Identification of Dysbiosis Related Bacteria from New Zealand’s White Rabbit Intestinal Treated With Lactobacillus plantarum IS-10506 as Probiotics Food Supplementation
Bibliographic record
Abstract
The gastrointestinal microoganisms encompass thousands of bacterial species that constitute a relatively stable ecosystem inside human body. Dysbiosis is an imbalance condition of beneficiary microbacteria cause by newer microorganism. This research aimed to investigate the effect of L. plantarum IS-10506 as probiotics supplementation on total bacterial and Enterobacteriaceae count; and also to identify the dysbiosis causing bacteria. Total bacterial and Enterobacteriaceae number on both control and test group were determined by Total Plate Count method. Identification of dysbiosis related bacteria were determined by fermentation test, gram staining, and Microbact™ 12A kit. The TPC result of total bacterial population on control group was 222.67 x 106 cfu/ml, while the probiotics induced group was 210.33 x 106 cfu/ml. As for the TPC result for Enterobacteriaceae population from control group was 12.00 x 106 cfu/ml, Enterobacteriaceae population in the probiotics induced group was 11.66 x 106 cfu/ml. Four genera related to dysbiosis has been isolated from the intestinal sample and all are rod-shaped Gram negative bacteria. In conclusion, the use of L. plantarum IS-10506 as food supplementation has reduced the total bacterial count. Four genera of dysbiosis related bacteria has been identified from the intestinal sample which include Eschericia, Serratia, Enterobacter, and Citrobacter.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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 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".