Search results for "N2"

showing 10 items of 346 documents

Rodents and insectivores from the Lower Miocene (Agenian and Ramblian) of the Tudela Formation (Ebro Basin, Spain)

2012

The rodent and insectivore faunas of Agenian and Ramblian age from the Tudela Formation (Ebro Basin, Spain) are described. Four of the localities (CH1, CA1, CC1 and CA2) contain rodent remains of Agenian age (local zone Y), and three (CA3, CA3B and CA4) of Ramblian age (local zones Z and A). Typical Agenian taxa include Armantomys cf. bijmai (CH1), Eucricetodon cf. gerandianus (CA1), Peridyromys turbatus, Simplomys aff. aljaphi and Armantomys daamsi (CA2) and Eucricetodon aff. aquitanicus (CC1). On the other hand, some typical Ramblian taxa are Armantomys cf. parsani (CA3), Ligerimys aff. magnus and Pseudotheridomys sp. (CA4) and Prodryomys cf. brailloni (CA3B). The faunas are characterized…

Cuenca del EbroEbro BasinRodentbiologyEcologyMiocenoStratigraphyFaunaEspañaM1GeologyInsectivoreRodentiaInsectivoraMioceneStructural basinMN2Cuenca EbroMN3Taxonbiology.animalSpecies richnessFormación Tudela
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Deinococcus radiodurans' SRA-HNH domain containing protein Shp (Dr1533) is involved in faithful genome inheritance maintenance following DNA damage

2018

WOS:000452343100012; International audience; Background: Deinococcus radiodurans R1 (DR) survives conditions of extreme desiccation, irradiation and exposure to genotoxic chemicals, due to efficient DNA breaks repair, also through Mn2+ protection of DNA repair enzymes. Methods: Possible annotated domains of the DR1533 locus protein (Shp) were searched by bioinformatic analysis. The gene was cloned and expressed as fusion protein. Band-shift assays of Shp or the SRA and HNH domains were performed on oligonucleotides, genomic DNA from E. coif and DR. slip knock-out mutant was generated by homologous recombination with a kanamycin resistance cassette. Results: DR1533 contains an N-terminal SRA…

DNA RepairDNA cytosine-methylation; DNA damage; DR1533 locus; Genotoxic agents; Mn2+; SRA domain; Biophysics; Biochemistry; Molecular BiologyGenotoxic agents[SDV]Life Sciences [q-bio]DNA cytosine-methylationperspectiveSettore BIO/19 - Microbiologia GeneraleBiochemistrychemistry.chemical_compound0302 clinical medicineKanamycinCloning Molecularcytosine0303 health sciencesDR1533 locusbiologyChemistryGenotoxic agentuhrf1Mn(2+)Mn2+SRA domainDeinococcusrecognitionmanganese(ii)DNA BacterialDNA damageDNA repairoxidationUbiquitin-Protein LigasesBiophysicsSettore BIO/11 - Biologia Molecolareresistance03 medical and health sciencesBacterial ProteinsProtein DomainsDR1533 locuDrug Resistance BacterialEscherichia coliHumansfeaturesAmino Acid SequenceGeneMolecular Biology030304 developmental biologyOligonucleotideComputational BiologyDeinococcus radioduransDNA Methylationbiology.organism_classificationMolecular biologygenomic DNArepairMutationCCAAT-Enhancer-Binding ProteinsDNA damageHomologous recombination030217 neurology & neurosurgeryDNAGenome BacterialMutagens
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Adsorption dynamics of molecular nitrogen at an Fe(111) surface.

2017

We present an extensive theoretical study of N adsorption mechanisms on an Fe(111) surface. We combine the static analysis of a six-dimensional potential energy surface (6D-PES), based on ab initio density functional theory (DFT) calculations for the system, with quasi-classical trajectory (QCT) calculations to simulate the adsorption dynamics. There are four molecular adsorption states, usually called γ, δ, α, and ε, arising from our DFT calculations. We find that N adsorption in the γ-state is non-activated, while the threshold energy is associated with the entrance channel for the other three adsorption states. Our QCT calculations confirm that there are activated and nonactivated paths …

