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| 1 | Contrasting trends of PM2.5 and surface-ozone concentrations in China from 2013 to 2017显示文摘Although much attention has been paid to investigating and controlling air pollution in China,the trends of air-pollutant concentrations on a national scale have remained unclear.Here,we quantitatively investigated the variation of air pollutants in China using long-term comprehensive data sets from 2013 to 2017,during which Chinese government made major efforts to reduce anthropogenic emission in polluted regions.Our results show a significant decreasing trend in the PM2.5 concentration in heavily polluted regions of eastern China,with an annual decrease of〜7%compared with measurements in 2013.The measured decreased concentrations of SO2>NO2 and CO(a proxy for anthropogenic volatile organic compounds)could explain a large fraction of the decreased PM2.5 concentrations in different regions.As a consequence;the heavily polluted days decreased significantly in corresponding regions.Concentrations of organic aerosol;nitrate;sulfate,ammonium and chloride measured in urban Beijing revealed a remarkable reduction from 2013 to 2017;connecting the decreases in aerosol precursors with corresponding chemical components closely.However;surface-ozone concentrations showed increasing trends in most urban stations from 2013 to 2017;which indicates stronger photochemical pollution.The boundary-layer height in capital c让ies of eastern China showed no significant trends over the Beijing-Tianjin-Hebei,Yangtze River Delta and Pearl River Delta regions from 2013 to 2017;which confirmed the reduction in anthropogenic emissions.Our results demonstrated that the Chinese government was successful in the reduction of particulate matter in urban areas from 2013 to 2017,although the ozone concentration has increased significantly;suggesting a more complex mechanism of improving Chinese air quality in the future. | Yonghong Wang Wenkang Gao Shuai Wang Tao Song Zhengyu Gong Dongsheng Ji Lili Wang Zirui Liu Guiqian Tang Yanfeng Huo Shili Tian Jiayun Li Mingge Li Yuan Yang Biwu Chu Tuukka Petaja Veli-Matti Kerminen Hong He Jiming Hao Markku Kulmala Yuesi Wang Yuanhang Zhang | 2020 | National Science Review2020，7，8： | 51 |
| 2 | Characterization and Apparent Kinetics of Polymerization of 1-Decene Catalyzed by Boron Trifluoride/Alcohol System显示文摘Poly-α-olefin(PAO) synthetic oil is the base oil of high-quality lubricants, and has a huge market potential.We illustrate PAO synthesis by catalytic polymerization of 1-decene with a boron trifluoride(BF_3)/alcohol system. Gas chromatography–mass spectrometry, proton nuclear magnetic resonance and ^(13) C nuclear magnetic resonance analysis confirmed dimer, trimer and tetramer structures of PAO. Each component contained branched chains with a 1,2 insertion of a head-to-tail link; a 2,1 insertion of a tail-to-tail link and a methyl-containing linked structure. At a low conversion rate, the reaction rate was related directly with the reaction temperature and the catalyst/1-decene concentration. An apparent kinetic equation for PAO formation was determined during 1-decene polymerization. | Wang Sihan Wang Libo Liu Tong Ma Lili Huo Hongliang Wang Jian | 2017 | China Petroleum Processing & Petrochemical Technology2017，19，3： | 7 |
| 3 | Recent advances in developing small-molecule inhibitors against SARS-CoV-2显示文摘The COVID-19 pandemic caused by the novel SARS-CoV-2 virus has caused havoc across the entire world.Even though several COVID-19 vaccines are currently in distribution worldwide,with others in the pipeline,treatment modalities lag behind.Accordingly,researchers have been working hard to understand the nature of the virus,its mutant strains,and the pathogenesis of the disease in order to uncover possible drug targets and effective therapeutic agents.As the research continues,we now know the genome structure,epidemiological and clinical features,and pathogenic mechanism of SARS-CoV-2.Here,we summarized the potential therapeutic targets involved in the life cycle of the virus.On the basis of these targets,small-molecule prophylactic and therapeutic agents have been or are being developed for prevention and treatment of SARS-CoV-2 infection. | Rong Xiang Zhengsen Yu Yang Wang Lili Wang Shanshan Huo Yanbai Li Ruiying Liang Qinghong Hao Tianlei Ying Yaning Gao Fei Yu Shibo Jiang | 2022 | Acta Pharmaceutica Sinica B2022，12，4： | 3 |
