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See detailFuture water quality monitoring: improving the balance between exposure and toxicity assessments of real-world pollutant mixtures
Altenburger, Rolf; Brack, Werner; Burgess, Robert M. et al

in Environmental Sciences Europe (2019), 31(1), 12

Environmental water quality monitoring aims to provide the data required for safeguarding the environment against adverse biological effects from multiple chemical contamination arising from anthropogenic ... [more ▼]

Environmental water quality monitoring aims to provide the data required for safeguarding the environment against adverse biological effects from multiple chemical contamination arising from anthropogenic diffuse emissions and point sources. Here, we integrate the experience of the international EU-funded project SOLUTIONS to shift the focus of water monitoring from a few legacy chemicals to complex chemical mixtures, and to identify relevant drivers of toxic effects. Monitoring serves a range of purposes, from control of chemical and ecological status compliance to safeguarding specific water uses, such as drinking water abstraction. Various water sampling techniques, chemical target, suspect and non-target analyses as well as an array of in vitro, in vivo and in situ bioanalytical methods were advanced to improve monitoring of water contamination. Major improvements for broader applicability include tailored sampling techniques, screening and identification techniques for a broader and more diverse set of chemicals, higher detection sensitivity, standardized protocols for chemical, toxicological, and ecological assessments combined with systematic evidence evaluation techniques. No single method or combination of methods is able to meet all divergent monitoring purposes. Current monitoring approaches tend to emphasize either targeted exposure or effect detection. Here, we argue that, irrespective of the specific purpose, assessment of monitoring results would benefit substantially from obtaining and linking information on the occurrence of both chemicals and potentially adverse biological effects. In this paper, we specify the information required to: (1) identify relevant contaminants, (2) assess the impact of contamination in aquatic ecosystems, or (3) quantify cause--effect relationships between contaminants and adverse effects. Specific strategies to link chemical and bioanalytical information are outlined for each of these distinct goals. These strategies have been developed and explored using case studies in the Danube and Rhine river basins as well as for rivers of the Iberian Peninsula. Current water quality assessment suffers from biases resulting from differences in approaches and associated uncertainty analyses. While exposure approaches tend to ignore data gaps (i.e., missing contaminants), effect-based approaches penalize data gaps with increased uncertainty factors. This integrated work suggests systematic ways to deal with mixture exposures and combined effects in a more balanced way, and thus provides guidance for future tailored environmental monitoring. [less ▲]

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See detailFuturistic Project Becoming a Reality: Self-Driving Cars in Luxembourg
Vukovich, Lilla UL; Vysotskaya, Volha UL

E-print/Working paper (2019)

Detailed reference viewed: 126 (20 UL)
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See detailFuzzy clustering with prototype extraction for census data analysis
Chertov, Oleg; Aleksandrova, Marharyta UL

in Soft Computing: State of the Art Theory and Novel Applications (2013)

Detailed reference viewed: 129 (6 UL)
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See detailFuzzy control of a drying process in sugar industry
Voos, Holger UL; Litz, Lothar; König, Harald

in The European Congress on Intelligent Techniques and Soft Computing EUFIT 1998 (1998)

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See detailFuzzy control system navigation using priority areas
Olivares Mendez, Miguel Angel UL; Campoy, P.; Martinez, C. et al

in Ruan, D (Ed.) COMPUTATIONAL INTELLIGENCE IN DECISION AND CONTROL (2008)

This paper presents an improvement for the software implementation (MOFS) of a user adaptive fuzzy control system for autonomous navigation of mobile robots in unknown environments. This improvement ... [more ▼]

This paper presents an improvement for the software implementation (MOFS) of a user adaptive fuzzy control system for autonomous navigation of mobile robots in unknown environments. This improvement consists of a priority areas definition where the environment is measured by a PLS laser sensor, in order to get a reduction in the number of fuzzy rules and also in the computational cost, and hence obtaining improvements in the trajectory. This system has been tested in a pioneer mobile robot and on a robotic wheelchair, odometry sensors are used to localize the robots and the goal positions. The system is able to drive the robots to their goal position avoiding static and dynamic obstacles, without using any pre-built map. This approach improves the way to measure the danger of the obstacles, the way to follow the walls of corridors and the detection of doors. These improvements reduce the zigzag effect of the previous system by making the trajectories significantly straighter and hence reducing the time to reach the goal position. [less ▲]

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See detailFuzzy Controller for UAV-Landing Task Using 3D-Position Visual Estimation
Olivares Mendez, Miguel Angel UL; Campoy; Martinez, Carol et al

in Proccedings of World Congress on Computational Intelligence (WCCI 2010) (2010)

This paper presents a Fuzzy Control application for a landing task of an Unmanned Aerial Vehicle, using the 3D-position estimation based on visual tracking of piecewise planar objects. This application ... [more ▼]

