Abstracts of the Sixth International Symposium on Myocardial Cytoprotection: From Basic Science to Clinical Perspectives: October 7 to 9, 2010, Pécs, Hungary
Bibliographic record
Abstract
Dear colleagues, fellow scientists and guests, It gives me tremendous pleasure to welcome you to the sixth International Symposium on Myocardial Cytoprotection (ISMC 2010). The venue of the symposium by tradition is the breathtaking and beautiful Pecs, the southern capital of Hungary. Pecs with its rich cultural heritage going back to the ancient Roman times was voted to be the cultural capital city of Europe for 2010. The first ISMC symposium dates back to 1996 which was organized by the Department of Experimental Surgery of Pecs Medical University and the Experimental Section of the Hungarian Society of Cardiology. The conferences that followed consecutively in 1998 and 2000 had already made Pecs a meeting point for enthusiastic scientists in the field of cardiovascular work from all across Europe. The fourth and fifth ISMC conference held in 2003 and 2006 innovatively went transatlantic and brought a new society closer to the symposium, the International Academy of Cardiovascular Sciences under the leadership of Professor Naranjan S Dhalla which made scientific contributions reach new heights with fresh and exciting ideas. This symposium also saw the emerging role of leading speakers from the United States and Canada which added flavour to both the scientific and social programs. This year’s symposium along with its previous contributors will be held in collaboration with the Heart Institute of Pecs University bringing together a new and exciting group of scientists presenting their colourful ideas to enrich the symposium. Conventionally the ISMC has over the five previous symposia granted an atmosphere for international and national researchers of cardiovascular work to come together, discuss and present their latest concepts and ideas from bench to bedside in experimental and clinical work. The ISMC has also added to its credit the opportunity for young scientists to participate and make priceless contributions making room for discussion and debate in cardiovascular research. I thank all the participants in advance from several countries for their precious efforts. As hosts to this event we will make every effort to make their stay memorably packed with a mixture of science, culture, hospitality and tradition. With a warm welcome, I hope to see you at ISMC 2010 in Pecs.
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 | 0.001 |
| 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) | 0.000 | 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".