PENGARUH PERSEPSI KEBERMANFAATAN, PERSEPSI KEMUDAHAN,PERSEPSI KERUMITAN, DAN PERSEPSI KEPUASAN WAJIB PAJAKTERHADAP PENGGUNAAN E-FILLING BAGI WAJIB PAJAK ORANG PRIBADI DI KOTA KUDUS
Bibliographic record
Abstract
The blood-brain barrier (BBB) restricts the delivery of drugs into the brain. Different strategies have been developed to circumvent this obstacle. One such approach, the osmotic BBB disruption (BBBD), has been under pre-clinical study since the 70's. Typically, qualitative ex vivo assessment of the extent of BBBD has been performed using Evan's blue staining technique. In this study, we describe a simple quantitative technique based on albumin indirect immunohistochemistry to measure the extent of BBB breach. Thirty Fischer rats were assigned to one of 6 groups: a control group, and BBBD groups with escalation in IA mannitol infusion rate: 0.06, 0.08, 0.10, 0.12 and 0.15 cc/s. Fifteen minutes after the BBBD procedure, the animals were sacrificed, brain harvested and sections stained for albumin. Using an image analysis software, isolated albumin staining pixels were expressed as a fraction of the treated hemisphere. This ratio was used as a percentage value in the intensity of the BBB permeabilization. All sections studied harbored staining, averaging 0.37% for the controls (group 1), 5.69% for group 2 (0.06 cc/s), 10.44% for group 3 (0.08 cc/s), 6.99% for group 4 (0.1 cc/s), 18.50% for group 5 (0.12 cc/s) and reaching 61.70% for group 6 (0.15 cc/s). Important variations were observed between animals. A threshold effect was observed, and animals in group 6 presented a significant increase in BBB permeabilization compared to the other groups. We hereby detail a simple technique that can be applied to quantitatively measure the extent of the BBB breach notwithstanding the pathological process.
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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 | 0.013 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.005 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| 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".