High-temperature proton exchange membrane fuel cells (HT-PEMFCs) offer solutions to challenges intrinsic to low-temperature PEMFCs, such as complex water management, fuel inflexibility, and thermal integration. However, they are hindered by phosphoric acid (PA) leaching and catalyst migration, which destabilize the critical three-phase interface within the membrane electrode assembly (MEA). This study presents an innovative approach to enhance HT-PEMFC performance through membrane modification using picosecond laser scribing, which optimises the three-phase interface by forming a graphene-like structure that mitigates PA leaching.
View Article and Find Full Text PDFNormothermic machine perfusion (NMP) facilitates utilization of marginal liver allografts. It remains unknown whether clinical benefits offset additional costs in the real-world setting. We performed a comparison of outcomes and hospitalization costs for donor livers preserved by NMP versus static cold storage (SCS) at a high-volume center.
View Article and Find Full Text PDFObjective: The objective of this systematic review was to investigate the effects of educational interventions designed to develop physical therapist learners' clinical reasoning across the full continuum of professional development.
Data Sources: A systematic search was conducted of 6 databases, the entire Journal of Physical Therapy Education collection, and the reference lists of included articles through March 2022.
Study Selection: English-language primary relevant research studies of all research designs were included while grey literature was excluded.
Alterations in the microbiome composition have been identified in common gynecologic pathologies such as endometriosis carving a new frontier in diagnosis and treatment. We aimed to examine the existing literature on perturbations in the reproductive tract microbiome of individuals with adenomyosis informing future therapeutic targets. To examine the association between the reproductive tract microbiome composition among individuals with adenomyosis when compared to controls that can lead to new research evaluating novel mechanisms of action and treatment modalities.
View Article and Find Full Text PDFObjectives: Applying large language models (LLMs) to the clinical domain is challenging due to the context-heavy nature of processing medical records. Retrieval-augmented generation (RAG) offers a solution by facilitating reasoning over large text sources. However, there are many parameters to optimize in just the retrieval system alone.
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