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Cationic engineered nanodiamonds for efficient antibacterial surface with strong wear resistance

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Nano Research 2024年第3期17卷 939-948页

作者： Fu-Kui Li Wen-Bo Zhao Yong Wang Wen-Tao Huang ya-Lun Ku Hang Liu Rui guo Hui-Hui Yu Kai-Kai Liu Chong-Xin Shan Henan Key Laboratory of Diamond Optoelectronic Materials and Devices Key Laboratory of Materials PhysicsMinistry of Educationand School of Physics&MicroelectronicsZhengzhou UniversityZhengzhou 450052China

The spread of diseases caused by bacterial adhesion and immobilization in public places constitutes a serious threat to public *** of bacteria spread by the construction of an antibacterial surface takes precedence over post-infection ***,we demonstrate an effective antibacterial surface with strong wear resistance by constructing cationic engineered nanodiamonds(C-NDs).The C-NDs with positive surface potentials interact effectively with bacteria through electrostatic interactions,where the C-NDs act on the phospholipid bilayer and lead to bacterial membrane collapse and rupture through hydrogen bonding and residual surface oxygen-containing reactive *** this case,bactericidal rate of 99.99%and bacterial biofilm inhibition rate of more than 80%can be achieved with the C-NDs concentration of 1 mg/*** addition,the C-NDs show outstanding antibacterial stability,retaining over 87%of the antibacterial effect after stimulation by adverse environments of heat,acid,and external ***,an antibacterial surface with high wear resistance obtained by integrating C-NDs with commercial plastics has been *** antibacterial surface with a mass fraction of 1 wt.%C-NDs improved abrasion resistance by 3981 times,with 99%killing of adherent *** work provides an effective strategy for highly efficient antibacterial wear-resistant surface,showing great practical applications in public health environments.

关键词： antibacterial surface cationic engineered nanodiamonds wear-resistant

A hybrid machine learning optimization algorithm for multivariable pore pressure prediction

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Petroleum Science 2024年第1期21卷 535-550页

作者： Song Deng Hao-Yu Pan Hai-Ge Wang Shou-Kun Xu Xiao-Peng yan Chao-Wei Li Ming-guo Peng Hao-Ping Peng Lin Shi Meng Cui fei Zhao School of Petroleum and Natural Gas Engineering Changzhou UniversityChangzhou213164JiangsuChina Tubular Goods Research Institute of CNPC Beijing102249China CNPC Engineering Technology R&D Company Limited Beijing102206China

Pore pressure is essential data in drilling design,and its accurate prediction is necessary to ensure drilling safety and improve drilling *** methods for predicting pore pressure are limited when forming particular structures and *** this paper,a machine learning algorithm and effective stress theorem are used to establish the transformation model between rock physical parameters and pore *** study collects data from three *** 1 had 881 data sets for model training,and Wells 2 and 3 had 538 and 464 data sets for model *** this paper,support vector machine(SVM),random forest(RF),extreme gradient boosting(XGB),and multilayer perceptron(MLP)are selected as the machine learning algorithms for pore pressure *** addition,this paper uses the grey wolf optimization(GWO)algorithm,particle swarm optimization(PSO)algorithm,sparrow search algorithm(SSA),and bat algorithm(BA)to establish a hybrid machine learning optimization algorithm,and proposes an improved grey wolf optimization(IGWO)*** IGWO-MLP model obtained the minimum root mean square error(RMSE)by using the 5-fold cross-validation method for the training *** the pore pressure data in Well 2 and Well 3,the coefficients of determination(R^(2))of SVM,RF,XGB,and MLP are 0.9930 and 0.9446,0.9943 and 0.9472,0.9945 and 0.9488,0.9949 and *** achieves optimal performance on both training and test data,and the MLP model shows a high degree of *** indicates that the IGWO-MLP is an excellent predictor of pore pressure and can be used to predict pore pressure.

