Additional file 1 of Cellulose ether treatment inhibits amyloid beta aggregation, neuroinflammation and cognitive deficits in transgenic mouse model of Alzheimer’s disease
Bibliographic record
Abstract
Additional file 1: Figure S1. AβO characterization. Figure S2. A representative non-denaturing PAGE of Aβ 6E10. Figure S3. Effect of TC-5RW on cell viability of human neuroblastoma N2a cells. Figure S4. TC-5RW reduced Aβ amount in the media of SH-SY5Y and N2a cells. Figure S5. TC-5RW reduced activated astrocytes and microglia in 5XFAD mice. Figure S6. Confocal images of double-immunofluorescence of GFAP (green) and GMFβ (red) staining in the hippocampus regions CA3 and DG of brain. Figure S7. Double immunocytochemistry results of GMFβ (green) and GFAP (red) staining in C8D1A astrocytic cells, which were incubated with LPS (1 µg/ml) in the absence and presence of TC-5RW (10 µg/ml) for 24 h. Figure S8. Uncropped immunoblotting and dot blotting used in Fig. 3. Figure S9. Uncropped immunoblotting results used in Fig. 4. Figure S10. Uncropped immunoblotting results in Fig. 5.
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 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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.873 | 0.141 |
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".