Nanosatellite nonlinear attitude control testing on an air bearing system
Bibliographic record
Abstract
Diets are shown to be capable of shaping the gut microbiota of earthworm, while the effects of distinct foods on bacterial communities of different digestive tracts of earthworm are unknown. For this purpose, cow dung (CD) and domestic sludge (DS) were chosen as diets for earthworms (Eisenia fetida), and different gut contents, namely gizzard + foregut area, hindgut, and mature vermi-compost were sampled for Illumina sequencing analysis. We found that there existed significant reductions in bacterial diversity and abundance in the gizzard + foregut area, where there were stable bacteria with the ability of biodegradation of xenobiotics, such as Amycolatopsis, Methylobacterium, Ralstonia, Ochrobactrum, and Sphingomonas. The decreases could be recovered in the hindgut and mature vermi-compost to different extents, suggesting that a bottleneck effect on the bacterial community occurred in the gizzard + foregut area. Beta-Proteobacteria was the most abundant subclass regardless of the different diets, and bacteria affiliated with gamma-, delta- and epsilon-subclasses were taken as food by the earthworms. Vermi-composts based on the various diets should be used differently according to different aims.
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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 | 0.000 | 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) | 0.000 | 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 teacher head, 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".