Aberrant right subclavian artery (ARSA) is an uncommon congenital anomaly that often becomes aneurysmal. The ARSAs are often asymptomatic but aneurysms arising in this location are potentially lethal. Due to the high morbidity and mortality rates associated with the traditional open repair methods, less invasive endovascular methods are becoming more popular. This is a case describing a unique hybrid repair of an aneurysmal ARSA in an asymptomatic male.
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http://dx.doi.org/10.1177/1538574412465972 | DOI Listing |
Nat Commun
December 2024
Institute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Zurich, Switzerland.
Resting-state functional connectivity (rsFC) has been essential to elucidate the intricacy of brain organization, further revealing clinical biomarkers of neurological disorders. Although functional magnetic resonance imaging (fMRI) remains a cornerstone in the field of rsFC recordings, its interpretation is often hindered by the convoluted physiological origin of the blood-oxygen-level-dependent (BOLD) contrast affected by multiple factors. Here, we capitalize on the unique concurrent multiparametric hemodynamic recordings of a hybrid magnetic resonance optoacoustic tomography platform to comprehensively characterize rsFC in female mice.
View Article and Find Full Text PDFAdv Mater
December 2024
Hefei National Research Center for Physical Sciences at the Microscale, Department of Materials Science and Engineering, CAS Key Laboratory of Materials for Energy Conversion, University of Science and Technology of China, Hefei, Anhui, 230026, P. R. China.
The critical challenges in developing ultralow-temperature proton-based energy storage systems are enhancing the diffusion kinetics of charge carriers and inhibiting water-triggered interfacial side reactions between electrolytes and electrodes. Here an acid-salt hybrid electrolyte with a stable anion-cation-HO solvation structure that realizes unconventional proton transport at ultralow temperature is shown, which is crucial for electrodes and devices to achieve high rate-capacity and stable interface compatibility with electrodes. Through multiscale simulations and experimental investigations in the electrolyte employing ZnCl introduced into 0.
View Article and Find Full Text PDFSmall
December 2024
Department of Electrical and Electronic Engineering, Engineering Building A, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK.
Plasmonic catalysis, whereby either an optically resonating metal couples to a catalytic material or a catalytic metal particle achieves optical resonance, has been a mainstay of photo-catalysis research for the past few decades. However, a new field of metal-dielectric metamaterials, including plasmonic metamaterials, is emerging as the next frontier in catalysis research. With new optical behaviors that can be achieved by sub-wavelength structures, in either periodic or semi-periodic arrangements, metamaterials can overcome some of the limitations of conventional plasmonic catalysis.
View Article and Find Full Text PDFFront Mol Neurosci
December 2024
Laboratory of Neuropsychiatry, Psychiatric Centre Copenhagen, Mental Health Services in the Capital Region of Denmark and University of Copenhagen, Copenhagen, Denmark.
Objective: Acetylcholine modulates the activity of the direct and indirect pathways within the striatum through interaction with muscarinic M and M receptors. M receptors are uniquely positioned to regulate plasticity within the direct pathway and play a substantial role in reward and addiction-related behaviors. However, the role of M receptors on cholinergic neurons has been less explored.
View Article and Find Full Text PDFEnviron Res
December 2024
INSTM and Chemistry for Technologies Laboratory, Department of Mechanical and Industrial Engineering, University of Brescia, via Branze 38, 25123, Brescia, Italy. Electronic address:
The integration of Artificial Intelligence (AI) into the discovery of new materials offers significant potential for advancing sustainable technologies. This paper presents a novel approach leveraging AI-driven methodologies to identify a new malate structure derived from the treatment of spent lithium-ion batteries. By analysing bibliographic data and incorporating domain-specific knowledge, AI facilitated the identification and structure refinement of a new malate complex containing different metals (Ni, Mn, Co, and Cu).
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