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Biobased Furfurylated Poplar Wood for Flame-Retardant Modification with Boric Acid and Ammonium Dihydrogen Phosphate

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Journal of Renewable Materials 2024年第8期12卷 1355-1368页

作者： ming ni Lei li Yiqiang Wu Jianzheng Qiao Yan Qing Ping li Yingfeng Zuo College of Materials Science and Engineering Central South University of Forestry and TechnologyChangsha410004China College of Furniture and Art Design Central South University of Forestry and TechnologyChangsha410004China

Furfurylated wood exhibits excellent dimensional stability and corrosion resistance,making it a promising material for constructing buildings,but it is highly ***,flame-retardant furfurylated poplar wood was produced via a two-step process utilizing boric acid(BA)and ammonium dihydrogen phosphate(ADP)as flame-retardant components,and biomass-derived furfuryl alcohol(FA)as a *** acidity of BA and ADP allowed them to catalyze the polymerization of FA,which formed a cross-linked network that immobilized BA and ADP inside the *** addition of BA/ADP substantially delayed the time to ignition from 10 to 385 s and reduced the total heat release and total smoke release by 58.75%and 77.31%,*** of the pyrolysis process showed that the decomposition products of BA and ADP protected the underlying furfurylated wood and diluted combustible *** method significantly improved the fire retardancy and smokeless properties of furfurylated wood,providing promising prospects for its application as an engineering material.

关键词： Poplar wood furfuryl alcohol furfurylated wood flame retardancy boric acid ammonium dihydrogen phosphate

Carbon-coated hybrid crystals with fast electrochemical reaction kinetics for ultra-stable and high-load sodium-ion batteries

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Rare Metals 2024年第2期43卷 647-657页

作者： Chuan Ou ming-Dong Tan Zhen-Bang li Zhao-Jie li Fei Tian Zheng-Ping Qiao Dan-ni Lei Cheng-Xin Wang State Key Laboratory of Optoelectronic Materials and Technologies School of Materials Science and EngineeringSun Yat-Sen UniversityGuangzhou510275China

Owing to its high theoretical capacity and low cost,Sn has attracted significant attention in sodium-ion ***,the slow kinetics of electrochemical reactions and the rapid decay of capacity resulting from drastic changes in the volume of Sn,as well as persistent side reactions between Sn and the organic electrolyte during the(de)sodium process,have limited its *** improve the electrochemical performance of Sn-based materials,the bottom-up method is normally used to prepare carbon-coated ***,its complex preparation processes and harsh conditions make it unsuitable for practical ***,a carbon-coated hybrid crystal composite(Sn/SnO_(x)@C)was prepared using an up-bottom method with commercial Sn/SnO *** effects accelerate the electrochemical kinetics and inhibit the coarsening of Sn *** Sn/SnO_(x)@C composite electrode exhibited capacity retention of 80.7%even after approximately 1000 cycles(360.4 mAh·g^(−1)) at a current density of 1 A·g^(−1).The high-load Na_(3)V_(2)(PO4)3||Sn/SnO_(x)@C full cell presents a capacity retention rate of 91.7%after 150 cycles at the current density of 0.5 A·g^(−1).This work may significantly accelerate the commercialization of the Sn/SnO_(x)@C composite in sodium-ion batteries with high energy density.

关键词： Sodium-ion batteries(SIBs) Sn-based anode Ultraviolet curing Up-bottom method

Genetic Polymorphism in the Second Exon of HLA-DRB1 in Cervical Cancer

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Clinical oncology and cancer researeh 2010年第1期7卷 27-32页

作者： Yan-yun li Gui-fang YANG Yan-ju JIA Jun XING Yan-ni li Wei-ming ZHANG Department of Biochemistry and MolecularBiology Basic Medical College Tianjin Medical University Tianjin 300070 China.

OBJECTIVE The aim of this investigation was to assess the association between single nucleotide polymorphisms （SNPs） in HLA-DRB1 and the risk of developing cervical cancer. Our study focused on the second exon of the HLA-DRB1 alleles, which have most of the SNP sites on HLA-DRB1. METHODS We examined 30 cervical cancer patients and 66 control patients using the sequence-based typing polymerase chain reaction technique （PCR-SBT） to type 55 single nucleotide polymorphisms （SNPs） and haplotypes in the second exon of HLA-DRB1. The Chi-square test and the Bonferroni correction method were utilized for the statistical analysis of the data. An association between the alleles and cervical cancer was examined by the linkage disequilibrium test and the odds ratio （OR）. RESULTS Compared with the control group, among the 55 SNPs we studied in the second exon of HLA-DRB1, 4 showed an evident association with cervical cancer. Rs17880292 （P = 0.033, OR = 0.322） and rs1059586 （P = 0.029, OR = 2.657） had positive significance for the risk of developing cervical cancer, while rs17879702 （P = 0.016, OR = 0.222） and rs17882525 （P = 0.025, OR = 0.128） were negative. The difference in frequency of the 5582A-5592A-5667T haplotype between cervical cancer patients and the controls was significant （P = 0.043, OR = 2.735）. CONCLUSION The rs17880292 G/A genotype and the rs1059586 A/A genotype could be linked to an increased risk of cervical cancer. Rs17879702 and rs17882525 might be haplotype-tag SNPs （htSNPs） or belong to some other haplotypes, which might exert a protective effect against cervical cancer in combination. The 582A-5592A-5667T haplotype was shown to be a marker for susceptibility to cervical carcinogenesis.

