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Image-guided stimulus-responsive theranostics are beneficial for identifying malignant lesions and integrating multiple cell-killing mechanisms to enhance tumor cell clearance. Herein, an intelligent dual-responsive nanostructure (HSPMH-DOX) was developed for magnetic resonance imaging (MRI)-guided synergistic chemo-photothermal therapy (PTT) and chemodynamic therapy (CDT). The core-shell nanostructure was synthesized by layering polydopamine (PDA), manganese oxide (MnO 2), and hyaluronic acid (HA) onto drug-loaded hollow mesoporous silica nanoparticles (HS). The constructed nanoagent has both endogenous and external dual responses. The tumor microenvironment (pH/GSH) can trigger the degradation of gatekeeper (MnO 2 and PDA), resulting in the release of anti-tumor drugs, whereas external near-infrared light irradiation can accelerate the degradation process and generate local overheating, resulting in PTT. Notably, MnO 2 can not only consume intracellular GSH to enhance CDT but also release Mn2+ for precise localization of tumor tissues using MRI. Both in vitro and in vivo experiments showed that the prepared dual-response nanoagent satisfied biocompatibility, targeting, and the great efficiency of MRI-guided combined therapy. In animal models, combining chemo-PTT and CDT can eradicate tumors in less than two weeks. This work could pave the way for a wide range of stimulus-responsive synergistic theranostic applications, including MRI, chemo-photothermal therapy, and chemodynmic therapy. Low bioavailability and severe side effects remain the major limitations of conventional cancer chemotherapy. Image-guided combination therapy can alleviate these problems and improve tumor-specific therapy. In the present study, the anticancer drug doxorubicin was encapsulated in a core-shell hollow mesoporous silica nanostructure (HSPMH-DOX), enabling MRI-guided targeted release under both endogenous and external dual stimuli. Moreover, the photothermal and nanoenzymatic effects of nanomedicine can cause local overheating in the tumor and amplify the intracellular CDT effect, accelerating tumor eradication. Systematic evaluations in vitro and in vivo confirmed that nanomedicine enables highly effective MRI-guided synergistic chemo-photothermal and chemodynamic therapy. This work offers a promising therapeutic strategy for precise anti-tumor applications. [Display omitted] [ABSTRACT FROM AUTHOR]

The meta-structural design of flat absorbers demonstrates significant potential for improving microwave attenuation performance. However, the single mechanism of amplitude attenuation through resonance-enhanced effect necessitates considerable material thickness, restricting its application in electromagnetic (EM) defense. Utilizing the synergistic effect of multiple mechanisms is expected to break through the performance limits of microwave stealth metamaterials at the sub-wavelength scale. Herein, absorption-diffusion integration stacked metamaterials (ADISM) were designed using a multi-compound strategy, which comprises bionic porous spherical carbonyl iron powder (SCIP) coatings and stacked vortex metasurfaces (VMs). Such a metamaterial integrates EM scattering modulation with microwave absorption, enabling the creation of a broadband, high-efficiency, low-reflection design, providing an effective absorption bandwidth (EAB) reaching 10.42 GHz (7.58–18 GHz) at a thickness of 2.48 mm. Manipulating the orbital angular momentum (OAM) to effect wavefront transformation, the dissipation of EM wave energy is achieved. The absorption peak frequency modulation and absorption bandwidth broadening are achieved by the intrinsic loss capability of the porous coating, and corresponding mechanisms are demonstrated by simulation models. In short, the synergistic effects of microwave absorption and scattering modulation significantly enhance the return loss capability and facilitate broadband microwave attenuation. This research offers new insights into the multifunctional integration of EM stealth metamaterials. [Display omitted] [ABSTRACT FROM AUTHOR]

