Bibliographic record
Abstract
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 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; both teacher heads agree on what is shown here.
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".