Effects of Various Molecules on the Structure and Dynamics of Lipid Membranes
Bibliographic record
Abstract
Hydration Water Freezing in Single Supported Lipid Bilayers" and the two-dimensional diffusion dynamics of the hydration water of solid-supported, stacked bilayers in the submission "Anomalous and Anisotropic Nanoscale Diffusion of Hydration Water in Fluid Lipid Membranes".Chapter 5 introduces the effect of the ubiquitous molecule ethanol on model membranes in both the gel and fluid phases found by the structural and dynamical changes of the membrane in the publication "Partitioning of ethanol into lipid membranes and its effect on fluidity and permeability as seen by X-ray and neutron scattering".Cholesterol's effect on solid-supported, fluid, stacked lipid bilayers is described in Chapter 6 in the context of a binary lipid membrane.The structure of the domains found within the cholesterol/lipid membrane is informed by coarse-grained molecular dynamics simulations and neutron spectroscopy, which are in excellent agreement.The findings of the simulations and experiment are discussed in the publication "The Structure of Cholesterol in Lipid Rafts".Lastly, Chapter 7 will outline the main findings of these publications and an outlook will then be offered on the directions of future research given the advances made here and the climate of research in this field.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".