The Prince George Metis Elders documentary project, installation (interactive video)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Diabetes mellitus is the syndrome associated with metabolism having complicated pathogenesis and its morbidity rate is rapidly increasing every year. The present study investigated the preventive effect of salicin ether against type-2 diabetes and explored the underlying mechanism. Salicin ether reduced PPARγ-LBD level and transcriptional property of RXRα-PPARγ in 293T cells. The rosiglitazone significantly (p<0.01) increased grease droplet accumulation in adipocytes in comparison to control adipocytes. Increased grease droplet accumulation by rosiglitazone in adipocytes was reversed on treatment with salicin ether in dose-dependent manner. Salicin ether treatment of the adipocytes effectively suppressed rosiglitazone induced expression of FAS, C/EBPα, aP2, and HMG-CoA genes. Treatment of the adipocytes with salicin ether led to a prominent decrease in rosiglitazone mediated increase in aP2, CHIP, and C/EBPα protein expression. The inhibitory effect of rosiglitazone on expression of p-Akt/t-Akt, PPARa, p-FoxO1/t-FoxO1, and p-AMPK/t-AMPK was significantly (p<0.01) alleviated in the adipocytes by salicin ether. In summary, the present study demonstrated that salicin ether suppressed PPARγ activity and adipocyte differentiation. Moreover, the activation of FoxO1/Akt/AMPK was up-regulated and FAS/EBPα/aP2/HMG-CoA level inhibited by salicin ether in the adipocytes. Thus, salicin ether may be studied further for possible role in the treatment of diabetes.
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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it