This paper presents a Fuzzy Control application for a landing task of an Unmanned Aerial Vehicle, using the 3D-position estimation based on visual tracking of piecewise planar objects. This application allows the UAV to land on scenarios in which it is only possible to use visual information to obtain the position of the vehicle. The use of the homography permits a realtime estimation of the UAV's pose with respect to a helipad using a monocular camera. Fuzzy Logic allows the definition of a model-free control system of the UAV. The Fuzzy controller analyzes the visual information to generate altitude commands for the UAV to develop the landing task. [less ▲]

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See detailFuzzy Logic Supported Consistency Management in DDVEs
Schloss, Hermann; Scholtes, Ingo; Botev, Jean UL et al

in Electronic Communications of the EASST (2009), 17

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See detailFuzzy Logic User Adaptive Navigation Control System For Mobile Robots In Unknown Environments
Olivares Mendez, Miguel Angel UL; Fernadez Madrigal, Juan Antonio

in Intelligent Signal Processing, 2007. WISP 2007. IEEE International Symposium on (2007, October)

This paper presents a software implementation of a user adaptive fuzzy control system for autonomous navigation in mobile robots for unknown environments. This system has been tested in a pioneer mobile ... [more ▼]

This paper presents a software implementation of a user adaptive fuzzy control system for autonomous navigation in mobile robots for unknown environments. This system has been tested in a pioneer mobile robot and on a robotic wheelchair, fitted with PLS laser sensor to detect the obstacles and odometry sensors for localization of robots and the goal positions. The system is able to drive the robots to their goal position avoiding static and dynamic obstacles, without using any pre-built map. Our approach learn from user behaviors in the way it can resolve different situations against obstacles or walls.We propose and implement two updates for the fuzzy system. For the implementation of the learning algorithm we use a weighting scheme giving a value for each fuzzy-rule, this value is based on the synapse-weight idea and represent the contribution of each rule in the system output. We also create of a more important sector in the definition of the fuzzy-variables, based on a statistics system that measure the uses of all the sets of the variables in order to contract the size of the rule-base. [less ▲]

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See detailFuzzy Neural Design of Power Systems Stabilizers
Jasim, Ibrahim UL

in Journal of Kerbala University (2010), 8(1), 333-345

This paper presents a new approach of designing the Power Systems Stabilizer (PSS) that is based on fuzzy neural system. Adaptive Network based Fuzzy Inference System (ANFIS) is utilized in constructing ... [more ▼]

This paper presents a new approach of designing the Power Systems Stabilizer (PSS) that is based on fuzzy neural system. Adaptive Network based Fuzzy Inference System (ANFIS) is utilized in constructing the Fuzzy Neural Power Systems Stabilizer (FNPSS). The employment of ANFIS enables the system avoiding defects caused when using fuzzy logic and neural networks individually in designing an efficient PSS. Single Machine Infinite Bus (SMIB) power system has been taken as a case study to evaluate the suggested strategy performance. Simulation results have been conducted to confirm the approach validity. [less ▲]

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See detailFuzzy oil drop model to interpret the structure of antifreeze proteins and their mutants
Banach, Mateusz; Prymula, Katarzyna; Jurkowski, Wiktor UL et al

in Journal of Molecular Modeling (2012), 18(1), 229-237

Mutations in proteins introduce structural changes and influence biological activity: the specific effects depend on the location of the mutation. The simple method proposed in the present paper is based ... [more ▼]

Mutations in proteins introduce structural changes and influence biological activity: the specific effects depend on the location of the mutation. The simple method proposed in the present paper is based on a two-step model of in silico protein folding. The structure of the first intermediate is assumed to be determined solely by backbone conformation. The structure of the second one is assumed to be determined by the presence of a hydrophobic center. The comparable structural analysis of the set of mutants is performed to identify the mutant-induced structural changes. The changes of the hydrophobic core organization measured by the divergence entropy allows quantitative comparison estimating the relative structural changes upon mutation. The set of antifreeze proteins, which appeared to represent the hydrophobic core structure accordant with "fuzzy oil drop" model was selected for analysis. [less ▲]

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See detailFuzzy-4D/RCS for Unmanned Aerial Vehicles
Olivares Mendez, Miguel Angel UL; Campoy, Pascual; Mondragon, Ivan F. et al

in BICS 2010 Conference on Brain-Inspired Cognitive Systems (2010, July)

Abstract This paper presents an improvement of the cognitive architecture, 4D/RCS, developed by the NIST. This improvement consist of the insertion of Fuzzy Logic cells (FLCs), in different parts and ... [more ▼]

Abstract This paper presents an improvement of the cognitive architecture, 4D/RCS, developed by the NIST. This improvement consist of the insertion of Fuzzy Logic cells (FLCs), in different parts and hierarchy levels of the architecture, and the adaptation of this architecture for Unmanned Aerial Vehicles (UAVs). This advance provides an improvement in the functionality of the system based on the uses of the Miguel Olivares’ Fuzzy Software for the definition of the FLCs and its adaptative learning algorithm. These adaptative-FLCs contribute with the reduction of the uncertainty in the data sensor adquisition, a more adaptative behavior of the system to the real world and the reduction of the computational cost in the decision making. [less ▲]

