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The impact of water quality on the formation of halogenated benzoquinones and the adsorption efficiency by activated carbon

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Journal of Environmental Sciences 2024年第1期135卷 693-702页

作者： Yongjing Wang song Gao Xinyu yan.songtao Wang Ruolin zhang yan Zhou Lianhai Ren Cheng Li State Environmental Protection Key Laboratory of Food Chain Pollution Control Beijing Technology and Business UniversityBeijing 100048China Institute of Scientific and Technical Information of China Beijing 100038China Institute of Quality Standard and Testing Technology Beijing Academy of Agriculture and Forestry SciencesBeijing 100097China Key Laboratory of Cleaner Production and Integrated Resource Utilization of China National Light Industry Beijing Technology and Business UniversityBeijing 100048China

Halogenated benzoquinones(HBQs)could cause bladder cancer,but there were few related studies on the generation and *** this study,the impact of different precursors,pH,bromide concentration,and algae-derived organic matters on the formation of HBQs and the removal efficiency by activated carbon were *** was found that the chlorination of bisphenol A produced the most 2,6-dichloro-1,4-benzoquinone(2,6-DCBQ),reaching 14.86μg/L at 1 hr,followed by tyrosine,2-chlorophenol,P-hydroxybenzoic acid,trichlorophenol,and *** production of 2,6-DCBQ increased first and then decreased from 0 to 36 hr(chlorination doses 0-20 mg/L),indicating that HBQs were unstable in ***(THMs)were detected during chlorination,and the concentration increased with prolongation of reaction time.2,6-DCBQ production decreased and 2,6-dibromo-1,4-benzoquinone(2,6-DBBQ)production increased with increment bromide concentration and the bromide promoted the formation of *** production of 2,6-DCBQ decreased with increase of pH,and the maximum production was 141.38μg/L at pH of *** aeruginosa,Chlorella algae cells,and intracellular organic matters(IOM)could be chlorinated as potential precursors for *** most amount of 2,6-DCBQ was generated from algae cells of Microcystis aeruginosa,followed by Chlorella algae cells,Microcystis aeruginosa IOM,and Chlorella *** study compared the removal efficiency of HBQs by granular activated carbon(GAC)and columnar activated carbon(CAC)under different carbon doses and initial concentrations of *** was found that the removal efficiency by GAC(80.1%)was higher than that by CAC(51.8%),indicating that GAC has better control for HBQs.

关键词： HBQS DBPS Drinking water Algae derived organic matters Activated carbon

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Network Intrusion Traffic Detection Based on Feature Extraction

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Computers, Materials & Continua 2024年第1期78卷 473-492页

作者： Xuecheng Yu yan Huang Yu zhang Mingyang song Zhenhong Jia College of Information Science and Engineering Xinjiang UniversityUrumqi830046China Network Department China Mobile Communications Group Xinjiang CoLtd.UrumqiUrumqi830011China Xinjiang Signal Detection and Processing Key Laboratory Xinjiang UniversityUrumqi830000China

With the increasing dimensionality of network traffic,extracting effective traffic features and improving the identification accuracy of different intrusion traffic have become critical in intrusion detection systems(IDS).However,both unsupervised and semisupervised anomalous traffic detection methods suffer from the drawback of ignoring potential correlations between features,resulting in an analysis that is not an optimal ***,in order to extract more representative traffic features as well as to improve the accuracy of traffic identification,this paper proposes a feature dimensionality reduction method combining principal component analysis and Hotelling’s T^(2) and a multilayer convolutional bidirectional long short-term memory(MSC_BiLSTM)classifier model for network traffic intrusion *** method reduces the parameters and redundancy of the model by feature extraction and extracts the dependent features between the data by a bidirectional long short-term memory(BiLSTM)network,which fully considers the influence between the before and after *** network traffic is first characteristically downscaled by principal component analysis(PCA),and then the downscaled principal components are used as input to Hotelling’s T^(2) to compare the differences between *** datasets with outliers,Hotelling’s T^(2) can help identify the groups where the outliers are located and quantitatively measure the extent of the ***,a multilayer convolutional neural network and a BiLSTM network are used to extract the spatial and temporal features of network traffic *** empirical consequences exhibit that the suggested approach in this manuscript attains superior outcomes in precision,recall and F1-score juxtaposed with the prevailing *** results show that the intrusion detection accuracy,precision,and F1-score of the proposed MSC_BiLSTM model for the CIC-IDS 2017 dataset are 98.71%,95.97%,and 90.22%.

