Editorial Board, Aims & Scope, Table of Contents
Bibliographic record
Abstract
In a paper by Suming Li and colleagues, poly(e-caprolactone)-poly(ethylene glycol) (PCL-PEG) and poly(ecaprolactone/glycolide)-poly(ethylene glycol) (P(CL/GA)-PEG) diblock copolymers were synthesized as potential drug carriers.Self-assembly of the resulting amphiphilic copolymers yielded spherical or wormlike micelles, depending on the copolymer composition and the hydrophobic block length.Worm-like micelles were exclusively obtained for PCL-PEG, whereas spherical micelles were obtained for P(CL/GA)-PEG copolymers because introduction of glycolide disrupted the chain structure.Encapsulation of paclitaxel was realized in the core of micelles with high drug loading.Prolonged drug release was observed, showing that these micelles could be promising for applications as drug carriers.(DOI: 10.1002/ app.45732)This image from Jianzhong Lou and colleagues shows 0.5 wt % graphene (xGnP-5) coated polypropylene pellets.The pre-calculated amount of graphene was first dispersed in isopropyl alcohol (IPA) by magnetic stirring.Then, the required amount of polypropylene pellets was added to the graphene/IPA solution and sonicated.Finally, solvent was evaporated to obtain graphene-coated polypropylene pellets.Compression molding of graphene-coated polymer pellets resulted in electrically conductive material as the graphene coating formed a continuous network.(
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.
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 | 0.006 | 0.026 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.015 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.263 | 0.238 |
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".