Bibliographic record
Abstract
Diatoms are one of the most important groups of photosynthetic microorganisms ubiquitous in all aquatic ecosystems.These inconspicuous organisms have achieved spectacular ecological success and furthermore, are used as model organisms in scientific research in the field of biochemistry and genetics.Their ecological success is provided by their ability to tolerance and fast acclimation to rapid changing environmental conditions.Ecological significance and the ease of culture facilitate investigation and attempts of explanation the mechanisms of processes occurring in these organisms on the physiological, biochemical and genetic level.This review describes a number of our investigation strategies and techniques to understand the phenomenon of these organisms.We focused on five important aspects of diatoms biology, presented here as the five different faces of these algae.Acclimation mechanisms to environmental factors (temperature, light, heavy metals, age of the culture), on physiological and biochemical level at short and long time exposition of diatoms, are presented as the first diatoms face.The second face presents diatoms as organisms useful for phytoremediation.The results of the molecular analyses of the selected enzymes involved in photoprotective mechanisms of diatoms is the third face of these algae.The significance of diatoms as a treasury of bioactive compounds (xanthophylls and long chain polyunsaturated fatty acids) important in human diet, is displayed as the fourth face.Finally, as the only one which has not been investigated in our laboratory, we describe the fifth face of diatomsthe rich source of biofuels.In our research we used two model diatoms species: Phaeodactylum tricornutum and Thalassiosira pseudonana.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".