The Messinian Salinity Crisis (MSC) was a marked late Neogene oceanographic event during which the Mediterranean Sea evaporated. Its causes remain unresolved, with tectonic restrictions to the Atlantic Ocean or glacio-eustatic restriction of flow during sea-level lowstands, or a mixture of the two mechanisms, being proposed. Here we present the first direct geological evidence of Antarctic ice-sheet (AIS) expansion at the MSC onset and use a δ(18)O record to model relative sea-level changes. Antarctic sedimentary successions indicate AIS expansion at 6 Ma coincident with major MSC desiccation; relative sea-level modelling indicates a prolonged ∼50 m lowstand at the Strait of Gibraltar, which resulted from AIS expansion and local evaporation of sea water in concert with evaporite precipitation that caused lithospheric deformation. Our results reconcile MSC events and demonstrate that desiccation and refilling were timed by the interplay between glacio-eustatic sea-level variations, glacial isostatic adjustment and mantle deformation in response to changing water and evaporite loads.
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http://dx.doi.org/10.1038/ncomms9765 | DOI Listing |
Int J Med Inform
December 2024
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. Electronic address:
Background: Solid organ transplantation (SOT) is vital for end-stage organ failure but faces challenges like organ shortage and rejection. Artificial intelligence (AI) offers potential to improve outcomes through better matching, success prediction, and automation. However, the evolution of AI in SOT research remains underexplored.
View Article and Find Full Text PDFBackground And Aims: The rapid expansion of artificial intelligence (AI) within worldwide healthcare systems is occurring at a significant rate. In this context, the Middle East has demonstrated distinctive characteristics in the application of AI within the healthcare sector, particularly shaped by regional policies. This study examined the outcomes resulting from the utilization of AI within healthcare systems in the Middle East.
View Article and Find Full Text PDFAesthetic Plast Surg
December 2024
Department of Plastic and Aesthetic Surgery, Sana Krankenhaus Gerresheim, Gräulinger Straße 120, D-40625, Düsseldorf, Germany.
Background: Achieving symmetrical outcomes in bilateral autologous breast reconstruction is challenging, particularly in cases of asymmetrical recipient sites. Tissue pre-expansion is proposed to improve aesthetics by enlarging the skin envelope for refined breast shaping. This study examines its efficacy in bilateral DIEP flap reconstructions.
View Article and Find Full Text PDFJ Neurol
December 2024
Comprehensive Stroke Center and Department of Neurology, David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, USA.
Background: Acute ischemic stroke (AIS) is a major cause of morbidity and mortality, with hemorrhagic transformation (HT) further worsening outcomes. Traditional scoring systems have limited predictive accuracy for HT in AIS. Recent research has explored machine learning (ML) and deep learning (DL) algorithms for stroke management.
View Article and Find Full Text PDFClin Pharmacol Drug Dev
January 2025
Silver Creek Pharmaceuticals, Inc., South San Francisco, California, USA.
Apoptosis is a major driver of cell loss and infarct expansion in ischemic injuries such as acute ischemic stroke (AIS) and acute myocardial infarction (AMI). Insulin-like growth factor-1 (IGF-1) can mitigate cell death and potentiate recovery following acute ischemic injury, but short half-life and nonspecificity limit its therapeutic potential. Scp776 is an IGF-1 fusion protein designed to target damaged tissue and promote apoptosis escape and is in clinical development as an acute therapy for AIS and AMI.
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