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Herein, a new organic cationic matrix [N(CH3)4]3MoO3F3 suitable for Mn4+ doping was constructed. Due to the large steric hindrance of N[CH3]4+ (TMA), charge compensation defects can be effectively prevented in the heterovalent Mn4+-doping process, and a high IQE (91.05%) was obtained. Through the cation co-doping strategy, Mg2+/Zn2+/Li+ cations were introduced into the Mo6+ cationic site, which improved the crystallinity of the matrix and reduced energy losses, so as to improve luminescence intensity, QE, thermal stability, water stability and other spectral properties. Meanwhile, [N(CH3)4]2TiF6:Mn4+ phosphors with the same TMA organic cation and equivalent Mn4+ doping were synthesized for comparison, and the effects of the Mg2+ cation co-doping strategy on the spectral properties of phosphors with different matrix types (fluoride/oxyfluoride) and substitution types (equivalent/non-equivalent) were analyzed. These findings provide the basis for the preparation of new luminescent materials. Furthermore, according to the optical properties exhibited by these phosphors, they are packaged into WLED devices with excellent photoelectric properties, which are suitable for indoor lighting and display fields. [ABSTRACT FROM AUTHOR]

With the increasing intelligence of automobiles, vehicle pre-ventilation can be better controlled. In summer, cars parked in the open air are directly exposed to sunlight; thus, a high-temperature environment is formed in the occupant cabin, which seriously affects the passengers and driver's riding and driving experience. Meanwhile, lowering the temperature of the passenger compartment from a very high temperature to a comfortable temperature consumes a lot of energy. Therefore, it is increasingly important to study the pre-ventilation of the cabin in order to improve the thermal comfort of the occupant cabin and reduce energy consumption. In this paper, a new theoretical model of a cabin temperature control system is proposed. To support the theoretical model, an outdoor parking temperature rise test was carried out. Environmental parameters were obtained and used as the boundary conditions of the subsequent simulation. Based on the mechanism of the cabin temperature rise, the convective heat transfer coefficient on the body surface, the equivalent heat transfer model of the cabin, the solar radiation model and the physical properties of the air, a computational simulation of the temperature rise in the occupant cabin was carried out, and a simulation of the temperature rise in the occupant cabin exposure was studied. The simulation results were compared with the experimental findings to verify the accuracy of the simulation, which provided a reference for the design of the pre-cooling function of the occupant cabin. This study revealed that the pre-ventilation model developed reduces the vehicle cabin temperature through optimal control of air supply volumes and air supply angles. Furthermore, the developed pre-ventilation model is capable of reducing energy consumption, thereby reducing greenhouse gas emissions. [ABSTRACT FROM AUTHOR]

In this paper, a Pythagorean-Hodograph (PH) curve-based pick-and-place operation trajectory planning method for Delta parallel robots is proposed, which realizes the flexible control of pick-and-place operations to meet the requirements of various practical scenarios. First, according to the geometric relationship of pick-and-place operation path, different pick-and-place operations are classified. Then trajectory planning is carried out for different situations, respectively, and in each case, the different polynomial motion laws adopted by the linear motion segment and the curved motion segment are solved. Trajectory optimization is performed with the motion period as optimization objective. The proposed method is easier to implement, and at the same time satisfies the safety, optimization, mobility, and stability of the robot; that is, the proposed method realizes obstacle avoidance, optimal time, flexible control of the robot trajectory, and stable motion. Simulations and experiments verify the effectiveness of the method proposed in this paper. The proposed method can not only realize the fast, accurate, and safe operation in intelligent manufacturing fields such as rapid classification, palletizing, grasping, warehousing, etc., but its research route can also provide a reference for trajectory planning of intelligent vehicles in logistics system. [ABSTRACT FROM AUTHOR]

A series of single‐chain random heteropolymer (RHP)‐derived artificial ion channels with both high K+ selectivity and controllable pH‐gated behaviors were fabricated by a facile "one‐pot" polymerization method. The benzo‐18‐crown‐6 moieties appended on lateral chains of RHPs can form ion‐permeable nanopores and transport K+ over Na+ through the lipid bilayers. The ion permeation selectivity was significantly enhanced by incorporating a cholesterol group to serve as a membrane anchor. Interestingly, similar to natural gated protein channels, on–off switchable characteristics were also realized by integrating an additional acid‐sensitive alkylamine group into the RHP‐derived channel. The unique design strategies have endowed the RHP‐derived ion channels with facile synthetic procedures, desirable membrane compatibility, high K+ selectivity, and tunable pH‐gated properties. This work provides an entry point for future design of novel functional nanochannels. [ABSTRACT FROM AUTHOR]

