Biologically Structured Water (BSW) - A Review (Part 1): Structured Water (SW) Properties, BSW and Redox Biology, BSW and Bioenergetics
Bibliographic record
Abstract
A review of biologically structured water (BSW) is needed to support a more convincing argument of the significance of organized water to the overall health of living organisms. Research phrases related to BSW water are energized, hexagonal, interfacial, or bound water because they refer to biological water with similar structural, functionality, and general water properties. Structured water is formed by shortening hydrogen bonds (H-bonds) in free water, forming various polymeric water structures. In living organisms, BSW water has liquid crystalline properties that have excellent redox qualities due to the energized state of the hexagonal ring structure. Each hexagonal ring has a vortex of delocalized electrons and protons that form pi orbitals above and below each ring, contributing to myriad redox reactions within cells. In addition, the energized hexagonal water rings can be readily split or ionized with minimal energy inputs, providing the oxygen-based ions needed to initiate water respiration. The water respiration pathway can convert the high-grade chemical energy stored in energized, biologically structured water into supplemental energy for cells. The water respiration theory based on interfacial structured water is revisited due to recent findings of superconductivity water properties. The contribution of energized BSW water to redox biology and water respiration can be associated with improved metabolic efficiency and enhanced physiological performance in all life forms. Finally, this article will review recent findings involving quantum biology and BSW water. When BSW water is confined in extremely small sites such as proton wires or water wires, the water properties take on strange quantum properties that stretch the accepted theories of chemistry and physics.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".