An Anti-Oxidative Bioink for Cartilage Tissue Engineering Applications.

Since chondrocytes are highly vulnerable to oxidative stress, an anti-oxidative bioink combined with 3D bioprinting may facilitate its applications in cartilage tissue engineering. We developed an anti-oxidative bioink with methacrylate-modified rutin (RTMA) as an additional bioactive component and glycidyl methacrylate silk fibroin as a biomaterial component. Bioink containing 0% RTMA was used as the control sample. Compared with hydrogel samples produced with the control bioink, solidified anti-oxidative bioinks displayed a similar porous microstructure, which is suitable for cell adhesion and migration, and the transportation of nutrients and wastes. Among photo-cured samples prepared with anti-oxidative bioinks and the control bioink, the sample containing 1 mg/mL of RTMA (RTMA-1) showed good degradation, promising mechanical properties, and the best cytocompatibility, and it was selected for further investigation. Based on the results of 3D bioprinting tests, the RTMA-1 bioink exhibited good printability and high shape fidelity. The results demonstrated that RTMA-1 reduced intracellular oxidative stress in encapsulated chondrocytes under H2O2 stimulation, which results from upregulation of COLII and AGG and downregulation of MMP13 and MMP1. By using in vitro and in vivo tests, our data suggest that the RTMA-1 bioink significantly enhanced the regeneration and maturation of cartilage tissue compared to the control bioink, indicating that this anti-oxidative bioink can be used for 3D bioprinting and cartilage tissue engineering applications in the future.

Injectable Nanocomposite Immune Hydrogel Dressings: Prevention of Tumor Recurrence and Anti-Infection after Melanoma Resection.

Complex wound repair due to tumor recurrence and infection following tumor resection presents significant clinical challenges. In this study, a bifunctional nanocomposite immune hydrogel dressing, SerMA-LJC, is developed to address the issues associated with repairing infected damaged tissues and preventing tumor recurrence. Specifically, the immune dressing is composed of methacrylic anhydride-modified sericin (SerMA) and self-assembled nanoparticles (LJC) containing lonidamine (Lon), JQ1, and chlorine e6 (Ce6). In vitro and in vivo experiments demonstrate that the nanocomposite hydrogel dressing can trigger immunogenic cell death (ICD) and has a potent anti-tumor effect. Moreover, this dressing can mitigate the acidic microenvironment of tumor cells and suppress the overexpression of PD-L1 on the tumor cell surface, thereby altering the immunosuppressive tumor microenvironment and augmenting the anti-tumor immune response. Further, the RNA sequencing analysis revealed that the hydrogel dressing significantly impacts pathways associated with positive regulation of immune response, apoptotic process, and other relevant pathways, thus triggering a potent anti-tumor immune response. More importantly, the dressing generates a substantial amount of reactive oxygen species (ROS), which can effectively kill Staphylococcus aureus and promote infectious wound healing. In conclusion, this dual-function nanocomposite immune hydrogel dressing exhibits promise in preventing tumor recurrence and promoting infectious wound healing.

A novel adjustable PHBV basement film for enhancing the efficacy of glaucoma surgery by inhibiting scar formation.

Trabeculectomy is the primary surgical approach used to treat glaucoma, but scarring of the filtering passage (filtering bleb) after surgery often leads to treatment failure. To address this issue, we have developed a drug release system called RSG/Pd@ZIF-8 PHBV film. This system enables the sustained release of an anti-fibrosis drug, aiming to prevent scarring. In vitro, the film has the function of continuous Rosiglitazone (RSG) release, with accelerated release after laser irradiation. The antibacterial experiments revealed that the film exhibited antibacterial rates of 87.0 % against E.coli and 97.1 % against S.aureus, respectively. Moreover, we confirmed its efficacy in a rabbit eye model undergoing trabeculectomy. After implantation of the film, we observed a prolonged postoperative period for reducing intraocular pressure (IOP), increased survival rate of filtering blebs, and improved long-term surgical outcomes in vivo. Additionally, the film exhibited excellent biosafety. In summary, the designed sustained-release film in this study possesses the aforementioned functionalities, allowing for the regulation of anti-scarring drug release without causing harm post-surgery. This personalized and precise anti-scarring strategy represents a significant advancement.

