Merits and Limitations of Distributed Leadership: Experiences and Understandings of School Principals
Bibliographic record
Abstract
Alphavirus replicons, in which structural protein genes are replaced by heterologous genes, express high levels of the heterologous proteins. On the basis of the potencies of replicons to self-replicate and express foreign proteins and the remarkable intercellular transport property of VP22, a novel alphavirus Semliki Forest virus (SFV) replicon system of VP22 fused with a model antigen, hemagglutinin (HA), of the human-avian H5N1 influenza virus, was explored in this study. Further, replicon particles expressing HA, VP22, and enhanced green fluorescent protein (EGFP) individually were used as controls. By flow cytometry based on the analysis of transfection efficiency, SFV-EGFP replicon particle titer was 1.13 x 10(7)transducing units (TU)/ml. The titers of SFV-HA, SFV-VP22 and SFV-VP22-HA replicon particles, which were titrated by using SFV-EGFP replicon particles, were 1.42 x 10(7), 3.23 x 10(7), and 1.01 x 10(7)TU/ml, respectively. HA and VP22-HA expression was observed in SFV-HA- and SFV-VP22-HA-transfected BHK-21 cells, respectively. Immunofluorescence staining revealed that the fluorescence intensity in the SFV-VP22-HA-transfected BHK-21 cells was more than that in the SFV-HA-transfected BHK-21 cells. Both SFV-VP22-HA and SFV-HA replicon particles presented a promising approach for developing vaccines against human-avian influenza. VP22-HA fusion protein with similar trafficking properties may also enhance vaccine potency.
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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 | 0.002 |
| 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 | 0.001 |
| 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 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".