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Engineering self-catabolic DNAzyme nanospheres for synergistic anticancer therapy

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Science China Chemistry 2024年第7期67卷 2412-2422页

作者： yu Chen yu Guo Jiaoli wang Ruiting Liu Xiaohai Yang Kemin wang Ying Pu Hui Shi Jin Huang Key Laboratory of Chemo/Biosensing and Chemometrics College of Chemistry and Chemical EngineeringKey Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan ProvinceHunan UniversityChangsha 410082China National Clinical Research Center for Geriatric Disorders Department of GeriatricsXiangya HospitalCentral South UniversityChangsha 410008China

DNAzyme-based gene therapy faces some challenges including cell penetration,activity limitation,and co-delivery ***-assembled DNA nanomedicine has attracted widespread attention due to its many *** is urgent to develop a universal DNA degradation strategy for precise programmable drug ***,we reported a self-catabolic DNAzyme nanospheres(SCNS),which could simultaneously achieve cell penetration,activity enhancement,and co-delivery *** SCNS were assembled through Y-DNA stepwise hybridization with each other,which were then loaded with aptamer(Apt),doxorubicin(Dox),and zinc oxide nanoparticles(ZnO NPs).The acid-triggered dissociation of ZnO NPs leads to the generation of Zn^(2+)ions cofactors for immediately self-catabolic DNAzyme *** the disassembly of the SCNS,three types of anticancer treatments would be activated,which include Zn^(2+)involved reactive oxygen species(ROS),Dox-induced chemotherapy,and DNAzyme-based gene *** experimental results show that the nanoplatform(Apt-SCNS-Dox-ZnO)has a good tumor-killing effect and minimal side *** a smart self-driven drug delivery nanoplatform,it is anticipated to displace extraordinary potential in biomedicine and bioengineering.

关键词： DNAzyme nanosphere ZnO NPs ROS Dox anticancer therapy

A double-network porous hydrogel based on high internal phase emulsions as a vehicle for potassium sucrose octasulfate delivery accelerates diabetic wound healing

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Regenerative Biomaterials 2024年第4期3卷 82-97页

作者： Zhiwei wang Lingshun Sun Weixing wang Zheng wang Ge Shi Honglian Dai Aixi yu Department of Orthopedics Trauma and Microsurgery Zhongnan Hospital of Wuhan UniversityWuhan 430070China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Biomedical Materials and Engineering Research Center of Hubei ProvinceWuhan University of TechnologyWuhan 430070China

Diabetic wounds are a difficult medical *** secretion of matrix metalloproteinase-9(MMP-9)in diabetic wounds further degrades the extracellular matrix and growth factors and causes severe vascular damage,which seriously hinders diabetic wound *** solve these issues,a double-network porous hydrogel composed of poly(methyl methacrylate-co-acrylamide)(p(MMA-co-AM))and polyvinyl alcohol(PVA)was constructed by the high internal phase emulsion(HIPE)technique for the delivery of potassium sucrose octasulfate(PSO),a drug that can inhibit MMPs,increase angiogenesis and improve *** hydrogel possessed a typical polyHIPE hierarchical microstructure with interconnected porous morphologies,high porosity,high specific surface area,excellent mechanical properties and suitable swelling ***,the p(MMA-co-AM)/PVA@PSO hydrogel showed high drug-loading performance and effective PSO *** addition,both in vitro and in vivo studies showed that the p(MMA-co-AM)/PVA@PSO hydrogel had good biocompatibility and significantly accelerated diabetic wound healing by inhibiting excessive MMP-9 in diabetic wounds,increasing growth factor secretion,improving vascularization,increasing collagen deposition and promoting ***,this study provided a reliable therapeutic strategy for diabetic wound healing,some theoretical basis and new insights for the rational design and preparation of wound hydrogel dressings with high porosity,high drug-loading performance and excellent mechanical properties.