| 4 | Nickel Complexes Based on Salicylaldehyde-imine Ligands: Synthesis, Characterization and Catalytic Oligomerization of Ethylene显示文摘 | CHEN Liduo HUO Hongliang WANG Libo MA Lili JIANG Yan XIE Junyi WANG Jun | 2018 | Chemical Research in Chinese Universities2018，34，6： | 3 |
| 5 | Effect of Wetland Reclamation on Soil Organic Carbon Stability in Peat Mire Soil Around Xingkai Lake in Northeast China显示文摘Content and density of soil organic carbon(SOC) and labile and stable SOC fractions in peat mire soil in wetland, soybean field and rice paddy field reclaimed from the wetland around Xingkai Lake in Northeast China were studied. Studies were designed to investigate the impact of reclamation of wetland for soybean and rice farming on stability of SOC. After reclamation, SOC content and density in the top 0–30 cm soil layer decreased, and SOC content and density in soybean field were higher than that in paddy field. Content and density of labile SOC fractions also decreased, and density of labile SOC fractions and their ratios with SOC in soybean field were lower than that observed in paddy field. In the 0–30 cm soil layer, densities of labile SOC fractions, namely, dissolved organic carbon(DOC), microbial biomass carbon(MBC), readily oxidized carbon(ROC) and readily mineralized carbon(RMC), in both soybean field and paddy field were all found to be lower than those in wetland by 34.00% and 13.83%, 51.74% and 35.13%, 62.24% and 59.00%, and 64.24% and 17.86%, respectively. After reclamation, SOC density of micro-aggregates(< 0.25 mm) as a stable SOC fraction and its ratio with SOC in 0–5, 5–10, 10–20 and 20–30 cm soil layers increased. SOC density of micro-aggregates in the 0–30 cm soil layer in soybean field was 50.83% higher than that in paddy field. Due to reclamation, SOC density and labile SOC fraction density decreased, but after reclamation, most SOC was stored in a more complex and stable form. Soybean farming is more friendly for sustainable SOC residence in the soils than rice farming. | HUO Lili ZOU Yuanchun LYU Xianguo ZHANG Zhongsheng WANG Xuehong AN Yi | 2018 | Chinese Geographical Science2018，28，2： | 2 |
| 6 | Designing specific bacterial 16S primers to sequence and quantitate plant endo-bacteriome显示文摘Plant endophytic bacteria colonize the internal tissues of plants and interact with plants closely.The past two decades have witnessed the increasing application of next-generation 16S r RNA gene sequencing in the investigation of bacterial communities.However,deciphering plant endo-bacterial communities by this method is difficult because of the co-amplification of massive plant organellar DNAs with bacterial 16S.Here,we designed polymerase chain reaction(PCR) primer sets,including799F/1107R,322F/796R,and 322F-Dr/796Rs(primer pair 322F/796R with a penultimate-base substitution in 322F),that can specifically amplify bacterial 16S from plant total DNAs.We computationally and experimentally evaluated the specificity,coverage,and accuracy of the newly designed primer sets.Both 799F/1107R and 322F-Dr/796Rs produced plant DNA-free 16S amplicon libraries or reduced plant DNA contamination to lower than 5% for the plant materials with extremely-low-abundance bacterial communities.The primer set 322F-A/796R was used through absolute quantitative PCR to quantitate the population size of rice leaf or root endo-bacteriome,which revealed 10^(6)–10^(7) and 10^(9)–10^(10) bacteria per gram fresh weight,respectively.These 16S primer sets and amplification methods enable the simple and inexpensive next-generation sequencing and quantification of plant endo-bacteriome,which will significantly advance studies on the plant-related microbiome. | Liying Chen Mengting Zhang Da Liu Hongbo Sun Jianxiang Wu Yan Huo Xiaoying Chen Rongxiang Fang Lili Zhang | 2022 | Science China(Life Sciences)2022，65，5： | 2 |