3D-printed bioink loading with stem cells and cellular vesicles for periodontitis-derived bone defect repair.

The suitable microenvironment of bone regeneration is critically important for periodontitis-derived bone defect repair. Three major challenges in achieving a robust osteogenic reaction are the exist of oral inflammation, pathogenic bacteria invasion and unaffluent seed cells. Herein, a customizable and multifunctional 3D-printing module was designed with glycidyl methacrylate (GMA) modified epsilon-poly-L-lysine (EPLGMA) loading periodontal ligament stem cells (PDLSCs) and myeloid-derived suppressive cells membrane vesicles (MDSCs-MV) bioink (EPLGMA/PDLSCs/MDSCs-MVs, abbreviated as EPM) for periodontitis-derived bone defect repair. The EPM showed excellent mechanical properties and physicochemical characteristics, providing a suitable microenvironment for bone regeneration.In vitro, EPMs presented effectively kill the periodontopathic bacteria depend on the natural antibacterial properties of the EPL. Meanwhile, MDSCs-MV was confirmed to inhibit T cells through CD73/CD39/adenosine signal pathway, exerting an anti-inflammatory role. Additionally, seed cells of PDLSCs provide an adequate supply for osteoblasts. Moreover, MDSCs-MV could significantly enhance the mineralizing capacity of PDLSCs-derived osteoblast. In the periodontal bone defect rat model, the results of micro-CT and histological staining demonstrated that the EPM scaffold similarly had an excellent anti-inflammatory and bone regeneration efficacyin vivo. This biomimetic and multifunctional 3D-printing bioink opens new avenues for periodontitis-derived bone defect repair and future clinical application.

Layered Quasi-Nevskite Metastable-Phase Cobalt Oxide Accelerates Alkaline Oxygen Evolution Reaction Kinetics.

Clarifying the structure-reactivity relationship of non-noble-metal electrocatalysts is one of the decisive factors for the practical application of water electrolysis. In this field, the anodic oxygen evolution reaction (OER) with a sluggish kinetic process has become a huge challenge for large-scale production of high-purity hydrogen. Here we synthesize a layered quasi-nevskite metastable-phase cobalt oxide (LQNMP-Co2O3) nanosheet via a simple molten alkali synthesis strategy. The unit-cell parameters of LQNMP-Co2O3 are determined to be a = b = 2.81 Šand c = 6.89 Šwith a space group of P3̅m1 (No. 164). The electrochemical results show that the LQNMP-Co2O3 electrocatalyst enables delivering an ultralow overpotential of 266 mV at a current density of 10 mA cmgeo-2 with excellent durability. The operando XANES and EXAFS analyses clearly reveal the origin of the OER activity and the electrochemical stability of the LQNMP-Co2O3 electrocatalyst. Density functional theory (DFT) simulations show that the energy barrier of the rate-determining step (RDS) (from *O to *OOH) is significantly reduced on the LQNMP-Co2O3 electrocatalyst by comparing with simulated monolayered CoO2 (M-CoO2).

Emergent Intrinsic Ferromagnetism in Two-Dimensional Trigonal Rhodium Oxide.

Two-dimensional (2D) van der Waals single crystals with long-range magnetic order are the precondition and urgent task for developing a 2D spintronics device. In contrast to graphene and transition metal dichalcogenides, the study of 2D single-crystal metal oxides with intrinsic ferromagnetic properties remains a huge challenge. Here, we report a large-size trigonal single-crystal rhodium oxide (SC-Tri-RhO2), with crystal parameters of a = b = 3.074 Å, c = 6.116 Å, and a space group of P3̅m1 (164), exhibiting strong ferromagnetism (FM) at a rather high temperature. Furthermore, theoretical calculations suggest that the ferromagnetism in SC-Tri-RhO2 originates from spin splitting near the Fermi level, and the total magnetic moment is contributed mainly by the Rh atom.

