Search results for "Application"

showing 10 items of 5559 documents

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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Efficient Linear-Scaling Density Functional Theory for Molecular Systems

2013

Despite recent progress in linear scaling (LS) density function theory (DFT), the computational cost of the existing LS methods remains too high for a widespread adoption at present. In this work, we exploit nonorthogonal localized molecular orbitals to develop a series of LS methods for molecular systems with a low computational overhead. High efficiency of the proposed methods is achieved with a new robust two-stage variational procedure or by replacing the optimization altogether with an accurate nonself-consistent approach. We demonstrate that, even for challenging condensed-phase systems, the implemented LS methods are capable of extending the range of accurate DFT simulations to molec…

10120 Department of ChemistryWork (thermodynamics)Mathematical optimization010304 chemical physicsSeries (mathematics)Computer scienceLocalized molecular orbitalsMolecular systems01 natural sciencesComputer Science ApplicationsRange (mathematics)0103 physical sciences540 ChemistryLinear scale1706 Computer Science ApplicationsDensity functional theoryPhysical and Theoretical Chemistry010306 general physics1606 Physical and Theoretical ChemistryAlgorithmOrder of magnitude
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Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Tim…

2022

Causality inference has arrested much attention in academic studies. Currently, multiple methods such as Granger causality, Convergent Cross Mapping (CCM), and Noise-assisted Multivariate Empirical Mode Decomposition (NA-MEMD) are introduced to solve the problem. Motivated by the researchers who uploaded the open-source code for causality inference, we hereby present the Matlab code of NA-MEMD Causal Decomposition to help users implement the algorithm in multiple scenarios. The code is developed on Matlab2020 and is mainly divided into three subfunctions: na_memd, Plseries, and cd_na_memd. na_memd is called in the main function to generate the matrix of Intrinsic Mode Functions (IMFs) and P…

1109 Neurosciences 1702 Cognitive SciencesBiomedical EngineeringNeuroscience (miscellaneous)Computer Science Applications
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Modeling mass transfer in fracture flows with the time domain-random walk method

2019

The time domain-random walk method was developed further for simulating mass transfer in fracture flows together with matrix diffusion in surrounding porous media. Specifically, a time domain-random walk scheme was developed for numerically approximating solutions of the advection-diffusion equation when the diffusion coefficient exhibits significant spatial variation or even discontinuities. The proposed scheme relies on second-order accurate, central-difference approximations of the advective and diffusive fluxes. The scheme was verified by comparing simulated results against analytical solutions in flow configurations involving a rectangular channel connected on one side with a porous ma…

1171 GeosciencesvirtauslaskentaPOROUS-MEDIAadvection116 Chemical sciencesPorous media010103 numerical & computational mathematicsClassification of discontinuitiesPORE114 Physical scienceskulkeutuminen01 natural scienceshuokoisuusMatrix (mathematics)porous mediadiffuusio (fysikaaliset ilmiöt)Mass transfersimulointiPERMEABILITYTime domainBreakthrough curve0101 mathematicsComputers in Earth SciencesDiffusion (business)matrix diffusionPhysicsHETEROGENEOUS ROCK MATRIXHYDRODYNAMIC TRANSPORTPOROSITYSolute transportMechanicssimulationRandom walkDIFFUSIONComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsFlow (mathematics)solute transportSIMULATIONAdvectionMatrix diffusionbreakthrough curvePorous mediumComputational Geosciences
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Measurement of the W boson mass

1996

The W boson mass is measured using proton-proton collision data at root s = 13 TeV corresponding to an integrated luminosity of 1.7fb(-1) recorded during 2016 by the LHCb experiment. With a simultaneous fit of the muon q/p(T) distribution of a sample of W ->mu y decays and the phi* distribution of a sample of Z -> mu mu decays the W boson mass is determined to be

