Nanocellulose-assisted construction of conductive gradient hydrogel for remote actuated and self-sensing soft actuator.

Hydrogel actuators show tremendous promise for applications in soft robots and artificial muscles. Nevertheless, developing a stretchable hydrogel actuator combining remote actuation and real-time signal feedback remains a challenge. Herein, a light-responsive hydrogel actuator with self-sensing function is fabricated by employing a localized immersion strategy to incorporate polyacrylamide (PAM) hydrogel network into semi-interpenetrating carbon nanotube/2,2,6,6-tetramethylpiperidine-1-oxyl (TEMPO)-oxidized cellulose nanofiber/poly(N-isopropylacrylamide) (CNT/TOCN/PNIPAM) hydrogel.

Selective Catalytic Depolymerization of Lignin to Targeted Phenolic Monomers Using Noble Metals Supported on MgAlO without External Hydrogen.

Reductive catalytic depolymerization of lignin to obtain value-added phenolic monomers has great potential. However, achieving the efficient depolymerization of lignin under hydrogen-free conditions while selectively obtaining specific monomers remains a significant challenge. In this study, MgAlO-based catalysts with well-developed pore structures and abundant oxygen vacancies were fabricated, exhibiting excellent catalytic performance in the depolymerization of various kinds of biomass.

DSTF-GKAN: A lightweight spatiotemporal fusion framework for real-time eavesdropping detection in dynamic smart grid networks.

With the rapid development of smart grids and the Power Internet of Things (PIoT), wireless communication networks are facing the severe threat of dynamic eavesdropping attacks. Traditional detection methods rely on static assumptions or shallow models, which are not capable of dealing with complex topology mutations and high-dimensional nonlinear features. There is an urgent need for efficient and lightweight adaptive solutions.

Visible light-driven photocatalytic permanganate activation for efficient water purification.

Permanganate (PM)-based advanced oxidation process (AOP) is a promising methodology for the efficient degradation of organic pollutants and water purification. Photocatalytic PM activation is an attractive strategy by using clean sustainable solar irradiation, but still faces great challenges in terms of energy source (i.e.

Enhanced remote sensing image feature classification using STFF-PSPNet.

Semantic segmentation of remotely sensed images is crucial for urban planning and change detection, yet faces issues like sample imbalance and low data quality. This study compiles a GF-2 image dataset and refines the PSPNet model. Weights of different class samples were adjusted to prioritize minority classes, mitigating sample imbalance's impact on classification.

Mechanochemical synthesis of Sb-doped CsZrCl double perovskites for excitation-wavelength-responsive trimodal luminescence and high-level anti-counterfeiting.

All-inorganic lead-free halide perovskites have shown great promise in the field of optoelectronics. However, the room-temperature, low-cost, and large-scale synthesis of such materials remains challenging. Here, we report a rapid mechanochemical synthesis strategy based on ethanol-assisted ball milling to successfully prepare CsZrCl double perovskite with Sb doping, which exhibits tricolor luminescence with excitation wavelength-dependent characteristics.

Evaluation of mesoporous silica synthesized for green adsorption by modeling via machine learning and mass transfer.

In this study, we utilized a comprehensive dataset comprising over 19,000 data points with inputs represented by coordinates (x, y) and the corresponding output denoted as concentration (C). The case study was analysis of mesoporous material for adsorption separation of target solute from aqueous solution. Mass transfer and machine learning evaluations were carried out to obtain separation efficiency.

Nanocellulose-mediated double-network conductive organohydrogels with self-adhesive, biocompatible and environmentally tolerant properties for wearable biosensors.

Conductive hydrogels attracted increasing attention due to their excellent stretchability, self-adhesion and biocompatibility. However, conventional conductive hydrogels face the critical problems in extreme environments, such as freezing at low temperatures and evaporating at high temperatures. Introducing traditional cryoprotectant can improve environmental tolerance but reduce the flexibility and conductivity.

Research on anti-rollover active control of sports utility vehicle with time-delay compensation function.

The global incidence of traffic accidents caused by vehicle rollovers has exhibited a persistent upward trajectory in recent years. This paper proposes a novel rollover prevention control method incorporating time-delay compensation to address inherent latency issues in anti-rollover control systems (ARCS). First, structural parameters and dynamic theory establish a three-degree-of-freedom (3-DOF) dynamics model for a sport utility vehicle (SUV).

Detecting eavesdropping nodes in the power Internet of Things based on Kolmogorov-Arnold networks.

The rapid proliferation of the Power Internet of Things (PIoT) has given rise to severe network security threats, with eavesdropping attacks emerging as a paramount concern. Traditional eavesdropping detection methods struggle to adapt to complex and dynamic attack patterns, necessitating the exploration of more intelligent and efficient anomaly localization approaches. This paper proposes an innovative method for eavesdropping node localization based on Kolmogorov-Arnold Networks (KANs).

Design and experiment of key components of a insertion vegetable grafting machine with six plants synchronous.

For the current vegetable mechanized grafting operation efficiency is low constraints on the development of the industry. Based on the heterogeneous operation requirements of rootstock and scion, a six plant synchronous insertion vegetable grafting machine was innovatively designed, which integrates flexible clamping, dynamic cutting, and precise docking functions. The rectangular hand claw is embedded with EVA flexible material (maximum clamping pressure of the clamping mechanism: rootstock 266.

High-Strength Conductive Hydrogel Fiber Prepared Via Microfluidic Technology for Functionalized Strain Sensing.

