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Flexible deformation and special interface structure in nanoparticle-stabilized Pickering bubbles strengthen the immunological response as adjuvant.
J Mater Chem B
January 2025
State Key Laboratory of Biopharmaceutical Preparation and Delivery, Chinese Academy of Sciences, Beijing 100190, P. R. China.
Adjuvants can enhance an immunological response, which is an important part of vaccine research. Pickering bubbles have been a mega-hit for biomedical applications, including visualization and targeted drug delivery. However, there have been no studies on Pickering bubbles as an immunological adjuvant, and the special properties and structures of Pickering bubbles may play an important role in immunization.
View Article and Find Full Text PDFSeveral studies suggested that total hip arthroplasty (THA) was more technical demanding following previous pelvic osteotomy (PO), resulting in poor outcomes compared with primary THA. However, the other studies regarding this topic had reported contradictory results. Therefore, we conducted this meta-analysis to compare the clinical results and other parameters between total hip arthroplasty following pelvic osteotomy and primary total hip arthroplasty.
View Article and Find Full Text PDFMeasuring Speech Discrimination Ability in Sleeping Infants Using fNIRS-A Proof of Principle.
Trends Hear
January 2025
Bionics Institute, East Melbourne, VIC, Australia.
This study used functional near-infrared spectroscopy (fNIRS) to measure aspects of the speech discrimination ability of sleeping infants. We examined the morphology of the fNIRS response to three different speech contrasts, namely "Tea/Ba," "Bee/Ba," and "Ga/Ba." Sixteen infants aged between 3 and 13 months old were included in this study and their fNIRS data were recorded during natural sleep.
View Article and Find Full Text PDFElf autoencoder for unsupervised exploration of flat-band materials using electronic band structure fingerprints.
Commun Phys
January 2025
Department of Physics and Astronomy, the University of Manchester, Manchester, UK.
Two-dimensional materials with flat electronic bands are promising for realising exotic quantum phenomena such as unconventional superconductivity and nontrivial topology. However, exploring their vast chemical space is a significant challenge. Here we introduce elf, an unsupervised convolutional autoencoder that encodes electronic band structure images into fingerprint vectors, enabling the autonomous clustering of materials by electronic properties beyond traditional chemical paradigms.
View Article and Find Full Text PDFCharacterization of saffron from different origins by HS-GC-IMS and authenticity identification combined with deep learning.
Food Chem X
December 2024
School of Pharmacy, Naval Medical University, Shanghai 200433, China.
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.
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