Publications by authors named "S MILOJEVIC"

This study aims to investigate the influence of leadership on the self-efficacy of healthcare professionals. Additionally, it seeks to explore whether stress mediates the relationship between leadership and self-efficacy. Specifically, our study is focused on both transactional leadership and laissez-faire leadership, which are commonly practiced by healthcare professionals due to the settings of healthcare environments.

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Despite the long-standing calls for increased levels of interdisciplinary research as a way to address society's grand challenges, most science is still disciplinary. To understand the slow rate of convergence to more interdisciplinary research, we examine 154,021 researchers who received a PhD in a biomedical field between 1970 and 2013, measuring the interdisciplinarity of their articles using the disciplinary composition of references. We provide a range of evidence that interdisciplinary research is impactful, but that those who conduct it face early career impediments.

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Fragile X syndrome (FXS) is caused by the full mutation in the gene on the Xq27.3 chromosome region. It is the most common monogenic cause of autism spectrum disorder (ASD) and inherited intellectual disability (ID).

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Fragile X syndrome (FXS), the most common monogenic cause of inherited intellectual disability and autism spectrum disorder, is caused by a full mutation (>200 CGG repeats) in the Fragile X Messenger Ribonucleoprotein 1 () gene. Individuals with FXS experience various challenges related to social interaction (SI). Animal models, such as the model for FXS where the only ortholog of human () is mutated, have played a crucial role in the understanding of FXS.

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Article Synopsis
  • Human migration influences many societal issues like epidemics, economies, innovation, and the spread of ideas.
  • Geographic distance has historically limited human mobility, but advances in globalization emphasize the role of language and culture in migration.
  • The study demonstrates how the word2vec model can analyze migration patterns through a database of scientists' movements, revealing complex relationships tied to culture and prestige while offering new methods to understand migration.
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