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
In this study, water removal techniques were experimentally developed as a diagnostic tool for the investigation of polymer electrolyte membrane (PEM) fuel cell performance in order to achieve consistent, reliable and repeatable performance. The three water removal methods developed include cell orientation, cell shaking and hydraulic permeation, and instantaneous improvement in the fuel cell performance had been observed when these methods were employed. All the experiments were carried out with a single PEMFC with the active surface area of 50 cm2. Pure hydrogen was used as fuel and air was used as oxidant. It was found that operating the fuel cell at an orientation of 45 degrees towards gas outlet ports helped removing trapped liquid water from the cathode side; when cell assembly was shaken during the fuel cell operation, liquid water was observed to be removed from the cell structure and cell performance was improved. Water removal by hydraulic permeation was achieved by maintaining the pressure of hydrogen stream 10 kPa lower than that of air stream, which helped water removal by the anode gas stream. It was observed that the simultaneous application of these water removal methods allowed the test results obtained to be consistent, reliable and repeatable, and in general it increased the performance by 25% in ohmic polarization region and 30% in mass transport dominant region. Then these methods were applied to investigate the effects of the various operating conditions on the performance of the PEM fuel cell, including the effect of reactants temperature, pressure, stoichiometry, humidification and cell aging.
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 | 0.000 | 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 it