DYNAMICSADSORPTIONCiencias FísicasAb initioGeneral Physics and AstronomyThermodynamics02 engineering and technologyTrapping01 natural sciencesMolecular dynamicsAdsorption0103 physical sciencesN2/Fe(111)Physical and Theoretical Chemistry010306 general physicsComputingMilieux_MISCELLANEOUS[PHYS]Physics [physics]Range (particle radiation)ChemistrySURFACES021001 nanoscience & nanotechnologyThreshold energyAstronomíaPotential energy surfaceDensity functional theoryAtomic physics0210 nano-technologyCIENCIAS NATURALES Y EXACTASPhysical chemistry chemical physics : PCCP
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A comprehensive analysis for N2O mechanisms by advanced mathematical techniques

2018

Recent evaluation of the existing activated sludge models, incorporating nitrous oxide (N2O) formation, is only based on the capabilities and inabilities in describing experimental data under different conditions. This paper will present an advanced mathematical modeling framework (i.e. coupling global sensitivity, identifiability and uncertainty analysis) for a comprehensive analysis on the evaluation of the structural differences among three ammonia oxidizing bacteria (AOB) two-pathway models in combination with two heterotrophic denitrification models. The analysis will be performed based on experimental data from a lab-scale deammonification granular sequencing batch reactor operated un…

DeammonificationN2O global sensitivity identifiability model uncertaintySettore ICAR/03 - Ingegneria Sanitaria-AmbientaleASM
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High Nitrogen Removal in a Constructed Wetland Receiving Treated Wastewater in a Cold Climate

2018

Constructed wetlands provide cost-efficient nutrient removal, with minimal input of human labor and energy, and their number is globally increasing. However, in northern latitudes, wetlands are rarely utilized, because their nutrient removal efficiency has been questioned due to the cold climate. Here, we studied nutrient retention and nitrogen removal in a boreal constructed wetland (4-ha) receiving treated nitrogen-rich wastewater. On a yearly basis, most of the inorganic nutrients were retained by the wetland. The highest retention efficiency was found during the ice-free period, being 79% for ammonium-nitrogen (NH4+-N), 71% for nitrate-nitrogen (NO3--N), and 88% for phosphate-phosphorus…

Denitrification010504 meteorology & atmospheric sciencesconstructed wetlandNitrogenP REDUCTIONSta1172Wetlandjätevesi010501 environmental sciencesWaste Disposal Fluid01 natural scienceskosteikotNutrienttyppiilmastoEnvironmental ChemistryN2O PRODUCTIONTEMPERATUREwastewater1172 Environmental sciences219 Environmental biotechnology0105 earth and related environmental sciencesjäteveden käsittelygeographyjätevedenpuhdistamotgeography.geographical_feature_categoryDUAL NUTRIENT NFRESH-WATERANAMMOX PROCESScold climateGeneral ChemistryDENITRIFICATIONAMMONIUM15. Life on land6. Clean waterWastewater13. Climate actionPHOSPHORUS LIMITATIONWetlandsEnvironmental chemistryEUTROPHICATION1181 Ecology evolutionary biologyConstructed wetlandEnvironmental scienceSewage treatmentNitrificationhigh nitrogen removalEutrophicationEnvironmental Science and Technology
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N2O emission in maize-crops fertilized with pig slurry, matured pig manure or ammonium nitrate in Brittany

2008

International audience; N2O is a potent greenhouse gas and solutions have to be sought to reduce its emission from agriculture. This work evaluates N2O emission from maize-crop (Zea mays) fields submitted to different organic or mineral fertilizers (pig slurry, matured pig manure or ammonium nitrate) in Brittany (France). N2O emission was evaluated along a year in two experimental sites receiving 110 or 180 kg N ha−1 as ammonium nitrate or pig slurry and 180 or 132 kg N ha−1 as ammonium nitrate or matured pig manure at Champ Noel and Le Rheu experimental plots, respectively. N2O emission was evaluated by interpolation method of periodic fluxes on the field scale and by simulation with NOE a…

DenitrificationAmmonium nitrate010501 environmental sciencesengineering.material01 natural scienceschemistry.chemical_compoundREDUCTION DES GAZ A EFFET DE SERRENitrateAMMONIUM NITRATEAmmonium0105 earth and related environmental sciences[SDV.EE]Life Sciences [q-bio]/Ecology environmentEcology04 agricultural and veterinary sciencesDENITRIFICATIONequipment and suppliesManureRELATION SOL-PLANTE-ATMOSPHEREORGANIC FERTILIZERSOILAgronomychemistry13. Climate actionN2O EMISSIONSoil waterSIMULATION040103 agronomy & agricultureengineering0401 agriculture forestry and fisheriesAnimal Science and ZoologyFertilizerAgronomy and Crop ScienceOrganic fertilizer
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Mathematical modelling of greenhouse gas emissions from membrane bioreactors: A comprehensive comparison of two mathematical models.

