Programovatelný LED panel pro velko-objemovou kultivační třepačku INNOVA (New Brunswick)
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
Cultivation is one of the basic methods required for physiological experiments studying the growth and division of microorganisms, including algae and cyanobacteria, and the effect of changes in growth conditions. Furthermore, cultivation of cyanobacteria and algae is an essential prerequisite for biochemical and molecular-biological analyses in most of photosynthetic studies. Such experiments often require well controlled cultivations of large volumes of cell cultures (liters). INNOVA laboratory shakers (New Brunswick) have very good reputation and are used almost as a standard (but not a cheap) equipment in biochemical and mol-biol laboratories. The cultivation of photosynthetic organisms under photoautotrophic conditions is possible in INNOVA shaker, however the standard bulb panel installed inside the shaker, is problematic. The size of the panel is much less than the size of shaker platform, which causes gradient of light intensity from the middle of the platform (160 microE photons) to each side (30 microE photons). Also, this bulb panel is not provided with a regulation of light intensity and together these parameters very limit the usability of the shaker for the cultivation of photosynthetic organisms.\n\nWe constructed LED panel, which size is exactly of the size of shaker lid and the panel is covered evenly by LED strips. Light intensity is thus very evenly distributed over the entire surface of the platform and can be set to any value from 0 - 400 microE photons. Light – dark cycles (panel on/off) can be also programmed. Combination of this light panel and INNOVA shaker (a precise setting of rpm and temperature) is a powerful tool for the preparation of large volumes of photosynthetically grown liquid cultures under strictly controlled growth conditions. \n\n
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it