Stable and oxidative charged Ru enhance the acidic oxygen evolution reaction activity in two-dimensional ruthenium-iridium oxide.

The oxygen evolution reactions in acid play an important role in multiple energy storage devices. The practical promising Ru-Ir based catalysts need both the stable high oxidation state of the Ru centers and the high stability of these Ru species. Here, we report stable and oxidative charged Ru in two-dimensional ruthenium-iridium oxide enhances the activity. The Ru0.5Ir0.5O2 catalyst shows high activity in acid with a low overpotential of 151 mV at 10 mA cm-2, a high turnover frequency of 6.84 s-1 at 1.44 V versus reversible hydrogen electrode and good stability (618.3 h operation). Ru0.5Ir0.5O2 catalysts can form more Ru active sites with high oxidation states at lower applied voltages after Ir incorporation, which is confirmed by the pulse voltage induced current method. Also, The X-ray absorption spectroscopy data shows that the Ru-O-Ir local structure in two-dimensional Ru0.5Ir0.5O2 solid solution improved the stability of these Ru centers.

Superhydrophilicity boron-doped cobalt phosphide nanosheets decorated carbon nanotube arrays self-supported electrode for overall water splitting.

Transition metal borides (TMBs) or phosphides (TMPs) have attracted great attention to the design of bifunctional electrocatalysts for energy storage. The superaerophobicity and superhydrophilicity of the catalytic electrode surface are crucial factors to determine the reaction process of the gas electrode. Herein, we report a self-supported electrode of carbon nanotube (CNTs) array grown on carbon cloth (CC) modulated together by boron-doped cobalt phosphide (CoP-B/CNTs/CC). The electrode requires the overpotential of 73.8 mV and 189.5 mV at the current density of ±10 mA cm-2 for hydrogen and oxygen evolution reactions in an alkaline electrolyte (1.0 M KOH), respectively, meanwhile maintaining outstanding long-term durability for more than 300 h. The excellent activity of CoP-B/CNTs/CC is attributed to boron doping regulating its electronic structure and further enriching active sites. The attractive stability of CoP-B/CNTs/CC is due to the unique geometric structure of the self-supported electrode. Furthermore, the superaerophobicity and superhydrophilicity of the electrode surface also accelerate the reaction process of the gas electrode. Expectedly, water splitting cells assembled using CoP-B/CNTs/CC electrodes as cathode and anode, respectively, require a cell voltage of 1.54 V at 10 mA cm-2, which is lower than that of the Pt/C/CC||RuO2/CC couple (1.69 V at 10 mA cm-2). Importantly, CoP-B/CNTs/CC||CoP-B/CNTs/CC achieve stable cell voltage under the step current changes (10 mA cm-2, 50 mA cm-2, and 100 mA cm-2) over 300 h. This work highlights a new path to understanding the effects of the static and dynamic behavior of bubbles on the surface of self-supporting electrodes on catalytic performance.

A sturgeon cartilage extracellular matrix-derived bioactive bioink for tissue engineering applications.

Three-dimensional (3D) bioprinting provides a promising strategy for tissue and organ engineering, and extracellular matrix (ECM)-derived bioinks greatly facilitate its applications in these areas. Decellularized sturgeon cartilage ECM (dSC-ECM)-derived bioinks for cartilage tissue engineering were fabricated with methacrylate-modified dSC-ECM (dSC-ECMMA) and sericin methacrylate (SerMA), which optimizedthe mechanical properties of their solidified hydrogels.dSC-ECM induces chondrocytes to form cell clusters and subsequently reduces their proliferation, but the proliferation of encapsulated chondrocytes was normal in solidified dSC-ECM-5 bioink samples, which contain 5 mg/mL dSC-ECMMA. Hence, this bioink was selected for further investigation. Lyophilized dSC-ECM-5 hydrogels showed connected pore microstructure, which is suitable for cell migration and nutrients transportation. ThisdSC-ECM-5 bioink exhibited high fidelity and good printability by testing via a 3D bioprinting system, and the chondrocytes loaded in printed hydrogel products were viable and able to grow, following incubation, in the cell culture medium. Solidified dSC-ECM-5 and SerMA bioinks loaded with chondrocytes were subcutaneously implanted into nude mice for 4 weeks to test the suitability of the bioink for cartilage tissue engineering. Compared to the SerMA bioink, the dSC-ECM-5 bioink significantly enhanced cartilage tissue regeneration and maturation in vivo, suggesting the potential of this bioink to be applied in cartilage tissue engineering in the future.

