Preparation of UV-cured nanocomposite epoxy coatings for the protection of metal substrates against corrosion
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
<b><i>Purpose:</i></b> Childhood and adolescent survivors of cancerous lower-extremity bone tumors may be at unique risk of uncertainty about their future because of their specific cancer and/or physical disabilities secondary to treatment. This study aimed at clarifying survivors' uncertainty and related factors, including physical functioning, limb pain, and management of affected limbs. <b><i>Methods:</i></b> Self-administered questionnaires were distributed at two cancer hospitals in Japan. Thirty-six survivors diagnosed with osteosarcoma or Ewing sarcoma were included in our study. Uncertainty was evaluated by using Mishel's Uncertainty in Illness Scale-Community Form (MUIS-C), and physical functioning was evaluated by using The Toronto Extremity Salvage Score (TESS). <b><i>Results:</i></b> The average score of MUIS-C was lower that than reported for other previously studied childhood cancer survivors. Uncertainty was significantly higher in survivors who had lower levels of education, pain in their limbs, and difficulty managing their affected limb. Correlational analyses indicate that high scores for TESS, less limb pain, and high ability to manage affected limbs were related to low uncertainty. <b><i>Conclusion:</i></b> Health care providers need to assess survivors' degree of limb pain and their self-management for general health and affected limbs. It might be possible to improve their daily life. Assisting childhood and adolescent survivors of bone tumors to manage affected limbs and limb pain could prevent chronic uncertainty.
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