The rapid advancement of wearable flexible electronics has heightened the demand for hydrogel materials that combine mechanical robustness with electrical conductivity. Herein, the TEMPO-oxidized cellulose nanofibers-Graphene nanosheets/poly(vinyl alcohol)-sodium alginate-tannic acid (TOCN-GN/PVA-SA-TA, TGG) composite hydrogel fibers are prepared by microfluidic spinning technology to solve the bottleneck problems of poor dispersion of GN and imbalance of mechanical-conductive properties of traditional hydrogels. TOCN, acting as a biotemplate, effectively inhibits GN agglomeration via hydrogen bonding and mechanical interlocking, thereby enhancing GN dispersion and facilitating the formation of 3D conductive networks within hydrogel fibers.

Dual-function lignin monomers enable high-performance graphene electrodes via interface confinement and proton transfer enhancement.

Graphene oxide (GO)-based energy storage faces dual bottlenecks: unsustainable reduction methods and sluggish proton transfer kinetics. Here, we introduce a groundbreaking green strategy using lignin-derived vanillyl alcohol (VA) as a dual-function monomer tosimultaneouslyaddress these challenges. By thermally annealing GO/VA films at mild temperatures (<100 °C), VA triggers an interface-confined reduction of GO while self-polymerizing into redox-active oligomers (P-VA) that intercalate between graphene layers.

Advanced Modular Honeycombs with Biomimetic Density Gradients for Superior Energy Dissipation.

The honeycomb configuration has been widely adopted in numerous sectors owing to its superior strength-to-weight ratio, rigidity, and outstanding energy absorption properties, attracting substantial academic attention and research interest. This study introduces a biomimetic modular honeycomb configuration inspired by the variable-density biological enhancement characteristics of tree stem tissues. This study examined the out-of-plane compressive behavior and mechanical characteristics of modular honeycomb structures.

Frontier in Advanced Luminescent Biomass Nanocomposites for Surface Anticounterfeiting.

Biomass-based luminescent nanocomposites have garnered significant attention due to their renewable, biocompatible, and environmentally sustainable characteristics for ensuring information encryption and security. Nanomaterials are central to this development, as their high surface area, tunable optical properties, and nanoscale structural advantages enable enhanced luminescent efficiency, stability, and adaptability in diverse conditions. This review delves into the principles of luminescence, focusing on the inherent bioluminescent properties of natural materials, the utilization of biomass as precursors for carbon dots (CDs) and aggregation-induced emission (AIE)-enhanced substances, and the structural and functional optimization of luminescent materials.

Lignosulfonate-enhanced dispersion and compatibility of liquid metal nanodroplets in PVA hydrogel for improved self-recovery and fatigue resistance in wearable sensors.

Stretchable and resilient conductive hydrogels, incorporating flowable liquid metals (LM) into polyvinyl alcohol (PVA), have emerged as promising materials for wearable sensors due to their exceptional mechanical properties and sustainability. However, the fluidity and compatibility of LM with the hydrogel matrix limit the construction and performance of LM/PVA conductive hydrogels. This study aimed to develop a flexible, high-performance hydrogel for advanced wearable sensors by introducing LM nanoparticles encapsulated in sodium lignosulfonate (LS-LM) into the PVA matrix.

The impact of antimony on all-inorganic lead-free perovskites: progress in optical advancement and applications.

The incorporation of Sb ions into all-inorganic halide lead-free perovskites bestows them with remarkable photoluminescence characteristics, including an extensive color tuning range, elevated photoluminescence quantum yield (PLQY), and reversible color transitions, which hold significant promise for applications in light-emitting diodes, anti-counterfeiting encryption technologies, and photodetectors. Sb ions not only create new optical absorption channels but also can be integrated into these materials as activators or sensitizers to modulate the bandgap and band structure. This review focuses on the optical properties of Sb ion-doped lead-free halide perovskites while examining potential energy transfer pathways across various doping systems.

Modeling of parameters affecting the removal of chromium using polysulfone/graphene oxide membrane via response surface methodology.

In this study, an efficient membrane composed of polysulfone and graphene oxide was developed and evaluated for its efficacy in chromium adsorption. Characterization of the synthesized membrane involved comprehensive analyses including scanning electron microscopy (SEM), transmission electron microscopy (TEM), thermogravimetric analysis (TGA) and Fourier-transform infrared spectroscopy (FTIR) to assess its structural properties. Subsequently, the membrane's performance in removing chromium from aqueous solutions was scrutinized, considering key operational parameters.

Carbonized wood loading sustainable tannin used as free-standing electrodes for assembling heavy metal-free supercapacitors.

The design of heavy metal-free thick supercapacitor electrodes with excellent energy storage performance through a novel and effective strategy represents an attractive yet challenging area of research. In this study, a sustainable redox-active tannic acid (TA) is loaded on the carbonized wood (CW) collector to construct a low-curvature, high-capacity, heavy metal-free supercapacitor electrode. The uniform loading of TA on the surface of the CW cell wall is achieved through the combined action of mutually stable hydrogen bonding and π-π interactions, which constructs a fast electron transport channel in the collector.

YOLO-CFruit: a robust object detection method for fruit in complex environments.

Introduction: In the field of agriculture, automated harvesting of fruit has become an important research area. However, accurately detecting fruit in a natural environment is a challenging task. The task of accurately detecting fruit in natural environments is complex due to factors such as shadows, which can impede the performance of traditional detection techniques, highlighting the need for more robust methods.