Search results for "Base"

showing 10 items of 8362 documents

Influence of Proton Conducting Cations on the Structure and Properties of 2D Anilate-Based Magnets

2017

The syntheses, structures, magnetic, and proton conductivity properties of a family of bimetallic anilate-based compounds with inserted alkylammonium cations are presented. The structures of (Me2NH2)[MnIICrIII(Br2An)3]·2H2O (1), (Et2NH2)[MnIICrIII(Br2An)3] (2), (Et3NH)[MnIICrIII(Cl2An)3] (3), and [(Et)(i-Pr)2NH]-[MnIICrIII(Br2An)3]·(CHCl3)0.5·(H2O) (4) contain a 2D anionic network formed by Mn(II) and Cr(III) ions linked through anilate ligands. In 1, 2, and 3, the hexagonal holes of this network are occupied by Me2NH2+, Et2NH2+, or Et3NH+ cations. Interestingly, the small increase of size of the templating cation in 4 ([(Et)(i-Pr)2NH]+ in the place of Me2NH2+, Et2NH2+ or Et3NH+), gives ris…

Anilate-Based Magnets25-Dihydroxy-14-benzoquinone Dianion DerivativesProton010405 organic chemistryHexagonal crystal systemChemistryConductivity010402 general chemistry01 natural sciencesProton-conductivity0104 chemical sciencesIonInorganic ChemistryEspectroscopíaCrystallographyImanes superconductoresFerrimagnetismMagnetAnionesPhysical and Theoretical ChemistryBimetallic strip
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Theoretical Study on the Photo-Oxidation and Photoreduction of an Azetidine Derivative as a Model of DNA Repair

2021

Photocycloreversion plays a central role in the study of the repair of DNA lesions, reverting them into the original pyrimidine nucleobases. Particularly, among the proposed mechanisms for the repair of DNA (6-4) photoproducts by photolyases, it has been suggested that it takes place through an intermediate characterized by a four-membered heterocyclic oxetane or azetidine ring, whose opening requires the reduction of the fused nucleobases. The specific role of this electron transfer step and its impact on the ring opening energetics remain to be understood. These processes are studied herein by means of quantum-chemical calculations on the two azetidine stereoisomers obtained from photocyc…

AnionsAcetonitrilesPyrimidineLightPhotochemistryAzetidinePharmaceutical ScienceOrganic chemistryDNA repair010402 general chemistryRing (chemistry)PhotochemistryOxetane01 natural sciencesArticleAnalytical ChemistryNucleobaseElectron transferchemistry.chemical_compoundElectron transferQUIMICA ORGANICAQD241-441AzetidineCationsredox propertiesDrug DiscoveryPhotosensitizerPhysical and Theoretical ChemistryPhotolyasering openingdensity functional theoryphotochemistry010405 organic chemistryRing openingModels Theoreticalelectron transfer0104 chemical scienceschemistryChemistry (miscellaneous)Density functional theoryMolecular MedicineAzetidinesThermodynamicsGasesazetidineOxidation-ReductionRedox propertiesMolecules
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The Crucial Role of Polyatomic Anions in Molecular Architecture: Structural And Magnetic Versatility of Five Nickel(II) Complexes Derived from A N,N,…

2009

Five new nickel(II) complexes [Ni(2)L(2)(N(3))(2)(H(2)O)(2)] (1), [Ni(2)L(2)(NO(3))(2)] (2), [Ni(2)L(2)(O(2)CPh)(CH(3)OH)(2)]ClO(4).0.5CH(3)OH (3), [Ni(3)L(2)(O(2)CPh)(4)] (4), and [Ni(2)L(2)(NO(2))(2)](n) (5) have been synthesized by using a tridentate Schiff base ligand, HL (2-[(3-Methylamino-propylimino)-methyl]-phenol), and the polyatomic monoanions N(3)(-), NO(3)(-), PhCOO(-), or NO(2)(-). The complexes have been structurally and magnetically characterized. The structural analysis reveals that in all five complexes, the Ni(II) ions possess a distorted octahedral geometry. Complexes 1 and 2 are dinuclear with di-mu-1,1-azido and di-mu(2)-phenoxo bridges, respectively. Complex 3 is also …

AnionsSchiff baseMolecular StructureSpectrophotometry InfraredLigandStereochemistryPolyatomic ionchemistry.chemical_elementCrystallography X-RayLigandsIonInorganic ChemistryMagneticschemistry.chemical_compoundNickelCrystallographychemistryNickelOctahedral molecular geometryCarboxylatePhysical and Theoretical ChemistrySchiff BasesInorganic Chemistry
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Language Documentation and Descriptive Linguistics

2021

AnnotationRule-based machine translationLanguage documentationLinguistic descriptionTranscription (software)PsychologyLinguistics
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Understanding the cooperative NHC/LA catalysis for stereoselective annulation reactions with homoenolates. A DFT study.

