16 research outputs found

    Worldwide productivity and research trend of publications concerning electroactive materials and spinal cord injury: A bibliometric study

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    Purpose: We investigated the current state and trends in the area during the previous 10 years using bibliometric approaches to evaluate the global scientific output of research on electroactive materials and spinal cord injury.Methods: Studies on spinal cord injury in electroactive materials that were published between 2012 and 2022 were located using the Web of science (WOS) datebase. The software programs bibliometrix R-package and CiteSpace were used to do quantitative analyses of annual publications, nation, author, institution, journal source, co-cited references, and keywords. The studies were categorized by the research’s main points using a qualitative analysis, and publications having more than 10 citations each year.Results: In the final analysis, 1,330 relevant papers or reviews were included. There is an increased tendency in both the average annual citation rate and the number of publications in the discipline. The United States and the University of Toronto are the countries and institutions that have contributed the most to this discipline, respectively. The majority of authors are from the China and United States. Zhang Y is the author with the most published articles and holds the top position in the cited author h-index species. The journal with the highest number of published articles is “Disability and rehabilitation”; the journal is divided into four main areas including physics, materials, chemistry, molecular, and biology. The keyword analysis revealed a shift in research hotspots from schwann cell, fracture, and urinary disorders to carbon-based materials, functional recovery, and surgery. Analysis of qualitative data revealed that the role and mechanism of injectable conductive hydrogels in spinal cord healing after damage is a hot topic of current study, with the mechanism primarily focusing on the inhibition of oxidative stress (Nrf2) and apoptosis (Casepase 3).Conclusion: Our bibliometric analysis indicates that research on electroactive materials for spinal cord injury remains an active field of study. Moreover, contemporary research is concentrated on carbon-based materials, functional rehabilitation, and surgery

    GLFormer: An Efficient Transformer Network for Fast Magnetic Resonance Imaging Reconstruction

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    Deep learning (DL)-based methods substantially enhance the speed of magnetic resonance imaging (MRI). Recently, transformer network architectures have been increasingly applied to image reconstruction owing to their exceptional ability to model long-range dependencies. However, directly employing a transformer network for MRI reconstruction results in a considerable computational burden because the computational complexity of the transformer is proportional to the square of the image spatial resolution. To alleviate this limitation, this study aims to design a computationally efficient transformer network with improved reconstruction performance. The proposed network, termed the global-local-transformer (GLFormer), is based on a multi-input multi-output architecture consisting of three components. A simplified self-attention, global attention is designed to extract the long-range dependency using a global pooling operator while maintaining linear complexity. Furthermore, depth convolution is incorporated into a feedforward network (FFN) to perform local feature aggregation, and a parallel-gated branch is designed for the FFN, thereby enhancing the effectiveness of representation learning and improving the reconstruction performance. To enhance the ability of the network to perceive frequency information, a deep frequency attention module is proposed to adaptively decompose and adjust frequency domain features, thereby enhancing the reconstruction performance. Experiments conducted on public datasets indicate that GLFormer outperforms state-of-the-art DL-based methods for different undersampling rates and types of undersampling patterns. Furthermore, GLFormer only exploits fewer model parameters and has a lower computational burden (i.e., 2.4 M and 19G) than the previous methods, while maintaining high reconstruction quality

    Application of Quantum Dots for Photocatalytic Hydrogen Evolution Reaction

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    There is increased interest in the conversion of solar energy into green chemical energy because of the depletion of fossil fuels and their unpleasant environmental effect. Photocatalytic hydrogen generation from water involves the direct conversion of solar energy into H2 fuels, which exhibits significant advantages and immense promise. Nevertheless, photocatalytic efficiency is considerably lower than the standard range of industrial applications. Low light absorption efficiency, the rapid recombination of photogenerated electrons and holes, slow surface redox reaction kinetics and low photostability are well known to be key factors negatively affecting photocatalytic hydrogen production. Therefore, to construct highly efficient and stable photocatalysts is important and necessary for the development of photocatalytic hydrogen generation technology. In this review, quantum dots (QDs)-based photocatalysts have emerged with representative achievements. Due to their excellent light-harvesting ability, low recombination efficiency of photogenerated electrons and holes, and abundant surface active sites, QDs have attracted remarkable interest as photocatalysts and/or cocatalyst for developing highly efficient photocatalysts. In this review, the application of QDs for photocatalytic H2 production is emphatically introduced. First, the special photophysical properties of QDs are briefly described. Then, recent progress into the research on QDs in photocatalytic H2 production is introduced, in three types: semiconductor QDs (e.g., CdS, CdMnS, and InP QDs), metal QDs (e.g., Au, Pt and Ag QDs), and MXene QDs and carbon QDs (CDQs). Finally, the challenges and prospects of photocatalytic H2 evolution with QDs in the future are discussed

    <p>Hybrid hydrogel microspheres loading single-hole hollow imprinted particles for fast and selective uptake of 2'& nbsp;-deoxyadenosine</p>