关键词： high internal phase emulsions double-network porous hydrogel drug delivery diabetic wound healing sucrose octasulfate

Uncertainty-Aware Physical Simulation of Neural Radiance Fields for Fluids

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Computer Modeling in Engineering & Sciences 2024年第7期140卷 1143-1163页

作者： Haojie lian Jiaqi wang Leilei Chen Shengze Li Ruochen Cao Qingyuan Hu Peiyun Zhao Key Laboratory of In-Situ Property-Improving Mining of Ministry of Education Taiyuan University of TechnologyTaiyuan030024China Henan International Joint Laboratory of Structural Mechanics and Computational Simulation College of Architectural and Civil EngineeringHuanghuai UniversityZhumadian463000China National Innovation Institute of Defense Technology Academy of Military ScienceBeijing100091China School of Software Taiyuan University of TechnologyJinzhong030600China School of Science Jiangnan UniversityWuxi214122China

This paper presents a novel framework aimed at quantifying uncertainties associated with the 3D reconstruction of smoke *** approach reconstructs color and density fields from 2D images using Neural Radiance Field(NeRF)and improves image quality using frequency *** NeRF model is obtained via joint training ofmultiple artificial neural networks,whereby the expectation and standard deviation of density fields and RGB values can be evaluated for each *** addition,customized physics-informed neural network(PINN)with residual blocks and two-layer activation functions are utilized to input the density fields of the NeRF into Navier-Stokes equations and convection-diffusion equations to reconstruct the velocity *** velocity uncertainties are also evaluated through ensemble *** effectiveness of the proposed algorithm is demonstrated through numerical *** presentmethod is an important step towards downstream tasks such as reliability analysis and robust optimization in engineering design.

关键词： Uncertainty quantification neural radiance field physics-informed neural network frequency regularization twolayer activation function ensemble learning

MSADCN:Multi-Scale Attentional Densely Connected Network for Automated Bone Age Assessment

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Computers, Materials & Continua 2024年第2期78卷 2225-2243页

作者： Yanjun yu Lei yu Huiqi wang Haodong Zheng Yi Deng College of Computer and Information Science Chongqing Normal UniversityChongqing401331China College of Mathematics and Statistics Chongqing UniversityChongqing401331China

Bone age assessment(BAA)helps doctors determine how a child’s bones grow and develop in clinical *** BAA methods rely on clinician expertise,leading to time-consuming predictions and inaccurate *** deep learning-based BAA methods feed the extracted critical points of images into the network by providing additional *** operation is costly and *** address these problems,we propose a multi-scale attentional densely connected network(MSADCN)in this *** constructs a multi-scale dense connectivity mechanism,which can avoid overfitting,obtain the local features effectively and prevent gradient vanishing even in limited training ***,MSADCN designs multi-scale structures in the densely connected network to extract fine-grained features at different ***,coordinate attention is embedded to focus on critical features and automatically locate the regions of interest(ROI)without additional *** addition,to improve the model’s generalization,transfer learning is applied to train the proposed MSADCN on the public dataset IMDB-WIKI,and the obtained pre-trained weights are loaded onto the Radiological Society of North America(RSNA)***,label distribution learning(LDL)and expectation regression techniques are introduced into our model to exploit the correlation between hand bone images of different ages,which can obtain stable age *** experiments confirm that our model can converge more efficiently and obtain a mean absolute error(MAE)of 4.64 months,outperforming some state-of-the-art BAA methods.

关键词： Bone age assessment deep learning attentional densely connected network muti-scale

Towards robustness and generalization of point cloud representation:A geometry coding method and a large-scale object-level dataset

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Computational Visual Media 2024年第1期10卷 27-43页

作者： Mingye Xu Zhipeng Zhou Yali wang yu Qiao Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen518000China University of Chinese Academy of Sciences Beijing065001China Shanghai AI Laboratory Shanghai200001China SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for SocietyShenzhen518000China Alibaba DAMO Academy Hangzhou242332China

Robustness and generalization are two challenging problems for learning point cloud *** tackle these problems,we first design a novel geometry coding model,which can effectively use an invariant eigengraph to group points with similar geometric information,even when such points are far from each *** also introduce a large-scale point cloud dataset,*** consists of 184 categories and 51,915 synthetic objects,which brings new challenges for point cloud classification,and provides a new benchmark to assess point cloud cross-domain ***,we perform extensive experiments on point cloud classification,using ModelNet40,ScanObjectNN,and our PCNet184,and segmentation,using ShapeNetPart and *** method achieves comparable performance to state-of-the-art methods on these datasets,for both supervised and unsupervised *** and our dataset are available at https://***/MingyeXu/PCNet184.

