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Editorial of Special Column on A New Era of Nanobiomaterial-based Drug Delivery

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Acta Pharmaceutica Sinica B 2022年第9期12卷 3453-3455页

作者： Haijun yu zhiyong Qian Center of Pharmaceutics Shanghai Institute of Materia MedicaChinese Academy of SciencesShanghai 201203China State Key Laboratory of Biotherapy and Cancer Center West China HospitalSichuan UniversityCollaborative Innovation Center of BiotherapyChengdu 610041China

In the present era of nano/biomaterials,nanosized drug delivery systems(NDDS)have been extensively contributed to the advancement of nanomedicine1.Fundamental research is carried out on a diverse range of nano-biomaterials,such as liposomes,dendrimers,micelles and so on.However,nanobiomaterial-based delivery systems yet need to be further optimized to achieve convincing therapeutic performance2.

关键词： biomaterials biomaterial advancement

The Impact of Moist Physics on the Sensitive Area Identification for Heavy Rainfall Associated Weather Systems

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Advances in Atmospheric Sciences 2022年第5期39卷 684-696页

作者： Huizhen yu zhiyong MENG Qingdao Meteorological Bureau Qingdao 266003China Department of Atmospheric and Oceanic Sciences School of PhysicsPeking UniversityBeijing 100871China

The impact of moist physics on the sensitive areas identified by conditional nonlinear optimal perturbation(CNOP)is examined based on four typical heavy rainfall cases in northern China through performing numerical experiments with and without moist physics.Results show that the CNOP with moist physics identifies sensitive areas corresponding to both the lower-(850−700 hPa)and upper-level(300−100 hPa)weather systems,while the CNOP without moist physics fails to capture the sensitive areas at lower levels.The reasons for the CNOP peaking at different levels can be explained in both algorithm and physics aspects.Firstly,the gradient of the cost function with respect to initial perturbations peaks at the upper level without moist physics which results in the upper-level peak of the CNOP,while it peaks at both the upper and lower levels with moist physics which results in both the upper-and lower-level peaks of the CNOP.Secondly,the upper-level sensitive area is associated with high baroclinicity,and these dynamic features can be captured by both CNOPs with and without moist physics.The lower-level sensitive area is associated with moist processes,and this thermodynamic feature can be captured only by the CNOP with moist physics.This result demonstrates the important contribution of the initial error of lower-level systems that are related to water vapor transportation to the forecast error of heavy rainfall associated weather systems,which could be an important reference for heavy rainfall observation targeting.

关键词： moist physics heavy rainfall sensitive area CNOP

Identification of unknown disinfection byproducts in drinking water produced from Taihu Lake source water

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Journal of Environmental Sciences 2022年第3期34卷 1-11页

作者： Jiabao Li Haifeng Zhang Juan Wang Zhiyong Yu Hongyan Li Min Yang Key Laboratory of Drinking Water Science and Technology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China State Key Laboratory of Environmental Aquatic Chemistry Research Center for Eco-Environmental SciencesUniversity of Chinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences Beijing 100049China

Although disinfection byproducts(DBPs) in drinking water have been suggested as a cancer causing factor, the causative compounds have not yet been clarified. In this study, we used liquid chromatography quadrupole-time-of-flight spectrometry(LC-QTOF MS) to identify the unknown disinfection byproducts(DBPs) in drinking water produced from Taihu Lake source water, which is known as a convergence point for the anthropogenic pollutants discharged from intensive industrial activities in the surrounding regions. In total, 91 formulas of DBPs were discovered through LC-QTOF MS nontarget screen, 81 of which have not yet been reported. Among the 91 molecules, 56 only contain bromine, 15 only contain chlorine and 20 DBPs have both bromine and chlorine atoms. Finally, five DBPs including 2,4,6-tribromophenol, 2,6-dibromo-4-chlorophenol, 2,6-dichloro-4-bromophenol, 4-bromo-2,6-di-tert-butylphenol and 3,6-dibromocarbazole were confirmed using standards. The former three compounds mainly formed in the predisinfection step(maximum concentration, 0.2-2.6 μg/L), while the latter two formed in the disinfection step(maximum concentration, 18.2-33.6 ng/L). In addition, 19 possible precursors of the discovered DBPs were detected, with the aromatic compounds being a major group. 2,6-di-tert-butylphenol as the precursor of 4-bromo-2,6-di-tert-butylphenol was confirmed with standard, with a concentration of 20.3 μg/L in raw water. The results of this study show that brominated DBPs which are possibly formed from industrial pollutants are relevant DBP species in drinking water produced form Taihu source water, suggesting protection of Taihu Lake source water is important to control the DBP risks.

