Repurposing food losses for pigs: a sustainable feed solution without compromising animal behavior
Bibliographic record
Abstract
EDITORIAL The 8th EAAP International Symposium on Energy and Protein Metabolism and Nutrition (ISEP) took place in Rostock-Warnemünde, from 15 to 18 September 2025. Twenty-two years after hosting the 1st EAAP International Symposium on Energy and Protein Metabolism and Nutrition in 2003, Rostock-Warnemünde once again welcomed ISEP. Since its inception, the triennial symposium has been held in Vichy (France), Parma (Italy), Sacramento (USA), Krakow (Poland), Belo Horizonte (Brazil), and Granada (Spain). ISEP 2025, an event organised by the Energy and Protein Metabolism Working Group belonging to the EAAP Nutrition Commission, comprised nine scientific sessions featuring a wide range of lectures and poster presentations on the nutrition and energy, protein and micronutrient metabolism of farmed animals and pets, environmental aspects of animal production, feed science, taste and diet selection and innovative research methods in animal nutrition. Nine distinguished invited speakers and 250 participants from more than 25 countries presented and discussed the latest scientific findings in the field. The symposium was officially opened by the President of the EAAP, Dr. Joel Bérard. Beyond the scientific programme, the symposium also provided opportunities for networking and exchange, including the Welcome Evening, the Social Dinner, and the Breakfast with Professors for young scientists. The success of ISEP 2025 was made possible by the contributions of many. The EAAP International Scientific Committee of ISEP, the President of the EAAP Nutrition Commission, Prof. Luciano Pinotti, and numerous collaborators critically revised more than 220 submitted abstracts and contributed to the organization of the scientific sessions. The Local Organizing Committee extends its gratitude to our generous industry sponsors, the German Research Foundation (DFG), our home institution, the Research Institute for Farm Animal Biology (FBN), and our partner universities — Universität Rostock, Freie Universität Berlin, and Christian-Albrechts-Universität zu Kiel — for their support. We also thank all participants for their scientific contributions, discussions, and engagement, which made the symposium a stimulating and memorable event. The Local Organizing Committee of ISEP 2025 Cornelia C. Metges, Björn Kuhla, Harald M. Hammon, and Gürbüz Daş Research Institute for Farm Animal Biology (FBN), Dummerstorf https://www.fbn-dummerstorf.de/ https://isep2025-fbn.de/
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| 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".