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Silicon oxides (SiO, SiO2) with high theoretical capacity and low cost are viewed as promising anodes for the next‐generation lithium‐ion batteries (LIBs) but suffer from inferior rate capability and coulombic efficiency (CE) owing to the sluggish charge transfer kinetics. Herein, the study proposes a multichannel modulation strategy induced by ZSM‐5 and SiO as well as electron‐rich graphene to effectively solve the above issue. Specially, the ZSM‐5, which can not only provide a certain Li+ reserve capacity as an anode material, but also serve as a bridge to connect the isolated SiO nanoparticles, providing Li+ transport channel and adjusting the transfer kinetic, making it to achieve two things at one stroke, so that the as‐obtained SiO@ZSM@Gra composite shows improved rate performance and CE compared to that of single silicon oxides. Combing with the CV and EIS fitting analysis, it is demonstrated that the constructed composites own higher Li+ diffusion coefficient and more charge conduction capability. Furthermore, the fabricated full cell with LiNi0.8Co0.1Mn0.1O2 exhibits good electro‐chemical properties. The proposed strategy for intrinsic accelerating charge transfer can be conductive to electrode design for the next‐generation low cost and high energy LIBs. [ABSTRACT FROM AUTHOR]

Sodium-ion battery is evolving into a desirable alternative technology to lithium-ion batteries, thanks to its wide material distribution and low cost. Tin-antimony oxide is gaining research interest as a sodium-ion battery anode material owing to its ideal theoretical specific capacity, environment friendly, and low cost. However, because of the inner nature of poor electrical conductivity of oxides and slow ionic diffusion kinetic, the electrochemical performance of tin-antimony oxides (SSO) differs significantly from the theoretical value of merit. In this paper, we demonstrated N-doping porous carbon fibers encapsulated Sn/Sb@Sb2SnO5 composite (Sn/Sb@Sb2SnO5@PCFs-N) material. Through the use of a simple electrostatic spinning technique, the Sn and Sb nanocrystalline were in situ generated around the SSOs in a specific way, and the N-doping in the fabricated porous carbon fibers can modulate the charge transport in the fabricated composite. The unique structure can successfully increase the electrical conductivity and the specific capacity of the fabricated composite. Using as anode for Na+ ions storage, the fabricated composite delivers high specific capacity and good cycling stability and rate capability, showing a high capacity of 450 mAhg−1 at 50 mAg−1 current density even after 100 cycles. The better rate capability can be sustained even when the current raised up to 500 mA g−1. This current work can offer a perspective on the effect of phases modified and doping on the functionality of materials for the next-generation high-specific energy sodium-ion battery. [ABSTRACT FROM AUTHOR]

Hydrogel based flexible sensors have attracted tremendous attention in the fields of artificial skin, motion detection and health management due to their excellent characteristics such as portability and wearability. Herein, a flexible, conductive, and biodegradable hydrogel is prepared by proportionally mixing graphene oxide and silk fibroin. The as-fabricated hydrogel (named rGO/SF hydrogel) exhibits superior stretchability and compressibility, which makes it possible to realize multiple signal detection. When used as a strain sensor, its tensile deformation can reach more than 100%, and it can detect various human motions such as finger, wrist, knee, and elbow movements, breath on chest, and speech recognition. For pressure detection, it displays a wide sensing range from 100 Pa to 500 kPa with high sensitivity, which enables it to discriminate pulse signals at different locations of the wrist, and also its changes before and after exercise. Moreover, benefiting from its desirable performance with respect to piezoresistive properties, a wearable gesture recognition system with high accuracy is developed by attaching five pressure sensors on a smart glove, demonstrating its potential application prospects in human–machine interactions and physical training and medical diagnostics. [ABSTRACT FROM AUTHOR]

The 2-D compact variational mode decomposition (2-D-C-VMD) has potential research significance in data mining of hyperspectral images (HSIs). The paper proposes a method of concatenation of features. First, the 2-D-C-VMD technique is used to decompose the HSIs to obtain smooth and clear boundary sub-band images when the 2-D-C-VMD takes the most preferred a priori parameter K ×. Second, the optimal low-frequency component features of the image and the optimal high-frequency component constructed features are concatenated first and last, and the structure of the concatenation is constructed into a new fused data. Finally, in order to avoid the redundancy of the fused data band information from affecting the classification result, combine a recently developed simple and practical superpixelwise principal component analysis (SuperPCA) dimensionality reduction method to effectively reduce the dimensionality of the fused data. By comparing the analysis with relying only on the optimal low-frequency image feature information and with the direct linear superposition fusion that has been employed, it is verified that the concatenation of features approach proposed in this paper can obtain better recognition results. [ABSTRACT FROM AUTHOR]

To address the problem that the performance of the detector in airborne magnetic anomaly detection (MAD) is terrible, a stochastic resonance (SR) detection algorithm based on orthonormalized basis function (OBF-SR) is proposed for MAD under low signal-to-noise ratio conditions. The signal contaminated by noise is first preprocessed by the OBF method, where the sum of the three components in the OBF space is selected as the SR system input. Then, a parallel SR system with different initial states is designed to detect the signal. Finally, the simulation analysis of MAD methods is performed to draw a comparison between the OBF-SR method, the typical SR method, and the OBF method. The results show that the OBF-SR method outperforms the SR and OBF methods in the detection probability and detection range under the same conditions. [ABSTRACT FROM AUTHOR]

Diabetes and impaired glucose regulation (IGR) threaten the lives and health of numerous patients. Interstitial fluid (ISF) glucose, displaying an excellent correlation with blood glucose, is highly desired to address the limitations of invasive and minimally invasive glucose detection. Herein, we present a screen-printed iontophoretic biosensing system to extract ISF noninvasively and perform in situ instant glucose detection. A three-dimensional graphene aerogel combined with Prussian blue (GA@PB) was introduced as an electron mediator, providing suitable support for glucose oxidase (GOx) immobilization, highly boosting the detection sensitivity. Additionally, a self-made diffuse cell and an ex vivo model were developed to demonstrate the efficacy of ISF extraction based on reverse iontophoresis technology. Highly sensitive and accurate detection of ISF glucose could be achieved with an LOD of 0.26 mM over a 0–15 mM range. Finally, tests on healthy volunteers were conducted to further validate the feasibility of this as-proposed system. Combined with its well flexible and biocompatible features, it holds considerable prospects in the development of wireless wearable biosensors for continuous blood glucose monitoring. [ABSTRACT FROM AUTHOR]

To address the problem that the performance of the detector in airborne magnetic anomaly detection (MAD) is terrible, a stochastic resonance (SR) detection algorithm based on orthonormalized basis function (OBF-SR) is proposed for MAD under low signal-to-noise ratio conditions. The signal contaminated by noise is first preprocessed by the OBF method, where the sum of the three components in the OBF space is selected as the SR system input. Then, a parallel SR system with different initial states is designed to detect the signal. Finally, the simulation analysis of MAD methods is performed to draw a comparison between the OBF-SR method, the typical SR method, and the OBF method. The results show that the OBF-SR method outperforms the SR and OBF methods in the detection probability and detection range under the same conditions., (© 2023 Author(s). Published under an exclusive license by AIP Publishing.)