Search results for "1103"

showing 10 items of 538 documents

Existence of fixed point for GP(Λ;Θ)-contractive mappings in GP-metric spaces

2017

We combine some classes of functions with a notion of hybrid $GP_{(\Lambda,\Theta )}$ - $H$ - $F$ - contractive mapping for establishing some  fixed point results in the setting of $GP$-metric spaces. An illustrative example  supports the new theory.

010101 applied mathematicsDiscrete mathematicsMetric space021103 operations researchGeneral Mathematics0211 other engineering and technologies02 engineering and technology0101 mathematicsFixed pointLambda01 natural sciencesMathematicsFilomat
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The Acoustic Wave Behavior Within the PEA Cell for Space Charge Measurement

2018

In order to evaluate the acoustic wave behavior within the Pulsed Electro Acoustic (PEA) cell, a simulation model has been developed in this work. The model, implemented in Matlab environment, is based on the analogy between acoustic and electrical quantities. Therefore, it was possible to model the PEA cell as cascade connected lossy transmission lines. The model has been validated theoretically by making a comparison with a simulation result found in literature. The experimental validation has also been made by using the PEA cell of the LEPRE high voltage lab. In addition, four graphs have been realized. Two of them can be used to establish in easy and fast way to obtain the minimum groun…

010302 applied physicsPhysics021103 operations researchPEA methodAcousticsElectronic Optical and Magnetic Material0211 other engineering and technologiesPEA modelHigh voltage02 engineering and technologyAcoustic wave01 natural sciencesSignalSpace chargeSettore ING-IND/31 - ElettrotecnicaCascade0103 physical sciencesElectrodeReflection phenomenonReflection (physics)Electrical and Electronic EngineeringMATLABcomputercomputer.programming_language
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Controlled feeding experiments with diets of different abrasiveness reveal slow development of mesowear signal in goats ( Capra aegagrus hircus )

2018

ABSTRACT Dental mesowear is applied as a proxy to determine the general diet of mammalian herbivores based on tooth-cusp shape and occlusal relief. Low, blunt cusps are considered typical of grazers and high, sharp cusps typical of browsers. However, how internal or external abrasives impact mesowear, and the time frame the wear signature takes to develop, still need to be explored. Four different pelleted diets of increasing abrasiveness (lucerne, grass, grass and rice husks, and grass, rice husks and sand) were fed to four groups of a total of 28 adult goats in a controlled feeding experiment over a 6-month period. Tooth morphology was captured by medical CT scans at the beginning and end…

0106 biological sciences010506 paleontology10253 Department of Small Animals1109 Insect ScienceEvolutionPhysiologyCapra aegagrusAquatic ScienceGeneral diet010603 evolutionary biology01 natural sciencesMesowearAnimal scienceTime frameBehavior and Systematicsstomatognathic system1312 Molecular BiologyMolecular BiologyEcology Evolution Behavior and Systematics0105 earth and related environmental sciences2. Zero hungerHerbivoreCrania630 Agriculture1104 Aquatic ScienceEcologybiology1314 Physiologybiology.organism_classificationTooth morphology1105 Ecology Evolution Behavior and SystematicsTooth wearInsect Science11404 Department of Clinical Diagnostics and Services570 Life sciences; biologyAnimal Science and Zoology1103 Animal Science and ZoologyThe Journal of Experimental Biology
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Comment on “A simple way to incorporate uncertainty and risk into forest harvest scheduling”

2017

In a recent research article, Robinson et al. (2016) described a method of estimating uncertainty of harvesting outcomes by analyzing the historical yield to the associated prediction for a large number of harvest operations. We agree with this analysis, and consider it a useful tool to integrate estimates of uncertainty into the optimization process. The authors attempt to manage the risk using two different methods, based on deterministic integer linear programming. The first method focused on maximizing the 10th quantile of the distribution of predicted volume subject to area constraint, while the second method focused on minimizing the variation of total quantity of volume harvested sub…

