Issue Information: Plasma Process. Polym. 3/2019
Bibliographic record
Abstract
The eff ects of the tube diameter in the range of 4-100 μm on the discharge ignition and the plasma properties of Ar microplasma plume are investigated.As the tube diameter decreases to 9 μm, the current density and the electron density reach up to 3.5× 10 9 A/m 2 and 11 × 10 16 cm -3 , respectively.This study is beneficial to the miniature of the plasma jets for biomedical applications and surface modifi cation.Front Cover: Non-thermal high-aspect-ratio atmospheric-pressure Ar microplasmas are generated inside capillaries of inner diameter 4-100 μm.The eff ects of the diameter on the discharge ignition and the plasma properties are investigated.As the diameter decreases to 9 μm, the current density and the electron density reach up to 3.5×10 9 A/m 2 and 11×10 16 cm -3 , respectively.This study may be useful in plasma medicine, UV radiation sources, and the inner surface modifi cation of microtubes.Further details can be found in the article by Shuqun Wu, Fei Wu, Chang Liu, et al. (e1800176). Back Cover:The glow-like helium atmospheric pressure plasma jet is combined with clinical antitumor drug-Tegafur-to treat pancreatic tumor cells in vitro by employing two kinds of adding sequences (① plasma + drug; ② drug + plasma).The synergistic eff ect on inhibiting the proliferation of tumor cells is achieved when use the former adding sequence, but the antagonism between drug and plasma dominated in the latter case.It is hopeful to promote the application of the plasma in clinic therapy for cancer.Further details can be found in the article by Zhengshi Chang, Guoqiang Li, Jinren Liu, et al. (e1800165).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.726 | 0.491 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".