Chiral wave-absorbing metamaterials can enhance microwave attenuation performance by converting linearly polarized waves into circularly polarized waves. However, the mechanism for transforming incident waves into vortex waves to overcome the angular momentum mismatch to satisfy broadband stealth is unclear. This work proposes a chiral-assisted geometrically phase (CAGP) metasurfaces that utilizes the Pancharatnam-Berry (PB) phase concept to convert incident plane waves into reflected vortex waves. Such metamaterials demonstrate adaptive transformation capabilities under the incidence of electromagnetic (EM) waves with multi-polarization modes, providing an effective absorption bandwidth (≥90 % absorptivity, reflection loss ≤ −10 dB) reaches 6.92 GHz (9.16–16.08 GHz) at a thickness of 2.48 mm. Based on an orbital angular momentum (OAM) phase and amplitude analysis, the mode purity of the generated vortex waves is discussed in detail, and the mechanisms are analyzed and verified by simulation models to confirm their effectiveness and practicability. Additionally, the metamaterials exhibit excellent radar cross-section (RCS) reduction properties and stable polarization insensitivity properties. In short, this work presents a tailorable metasurface to manipulate the OAM spectrum and achieve broadband microwave attenuation, which holds great potential for various applications in chiral wave-absorbing metamaterials. [Display omitted] [ABSTRACT FROM AUTHOR]

Under global pressure of climate change, adopting an economic model of low-carbon development has become an inevitable choice for economies worldwide. Playing an important role in economics and carbon emission reduction, cities are crucial in development strategies planning at both national and regional levels. Based on the data of 198 prefecture-level cities in China from 2003 to 2019, this paper quantifies the low-carbon development index for each city, and analyzes the low-carbon development trend within cities using the club convergence method, and finally identifies the relevant factors influencing the low-carbon developmentby taking into account the divergent trends. The study found that: (1) The national low-carbon development index does not exhibit spontaneous convergence. (2) Cities ultimately fall into four converging clubs. Club 1 tends to converge toward a high level of low-carbon development, while Clubs 2, 3, and 4 tend to converge toward lower levels or may fail to achieve low carbon development, resulting in a widening gap with Club 1. This implies the existence of the Matthew effect. (3) Factors such as the financial interrelations ratio, foreign direct investment, urbanization, employment figures, and transportation enhancements can promote low-carbon development and alleviate the Matthew effect. • Carbon emissions and the indexes of low-carbon development are calculated. • Club convergence is found for low-carbon development at the city level. • Financial development enhances cities' low-carbon development. • The way to mitigate the Matthew effect has been discussed. [ABSTRACT FROM AUTHOR]

[Display omitted] • The drug-loaded amphiphilic nanofiber membrane is prepared by electrospinning technology. • Gradient release of hydrophilic and hydrophobic drugs under multiple stimulation. • Cooperate with antibacterial and anti-inflammatory functions to achieve effective wound healing. • The nanofiber membrane shows low biological toxicity and good biocompatibility. Prevention of bacterial infection and control of inflammatory responses play critical roles in wound healing. Wound dressing loaded with antibacterial or anti-inflammatory drugs/molecules is one of the feasible routes in clinical applications. Nonetheless, effective and controllable drug release remains challenging. Herein, by electrospinning polyvinyl alcohol (PVA), polylactic acid-glycolic acid (PLGA) with copper sulfide nanoparticles (CuS NPs) and two model drugs, namely antibacterial drugs (mupirocin, M) and anti-inflammatory drugs (valsartan, V), an operable wound-healing patch consist of amphiphilic Janus nanofiber membrane (PLGAV-CuS/PVAM) was prepared which was used to controllable gradient drug release in wound healing. Janus nanofiber membrane shows typical amphiphilic characteristics, with low biological toxicity and good biocompatibility. In vitro experiments showed that the nanofiber membrane could slowly and continuously release mupirocin in a hydrophilic environment for antibacterial purposes. In addition, the excellent photothermal effect of PLGAV CuS/PVAM can regulate the release rate of the anti-inflammatory drug valsartan, effectively reduce the inflammatory reaction in the wound healing process, and also show enhanced bacteriostasis efficiency (96.3% of Escherichia coli and 97.8% of Staphylococcus aureus). The prepared patches exhibited excellent antibacterial, anti-inflammatory, and sustained-release effects, which is of great significance for board the avenue of nanofiber in the biomedical field. [ABSTRACT FROM AUTHOR]

