Imaging-guided photothermal therapy (PTT) by combination of imaging and PTT has been emerging as a promising therapeutic method for precision therapy. However, the development of multicomponent nanoplatforms with stable structures for both PTT and multiple-model imaging remains a great challenge. Herein, we synthesized monodisperse Au-FeC Janus nanoparticles (JNPs) of 12 nm, which are multifunctional entities for cancer theranostics. Due to the broad absorption in the near-infrared range, Au-FeC JNPs showed a significant photothermal effect with a 30.2% calculated photothermal transduction efficiency under 808 nm laser irradiation in vitro. Owing to their excellent optical and magnetic properties, Au-FeC JNPs were demonstrated to be advantageous agents for triple-modal magnetic resonance imaging (MRI)/multispectral photoacoustic tomography (MSOT)/computed tomography (CT) both in vitro and in vivo. We found that Au-FeC JNPs conjugated with the affibody (Au-FeC-Z) have more accumulation and deeper penetration in tumor sites than nontargeting JNPs (Au-FeC-PEG) in vivo. Meanwhile, our results verified that Au-FeC-Z JNPs can selectively target tumor cells with low cytotoxicity and ablate tumor tissues effectively in a mouse model. In summary, monodisperse Au-FeC JNPs, used as a multifunctional nanoplatform, allow the combination of multiple-model imaging techniques and high therapeutic efficacy and have great potential for precision theranostic nanomedicines.

Bioinspired superhydrophobic coatings are of great interest in academic and industrial areas. However, their real-world applications are hindered by some main bottlenecks, especially the pollutive preparation methods (e.g., organic solvents and fluorinated compounds) and poor mechanical stability. Here, we report for the first time the totally waterborne, nonfluorinated, mechanically robust, and self-healing superhydrophobic coatings. The coatings were fabricated by spray-coating polyurethane (PU) aqueous solution and a hexadecyl polysiloxanemodified SiO 2 (SiO 2 @HD-POS) aqueous suspension onto substrates using PU as the adhesive. The SiO 2 @HD-POS suspension was synthesized by HCl-catalyzed reactions among hexadecyltrimethoxysilane, tetraethoxysilane, and SiO 2 nanoparticles. Besides high superhydrophobicity, the coatings exhibit exceptional mechanical stability against sandpaper abrasion for 200 cycles at 9.8 kPa and tape-peeling for 200 cycles at 90.5 kPa because of high durability and unique hierarchical macro-/nanostructure of the coating as well as solid lubrication of the SiO 2 @HD-POS nanoparticles fallen off from the coatings. The coatings also show fast and stable self-healing capability owing to migration of the healing agent (HD-POS) to the damaged surface. Moreover, the coatings exhibit good static and dynamic antiicing performance in outdoor environment (−15 °C, relative humidity = 54%). The superhydrophobic coatings may be used in various areas because the main bottlenecks have been successfully broken.

To construct more desirable adsorption affinity between the current metal−organic frameworks and benzothiophene (BT), a novel desulfurizer (V/Cu−BTC, where BTC represents 1,3,5-benzenetricarboxylic acid) was prepared by reducing Cu(II) to Cu(I) with V(III) on Cu−BTC using a hydrothermal synthesis method. Using nitrogen adsorption− desorption, powder X-ray diffraction, scanning electron microscopy, Fourier transform infrared spectroscopy, and X-ray photoelectron spectroscopy, we approved that the modifications of those novel desulfurizers have been successfully realized and further compared their structural changes. The BT capture performance from the different simulated fuels with V/Cu−BTC was evaluated by batch tests. The results manifest that V/Cu−BTC exhibited impressive desulfurization capacity, which is grander to Cu−BTC and some other adsorbents reported previously. Additionally, as a result of sieving and inertia mechanisms, this adsorbent possessed an extremely high affinity for BT capture in the presence of benzene. V/Cu−BTC showed a remarkable stability in BT adsorption, maintaining more than 90% initial sulfur uptake capacity after 5 regeneration times. In general, the V/ Cu−BTC material is very beneficial for the adsorptive removal of BT.

This article presents an up-to-date tutorial review of nonlinear Bayesian estimation. State estimation for nonlinear systems has been a challenge encountered in a wide range of engineering fields, attracting decades of research effort. To date, one of the most promising and popular approaches is to view and address the problem from a Bayesian probabilistic perspective, which enables estimation of the unknown state variables by tracking their probabilistic distribution or statistics (e.g., mean and covariance) conditioned on the system's measurement data. This article offers a systematic introduction of the Bayesian state estimation framework and reviews various Kalman filtering (KF) techniques, progressively from the standard KF for linear systems to extended KF, unscented KF and ensemble KF for nonlinear systems. It also overviews other prominent or emerging Bayesian estimation methods including the Gaussian filtering, Gaussian-sum filtering, particle filtering and moving horizon estimation and extends the discussion of state estimation forward to more complicated problems such as simultaneous state and parameter/input estimation.

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