An investigation of the application of ultrasound as a rapid method to provide DNA fragments suitable for detection by DNA biosensors
Bibliographic record
Abstract
Ultrasound exposure was examined as a method to cleave genomic DNA in a rapid manner. High frequency ultrasound of 20 kHz was applied to DNA solutions under a variety of experimental conditions. A Yates Pattern Analysis determined that ionic strength and the duration of sonication were the most significant factors impacting fragmentation patterns. A salt concentration of 1 M caused genomic DNA to resist fragmentation and fragment sizes were centred near 500 base pairs and larger. Decreasing the ionic strength to 0.l M NaCl or less resulted in the formation of fragment sizes close to 100 base pairs. Manipulation of these factors allowed for some control of fragmentation patterns. Hyperchromicity experiments, studies considering the influence of various gases, and simulations to determine the probability of destroying a target sequence were also done. Experiments suggested that ultrasound can be used as a rapid method to generate DNA fragments.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".