Bibliographic record
Abstract
Endorphins are endogenous morphine, neuropeptides produced from pituitary gland in response to stress and pain. These are of three types- beta-endorphins, dynorphins, enkephalins, binds to mu, kappa, delta receptors found on immune cells and nervous system. Beta-endorphins is the most abundant endorphin synthesized and stored in the anterior pituitary gland. It has got various activities such as Immune stimulatory activity, anti-inflammatory activity, analgesic activity, stress buster, and anti-aging activity. Immune stimulatory activity by activation of NK cells, macrophages, T-lymphocytes, anti-inflammatory activity by production of cytokines, such as IL-18, 1L-10, analgesic activity by inhibiting substance-p, anti-ageing by suppressing ROS, RNS, free radicals and lengthening telomeres, stress buster activity by decreasing cortisol and nor-adrenaline, dopamine release involved in holistic, preventive, promotive, therapeutic and palliative treatment of cancer without any adverse affects and inexpensive. This article brief about the current concept of novel actions of endorphins in holistic treatment of cancer .
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".