{"title":"Memristor-based in-situ convolutional strategy for accurate braille recognition","authors":"Xianghong Zhang \u0000 (, ), Congyao Qin \u0000 (, ), Wenhong Peng \u0000 (, ), Ningpu Qin \u0000 (, ), Enping Cheng \u0000 (, ), Jianxin Wu \u0000 (, ), Yuyang Fan \u0000 (, ), Qian Yang \u0000 (, ), Huipeng Chen \u0000 (, )","doi":"10.1007/s40843-024-3122-7","DOIUrl":"10.1007/s40843-024-3122-7","url":null,"abstract":"<div><p>Signal processing has entered the era of big data, and improving processing efficiency becomes crucial. Traditional computing architectures face computational efficiency limitations due to the separation of storage and computation. Array circuits based on multi-conductor devices enable full hardware convolutional neural networks (CNNs), which hold great potential to improve computational efficiency. However, when processing large-scale convolutional computations, there is still a significant amount of device redundancy, resulting in low computational power consumption and high computational costs. Here, we innovatively propose a memristor-based <i>in-situ</i> convolutional strategy, which uses the dynamic changes in the conductive wire, doping area, and polarization area of memristors as the process of convolutional operations, and uses the time required for conductance switching of a single device as the computation result, embodying convolutional computation through the unique spiked digital signal of the memristor. Our strategy reasonably encodes complex analog signals into simple digital signals through a memristor, completing the convolutional computation at the device level, which is essential for complex signal processing and computational efficiency improvement. Based on the implementation of device-level convolutional computing, we have achieved feature recognition and noise filtering for braille signals. We believe that our successful implementation of convolutional computing at the device level will promote the construction of complex CNNs with large-scale convolutional computing capabilities, bringing innovation and development to the field of neuromorphic computing.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":773,"journal":{"name":"Science China Materials","volume":"67 12","pages":"3986 - 3993"},"PeriodicalIF":6.8,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142714605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ivan A. Kruglov (, ), Liudmila A. Bereznikova (, ), Congwei Xie (, ), Dongdong Chu (, ), Ke Li (, ), Evgenii Tikhonov (, ), Abudukadi Tudi (, ), Arslan Mazitov (, ), Min Zhang (, ), Shilie Pan (, ), Zhihua Yang (, )
{"title":"Graph neural network guided design of novel deep-ultraviolet optical materials with high birefringence","authors":"Ivan A. Kruglov \u0000 (, ), Liudmila A. Bereznikova \u0000 (, ), Congwei Xie \u0000 (, ), Dongdong Chu \u0000 (, ), Ke Li \u0000 (, ), Evgenii Tikhonov \u0000 (, ), Abudukadi Tudi \u0000 (, ), Arslan Mazitov \u0000 (, ), Min Zhang \u0000 (, ), Shilie Pan \u0000 (, ), Zhihua Yang \u0000 (, )","doi":"10.1007/s40843-024-3114-4","DOIUrl":"10.1007/s40843-024-3114-4","url":null,"abstract":"<div><p>Finding crystals with high birefringence (Δ<i>n</i>), especially in deep-ultraviolet (DUV) regions, is important for developing polarization devices such as optical fiber sensors. Such materials are usually discovered using experimental techniques, which are costly and inefficient for a large-scale screening. Herein, we collected a database of crystal structures and their optical properties and trained atomistic line graph neural network to predict their Δ<i>n</i>. To estimate the level of confidence of the trained model on new data, D-optimality criterion was implemented. Using trained graph neural network, we searched for novel materials with high Δ<i>n</i> in the Materials Project database and discovered two new DUV birefringent candidates: NaYCO<sub>3</sub>F<sub>2</sub> and SClO<sub>2</sub>F, with high Δ<i>n</i> values of 0.202 and 0.101 at 1064 nm, respectively. Further analysis reveals that strongly anisotropic units with various anions and <i>π</i>-conjugated planar groups are beneficial for high Δ<i>n</i>.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":773,"journal":{"name":"Science China Materials","volume":"67 12","pages":"3941 - 3947"},"PeriodicalIF":6.8,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142714302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fanling Meng (, ), Yanan Li (, ), Siyu Wang (, ), Yanni Pan (, ), Shangbang Gao (, ), Liang Luo (, )
