The Effect of Human Resource Management Practices on Job Involvement in Selected Private Companies in Jordan/LES EFFETS DE LA PRATIQUE DU MANAGEMENT DES RESSOURCE HUMAINE SUR LA RESOLUTION DU TRAVAIL SELECTIONNE DES ENTREPRISE PRIVEE EN JORDANIE
Bibliographic record
Abstract
From the anti-inflammatory screening of Formosan Lauraceous plants, the methanolic extract of the root of Machilus zuihoensis var. mushaensis stood out for its potent inhibitory activity toward superoxide anion and elastase release in human neutrophils. Bioassay-guided fractionation of the root of M. zuihoensis var. mushaensis led to eight new compounds, including two butanolides (1-2), five lignanoids (3-7), and one sesquiterpenoid (8), along with 50 known compounds (9-58). Structures of these compounds were elucidated by NMR, UV, IR, CD, and MS analyses. Thirty-two isolates were evaluated for their anti-inflammatory activity. Among them, 9, 20, 27, 28, 30, 31, 35, and 40 exhibited significant superoxide anion generation inhibition selectively (IC<sub>50</sub> value < 7.4 μM), 15 and 19 showed selective inhibition toward elastase release (IC<sub>50</sub> value < 8.0 μM). Moreover, 3, 16, 21, and 22 simultaneously displayed superoxide anion generation and elastase release inhibition. It is worth mentioning that 21 and 22 showed more potent inhibitory activities (IC<sub>50</sub> < 1.0 μM) on superoxide anion than the positive control, LY294002. Further quantitative HPLC analysis indicated the content of 21 and 22 were 0.90 and 3.04 mg/g (w/w) in the ethyl-acetate layer of the root of M. zuihoensis var. mushaensis, respectively. Altogether, M. zuihoensis var. mushaensis revealed a potential for developing the botanical new drug against inflammation-related disease.
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 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 | 0.016 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".