Multi-modal imaging probes through synergistically combining two or more imaging modalities into single nanoparticle, offer possibilities to address multiple issues such as resolution, sensitivity, and tissue penetration. In this study, we report a facile strategy to synthesize a dual-modal fluorescence/magnetic resonance (MR) imaging nanoprobe with bright fluorescence and significantly improved relaxivity, where Gd 3+ ions are simply chelated onto the outer surface of the cyclic DTPA dianhydride (cDTPAA) functionalized carbon quantum dots (CQDs). Transmission electron microscopy, Fourier transform infrared spectroscopy, X-ray photoelectron spectroscopy, and zeta potential measurements validated the successful preparation of CQD–DTPA–Gd. The surface conjugation of CQDs with cDTPAA and further Gd 3+ chelation does not perturb core optical properties of CQDs, and the thus prepared CQD–DTPA–Gd contain minimum Gd 3+ content (8.06%, w/w), while exhibiting significantly improved longitudinal relaxivity (56.72 mM −1 s −1 ). Excellent water solubility, good cell-membrane permeability and negligible cytotoxicity make CQD–DTPA–Gd an ideal dual-modal fluorescence/MR imaging probe, suggesting its potential and significance in practical bioimaging applications and medical translation in the future. [ABSTRACT FROM AUTHOR]

• We propose a lifelong framework for data quality monitoring of roadside sensors based on fully instrumented CAVs. • A novel trajectory similarity algorithm of LCSS-TRPS is developed to determine the CAV trajectory in the roadside perception dataset. • The indicators of absolute and relative positioning errors are designed to assess the data accuracy of roadside sensors. • The feasibility and efficiency of the framework are verified in the field experiments on Donghai Bridge, China. To monitor the data quality of roadside sensors in cooperative vehicle-infrastructure systems (CVIS), this study proposes a lifelong framework based on high-precision positioning and perception data of fully instrumented connected and automated vehicles (CAVs). First, a novel trajectory similarity algorithm, called longest common subsequence considering time and relative position sequences (LCSS-TRPS), is developed to match the CAV perception data with roadside perception data. The system time deviation is then calculated, and Kalman filtering is applied to synchronize the sampling time. Finally, indicators are rigorously designed considering absolute and relative positioning errors to assess the data accuracy. Simulation via PreScan and field experiments on Donghai Bridge (China) are conducted to verify the performance and feasibility of the proposed framework. The results show that the algorithms of trajectory matching and time synchronization are efficient and stable under different conditions, and the accuracy of data can be effectively evaluated by the designed indicators. [Display omitted] [ABSTRACT FROM AUTHOR]

An identification of the working stages of the excavator is used as the basis to realize a staged energy-saving control and reduce the fuel consumption. However, existing methods based on computer vision and multi-sensor information fusion technologies have limitations in practical applications. In this paper, an intelligent identification method for the working-cycle stages of an excavator is proposed based on the relationship between the working stages and the main pump pressure waveform. Three machine learning algorithms, a support vector machine (SVM), back propagation neural network (BPNN), and logistic regression (LR), were used to establish the intelligent recognition model. In addition, an intelligent calibration system was established to reduce the effects of human-induced factors and pressure fluctuations on the accuracy when using the original main pump pressure signals. The relationships among the identification accuracy, time window width, and signal sampling frequency were also studied. The results show that the library for support vector machine (LIBSVM) model outperforms the BPNN and LR, recording an accuracy of 94.64% when using the test set and an accuracy of 93.82% with an intelligent calibration system when using the original main pump pressure signals. The optimal time window width and signal sampling frequency are 0.5 s and 20 Hz, respectively. The proposed method is a practical approach to realize the real-time supervision of the working stage of an excavator, providing theoretical support for a staged energy-saving control. Unlabelled Image • A working stage recognition method for excavators based on pressure signals is raised. • Three machine learning methods are used to establish the action recognition model. • Misidentifications for original pressure signals are revised by calibration system. • The accuracy of 94.64% and 93.82% was obtained for the test set and the main pump pressure signals. • The optimal time window width and signal sampling frequency are 0.5 s and 20 Hz. [ABSTRACT FROM AUTHOR]

