Bibliographic record
Abstract
At the onset of blood flow, red blood cells (RBCs) align along the central plane of the vessels. In capillaries, RBCs transform from a biconcave disk into a parachute shape. As blood transitions from the arterial to the venous end, the hemoglobin in erythrocytes alters its magnetic susceptibility. Within approximately 0.6-0.8 seconds, oxygen is displaced from RBCs through diffusion. This study explores the fundamentals and interconnections of these processes. Blood samples from 35 different healthy individuals were analyzed. The research examined magnetic field induction in ferromagnetic toroids, formed by the alternative electric field with a square wave signal, and studied the AC in the secondary coil - a tube filled with blood. This study discusses the impact of RBC geometry and hemoglobin allosteric transitions on electric signal generation and its relevance to cellular metabolic activity in the body. The findings suggest that the AC field, originating from the heart's rotational dipole, can generate a magnetic field in RBCs, facilitating the allosteric transformations of hemoglobin. Hemoglobin's thermoelastic expansion and magnetostriction cause biconcave membrane oscillations at ultrasound frequencies. The resulting electroacoustic wave rotates charges at the cell's z-potential area, aids RBC migration into the flow plane, and enhances trans capillary diffusion of substances. An electroacoustic standing wave emerges between the oscillating RBCs, coinciding with the wavenumber of externally penetrating infrared light. The synergic influence on hemoglobin in capillaries causes the RBC membrane to create a temporally frequency-modulated wave, carrying resonance molecular frequencies. This wave regulates biochemical processes within and outside body cells.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 teacher head, 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".