The atomically monodispersed dual‐atom nanozyme not only possesses the advantages of homogeneous active centers and high atomic utilization efficiency but also exhibits amazing synergistic effect for higher catalytic activities than single‐atom nanozyme. However, how to construct dual‐atom nanozyme with multi‐enzyme cascade capacity for protecting against brain tissue damage is a great challenge. Herein, for coping with the secondary damage to brain tissue caused by the explosive generation of reactive oxygen species(ROS) during cerebral ischemia‐reperfusion, a multi‐enzyme cascade antioxidant system is constructed by encapsulating dual‐Fe‐atom nanozyme (Fe2NC) in a selenium‐containing MOF (Se‐MOF) shell layer. The designed dual‐Fe‐atom nanozyme exhibits higher superoxide dismutase‐like, catalase‐like, and even oxidase‐like activities than single‐atom Fe (Fe1NC) nanozyme, and moreover, the Se‐MOF shell layer not only acts as a glutathione peroxidase mimic, but also improves the stability and biocompatibility of the Fe2NC nanozyme obviously. The synergistic effect of Fe2NC has been demonstrated to be the main reason for the higher activity by density functional theory calculations. In vitro and in vivo results reveal that the multifunctional antioxidant Fe2NC@Se nanoparticles can counteract oxidative damage and inhibit neural apoptosis after cerebral ischemia‐reperfusion injury by effectively eliminating intracellular ROS and potentially inhibiting the ASK1/JNK apoptotic signaling pathway. [ABSTRACT FROM AUTHOR]

An artificial signal transduction model with a supramolecular recognition headgroup, a membrane anchoring group, and a pro-enzyme catalysis endgroup was constructed. The transmembrane translocation of the transducer can be reversibly regulated by competitive host–guest complexations as an input signal to control an enzyme reaction inside the lipid vesicles. [ABSTRACT FROM AUTHOR]

Aiming at the situation that the structural parameters of the general manipulators are uncertain, a time-varying impedance controller based on model reference adaptive control (MRAC) is proposed in this article. The proposed controller does not need to use acceleration-based feedback or to measure external loads and can tolerate considerable structure parameter errors. The global uniform asymptotic stability of the time-varying closed-loop system is analyzed, and a selection approach for control parameters is presented. It is demonstrated that, by using the proposed control parameter selection approach, the closed-loop system under the adaptive controller is equivalent to an existing result. The feasibility of the presented controller for the general manipulators is demonstrated by some numerical simulations. [ABSTRACT FROM AUTHOR]

Nanozymes are emerging nanomaterials with ideal enzymatic catalytic performance. The development of nanozymes has been shown clear potential to overcome the limitations of natural enzymes such as troublesome preparation, ease of denaturation, high price, and difficulty of recycling. Since the discovery of magnetic Fe3O4 nanoparticles with intrinsic peroxidase‐like activity in 2007, the researches on nanozymes have been booming in the next decade. According to the unique nanoscale effect, nanozymes show prominent catalytic performance, which enables them to be applied in various fields of biomedical engineering. In this review, we mainly focus on the catalytic therapeutics of nanozymes in combating bacteria, cancer therapy, alleviating inflammation and neuroprotection. [ABSTRACT FROM AUTHOR]

Bacterial infections pose severe threats to global public health security. Developing antibacterial agents with both high efficiency and safety to handle this problem has become a top priority. Here, highly stable and effective polymer nanosheets have been constructed by the covalent co-assembly of a pillar[5]arene derivative and metalloporphyrin for photodynamic antibacterial therapy (PDAT). The monolayer nanosheets are strongly positively charged and thus capable of binding with Staphylococcus aureus (SA) through electrostatic interactions. Additionally, the nanosheets can be activated to generate reactive oxygen species (ROS) under white-light irradiation, and exhibit satisfactory antibacterial performance towards SA. More importantly, cell viability assays demonstrate that the nanosheets show little to no cytotoxicity impact on mammalian cells even when the concentrations are much higher than those employed in the antibacterial studies. The above results suggest that the polymer nanosheets could be an effective antibacterial agent to overcome bacterial infections and hold a broad range of potential applications in real life. [ABSTRACT FROM AUTHOR]

