This paper emphasizes the critical role of electrolyte selection in enhancing the electrochemical performance of nonaqueous Li-O batteries (LOBs). It provides a comprehensive overview of various electrolyte types and their effects on the electrochemical performance for LOBs, offering insights for future electrolyte screening and design. Despite recent advancements, current electrolyte systems exhibit inadequate stability, necessitating the urgent quest for an ideal nonaqueous electrolyte.
View Article and Find Full Text PDFThe design and synthesis of metal-organic frameworks (MOFs) with outstanding light-harvesting and photoexcitation for artificial photocatalytic CO reduction is an attractive but challenging task. In this work, a novel aggregation-induced emission (AIE)-active ligand, tetraphenylpyrazine (PTTBPC) is proposed and utilized for the first time to construct a Zr-MOF photocatalyst via coordination with stable Zr-oxo clusters. Zr-MOF is featured by a scu topology with a two-fold interpenetrated framework, wherein the PTTBPC ligands enable strong light-harvesting and photoexcitation, while the Zr-oxo clusters facilitate CO adsorption and activation, as well as offer potential sites for further metal modification.
View Article and Find Full Text PDFNecrotizing enterocolitis (NEC) is a devastating disease of the neonatal gastrointestinal tract. Volatile organic compounds (VOCs), odoriferous compounds released as a byproduct of bacterial metabolism, can be used as a proxy for gut health. We hypothesized that patients with NEC would have different microbial profiles and elicit different VOC signatures as assessed by gas chromatography/mass spectrometry (GC/MS) or an electronic nose compared to controls.
View Article and Find Full Text PDFBackground And Aim: Discriminating between idiosyncratic drug-induced liver injury (DILI) and autoimmune hepatitis (AIH) is critical yet challenging. We aim to develop and validate a machine learning (ML)-based model to aid in this differentiation.
Methods: This multicenter cohort study utilised a development set from Beijing Friendship Hospital, with retrospective and prospective validation sets from 10 tertiary hospitals across various regions of China spanning January 2009 to May 2023.
Background: During the course of the past two decades, head-mounted augmented reality surgical navigation (HMARSN) systems have been increasingly employed in a variety of surgical specialties as a result of both advancements in augmented reality-related technologies and surgeons' desires to overcome some drawbacks inherent to conventional surgical navigation systems. In the present time, most experimental HMARSN systems adopt overlain display (OD) that overlay virtual models and planned routes of surgical tools on corresponding physical tissues, organs, lesions, and so forth, in a surgical field so as to provide surgeons with an intuitive and direct view to gain better hand-eye coordination as well as avoid attention shift and loss of sight (LOS), among other benefits during procedures. Yet, its system accuracy, which is the most crucial performance indicator of any surgical navigation system, is difficult to ascertain because it is highly subjective and user-dependent.
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