Different Strategies for Functionalising Nonwovens for Medical Use
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 global megatrends of an ageing population and the growing population, are driving the sustained expansion of healthcare. This is a rapidly growing and constantly evolving discipline that presents a multitude of opportunities that are being addressed by innovations in nonwovens for the diagnosis, treatment and prevention of disease, illness and injury. Nonwovens and other fibrous materials are extensively utilised in the healthcare sector including products from surgical wipes for infection control, to complex implantable grafts. Rapidly evolving clinical demands and new advancements in materials technology means there is a continuous need for nonwovens innovation and functionalisation. Areas of application for healthcare materials in current markets include implantable materials/tissue engineering (artificial ligaments etc), non-implantable materials (wound dressings, hygiene products, ostomy pouches), healthcare environment materials (surgical gowns, materials to reduce healthcare-associated infection (HCAI)), as well as assistive and therapeutic technologies. Professor Goswami will discuss the importance of functionalisation of nonwovens with case-studies from his research centre
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) | 0.044 | 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