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Akademický článek

Animal pollination contributes to more than half of citrus production

Autor: Marcos Monasterolo, Andrés F. Ramírez-Mejía, Pablo Cavigliasso, Pablo Schliserman, Valentina Chavanne, Claudia M. Carro, Natacha P. Chacoff

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)

Abstract Animal pollination is crucial for the reproduction and economic viability of a wide range of crops. Despite the existing data, the extent to which citrus crops depend on pollinators to guarantee fruit production still needs to be determined.

Externí odkaz: https://doaj.org/article/25258abc746348a1b2e84a18e2b88b43

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Akademický článek

Independent replications reveal anterior and posterior cingulate cortex activation underlying state anxiety-attenuated face encoding

Autor: Sarah K. Buehler, Millie Lowther, Paulina B. Lukow, Peter A. Kirk, Alexandra C. Pike, Yumeya Yamamori, Alice V. Chavanne, Siobhan Gormley, Talya Goble, Ella W. Tuominen, Jessica Aylward, Tayla McCloud, Julia Rodriguez-Sanchez, Oliver J. Robinson

Publikováno v: Communications Psychology, Vol 2, Iss 1, Pp 1-10 (2024)

Abstract Anxiety involves the anticipation of aversive outcomes and can impair neurocognitive processes, such as the ability to recall faces encoded during the anxious state. It is important to precisely delineate and determine the replicability of t

Externí odkaz: https://doaj.org/article/d53ed1280b7b4d5494e19bb0d93a3c34

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Akademický článek

Lack of evidence for predictive utility from resting state fMRI data for individual exposure-based cognitive behavioral therapy outcomes: A machine learning study in two large multi-site samples in anxiety disorders

Publikováno v: NeuroImage, Vol 295, Iss , Pp 120639- (2024)

Data-based predictions of individual Cognitive Behavioral Therapy (CBT) treatment response are a fundamental step towards precision medicine. Past studies demonstrated only moderate prediction accuracy (i.e. ability to discriminate between responders

Externí odkaz: https://doaj.org/article/911a7300571e4c349226d5822f877a9f

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