Search results for "soft"

showing 10 items of 9809 documents

Partition of Indicaxanthin in Membrane Biomimetic Systems. A Kinetic and Modeling Approach

2009

The solubilization site of indicaxanthin (Ind) in lipid bilayers was investigated by the kinetics of Ind oxidation by peroxyl radicals in water and in aqueous/L-alpha-dipalmitoyl-phosphatidylcholine (DPPC) vesicles, pH 7.4, and 37.0 and 48.0 degrees C, that is, in a gel-like and a crystal liquidlike bilayer state, respectively. The time-dependent Ind absorbance decay, matched with a successful simulation of the reaction kinetic mechanism by Gepasi software, supported a multistep pathway. Computer-assisted analysis allowed calculation of the rate constants associated with the reactions involved, the values of which decreased with increasing DPPC concentration. The binding constant calculated…

12-DipalmitoylphosphatidylcholinePyridinesLipid BilayersBetalain pigmentchemistry.chemical_compoundReaction rate constantGepasi simulation.biomimetic membraneLipid bilayervesiclephospholipidAqueous solutionChromatographyVesicleBilayerAqueous two-phase systemWaterGeneral ChemistryBinding constantBetaxanthinsPeroxidesKineticschemistryLiposomesPhysical chemistryDPPCGeneral Agricultural and Biological SciencesOxidation-ReductionIndicaxanthinSoftware
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Deliberation favours social efficiency by making people disregard their relative shares: evidence from USA and India

2017

Groups make decisions on both the production and the distribution of resources. These decisions typically involve a tension between increasing the total level of group resources (i.e. social efficiency) and distributing these resources among group members (i.e. individuals' relative shares). This is the case because the redistribution process may destroy part of the resources, thus resulting in socially inefficient allocations. Here we apply a dual-process approach to understand the cognitive underpinnings of this fundamental tension. We conducted a set of experiments to examine the extent to which different allocation decisions respond to intuition or deliberation. In a newly developed app…

1001Physics - Physics and SocietyDual-process model42media_common.quotation_subjectDistribution (economics)FOS: Physical sciencesPhysics and Society (physics.soc-ph)Social efficiencycomputer.software_genreTime pressureCorrections050105 experimental psychologydual process modelsMicroeconomicsintuitiondeliberationPsychology and Cognitive Neuroscience0502 economics and businessProduction (economics)0501 psychology and cognitive sciences050207 economicsequalityRobustness (economics)Set (psychology)[SHS.ECO] Humanities and Social Sciences/Economics and Financelcsh:Sciencedual-process modelsmedia_commonMultidisciplinaryCognitive Reflection Testbusiness.industry05 social sciencesCognition14Redistribution (cultural anthropology)Deliberation[SHS.ECO]Humanities and Social Sciences/Economics and FinanceefficiencyTrait[SHS.GESTION]Humanities and Social Sciences/Business administrationlcsh:QData miningPsychologybusiness[SHS.GESTION] Humanities and Social Sciences/Business administrationcomputerIntuitionResearch Article
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Force Field for Water over Pt(111): Development, Assessment, and Comparison

2018

Metal/water interfaces are key in many natural and industrial processes, such as corrosion, atmospheric, or environmental chemistry. Even today, the only practical approach to simulate large interfaces between a metal and water is to perform force-field simulations. In this work, we propose a novel force field, GAL17, to describe the interaction of water and a Pt(111) surface. GAL17 builds on three terms: (i) a standard Lennard-Jones potential for the bonding interaction between the surface and water, (ii) a Gaussian term to improve the surface corrugation, and (iii) two terms describing the angular dependence of the interaction energy. The 12 parameters of this force field are fitted again…

10120 Department of ChemistryMaterials scienceComputationGaussianThermodynamics02 engineering and technology010402 general chemistry01 natural sciencesForce field (chemistry)CorrosionMetalComputer Softwaresymbols.namesakeAdsorptionTheoretical and Computational Chemistry540 Chemistry1706 Computer Science ApplicationsPhysical and Theoretical ChemistryComputingMilieux_MISCELLANEOUSChemical PhysicsSolvationInteraction energy021001 nanoscience & nanotechnology0104 chemical sciencesComputer Science Applications[CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistry13. Climate actionvisual_artvisual_art.visual_art_mediumsymbolsBiochemistry and Cell Biology0210 nano-technology1606 Physical and Theoretical Chemistry
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"Table 126" of "A measurement of soft-drop jet observables in $pp$ collisions with the ATLAS detector at $\sqrt{s} = 13$ TeV"

2021

Data from Fig 17c. The extracted quark-distribution from the unfolded charged-particle $R_g$ distribution for anti-kt R=0.8 jets with 600 < $p_T$ < 800 GeV, after the soft drop algorithm is applied for $\beta$ = 2, in data. All uncertainties described in the text are shown on the data. The distributions are normalized to the integrated cross section, $\sigma$.

