Effect of Heat Stress on Physiological,Hormonal and Blood Biochemical Indexes in Labrador Dogs
Bibliographic record
Abstract
The purpose of this paper was to study physiological and biochemical status of dogs with heat stress and find the meanings of these indexes as the indicator of heat stress.The common physiological,hormonal and blood biochemical indexes of twenty-four Labrador dogs were surveyed at 14,18,28,35 ℃respectively.Compared with the normal state at 14 ℃ and 18 ℃,all the measured indexes indicated that dogs were under heat stress at 28 ℃ and 35 ℃.Breathing frequency and seral COR were significantly increased(P0.05)in heat stress,and this increase showed significant correlation(P0.05)with enviromental temperature(T)and temperature humidity index(THI).The rectal temperature and seral ATCH didn't changed significantly.The major seral enzymes such as ALT,ASP,CK,LDH increased significantly in acute heat stress period,then dropped to normal values.GLU and ALP maintained on normal levels.These results indicated that T,THI,COR and breathing frequency are meaningful indexes to study heat stress in dogs.But the rectal temperature,seral ACTH,GLU,ALP didn't changed significantly in heat stress,so these indexes are meaningless.In addition,studies on heat stress proved that ALT,ASP,CK,LDH would changed no rule in different animal modelsand the significance in studies on heat stress should be further studied.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 |
| 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 source (direct Gemma or distilled Codex), 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".