13000 GeV-cmsTevatronparton: distribution functionQC770-798W: leptonic decay7. Clean energy01 natural sciencesLuminosityPhysics Particles & FieldsSubatomär fysikHadron-Hadron scattering (experiments)scattering [p p]Electroweak interactionNuclear Experimentparticle identification [muon]Settore FIS/01PhilosophyPhysicsCoupling (probability)CERN LHC CollHadron colliderPhysical SciencesTransverse masscolliding beams [p p]distribution function [parton]Collider Detector at FermilabParticles and fieldCOLLISIONSp p: scatteringCERN PBARP COLLIDERAstrophysics::High Energy Astrophysical PhenomenaW: mass: measuredStandard ModelNuclear physicsddc:530010306 general physics0206 Quantum PhysicsMuonScience & Technology010308 nuclear & particles physicsWeinberg angleHEPFERMILAB TEVATRONElectroweak interaction Hadron-Hadron scattering (experiments) QCD For- ward physicsCDFp p: colliding beamsPhysics::Instrumentation and DetectorsElectron–positron annihilation= 1.8 TEVGeneral Physics and Astronomy= 1.8 TEV; PBARP COLLISIONS; DECAYVector bosonHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)Computer Science::Systems and ControlSubatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]PhysicFermilabBosonPhysics0105 Mathematical PhysicsStatistics::ApplicationsSettore FIS/01 - Fisica Sperimentalestatistical [error]Nuclear & Particles PhysicsCENTRAL TRACKING CHAMBERerror: statisticalCENTRAL ELECTROMAGNETIC CALORIMETERTransverse momentum0202 Atomic Molecular Nuclear Particle and Plasma PhysicsLHCmass: measured [W]Particle Physics - ExperimentStatistics::TheoryParticle physicsNuclear and High Energy Physicselectroweak interaction: precision measurementRegular Article - Experimental PhysicsTRANSVERSE ENERGYFOS: Physical sciencesmuon: particle identification530Particle decayPBARP COLLISIONSNuclear and particle physics. Atomic energy. Radioactivityprecision measurement [electroweak interaction]0103 physical sciencesForward physicVECTOR BOSONElectroweak interaction Hadron-Hadron scattering (experiments) QCD Forward physicsCERN PBARP COLLIDER; CENTRAL ELECTROMAGNETIC CALORIMETER; CENTRAL TRACKING CHAMBER; = 1.8 TEV; PARTON DISTRIBUTIONS; FERMILAB TEVATRON; VECTOR BOSON; TRANSVERSE ENERGY; CDF; COLLISIONShep-exHigh Energy Physics::PhenomenologyLHC-BQCDleptonic decay [W]LHCbPARTON DISTRIBUTIONSMass spectrumForward physicsPhysics::Accelerator PhysicsHigh Energy Physics::ExperimentDECAYHumanitiesexperimental results
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COVID-19 Contact Tracing and Data Protection Can Go Together

2020

We discuss the implementation of app-based contact tracing to control the coronavirus disease (COVID-19) pandemic and discuss its data protection and user acceptability aspects.

2019-20 coronavirus outbreakCoronavirus disease 2019 (COVID-19)Computer scienceSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Pneumonia ViralPatient rightsHealth InformaticsInformation technologyprivacycontact tracingDisease OutbreaksBetacoronavirusHuman–computer interactionHumansData Protection Act 1998Guest Editorialproximity tracingPandemicsappComputer Securitydata protectionUser acceptabilitySARS-CoV-2BluetoothCOVID-19T58.5-58.64Mobile ApplicationsPatient RightsGeographic Information SystemsSmartphonePublic aspects of medicineRA1-1270Coronavirus InfectionsContact tracingCoronavirus InfectionsJMIR mHealth and uHealth
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Metabolic Syndrome: From Molecular Mechanisms to Novel Therapies

2021

The metabolic syndrome (MetS) consists of a cluster of metabolic abnormalities including central obesity, insulin resistance, glucose intolerance, hypertension, and atherogenic dyslipidemia [...]