关键词： Source water Disinfection byproducts Brominated disinfection byproducts Nontarget analysis Precursors Source water pollution

A framework based on sparse representation model for time series prediction in smart city

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Frontiers of Computer Science 2021年第1期15卷 99-111页

作者： Zhiyong Yu Xiangping ZHENG Fangwan HUANG Wenzhong GUO Lin SUN Zhiwen yu College of Mathematics and Computer Science Fuzhou UniversityFuzhou 350108China Hangzhou Key Laboratory for IoT Technology&Application Zhejiang University City CollegeHangzhou 310015China School of Computer Science Northwestern Polytechnical UniversityXi’an 710072China

Smart city driven by Big Data and Internet of Things(loT)has become a most promising trend of the future.As one important function of smart city,event alert based on time series prediction is faced with the challenge of how to extract and represent discriminative features of sensing knowledge from the massive sequential data generated by IoT devices.In this paper,a framework based on sparse representa-tion model(SRM)for time series prediction is proposed as an efficient approach to tackle this challenge.After dividing the over-complete dictionary into upper and lower parts,the main idea of SRM is to obtain the sparse representation of time series based on the upper part firstly,and then realize the prediction of future values based on the lower part.The choice of different dictionaries has a significant impact on the performance of SRM.This paper focuses on the study of dictionary construction strategy and summarizes eight variants of SRM.Experimental results demonstrate that SRM can deal with different types of time series prediction flexibly and effectively.

关键词： sparse representation smart city time series prediction dictionary construction

Simultaneous quantification of fifty-one odor-causing compounds in drinking water using gas chromatography-triple quadrupole tandem mass spectrometry

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Journal of Environmental Sciences 2019年第5期31卷 100-110页

作者： Chunmiao Wang Jianwei yu Qingyuan Guo yu Zhao Nan Cao Zhiyong Yu Min Yang Key Laboratory of Drinking Water Science and Technology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences University of Chinese Academy of Sciences College of Environmental Science & Engineering Yancheng Institute of Technology Beijing Waterworks Group

A wide range of compounds with various structural features can cause taste and odor(T&O)problems in drinking water. It would be desirable to determine all of these compounds using a simple analytical method. In this paper, a sensitive method combining liquid–liquid extraction(LLE) with gas chromatography-triple quadrupole tandem mass spectrometry(GC–MS/MS)was established to simultaneously analyze 51 odor-causing compounds in drinking water,including organic sulfides, aldehydes, benzenes, phenols, ethers, esters, ketones, nitrogenous heterocyclic compounds, 2-methylisoborneol and geosmin. Three deuterated analogs of target analytes, dimethyl disulfide-d6, benzaldehyde-d6 and o-cresol-3,4,5,6-d4,were used to correct the variations in recovery, and five isotope-labeled internal standards(4-chlorotoluene-d4, 1, 4-dichlorobenzene-d4, naphthalene-d8, acenaphthene-d10, phenanthrene-d10 respectively) were used prior to analysis to correct the variations arising from instrument fluctuations and injection errors. The calibration curves of the target compounds showed good linearity(R2> 0.99, level = 7),and method detection limits(MDLs) below 1/10 of the odor threshold concentrations were achieved for most of the odorants(0.10–20.55 ng/L). The average recoveries of most of the analytes in tap water samples were between 70% and 120%, and the method was reproducible(RSD < 20%, n = 7). Additionally, concentrations of odor-causing compounds in water samples collected from three drinking water treatment plants(DWTPs) were analyzed by this method.According to the results, dimethyl trisulfide, dimethyl disulfide and indole were considered to be the key odorants responsible for the swampy/septic odor. 2-Methylisoborneol and geosmin were detected as the main odor-causing compounds for musty/earthy odor in DWTP B.

关键词： Odor-causing compounds Drinking water GC–MS/MS High-throughput detection

BACKWARD STOCHASTIC VIABILITY AND RELATED PROPERTIES ON Z FOR BSDES WITH APPLICATIONS

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Journal of Systems Science & Complexity 2012年第4期25卷 675-690页

作者： Zhen WU Zhiyong Yu School of Mathematics Shandong University School of Economics Shandong University

这份报纸调查 Z 的一些重要性质，向后的随机的微分方程的鞅要素，它是答案的第二个过程。这些包括向后的随机的生存能力性质，围住的性质和比较定理。解释理论结果，作者使用他们学习一个金融偶然的主张定价问题。复制公事包过程能清... 详细信息

这份报纸调查 Z 的一些重要性质，向后的随机的微分方程的鞅要素，它是答案的第二个过程。这些包括向后的随机的生存能力性质，围住的性质和比较定理。解释理论结果，作者使用他们学习一个金融偶然的主张定价问题。复制公事包过程能清楚地被描绘。

关键词：倒向随机微分方程应用程序属性比较定理有界性鞅

Fixed-Time Cluster Consensus for Multi-Agent Systems with Objective Optimization on Directed Networks

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Journal of Systems Science & Complexity 2023年第6期36卷 2325-2343页

作者： DUAN Suna yu zhiyong JIANG Haijun OUYANG Deqiang College of Mathematics and System Sciences Xinjiang UniversityUrumqi830017China Department of Mathematics The University of Hong KongHong Kong999077China

This paper studies the cluster consensus of multi-agent systems(MASs)with objective optimization on directed and detail balanced networks,in which the global optimization objective function is a linear combination of local objective functions of all agents.Firstly,a directed and detail balanced network is constructed that depends on the weights of the global objective function,and two kinds of novel continuous-time optimization algorithms are proposed based on time-invariant and timevarying objective functions.Secondly,by using fixed-time stability theory and convex optimization theory,some sufficient conditions are obtained to ensure that all agents'states reach cluster consensus within a fixed-time,and asymptotically converge to the optimal solution of the global objective function.Finally,two examples are presented to show the efficacy of the theoretical results.

