Surface characteristics of chemically modified newsprint fibers determined by inverse gas chromatography
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
The surfacc characteristics of trcated waste newsprint fibers were investigated using inverse gas chromatography (IGC).The surfaces of waste newsprint fibers were modified with y-aminopropyltriethoxysilanc, dichlorodiethylsilane (DCS), phthalic anhydride (PA), and maleated polypropylene.The el'fcctivene\s of these surface treatments was monitored tly the IGC adsorption curves using n-alkanes and acid-base probes.The empirical acid (K,,) and balje (K,,) characteristics (i.e., electron donor1 acceptor abilities) of untreated and trcated newsprint fibers were determined using Schultz's method and were correlated with the surface chemical compositions determined from X-ray photoelectron spectroscopy and Fourier transform infrared spectroscopy.The results indicated that the surface of untreated newsprint tibers had an acidic characteristic due to the electron acceptor character of the hydroxyl protons.The newsprint fibers reacted with phthalic anhydride or nialcated polypropylene also exhibited an acidic surface hchavior attributed to pen~dent carboxylic groups.Dichlorodiethylsilane produced a strong acidic surface attributed to the highly elcctronegative nature of the chlorine atoms of dichlorodiethylsilane.Howevel-, when the fibers were reacted with y-arninopropyltriethoxysilane, the basic characteristic (electron donor ability) of the fiber surfacc was increased, presumably by the prescnce of attached amino groups.k'ryrtords: Acid-base properties.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.009 |
| 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 it