Summary: In this paper, we propose an iterative learning control strategy to track a desired trajectory for a class of uncertain systems governed by nonlinear differential inclusions. By imposing Lipschitz continuous condition on a set‐valued mapping described by a closure of the convex hull of a set and using D‐type and PD‐type updating laws with initial iterative learning, we establish the iterative learning process and give a new convergence analysis with the help of Steiner‐type selector. Finally, numerical examples are provided to verify the effectiveness of the proposed method with suitable selection of set‐valued mappings. An application to the speed control of robotic fish is also given. [ABSTRACT FROM AUTHOR]

Orthogonal dynamic covalent self‐assembly is used as a facile method for constructing polymer hollow nanocapsules (NCs) and thin films. The bifunctional precursor 4‐formylphenylboronic acid is symmetrically installed with a boronic acid group for the boroxine linkage, and an aldehyde group for the Schiff base reaction which can react with twofold symmetry linkers ethylenediamine and para phenylenediamine to attain polymer NCs and nanosheets. Owing to the reversibility of the imine linkages, the mutual morphological transformation between polymer NCs and thin films via an amine‐imine‐exchange strategy is successfully achieved. Multiple reversible covalent bonds allow the control the release of the load in polymer NCs using different techniques. This may be useful for designing stimulus‐responsive smart materials. [ABSTRACT FROM AUTHOR]

A supramolecular nanocapsule was constructed by the ternary host–guest complexation of azobenzene (Azo) and methylviologen (MV) to cucurbit[8]uril (CB[8]) and the subsequent self-assembly. The supramolecular nanocapsule with both glutathione peroxidase (GPx) and superoxide dismutase (SOD) activities can mimic the intracellular enzymatic reactive oxygen species (ROS) defense system. [ABSTRACT FROM AUTHOR]

The establishment of new enzymatic function in an existing scaffold is a great challenge for protein engineers. In previous work, a highly efficient artificial selenoenzyme with controllable activity was constructed, based on a Ca2+‐responsive recoverin (Rn) protein. In this study, a design strategy combining docking, molecular dynamics, and MM‐PBSA is presented, to predict the catalytically active site of glutathione peroxidase (GPx) on the allosteric domain of Rn. The energy contributions of the binding hot spot residues are evaluated further by energy decomposition analysis to determine the detailed substrate recognition mechanism of Rn, which provides clear guidance for artificial enzyme design for improved substrate binding (Michaelis–Menten constant, Km). [ABSTRACT FROM AUTHOR]

Abstract In this paper, we present a numerical solution for a finite time complete tracking problem based on the iterative learning control technique for dynamical systems governed by partial differential inclusions of parabolic type with noninstantaneous impulses. By imposing a standard Lipschitz condition on a set-valued mapping and applying conventional P-type updating laws with an initial iterative learning mechanism, we successfully establish an iterative learning process for the tracking problem and conduct a novel convergence analysis with the help of Steiner-type selectors. Sufficient conditions are presented for ensuring asymptotical convergence of the tracking error to zero. Numerical examples are provided to verify the effectiveness of the proposed method with a suitable selection of set-valued mappings. [ABSTRACT FROM AUTHOR]

Herein, we demonstrate a supramolecular nanochannel formed by intermolecular π stacking of pyridine–pyridazine helical oligomers, wherein alkali ions could be easily recognized and transported. Importantly, this nanochannel also revealed reversible collection and triggered-release behaviors via modulating the folded and unfolded states of helical pyridine–pyridazine oligomers. [ABSTRACT FROM AUTHOR]

Self-constructing giant fused vesicles based on hydrazone-pillar[5]arene (HP5) were formed catalytically in weak acid via the formation of dynamic covalent bonds in water. The HP5 vesicles mimicked the process of biomembrane fusion and acted as biocatalysis microreactors induced by fusion. [ABSTRACT FROM AUTHOR]