The new paradigm was introduced for achieving excellent electromagnetic (EM) waves absorption through multi-layer superimposed quasiperiodic-metamaterials, which were generated in rotary high entropy alloys ribbon. With the help of asymmetry, the designed anisotropic metamaterials with excellent absorption (Reflection Loss ≤ − 10 dB) covered from 3.8 GHz to 18 GHz on the scale of sub-wavelength. High entropy alloys ribbon increased soft magnetic properties that design cascaded configuration metamaterials displayed distinct phase differences with increased rotation angle, which significantly focus on microwave attenuation. Meanwhile, the direction of the wave vector accompanied by rotation can realize polarized conversion, from linear polarizer to circular polarizer which is demonstrated in simulation, highly desirable in controlling EM waves and shrinking the size of traditional absorbing coating. Our study provides a fresh perspective to developing high-performance absorbers by combining soft magnetic and irregular phase patterns as possible as need for complex EM waves manipulations, arbitrary phase encoding, and vortex field. [Display omitted] • Quasiperiodic structure, without translation symmetry but possess rotation symmetries, can regard as a novelty paradigm for achieving excellent electromagnetic wave absorption. • Based on alloying elements, the electromagnetic parameters of high entropy alloys ribbon used to design cascaded configuration metamaterials for rotating wavefront. • With the help of asymmetry, the effective absorption bandwidth (Reflection Loss ≤ − 10 dB) covered from 3.8 GHz to 18 GHz on the scale of sub-wavelength. • The high entropy alloy ribbons can realize polarized conversion, from linear polarizer to circular polarizer in simulation, and adjust the position of absorption peak when combined with traditional wave absorbing coating. [ABSTRACT FROM AUTHOR]

• The propagation characteristic of the clutch failure in the MM-EMTS is explored. • A fault hybrid propagation model based on stochastic hybrid automata of the MM-EMTS is formulated. • A hybrid estimation algorithm based on particle filter is employed to estimate the hybrid states. In order to reveal the failure mechanism of the clutch at the system level and realize online fault diagnosis and localization of the hybrid electric vehicle equipped with a specific multi-mode electromechanical transmission system (MM-EMTS), with particular emphasis on the behavior of clutch slippage failure. The fault propagation mechanism is analyzed at both the component and system levels, revealing that fault propagation is jointly driven by changes in continuous state variables and discrete system-constrained states. Based on the hybrid propagation characteristics of clutch faults, a systematic fault diagnosis strategy is constructed. This strategy establishes a fault hybrid propagation model based on the stochastic hybrid automaton (SHA), built upon a unified health and fault mode of the system. Furthermore, a hybrid estimation algorithm based on the particle filter is employed to estimate the discrete modes of the system, enabling the diagnosis and localization of the faulty clutch. The accuracy of fault isolation is validated through the estimated continuous state variables provided by the algorithm. Research results indicate that with 80 particles and resampling, the algorithm can accurately locate the faulty clutch within 0.02 s after failure. The mean absolute errors for the continuous state variables are 0.2756, 0.7193, and 0.5182, while the root mean square errors are 0.6282, 2.2705, and 1.1389. [ABSTRACT FROM AUTHOR]