关键词： geometry coding self-supervised learning point cloud classification segmentation 3D analysis

Gelation mechanisms of gel polymer electrolytes for zinc-based batteries

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Chinese Chemical Letters 2024年第5期35卷 97-116页

作者： Mengjun Sun Zhi wang Jvhui Jiang Xiaobing wang Chuang yu Collaborative Innovation Center of Henan Province for Green Manufacturing of Fine Chemicals Key Laboratory of Green Chemical Media and ReactionsMinistry of EducationSchool of Chemistry and Chemical EngineeringHenan Normal UniversityXinxiang 453007China Key Laboratory for Yellow River and Huaihe River Water Environment and Pollution Control Ministry of EducationHenan Key Laboratory for Environmental Pollution ControlSchool of EnvironmentHenan Normal UniversityXinxiang 453007China State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhan 430074China

Zinc-based batteries(ZBs)have been deemed as a potential substitute for lithium-ion batteries due to its unique advantages of abundant resources,low cost and acceptable energy *** great progress in designing electrode materials has been made,the development of high-performance ZBs still remain challenges,such as the dendrite growth of zinc anode,hydrogen evolution reaction,limited electrochemical stability window,water evaporation and liquid *** polymer electrolytes(GPEs),including hydrous GPEs with low content of active water and anhydrous GPEs without the presence of water,are proposed to avoid these ***,employing GPEs is conductive to fabricate flexible devices owing to the good mechanical *** date,most of researches focus on discovering new GPEs and exploring its application on flexible or wearable *** reviews also have outlined the polymer matrixes and advances of GPEs in various battery *** this,herein,we seek to summarize the gelation mechanisms of GPEs,involving physical gel of polymer,chemical crosslinking of polymer and chemical polymerization of ***,the preparation methods are also *** addition,not only the features and central conundrum of GPEs are analyzed but also the corresponding strategies are discussed,contributing to design GPEs with ideal properties for high-performance ZBs.

关键词： Gelation mechanisms Gel polymer electrolytes Zinc-based batteries Gelation methods

Genetic and molecular mechanisms of reproductive isolation in the utilization of heterosis for breeding hybrid rice

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Journal of Genetics and Genomics 2024年第6期51卷 583-593页

作者： Chaolong wang Xiaowen yu Jian wang Zhigang Zhao Jianmin Wan State Key Laboratory for Crop Genetics&Germplasm Enhancement and Utlization Nanjing Agricultural UniversityZhongshan Biological Breeding LaboratoryNanjingJiangsu210095China State Key Laboratory of Crop Gene Resources and Breeding Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijing 100081China

Heterosis,also known as hybrid vigor,is commonly observed in rice *** hybridization of rice species or subspecies exhibits robust hybrid vigor,however,the direct harnessing of this vigor is hindered by reproductive ***,we review recent advances in the understanding of the molecular mechanisms governing reproductive isolation in inter-subspecific and inter-specific *** review encompasses the genetic model of reproductive isolation within and among Oryza sativa species,emphasizing the essential role of mitochondria in this ***,we delve into the molecular intricacies governing the interaction between mitochondria and autophagosomes,elucidating their significant contribution to reproductive ***,our exploration extends to comprehending the evolutionary dynamics of reproductive isolation and speciation in *** on these advances,we offer a forward-looking perspective on how to overcome the challenges of reproductive isolation and facilitate the utilization of heterosis in future hybrid rice breeding endeavors.

