Improving the Electrochemical Properties of SiO Anode for High-Performance Lithium-Ion Batteries by Magnesiothermic Reduction and Prelithiation.

For lithium-ion batteries, silicon monoxide is a potential anode material, but its application is limited by its relatively large irreversible capacity loss, which leads to its low initial Coulombic efficiency (ICE). In this study, we conduct a two-step reaction for the formation of silicon oxide-based materials, including a magnesiothermic reduction of SiO with Mg, followed by the solid-state lithiation of silicon oxide with LiCO. Our results demonstrate that Mg can reduce SiO to Si and form MgSiO, while LiCO reacts with SiO to form LiSiO.

Generation of an induced pluripotent stem cell line (SMBCi022-A) from a patient with Fabry disease.

Fabry disease (FD) is a systemic disease in which globotriaosylceramide and other naturally occurring glycosphingolipid accumulate in various tissues throughout the body due to mutation of α-galactosidase A (GLA). These induced pluripotent stem cells (iPSCs) were generated from a 10-year-old male patient's urine carrying the GLA c.1080_1082del Fabry disease mutation.

Highly printable, strong, and ductile ordered intermetallic alloy.

Ordered intermetallic alloys are renowned for their impressive mechanical, chemical, and physical properties, making them appealing for various fields. However, practical applications of them have long been severely hindered due to their severe brittleness and poor fabricability. It is difficult to fabricate such materials into components with complex geometries through traditional subtractive manufacturing methods.

TPMS-Gyroid Scaffold-Mediated Up-Regulation of ITGB1 for Enhanced Cell Adhesion and Immune-Modulatory Osteogenesis.

The porous structure is crucial in bone tissue engineering for promoting osseointegration. Among various structures, triply periodic minimal surfaces (TPMS) -Gyroid has been extensively studied due to its superior mechanical and biological properties. However, previous studies have given limited attention to the impact of unit cell size on the biological performance of scaffolds.

Characterization of saffron from different origins by HS-GC-IMS and authenticity identification combined with deep learning.

With the rising demand of saffron, it is essential to standardize the confirmation of its origin and identify any adulteration to maintain a good quality led market product. However, a rapid and reliable strategy for identifying the adulteration saffron is still lacks. Herein, a combination of headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS) and convolutional neural network (CNN) was developed.