Plasma Pulse Technology to Control Zebra Mussel Biofouling
Bibliographic record
Abstract
A plasma sparker has been developed by Sparktec Environmental Inc. to control settlement of zebra and quagga mussels. Plasma pulse technology is a physical, nonchemical, nonthermal process for introducing energy directly into an aqueous solution. This patented system is made up of three separate components, a power supply to control the power management, a capacitor storage bank to store the required energy, and a submersible assembly where this energy is released to the water. When the plasma sparker is activated, electrical energy stored by capacitors is released between two submerged electrodes in microseconds. A plasma channel is formed because of this high current/high voltage electrical discharge. The discharge process consists of at least three primary events, an intense shockwave, a steam bubble which may lead to a supercritical water phase where oxidation of organic substrates will occur, and ultraviolet light. The technology is currently in use in several utilities and industries in Canada and the United States. These experiments, most of which are now completed, are designed to show what mechanisms are being employed to control zebra mussel biofouling in pipelines. Mechanisms being evaluated are: (1) indirect control through continuous application of pulsed power to limit biofilm biomass and composition; (2) direct control through continuous application of pulsed power to (a) kill the zebra mussels, (b) detach mussels already settled, (c) prevent settlement of new recruits and reattachment of translocators; and (3) control by application of pulsed power for short durations to sustain permanent damage to shells or weaken the mussels sufficiently that they eventually die.
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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 | 0.000 | 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".