关键词： Network intrusion traffic detection PCA Hotelling’s T^(2) BiLSTM

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Missing Value Imputation for Radar-Derived Time-Series Tracks of Aerial Targets Based on Improved Self-Attention-Based Network

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Computers, Materials & Continua 2024年第3期78卷 3349-3376页

作者： Zihao song yan Zhou Wei Cheng Futai Liang Chenhao zhang Department of Early Warning Intelligence Early Warning AcademyWuhan430019China

The frequent missing values in radar-derived time-series tracks of aerial targets(RTT-AT)lead to significant challenges in subsequent data-driven ***,the majority of imputation research focuses on random missing(RM)that differs significantly from common missing patterns of *** method for solving the RM may experience performance degradation or failure when applied to RTT-AT *** autoregressive deep learning methods are prone to error accumulation and long-term dependency *** this paper,a non-autoregressive imputation model that addresses the issue of missing value imputation for two common missing patterns in RTT-AT is *** model consists of two probabilistic sparse diagonal masking self-attention(PSDMSA)units and a weight fusion *** learns missing values by combining the representations outputted by the two units,aiming to minimize the difference between the missing values and their actual *** PSDMSA units effectively capture temporal dependencies and attribute correlations between time steps,improving imputation *** weight fusion unit automatically updates the weights of the output representations from the two units to obtain a more accurate final *** experimental results indicate that,despite varying missing rates in the two missing patterns,our model consistently outperforms other methods in imputation performance and exhibits a low frequency of deviations in estimates for specific missing *** to the state-of-the-art autoregressive deep learning imputation model Bidirectional Recurrent Imputation for Time Series(BRITS),our proposed model reduces mean absolute error(MAE)by 31%~50%.Additionally,the model attains a training speed that is 4 to 8 times faster when compared to both BRITS and a standard Transformer model when trained on the same ***,the findings from the ablation experiments demonstrate that the PSDMSA,the weight fusion unit,cascade network design

关键词： Missing value imputation time-series tracks probabilistic sparsity diagonal masking self-attention weight fusion

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Boron nitride nanofibers enhanced composite PEO-based solid-state polymer electrolytes for lithium metal batteries

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Chinese Chemical Letters 2024年第6期35卷 216-221页

作者： Qianqian song Yunting zhang Jianli Liang Si Liu Jian Zhu Xingbin yan School of Materials Science and Engineering Sun Yat-Sen UniversityGuangzhou 510275China College of Physics and Materials Science Tianjin Normal UniversityTianjin 300387China Department of Chemistry&Center of Super-Diamond and Advanced Films(COSDAF) City University of Hong KongHong Kong 999077China Guangdong-Hong Kong-Macao Joint Laboratory for Intelligent Micro-Nano Optoelectronic Technology School of Physics and Optoelectronic EngineeringFoshan UniversityFoshan 528225China

Polyethylene oxide(PEO)-based solid-state polymer electrolytes(SPEs)are limited by their poor cyclic stability and inferior ionic conductivity for applicating in high-safety,long-cycling and high-energy-density lithium metal ***,porous boron nitride nanofibers(BNNFs)are filled into PEO-based SPE,which significantly suppresses Li dendrites growth and enhances the electrochemical performance of Li metal *** with high porosity have more active sites to connect with PEO,which can effectively reduce the crystallinity of the PEO matrix and enhance its ionic ***,owing to the hardness and good stability of BNNFs,BNNFs/PEO/Li TFSI electrolyte exhibits a wider electrochemical window,better mechanical property and higher thermal stability compared with PEO/Li TFSI ***,the Li symmetric cell composed of 1%BNNFs/PEO/Li TFSI performs good cyclic stability(>1800 h),and the Li||1%BNNFs/PEO/Li TFSI||LFP full battery shows obviously improved performances in charge-discharge polarization voltage,discharge specific capacity,rate performance and cyclic stability than the Li||PEO/Li TFSI||LFP battery.