关键词： Hybrid vigor Reproductive isolation Hybrid ricebreeding

An attention-based teacher-student model for multivariate short-term landslide displacement prediction incorporating weather forecast data

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Journal of Mountain Science 2024年第8期21卷 2739-2753页

作者： CHEN Jun HU wang ZHANG yu QIU Hongzhi wang Renchao Sichuan Artificial Intelligence Research Institute Yibin 644000China School of Computer Science and Engineering University of Electronic Science and Technology of ChinaChengdu 611731China School of Architecture and Civil Engineering Chengdu UniversityChengdu 610106China

Predicting the displacement of landslide is of utmost practical importance as the landslide can pose serious threats to both human life and ***,traditional methods have the limitation of random selection in sliding window selection and seldom incorporate weather forecast data for displacement prediction,while a single structural model cannot handle input sequences of different lengths at the same *** order to solve these limitations,in this study,a new approach is proposed that utilizes weather forecast data and incorporates the maximum information coefficient(MIC),long short-term memory network(LSTM),and attention mechanism to establish a teacher-student coupling model with parallel structure for short-term landslide displacement *** MIC,a suitable input sequence length is selected for the LSTM *** investigate the influence of rainfall on landslides during different seasons,a parallel teacher-student coupling model is developed that is able to learn sequential information from various time series of different *** teacher model learns sequence information from rainfall intensity time series while incorporating reliable short-term weather forecast data from platforms such as China Meteorological Administration(CMA)and Reliable Prognosis(https://***)to improve the model’s expression capability,and the student model learns sequence information from other time *** attention module is then designed to integrate different sequence information to derive a context vector,representing seasonal temporal attention ***,the predicted displacement is obtained through a linear *** proposed method demonstrates superior prediction accuracies,surpassing those of the support vector machine(SVM),LSTM,recurrent neural network(RNN),temporal convolutional network(TCN),and LSTM-Attention *** achieves a mean absolute error(MAE)of 0.072 mm,root mean square error(RMSE)of 0.096 mm,and pearson correlation coefficients(PC

关键词： Landslide prediction MIC LSTM Attention mechanism Teacher Student model Prediction stability and interpretability

Donor-acceptor covalent organic frameworks-confined ultrafine bimetallic Pt-based nanoclusters for enhanced photocatalytic H_(2)generation

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Nano Research 2024年第7期17卷 5835-5844页

作者： yu Liu Yawen Shi Hua wang Shengbo Zhang Collaborative Innovation Center of Chemical Science and Engineering(Tianjin) Key Laboratory for Green Chemical Technology of the Ministry of EducationSchool of Chemical Engineering and TechnologyTianjin UniversityTianjin 300350China School of Environmental Science and Engineering Tianjin Key Laboratory of Biomass/Wastes UtilizationTianjin UniversityTianjin 300350China

Photocatalytic hydrogen generation from hydrogen storage media is an effective and promising approach for the green hydrogen industry as well as for achieving carbon neutrality ***,the lower photocatalytic efficiency due to the limited light trapping capacity,low electron transfer rate,and severe aggregation of nanoparticles caused by high surface energy seriously restricts their practical ***,we constructed a series of donor–acceptor(D–A)type covalent organic frameworks to confine ultrafine bimetallic Pt-based nanoclusters for photocatalytic hydrogen generation from ammonia borane(AB)*** visible light irradiation at 20℃,PtCo_(2)@covalent organic framework(COF)showed the highest photocatalytic activity with a turnover frequency(TOF)of 486 min−*** and density functional theory(DFT)calculations reveal that the high catalytic activity is mainly attributed to the strong electronic interactions between D–A type COF and ultrafine PtCo_(2)***,the D–A type COF can significantly enhance the light-trapping ability by fine-tuning the electron-acceptor type in the framework,and accelerate the photogenerated electron transfer from D–A type COF to PtCo_(2)nanocluster,which promotes the adsorption and activation of H_(2)O and AB molecules and accelerates hydrogen ***,PtCo_(2)@COF also exhibited ultra-high durability due to the significantly enhanced resistance to nanocluster aggregation caused by the nanopore confinement effect of D–A type *** believe that this work will provide a theoretical guide for the rational design of efficient D–A COFbased catalysts for photocatalysis.

关键词： light trapping electron transfer donor-acceptor covalent organic frameworks(D-A COFs) bimetallic nanoclusters photocatalysis