Although various absorbers have been developed for electromagnetic-wave absorption materials (EAMs), the uniform composition and microstructure limit the design freedom of the soft magnetic properties, thus resulting in a ceiling of the absorption properties. Herein, we propose a revolutionary concept of C-doped FeCoNiSiAl high-entropy-alloy (HEA) ribbons with hierarchical nanostructures composed of ultrafine grains (400 nm), B2 nanoprecipitates (80 nm), and C@FeNi core–shell nanoparticles (15 nm) to induce superior soft magnetization and absorption. The hierarchical nanostructures resulted in a low coercivity (H C , 589.04 A/m) and a low conductivity (294.1 S/cm) to support the loss effect and impedance matching, and 87% of the saturation magnetization (M S , 135.13 emu/g) was maintained, even at the high temperature of 973 K, corresponding to ultra-stable magnetization. Furthermore, the Curie-temperature was greater than 1000 K. The B2 nanoprecipitates and corresponding interfaces created strong stray magnetic flux lines and magnetic domain vortices, and thus, the metasurfaces innovatively fabricated with HEA ribbons induced a strong absorption peak (−50.88 dB) and effective broadband absorption (reflection loss (RL) ≤ −10 dB within 5.86–18 GHz) due to the strong magnetic coupling. The hierarchical nanostructure is a promising strategy to tailor magnetic HEAs with a new degree of freedom for advanced EAMs. [Display omitted] [ABSTRACT FROM AUTHOR]

Highlights: [•] A novel “three-in-one” sample preparation method was designed for VitaFast® kits. [•] Simultaneous determination of vitamin B12, biotin and folic acid is required. [•] The results were in good agreement with those of the classical VitaFast® protocol. [•] One extraction buffer can meet determination of several vitamins at the same time. [•] The proposed novel method makes assays faster and improves work efficiency. [ABSTRACT FROM AUTHOR]

In order to effectively monitor the operational status and detect faults within a hybrid electric vehicle during mode transitions, this study focuses on a specific power-split hybrid electric vehicle model known as the multimode electromechanical composite transmission system (MM-EMCTS HEV). Taking into account the actual occurrence frequency and simulatability of faults in MM-EMCTS HEV, key faults are extracted. Based on the distinctive characteristics and properties of critical system faults, a fault diagnosis framework is constructed by leveraging global analytical redundancy relations (GARRs). This framework encompasses strategies for residual generation across sensors, actuators, and controlled components, alongside residual evaluation techniques employing mode-dependent adaptive thresholds. The detectability and isolatability of the MM-EMCTS are thoroughly analyzed. Subsequently, simulation and verification of the residual responses under typical faults in the MM-EMCTS are implemented in Matlab/Simulink and Simscape. The results demonstrate the efficacy of the fault diagnosis method, rooted in global analytical redundancy relations and mode-dependent adaptive thresholds, in successfully detecting and isolating faults within multimode electromechanical composite transmission systems. Furthermore, compared to conventional fixed threshold residual evaluation approaches, this method significantly mitigates the occurrence of missed detections, thus verifying the effectiveness and superiority of the proposed method. • The fault diagnosis model for the MM-EMCTS HEV is constructed. • A structural framework is proposed for fault diagnosis in MM-EMCTS HEV, utilizing global redundancy relationships. • A mode-dependent adaptive threshold for residual evaluation is designed based on statistical theory. [ABSTRACT FROM AUTHOR]

