Inserm, U698, Cardiovascular Bio-engineering, CHU X. Bichat, University Paris 7, Paris, F-75877, France.
Published: May 2011
AI Article Synopsis
Article Abstract
This communication reports the synthesis, characterization and in vivo evaluation in mice of a new tri-tyrosine conjugated MR contrast agent, which may help to identify vulnerable plaques in atherosclerosis by targeting the lipid core.
The aim of the present study was to explore the role of ovarian cancer G protein-coupled receptor 1 (OGR1) in osteoclast differentiation and activity induced by extracellular acid. The impact of extracellular acidification on osteoclasts was investigated. Briefly, osteoclasts were generated from RAW 264.
Background: Sodium-glucose cotransporter-2 inhibitors (SGLT2i) have been proven to prevent decline in kidney function and failure. Whether SGLT2i affect the risk of contrast-associated acute kidney injury (CA-AKI) remains uncertain.
Methods: Use of SGLT2i was assessed in consecutive diabetics undergoing coronary angiography (CA) or percutaneous coronary intervention (PCI) from January 2020 to May 2023 at a tertiary hospital in Chongqing, China.
Fins and radial fins are versatile engineering components that significantly enhance heat transfer and thermal management in diverse applications, hence improving efficiency and performance across several sectors. This study examines the temperature distribution in a radial porous fin under steady-state conditions, evaluating the impact of several significant parameters by utilizing a novel methodology. We specifically introduce an inclined magnetic field and examine the effects of convection and internal heat generation on the thermal behavior of the fin.
Microscopic imaging is a critical tool in scientific research, biomedical studies, and engineering applications, with an urgent need for system miniaturization and rapid, precision autofocus techniques. However, traditional microscopes and autofocus methods face hardware limitations and slow software speeds in achieving this goal. In response, this paper proposes the implementation of an adaptive Liquid Lens Microscope System utilizing Deep Reinforcement Learning-based Autofocus (DRLAF).
The electrochemical nitrate reduction reaction (NORR) involves multiple hydrogenation and deoxygenation steps, which compete with the hydrogen evolution reaction (HER). Therefore, NORR driven in acidic media is challenging in spite of advantageous fast hydrogen transfers in its elementary steps. The findings presented in this article first demonstrate that the NORR is significantly activated even in acidic lithium nitrate solutions at LiNO concentrations exceeding 6 m on a Pt electrode (the highly effective catalyst for HER) by the formation of a "hydronium-in-salt" electrolyte (HISE), a new type of aqueous high concentration salt electrolyte.
