EFFECTS OF CRYSTAL SIZE AND ORIENTATION OF SUBSTRATES ON CELL ADHESION: IMPLICATION FOR MEDICAL IMPLANTS
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 aim of this study is to investigate the effect of atomic structure of polycrystalline materials on cell-substrate interactions. Samples are prepared from rods and sheets of Ti -6 Al -4 V substrates with predominately two distinct crystallographic orientations as well as nano-structured and annealed titanium fabricated through high-pressure torsion and heat treatment processes. The degree of preosteoblast attachment and rate of growth, which are regulated through the activity and interaction of proteins present in the extracellular matrix, are notably increased on the nano-structured titanium and substrate having predominant [Formula: see text] orientation. The improved cell activity is attributed to the nano-structured feature of these substrates consisting of ultra-fine crystals (< 50 nm) and specific atomic order of [Formula: see text] substrate which provide higher degree of surface wettability. These findings demonstrate the advantages of nano-structured titanium over the conventional and coated titanium implants, as both mechanical properties and cellular response are improved. Furthermore, crystal orientation of the substrates can influence cell responses and, therefore, substrate engineering can be used to improve and control cell-substrate interactions.
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