At present, constructing composite materials with different absorbing mechanism is the popular strategy to realize the complementary and synergetic properties for electromagnetic (EM) wave absorbing materials. However, the effective magnetic response is generally struggled to achieve. Besides the composition design strategy, fully utilizing the interfacial polarization is another efficient method for the fabrication of microwave absorbing (MA) materials. In this work, the titanium nitride/nickel/carbon (TiN/Ni/C) ternary composites were fabricated through an in-situ thermal nitridation process. The EM dissipation factors can be regulated by rational design of the ternary heterogeneous interface through varying the precursor composition. The minimum reflection loss (RL) of the optimized TiN/Ni/C nanocomposite can reach −35.1 dB at 12.4 GHz and the effective absorption bandwidth (EAB) is 3.6 GHz with a thickness of 1.7 mm. The enhanced absorbing property is benefited from the effective structure design with tunable heterogeneous interface and continuous carbon matrix which would achieve promoted interfacial polarization, conductivity relaxation and the electromagnetic impedance matching. Special structures of TiN/Ni/C ternary composites played a vital role in the effective electromagnetic absorption properties, which is significant for designing efficient MA materials. Image 1 • TiN/Ni/C ternary nanocomposites with expanded heterogeneous interface were successfully synthesized. • The electromagnetic parameter could be adjusted by heterogeneous interface and continuous matrix of the composites. • The balanced impedance matching and enhanced electromagnetic energy conversion capability were achieved simultaneously. • Excellent EM absorbents with broad frequency bandwidth coverage could be designed effectively. [ABSTRACT FROM AUTHOR]

[Display omitted] • A PDA-HA-based hybrid hydrogel was prepared via doped Mupirocin-loaded polydopamine nanoparticles. • The multifunctional hydrogel shows synergistic photothermal antibacterial to accelerate infected wound healing. • The hybrid hydrogel can adapt to the shape and adhesiveness of the wound and rapid hemostasis. • The hybrid hydrogel shows low biological toxicity and good biocompatibility. Surgical site infection (SSI) is a feared complication in liver resection. Developing wound dressings that effectively combat bacterial infection and promote tissue regeneration is clinically significant. Herein, we present a near-infrared (NIR) light-responsive multifunctional hydrogel system (PDA/Mup@DA-HA) consisting of mupirocin-loaded polydopamine nanoparticles (PDA) and dopamine-modified hyaluronic acid (DA-HA) hydrogel to accelerate bacteria-infected wound healing. The hybrid hydrogel has good adhesion and three-dimensional porous structure, which can adapt to the shape of the wound for adequate hemostasis and provide a suitable microenvironment for wound healing. The polydopamine nanoparticles doped inside the hydrogel are uniformly distributed and have the functions of loading antibacterial drugs and photothermal therapy. Therefore, the excellent adhesion of hydrogel can quickly attach to infected wounds and generate controllable local hyperthermia under near-infrared light irradiation, induce the destruction of bacterial integrity, and increase the effective release of the antibacterial drug mupirocin, thereby synergistically leading to bacterial inactivation. Notably, the animal model indicates that the hybrid hydrogel can significantly accelerate wound healing caused by bacterial infections under near-infrared light irradiation by reducing inflammatory reactions and promoting vascular reconstruction. The multifunctional hydrogel dressing provides a reliable tool for treating bacterial-infected wounds in clinical applications. [ABSTRACT FROM AUTHOR]

• Improving the model's predictive capacity for large masked areas. • Maintaining a lower number of parameters and FLOPs for the model. • Alleviating the potential increase in reconstruction errors in normal regions. Visual anomaly detection aims to identify areas where the appearance deviates from the normal distribution. Reconstruction-based methods detect anomalies through the analysis of reconstruction errors. In particular, Inpainting-based methods aim to reduce the potential for network generalization of anomalies by introducing random masks. However, larger anomalies may still be reconstructed, making them challenging to discriminate. Although enhancing the network's long-distance modeling capability offers the possibility to mitigate the reconstruction of anomalous regions, there is a possibility that the reconstruction error for normal regions increases and the ability to discriminate small anomalies is reduced due to the random nature of the mask placement. To address this issue, we introduce a correction branch to modify the original reconstruction results obtained from the reconstruction network during testing. This method can alleviate the potential increase in reconstruction errors in normal regions caused by the randomness of the mask to some extent and enhance the network's responsiveness to anomalous regions. We also propose a reconstruction network constructed with ConvNeXt blocks and the incorporation of the channel attention mechanism, which enhances the long-distance modeling ability, thereby improving the model's predictive capacity for large masked areas, this network also improves the reconstruction of textures, thereby improving the network's capacity to discriminate anomalies. The proposed method achieves competitive results on the challenging benchmark MVTec AD and BTAD datasets. [ABSTRACT FROM AUTHOR]

