High-voltage electrostatic fields increase nitrogen uptake and improve growth of tomato seedlings
Bibliographic record
Abstract
High-voltage electrostatic fields (HVEFs) can increase the nitrogen uptake of plants. An ammonium cation inhibitor, tetraethylammonium chloride, and a nitrate ion inhibitor, 5-nitro-2-(3-phenylpropylamino)-benzoate, were added to ammonium and nitrate growing solutions with and without exposure to HVEFs to investigate the effects of these fields on tomato seedlings. The seedlings were exposed to HVEFs with field intensities of 2.25 and 2.5 kV cm−1, respectively, for 8 h and the dynamic absorption of nitrogen ions was comparatively analyzed. The seedlings exposed to HVEFs were planted in a greenhouse, the diameter and length of their stems were measured after a 20-d growth period, and their fruit yield was recorded after harvest. Results demonstrated that HVEFs with field intensities of 2.25 and 2.5 kV cm−1 could respectively improve the dynamic absorption of and by the hydroponically grown tomato seedlings. Many channel proteins were also activated by HVEFs as nitrogen uptake increased. HVEF treatment in the seedling stage is a potential mechanism to enhance nitrogen uptake, cultivate shorter and stockier seedlings, and increase yield.
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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 | 0.000 | 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".