| 7 | Screening,identification and antagonistic effect of antagonistic bacteria JTFM1001 against aflatoxin contamination in corn显示文摘Aflatoxin is a strong carcinogenic and toxic fungal toxin produced by Aspergillus flavus and other Aspergillus species,and can seriously threaten the health of consumers,thus becoming a global concern.Corn,as an important oil and economic crop,is highly susceptible contaminated by aflatoxin.In this study,antagonistic bacteria with strong inhibitory effect on aflatoxin were screened to provide support for the treatment aflatoxin contamination control in corn.Ten strains which have strong antagonistic effects against A.flavus were isolated from healthy corn from different corn producing areas in China.Among them,the antagonistic bacteria JTFM1001 through corn kernels in vivo and field experiment,the inhibition effect of aflatoxin contamination reached above 70%and 55%,respectively.And the strain was identified as Bacillus subtilis based on its morphological,physiological and biochemical characteristics and phylogenetic analysis of 16S rDNA.In addition,our data showed that it can colonize in the rhizosphere and survive for a long time,forming the dominant flora,with broad application prospect.Finally,we were surprised to find that the antibacterial metabolites secreted by the antagonistic bacteria was one of the mechanisms of its inhibition of A.flavus and aflatoxin.This will provide us with new ideas and perspectives on the effective prevention and control of aflatoxin contamination in corn and corn oil. | Jing Zhang Yu Wang Zhaolin Du Dasong Lin Lili Huo Li Qin Wei Wang Liwen Qiang Yanpo Yao Yi An | 2021 | Oil Crop Science2021，6，1： | 2 |
| 8 | Deep white matter hyperintensity is spatially correlated to MRI-visible perivascular spaces in cerebral small vessel disease on 7 Tesla MRI显示文摘Background The association between perivascular space(PVS)and white matter hyperintensity(WMH)has been unclear.Normal-appearing white matter(NAWM)around WMH is also found correlated with the development of focal WMH.This study aims to investigate the topological connections among PVS,deep WMH(dWMH)and NAWM around WMH using 7 Tesla(7T)MRI.Methods Thirty-two patients with non-confluent WMHs and 16 subjects without WMHs were recruited from our department and clinic.We compared the PVS burden between patients with and without WMHs using a 5-point scale.Then,the dilatation and the number of PVS within a radius of 1 cm around each dWMH were compared with those of a reference site(without WMH)in the contralateral hemisphere.In this study,we define NAWM as an area within the radius of 1 cm around each dWMH.Furthermore,we assessed the spatial relationship between dWMH and PVS.Results Higher PVS scores in the centrum semiovale were found in patients with>5 dWMHs(median 3)than subjects without dWMH(median 2,p=0.014).We found there was a greater dilatation and a higher number of PVS in NAWM around dWMH than at the reference sites(p<0.001,p<0.001).In addition,79.59%of the dWMHs were spatially connected with PVS.Conclusion dWMH,NAWM surrounding WMH and MRI-visible PVS are spatially correlated in the early stage of cerebral small vessel disease.Future study of WMH and NAWM should not overlook MRI-visible PVS. | Yajing Huo Yilin Wang Cen Guo Qianyun Liu Lili Shan Mingyuan Liu Haibo Wu Guanwu Li Huihui Lv Lingdan Lu Yintin Zhou Jianfeng Feng Yan Han | 2023 | Stroke & Vascular Neurology2023，8，2： | 2 |
| 9 | TG-FTIR characterization of volatile compounds from flame retard- ant polyurethane foams materials显示文摘 | Chen Xilei Huo Lili Jiao Chuanmei | 2013 | Journal of Analyti eal and Applied Pyrolysis2013，100，： | 1 |
| 10 | B2SMatcher:fine-Grained version identification of open-Source software in binary files显示文摘Codes of Open Source Software(OSS)are widely reused during software development nowadays.However,reusing some specific versions of OSS introduces 1-day vulnerabilities of which details are publicly available,which may be exploited and lead to serious security issues.Existing state-of-the-art OSS reuse detection work can not identify the specific versions of reused OSS well.The features they selected are not distinguishable enough for version detection and the matching scores are only based on similarity.This paper presents B2SMatcher,a fine-grained version identification tool for OSS in commercial off-the-shelf(COTS)software.We first discuss five kinds of version-sensitive code features that are trackable in both binary and source code.We categorize these features into program-level features and function-level features and propose a two-stage version identification approach based on the two levels of code features.B2SMatcher also identifies different types of OSS version reuse based on matching scores and matched feature instances.In order to extract source code features as accurately as possible,B2SMatcher innovatively uses machine learning methods to obtain the source files involved in the compilation and uses function abstraction and normalization methods to eliminate the comparison costs on redundant functions across versions.We have evaluated B2SMatcher using 6351 candidate OSS versions and 585 binaries.The result shows that B2SMatcher achieves a high precision up to 89.2%and outperforms state-of-the-art tools.Finally,we show how B2SMatcher can be used to evaluate real-world software and find some security risks in practice. | Gu Ban Lili Xu Yang Xiao Xinhua Li Zimu Yuan Wei Huo | 2021 | Cybersecurity2021，4，1： | 1 |