0106 biological sciences021103 operations researchOperations researchComputer science0211 other engineering and technologiesDownside riskScheduling (production processes)Forestry02 engineering and technologyManagement Monitoring Policy and Lawepävarmuus01 natural sciencesStochastic programmingExpected shortfallstochastic programmingConditional Value at Riskta1181Research articleuncertaintyInteger programming010606 plant biology & botanyNature and Landscape ConservationQuantileriskForest Ecology and Management
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Technical Note on the quality of DNA sequencing for the molecular characterisation of genetically modified plants

2018

Abstract As part of the risk assessment (RA) requirements for genetically modified (GM) plants, according to Regulation (EU) No 503/2013 and the EFSA guidance on the RA of food and feed from GM plants (EFSA GMO Panel, 2011), applicants need to perform a molecular characterisation of the DNA sequences inserted in the GM plant genome. The European Commission has mandated EFSA to develop a technical note to the applicants on, and checking of, the quality of the methodology, analysis and reporting covering complete sequencing of the insert and flanking regions, insertion site analysis of the GM event, and generational stability and integrity. This Technical Note puts together requirements and r…

0106 biological sciences0301 basic medicineVeterinary (miscellaneous)[SDV]Life Sciences [q-bio]2405 Parasitologymolecularcharacterisationnext‐generation sequencingContext (language use)Plant ScienceComputational biologyGenetically modified cropsBiology01 natural sciencesMicrobiologyGenomeInsert (molecular biology)DNA sequencing03 medical and health sciencessymbols.namesake1110 Plant Sciencegenetically modified organismgenetic stabilityDNA sequencing1106 Food ScienceSanger sequencinggenetically modified organisms2404 Microbiologyrisk assessmentmolecular characterisation10079 Institute of Veterinary Pharmacology and ToxicologyGenetically modified organism3401 Veterinary (miscellaneous)Scientific Opinion030104 developmental biologyNGSsymbols570 Life sciences; biologyAnimal Science and ZoologyParasitologynext-generation sequencing1103 Animal Science and Zoology010606 plant biology & botanyFood ScienceVerification and validation
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Dental microwear texture gradients in guinea pigs reveal that material properties of the diet affect chewing behaviour

2021

ABSTRACT Dental microwear texture analysis (DMTA) is widely used for diet inferences in extant and extinct vertebrates. Often, a reference tooth position is analysed in extant specimens, while isolated teeth are lumped together in fossil datasets. It is therefore important to test whether dental microwear texture (DMT) is tooth position specific and, if so, what causes the differences in wear. Here, we present results from controlled feeding experiments with 72 guinea pigs, which received either fresh or dried natural plant diets of different phytolith content (lucerne, grass, bamboo) or pelleted diets with and without mineral abrasives (frequently encountered by herbivorous mammals in natu…

0106 biological sciencesAbrasion (dental)10253 Department of Small Animals1109 Insect SciencePhysiologyEvolutionGuinea PigsBiologyAquatic Science010603 evolutionary biology01 natural sciences03 medical and health sciencesPosterior ToothAnimal sciencestomatognathic systemBehavior and Systematicsmedicine1312 Molecular BiologyAnimalsMasticationMolecular BiologyEcology Evolution Behavior and SystematicsAnterior teeth030304 developmental biology0303 health sciencesHerbivore630 Agriculture1104 Aquatic ScienceEcology1314 Physiologymedicine.diseaseAnimal FeedDietBite force quotientstomatognathic diseases1105 Ecology Evolution Behavior and SystematicsPhytolithTooth wearInsect ScienceMastication570 Life sciences; biologyAnimal Science and ZoologyTooth Wear1103 Animal Science and ZoologyTooth
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Dust and grit matter: abrasives of different size lead to opposing dental microwear textures in experimentally fed sheep (Ovis aries)