The inability of existing electromagnetic wave absorbing materials (EAMs) to manipulate electromagnetic waves in multiple dimensions leads to the failure to satisfy the demands placed on electromagnetic (EM) defense technology by the current complex EM environment. To break this dilemma, this study focuses on the impedance properties of EAMs, conferring additional ability to disperse and deflect reflected waves by encoding EAMs with opposite phase responses in different impedance mismatch modes. Due to the synergy of both absorption and scattering mechanisms, the developed scattering metamaterial absorber exhibits excellent anti-reflection performance, with reflectivity below 0.1 in the 7.8–16.7 GHz at 2 mm thickness. Furthermore, a genetic algorithm is employed to tailor the desired scattering field to meet the stealth requirements of specific environments, allowing for the directional transmission of EM energy in the one-dimensional or homogeneous distribution in the three-dimensional. The proposed scattering metamaterial absorber constructed by coded EAMs exhibited excellent anti-reflection properties and environmental stealth adaptability, opening up new possibilities for the development of advanced EM defense technology. [ABSTRACT FROM AUTHOR]

In this study, a novel stable Ag-Titanium-oxo-cluster (Ag-TOC, Ag 9 Ti 4) with excellent antibacterial performance and anti-inflammatory was developed by one-step solvothermal method. Hydrogel based Ag 9 Ti 4 under NIR condition demonstrated better anti-inflammatory and wound healing ability. [Display omitted] • A novel stable, excellent antibacterial Ag-Titanium-oxo-cluster (Ag-TOC, Ag 9 Ti 4) with active site Ag and salicylic acid was developed. • Hydrogel based Ag 9 Ti 4 cluster system has good antibacterial and photothermal properties. • Hydrogel based Ag 9 Ti 4 system under NIR condition showed better anti-inflammatory and wound healing ability. Titanium-oxo-clusters (TOCs), due to its precise, tunable structure and rich properties, have been widely used in many fields. However, application of TOCs is greatly limited in biomedical area owing to the impact of its own performances, for example, unstable structure, lack of antibacterial and anti-inflammatory properties required as biomedical materials. In this work, we developed a novel stable, excellent antibacterial and anti-inflammatory properties Ag-Titanium-oxo-cluster (Ag-TOC, Ag 9 Ti 4) with active site Ag and salicylic acid by one-step solvothermal method, through introducing silver and salicylic acid. Then, the Ag 9 Ti 4 cluster was introduced into the dopamine-containing hydrogel system, the results in vitro indicated this Ag 9 Ti 4 cluster hydrogel system possesses good antibacterial and photothermal properties. Moreover, the results in vivo indicated the Ag 9 Ti 4 hydrogel system showed better anti-inflammatory and wound healing ability under NIR condition. Combined with its excellent properties, we believed that the construction of antibacterial, photothermal and stable Ag-TOC hydrogel system can provide a new strategy for the expanding biomedical applications of TOCs. [ABSTRACT FROM AUTHOR]

• Obtained two novel butterfly-shaped structure monomers. • Conjugated microporous polymers films can be obtained via electropolymerization. • Both the PTTPBA and PTTPTA films showed good electrochemical properties. • PTTPBA and PTTPTA films exhibited faster response time. Conjugated microporous polymers (CMPs) have attracted much attention owing to the existence of extended π-conjugated skeleton, which possess 3D cross-linked framework that benefits for charge transporting in the polymer film due to the non-planar structure for active groups of the monomers. In this manuscript, two novel CMP films based on butterfly-shaped diphenylamine-thiophene derivatives were synthesized via electropolymerization. Both the polymer film showed good electrochemical properties. The microstructure and thickness of polymer films were characterized by SEM, TEM and AFM, and the results indicated uneven surface of the polymer films were observed, which consisted of many particles and aggregations. The change of bridge group has little effect on the showing color feature, both the films displayed reversible color change from green to blue upon the different applied potentials. Comparing with the linear intermediate polymer films, both the CMP films held faster switching time (about 1 s). Moreover, the polymers possessed good coloration efficiency and stability, which promised them potential application for electrochromic device. [Display omitted] [ABSTRACT FROM AUTHOR]

