FTIR Measurement of Human Energy Fields (Evidence of the Existence of Human Inner Power)
Bibliographic record
Abstract
It was argued that human energy consists of physical energy that related to metabolism in the human body and the invisible part represented by the human energy field (HEF). This energy can be generated by a person by using a special excercise. In term of Indian metaphysical theories this energy is called “Chakras” which represents an integrated energy centers. The paper investigates the measurement the Chakra energy by looking at the effect of this energy on the molecular structure of mineral water. The experiment is carried out by providing Chakra energy generated by varying Jurus to a water sample and measured in FTIR. The existence of Chakra energy then analyzed by its effect on the spectrum. The results show that Fourier transform infrared spectroscopy (FTIR) spectra of the mineral water has given Chakra energy have transmitance lower than normal mineral water. The Chakra energy reduce the transmittance but the majority of them does not change a pattern or shift the top of the spectrum. The explicit energy of molecular vibration will be studied by using the Fourier decomposition. This shows that a weakening of molecular vibration occurs to the higher Jurus with a decline in the amplitude of vibration almost half or less.
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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 | 0.001 | 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) | 0.003 | 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".