2020

ABSTRACT External abrasives ingested along with the herbivore diet are considered main contributors to dental wear, though how the different sizes and concentrations of these abrasives influence wear remains unclear. Dental microwear texture analysis (DMTA) is an established method for dietary reconstruction which describes a tooth9s surface topography on a micrometre scale. The method has yielded conflicting results as to the effect of external abrasives. In the present study, a feeding experiment was performed on sheep (Ovis aries) fed seven diets of different abrasiveness. Our aim was to discern the individual effects of size (4, 50 and 130 µm) and concentration (0%, 4% and 8% of dry mat…

0106 biological sciencesMolar010506 paleontology10253 Department of Small Animals1109 Insect SciencePhysiologyEvolutionRuminantDental WearAquatic Science010603 evolutionary biology01 natural sciencesTexture (geology)MicrotextureAnimal scienceBehavior and Systematics1312 Molecular BiologyAnimalsGritOvisMolecular BiologySheep DomesticEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesFeeding experimentbiology630 Agriculture1104 Aquatic ScienceEcologyChemistryAbrasiveTooth wearDust1314 Physiologybiology.organism_classificationAbrasivesAnimal FeedDiet1105 Ecology Evolution Behavior and SystematicsTooth wearInsect Science570 Life sciences; biologyParticulate MatterAnimal Science and Zoology1103 Animal Science and Zoology
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TOWARDS SMART MANUFACTURING WITH VIRTUAL FACTORY AND DATA ANALYTICS

2017

International audience; Virtual factory models can help improve manufacturing decision making when augmented with data analytics applications. Virtual factory models provide the capability of simulating real factories and generating realistic data streams at the desired level of resolution. Deeper insights can be gained and underlying relationships quantified by channeling the simulation output data to an external analytics tool. This paper describes integration of a virtual factory prototype with a neural network analytics application. The combined capability is used to create a neural network capable of predicting the expected cycle times for a small job shop. The capability can adapt by …

0209 industrial biotechnology021103 operations research020901 industrial engineering & automationBIG DATA0211 other engineering and technologiesComputerApplications_COMPUTERSINOTHERSYSTEMS[INFO]Computer Science [cs]02 engineering and technology[INFO] Computer Science [cs]
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Feasibility Analysis For Constrained Model Predictive Control Based Motion Cueing Algorithm

2019

International audience; This paper deals with motion control for an 8-degree-of-freedom (DOF) high performance driving simulator. We formulate a constrained optimal control that defines the dynamical behavior of the system. Furthermore, the paper brings together various methodologies for addressing feasibility issues arising in implicit model predictive control-based motion cueing algorithms.The implementation of different techniques is described and discussed subsequently. Several simulations are carried out in the simulator platform. It is observed that the only technique that can provide ensured closed-loop stability by assuring feasibility over all prediction horizons is a braking law t…

0209 industrial biotechnology021103 operations researchComputer scienceDriving simulationControl (management)0211 other engineering and technologiesStability (learning theory)Driving simulator02 engineering and technologyModélisation et simulation [Informatique]Motion controlOptimal control[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationAutomatique / Robotique [Sciences de l'ingénieur]Motion (physics)[SPI.AUTO]Engineering Sciences [physics]/AutomaticModel predictive controlAcceleration020901 industrial engineering & automationMotion Cueing AlgorithmAlgorithmModel Predictive Control
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Improving the Training Methods for Designers of Flexible Production Cells in Factories of the Future

2020

This work proposes a design method for flexible manufacturing systems (FMS). The method reduces the learning curve by helping employees to solve problems related to the design and optimization of the layout, operation and control of FMS, avoiding the drawbacks of current tools. The approach uses Domain Specific Modeling Languages (DSML) for specification of FMS. The paper presents the definition of the DSML and the implementation of the graphical modeling and simulation tool bringing important contributions to development of the domain through the use of constructions from categories theory for DSML specifications. This mathematical basis allows the definition of constraints to avoid supple…

0209 industrial biotechnology021103 operations researchComputer sciencebusiness.industryControl (management)0211 other engineering and technologiesDomain-specific modeling02 engineering and technologyPetri netTraining methodsDomain (software engineering)Modeling and simulation020901 industrial engineering & automationLearning curveProduction (economics)Software engineeringbusiness
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