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Record W6990237640

Curvature-density functional theory of shape transformation in vesicles of two-component lipid systems / by Ian MacKay.

2006· dissertation· en· W6990237640 on OpenAlexaff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2006
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid Membrane Structure and Behavior
Canadian institutionsCanadian HeritageLibrary and Archives Canada
Fundersnot available
KeywordsVesicleCurvatureWork (physics)MicelleModel lipid bilayerSmall-angle neutron scatteringLipid bilayerPhase diagramNeutron scattering
DOInot available

Abstract

fetched live from OpenAlex

The shape transformations and composition variation of two-component model lipid membrane isolated vesicles are studied.These are studied as aggregates in low concentration solutions so that the vesicles are isolated from each other and interaction effects can be ignored.The seminal work of Julicher and Lipowsky derived a curvaturefunctional free energy, which has predicted or verified many of the experimentally observed behaviors of model vesicles.One aspect that has not been well explored is the composition variation of the liquid domains.In this work, the theory of Julicher and Lipowsky is modified to include couplings between the curvature and composition but the shape of the vesicle is restricted to include only ellipsoids of varying degree of eccentricity and constant area.We also introduce a free energy to describe bilayered micelles ("bicelles").The energetics of this structure is studied and phase diagrams are found for various vesicle-bicelle transitions.The properties of liquid domains, including compositional variations with temperature are also discussed.These results are then compared to experiments on vesicles and bicelles using small angle neutron scattering and nuclear magnetic resonance.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.225
Teacher spread0.213 · 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 designBench or experimental
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
Published2006
Admission routes1
Has abstractyes

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