Katalog der Deutschen Nationalbibliothek
Ergebnis der Suche nach: tit all "Artificial intelligence"
|   | |
| Link zu diesem Datensatz | https://d-nb.info/1375427237 | 
| Titel | Unraveling research self-efficacy and concerns as factors associated with psychological distress among nursing scholars in the era of artificial intelligence: a multi-campus survey / by Mohamed Hussein Ramadan Atta, Mohamed Zoromba, Hussein M. Magdi, Heba El-Gazar, Shimmaa Mohamed Elsayed, Omnya Sobhy Mohamad El-ayari, Selwan Mahmoud Ibrahim Balha, Alzahraa Abdel Aziz Omar Abdel Rahman, Rasha Salah Eweida | 
| Person(en) | Hussein Ramadan Atta, Mohamed (Verfasser) Zoromba, Mohamed (Verfasser) Magdi, Hussein M. (Verfasser) El-Gazar, Heba (Verfasser) Mohamed Elsayed, Shimmaa (Verfasser) El-ayari, Omnya Sobhy Mohamad (Verfasser) Mahmoud Ibrahim Balha, Selwan (Verfasser) Abdel Aziz Omar Abdel Rahman, Alzahraa (Verfasser) Eweida, Rasha Salah (Verfasser) | 
| Organisation(en) | SpringerLink (Online service) (Sonstige) | 
| Umfang/Format | 1 Online-Ressource. | 
| Persistent Identifier | URN: urn:nbn:de:101:1-2509031257237.303641508123 DOI: 10.1186/s12912-025-03353-w | 
| URL | https://doi.org/10.1186/s12912-025-03353-w | 
| Zeitliche Einordnung | Erscheinungsdatum: 2025 | 
| DDC-Notation | 150 (maschinell ermittelte DDC-Kurznotation) | 
| Sprache(n) | Englisch (eng) | 
| Beziehungen | Enthalten in: BMC nursing (Bd. 24, 1.7.2025, Nr. 1, date:12.2025: 1-10) | 
| Sachgruppe(n) | 150 Psychologie | 
| Online-Zugriff | Archivobjekt öffnen | 
 Administration
Administration
		







