A Double-differential Actuation for an Assistive Hip Orthosis
Bibliographic record
Abstract
The great importance of long non-coding RNAs (lncRNAs) in tumorigenesis has been acknowledged gradually. <i>LINC01857</i> is previously reported to be highly expressed in gastric cancer (GC), while the regulatory mechanism of <i>LINC01857</i> in GC is largely unknown. In this study, we detected high expression of <i>LINC01857</i> from the GC microarray GSE109476. Additionally, <i>LINC0185</i>7 expression is remarkably upregulated in GC cell lines (AGS, MKN-45, HGC-27, and SGC-7901) compared with the normal gastric mucosal cell line GES-1. Functionally, <i>LINC01857</i> knockdown suppressed the proliferation, migration, invasion, and epithelial-mesenchymal transformation (EMT) of GC cells, while <i>LINC01857</i> overexpression promoted the proliferation, migration, invasion, and EMT of GC cells. Furthermore, our data demonstrate that <i>LINC01857</i> targeted <i>miR-4731-5p</i> and subsequently increased the expression of HOXC6 in GC. Rescue experiments showed that <i>miR-4731-5p</i> inhibition and HOXC6 overexpression could reverse the biological behavior of GC cells induced by <i>LINC0185</i>7 knockdown. In conclusion, we demonstrated that <i>LINC01857</i> sponged <i>miR-4731-5</i>p to promote the expression of HOXC6 and eventually acts as an oncogene in GC.
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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) | 0.000 | 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) | 0.001 | 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".