Impact of Cable-deck Interaction on the Efficiency of External Damper in Controlling Stay Cable Vibration on Cable-Stayed Bridges
Bibliographic record
Abstract
Nin one binding (NOB1) gene has been reported up-regulated in several types of cancer. The aim of this study was to investigate the expression profile of NOB1 in non-small-cell lung cancer (NSCLC) and assess the clinical significance. qRT-PCR was used in the detection of NOB1 mRNA expression both in NSCLC tissue and in adjacent normal lung tissue. Western blot analysis and immunohistochemistry were used in the detection of NOB1 protein expression. The clinicopathological implications of NOB1 were analyzed statistically. It was confirmed by RT-qPCR that expression of NOB1 mRNA in NSCLC cells was higher than in human lung cells (P < 0.05), and NOB1 mRNA was also over-expressed in NSCLC tissue when compared with adjacent tissue and normal lung tissue (P < 0.05). Western blot analysis showed that NOB1 protein was significant increased in NSCLC cell lines compared with human lung cell line. Western blot analysis and immunohistochemistry showed that NOB1 protein was significant increased in NSCLC tissue compared with adjacent tissue and normal lung tissue (P < 0.05). There were significant associations between NOB1 expression and TNM stage, lymph node metastasis, and histopathological grade (P < 0.05), but not gender, age, smoke, or tumor diameter (P > 0.05). Our results suggest that enhanced expression of NOB1 gene plays an important role in the occurrence and development of NSCLC. NOB1 may be a potential therapeutic target in NSCLC.
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 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".