Transport phenomena with reactions in drug delivery: Towards a quantitative description
Bibliographic record
Abstract
Abstract A distributed system called a Krogh cylinder is used here to quantify the transport of a solute from the capillary into the extravascular tissue. The capillary network is broken down into cylindrical cells, each containing a capillary and an appropriate amount of extravascular tissue. The flow in the cylinder model has two‐dimensional velocities, which are in the axial and radial directions. All parameters of the system, together with the geometric ones, have been included in the model. For a given bioavailability, the uptakes of reactive and nonreactive solutes have been obtained. Very large or massive molecules have been considered. The diffusion in the tissue is found to be very low. Most of the drug uptake happens through convection, which is slowed down in the presence of a reaction. Further, this convection is entirely due to the flow out into the lymphatic system. For the case where a reaction takes place, local equilibrium is assumed, which both cuts down the computation times and provides good results in the case of reactive solutes. The full results of a distributed system have been obtained for the first time, and the mechanics of how the area‐under‐the‐curve can be used to calculate the actual solute uptake have been determined.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".