pH Monitoring of Tumor Microenvironment and Low Volume of Urine in Experimental Rats
Bibliographic record
Abstract
The pH monitoring of the tumor microenvironment in vivo seems to be in fact complicated and technically quite challenging nowadays. Also the strategy of measuring urine pH of a little amount is not fully solved. Thus, the aim of our study was to monitor pH of urine samples (< 0.1 ml) and of tumor microenvironment of anesthetized rats in a minimal invasive way. The small urine volumes of rats or mice make pH measurements difficult, as standard pH electrodes usually need a minimal volume of several milliliters to function. The manual micromanipulator together with a needle-type housed pH microsensor offers a simple and effective way to do so. Our results show that pH of urine and tumor microenvironment was lower in tumor bearing rats compared to healthy subjects. The unique technology of pH microsensors could be a promising way to monitor the pH in many experimental designs and clinical praxis.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 teacher head, 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".