Grain refinement of arch-melted beryllium-6 wt% copper
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The worldwide ethnobotanical use of four investigated plants indicates antibacterial properties. The aim of this study was to screen and determine significant antibacterial activity of four plant extracts in vitro and in a poultry digest model. Using broth microdilution, the concentrations at which four plant extracts inhibited <i>Listeria monocytogenes, Salmonella enteritidis,</i> and <i>Escherichia coli</i> over 24 hours was determined. <i>Agrimonia pilosa</i> Ledeb<i>, Iris domestica</i> (L.) Goldblatt and Mabb<i>, Anemone chinensis</i> Bunge<i>,</i> and <i>Smilax glabra</i> Roxb all exhibited a minimum inhibitory concentration (MIC) of 62.5mg/L and a minimum bactericidal concentration (MBC) of 500mg/L against one pathogen. <i>A. pilosa</i> Ledeb was the most effective against <i>L. monocytogenes</i> and <i>E. coli</i> with the exception of <i>S. enteritidis</i>, for which <i>A. chinensis</i> Bunge was the most effective. Time-kills of <i>A. pilosa</i> Ledeb and <i>A. chinensis</i> Bunge against <i>L. monocytogenes, E. coli</i> and <i>S. enteritidis</i> incubated in poultry cecum were used to determine bactericidal activity of these plant extracts. <i>A. chinensis</i> Bunge<i>,</i> significantly reduced <i>S. enteritidis</i> by ≥ 99.99% within 6 hours. <i>A. pilosa Ledeb</i> exhibited effective significant bactericidal activity within 4 hours against <i>L. monocytogenes</i> and <i>E. coli</i>. This paper highlights the potential of these plant extracts to control pathogens commonly found in the poultry gastrointestinal tract.
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.
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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it