Türkiye’de Endemik Olarak Yetişen Ferulago mughlae Peşmen ve Ferulago sandrasica Peşmen ve Quezel Türlerinin Antibakteriyel ve Antifungal Etkileri
Bibliographic record
Abstract
Bu çalışmada, Ferulago mughlae
 ve Ferulago sandrasica (Apiaceae)
 türlerinin toprak üstü ve köklerinden hazırlanan metanollü ekstrelerin
 antibakteriyel ve antifungal etkileri incelenmiştir. Antibakteriyel ve
 antifungal aktiviteleri belirlemek amacıyla Kirby-Bauer disk difüzyon testi
 kullanılmıştır. Tüm ekstreler sadece Staphylococcus aureus ATCC 25923 suşuna
 karşı inhibisyon zonu oluştururken, Escherichia
 coli ATCC 25922, Pseudomonas
 aeruginosa ATCC 27853, Streptococcus
 pyogenes ATCC 19615 ve Bacillus subtilis ATCC 6633’a karşı tüm ekstrelerde
 inhibisyon zonu gözlenmemiştir. Bacillus
 cereus ATCC 117782’a karşı F. mughlae
 kök ekstrelerinin 5000 ve 2500 µg/mL dozunda inhibisyon zonu gözlenmiştir. F. mughlae herba ekstrelerinin S. aureus ATCC 25923 dışında Haemophilus influenza ATCC 4447’ya karşı
 inhibisyon zonu oluşturduğu gözlenirken, F.
 sandrasica kök ekstresi Enterococcus
 faecium NJ-1 ATCC’ya benzer olarak inhibisyon zonu oluşturmuştur. Bu
 nedenle bu bitkilerin antimikrobiyal hastalıklarda kullanılabileceği ve
 sentetik ilaçlara karşı bitkisel alternatif olabileceği sonucuna varabiliriz.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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; both teacher heads 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".