| 11 | ELAID:detecting integer-Overflow-to-Buffer-Overflow vulnerabilities by light-weight and accurate static analysis显示文摘The Integer-Overflow-to-Buffer-Overflow(IO2BO)vulnerability has been widely exploited by attackers to cause severe damages to computer systems.Automatically identifying this kind of vulnerability is critical for software security.Despite many works have been done to mitigate integer overflow,existing tools either report large number of false positives or introduce unacceptable time consumption.To address this problem,in this article we present a static analysis framework.It first constructs an inter-procedural call graph and utilizes taint analysis to accurately identify potential IO2BO vulnerabilities.Then it uses a light-weight method to further filter out false positives.Specifically,it generates constraints representing the conditions under which a potential IO2BO vulnerability can be triggered,and feeds the constraints to SMT solver to decide their satisfiability.We have implemented a prototype system ELAID based on LLVM,and evaluated it on 228 programs of the NIST’s SAMATE Juliet test suite and 14 known IO2BO vulnerabilities in real world.The experiment results show that our system can effectively and efficiently detect all known IO2BO vulnerabilities. | Lili Xu Mingjie Xu Feng Li Wei Huo | 2020 | Cybersecurity2020，3，1： | 1 |
| 12 | Catena-poly-bis]显示文摘 | Kong Lili Gao Shan Huo Lihua | 2007 | Acta Crystallogr E2007，63，： | 1 |
| 13 | Catena-poly-bisdihydrate]显示文摘 | Kong Lili Gao Shan Huo Lihua | 2007 | Acta Crystallogr E2007，63，： | 1 |
| 14 | Research on the feasibility of shape-stabilized phase-change materials at lower temperature used in the phase change wall显示文摘 | YAN Quanying HUO Ran JIN Lili | | 0，，446： | 1 |
| 15 | Review on contaminants in edible oil and analytical technologies显示文摘Edible oil is an important part of the human daily diet,which is popular in the food industry.People are paying increasing attention to the safety of edible oil as flawed oils have caused enormous international losses and posed a huge threat to consumer health issues.Therefore,it is necessary and important to analyze the quality and safety of oil product.In the present study,we particularly reviewed recent literature on analysis of emerging pollutants in edible oil including mycotoxins,pesticide residues and heavy metals.In addition,a series of emerging analytical technologies(HPLC,LC-MS/MS and GC-MS)for these contaminants were also summarized in this paper. | Qing Xia Zhaolin Du Dasong Lin Lili Huo Li Qin Wei Wang Liwen Qiang Yanpo Yao Yi An | 2021 | Oil Crop Science2021，6，1： | 1 |
| 16 | Synergistic silver-mediated and palladium-catalyzed nondirected olefination of aryl C–H bond: quick access to multi-substituted aryl olefins显示文摘Transition metal-catalyzed olefination of aryl C-H bond is a powerful tool for the synthesis of alkenes. While the Pd-catalyzed oxidative C-H olefination of arenes, also known as Fujiwara-Moritani reaction, has been established as one of the most efficient methods, the substrates are largely limited to terminal olefins with electron-withdrawing group(s). Herein, we report a synergistic silver-mediated and palladium-catalyzed non-directed C-H olefination of arenes with vinyl(pseudo)halides, which offers a complementary strategy to the typical Fujiwara-Moritani reaction. The reactions proceeded well for a variety of halogenated arenes, heteroarenes, and olefin substrates, providing an efficient access to various multi-substituted aryl olefins, including trisubstituted/tetrasubstituted olefins and several complex olefins derived from medicines or natural products. Mechanistic studies indicated a bimetallic Pd/Ag cooperation is operative in the catalysis, i.e., the reaction is initiated by aryl C-H bond cleavage via ligation with phosphine/Ag species, followed by transferring of the aryl moiety to a vinyl palladium intermediate,which is in turn formed by oxidative addition of vinyl(pseudo)halide to a Pd complex. This method enables the synthesis of a wide range of challenging multi-substituted vinyl products from simple arenes(directing-group free) in a streamlined and controllable fashion. | Jian Yao Lili Shao Xiaohong Huo Xiaoming Wang | 2024 | Science China Chemistry2024，67，3： | 0 |
