ECONOMIC VALUE ADDED (EVA) AS A PROXY FOR MARKET VALUE ADDED (MVA) AND ACCOUNTING EARNINGS: EMPIRICAL EVIDENCE FROM THE BUSINESS CYCLE
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
Burn injuries are the most prevalent and devastating form of skin trauma. Current study aimed to fabricate novel chitosan-based composite films of vancomycin for wound healing applications. The developed vancomycin-chitosan films were evaluated for various quality attributes and were subjected to anti-bacterial activity against methicillin resistant Staphylococcus aureus (MRSA) and wound healing efficacy study in rat model. The prepared vancomycin-chitosan film 2 (VCF2) physically displayed a substantial tensile strength and swelling ratio. Pharmacologically, VCF2 exhibited sustained vancomycin release, excellent antibacterial activity and improved wound healing efficacy in rats. The superior wound healing potential was ascribed to the enhanced levels of reduced glutathione, glutathione-S-transferase, catalase and decreased lipid peroxidation. Furthermore, improved angiogenesis, granulation, epidermal regeneration and down regulation in the expressions of tumor necrosis factor, cyclooxygenase-2 and nuclear factor kappa B were the reasons of improved wound healing as confirmed by histopathological and molecular techniques. Thus, it is plausible to say that VCF2 could provide a potential therapeutic approach in burn wounds.
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 | 0.011 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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