2011

The role of Ti(Oi-Pr)(4) Lewis acid (LA) in the cooperative N-heterocyclic carbene (NHC)/LA catalyzed addition of enals to enones to yield cis-cyclopentenes has been investigated using DFT methods at the B3LYP/6-31G** computational level. Ti(IV) effectively catalyzes the reaction by formation of a complex with cinnamaldehyde 1, which favors the nucleophilic attack of NHC 5 on 1, and the subsequent proton abstraction to yield the extended Ti(IV)-Breslow intermediate 21. The nature of the metal involved in the LA catalyst plays a relevant role due to the more basic character of NHCs than aldehydes. Thus, strong LAs, such as Zn(OTf)(2), prevent the catalytic behavior of NHCs to form a very sta…

AnnulationStereochemistryOrganic ChemistryBiochemistryCatalysischemistry.chemical_compoundchemistryNucleophileYield (chemistry)StereoselectivityLewis acids and basesPhysical and Theoretical ChemistryCarbeneCis–trans isomerismOrganicbiomolecular chemistry
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Mitigating DDoS using weight‐based geographical clustering

2020

Distributed denial of service (DDoS) attacks have for the last two decades been among the greatest threats facing the internet infrastructure. Mitigating DDoS attacks is a particularly challenging task as an attacker tries to conceal a huge amount of traffic inside a legitimate traffic flow. This article proposes to use data mining approaches to find unique hidden data structures which are able to characterize the normal traffic flow. This will serve as a mean for filtering illegitimate traffic under DDoS attacks. In this endeavor, we devise three algorithms built on previously uncharted areas within mitigation techniques where clustering techniques are used to create geographical clusters …

Anomaly intrusion detectionsComputer Networks and CommunicationsComputer scienceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSDenial-of-service attackFault tolerancecomputer.software_genreClustering techniquesData segmentComputer Science ApplicationsTheoretical Computer ScienceComputational Theory and MathematicsMitigating DDoS attacksCloud burstingData miningCluster analysisWeight based dosingcomputerSoftwareAddress clusteringMitigation techniquesConcurrency and Computation: Practice and Experience
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Exploiting historical rainfall and landslide data in a spatial database for the derivation of critical rainfall thresholds

2017

Critical rainfall thresholds for landslides are powerful tools for preventing landslide hazard. The thresholds are commonly estimated empirically starting from rainfall events that triggered landslides in the past. The creation of the appropriate rainfall–landslide database is one of the main efforts in this approach. In fact, an accurate agreement between the landslide and rainfall information, in terms of location and timing, is essential in order to correctly estimate the rainfall–landslide relationships. A further issue is taking into account the average moisture conditions prior the triggering event, which reasonably may be crucial in determining the sufficient amount of precipitation.…

Antecedent rainfall condition010504 meteorology & atmospheric sciencesMeteorology0211 other engineering and technologiesSoil ScienceContext (language use)02 engineering and technologyRainfall–landslide database01 natural sciencesImage analysisEnvironmental ChemistryRainfall thresholds; Rainfall–landslide database; Image analysis; Antecedent rainfall conditions; Sicily; LithologyPrecipitationSicily0105 earth and related environmental sciencesEarth-Surface ProcessesWater Science and TechnologyEvent (probability theory)021110 strategic defence & security studiesGlobal and Planetary ChangeRainfall thresholdsSpatial databaseSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaAntecedent rainfall conditionsGeologyLandslideRainfall thresholdPollutionHazardRunoff modelLithologyHyetographImage analysiGeologyEnvironmental Earth Sciences
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IgG Subclass Distribution of Autoantibodies to Glomerular Basement Membrane in Goodpasture’s Syndrome Compared to Other Autoantibodies