关键词： HLA-DRB1 susceptibility SNPs. cervical cancer genetic

Spectrum analysis of interval process model and its application in uncertain vibration analysis

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Science China(Technological Sciences) 2024年第8期67卷 2549-2564页

作者： li JinWu JIANG Chao ni BingYu State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle College of Mechanical and Vehicle EngineeringHunan UniversityChangsha 410082China

In recent years, the authors have extended the traditional interval method into the time dimension to develop a new mathematical tool called the “interval process model” for quantifying time-varying or dynamic uncertainties. This model employs upper and lower bounds instead of precise probability distributions to quantify uncertainty in a parameter at any given time point. It is anticipated to complement the conventional stochastic process model in the coming years owing to its relatively low dependence on experimental samples and ease of understanding for engineers. Building on our previous work, this paper proposes a spectrum analysis method to describe the frequency domain characteristics of an interval process, further strengthening the theoretical foundation of the interval process model and enhancing its applicability for complex engineering problems. In this approach, we first define the zero midpoint function interval process and its auto/cross-power spectral density(PSD) functions. We also deduce the relationship between the auto-PSD function and the auto-covariance function of the stationary zero midpoint function interval process. Next, the auto/cross-PSD function matrices of a general interval process are defined, followed by the introduction of the concepts of PSD function matrix and cross-PSD function matrix for interval process vectors. The spectrum analysis method is then applied to random vibration problems, leading to the creation of a spectrum-analysis-based interval vibration analysis method that determines the PSD function for the system displacement response under stationary interval process excitations. Finally, the effectiveness of the formulated spectrum-analysis-based interval vibration analysis approach is verified through two numerical examples.

关键词： interval process spectrum analysis power spectral density(PSD) time-varying uncertainty uncertain vibration analysis

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A chiral fluorescent probe for molecular recognition of basic amino acids in solutions and cells

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Chinese Chemical Letters 2024年第10期35卷 390-395页

作者： Chuan-Zhi ni Ruo-ming li Fang-Qi Zhang Qu-Ao-Wei li Yuan-Yuan Zhu Jie Zeng Shuang-Xi Gu School of Chemistry and Environmental Engineering School of Chemical Engineering & Pharmacy Pharmaceutical Research Institute Hubei Key Laboratory of Novel Reactor and Green Chemical Technology Wuhan Institute of Technology Nanjing Pusheng Biomedical Co. Ltd.

A novel and readily available binaphthyl-based fluorescent probe（S）-1 was designed and synthesized.（S）-1 can be used to not only chemoselectively discriminate 3 basic amino acids out of common amino acids, but also enantioselectively recognize histidine. Encouragingly, enantioselective imaging of histidine in cells was achieved for the first time by the probe（S）-1. These performances endowed it potential application in the chiral analysis of basic amino acids in asymmetric synthesis and cell imaging for diagnosis of diseases caused by racemization of histidine. Nuclear magnetic resonance（NMR） and mass spectrometry investigations suggested that different reaction extent of（S）-1 with L/D-histidine and different product structures generated the observed enantioselective fluorescent response. The molecular structures and thermodynamic stability of the complexes, formed from（S）-1 + Zn2+and enantiomers of histidine, were calculated by Gaussian 16 based on density functional theory（DFT） to validate the above action mechanism.

关键词： Basic amino acids Cell imaging Chemoselectivity Chiral recognition Enantioselectivity Fluorescent probe

Multi-Fidelity Simulation of Gas Turbine Overall Performance by Directly Coupling High-Fidelity Models of Multiple Rotating Components

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Journal of Thermal Science 2024年第4期33卷 1357-1378页

作者： DENG Weimin XU Yibing ni ming WEI Zuojun GAN Xiaohua REN Guangming Department of Mechanics and Aerospace Engineering Southern University of Science and TechnologyShenzhen518055China School of Aerospace Engineering Tsinghua UniversityBeijing100084China Shenzhen Key Laboratory of Wide-Speed-Range and Variable-Density Continuous Wind Tunnel Shenzhen Science and Technology Innovation CommitteeShenzhen518000China

