Search results for "interaction [p nucleus]"

showing 10 items of 258 documents

Micellar Liquid Chromatography: Fundamentals

2015

The reversed phase liquid chromatography (RPLC) mode with surfactant above the critical micellar concentration (CMC) has been called micellar liquid chromatography (MLC). In pure micellar systems, the retention behavior is explained by considering three phases or environments: surfactant-modified stationary phase, bulk aqueous solvent, and micellar pseudo-phase. Surfactant adsorption on the porous RPLC packing affects chromatographic retention, owing to the change of diverse surface properties of the stationary phase. In pure micellar systems, the retention behavior is explained by considering three phases or environments: surfactant-modified stationary phase, bulk aqueous solvent, and mice…

Aqueous solutionColumn chromatographyAqueous normal-phase chromatographyChemistryMicellar liquid chromatographyHydrophilic interaction chromatographytechnology industry and agricultureAnalytical chemistrylipids (amino acids peptides and proteins)macromolecular substancesReversed-phase chromatographyMicelleMicellar electrokinetic chromatography
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Carl Knappet. An Archaeology of Interaction: Network Perspectives on Material Culture and Society (Oxford: Oxford University Press, 2011, 251pp., 50 …

2013

ArcheologyInteraction networkMedia studiesSociologySocial scienceEuropean Journal of Archaeology
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Long-range interactions and the sign of natural amplitudes in two-electron systems

2013

In singlet two-electron systems the natural occupation numbers of the one-particle reduced density matrix are given as squares of the natural amplitudes which are defined as the expansion coefficients of the two-electron wave function in a natural orbital basis. In this work we relate the sign of the natural amplitudes to the nature of the two-body interaction. We show that long-range Coulomb-type interactions are responsible for the appearance of positive amplitudes and give both analytical and numerical examples that illustrate how the long-distance structure of the wave function affects these amplitudes. We further demonstrate that the amplitudes show an avoided crossing behavior as func…

Atomic Physics (physics.atom-ph)General Physics and AstronomyInteraction strengthFOS: Physical sciences02 engineering and technologyElectron01 natural sciencesPhysics - Atomic PhysicsCondensed Matter - Strongly Correlated Electronssymbols.namesakeQuantum mechanics0103 physical sciencesCoulombPhysical and Theoretical ChemistryWave functionPhysicsQuantum Physicsta114010304 chemical physicsStrongly Correlated Electrons (cond-mat.str-el)Avoided crossingComputational Physics (physics.comp-ph)021001 nanoscience & nanotechnologyAmplitudesymbolsReduced density matrix0210 nano-technologyHamiltonian (quantum mechanics)Quantum Physics (quant-ph)Physics - Computational Physics
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Decoding Children's Social Behavior

2013

We introduce a new problem domain for activity recognition: the analysis of children's social and communicative behaviors based on video and audio data. We specifically target interactions between children aged 1-2 years and an adult. Such interactions arise naturally in the diagnosis and treatment of developmental disorders such as autism. We introduce a new publicly-available dataset containing over 160 sessions of a 3-5 minute child-adult interaction. In each session, the adult examiner followed a semi-structured play interaction protocol which was designed to elicit a broad range of social behaviors. We identify the key technical challenges in analyzing these behaviors, and describe met…

Behavior Psychology Dataset Video analysis Speech Analysis AutismInter-action protocolsSocial and communicative behaviorInteraction protocol02 engineering and technologycomputer.software_genreAnnan data- och informationsvetenskapSession (web analytics)Activity recognitionTechnical challenges0202 electrical engineering electronic engineering information engineeringmedicineSocial behaviorAudio signal processingMultimediabusiness.industryDevelopmental disorders020207 software engineeringmedicine.diseaseSemi-structuredResearch questionsActivity recognitionProblem domainKey (cryptography)Autism020201 artificial intelligence & image processingArtificial intelligencePsychologybusinessOther Computer and Information SciencecomputerCognitive psychologySocial behavior2013 IEEE Conference on Computer Vision and Pattern Recognition
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PINCoC: a Co-Clustering based Method to Analyze Protein-Protein Interaction Networks

2007

Anovel technique to search for functionalmodules in a protein-protein interaction network is presented. The network is represented by the adjacency matrix associated with the undirected graph modelling it. The algorithm introduces the concept of quality of a sub-matrix of the adjacency matrix, and applies a greedy search technique for finding local optimal solutions made of dense submatrices containing the maximum number of ones. An initial random solution, constituted by a single protein, is evolved to search for a locally optimal solution by adding/removing connected proteins that best contribute to improve the quality function. Experimental evaluations carried out on Saccaromyces Cerevis…

BiclusteringMathematical optimizationBioinformatics network analysisCompact spaceInteraction networkBlock matrixFunction (mathematics)Adjacency matrixGreedy algorithmAlgorithmProtein protein interaction networkMathematics
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Protein Interaction Networks and Disease: Highlights of the 3rd Challenges in Computational Biology Meeting

2017

Cellular functions are managed by a complex network of protein interactions, the malfunction of which may derive in disease phenotypes. In spite of the incompleteness and noise present in our current protein interaction maps, computational biologists are making strenuous efforts to extract knowledge from these intricate networks and, through their integration with other types of biological data, expedite the development of novel and more effective treatments against human disorders. The 3rd Challenges in Computational Biology meeting revolved around the Protein Interaction Networks and Disease subject, bringing expert network biologists to the city of Mainz, Germany to debate the current st…