2018

Abstract This paper compares two mathematical models (Model I and Model II) to predict greenhouse gases emission from a University Cape Town (UCT) – membrane bioreactor (MBR) plant. Model I considers N 2 O production only during denitrification. Model II takes into account the ammonia-oxidizing bacteria (AOB) formation pathways for N 2 O. Both models were calibrated adopting real data. Model comparison was performed in terms of (i) sensitivity analysis (ii) best fit and (iii) model prediction uncertainty. On average 6% of factors of Model I and 9% of Model II resulted to be important. In terms of best fit, Model II had a better capability of reproducing the measured data. The average effici…

DenitrificationEnvironmental EngineeringModel prediction0208 environmental biotechnologyBioreactorNitrous OxideSoil scienceBioengineering02 engineering and technology010501 environmental sciencesMembrane bioreactor01 natural sciencesN2O modellingGreenhouse GasesSouth AfricaBioreactorsNutrient removalBioreactorSensitivity (control systems)Waste Management and Disposal0105 earth and related environmental sciencesMathematicsWWTPMathematical modelSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleRenewable Energy Sustainability and the EnvironmentGeneral MedicineModels Theoretical020801 environmental engineeringGreenhouse gasGreenhouse GaseBioresource technology
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Comparison of Two Mathematical Models for Greenhouse Gas Emission from Membrane Bioreactors

2017

In this study two mathematical models (Model I and Model II), able to predict the nitrous oxide (N2O) and carbon dioxide (CO2) emission from an University Cape Town (UCT) – membrane bioreactor (MBR) plant, have been compared. Model I considers the N2O production only during the denitrification. Model II takes into account the two ammonia-oxidizing bacteria (AOB) formation pathways for N2O. Both models were calibrated adopting real data. Results highlight that Model II had a better capability of reproducing the measured data especially in terms of N2O model outputs. Indeed, the average efficiency related to the N2O model outputs was equal to 0.3 and 0.38 for Model I and Model II respectively.

DenitrificationSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleMathematical modelEnvironmental engineeringgreenhouse gases.Nitrous oxideMembrane bioreactorN2O modellingchemistry.chemical_compoundMembranechemistryGreenhouse gasCarbon dioxideBioreactorEnvironmental sciencenutrient removalWWTP N2O modelling Nutrient removal Greenhouse gasesWWTP
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Towards metal chalcogenide nanowire-based colour-sensitive photodetectors

2018

Financial support provided by Scientific Research Project for Students and Young Researchers Nr. SJZ/2016/6 realized at the Institute of Solid State Physics, University of Latvia is greatly acknowledged. Authors are grateful to Reinis Ignatans for XRD measurements.

DiffractionIn2S3PhotoluminescenceMaterials scienceChalcogenideNanowirePhotodetector02 engineering and technology010402 general chemistry01 natural sciencesFocused ion beamlaw.inventionInorganic Chemistrychemistry.chemical_compoundlaw:NATURAL SCIENCES:Physics [Research Subject Categories]Electrical and Electronic EngineeringPhysical and Theoretical ChemistryPhotodetectorSpectroscopybusiness.industryPhotoresistorOrganic Chemistry021001 nanoscience & nanotechnologyCdSAtomic and Molecular Physics and Optics0104 chemical sciencesElectronic Optical and Magnetic MaterialsNanowireZnSechemistryTransmission electron microscopyOptoelectronicsPbS0210 nano-technologybusinessOptical Materials
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Curating as placing stones to be picked up: Interview with Anne-Cécile Sibué-Birkeland

2021

Dramatic representation. The theaterPN2000-3307VDP::Humaniora: 000::Film- og teatervitenskap: 170::Teatervitenskap: 172Critical Stages
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