关键词： Pore pressure Grey wolf optimization Multilayer perceptron Effective stress Machine learning

Moisture‑Electric–Moisture‑Sensitive Heterostructure Triggered Proton Hopping for Quality‑Enhancing Moist‑Electric Generator

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Nano-Micro Letters 2024年第3期16卷 351-366页

作者： ya’nan yang Jiaqi Wang Zhe Wang Changxiang Shao Yuyang Han Ying Wang Xiaoting Liu Xiaotong Sun Liru Wang Yuanyuan Li Qiang guo Wenpeng Wu Nan Chen Liangti Qu Key Laboratory of Cluster Science Ministry of Education of ChinaKey Laboratory of Photoelectronic/Electrophotonic Conversion MaterialsSchool of Chemistry and Chemical EngineeringBeijing Institute of TechnologyBeijing 100081People’s Republic of China yangtze Delta Region Academy of Beijing Institute of Technology Jiaxing 314019People’s Republic of China Department of Chemistry Key Laboratory of Organic Optoelectronics&Molecular EngineeringMinistry of EducationTsinghua UniversityBeijing 100084People’s Republic of China

Moisture-enabled electricity(ME)is a method of converting the potential energy of water in the external environment into electrical energy through the interaction of functional materials with water molecules and can be directly applied to energy harvesting and signal ***,ME can be unreliable in numerous applications due to its sluggish response to moisture,thus sacrificing the value of fast energy harvesting and highly accurate information ***,by constructing a moisture-electric-moisture-sensitive(ME-MS)heterostructure,we develop an efficient ME generator with ultra-fast electric response to moisture achieved by triggering Grotthuss protons hopping in the sensitized ZnO,which modulates the heterostructure built-in interfacial potential,enables quick response(0.435 s),an unprecedented ultra-fast response rate of 972.4 mV s^(−1),and a durable electrical signal output for 8 h without any *** research provides an efficient way to generate electricity and important insight for a deeper understanding of the mechanisms of moisture-generated carrier migration in ME generator,which has a more comprehensive working scene and can serve as a typical model for human health monitoring and smart medical electronics design.

关键词： Moist-electric generators Grotthuss proton hopping Fast response Durable electrical output Personal health monitoring

Multi-region calcium imaging in freely behaving mice with ultra-compact head-mounted fluorescence microscopes

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National Science Review 2024年第1期11卷 161-173页

作者： Feng Xue fei Li Ke-ming Zhang Lufeng Ding yang Wang Xingtao Zhao Fang Xu Danke Zhang Mingzhai Sun Pak-Ming Lau Qingyuan Zhu Pengcheng Zhou guo-Qiang Bi Department of Precision Machinery and Precision Instruments University of Science and Technology of China Hefei National Laboratory for Physical Sciences at the Microscale University of Science and Technology of China Interdisciplinary Center for Brain Information the Brain Cognition and Brain Disease Institute Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Faculty of Life and Health Sciences Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences School of Life Sciences University of Science and Technology of China Institute of Semiconductors Chinese Academy of Sciences Department of Modern Life Sciences and Biotecnology Xiongan Institute of Innovation Xiongan New Area Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions Suzhou Institute for Advanced Research University of Science and Technology of China Institute of Artiflcial Intelligence Hefei Comprehensive National Science Center

To investigate the circuit-level neural mechanisms of behavior, simultaneous imaging of neuronal activity in multiple cortical and subcortical regions is highly desired. Miniature head-mounted microscopes offer the capability of calcium imaging in freely behaving animals. However, implanting multiple microscopes on a mouse brain remains challenging due to space constraints and the cumbersome weight of the ***, we present TINIscope, a Tightly Integrated Neuronal Imaging microscope optimized for electronic and opto-mechanical design. With its compact and lightweight design of 0.43 g, TINIscope enables unprecedented simultaneous imaging of behavior-relevant activity in up to four brain regions in ***-of-concept experiments with TINIscope recorded over 1000 neurons in four hippocampal subregions and revealed concurrent activity patterns spanning across these regions. Moreover, we explored potential multi-modal experimental designs by integrating additional modules for optogenetics, electrical stimulation or local field potential recordings. Overall, TINIscope represents a timely and indispensable tool for studying the brain-wide interregional coordination that underlies unrestrained behaviors.