1988

The IgG subclass distribution of autoantibodies to glomerular basement membrane (anti-GBM antibodies) was investigated and compared to the distribution of liver-kidney microsomal (LKM) autoantibodies in chronic active hepatitis, to antimitochondrial autoantibodies (AMA) in primary biliary cirrhosis, and to the subclass distribution of total serum IgG within a healthy population. Solid phase assays for the demonstration of these autoantibodies were performed with four mouse monoclonal antibodies specific for each human subclass to provide quantitative data for the autoantibodies. In addition, the subclass distribution of total IgG in these sera was analyzed. IgG1 accounted for 75% of the tot…

Anti-Glomerular Basement Membrane DiseaseRenal glomerulusmedicine.drug_classKidney GlomerulusPopulationMitochondria LiverMonoclonal antibodyBasement MembraneSubclassmedicineHumansGoodpasture syndromeeducationAutoantibodiesHepatitis Chroniceducation.field_of_studybiologyLiver Cirrhosis Biliarybusiness.industryGlomerular basement membraneAutoantibodymedicine.diseasemedicine.anatomical_structureImmunoglobulin GImmunologyMicrosomes Liverbiology.proteinAntibodybusinessNephron
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Diversity and Evolution of the Phenazine Biosynthesis Pathway

2010

ABSTRACT Phenazines are versatile secondary metabolites of bacterial origin that function in biological control of plant pathogens and contribute to the ecological fitness and pathogenicity of the producing strains. In this study, we employed a collection of 94 strains having various geographic, environmental, and clinical origins to study the distribution and evolution of phenazine genes in members of the genera Pseudomonas , Burkholderia , Pectobacterium , Brevibacterium , and Streptomyces . Our results confirmed the diversity of phenazine producers and revealed that most of them appear to be soil-dwelling and/or plant-associated species. Genome analyses and comparisons of phylogenies inf…

Antifungal Agentsgenome sequenceaeruginosa pao1virulence factorsphenazine-1-carboxylic acidVIRULENCE FACTORS GENE-CLUSTERApplied Microbiology and Biotechnologychemistry.chemical_compoundGene clusterEnvironmental MicrobiologyPhylogenySoil Microbiologyfluorescent pseudomonas2. Zero hungerGenetics0303 health sciencesEcologybiologyEPS-2PseudomonasPlants[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologyMultigene FamilyHorizontal gene transferBiotechnologyDNA BacterialWashingtonPectobacteriumGene Transfer HorizontalGenotypeSequence analysisMolecular Sequence DataPhenazineerwinia-herbicola eh1087pseudomonas-chlororaphis pcl1391Evolution Molecular03 medical and health sciencesBacterial ProteinsPseudomonasBotanyEscherichia coli030304 developmental biologyBacteriaBase SequencePSEUDOMONAS-CHLORORAPHIS030306 microbiologybiological-controlGene Expression Regulation BacterialSequence Analysis DNA15. Life on landbiology.organism_classificationrpoBERWINIA-HERBICOLAPHENAZINEBiosynthetic Pathwaysgene-clusterLaboratorium voor PhytopathologieBurkholderiachemistryGenes BacterialLaboratory of PhytopathologyPhenazinesburkholderia-cepacia complexSequence AlignmentFood Science
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QuBiLs-MAS method in early drug discovery and rational drug identification of antifungal agents

2015

The QuBiLs-MAS approach is used for the in silico modelling of the antifungal activity of organic molecules. To this effect, non-stochastic (NS) and simple-stochastic (SS) atom-based quadratic indices are used to codify chemical information for a comprehensive dataset of 2478 compounds having a great structural variability, with 1087 of them being antifungal agents, covering the broadest antifungal mechanisms of action known so far. The NS and SS index-based antifungal activity classification models obtained using linear discriminant analysis (LDA) yield correct classification percentages of 90.73% and 92.47%, respectively, for the training set. Additionally, these models are able to correc…

AntifungalQuantitative structure–activity relationshipAntifungal AgentsLinear discriminant analysismedicine.drug_classIn silicoAtom-based quadratic indicesQSAR modelQuantitative Structure-Activity RelationshipBioengineeringDrug developmentComputational biologyQuantitative structure activity relationVrtual screening antifungal agentDrug DiscoverymedicineComputer SimulationDrug identificationChemistryDrug discoveryLinear modelDiscriminant AnalysisGeneral MedicineLinear discriminant analysisCombinatorial chemistryChemistryTest setLinear ModelsMolecular MedicineQuBiLs-MAS softwareStatistical modelAntifungal agent
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