Influence hematological and biochemical parameters by different dogs.
Notice bibliographique
Résumé
The topic of this diploma work was to evaluate the hematological and biochemical indicators of various breeds of dogs. The aim of this work was to evaluate the blood samples taken from 10 dogs and 10 bitches of various breeds and find out the dependency of values in relation to their age, nutrition and sex. The samples were processed and evaluated from May to October 2015. The following was examined from the hematological indicators: RBC, HGB, HCT, MCV, WBC and a blood smear was made, from which a differential count of leucocytes was made. Furthermore, the following biochemical indicators were examined: TP, GLU, CHOL and ATP. The literature research first focused on the basic components of dog feed. Moreover, the hematological and biochemical indicators of blood as well as the methodology of the whole experiment were described. The results were processed with the aid of the RStudio program and the following basic statistical characteristics were counted: median, minimum, maximum and standard deviation. The ANOVA statistical method was used, in which the dependency of values among sex, age category and the type of feed fed to the animals was determined. Furthermore, the values among the breeds were compared. From the differences observed among the breeds, there was an increase in red blood cells in German Shepherds and Dobermans. Dobermans, Labrador Retrievers and German shepherd crossbreeds had increased values of ALT. Significant findings showed that there was an increase in the number of red blood cells and hematocrits in subjects fed with granulated feed as opposed to subjects with a combined diet. The difference was also observed for MCV between the genders. Differences between the genders were found for ALT values. More data would be needed to confirm the relationship to age. ALT values are dependent on the type of feed, where the values are higher in subjects fed with a completely granulated diet. The values of total protein increased in dogs with age. This trend is likely to be observed in bitches. For subjects fed a combined diet (granulated feed + home diet) an increase in the value of total protein was observed with age. For subjects fed granulated feed, this increase was not as significant.
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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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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 ».