2019-20 coronavirus outbreakCoronavirus disease 2019 (COVID-19)QH301-705.5Disease clusterBioinformaticsCatalysisInorganic ChemistryInsulin resistanceDiabetes mellitusmedicineAnimalsHumansObesityPhysical and Theoretical ChemistryBiology (General)Molecular BiologyQD1-999SpectroscopyMetabolic SyndromeAtherogenic dyslipidemiabusiness.industryOrganic ChemistryAnimals Diabetes Mellitus Type 2 Humans Insulin Resistance Metabolic Syndrome ObesityGeneral Medicinemedicine.diseaseObesityComputer Science ApplicationsChemistryEditorialn/aDiabetes Mellitus Type 2Metabolic syndromeInsulin ResistancebusinessInternational Journal of Molecular Sciences
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Cardiometabolic Alterations in the Interplay of COVID-19 and Diabetes: Current Knowledge and Future Avenues

2021

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (coronavirus disease 2019 [COVID-19]) pandemic has raged for almost two years, with few signs of a sustained abatement or remission [...]

2019-20 coronavirus outbreakCoronavirus disease 2019 (COVID-19)QH301-705.5virusesSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)CatalysisDiabetes ComplicationsInorganic ChemistryDiabetes mellitusPandemicmedicineHumansBiology (General)Physical and Theoretical ChemistryQD1-999Molecular BiologySpectroscopySARS-CoV-2business.industryOrganic ChemistryCOVID-19virus diseasesGeneral Medicinemedicine.diseaseComputer Science ApplicationsLipoproteins LDLChemistryn/aEditorialCardiovascular DiseasesImmunologyCOVID-19 Cardiovascular Diseases Diabetes Complications Endothelium Vascular Humans Lipoproteins LDL SARS-CoV-2Endothelium VascularbusinessInternational Journal of Molecular Sciences
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Big data analytics in healthcare: a systematic literature review

2020

The current study performs a systematic literature review (SLR) to synthesise prior research on the  applicability of big data analytics (BDA) in healthcare. The SLR examines the outcomes of 41 stu...

2019-20 coronavirus outbreakInformation Systems and ManagementCoronavirus disease 2019 (COVID-19)Computer sciencebusiness.industrySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)05 social sciencesBig data02 engineering and technologyData scienceHealth informaticsComputer Science ApplicationsSystematic reviewAnalytics0502 economics and businessHealth care0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingbusiness050203 business & managementEnterprise Information Systems
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Creativity and Innovation in Technology-Mediated Journalistic Work : Mapping out Enablers and Constraints

2020

This qualitative study examines creativity and innovation in dispersed, journalistic teams. Specifically, we study the factors enabling and constraining creativity and innovation in journalistic work in technology-mediated settings and explore how technology shapes these phenomena in dispersed journalistic teams. The study is motivated by the media industry’s heightened need for creativity and innovation as well as the changing nature of working life where an increasing amount of work is done via information and communication technologies. By closely examining two journalistic teams and their idea sharing and development processes, this study finds that successful creative work and innovati…

2019-20 coronavirus outbreakKnowledge managementCoronavirus disease 2019 (COVID-19)toimittajat (media)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)media_common.quotation_subjectComputerApplications_COMPUTERSINOTHERSYSTEMSComputingMilieux_LEGALASPECTSOFCOMPUTING050801 communication & media studiestechnology-mediated work0508 media and communications050602 political science & public administrationluovuusSociologydigitalisaatiocreativitymedia_commoninnovatiivisuusComputingMilieux_THECOMPUTINGPROFESSIONbusiness.industryCommunication05 social sciencesjournalistic practicesCreativitytiimityöinnovation0506 political scienceWork (electrical)media workjournalismiComputingMilieux_COMPUTERSANDSOCIETYbusinesspsychologically safe communication climateQualitative research
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