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Cellulose and its derivatives have shown significant potential as plastic replacement materials due to their outstanding properties. However, current research still faces challenges related to green synthesis, structural design, and multifunctionality. To address these issues, an innovative green eutectic solvent (ES) based on ethylcellulose (EC) and thymol (Thy) is proposed for the preparation of high-performance cellulose-based hydrophobic covalently crosslinked networks. EC and Thy can be prepared as a molecular solvent system in one step without the need for external solvents. Subsequently, co-monomers and chemically stable lithium salts are introduced into the homogeneous EC/Thy ES medium, resulting in the formation of highly transparent, mechanically tough, and ionically conductive cellulosic polymer films (CPFs) through in situ photopolymerization. Furthermore, the prepolymer achieves a precise replication of the complex microstructure of the natural rose surface with the help of stearic acid, imparting superhydrophobicity to the CPF. The prepared superhydrophobic CPF exhibits excellent self-cleaning ability, pressure responsiveness, and stable sensing performance under different humidity environments. The biomass-based eutectic strategy demonstrated in this paper presents a green and efficient method for preparing multifunctional cellulose-based materials with a wide range of applications. [ABSTRACT FROM AUTHOR]

In recent years, there has been extensive research and application of unsupervised monocular depth estimation methods for intelligent vehicles. However, a major limitation of most existing approaches is their inability to predict absolute depth values in physical units, as they generally suffer from the scale problem. Furthermore, most research efforts have focused on ground vehicles, neglecting the potential application of these methods to unmanned aerial vehicles (UAVs). To address these gaps, this paper proposes a novel absolute depth estimation method specifically designed for flight scenes using a monocular vision sensor, in which a geometry-based scale recovery algorithm serves as a post-processing stage of relative depth estimation results with scale consistency. By exploiting the feature correspondence between successive images and using the pose data provided by equipped navigation sensors, the scale factor between relative and absolute scales is calculated according to a multi-view geometry model, and then absolute depth maps are generated by pixel-wise multiplication of relative depth maps with the scale factor. As a result, the unsupervised monocular depth estimation technology is extended from relative depth estimation in semi-structured scenes to absolute depth estimation in unstructured scenes. Experiments on the publicly available Mid-Air dataset and customized data demonstrate the effectiveness of our method in different cases and settings, as well as its robustness to navigation sensor noise. The proposed method only requires UAVs to be equipped with monocular camera and common navigation sensors, and the obtained absolute depth information can be directly used for downstream tasks, which is significant for this kind of vehicle that has rarely been explored in previous depth estimation studies. [ABSTRACT FROM AUTHOR]

The silkworm cocoon (SC), both as a traditional Chinese medicine and as the raw material for biocompatible carriers, has been extensively used in the medical and biomedical fields. This review elaborates on the multiple functions of SC, with an in-depth analysis of its chemical composition, biological activities, as well as its applications in modern medicine. The primary chemical components of SC include silk fibroin (SF), silk sericin (SS), and other flavonoid-like bioactive compounds demonstrating various biological effects. These include hypoglycemic, cardioprotective, hypolipidemic, anti-inflammatory, antioxidant, and antimicrobial actions, which highlight its potential therapeutic benefits. Furthermore, the review explores the applications of silk-derived materials in drug delivery systems, tissue engineering, regenerative medicine, and in vitro diagnostics. It also highlights the progression of SC from laboratory research to clinical trials, emphasizing the safety and efficacy of SC-based materials across multiple medical domains. Moreover, we discuss the market products developed from silk proteins, illustrating the transition from traditional uses to contemporary medical applications. This review provides support in understanding the current research status of SC and the further development and application of its derived products. [ABSTRACT FROM AUTHOR]

Driven by environmental protection and sustainable development, the exploitation of cellulose-based bioplastics (CBPs) with high transparency, hydrophobicity, mechanical toughness, heat sealability, ionic conductivity, and recyclability is highly desirable. However, it is very challenging to concentrate multiple functionalities into one material. Herein, a series of supramolecular covalent CBPs was innovatively synthesized by simple solvent treatment and rapid photopolymerization based on the compatibility of ethylcellulose with a polymerizable hydrophobic deep eutectic solvent. By regulating the ratio of components, the obtained CBPs exhibited good overall performance, including optical transmittance (∼92%), water resistance, mechanical toughness, heat-sealing performance, and shape-memory function. Moreover, a wet strength of up to ∼10 MPa could still be maintained after long underwater immersion for 24 h. The introduction of lithium salts endowed the obtained CBPs with ionic conductivity, enabling it to exhibit excellent pressure and deformation sensing capabilities both in air and underwater. Moreover, the CBPs could be simply and rapidly recycled by solvents, and the performance did not degrade significantly after recycling many times. The CBPs prepared in this study have promising applications in the field of green flexible electronics and smart packaging in the future. [ABSTRACT FROM AUTHOR]

In this paper, a consensus-based distributed formation control method is proposed for improving the coordinated battle efficiency of coordinated battle system for manned/unmanned aerial vehicles (MAV/UAVs). The method proposed is designed based on consensus protocol, which contains three parts. First, the distributed structure with limited centralized strategy for MAV/UAVs cooperative system is designed. Second, a second-order dynamic model is built up to describe the distributed formation system, which is further simplified using feedback linearization method. Third, the information exchange topology of MAV/UAV-coordinated battle system is established on the basis of graph theory and leader–follower mechanism. Finally, the effectiveness of the proposed formation strategy for MAV/UAVs cooperative system is proved asymptotic convergence by constructing a reasonable Lyapunov function which guarantees the accurate formation maintenance. Simulation results are presented to demonstrate the effectiveness of the proposed method. And comparative simulation results reveal that the method proposed in this paper is superior to traditional algorithms in the aspects of accuracy and stability. [ABSTRACT FROM AUTHOR]