关键词： miniature microscope multiple sites calcium imaging multimodal integration hippocampus

Interferon-induced MXB protein restricts vimentin-dependent viral infection

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Acta Pharmaceutica Sinica B 2024年第6期14卷 2520-2536页

作者： Dongrong Yi Ni An Quanjie Li Qian Liu Huihan Shao Rui Zhou Jing Wang Yongxin Zhang Ling Ma fei guo Xiaoyu Li Zhenlong Liu Shan Cen Institute of Medicinal Biotechnology Chinese Academy of Medical ScienceBeijing 100050China Institute of Pathogen Biology Chinese Academy of Medical ScienceBeijing 100730China Lady Davis Institute for Medical Research Jewish General HospitalMontrealQuebec H3T 1E2Canada

Type I interferon(IFN)inhibits a wide spectrum of viruses through stimulating the expression of antiviral *** an IFN-induced protein,myxovirus resistance B(MXB)protein was reported to inhibit multiple highly pathogenic human *** remains to be determined whether MXB employs a common mechanism to restrict different ***,we find that IFN alters the subcellular localization of hundreds of host proteins,and this IFN effect is partially lost upon MXB *** results of our mechanistic study reveal that MXB recognizes vimentin(VIM)and recruits protein kinase B(AKT)to phosphorylate VIM at amino acid S38,which leads to reorganization of the VIM network and impairment of intracellular trafficking of virus protein complexes,hence causing a restriction of virus *** results highlight a new function of MXB in modulating VIM-mediated trafficking,which may lead towards a novel broad-spectrum antiviral strategy to control a large group of viruses that depend on VIM for successful replication.

关键词： MXB Vimentin Broad antiviral strategy Cytoskeleton network AKT

Exosome-encapsulated lncRNA HOTAIRM1 contributes to PM-aggravated COPD airway remodeling by enhancing myofibroblast differentiation

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Science China Life Sciences 2024年

作者： Huaqi guo Luo fei Hengyi Yu yan Li yan Feng Shaowei Wu yan Wang Department of Occupational and Environmental Health Sciences School of Public Health Xi'an Jiao Tong University Health Science Center School of Public Health Shanghai Jiao Tong University School of Medicine The Ninth People's Hospital of Shanghai Jiao Tong University School of Medicine

Emphysema, myofibroblast accumulation and airway remodeling can occur in the lungs due to exposure to atmospheric pollution, especially fine particulate matter (PM2.5), leading to chronic obstructive pulmonary disease (COPD). Specifically, bronchial epithelium-fibroblast communication participates in airway remodeling, which results in COPD. An increasing number of studies are now being conducted on the role of exosome-mediated cell-cell communication in disease pathogenesis. Here, we investigated whether exosomes generated from bronchial epithelial cells could deliver information to normal stromal fibroblasts and provoke cellular responses, resulting in airway obstruction in COPD. We studied the mechanism of exosome-mediated intercellular communication between human bronchial epithelial(HBE) cells and primary lung fibroblasts (pLFs). We found that PM2.5-induced HBE-derived exosomes promoted myofibroblast differentiation in p LFs. Then, the exosomal lncRNA expression profiles derived from PM2.5-treated HBE cells and nontreated HBE cells were investigated using an Agilent Human LncRNA Array. Combining coculture assays and direct exosome treatment, we found that HBE cell-derived exosomal HOTAIRM1 facilitated the myofibroblast differentiation of pLFs. Surprisingly, we discovered that exosomal HOTAIRM1 enhanced p LF proliferation to secrete excessive collagen secretion, leading to airway obstruction by stimulating the TGF-β/SMAD3 signaling ***, PM2.5reduced FEV1/FVC and FEV1 and increased the level of serum exosomal HOTAIRM1 in healthy people; moreover, serum exosomal HOTAIRM1 was associated with PM2.5-related reductions in FEV1/FVC and FVC. These findings show that PM2.5triggers alterations in exosome components and clarify that one of the paracrine mediators of myofibroblast differentiation is bronchial epithelial cellderived HOTAIRM1, which has the potential to be an effective prevention and therapeutic target for PM2.5-induced COPD.

