Homage to George E. Palade: the human body viewed as a multicrine system
Bibliographic record
Abstract
`Seldom has a field owed so much to a single man` - in 1971, George Emil Palade wrote these words for Albert Claude, the founder of biological electron microscopy. Now, expressing my profound homage to him, I would like to articulate the same words for George E. Palade, the scientific father of many generations in cell biology research and education. In 1981, I met Palade for first time during the World Physiology Congress held in Budapest, Hungary, and said to him that I know every single word and micrograph published in his articles on pancreatic exocrine secretion. They have driven my research on the secretory pathway in vascular smooth muscle cells (VSMC) studied by electron microscopy (1972-1992). In the present lecture I will focus on two paradigm shifts, namely (i) the transition from light to electron microscopy in studying cell structures and functions made by Albert Claude, George Palade, Christian de Duve and GA¼nter Blobel from the famous Rockefeller group in New York, and (ii) the transition from a `classical` to secretory phenotype of various cell types, e.g. cardiomyocytes, skeletal muscles and liver, bone, stomach, gut and adipose cells, also VSMC, the latter initiated in the 1970s by Maria Daria Haust in Canada and Russell Ross in USA and by our Laboratory of Electron Microscopy in Varna, later renamed Laboratory of Cell Biology. Altogether, these will be discussed in a sense that the human body may be viewed as a multicrine system.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.011 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".