In situ formed scaffold with royal jelly-derived extracellular vesicles for wound healing.

Background: Safe and effective wound healing can be a major clinical challenge. Inflammation and vascular impairment are two main causes of inadequate wound healing. Methods: Here, we developed a versatile hydrogel wound dressing, comprising a straightforward physical mixture of royal jelly-derived extracellular vesicles (RJ-EVs) and methacrylic anhydride modified sericin (SerMA), to accelerate wound healing by inhibiting inflammation and promoting vascular reparation. Results: The RJ-EVs showed satisfactory anti-inflammatory and antioxidant effects, and significantly promoted L929 cell proliferation and migration in vitro. Meanwhile, the photocrosslinked SerMA hydrogel with its porous interior structure and high fluidity made it a good candidate for wound dressing. The RJ-EVs can be gradually released from the SerMA hydrogel at the wound site, ensuring the restorative effect of RJ-EVs. In a full-thickness skin defect model, the SerMA/RJ-EVs hydrogel dressing accelerated wound healing with a healing rate of 96.8% by improving cell proliferation and angiogenesis. The RNA sequencing results further revealed that the SerMA/RJ-EVs hydrogel dressing was involved in inflammatory damage repair-related pathways including recombinational repair, epidermis development, and Wnt signaling. Conclusion: This SerMA/RJ-EVs hydrogel dressing offers a simple, safe and robust strategy for modulating inflammation and vascular impairment for accelerated wound healing.

Hyperspectral Image Classification With Multi-Attention Transformer and Adaptive Superpixel Segmentation-Based Active Learning.

Deep learning (DL) based methods represented by convolutional neural networks (CNNs) are widely used in hyperspectral image classification (HSIC). Some of these methods have strong ability to extract local information, but the extraction of long-range features is slightly inefficient, while others are just the opposite. For example, limited by the receptive fields, CNN is difficult to capture the contextual spectral-spatial features from a long-range spectral-spatial relationship. Besides, the success of DL-based methods is greatly attributed to numerous labeled samples, whose acquisition are time-consuming and cost-consuming. To resolve these problems, a hyperspectral classification framework based on multi-attention Transformer (MAT) and adaptive superpixel segmentation-based active learning (MAT-ASSAL) is proposed, which successfully achieves excellent classification performance, especially under the condition of small-size samples. Firstly, a multi-attention Transformer network is built for HSIC. Specifically, the self-attention module of Transformer is applied to model long-range contextual dependency between spectral-spatial embedding. Moreover, in order to capture local features, an outlook-attention module which can efficiently encode fine-level features and contexts into tokens is utilized to improve the correlation between the center spectral-spatial embedding and its surroundings. Secondly, aiming to train a excellent MAT model through limited labeled samples, a novel active learning (AL) based on superpixel segmentation is proposed to select important samples for MAT. Finally, to better integrate local spatial similarity into active learning, an adaptive superpixel (SP) segmentation algorithm, which can save SPs in uninformative regions and preserve edge details in complex regions, is employed to generate better local spatial constraints for AL. Quantitative and qualitative results indicate that the MAT-ASSAL outperforms seven state-of-the-art methods on three HSI datasets.

Sparganii Rhizoma alleviates pulmonary fibrosis by inhibiting fibroblasts differentiation and epithelial-mesenchymal transition mediated by TGF-ß1/ Smad2/3 pathway.