Multi-fidelity simulations incorporate computational fluid dynamics(CFD) models into a thermodynamic model,enabling the simulation of the overall performance of an entire gas turbine with high-fidelity *** iterative coupled methods rely on characteristic maps,while fully coupled methods directly incorporate high-fidelity ***,fully coupled methods face challenges in simulating rotating components,including weak convergence and complex *** address these challenges,a fully coupled method with logarithmic transformations was developed to directly integrate high-fidelity CFD models of multiple rotating *** developed fully coupled method was then applied to evaluate the overall performance of a KJ66 micro gas turbine across various off-design *** developed fully coupled method was also compared with the traditional iterative coupled ***,experimental data from ground tests were conducted to verify its *** convergence history indicated that the proposed fully coupled method exhibited stable convergence,even under far-off-design *** experimental verification demonstrated that the multi-fidelity simulation with the fully coupled method achieved high accuracy in off-design *** analysis revealed inherent differences in the coupling methods of CFD models between the developed fully coupled and traditional iterative coupled *** inherent differences provide valuable insights for reducing errors between the component-level model and CFD models in different coupling *** developed fully coupled method,introducing logarithmic transformations,offers more realistic support for the detailed and optimal design of high-fidelity rotating components within the overall performance platform of gas turbines.

关键词： multi-fidelity fully coupled method iterative coupled method gas turbine component-level model

Recent advances of high performance SiO_(x)(0

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Materials Reports(Energy) 2024年第2期4卷 23-33页

作者： Wenwen Deng Ying Zhou Naiqi Hu Shaocong ni Weihang Zhang Chang ming li School of Material Science and Engineering Suzhou University of Science and TechnologySuzhou215009PR China Key Laboratory of Advanced Energy Materials Chemistry(Ministry of Education) Nankai UniversityTianjin300071PR China State Key Laboratory of Coordination Chemistry MOE Key Laboratory of Mesoscopic ChemistryMOE Key Laboratory of High Performance Polymer Materials and TechnologyJiangsu Key Laboratory of Advanced Organic MaterialsSchool of Chemistry&Chemical EngineeringNanjing UniversityNanjing210023PR China

SiOx is attractive as an anode material for lithium-ion batteries(liBs)due to its high capacity,low cost,and relatively higher cyclic stability than Si ***,the intrinsic low electronic conductivity,low initial coulombic efficiency(ICE),and volume expansion during cycles hinder its *** this review,we summarize advances in high performance SiOx anodes,mainly from two aspects:active material and *** future perspective is investigated at the end of this *** review provides strategical guidance for developing high performance SiOx anodes.

关键词： SiOx Anode High-performance Active material Binders

A deep learning model enabled multi-event recognition for distributed optical fiber sensing

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Science China(Information Sciences) 2024年第3期67卷 291-307页

作者： Yujiao li Xiaomin CAO Wenhao ni Kuanglu YU Institute of Information Science School of Computer and Information TechnologyBeijing Jiaotong University Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing Jiaotong University

Fiber optic sensors that utilize backscattered light offer distributed real-time measurements and have been seen tremendous improvements in sensing distance and spatial resolution over the last ***, these improvements in sensor capabilities lead to a significant increase in the amount of data that needs to be processed. Traditional processing schemes are no longer adequate, so the development of novel signal processing methods is critical. Phase-sensitive optical time domain reflectometry(Φ-OTDR) is now applied in various applications for multi-event recognition, and it would usually be difficult, sometimes even unrealistic to label all the acquired samples due to its real-time and seamless monitoring nature. To fully take advantage of the information contained within the large number of unlabeled samples, which were formerly not utilized and hence wasted, we propose a semi-supervised model to boost the event classification performance of Φ-OTDR. The model extracts respectively the temporal features and the spatial bidirectional features together with a dual attention mechanism. Its classification accuracy has been improved up to 96.9%with only 1230 labeled samples. In addition, our model shows significant advantages when the number of labeled samples is reduced. Importantly, our method improves the accuracy of multi-event classification without any modification to the optical setup.

关键词： $\Phi$-OTDR event recognition semi-supervised learning mean teacher MT-ACNN-SA-BiLSTM

Optimal Timing of Business Conversion for Solvency Improvement

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Acta Mathematicae Applicatae Sinica 2024年第3期40卷 744-757页

作者： Peng li ming ZHOU School of Finance Nanjing University of Finance and EconomicsNanjing 210023China Center for Applied Statistics and School of Statistics Renmin University of ChinaBeijing 100872China

In this paper,we study the optimal timing to convert the risk of business for an insurance company in order to improve its *** cash flow of company evolves according to a jump-diffusion *** conversion option offers the company an opportunity to transfer the jump risk business *** exchange for this option,the company needs to pay both fixed and proportional transaction *** proportional cost can also be seen as the profit loading of the jump risk *** formulated this problem as an optimal stopping *** solving this stopping problem,we find that the optimal timing of business conversion mainly depends on the profit loading of the jump risk business.A larger profit loading would make the conversion option *** fixed cost,however,only delays the optimal timing of business *** the end,numerical results are provided to illustrate the impacts of transaction costs and environmental parameters to the optimal strategies.

关键词： optimal stopping jump-diffusion process conversion option