations of nonlinear binary optimization problemsCrama, Yves Conference (2013, July 01)We consider the problem of minimizing a pseudo-Boolean function f(x), i.e., a real-valued function of 0-1 variables. Several authors have recently proposed to reduce this problem to the quadratic case by ... [more ▼]We consider the problem of minimizing a pseudo-Boolean function f(x), i.e., a real-valued function of 0-1 variables. Several authors have recently proposed to reduce this problem to the quadratic case by expressing f(x) as min{g(x,y): y in {0,1}}, where g is a quadratic function of x and of additional binary variables y. We establish lower and upper bounds on the number of additional y-variables needed in such a reformulation, both for the general case and for the special case of symmetricfunctions like positive or negative monomials, k-out-of-n majority functions, or parity functions. [less ▲]Detailed reference viewed: 21 (1 ULg) Quadratization of pseudo-Boolean functionsCrama, Yves Scientific conference (2013, June 20)Detailed reference viewed: 3 (0 ULg) Quadratization of symmetric pseudo-Boolean functionsAnthony, Martin; Boros, Endre; Crama, Yves et alE-print/Working paper (2013)A pseudo-Boolean function is a real-valued function $f(x)=f(x_1,x_2,\ldots,x_n)$ of $n$ binary variables; that is, a mapping from $\{0,1\}^n$ to ${\bbr}$. For a pseudo-Boolean function $f(x)$ on $\{0,1 ... [more ▼]A pseudo-Boolean function is a real-valued function$f(x)=f(x_1,x_2,\ldots,x_n)$of$n$binary variables; that is, a mapping from$\{0,1\}^n$to${\bbr}$. For a pseudo-Boolean function$f(x)$on$\{0,1\}^n$, we say that$g(x,y)$is a quadratization of$f$if$g(x,y)$is a quadratic polynomial depending on$x$and on$m$auxiliary binary variables$y_1,y_2,\ldots,y_m$such that$f(x)= \min \{ g(x,y) : y \in \{0,1\}^m \} $for all$x \in \{0,1\}^n$. By means of quadratizations, minimization of$f$is reduced to minimization (over its extended set of variables) of the quadratic function$g(x,y)$. This is of some practical interest because minimization of quadratic functions has been thoroughly studied for the last few decades, and much progress has been made in solving such problems exactly or heuristically. A related paper initiated a systematic study of the minimum number of auxiliary$y$-variables required in a quadratization of an arbitrary function$f$(a natural question, since the complexity of minimizing the quadratic function$g(x,y)$depends, among other factors, on the number of binary variables). In this paper, we determine more precisely the number of auxiliary variables required by quadratizations of \emph{symmetric} pseudo-Boolean functions$f(x)$, those functions whose value depends only on the Hamming weight of the input$x\$ (the number of variables equal to 1). [less ▲]Detailed reference viewed: 37 (2 ULg) Quadratization of symmetric pseudo-Boolean functionsCrama, Yves Conference (2013, April)We consider the problem of minimizing an arbitrary pseudo-Boolean function f(x), that is, a real-valued function of 0-1 variables. In recent years, several authors have proposed to reduce this problem to ... [more ▼]We consider the problem of minimizing an arbitrary pseudo-Boolean function f(x), that is, a real-valued function of 0-1 variables. In recent years, several authors have proposed to reduce this problem to the quadratic case by expressing f(x) as min{g(x,y):y∈{0,1}^m}, where g(x,y) is a quadratic pseudo-Boolean function of x and of additional binary variables y. We say that g(x,y) is a quadratization of f. In this talk, we investigate the number of additional variables needed in a quadratization when f is a symmetric function of the x-variables. The cases where f is either a positive or a negative monomial are of particular interest, but some of our techniques also extend to more complex functions, like k-out-of-n or parity functions. Joint work with Martin Anthony, Endre Boros and Aritanan Gruber [less ▲]Detailed reference viewed: 18 (0 ULg) Quadriceps and Hamstring Isokinetic Strength and Electromyographic Activity Measured at Different Ranges of Motion: A Reproducibility StudyCroisier, Jean-Louis ; Malnati, Michael; Reichard, Leon B et alin Journal of Electromyography & Kinesiology (2007), 17(4), 484-92Isokinetic strength measurements of the quadriceps and hamstring that are commonly conducted using a 90 degrees range of motion (RoM) may involve some risk to specific knee patient groups. Testing these ... [more ▼]Isokinetic strength measurements of the quadriceps and hamstring that are commonly conducted using a 90 degrees range of motion (RoM) may involve some risk to specific knee patient groups. Testing these muscles at a much shorter RoM may reduce the risk but in order to render this method clinically acceptable the reproducibility of the derived test findings has to be established. Therefore the main objective of this study was to assess the reproducibility of isokinetic peak torque and normalized EMG scores of these muscles based on 90 degrees (0-90 degrees flexion, LR) and three successive short RoMs: 0-30 degrees (SR1), 30-60 degrees (SR2) and 60-90 degrees (SR3). Eight healthy subjects were tested three times with a 2 week between-session interval. All tests were performed on the dominant limb and consisted of maximal concentric and eccentric exertions. The velocities applied were 90 degrees /s for LR and 30 degrees /s for each of the SRs. Findings indicated no between-session improvement in strength. Based on the coefficient of variation the measurement error for all isokinetic strength scores remained stable throughout the testing sessions ranging 0.6-13.9% with the absolute majority of instances less than 10%. The reproducibility of the EMG scores was poorer ranging 1.5-25% and 0.5-19% for the quadriceps and hamstring, respectively. It is concluded that testing of knee muscles at short (30 degrees ) RoMs does not compromise the reproducibility of the strength or EMG scores derived from the commonly used RoM of 90 degrees . However, whereas strength was reproducible to within the accepted clinical standards, the corresponding EMG scores were characterized by a wider error band. [less ▲]Detailed reference viewed: 71 (3 ULg) Quadripulse Repetitive Transcranial Magnetic Stimulation on Visual Cortex for Chronic Migraine Prevention: A Pilot-TrialSasso d'Elia, Tullia; Vigano, Alessandro; Fataki, Michel et alin Cephalalgia : An International Journal of Headache (2013), 33(8), 49Detailed reference viewed: 5 (0 ULg)