ETHNOPHARMACOLOGICAL RELEVANCE: Pulmonary fibrosis (PF), a lethal lung disease, can lead to structural destruction of the alveoli until death. Sparganii Rhizoma (SR), primarily distributed in East Asia, has been used clinically for hundreds of years against organ fibrosis and inflammation. AIM OF THE STUDY: We intended to verify the effect of SR alleviate PF and further explore mechanisms. METHODS: Murine model of PF was established by endotracheal infusion of bleomycin. We detected the anti-PF effect of SR through lung coefficient, hydroxyproline content, lung function and pathological staining. Then, we used Western Blot and RT-PCR to verify the mechanism. In vitro experiments, MRC-5 and BEAS-2B were induced to phenotypic transformation by TGF-ß1 and then RT-PCR, WB and IF were conducted to verify the effect of SR. RESULTS: SR significantly reduced BLM-induced PF in mice, improved lung function, slowed the degree of lung tissue lesions, and reduced collagen deposition. SR alleviated PF by inhibiting fibroblasts differentiation and epithelial-mesenchymal transition. In vivo studies explored the mechanism and found that it was related to TGF-ß1/Smad2/3 pathway. CONCLUSIONS: Our research proved SR could effectively treat PF, providing a fresh idea and approach for the treatment of PF with traditional Chinese medicine.

Iridium oxide nanoribbons with metastable monoclinic phase for highly efficient electrocatalytic oxygen evolution.

Metastable metal oxides with ribbon morphologies have promising applications for energy conversion catalysis, however they are largely restricted by their limited synthesis methods. In this study, a monoclinic phase iridium oxide nanoribbon with a space group of C2/m is successfully obtained, which is distinct from rutile iridium oxide with a stable tetragonal phase (P42/mnm). A molten-alkali mechanochemical method provides a unique strategy for achieving this layered nanoribbon structure via a conversion from a monoclinic phase K0.25IrO2 (I2/m (12)) precursor. The formation mechanism of IrO2 nanoribbon is clearly revealed, with its further conversion to IrO2 nanosheet with a trigonal phase. When applied as an electrocatalyst for the oxygen evolution reaction in acidic condition, the intrinsic catalytic activity of IrO2 nanoribbon is higher than that of tetragonal phase IrO2 due to the low d band centre of Ir in this special monoclinic phase structure, as confirmed by density functional theory calculations.

Metastable Hexagonal Phase SnO2 Nanoribbons with Active Edge Sites for Efficient Hydrogen Peroxide Electrosynthesis in Neutral Media.

Electrochemical two-electron oxygen reduction reaction (2 e- ORR) to produce hydrogen peroxide (H2 O2 ) is a promising alternative to the energetically intensive anthraquinone process. However, there remain challenges in designing 2 e- ORR catalysts that meet the application criteria. Here, we successfully adopt a microwave-assisted mechanochemical-thermal approach to synthesize hexagonal phase SnO2 (h-SnO2 ) nanoribbons with largely exposed edge structures. In 0.1 M Na2 SO4 electrolyte, the h-SnO2 catalysts achieve the excellent H2 O2 selectivity of 99.99 %. Moreover, when employed as the catalyst in flow cell devices, they exhibit a high yield of 3885.26 mmol g-1 h-1 . The enhanced catalytic performance is attributed to the special crystal structure and morphology, resulting in abundantly exposed edge active sites to convert O2 to H2 O2 , which is confirmed by density functional theory calculations.

CoP2/Co2P Encapsulated in Carbon Nanotube Arrays to Construct Self-Supported Electrodes for Overall Electrochemical Water Splitting.