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See detailDer Fußball auf der Liste und im Free-TV - noch immer ein Entscheidungsprivileg der Mitgliedstaaten
Cole, Mark UL

in Europäische Zeitschrift für Wirtschaftsrecht = European Journal of Business Law = Revue Européenne de Droit Economique (2011), 22. Jahrgang(11/2011), 425-428

Detailed reference viewed: 68 (2 UL)
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See detailDie Fußball-WM, Fans und Identitätsdiskurse in Luxemburger RTL-Reportagen (1990-2006)
Scuto, Denis UL

Scientific Conference (2018, June 22)

Detailed reference viewed: 40 (3 UL)
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See detailG protein activation: a receptor-independent mode of action for cationic amphiphilic neuropeptides and venom peptides
Mousli, M.; Bueb, Jean-Luc UL; Bronner, C. et al

in Trends in Pharmacological Sciences (1990), 11(9), 358-62

The neuropeptide substance P, the venom peptide mastoparan and the synthetic polyamine compound 48/80 activate rat peritoneal mast cells, leading to rapid histamine release by exocytosis. Although these ... [more ▼]

The neuropeptide substance P, the venom peptide mastoparan and the synthetic polyamine compound 48/80 activate rat peritoneal mast cells, leading to rapid histamine release by exocytosis. Although these effects are inhibited by pertussis toxin and involve a transient increase in IP3, no selective membrane receptors have been identified. However, it has recently been shown that these compounds activate G proteins in vitro. Here Yves Landry and colleagues discuss the proposal that direct activation of G protein is the physiological mechanism of action of substance P on rat peritoneal mast cells, this mechanism being mimicked by mastoparan and 48/80, and possibly by other cationic amphiphilic peptides such as kinins. These compounds might be of help in defining the interaction between membrane receptors and G proteins. [less ▲]

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See detailG wie Gugel
Heimböckel, Dieter UL

Article for general public (2012)

Detailed reference viewed: 69 (0 UL)
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See detailG-DNA – a highly efficient multi-GPU/MPI tool for aligning nucleotide reads
Gawron, Piotr UL; Frohmberg, W; Kierzynka, M et al

in Bulletin of the Polish Academy of Sciences. Technical Sciences (2014)

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See detailG-proteins as targets for non-immunological histamine releasers
Mousli, M.; Bueb, Jean-Luc UL; Rouot, B. et al

in Agents and Actions (1991), 33(1-2), 81-3

The molecular mechanism of action of several non-immunological histamine releasers has been investigated using pertussis toxin which interfers, via ADP-ribosylation, with some G-proteins. Pertussis toxin ... [more ▼]

The molecular mechanism of action of several non-immunological histamine releasers has been investigated using pertussis toxin which interfers, via ADP-ribosylation, with some G-proteins. Pertussis toxin (100 ng/ml) inhibited histamine release induced by compound 48/80, substance P, mastoparan, peptide 401, bradykinin and spermine showing that a G-protein sensitive to pertussis toxin was involved in the non-immunological histamine release. All these compounds directly activate purified G-proteins. The sensitivity to pertussis toxin of this direct stimulatory effect was demonstrated for compound 48/80, mastoparan and substance P. Altogether these results suggest that a direct activation of G-protein might be the molecular mechanism of action of histamine secretagogues acting through a pertussis toxin sensitive G-protein and in this way mimic agonist-ligand receptor interaction. [less ▲]

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See detailG72 and its association with major depression and neuroticism in large population-based groups from Germany
Rietschel, M.; Beckmann, L.; Strohmaier, J. et al

in American Journal of Psychiatry (2008), 165(6), 753-762

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See detailGaAs nanowhiskers for femtosecond photodetectors and THz emitters
Mikulics, Martin; Zhang, J.; Sobolewski, Roman et al

in ASDAM 2012, The Ninth International Conference on Advanced Semiconductor Devices and Microsystems (2012)

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See detailGaAs photodetectors prepared by high-energy and high-dose nitrogen implantation
Mikulics, Martin; Marso, Michel UL; Mantl, Siegfried et al

in Applied Physics Letters (2006), 89

The authors report on the fabrication and characterization of photodetectors based on nitrogen-ion-implanted GaAs and the annealing dynamics in these devices. An energy of 400 keV was used to implant N ... [more ▼]

The authors report on the fabrication and characterization of photodetectors based on nitrogen-ion-implanted GaAs and the annealing dynamics in these devices. An energy of 400 keV was used to implant N ions in a GaAs substrate at an ion concentration of 1 1016 cm−2. Dark current measurements as well as measurements under illumination show that the material properties rapidly change during the annealing process. Photodetectors based on nitrogen-implanted GaAs materials with annealing temperatures up to 400 °C exhibit a subpicosecond carrier lifetime up to 0.6 ps. These properties make nitrogen-ion-implanted GaAs an ideal material for ultrafast photodetectors, as alternative to low-temperature-grown GaAs. [less ▲]

Detailed reference viewed: 97 (1 UL)