Room temperature phosphorescence of the biocompatible B₂O₃/SiO₂ nanocomposite and its application for cellular imaging

Highly emissive broadband phosphors of B2O3/SiO2 nanoparticles were synthesized and used as optical probes for live cell imaging.</p

Joint-Label Learning by Dual Augmentation for Time Series Classification

Recently, deep neural networks (DNNs) have achieved excellent performance on time series classification. However, DNNs require large amounts of labeled data for supervised training. Although data augmentation can alleviate this problem, the standard approach assigns the same label to all augmented samples from the same source. This leads to the expansion of the data distribution such that the classification boundaries may be even harder to determine. In this paper, we propose Joint-label learning by Dual Augmentation (JobDA), which can enrich the training samples without expanding the distribution of the original data. Instead, we apply simple transformations to the time series and give these modified time series new labels, so that the model has to distinguish between these and the original data, as well as separating the original classes. This approach sharpens the boundaries around the original time series, and results in superior classification performance. We use Time Series Warping for our transformations: We shrink and stretch different regions of the original time series, like a fun-house mirror. Experiments conducted on extensive time-series datasets show that JobDA can improve the model performance on small datasets. Moreover, we verify that JobDA has better generalization ability compared with conventional data augmentation, and the visualization analysis further demonstrates that JobDA can learn more compact clusters

Application Experience and Patient Feedback Analysis of 3D Printed AFO with Different Materials: A Random Crossover Study

Purpose. This study is aimed at analyzing the application experience and feedback of the patients with poststroke ankle dorsiflexion disorders for 3D printed AFO with three different materials. Methods. 15 patients were randomly divided into three groups; 3D printed AFO with 3 different materials (PA2200, Somos NeXt, and PA12) was used to each group, according to the crossover study design, in order to ask the three groups of patients to use three different materials of 3D printed AFO. Assessment was taken by the end of each test round. Through statistical processing, the patient feedback data of the three groups of materials of 3D printed AFO were obtained. Results. In the material comfort assessment of the AFO, Somos NeXt was compared with PA2200, and the p value was &lt;0.05; in the item of surface smoothness of the AFO, Somos NeXt was compared with PA2200, and the p value was &lt;0.01; at the same time, PA12 was compared with PA2200, and the p value was &lt;0.05. Conclusion. The 3 different materials of 3D printing AFO bring different experience, and we also have sufficient reason to believe that there will be differences in the auxiliary effect of this on patients, which leads the patient’s selection too. The material Somos NeXt is much popular and has certain clinical advantages.</jats:p

Evaluation of anti-inflammatory and antinociceptive activities of<i>Murraya exotica</i>

Context: Leaves of Murraya exotica L. (Rutaceae) are used for the treatment of various disorders such as cough, fever, and infectious wounds, as well as alleviating pains in folk medicine in southern China. Objective: The objectives of this study were to investigate the in vivo antinociceptive and anti-inflammatory activities of ethanol (70%) extracts and isolated compounds obtained from the dried leaves of M. exotica. Materials and methods: The antinociceptive activities were evaluated with the methods of acetic acid-induced writhing response and hot-plate latent pain response test. Carrageenan induced hind paw edema, xylene induced ear edema, and a rat knee osteoarthritis model were employed to measure the anti-inflammatory activities. The compounds were isolated using column chromatography and thin-layer chromatography, and the structures identified by H-1 NMR, C-13 NMR, MS, and IR. Results: The ethanol (70%) extracts significantly decreased in the acetic acid-induced writhing response; increased in hot-plate latency; suppressed xylene induced ear swelling and the carrageenan-induced paw edema effectively. In the rat knee osteoarthritis model, the treatment of the ethanol (70%) extracts resulted in a significant increase in the activity of superoxide dismutase, an inhibition on inducible nitric oxide synthase activity, and a decrease in the contents of interleukin-1 beta and tumor necrosis factor-alpha of the rat serum. Following this, we explored the components of the ethanol (70%) extracts and isolated six known coumarins, including murracarpin, which exhibited the most potential in antinociceptive and anti-inflammatory activities. Discussion and conclusion: M. exotica displayed remarkable antinociceptive and anti-inflammatory activities

Mesoporous Core–Shell Pd@Pt Nanospheres as Oxidase Mimics with Superhigh Catalytic Efficiency at Room Temperature

Mesoporous Pt–Pd bimetallic core–shell nanospheres (mPd@Pt NSs) with palladium-rich cores and platinum-rich shells were synthesized via a simple, two-step, wet chemical strategy mediated by nitrogen-doped carbon dots. The BET surface area of mPd@Pt NSs was found to be 210.4 m2·g–1, which is significantly higher than the currently reported unsupported Pt-based nanomaterials. Because of the large active surface area, the as-prepared mPd@Pt NSs show superhigh oxidase activity and exhibit excellent oxidase-like catalytic efficiency with a catalytic constant (Kcat) as high as 2.1 × 103 s–1 at room temperature, which is of the same order of magnitude as the natural horseradish peroxidase (HRP) (Kcat = 4.3 × 103 s–1) at 37 °C and five-fold greater than the reported Kcat values of oxidase-like nanozyme obtained at 30 °C