Light microscope structure of Vormela peregusna kidney and expression of AQP1,2 in kidney
Bibliographic record
Abstract
Indices such as many kinds of blood inorganic ions and urea nitrogen were measured in this paper. The histological structure of kidney in Vormela peregusna was examined by using biological microscopy. The expression of Aquaporin1,2( AQP1,2) was tested using immunohistochemical and stereological quantitative methods,and the expression intensity of Aquaporin1,2( AQP1,2) was analyzed by using image pro-plus( IPP) image software. The results show that the concentration of K+,Na+,Cl-,Ca2 +in serum of Vormela peregusna is higher than that in rat,however P3+is lower than that in rat. Creatinine,glucose and total cholesterol in serum also are higher than those in rat. Urea nitrogen is much higher than that in rat,and may be related to living in the Minqing Gansu desert and eating rodents that have high protein content. The degree of concentration of urine is high because the ratio of medulla and cortex is 3. 65 ∶ 1 and medulla is wide. AQP1 positive cells were expressed in the epithelium of proximal the convoluted tubule and thin segments of the medullary loop,and AQP2 was mainly expressed in epithelial cells of collecting ducts. Thus,AQP1,2 may play an important role water reabsorption by the kidney and the concentration of urine,which regulated by the water balance of kidney.
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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 | 0.001 | 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) | 0.002 | 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".