| 17 | Type 2 diabetes:Challenges facing GPs显示文摘China faces a huge task in managing the large numbers of people with diabetes.Primary care is at the forefront of this challenge,and needs to begin to adopt some of the management and organizational approaches that have been shown to be successful in tackling diabetes and similar chronic diseases. | Lili Huo Jonathan E.Shaw | 2018 | Family Medicine and Community Health2018，6，1： | 0 |
| 18 | Prevention and Control Test of Semiaphis heraclei in Spring显示文摘[Objectives] The paper was to study the prevention and control effect of botanical pesticides on Semiaphis heraclei at different temperatures. [Methods] When the daily average temperatures in spring were 15 and 20 ℃, the control effects of 0.3% azadirachtin EC 500 times dilution and 0.3% matrine AS 1 000 times dilution on S. heraclei were studied. [Results] When the daily average temperature was 15 ℃, 0.3% azadirachtin EC 500 times dilution had relatively good control effect on S. heraclei, with a long duration. The prevention and control of S. heraclei in spring better controlled the population quantity of S. heraclei fundatrix and reduced the degree of harm. [Conclusions] The study provides a basis for the pollution-free control of S. heraclei in the green space of parks. | Lili JIAO Suhui BAI Yingxin ZHU Xuekai SUN Jun LIU Xinyi HUO | 2022 | Plant Diseases and Pests2022，13，4： | 0 |
| 19 | Trapping of Cinara pinea with Shellac显示文摘Based on the observation and record of trapping effect of Cinara pinea in urban green space for three consecutive years,the occurrence regularity and causes of C.pinea in urban green space were summarized.The results showed that the quantity of C.pinea was different in different months from August to December,and the damage degree of C.pinea was reduced in the next spring.During rainy and snowy weather from August to December,the number of C.pinea was relatively large,and the egg quantity of C.pinea in February and the number of C.pinea in April were relatively low.Some suggestions on the prevention and control of C.pinea in urban parks were put forward. | JIAO Lili BAI Suhui WANG Yin ZHU Yingxin HUO Xinyi | 2022 | Journal of Landscape Research2022，14，5： | 0 |
| 20 | Research on Data Extraction and Analysis of Software Defect in IoT Communication Software显示文摘Software defect feature selection has problems of feature space dimensionality reduction and large search space.This research proposes a defect prediction feature selection framework based on improved shuffled frog leaping algorithm(ISFLA).Using the two-level structure of the framework and the improved hybrid leapfrog algorithm's own advantages,the feature values are sorted,and some features with high correlation are selected to avoid other heuristic algorithms in the defect prediction that are easy to produce local The case where the convergence rate of the optimal or parameter optimization process is relatively slow.The framework improves generalization of predictions of unknown data samples and enhances the ability to search for features related to learning tasks.At the same time,this framework further reduces the dimension of the feature space.After the contrast simulation experiment with other common defect prediction methods,we used the actual test data set to verify the framework for multiple iterations on Internet of Things(IoT)system platform.The experimental results show that the software defect prediction feature selection framework based on ISFLA is very effective in defect prediction of IoT communication software.This framework can save the testing time of IoT communication software,effectively improve the performance of software defect prediction,and ensure the software quality. | Wenbin Bi Fang Yu Ning Cao Wei Huo Guangsheng Cao Xiuli Han Lili Sun Russell Higgs | 2020 | Computers, Materials & Continua2020，，11： | 0 |
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