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Background The idea that people will lose their jobs because of robots with artificial intelligence is one of the biggest recent concerns about artificial intelligence technology. There are predictions that unemployment will increase with the introduction of robots into the business sector, and due to artificial
Muhammet Faruk Yigit +2 more
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The rapid advancement of artificial intelligence has raised concerns about employment security and future career opportunities among university students. The present study examined the relationship between AI anxiety and unemployment anxiety and investigated the moderating role of emotional intelligence among university students in Bihar.
Raj Manish, Ankita Kumari Dr
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An infodemiology approach to assess the impact of unemployment on anxiety and depression in France
Forum for Social Economics, 2021Mental health is a key factor for productivity and an indicator of the general well-being of the population.
Ariadna Ramos-Gomez +3 more
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Personal Characteristics, Unemployment, and Anxiety among Highly Educated Immigrants
International Migration, 2004ABSTRACTThis exploratory study examines the relationship between personal resources (sense of potency, marital quality, social support from family and friends), the duration of unemployment, and the level of state anxiety experienced by highly educated, unemployed, middle‐aged immigrants.
Rachel Lev‐Wiesel, Roni Kaufman
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Unemployment Anxiety and Religiousness in The Students of The Faculty of Divinity
2021As a natural consequence of the increase number of faculty of divinities and student quotas in Turkey has increased the number of graduated persons from faculty of divinities. This condition causes unemployment anxiety in students of divinity faculty.
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Yaşam Boyu Hemşirelik Dergisi, 2023
Özet: Amaç: Sağlık bilimleri fakültesi öğrencilerinin işsizliğe karşı kaygı ve umutsuzluk düzeyinin belirlenmesi amacıyla yapılmıştır. Yöntem: Tanımlayıcı ve korelasyonel nitelikte olan araştırma sağlık bilimleri fakültesi hemşirelik ve acil yardım ve afet yönetimi bölümünde eğitim gören 322 öğrenci ile yapılmıştır.
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Özet: Amaç: Sağlık bilimleri fakültesi öğrencilerinin işsizliğe karşı kaygı ve umutsuzluk düzeyinin belirlenmesi amacıyla yapılmıştır. Yöntem: Tanımlayıcı ve korelasyonel nitelikte olan araştırma sağlık bilimleri fakültesi hemşirelik ve acil yardım ve afet yönetimi bölümünde eğitim gören 322 öğrenci ile yapılmıştır.
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