{"title":"Shiitake-derived lentinan prevents α-synuclein aggregation, disassembles amyloid aggregates, and protects dopaminergic neurons","authors":"Fanling Meng \u0000 (, ), Yanan Li \u0000 (, ), Siyu Wang \u0000 (, ), Yanni Pan \u0000 (, ), Shangbang Gao \u0000 (, ), Liang Luo \u0000 (, )","doi":"10.1007/s40843-024-3078-y","DOIUrl":"10.1007/s40843-024-3078-y","url":null,"abstract":"<div><p>Parkinson’s disease (PD) is the second largest degenerative disease of central nervous system around the world. α-Synuclein (α-syn) is the main component of Lewy body amyloid deposits in the brain of PD patients and associated with the pathogenesis of PD. α-Syn aggregates can induce neuron death and cause irreversible neurological damage. Therefore, the inhibition of α-syn aggregation and removal of preformed amyloid fibers are important strategies for the prevention and treatment of PD. However, there is still a lack of potent inhibitors to interfere with α-syn aggregation. In this work, we demonstrate that lentinan (LNT), a natural polysaccharide extracted from the fruit body of <i>Lentinula edodes</i>, can potently prevent α-syn aggregation, disassemble preformed amyloid aggregates, and suppress α-syn-mediated cell toxicity and reactive oxygen species generation. Interestingly, we also find that the molecular weight of the polysaccharide impacts the inhibitory effect of LNT. Further <i>in vivo</i> investigation demonstrates that LNT significantly inhibits the accumulation of α-syn in nematodes <i>C. elegans</i>, relieves the symptoms of PD nematode motility disorders, and effectively protects dopaminergic neurons from <i>C. elegans</i> PD models. To the best of our knowledge, this is the first time to report that LNT can modulate α-syn aggregation <i>in vitro</i> and <i>in vivo</i>, which will provide new insights for designing and developing potential agents for PD treatment.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":773,"journal":{"name":"Science China Materials","volume":"67 12","pages":"3898 - 3907"},"PeriodicalIF":6.8,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142714366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mariusz Hasiak, Beata Sobieszczańska, Amadeusz Łaszcz, Michał Biały, Jacek Chęcmanowski, Tomasz Zatoński
{"title":"Fabrication and comprehensive evaluation of Zr-based bulk metallic glass matrix composites for biomedical applications","authors":"Mariusz Hasiak, Beata Sobieszczańska, Amadeusz Łaszcz, Michał Biały, Jacek Chęcmanowski, Tomasz Zatoński","doi":"10.1007/s40843-024-3059-6","DOIUrl":"10.1007/s40843-024-3059-6","url":null,"abstract":"<div><p>The aim of this study is to fabricate Zr-based bulk metallic glass matrix composites (BMG-MCs) for biomedical usage and subject them to a comprehensive and farreaching analysis with respect to their mechanical properties, biocorrosion resistance, biocompatibility, and interactions with biofilms that all may arise from their chemical compositions and unusual disordered internal structure. In this study, we fabricate Zr<sub>40</sub>Ti<sub>15</sub>Cu<sub>10</sub>Ni<sub>10</sub>Be<sub>25</sub>, Zr<sub>50</sub>Ti<sub>15</sub>Cu<sub>10</sub>Ni<sub>10</sub>Be<sub>25</sub>, and Zr<sub>40</sub>Ti<sub>15</sub>Cu<sub>10</sub>Ni<sub>5</sub>Si<sub>5</sub>Be<sub>25</sub> alloys and confirm their glassy matrix nature through differential scanning calorimetry (DSC) and scanning electron microscopy (SEM) analyses. The mechanical properties, assessed via nanoindentation, demonstrate the high hardness, strength, and elasticity of the produced materials. Corrosion resistance is investigated in simulated body fluid, with Zr-based BMG-MCs exhibiting superior performance compared to conventional biomedical materials, including 316L stainless steel and Ti6Al4V alloy. Biocompatibility is assessed using human fetal osteoblastic cell line hFOB 1.19, revealing low levels of cytotoxicity. The study also examines the potential for biofilm formation, a critical factor in the success of biomedical implantation, where bacterial infection is a major concern. Our findings suggest, as never reported before, that Zr-based BMG-MCs, with their unique composite glassy structure and excellent physicochemical properties, are promising candidates for various biomedical applications, potentially offering improved performance over traditional metallic biomaterials.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":773,"journal":{"name":"Science China Materials","volume":"67 12","pages":"4087 - 4100"},"PeriodicalIF":6.8,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40843-024-3059-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142714364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Meng Luo (, ), Jiajing Guo (, ), Yi Zhu (, ), Jiali Deng (, ), Hongwei Lu (, ), Lei Li (, ), Zhongling Wang (, )