13000.0substructureAstrophysics::High Energy Astrophysical PhenomenaP P --> JET JETHigh Energy Physics::ExperimentSoft dropRg
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"Table 124" of "A measurement of soft-drop jet observables in $pp$ collisions with the ATLAS detector at $\sqrt{s} = 13$ TeV"

2021

Data from Fig 17b. The extracted quark-distribution from the unfolded charged-particle $R_g$ distribution for anti-kt R=0.8 jets with 600 < $p_T$ < 800 GeV, after the soft drop algorithm is applied for $\beta$ = 1, in data. All uncertainties described in the text are shown on the data. The distributions are normalized to the integrated cross section, $\sigma$.

13000.0substructureAstrophysics::High Energy Astrophysical PhenomenaP P --> JET JETHigh Energy Physics::ExperimentSoft dropRg
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"Table 122" of "A measurement of soft-drop jet observables in $pp$ collisions with the ATLAS detector at $\sqrt{s} = 13$ TeV"

2021

Data from Fig 17a. The extracted quark-distribution from the unfolded charged-particle $R_g$ distribution for anti-kt R=0.8 jets with 600 < $p_T$ < 800 GeV, after the soft drop algorithm is applied for $\beta$ = 0, in data. All uncertainties described in the text are shown on the data. The distributions are normalized to the integrated cross section, $\sigma$.

13000.0substructureAstrophysics::High Energy Astrophysical PhenomenaP P --> JET JETHigh Energy Physics::ExperimentSoft dropRg
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"Table 143" of "A measurement of soft-drop jet observables in $pp$ collisions with the ATLAS detector at $\sqrt{s} = 13$ TeV"

2021

Data from FigAux 8c. The extracted gluon-distribution from the unfolded all-particle $R_g$ distribution for anti-kt R=0.8 jets with 600 < $p_T$ < 800 GeV, after the soft drop algorithm is applied for $\beta$ = 2, in data. All uncertainties described in the text are shown on the data. The distributions are normalized to the integrated cross section, $\sigma$.

13000.0substructureAstrophysics::High Energy Astrophysical PhenomenaP P --> JET JETHigh Energy Physics::ExperimentSoft dropRgNuclear Experiment
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"Table 144" of "A measurement of soft-drop jet observables in $pp$ collisions with the ATLAS detector at $\sqrt{s} = 13$ TeV"

2021

Data from Fig 17c. The extracted gluon-distribution from the unfolded charged-particle $R_g$ distribution for anti-kt R=0.8 jets with 600 < $p_T$ < 800 GeV, after the soft drop algorithm is applied for $\beta$ = 2, in data. All uncertainties described in the text are shown on the data. The distributions are normalized to the integrated cross section, $\sigma$.

13000.0substructureAstrophysics::High Energy Astrophysical PhenomenaP P --> JET JETHigh Energy Physics::ExperimentSoft dropRgNuclear Experiment
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"Table 141" of "A measurement of soft-drop jet observables in $pp$ collisions with the ATLAS detector at $\sqrt{s} = 13$ TeV"

2021

Data from FigAux 8b. The extracted gluon-distribution from the unfolded all-particle $R_g$ distribution for anti-kt R=0.8 jets with 600 < $p_T$ < 800 GeV, after the soft drop algorithm is applied for $\beta$ = 1, in data. All uncertainties described in the text are shown on the data. The distributions are normalized to the integrated cross section, $\sigma$.

13000.0substructureAstrophysics::High Energy Astrophysical PhenomenaP P --> JET JETHigh Energy Physics::ExperimentSoft dropRgNuclear Experiment
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"Table 142" of "A measurement of soft-drop jet observables in $pp$ collisions with the ATLAS detector at $\sqrt{s} = 13$ TeV"

2021

Data from Fig 17b. The extracted gluon-distribution from the unfolded charged-particle $R_g$ distribution for anti-kt R=0.8 jets with 600 < $p_T$ < 800 GeV, after the soft drop algorithm is applied for $\beta$ = 1, in data. All uncertainties described in the text are shown on the data. The distributions are normalized to the integrated cross section, $\sigma$.

13000.0substructureAstrophysics::High Energy Astrophysical PhenomenaP P --> JET JETHigh Energy Physics::ExperimentSoft dropRgNuclear Experiment
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