The two main large-scale distributed networks, Central Executive (CEN) and Default Mode (DMN) have been extensively studied, but their relationship to hemispheric specialization has not been comprehensively addressed. We present evidence that they are neuroanatomically asymmetric: the CEN components are volumetrically larger in the right hemisphere, and DMN components are volumetrically larger in the left hemisphere. Based on this, the possibility that CEN and DMN are also functionally asymmetric is introduced and implications of the putative functional asymmetry of large-scale distributed networks for refining our understanding of hemispheric specialization are examined.
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http://dx.doi.org/10.1016/j.cortex.2022.03.010 | DOI Listing |
Nat Commun
December 2024
Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Nanoporous metals have unique potentials for energy applications with a high surface area despite the percolating structure. Yet, a highly corrosive environment is required for the synthesis of porous metals with conventional dealloying methods, limiting the large-scale fabrication of porous structures for reactive metals. In this study, we synthesize a highly reactive Mg nanoporous system through a facile organic solution-based approach without any harsh etching.
View Article and Find Full Text PDFJ Environ Manage
December 2024
Center for Membranes and Advanced Water Technology (CMAT), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates; Department of Chemical and Petroleum Engineering, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates. Electronic address:
Water purification become more challenging day by day, due to novel anthropogenic pollutants such as per- and polyfluoroalkyl substances (PFAS) used in nonstick cookware, firefighting foams, packaging etc. PFAS has adverse effects on human health and ecosystem and their physicochemical properties and unique molecular structures make the conventional water treatment methods more challenging. Among the novel PFAS removal technologies, nanomaterials incorporated in membranes are regarded as promising membrane technology for the treatment of PFAS.
View Article and Find Full Text PDFAppl Psychol Meas
December 2024
Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China.
In psychological and educational measurement, a testlet-based test is a common and popular format, especially in some large-scale assessments. In modeling testlet effects, a standard bifactor model, as a common strategy, assumes different testlet effects and the main effect to be fully independently distributed. However, it is difficult to establish perfectly independent clusters as this assumption.
View Article and Find Full Text PDFBur., a versatile plant with medicinal, edible, landscaping, and ecological applications, holds significant economic value and boasts a long-standing history of utilization in China. Despite its robust adaptability, rapid growth, and extensive distribution, the current research gap concerning the physiological mechanisms underlying stem cutting propagation hampers the development of efficient strategies for commercial-scale propagation of , particularly for large-scale cultivation.
View Article and Find Full Text PDFStruct Dyn
November 2024
Second Target Station, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA.
We introduce a computational framework that integrates artificial intelligence (AI), machine learning, and high-performance computing to enable real-time steering of neutron scattering experiments using an edge-to-exascale workflow. Focusing on time-of-flight neutron event data at the Spallation Neutron Source, our approach combines temporal processing of four-dimensional neutron event data with predictive modeling for multidimensional crystallography. At the core of this workflow is the Temporal Fusion Transformer model, which provides voxel-level precision in predicting 3D neutron scattering patterns.
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