{"title":"A rapid-response smart nanoplatform with dual T1-T2 activation for acidic microenvironment imaging","authors":"Meng Luo \u0000 (, ), Jiajing Guo \u0000 (, ), Yi Zhu \u0000 (, ), Jiali Deng \u0000 (, ), Hongwei Lu \u0000 (, ), Lei Li \u0000 (, ), Zhongling Wang \u0000 (, )","doi":"10.1007/s40843-024-3103-x","DOIUrl":"10.1007/s40843-024-3103-x","url":null,"abstract":"<div><p>Acidity-activatable magnetic resonance imaging (MRI) nanoprobes offer great potential for <i>in vivo</i> cancer imaging by targeting the acidic tumor microenvironment (TME). However, their effectiveness is limited by the delayed response at tumor sites and uncontrollable background noise, compromising imaging accuracy and reliability. Herein, an acidic TME-responsive nanoprobe, SPIO@ZIF-8@Gd (SZG), with dually activatable <i>T</i><sub>1</sub> and <i>T</i><sub>2</sub> MR signals is shown for acidity-selective contrast enhancement in a rapid response manner. It shows decreased <i>T</i><sub>1</sub> and <i>T</i><sub>2</sub> contrast intensity in normal physiological conditions. Once targeting acidic TME, the zeolitic imidazolate framework-8 (ZIF-8) layer undergoes instantaneous decomposition, releasing Gd<sup>3+</sup> (<i>T</i><sub>1</sub>-weighted), and exposing the inner SPIO (<i>T</i><sub>2</sub>-weighted) core, thereby sequentially recovering the signals. Compared to previously reported <i>T</i><sub>1</sub>-<i>T</i><sub>2</sub> nanoprobes, SZG demonstrates noticeable “dual activation” after just 30 min and reaches its peak 4 h after acid incubation. Additionally, it shows an excellent “acidity correlation” between relaxation times and pH values. When the SZG nanoprobe is used combined with “dual-contrast enhanced subtraction (DESI)”, the contrast difference between diseased and normal tissue can be increased by 10 times, which is significantly higher than traditional single-mode <i>T</i><sub>1</sub>/<i>T</i><sub>2</sub> contrast agents. Collectively, these findings demonstrate a rapid imaging strategy of dual-activation MR imaging of the acidic TME and simultaneous background suppression, thus paving the way for precise tumor malignancy differentiation, early tumor detection, and accurate tumor grading.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":773,"journal":{"name":"Science China Materials","volume":"67 12","pages":"4101 - 4110"},"PeriodicalIF":6.8,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142714365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rui Zhang (, ), Lele Chang (, ), Jing Wang (, ), Mengxue Huang (, ), Zhen Cui (, ), Siqi Li (, ), Jingwen Zhao (, ), Chi Yao (, ), Dayong Yang (, )
{"title":"A smart DNA hydrogel for isolation of bacterial outer membrane vesicles and localized cancer immunotherapy","authors":"Rui Zhang \u0000 (, ), Lele Chang \u0000 (, ), Jing Wang \u0000 (, ), Mengxue Huang \u0000 (, ), Zhen Cui \u0000 (, ), Siqi Li \u0000 (, ), Jingwen Zhao \u0000 (, ), Chi Yao \u0000 (, ), Dayong Yang \u0000 (, )","doi":"10.1007/s40843-024-3094-9","DOIUrl":"10.1007/s40843-024-3094-9","url":null,"abstract":"<div><p>Bacterial outer membrane vesicles (OMVs) have shown great potential in cancer immunotherapy. The isolation of OMVs from complex media with high purity and high bioactivity is the prerequisite of therapeutic applications, which remains highly challenging. Herein, we report a smart DNA hydrogel for the efficient isolation of OMVs from bacterial culture medium, which is further applied for localized cancer immunotherapy. The DNA hydrogel is constructed through the cross-linking of two ultralong DNA chains generated via rolling circle amplification (RCA). One chain contains polyvalent GN6 aptamer for the specific capture of OMVs, and the other contains polyvalent programmed death-1 (PD-1) aptamer for the blocking of PD-1 immune checkpoint on the surface of T lymphocytes. The OMVs capsulated by DNA hydrogel maintain high immunostimulatory bioactivity. In the mouse model of melanoma, this OMVs-containing DNA hydrogel shows a remarkable tumor inhibition rate of ∼95%. This smart DNA hydrogel represents a promising biomedical platform for the efficient isolation of bacterial-derived OMVs, and provides a powerful strategy for cancer immunotherapy.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":773,"journal":{"name":"Science China Materials","volume":"67 12","pages":"3872 - 3884"},"PeriodicalIF":6.8,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142714368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lei Jiang (, ), Xu Mei (, ), Tingting Shao (, ), Xinran Yang (, ), Wuyang Long (, ), Meilin Wan (, ), Yijing Fan (, ), Juan Xiong (, ), Xianghui Zhang (, ), Yongming Hu (, ), Haoshuang Gu (, ), Zhao Wang (, )
