Freeze drying is one of the common methods to extend the long-term stability of biologicals. Biological products in solid form have the advantages of convenient transportation and stable long-term storage. However, long reconstitution time and extensive visible bubbles are frequently generated during the reconstitution process for many freeze-dried protein formulations, which can potentially affect the management efficiency of staff, patient compliance, and product quality.
View Article and Find Full Text PDFThe Keggin clusters are one kind of the most representative molecular structures in the field of metal-oxo clusters. Although the different types of Keggin clusters with various components were reported, the research about γ-Keggin isomer remains less developed. This is ascribed to the difficulty in obtaining the stable pure γ-Keggin cluster for the structural isomerization.
View Article and Find Full Text PDFNowadays, gastroesophageal reflux disease (GERD) has emerged as one of the major hazards to the health of the upper gastrointestinal tract, and there is an urgent need for a low-cost, user-friendly, and non-invasive detection method. Herein, a paper-based sensor (CP sensor) for the non-invasive screening of GERD is proposed. The sensor is structured as a specially shaped cellulose paper strip embedded with fluorescent colloids, which are self-assembled from a cleavable synthetic fluorescent polymer (P4).
View Article and Find Full Text PDFBackground: Noninfectious anterior uveitis shares genetic factors, including HLA-B27, with ankylosing spondylitis (AS). The aim of this study was to identify significant single nucleotide polymorphisms (SNPs) associated with noninfectious anterior uveitis in AS patients, which could help predict the risk of developing this condition and provide deeper insights into its genetic underpinnings.
Methods: A genome-wide association study (GWAS) was conducted utilizing the genomic data of 468 AS patients, including 90 with noninfectious anterior uveitis and 378 without it, from the Taiwan Precision Medicine Initiative.
Climate change is exacerbating rainstorms, increasing the risk of flooding and threatening urban sustainability, which could undermine climate action. Here, we propose a machine learning-based framework to assess heterogeneous risks and identify critical mitigation measures for rainstorms across 268 Chinese cities. Nighttime light serves as a proxy for urban functionality, and meteorological, socio-economic, and infrastructural factors are incorporated to uncover underlying impact mechanisms.
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