Parasites Hosts Dis
November 2024
Metal organic cages (MOCs) show promise as fillers in mixed-matrix membranes (MMMs) for gas separation; highly soluble MOCs are desirable for fabrication of high-compatibility membranes. Herein, we report an iodine substitution strategy to substantially increase the MOC solubility. The synthesized MOC of ZrT-NH-I possesses over 10-fold higher solubility than the parent ZrT-NH in organic solvents whilst retaining the original molecular structure and permanent porosity.
View Article and Find Full Text PDFHydrogels have garnered significant interest in the biomedical field owing to their tissue-like properties and capability to incorporate various fillers. Among these, injectable hydrogels have been highlighted for their unique advantages, especially their minimally invasive administration mode for implantable use. These injectable hydrogels can be utilized in their pristine forms or as composites by integrating them with therapeutic filler materials.
View Article and Find Full Text PDFBackground: Heart failure (HF) subtype, depressive symptoms, and physical inactivity independently contribute to survival outcomes, but the effect of the interaction of these variables on survival outcomes remains unknown.
Objectives: We aimed to determine whether depressive symptoms and engagement in physical activity differentially interact to predict the combined endpoint of all-cause death or rehospitalization among patients with HF and reduced (HFrEF) or preserved ejection fraction (HFpEF).
Methods: This study was a secondary analysis.
This paper proposes a new method for predicting the stage of osteoporosis by estimating bone-density parameters using an ultrasonic-bone densitometer. Using the developed ultrasonic bone densitometer, the ultrasonic signal passing through the phalanx of the finger was measured, and the measured signal was preprocessed to generate input data for parameter estimation. The Nakagami probability-density function was used for modeling this data, and optimal bone-density parameters were estimated using an optimization problem - to predict the stage of osteoporosis.
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