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Record W7045156506

Analysis and approximation of incompressible chemically reacting non-Newtonian fluids

2018· dissertation· en· W7045156506 on OpenAlexaff

Bibliographic record

VenueOxford University Research Archive (ORA) (University of Oxford) · 2018
Typedissertation
Languageen
FieldMedicine
TopicCancer Diagnosis and Treatment
Canadian institutionsTrinity College
Fundersnot available
KeywordsNucleofectionTSG101Articular cartilage damageLiquationSulfinpyrazoneTubulopathy
DOInot available

Abstract

fetched live from OpenAlex

<p>In this thesis, we consider a system of nonlinear partial differential equations modelling the motion of an incompressible non-Newtonian fluid, which is chemically reacting. The governing system consists of a convection-diffusion equation for the concentration and the generalized Navier-Stokes equations, where the viscosity coeffiicient is a power-law-type function of the shear-rate, and the coupling between the equations results from the concentration-dependence of the power-law index. This system of nonlinear partial differential equations arises in mathematical models of the synovial fluid found in the cavities of moving joints. The only established mathematical result for this model is the existence of weak solutions for the stationary model. As a subsequent mathematical study, we first construct a finite element approximation of the model and perform the mathematical analysis of the numerical method in two and three space dimensions. Key technical tools include discrete counterparts of the Bogovski operator, De Giorgi-type regularity theorem in two dimensions, and the Acerbi-Fusco Lipschitz truncation of Sobolev functions. Then we move to the unsteady problem, and we prove the existence of global weak solutions of the non-stationary model by using the Galerkin method combined with generalized monotone operator theory and parabolic De Giorgi-Nash-Moser theory. As the governing equations involve a nonlinearity with a variable power-law index, our theory exploits the framework of generalized Lebesgue and Sobolev spaces with variable-integrability exponent.</p>

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.285
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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