Notice bibliographique
Résumé
Were dinosaurs lethargic, cold-blooded creepers or lively, warm-blooded creatures? This controversy has plagued paleobiologists for decades and prompted Roger Seymour at the University of Adelaide and collaborators in Australia, Canada and Germany to employ a novel measurement to investigate the matter: one in our very bones! The nutrient foramen of a bone is an opening through which blood vessels enter, supplying blood to the bone cells inside. These active cells require the oxygen and nutrients in blood to dissolve older bone and to deposit new bone during growth and maintenance (remodelling) throughout life. Seymour wondered whether the size of these entryways might indicate the amount of blood required to sustain the bone. Highly active animals might require more bone maintenance (because of a higher incidence of tiny fractures in bone caused by locomotion) and consequently a greater blood supply.The team measured the nutrient foramen, volume and mass of the femur (the large leg bone crucial for support and locomotion) in 59 mammalian species and 40 reptilian species, ranging in size from mice to elephants and geckos to crocodiles. They then set about assessing how these data relate to body mass and metabolic rate values obtained from previous experiments. The researchers discovered that larger animals have larger bones and larger bone holes, but the holes in mammals are much larger than those of most reptiles of the same body mass.The team also found that the scaling of foramen size is closely related to maximum whole-body metabolic rate during exercise in both mammals and reptiles, though less closely related to basal metabolic rate. This suggests that blood supply through the holes relates to bone maintenance requirements following activity, and that blood flow to bone is about 10 times higher in mammals than in reptiles. This fits with the fact that mammals have much higher metabolic rates during exercise than reptiles, requiring more oxygen to fuel their muscles and other tissues, including the cells responsible for bone remodelling. In addition to a larger nutrient foramen, mammals also benefit from higher blood pressures and blood that can carry more oxygen, all of which contribute to a much larger oxygen supply for mammalian tissues. Interestingly, varanid reptiles, including active hunters like the Komodo dragon and monitor lizards, had a foramen size similar to that of mammals. Varanids are capable of increasing their metabolic rates far above those of other reptiles, filling a niche akin to mammalian predators. Varanids also remodel their long bones, but other living reptiles apparently do not.Next, the researchers took their analysis one step further to fossils from 10 species of dinosaur. They found that dinosaurs have even larger bone holes than mammals (even after correcting the results for body mass differences). This suggests that dinosaurs were highly active and lively, perhaps even more so than mammals! Make no bones about it, this implies that the notion of dinosaurs as sluggish and sloth-like may soon be as extinct as the charismatic creatures themselves. Novel applications of these parameters could also provide insight into activity levels of other living and extinct vertebrates.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,009 |
| Communication savante | 0,004 | 0,006 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,003 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».