Search results for " Modeling"

showing 10 items of 2411 documents

Modeling of biomolecular machines in non-equilibrium steady states

2021

Numerical computations have become a pillar of all modern quantitative sciences. Any computation involves modeling--even if often this step is not made explicit--and any model has to neglect details while still being physically accurate. Equilibrium statistical mechanics guides both the development of models and numerical methods for dynamics obeying detailed balance. For systems driven away from thermal equilibrium such a universal theoretical framework is missing. For a restricted class of driven systems governed by Markov dynamics and local detailed balance, stochastic thermodynamics has evolved to fill this gap and to provide fundamental constraints and guiding principles. The next step…

Chemical Physics (physics.chem-ph)Thermal equilibriumStatistical Mechanics (cond-mat.stat-mech)Markov chainComputer scienceComputationComplex systemDegrees of freedom (physics and chemistry)FOS: Physical sciencesGeneral Physics and AstronomyDetailed balanceStatistical mechanicsCondensed Matter - Soft Condensed MatterModels BiologicalMultiscale modelingPhysics - Chemical PhysicsThermodynamicsSoft Condensed Matter (cond-mat.soft)Statistical physicsPhysical and Theoretical ChemistryCondensed Matter - Statistical MechanicsThe Journal of Chemical Physics
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Adversarial reverse mapping of condensed-phase molecular structures: Chemical transferability

2021

Switching between different levels of resolution is essential for multiscale modeling, but restoring details at higher resolution remains challenging. In our previous study we have introduced deepBackmap: a deep neural-network-based approach to reverse-map equilibrated molecular structures for condensed-phase systems. Our method combines data-driven and physics-based aspects, leading to high-quality reconstructed structures. In this work, we expand the scope of our model and examine its chemical transferability. To this end, we train deepBackmap solely on homogeneous molecular liquids of small molecules, and apply it to a more challenging polymer melt. We augment the generator's objective w…

Chemical Physics (physics.chem-ph)Work (thermodynamics)Materials sciencelcsh:BiotechnologyTransferabilityGeneral EngineeringPhase (waves)FOS: Physical sciencesComputational Physics (physics.comp-ph)Resolution (logic)Multiscale modelinglcsh:QC1-999Physics - Chemical Physicslcsh:TP248.13-248.65General Materials ScienceRepresentation (mathematics)Reverse mappingBiological systemPhysics - Computational Physicslcsh:PhysicsGenerator (mathematics)APL Materials
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FEEDFORWARD CONTROL SCHEMES FOR CHEMICAL PROCESSES: AN ALGORITHMIC APPROACH

1983

Abstract A procedure for the systematic determination of feedforward control schemes for chemical processes is presented and an algorithm is derived. The proposed method makes use of the structural features of the process to be controlled and can be applied to linearized process models. Worked examples show how the algorithm can be a handy tool that systemizes the choice of manipulative and measuring variables in feedforward control schemes for multivariate processes.

Chemical processMultivariate statisticsProcess modelingProcess (engineering)Control theoryComputer scienceGeneral Chemical EngineeringFeed forwardControl engineeringGeneral ChemistryChemical Engineering Communications
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Heterogeneous Dinuclear Rhodium(II) Hydroformylation Catalysts—Performance Evaluation and Silsesquioxane-Based Chemical Modeling

2001

Supported, air stable, and reusable hydroformylation catalysts have been prepared by immobilizing dinuclear rhodium(II) complexes bearing ortho-metalated arylphosphane ligands on amorphous silica and mesoporous MCM-41 supports by phosphane tethers. The oligosilsesquioxane model complex of the catalytic site 1 has been prepared analogously and characterized by single-crystal X-ray diffraction analysis.

ChemistryChemical process modelingchemistry.chemical_elementGeneral ChemistryGeneral MedicineHeterogeneous catalysisCatalysisSilsesquioxaneRhodiumCatalysischemistry.chemical_compoundPolymer chemistryOrganic chemistryAmorphous silicaMesoporous materialHydroformylationAngewandte Chemie
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Genetically flexible murine organoids for mechanistic and functional modeling of cholangiocarcinoma

2019

ChemistryOrganoidComputational biologyFunctional modeling35. Jahrestagung der Deutschen Arbeitsgemeinschaft zum Studium der Leber
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Mixed microalgae culture for ammonium removal in the absence of phosphorus: Effect of phosphorus supplementation and process modeling

2014

Microalgal growth and ammonium removal in a P-free medium have been studied in two batch photobioreactors seeded with a mixed microalgal culture and operated for 46 days. A significant amount of ammonium (106 mg NH4-Nl(-1)) was removed in a P-free medium, showing that microalgal growth and phosphorus uptake are independent processes. The ammonium removal rate decreased during the experiment, partly due to a decrease in the cellular phosphorus content. After a single phosphate addition in the medium of one of the reactors, intracellular phosphorus content of the corresponding microalgal culture rapidly increased, and so did the ammonium removal rate. These results show how the amount of phos…

ChemistryPolyphosphatePhosphorusInorganic chemistryPhotobioreactorchemistry.chemical_elementBioengineeringPhosphateWastewaterPhosphateAmmonium removalApplied Microbiology and BiotechnologyBiochemistrychemistry.chemical_compoundEnhanced biological phosphorus removalWastewaterEnvironmental chemistryMicroalgaeAmmoniumMicroalgae growthMathematical modelingTECNOLOGIA DEL MEDIO AMBIENTE
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Spanish Adaptation of the Inventory Brief Child Abuse Potential and the Protective Factors Survey