关键词： Cluster consensus directed and detail balanced network multi-agent systems(MASs) objective optimization

Stability of water yield in watersheds

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Science China Earth Sciences 2024年第2期67卷 483-496页

作者： yu YAN zhiyong LIU Xiaohong CHEN Liyan HUANG Center for Water Resources and Environment School of Civil EngineeringSun Yat-Sen UniversityGuangzhou510275China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai519082China

The hydrological system of a watershed is intricately influenced by both underlying characteristics and climate conditions.Understanding the variability in water yield is essential for effective water resources management and water security in the context of changing environments.In this study,we adopted the Budyko framework and leveraged simulations from the CMIP6 model to investigate the compensation effects of climate and underlying characteristics on watershed water yield.Based on Taylor expansion and Budyko framework,we estimated the sensitivity of watershed water yield to climate and underlying characteristics(the first-and second-order partial derivatives).By combining external watershed characteristics(e.g.,water yield ratios and underlying characteristics)with internal sensitivity coefficients,this study further used vine copula and principal component analysis to quantify the stability of watershed water yield.Our findings show:(1)Water-yield changes related to underlying characteristics could be offset by climate-related water-yield changes across all climate zones,maintaining the water yield ratio steady(i.e.,the compensation effects).(2)However,global watersheds will turn more sensitive to underlying characteristics and less sensitive to climate variation in the future.Both climate-and underlying-related sensitivities increase in watersheds with arid climates.(3)The stability of watershed water yield will gradually diminish in the future.From 1901–1950to 2051–2100,the global stability of 280 watersheds drops from 0.054 to 0.021(i.e.,stability index identified by the joint probability).Particularly,the largest change in stability of water yield reaches-0.347±0.18 in arid regions.In semi-arid,semihumid,and humid regions,the changes are-0.039±0.010,-0.028±0.005,and-0.005±0.002,respectively.The findings provide a reference for the future sustainable water resources development under climate change,highlighting the vulnerability of the water resources in arid and semi-arid watersheds.

关键词： Hydrological system stability Compensation effects on water yield Sensitivities Budyko-Fu decomposition framework Global watersheds

IDDoR:a novel reporter mouse system for simultaneous and quantitative in vivo analysis of both DNA double-strand break repair pathways

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Protein & Cell 2023年第5期14卷 369-375页

作者： yu Chen Zhen Cui Zhixi Chen Ying Jiang zhiyong Mao Shanghai Key Laboratory of Maternal Fetal Medicine Clinical and Translational Research Center of Shanghai First Maternity and Infant HospitalFrontier Science Center for Stem Cell ResearchSchool of Life Sciences and TechnologyTongji UniversityShanghai 200092China Tsingtao Advanced Research Institute Tongji UniversityQingdao 266071China State Key Laboratory of Natural Medicines China Pharmaceutical UniversityNanjing 210009China

Dear Editor,Two distinct pathways,non-homologous end joining(NHEJ)and homologous recombination(HR)repair,have evolved to repair DNA double-strand breaks(DSBs),the most deleterious type of DNA damage.Impaired NHEJ and HR are often associated with a high incidence of tumorigenesis and the early onset of aging.A number of methods and tools have been developed to help elucidate the regulatory mechanisms of the two repair pathways in the past.In vitro biochemical assays employ 32P-labeled broken DNA fragments and cell extracts to evaluate DSB repair capacity.At DSB sites,several DSB repair factors form foci,which can be visualized through immunofluorescence and microscopy.Among them,phosphorylated H2AX at the Ser139 residue is often considered a DSB marker,and its formation and removal at different time points post the induction of DSBs can be used to reflect the repair capacity and genomic instability.In addition,by quantifying the kinetics of the recruitment of specific NHEJ and HR factors such as 53BP1,DNA-PKcs,MRE11,RPA2,and RAD51,one would be able to make judgments on whether NHEJ,HR,or both pathways is/are affected and sometimes at which steps DSB repair pathways are regulated.An alternative approach for kinetic analysis is to quantify the microirradiation-induced recruitment of repair factors.Moreover,comet assays are also utilized to measure DNA damage-induced genomic stability at the single-cell level.However,with these assays,it is still difficult to measure NHEJ and HR efficiency in a relatively less time-consuming and more quantitative manner.

关键词： double repair simultaneous