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Association between Life’s essential 8 and mortality among individuals with hypertension
A class of entanglement witnesses and a realignment-like criterion
Family history and acquired risk factors for pelvic organ prolapse: a case–control study in Japan
Seagrass-rafted large benthic foraminifera transported into the deep Red Sea
Abstract Large shallow-marine foraminifera tests occur in deep-sea carbonate sediments of the northern Red Sea as a minor but recurring component among the remains of otherwise pelagic and deep-marine benthic biogenic assemblages. In this study of sediments recovered along the northern shore of Saudi Arabia, the symbiont-bearing taxa Sorites variabilis, S. orbiculus, Amphisorus hemprichii, Amphistegina lobifera, A. lessonii and A. radiata were identified in samples from between 430 to 1,000 m depth. These foraminifera are dwelling in shallow-water environments, associated with coral reefs and seagrass habitats. The seemingly erratic occurrence of photosymbiotic benthic organisms in deep-sea sediments was explained by the finding of such foraminifera tests along with seagrass (e.g., Halophila leaves) and macroalgae remains in pristine preservational states in the sediment of the Umluj brine pool below ~ 638 m depth. This indicates a passive transport process by rafting attached to floating macrophytes to these off-platform settings. The abundant seagrass and oceanographic conditions along the Arabian Peninsula may facilitate the transport of epiphytes and associated taxa offshore. Such long-distance transport mechanisms could further contribute to the rapid (co-)dispersal of some of these organisms into new habitats. Passive rafting should thus be considered in interpretation of sedimentary records and biogeographic patterns.
Medicinal plants used by local communities in southern Fars Province, Iran
Intelligent evaluation of coal mine solid filling effect using fuzzy logic and improved D-S evidence theory
Underlying mechanism behind the dynamic mechanical behavior of sandstone with varying moisture content under medium speed impact
The evolution, variation and expression patterns of the annexin gene family in the maize pan-genome
Temporal action localisation in video data containing rabbit behavioural patterns
Rendering the European neutron research landscape
Analysis of social media language reveals the psychological interaction of three successive upheavals
A lightweight coal mine pedestrian detector for video surveillance systems with multi-level feature fusion and channel pruning
A method for the identification of lactate metabolism-related prognostic biomarkers and its validations in non-small cell lung cancer
Design and implementation of PLA/GO/metal oxide composites for CO2 sensing application
Abstract This study investigates the modification of polylactic acid (PLA) by the incorporation of graphene oxide (GO) and metal oxides (ZnO and CuO), with the aim of developing efficient CO₂ sensors. Key properties, including total dipole moment (TDM), energy gap (ΔE), molecular electrostatic potential (MESP), and density of states (DOS), were calculated using density functional theory (DFT) to gain insight into the interactions between the composites and CO₂ gas. Experimental techniques such as X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), and optical confocal microscopy were used to validate the material composition and bonding mechanisms. The analysis revealed the presence of SiO₂ impurities in the PLA matrix, which could potentially affect the sensing behavior of the composite. The composites demonstrated effective CO₂ sensing capabilities in experimental tests. This combined theoretical and experimental approach demonstrates that PLA/GO/metal oxide composites offer significant potential for sustainable CO₂ sensing, contributing to air quality monitoring and greenhouse gas regulation.
Revealing large-scale surface subsidence in Jincheng City’s mining clusters using MT-InSAR and VMD-SSA-LSTM time series prediction model
Stacked CNN-based multichannel attention networks for Alzheimer disease detection
Harnessing 3D microarchitecture of pterosaur bone using multi-scale X-ray CT for aerospace material design
Abstract Pterosaurs were the largest animals to have achieved powered flight in the history of life on Earth, possessing wingspans akin to some modern light aircraft. Vertebrate fossils have shown their potential to retain information on the chemical, physical, and mechanical properties of precursor bone. However, the fossil record is not a traditional source of inspiration for engineers to create palaeo-bioinspired designs. To explore its potential, this study has imaged the three-dimensional porosity of pterosaur bone intending to inspire and improve the mechanical properties of aerospace materials. Historically, two-dimensional histological analysis has resolved fine-scale structures in fossilised bone, which damages the sample. By applying advanced X-ray imaging techniques in this study (using Image Quality Indicators) we show it is possible to non-destructively resolve/verify the microarchitecture of pterosaur bone not previously seen in three dimensions. Pterosaur bone porosity has helped map the macroscopic stresses of this biomaterial but ultimately presents an opportunity to inspire advanced manufactured materials. This microarchitecture of bone offers a unique geometry where self-healing materials with internal monitoring systems can be developed. The iterative process of Darwinian natural selection has evolved multiple engineering solutions that can be reverse engineered to solve challenges facing industry in the 21st Century.