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Pain sensitivity mediates the relationship between empathy for pain and psychopathic traits.
Sci Rep
January 2025
Donders Institute for Brain, Cognition and Behavior, Radboud University, Thomas Van Aquinostraat 4, 6525, Nijmegen, The Netherlands.
Psychopathic traits and antisocial behavior show a well-documented relationship with decreased empathic processing. It has been proposed that a reduced own experience of pain leads to perceiving others' pain as less severe, which potentially facilitates exploitative, aggressive behavior towards others. We evaluated the link between psychopathic traits, experimental pain sensitivity and empathy for pain in a community sample (n = 74).
View Article and Find Full Text PDFEffects of psilocybin on mouse brain microstructure.
AJNR Am J Neuroradiol
January 2025
From the Department of Radiology (P.C.F., A.P.S., J.J.Y.).
Background And Purpose: There is surging interest in the therapeutic potential of psychedelic compounds like psilocybin in the treatment of psychiatric illnesses like major depressive disorder (MDD). Recent studies point to the rapid antidepressant effect of psilocybin; however, the biological mechanisms underlying these differences remain unknown. This study determines the feasibility of using diffusion MRI to characterize and define the potential spatiotemporal microstructural differences in the brain following psilocybin treatment in C57BL/6J male mice.
View Article and Find Full Text PDFPrognostic Value of Coronary Angiography-Derived Index of Microcirculatory Resistance in Patients With Intermediate Coronary Stenosis.
JACC Cardiovasc Interv
January 2025
Department of Cardiology of The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China; State Key Laboratory of Transvascular Implantation Devices, Hangzhou, China; Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou, China. Electronic address:
Background: The association between coronary microcirculation and clinical outcomes in patients with intermediate stenosis remains unclear.
Objectives: The aim of this study was to assess the prognostic significance of angiography-derived index of microcirculatory resistance (angio-IMR) in patients with intermediate coronary stenosis.
Methods: This post hoc analysis included 1,658 patients from the FLAVOUR (Fractional Flow Reserve and Intravascular Ultrasound for Clinical Outcomes in Patients with Intermediate Stenosis) trial, with angio-IMR measured in each vessel exhibiting intermediate stenosis.
Improving Nanoparticle Size Estimation from Scanning Transmission Electron Micrographs with a Multislice Surrogate Model.
Nano Lett
January 2025
Electron Microscopy Center, Empa - Swiss Federal Laboratories for Materials Science and Technology, Überlandstrasse 129, 8600 Dübendorf, Switzerland.
The computational cost of simulating scanning transmission electron microscopy (STEM) images limits the curation of large enough data sets to train accurate and robust machine learning networks for deep feature extraction from atomically resolved STEM images. For nanoparticle size estimation in particular, a diverse data set is essential due to the large variations in size, shape, crystallinity, orientation, and dynamical diffraction effects in experimental data. To address this, we train a 3D convolutional neural network to predict STEM images from voxelized atomic models, achieving a 100x speed-up compared to traditional multislice simulations while maintaining high image quality.
View Article and Find Full Text PDFA guidance to intelligent metamaterials and metamaterials intelligence.
Nat Commun
January 2025
ZJU-UIUC Institute, Interdisciplinary Center for Quantum Information, State Key Laboratory of Extreme Photonics and Instrumentation, Zhejiang University, Hangzhou, China.
The bidirectional interactions between metamaterials and artificial intelligence have recently attracted immense interest to motivate scientists to revisit respective communities, giving rise to the proliferation of intelligent metamaterials and metamaterials intelligence. Owning to the strong nonlinear fitting and generalization ability, artificial intelligence is poised to serve as a materials-savvy surrogate electromagnetic simulator and a high-speed computing nucleus that drives numerous self-driving metamaterial applications, such as invisibility cloak, imaging, detection, and wireless communication. In turn, metamaterials create a versatile electromagnetic manipulator for wave-based analogue computing to be complementary with conventional electronic computing.
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