Biological dataComputingMethodologies_PATTERNRECOGNITIONWorkflowComputer sciencebusiness.industryProtein Interaction NetworksBig dataCellular functionsGenomicsComputational biologyDiseaseComplex networkbusinessGenomics and Computational Biology
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A Coclustering Approach for Mining Large Protein-Protein Interaction Networks

2012

Several approaches have been presented in the literature to cluster Protein-Protein Interaction (PPI) networks. They can be grouped in two main categories: those allowing a protein to participate in different clusters and those generating only nonoverlapping clusters. In both cases, a challenging task is to find a suitable compromise between the biological relevance of the results and a comprehensive coverage of the analyzed networks. Indeed, methods returning high accurate results are often able to cover only small parts of the input PPI network, especially when low-characterized networks are considered. We present a coclustering-based technique able to generate both overlapping and nonove…

Biologycomputer.software_genreBioinformatics network analysis co-clusteringTask (project management)Set (abstract data type)Protein Interaction MappingGeneticsCluster (physics)Cluster AnalysisHumansRelevance (information retrieval)Protein Interaction MapsCluster analysisStructure (mathematical logic)Applied MathematicsProteinsprotein-protein interaction networksbiological networksComputingMethodologies_PATTERNRECOGNITIONCover (topology)Co-clusteringData miningcomputerAlgorithmsBiological networkBiotechnologyIEEE/ACM Transactions on Computational Biology and Bioinformatics
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Potential models for the simulation of methane adsorption on graphene: development and CCSD(T) benchmarks

2018

Different force fields for the graphene–CH4 system are proposed including pseudo-atom and full atomistic models. Furthermore, different charge schemes are tested to evaluate the electrostatic interaction for the CH4 dimer. The interaction parameters are optimized by fitting to interaction energies at the DFT level, which were themselves benchmarked against CCSD(T) calculations. The potentials obtained with both the pseudo-atom and full atomistic approaches describe accurately enough the average interaction in the methane dimer as well as in the graphene–methane system. Moreover, the atom–atom potentials also correctly provide the energies associated with different orientations of the molecu…

CCSD calculationsPotential modelsUNESCO::QUÍMICADimerGeneral Physics and AstronomyThermodynamics02 engineering and technology010402 general chemistry:QUÍMICA [UNESCO]7. Clean energy01 natural sciencesStability (probability)MethaneCCSD calculations Potential models methane adsorptionlaw.inventionchemistry.chemical_compoundlawPhysics::Atomic and Molecular ClustersMoleculePhysics::Chemical PhysicsPhysical and Theoretical ChemistryBond energymethane adsorptionCondensed Matter::Quantum GasesPhysicsGrapheneCharge (physics)Interaction energy021001 nanoscience & nanotechnology0104 chemical scienceschemistry0210 nano-technologyPhysical Chemistry Chemical Physics
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ALICE forward rapidity upgrades

2017

Two forward rapidity upgrades of the ALICE apparatus at the LHC are presented: the Muon Forward Tracker (MFT) and the Fast Interaction Trigger (FIT). Their designs are driven by physics performance studies, which have been done using MC simulations. Several prototypes have been tested. Currently the detector design phase has ended. The final layouts, geometries and expected performance figures are presented. The latest developments from the test of the prototypes are discussed. The MFT will improve the performance of the ALICE Muon Spectrometer by adding vertexing capabilities to the system. The elementary component of the MFT is a Monolithic Active Pixel Sensor (MAPS), using the TowerJazz …

CMOS sensorLarge Hadron ColliderMuon Forward TrackerInteraction pointta114Computer sciencebusiness.industryCherenkov detectorFast Interaction TriggerPhysics::Instrumentation and DetectorsMonte Carlo methodDetectorALICE apparatuslaw.inventionOpticslawMicrochannel plate detectorDetectors and Experimental TechniquesbusinessCherenkov radiation
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Highly efficient separation of amines by electrokinetic chromatography using resorcarene-octacarboxylic acids as pseudo-stationary phases

1998

Abstract Resorcarene-octacarboxylic acids, macrocyclic molecules built up by four alkylidene-bridged resorcinol units, were synthesized and used as pseudostationary phases in electrokinetic chromatography (EKC). Resorcarenes provide a stable structure and good solubility in electrolytes even with organic modifiers. The high electrophoretic mobility of the resorcarene-octacarboxylic acids introduced here as pseudostationary phases is based on the eight partly deprotonated carboxylic groups. This offers a broad migration time window, which is the main parameter for the resolution of peaks. From three compounds with different alkyl chain lengths (C 1 , C 5 , C 11 ), the C 11 -resorcarene-octa-…

Carboxylic acidClinical BiochemistryKineticsCarboxylic AcidsResorcinolElectrochemistryHigh-performance liquid chromatographyBiochemistryMicellar electrokinetic chromatographyAnalytical ChemistryHomologous serieschemistry.chemical_compoundElectrokinetic phenomenaColumn chromatographyDrug DiscoveryElectrochemistryAminesDerivatizationMolecular BiologyAlkylchemistry.chemical_classificationPharmacologyChromatographyChromatographyElutionHydrophilic interaction chromatographyOrganic ChemistryResorcinolsGeneral MedicineCapacity factorKineticschemistryChromatography columnBiomedical Chromatography
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