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    Hydrogel microspheres encapsulating molecularly imprinted polymers (MIPs) are promising hybrid sorbents, due to several advantages of high selectivity, fast mass transfer efficiency, and simple collection. Thus, Janus single hole hollow nanoparticles (J-HNPs) with the size of 550 +/-& nbsp; 70 nm were firstly designed by anisotropic emulsion template, and then MIPs were grafted onto their inner surface through electron transfer atom transfer radical polymerization (ARGET ATRP). Then as-prepared J-HNPs-MIPs were loaded into hydrogel microspheres via polymerizable water-in-oil (W/O) emulsion droplets combining gelatin methacryloyl (GMA) as monomers, and then obtained J-HNPs-MIPs@Gel with the mean diameter of 2.0 mu m was applied for effective and selective separation of 2'-deoxyadenosine (dA). Fast adsorption equilibrium of J-HNPs-MIPs@Gel for dA can be achieved within 40 min, thanks to the hydrogel matrix and single-hole hollow structure for enhancing diffusion. The maximum multi-layer adsorption capacity calculated according to the Freundlich model was 10.31 mu mol g(-1) at 298 K. The specific memory to the size, shape and functional groups of dA endowed excellent recognition ability, and 88% of the initial capacity after four consecutive adsorption-desorption cycles was maintained. In addition, J-HNPs-MIPs@Gel was expected to show great potential for the selective enrichment and analysis of target dA molecule in complex biological samples

    Research progress on the biosynthesis, activity and application of natural tetrapyrrole compounds

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    Tetrapyrrole compounds play vital roles in the life processes of animals and plants, such as respiration and photosynthesis, due to their functions in light energy capture and transmission, signal transduction, binding and transport of oxygen, their research originated from the study of heme and chlorophyll chemistry. The special structure of tetrapyrrole determines its various properties, which contribute to its antioxidant, anti-inflammatory, antitumoral, antibacterial, neuroprotective and other biological activities. Although many functions of tetrapyrrole compounds have been excavated and utilized, there is a lack of a complete system to summarize them. This review summarizes the biosynthesis, functional evolution, biological activities and optical applications of tetrapyrrole compounds based on existing research on tetrapyrrole compounds

    Switchable Enantioselectivity in Conjugate Alkyne Addition of β,γ-Unsaturated α‑Keto Esters by Asymmetric Binary Acid Catalysis

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    Switchable enantioselectivity was uncovered in the enantioselective catalytic conjugate addition of β,γ-unsaturated ι-keto esters with terminal alkynes to the chiral Lewis acid complex of In(BF4)3 and chiral phosphoric acid

    Fabrication of Ni<sub>2</sub>P Cocatalyzed CdS Nanorods with a Well-Defined Heterointerface for Enhanced Photocatalytic H<sub>2</sub> Evolution

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    Developing non-noble metal photocatalysts for efficient photocatalytic hydrogen evolution is crucial for exploiting renewable energy. In this study, a photocatalyst of Ni2P/CdS nanorods consisting of cadmium sulfide (CdS) nanorods (NRs) decorated with Ni2P nanoparticles (NPs) was fabricated using an in-situ solvothermal method with red phosphor (P) as the P source. Ni2P NPs were tightly anchored on the surface of CdS NRs to form a core-shell structure with a well-defined heterointerface, aiming to achieve a highly efficient photocatalytic H2 generation. The as-synthesized 2%Ni2P/CdS NRs photocatalyst exhibited the significantly improved photocatalytic H2 evolution rate of 260.2 μmol∙h−1, more than 20 folds higher than that of bare CdS NRs. Moreover, the as-synthesized 2%Ni2P/CdS NRs photocatalyst demonstrated an excellent stability, even better than that of Pt/CdS NRs. The photocatalytic performance enhancement was ascribed to the core-shell structure with the interfacial Schottky junction between Ni2P NPs and CdS NRs and the accompanying fast and effective photogenerated charge carriers’ separation and transfer. This work provides a new strategy for designing non-noble metal photocatalysts to replace the noble catalysts for photocatalytic water splitting

    Chromium (VI)‐induced ALDH1A1/EGF axis promotes lung cancer progression

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    Abstract Cr(VI) is broadly applied in industry. Cr(VI) exposure places a big burden on public health, thereby increasing the risk of lung squamous cell carcinoma (LUSC). The mechanisms underlying Cr(VI)‐induced LUSC remain largely elusive. Here, we report that the cancer stem cell (CSC)/tumour‐initiating cell (TIC)‐like subgroup within Cr(VI)‐transformed bronchial epithelial cells (CrT) promotes lung cancer tumourigenesis. Mechanistically, Cr(VI) exposure specifically increases the expression levels of aldehyde dehydrogenase 1A1 (ALDH1A1), a CSC marker, through KLF4‐mediated transcription. ALDH1A1 maintains self‐renewal of CrT/TICs and facilitates the expression and secretion of EGF from CrT/TICs, which subsequently promotes the activation of EGFR signalling in differentiated cancer cells and tumour growth of LUSC. In addition, the ALDH1A1 inhibitor A37 and gemcitabine synergistically suppress LUSC progression. Importantly, high ALDH1A1 expression levels are positively correlated with advanced clinical stages and predict poor survival in LUSC patients. These findings elucidate how ALDH1A1 modulates EGF secretion from TICs to facilitate LUSC tumourigenesis, highlighting new therapeutic strategies for malignant lung cancers
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