Estimation of Internal Filtration Flow Rate in a Dialyzer by a Doppler Ultrasonography
Bibliographic record
Abstract
Several types of dialyzers with enhanced internal filtration have been introduced in order to increase solute clearance, especially in relatively larger molecular solutes. In these dialyzers, enhanced internal filtration increased convective transport of the solute in addition to diffusive transport. The internal filtration flow rate (QIF) has not, however, been measured in clinical situations, because none of monitoring techniques can measure this value. Herein, the QIF value was estimated during an experimental and an analytical study. Namely, we measured blood flow velocity in a cross‐sectional plane of the dialyzer by pulse Doppler ultrasonography. An in vitro study with bovine blood was carried out to determine the local blood flow velocity profile with a newly designed probe slider that enables parallel movement of the probe along the dialyzer. Furthermore, an analytical model was newly introduced to calculate changes in flow rate and pressure of blood and dialysate streams and solute concentrations along the dialyzer. The QIF value could be estimated by a simulation analysis to the experimental data using the analytical model.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".