2021

Child maltreatment is a public health problem with different consequences depending on the form of abuse. Measuring risk and protective factors has been a fertile ground for research, without involving instruments with sufficient evidence of validity. The aim of the study was to gather evidence of validity and reliability of the Inventory Brief Child Abuse Potential (IBCAP) and Protective Factors Survey (PFS) in the Mexican population. The instruments were translated into Spanish. In a non-probabilistic sample of 200 participants, the 7-factor model for the IBCAP [comparative fit index (CFI) = 0.984; root mean square error of approximation (RMSEA) = 0.067] and the 4-factor model for the PFS…

Child abusemedicine.medical_specialtyreliabilitychild abusePublic health05 social sciencesDiscriminant validityValidity050109 social psychologySample (statistics)norms and interpretation of tests scoresStructural equation modelingBF1-990validity evidencesmedicinePsychologyprotective and risk factors0501 psychology and cognitive sciencesPsychologyGeneral PsychologyReliability (statistics)Original Research050104 developmental & child psychologyInterpretabilityClinical psychologyFrontiers in Psychology
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Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion

2020

Miniaturized hyperspectral imaging techniques have developed rapidly in recent years and have become widely available for different applications. Combining calibrated hyperspectral imagery with inverse physically based reflectance models is an interesting approach for estimating chlorophyll concentrations that are good indicators of vegetation health. The objective of this study was to develop a novel approach for retrieving chlorophyll a and b values from remotely sensed data by inverting the stochastic model of leaf optical properties using a one-dimensional convolutional neural network. The inversion results and retrieved values are validated in two ways: A classical machine learning val…

Chlorophyll boptical propertiesChlorophyll aklorofylli010504 meteorology & atmospheric sciencesCorrelation coefficientStochastic modelling0211 other engineering and technologiesconvolutional neural network02 engineering and technologyneuroverkotoptiset ominaisuudet01 natural sciencesConvolutional neural networkchemistry.chemical_compoundchlorophylllcsh:Scienceoptical properties; convolutional neural network; deep learning; chlorophyll; stochastic modeling; physical parameter retrieval; forestry021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensingstokastiset prosessitbusiness.industryDeep learningspektrikuvausforestryHyperspectral imagingdeep learningmetsänarviointikoneoppiminenchemistryChlorophyllGeneral Earth and Planetary Scienceslcsh:QArtificial intelligencekaukokartoitusmetsänhoitobusinessphysical parameter retrievalstochastic modelingRemote Sensing; Volume 12; Issue 2; Pages: 283
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Amino acids in the second transmembrane helix of the Lhca4 subunit are important for formation of stable heterodimeric light-harvesting complex LHCI-…

2007

Photosynthetic light-harvesting complexes (LHCs) are assembled from apoproteins (Lhc proteins) and non-covalently attached pigments. Despite a considerable amino acid sequence identity, these proteins differ in their oligomerization behavior. To identify the amino acid residues determining the heterodimerization of Lhca1 and Lhca4 to form LHCI-730, we mutated the poorly conserved second transmembrane helix of the two subunits. Mutated genes were expressed in Escherichia coli and the resultant proteins were refolded in vitro and subsequently analyzed by gel electrophoresis. Replacement of the entire second helix in Lhca4 by the one of Lhca3 abolished heterodimerization, whereas it had no eff…

ChlorophyllModels MolecularMolecular Sequence DataLight-Harvesting Protein ComplexesBiologyProtein Structure SecondarySerineSolanum lycopersicumStructural BiologyChlorophyll bindingConsensus sequenceHistidineHomology modelingAmino Acid SequenceAmino AcidsProtein Structure QuaternaryMolecular BiologyPeptide sequenceHistidinePlant Proteinschemistry.chemical_classificationPhotosystem I Protein ComplexAmino acidTransmembrane domainProtein SubunitschemistryBiochemistryMutagenesisChlorophyll Binding ProteinsDimerizationSequence AlignmentJournal of molecular biology
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Dynamics of Two Picophytoplankton Groups in Mediterranean Sea: Analysis of the Deep Chlorophyll Maximum by a Stochastic Advection-Reaction-Diffusion …

2013

A stochastic advection-reaction-diffusion model with terms of multiplicative white Gaussian noise, valid for weakly mixed waters, is studied to obtain the vertical stationary spatial distributions of two groups of picophytoplankton, i.e., picoeukaryotes and Prochlorococcus, which account about for 60% of total chlorophyll on average in Mediterranean Sea. By numerically solving the equations of the model, we analyze the one-dimensional spatio-temporal dynamics of the total picophytoplankton biomass and nutrient concentration along the water column at different depths. In particular, we integrate the equations over a time interval long enough, obtaining the steady spatial distributions for th…

ChlorophyllPopulation DynamicsPopulation ModelingRandom processeAtmospheric scienceschemistry.chemical_compoundTheoretical EcologyWater columnMediterranean seaDeep chlorophyll maximumCalculusMultidisciplinaryEcologybiologyEcologyApplied MathematicsPhysicsQStatisticsRComplex SystemsStochastic differential equationsInterdisciplinary PhysicsMedicineDeep chlorophyll maximumProchlorococcusResearch ArticleChlorophyll aScienceStatistical MechanicsDifferential EquationsPhytoplanktonMarine ecosystemMediterranean SeaSpatial ecologyStatistical MethodsPhytoplankton dynamicBiologyComputerized SimulationsStochastic ProcessesPopulation BiologyAdvectionComputational BiologyRandom VariablesModels TheoreticalSpatial ecology; Marine ecosystems; Phytoplankton dynamics; Deep chlorophyll maximum; Random processes; Stochastic differential equationsProbability Theorybiology.organism_classificationMarine EnvironmentsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Nonlinear DynamicschemistryChlorophyllComputer SciencePhytoplanktonEcosystem ModelingMathematicsEcological EnvironmentsPLoS ONE
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