Electrocatalytic water splitting is a desirable and sustainable strategy for hydrogen production yet still faces challenges due to the sluggish kinetics and rapid deactivation of catalysts in the oxygen evolution process. Herein, we utilized the metal-catalyzed growth technology and phosphating process to fabricate self-supported electrodes (CoxPy@CNT-CC) composed of carbon nanotube (CNT) arrays grown on carbon cloth (CC); thereinto, cobalt-based phosphide nanoparticles (CoxPy) are uniformly encapsulated in the cavity of the CNTs. After further optimization, when the nanoparticles are in the composite phase (CoP2/Co2P), CoP2/Co2P@CNT-CC served as catalytic electrodes with the highest activity and stability for electrocatalytic water splitting in an alkaline medium (1.0 M KOH). The as-prepared CoP2/Co2P@CNT-CC integrates the advantages of the abundant active sites and confinement effect of CNTs, imparting promising electrocatalytic activities and stability in catalyzing both hydrogen evolution reaction and oxygen evolution reaction. Remarkably, electrocatalytic water splitting cells assembled using CoP2/Co2P@CNT-CC electrodes as the cathode and anode, respectively, require a cell voltage of 1.55 V at 10 mA cm-2, which is lower than that of the commercially noble Pt/C/CC and RuO2/CC catalyst couple (1.68 V). Besides, a CoP2/Co2P@CNT-CC||CoP2/Co2P@CNT-CC system shows outstanding durability for a period of 100 h at 10 mA cm-2. This work may provide new ideas for designing bifunctional electrocatalysts for applications in electrocatalytic water splitting.

Coupling of nanocrystal hexagonal array and two-dimensional metastable substrate boosts H2-production.

Designing well-ordered nanocrystal arrays with subnanometre distances can provide promising materials for future nanoscale applications. However, the fabrication of aligned arrays with controllable accuracy in the subnanometre range with conventional lithography, template or self-assembly strategies faces many challenges. Here, we report a two-dimensional layered metastable oxide, trigonal phase rhodium oxide (space group, P-3m1 (164)), which provides a platform from which to construct well-ordered face-centred cubic rhodium nanocrystal arrays in a hexagonal pattern with an intersurface distance of only 0.5 nm. The coupling of the well-ordered rhodium array and metastable substrate in this catalyst triggers and improves hydrogen spillover, enhancing the acidic hydrogen evolution for H2 production, which is essential for various clean energy-related devices. The catalyst achieves a low overpotential of only 9.8 mV at a current density of -10 mA cm-2, a low Tafel slope of 24.0 mV dec-1, and high stability under a high potential (vs. RHE) of -0.4 V (current density of ~750 mA cm-2). This work highlights the important role of metastable materials in the design of advanced materials to achieve high-performance catalysis.

An antibacterial ε-poly-L-lysine-derived bioink for 3D bioprinting applications.

The limited availability of bioinks has hindered the application of 3D bioprinting to tissue engineering, and bacterial infection is a serious threat to these applications. Aiming to solve this problem, a novel ε-poly-L-lysine (EPL)-derived antibacterial bioink has been developed for 3D bioprinting and tissue-engineering applications. Three glycidyl methacrylate (GMA)-modified EPL products, EPLGMA-1, EPLGMA-2, and EPLGMA-3, were prepared by reacting 3, 4, and 5 mL GMA with 5 g EPL, respectively. EPLGMA-1, EPLGMA-2, and EPLGMA-3 were photocurable and their corresponding photo-crosslinked hydrogels, EPLGMA-1H, EPLGMA-2H, and EPLGMA-3H, all exhibited very high antibacterial rates, good biocompatibility, good degradability, and promising mechanical properties. After EPLGMA-1H, EPLGMA-2H, and EPLGMA-3H with encapsulated chondrocytes were incubated for 4 weeks, EPLGMA-3H was the best one among them for tissue-engineering applications due to its most efficient tissue regeneration. Carrying chondrocytes, the EPLGMA-3 solution was printed into hydrogel products with high-fidelity shapes and high cell viability using a projection-based 3D bioprinter. Following the implantation of chondrocyte-loaded EPLGMA-3H samples into nude mice for 4 weeks, cartilage-like tissue was regenerated, suggesting that EPLGMA-3 is a promising antibacterial bioink for 3D bioprinting and tissue-engineering applications.

A naringin-derived bioink enhances the shape fidelity of 3D bioprinting and efficiency of cartilage defect repair.