The structural destructive resonance caused by the single resonant thickness of flat microwave absorbers results in narrow absorption, hindering the progress of stealth materials. Multi-scale optimization and metastructure design are effective in the improvement of multiple resonance thickness as well as wavefront transmission, allowing for greater freedom in the realization of broadband. Herein, hierarchical metamaterials constructed from pyramid metastructure composites and Huygens' metasurface on the basis of Fibonacci spiral element are reported here, with effective absorption bandwidth (reflection loss ≤ −10 dB) ranging from 4.8 to 18 GHz in terms of subwavelength thickness. The hybrid absorber also exhibits robustness with incident angle across 0°–50° for transverse magnetic polarization. The gradient impedance model based on pyramid composites comprising spherical carbonyl iron particles and graphene sheets will serve as a driver for the enhancement of the electromagnetic wave transmission and the booster of impedance matching. Huygens' resonance of HMS induces the magnetic field convergence effect due to the simultaneous balance of effective surface current and magnetic current, which facilitates the absorption of lossy composites for further broadening absorption bandwidth. This integrated design could be widely applied to other absorbent materials of choice. [Display omitted] • In the case of the electrical and magnetic response are properly balanced, the field excited by the meta-atom composed of centrosymmetric Fibonacci spirals shows similar dispersion of electric and magnetic polarizabilities, resulting in a negligible reflection of the proposed Huygens' metasurface in the frequency range of 2–18 GHz. • A comprehensive design of hierarchical metamaterials from four perspectives: microscale, mesoscale, macroscale and metamaterials, which provides a rigorous and scientific route for the broadband directional design of microwave absorbing materials. • The effective absorption bandwidth of proposed hierarchical metamaterial ranges from 4.8 to 18 GHz across C, X and Ku-band in terms of subwavelength thickness (0.096 λ 0) which merely 7% over theoretical minimum thickness dictated by the causality limit, and exhibits robustness with incident angle across 0°–50° for transverse magnetic polarization. [ABSTRACT FROM AUTHOR]

Nowadays, about 30% of magnetic resonance imaging (MRI) exams need contrast agents (CAs) to improve the sensitivity and quality of the images for accurate diagnosis. Here, a multifunctional nano-agent with ring-like vortex-domain iron oxide as core and gadolinium oxide as shell (vortex nanoring Fe 3 O 4 @Gd 2 O 3 , abbreviated as VNFG) was firstly designed and prepared for highly enhanced T 1 -T 2 dual-modality magnetic resonance imaging (MRI)-guided magnetic thermal cancer therapy. After thorough characterization, the core-shell structure of VNFG was confirmed. Moreover, the excellent heat generation property (SAR=984.26 W/g) of the proposed VNFG under alternating magnetic fields was firmly demonstrated. Furthermore, both in vitro and in vivo studies have revealed a good preliminary indication of VNFG's biological compatibility, dual-modality enhancing feature and antitumor efficacy. This work demonstrates that the proposed VNFG can be a high-performance tumor diagnosis and theranostic treatment agent and may have great potential for clinical application in the future. [Display omitted] • A highly efficient T 1 -T 2 dual-modality MRI contrast agent (VNFG) was synthesized by multistep reactions. • VNFG showed both extremely high R 1 and R 2 , as well as an ideal low ratio (r 2 /r 1). • The excellent heat generation property (SAR=984.26 W/g) of VNFG under different alternating magnetic fields was firmly demonstrated. • In vitro and in vivo studies demonstrated the ability of VNFG as an efficient theranostic agent for MRI-guided magnetic thermal cancer ablation. [ABSTRACT FROM AUTHOR]