Direct Patterning of Free Standing Three Dimensional Silicon Nanofibrous Network to Facilitate Multi-Dimensional Growth of Fibroblasts and Osteoblasts
Bibliographic record
Abstract
The advent of tissue engineering has invigorated interest in novel tissue regeneration matrices. An ideal matrix that simulates the natural extra cellular matrix (ECM) should be nanoscale, with three dimensionally interconnected nanofibers which cannot be generated by current methods such as electrospinning. Furthermore, certain biocompatible materials like silicon cannot be electrospun. We present a novel MHz laser synthesis method that permits sub-100 nm scale structures on any material, including silicon, that mimic the natural ECM. Owing to its three dimensional interlinked nature, the nanofibrous substrate is shown to guide the osteoblasts and fibroblasts to grow not only planarly to the surface, as is true for conventional scaffolds, but also expand and grow upward vertically. This method of synthesis demonstrates promise for novel three dimensional (3D) scaffolds that can assist in tissue and bone regeneration and a myriad of other applications such as drug delivery and biosensing.
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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 | 0.000 |
| 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".