3D bioprinting is a major area of interest in health sciences for customized manufacturing, but lacks specific bioinks to enhance the shape fidelity of 3D bioprinting and efficiency of tissue repair for particular clinical purposes. A naringin derived bioink, which contains 1.5 mM methylacryloyl naringin and 0.15 mM methylacryloyl gelatin, improves the fidelity of 3D bioprinting due to 405 nm light absorption of methylacryloyl naringin. The naringin derived bioink promotes the growth of chondrocytes due to preserving bioactivities of naringin and functions as a medical ingredient from which it has been described as a medical bioink in this study. It facilitates cartilage regeneration by upregulating the transcription of chondrogenesis-related genes like SOX9 and genes against oxidative stress like SOD1 and SOD2 and maintains chondrocytes active resulting from the significantly enhanced COL II/COL I ratio. According to a rabbit cartilage defect model, the proposed naringin derived medical bioink significantly improves the efficiency and quality of cartilage defect repair, suggesting that the bioink is suitable for cartilage defect repair applications and a feasible strategy is provided for the formulation of medical bioinks for specific clinical purposes.

Qingfei Litan Decoction Against Acute Lung Injury/Acute Respiratory Distress Syndrome: The Potential Roles of Anti-Inflammatory and Anti-Oxidative Effects.

Acute lung injury/acute respiratory distress syndrome (ALI/ARDS) is an acute respiratory failure syndrome characterized by progressive arterial hypoxemia and dyspnea. Qingfei Litan (QFLT) decoction, as a classic prescription for the treatment of acute respiratory infections, is effective for the treatment of ALI/ARDS. In this study, the compounds, hub targets, and major pathways of QFLT in ALI/ARDS treatment were analyzed using Ultra high performance liquid chromatography coupled with mass spectrometry (UHPLC-MS) and systemic pharmacology strategies. UHPLC-MS identified 47 main components of QFLT. To explore its anti-inflammatory and anti-oxidative mechanisms, gene ontology (Go) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment and network pharmacological analysis were conducted based on the main 47 components. KEGG enrichment analysis showed that TNF signaling pathway and Toll-like receptor signaling pathway may be the key pathways of ALI/ARDS. We explored the anti-inflammatory and anti-oxidative pharmacological effects of QFLT in treatment of ALI/ARDS in vivo and in vitro. QFLT suppressed the levels of proinflammatory cytokines and alleviated oxidative stress in LPS-challenged mice. In vitro, QFLT decreased the levels of TNF-α, IL-6, IL-1ß secreted by LPS-activated macrophages, increased GSH level and decreased the LPS-activated reactive oxygen species (ROS) in lung epithelial A549 cells. This study suggested that QFLT may have anti-inflammatory and anti-oxidative effects on ALI/ARDS, combining in vivo and in vitro experiments with systemic pharmacology, providing a potential therapeutic strategy option.

Superpixel Guided Deformable Convolution Network for Hyperspectral Image Classification.

Convolutional neural networks are widely used in the field of hyperspectral image classification because of their excellent nonlinear feature extraction ability. However, as the sampling position of the regular convolution kernel is unchangeable, the regular convolution cannot distinctively extract the spatial and spectral information around the central pixel, which makes the classification results at the boundaries of ground objects over-smoothed and the classification performance degraded. Thus, we propose a novel superpixel guided deformable convolution network (SGDCN) for hyperspectral image classification. Firstly, the superpixel region fusion filter (SRF-Filter) is designed to fuse the initial superpixel region segmented by the simple linear iterative clustering (SLIC), making the fused superpixel region have a high homogeneity and also contain spatial features of diverse scales. Then, the superpixel guided deformable convolution (SGD-Conv) is proposed to make the shape of deformable convolution consistent with the real shape of land covers, and the SGD-Conv can extract pure neighborhood spatial-spectral features. Finally, a superpixel joint bilateral filter (SPJBF) is designed to solve the pixel-level and region-level misclassification problem, which can effectively utilize the superpixel region's homogeneity and improve the classification accuracy. Experiments on three HSI datasets indicate that the SGDCN can obtain better classification performance when compared with other twelve state-of-the-art methods.