The insolubility of eggshell membrane (ESM) limits it application. This study utilized a green process subcritical water (SW), to prepare soluble ESM and compared it with acid hydrolysis. The effect of SW temperature on the yields of total protein, free amino acids, and glycosaminoglycan in the hydrolysate was investigated.
View Article and Find Full Text PDFThe subjective perceptions of passengers are intricately linked to the noise levels in subway stations of urban rail transit systems. In this study, comprehensive measurement was conducted on the noise environment on the platforms during operational hours at four distinct types of subway stations within an urban metro network. To ensure precise data collection, four different noise and sound pressure measurement points were strategically positioned in the middle and at both ends of each station platform.
View Article and Find Full Text PDFHybrid functionals that incorporate exact Hartree-Fock exchange (HFX) into density functional theory (DFT) are crucial for accurately predicting the electronic structures of extended systems in condensed-matter physics and materials science. Although the exact exchange contributes only a small fraction of the total energy, HFX calculations in hybrid functionals demand significant computational resources. Here, we introduce dual-grid and mixed-precision techniques, based on two low-rank approximations, adaptively compressed exchange (ACE) and interpolative separable density fitting (ISDF) methods, to significantly improve the computational efficiency of plane-wave hybrid functional calculations in the software package PWDFT (plane wave density functional theory).
View Article and Find Full Text PDFUDP-glycosyltransferases (UGTs) are the largest glycosyltransferase family developed during the evolution of the plant kingdom. However, their physiological significance in abiotic stress adaptation in land plants is largely unknown. In this study, we identified a UGT gene from Arabidopsis thaliana, UGT86A1, that was significantly induced by salt and drought stresses.
View Article and Find Full Text PDFLarge language models (LLMs) represent a transformative class of AI tools capable of revolutionizing various aspects of healthcare by generating human-like responses across diverse contexts and adapting to novel tasks following human instructions. Their potential application spans a broad range of medical tasks, such as clinical documentation, matching patients to clinical trials, and answering medical questions. In this primer paper, we propose an actionable guideline to help healthcare professionals more efficiently utilize LLMs in their work, along with a set of best practices.
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