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Association of acute glycemic parameters at admission with cardiovascular mortality in the oldest old with acute myocardial infarction

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Journal of Geriatric Cardiology 2024年第3期21卷 349-358页

作者： Hui-Hui LIU Meng ZHANG Yuan-Lin guo Cheng-Gang ZHU Na-Qiong WU Ying GAO Rui-Xia XU Jie QIAN Ke-fei DOU Jian-Jun LI Cardiometabolic Center State Key Laboratory of Cardiovascular DiseaseFuwai HospitalNational Center for Cardiovascular DiseasesNational Clinical Research Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina

OBJECTIVES Stress-related glycemic indicators,including admission blood glucose(ABG),stress-hyperglycemia ratio(SHR),and glycemic gap(GG),have been associated with worse outcomes after acute myocardial infarction(AMI).However,data regarding their prognostic value in the oldest old with AMI are ***,this study aimed to investigate the association of stress-related glycemic indicators with short-and long-term cardiovascular mortality(CVM)in the oldest old(≥80 years)with *** In this prospective study,a total of 933 consecutive old patients with AMI admitted to FuWai hospital(Beijing,China)were *** admission,ABG,SHR,and GG were assessed and all participants were classified according to their ***-Meier,restricted cubic splines(RCS),and multivariate Cox regression analyses were performed to evaluate the association between these glycemic indicators and CVM within 30 days and long-term *** During an average of 1954 patient-years of follow-up,a total of 250 cardiovascular deaths were ***-Meier analyses showed the lowest CVM in quartile 1 of ABG and in quartile 2 of SHR and *** adjusting for potential covariates,patients in quartile 4 of ABG,SHR,and GG had a respective 1.67-fold(95%CI:1.03-2.69;P=0.036),1.80-fold(95%CI:1.16-2.79;P=0.009),and 1.78-fold(95%CI:1.14-2.79;P=0.011)higher risk of long-term CVM risk compared to those in the reference groups(quartile 1 of ABG and quartile 2 of SHR and GG).Furthermore,RCS suggested a J-shaped relationship of ABG and a Ushaped association of SHR and GG with long-term ***,we observed similar associations of these acute glycemic parameters with 30-day *** Our data first indicated that SHR and GG consistently had a U-shaped association with both 30-day and longterm CVM among the oldest old with AMI,suggesting that they may be useful for risk stratification in this special population.

关键词： admitted infarction shaped

A Deep Learning Method for Computing Eigenvalues of the Fractional Schrödinger Operator

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Journal of Systems Science & Complexity 2024年第2期37卷 391-412页

作者： guo Yixiao MING Pingbing LSEC Institute of Computational Mathematics and Scientific/Engineering ComputingAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100049China

The authors present a novel deep learning method for computing eigenvalues of the fractional Schrödinger *** proposed approach combines a newly developed loss function with an innovative neural network architecture that incorporates prior knowledge of the *** improvements enable the proposed method to handle both high-dimensional problems and problems posed on irregular bounded *** authors successfully compute up to the first 30 eigenvalues for various fractional Schrödinger *** an application,the authors share a conjecture to the fractional order isospectral problem that has not yet been studied.

关键词： Eigenvalue problem deep learning fractional Schrödinger operator isospectral problem

Precise machine learning models for fragment production in projectile fragmentation reactions using Bayesian neural networks

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Chinese Physics C 2022年第7期46卷 118-128页

作者：马春旺魏啸宝陈茜茜彭丹王玉廷普洁程凯旋郭亚飞魏慧玲 Institute of Particle and Nuclear Physics College of Physics Henan Normal UniversityXinxiang 453007China

Machine learning models are constructed to predict fragment production cross sections in projectile fragmentation(PF)reactions using Bayesian neural network(BNN)*** massive learning for BNN models is based on 6393 fragments from 53 measured projectile fragmentation reactions.A direct BNN model and physical guiding BNN via FRACS parametrization(BNN+FRACS)model have been constructed to predict the fragment cross section in projectile fragmentation *** is verified that the BNN and BNN+FRACS models can reproduce a wide range of fragment productions in PF reactions with incident energies from 40 MeV/u to 1 GeV/u,reaction systems with projectile nuclei from^40 Ar to^208 Pb,and various target *** high precision of the BNN and BNN+FRACS models makes them applicable for the low production rate of extremely rare isotopes in future PF reactions with large projectile nucleus asymmetry in the new generation of radioactive nuclear beam factories.

关键词： projectile fragmentation rare isotope machine learning Bayesian neural network drip line cross section radioactive nuclear beam