{"title":"Flexible and self-powered blinking and eyeball movements sensing based on electrospun lead-free piezoelectric nanofibers","authors":"Lei Jiang \u0000 (, ), Xu Mei \u0000 (, ), Tingting Shao \u0000 (, ), Xinran Yang \u0000 (, ), Wuyang Long \u0000 (, ), Meilin Wan \u0000 (, ), Yijing Fan \u0000 (, ), Juan Xiong \u0000 (, ), Xianghui Zhang \u0000 (, ), Yongming Hu \u0000 (, ), Haoshuang Gu \u0000 (, ), Zhao Wang \u0000 (, )","doi":"10.1007/s40843-024-3115-x","DOIUrl":"10.1007/s40843-024-3115-x","url":null,"abstract":"<div><p>Potassium sodium niobate (KNN)-based nanofibers could combine piezoelectric properties with exceptional flexibility and biocompatibility, making them highly promising for flexible sensors in electronic skin and wearable applications. However, the suboptimal piezoelectric performance limits their sensitivity in detecting minute human body motions, such as blinking and eye movements. Herein, Li and Ta-doped KNN nanofibers were fabricated via an electro-spinning process. Co-doping with 6% Li at the A-site and 30% Ta at the B-site induces lattice distortion and an orthorhombic (O) to tetragonal (T) phase transition in the electrospun nanofibers, resulting in a significantly enhanced piezoelectric response, with an average <i>d</i><sub>33</sub>* value reaching 110.7 pm/V. The outstanding piezoelectric response gives rise to a remarkable sensitivity (0.3365 V/(N cm<sup>2</sup>)) in a self-powered flexible pressure sensor based on the doped KNN nanofibers, encapsulated in a polydimethylsiloxane matrix. The sensors, when attached to the temple regions, can detect tiny facial motions induced by blinking, enabling the distinction of abnormal blinking patterns associated with mental fatigue and excessive eye use. Additionally, they support real-time, continuous, and unobtrusive eyeball tracking, highlighting their potential as critical components in human-computer interaction and artificial intelligence applications.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":773,"journal":{"name":"Science China Materials","volume":"67 12","pages":"3948 - 3955"},"PeriodicalIF":6.8,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142714362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abdul Hadi Mehmood (, ), Faiz Ullah (, ), Baoli Dong (, ), Hong Liu (, )
{"title":"Reaction-based small-molecule fluorescent probes for endoplasmic reticulum- and mitochondria-targeted biosensing and bioimaging","authors":"Abdul Hadi Mehmood \u0000 (, ), Faiz Ullah \u0000 (, ), Baoli Dong \u0000 (, ), Hong Liu \u0000 (, )","doi":"10.1007/s40843-024-3097-4","DOIUrl":"10.1007/s40843-024-3097-4","url":null,"abstract":"<div><p>Fluorescent probes have revolutionized modern biological research by making it possible to observe and measure an extensive range of cellular and subcellular processes. Among the subcellular compartments, the endoplasmic reticulum (ER) and mitochondria (MT) remain exciting targets owing to the information they reveal about the cellular processes. Consequently, monitoring pH, polarity, viscosity, metal ions, reactive nitrogen species (RNS), reactive sulfur species (RSS) and reactive oxygen species (ROS) in ER and MT with fluorescent probes is of great importance to understand the cellar and subcellular process. Recent years, redox-sensitive probes and ion probes are designed and synthesized for the detection and quantification of RNS/RSS/ROS (collectively as reactive oxygen/nitrogen/sulfur species, RONSS) and metal ions within ER and MT. These probes provide powerful tools for the researchers to learn more about the complex relationship between cellular redox homeostasis and organelle function, and understand the mechanism of disease processes and pathogenesis for developing potential treatments. In this review, the design principles, synthesis methods, targeting mechanism for ER- and MT-targeted RONSS, and metal-ion-specific fluorescent probes are discussed. The recent progress for the synthesis and applications of ER/MT-targeted probes, and their applications for monitoring cellular and subcellular processes are summarized, and the development trends and application prospects of the probes are analyzed.</p></div>","PeriodicalId":773,"journal":{"name":"Science China Materials","volume":"67 11","pages":"3491 - 3530"},"PeriodicalIF":6.8,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142540688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ultrastrong MXene film bridged by liquid metal","authors":"Zhengyi Fu","doi":"10.1007/s40843-024-3155-5","DOIUrl":"10.1007/s40843-024-3155-5","url":null,"abstract":"","PeriodicalId":773,"journal":{"name":"Science China Materials","volume":"67 12","pages":"4115 - 4116"},"PeriodicalIF":6.8,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142714357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}