关键词： Solid-state polymer electrolyte Boron nitride nanofibers Lithium metal battery Ionic conductivity Li dendrite

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Chinese Medicine Combined with Adjuvant Chemotherapy for Improving Myelosuppression in Colorectal Cancer Patients:A Systematic Review and Network Meta-Analysis

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Chinese Journal of Integrative Medicine 2024年第7期30卷 643-652页

作者： LI Rui zhang Tong yan Shao-hua yan Yun-zi DING Ya-cong WANG yan.song yanG Yu-fei Department of Oncology China Academy of Chinese Medical SciencesXiyuan HospitalBeijing100091China Department of Oncology Dongfang Hospital Beijing University of Chinese MedicineBeijing100078China Graduate School Beijing University of Chinese MedicineBeijing100029China

Objective To assess the effectiveness of Chinese herbal medicine(CHM)combined with adjuvant chemotherapy on myelosuppression for colorectal cancer(CRC)patients using network meta-analysis(NMA).Methods Literature searches in both international(PubMed,Embase,Web of Science,and Cochrane Library)and Chinese(China Science and Technology Journal Database,Wanfang Data,China National Knowledge Infrastructure)databases for relevant randomized controlled trials(RCTs)were conducted from inception until October 10,*** included RCTs of patients who received CHM combined with chemotherapy,including FOLFOX,XELOX,FOLFIRI,and other relevant regimens in the CHM treatment *** outcomes included the incidence of myelosuppression,leukopenia,hemoglobin reduction,and *** reviewers independently screened the databases,extracted the data,and assessed the risk of bias and credibility of *** 5.4.1 software and STATA 14.0 were used to perform the *** A total of 31 RCTs were included,published from 2008 to 2021 in *** these,2,314 participants comparing the following 9 CHMs were identified:Shengbai Recipe(SBR),Bazhen Decoction(BZD),Jianpi Jiedu Recipe(JJR),Jianpi Recipe(JR),Compound Cantharis Capsule(CCC),Zaofan Pill(ZFP),Guilu Erxian Gel(GL),Buzhong Tiaogan Decoction(BZ),and Qiamagu Capsule(QM).The results of NMA found an indirect *** on the surface under the cumulative ranking curve(SUCRA),the ZFP+chemotherapy group had the lowest incidence of myelosuppression,with an odds ratio(OR)of 0.08[95%confidence interval(CI):0.01,0.76],whereas the GL+chemotherapy group had the lowest incidence of leukopenia,hemoglobin reduction,and thrombocytopenia,with an OR of 5.25(95%CI:2.41,11.43),4.66(95%CI:2.23,9.72),and 0.27(95%CI:0.13,0.54),***,BZD+chemotherapy could alleviate leukopenia,hemoglobin reduction,and thrombocytopenia(P<0.01).Pairwise comparison showed that there was no difference in the efficacy among the 8 CHMs+c

关键词： Chinese herbal medicine colorectal cancer network meta-analysis systematic review myelosuppression chemotherapy

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Field testing of shear strength of granite residual soils

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第9期16卷 3718-3732页

作者： song Yin Pengfei Liu Xianwei zhang Wenyuan He Pan yan Yuzhou Sun School of Civil Engineering and Architecture Zhongyuan University of TechnologyZhengzhou450007China State Key Laboratory of Geomechanics and Geotechnical Engineering Institute of Rock and Soil MechanicsChinese Academy of SciencesWuhan430071China

The characteristics of residual soils are very different from those of sedimentary *** the strength characteristics of sedimentary soils have been studied extensively,the shear strength characteristics of granitic residual soils(GRS)subjected to the weathering of parent rocks have rarely been *** this study,the shear strength characteristics of GRS in the Taishan area of southeast China(TSGRS)were studied by field and laboratory *** field tests consisted of a cone penetration test(CPT),borehole shear test(BST),self-boring pressuremeter test(SBPT),and seismic dilatometer Marchetti test(SDMT).The shortcomings of laboratory testing are obvious,with potential disturbances arising through the sampling,transportation,and preparation of soil *** to the special structure of GRS samples and the ease of disturbance,the results obtained from laboratory tests were generally lower than those obtained from situ *** CPT and scanning electron microscopy(SEM)results indicated significant weathering and crustal hardening in the shallow *** resulted in significant differences in the strength and strength parameters of shallow soil obtained by the *** on the SDMT and SBPT results,a comprehensive evaluation method of shear strength for TSGRS was *** SBPT was suitable for evaluating the strength of shallow *** material index(ID)and horizontal stress index(KD)values obtained by the SDMT satisfied the empirical relationship proposed by Marchetti based on the ID index,and were therefore considered suitable for the evaluation of the shear strength of deep GRS.

关键词： Granite residual soils Shear strength Field tests Self-boring pressuremeter Seismic dilatometer Borehole shear test

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An Empirical Study on Google Research Football Multi-agent Scenarios

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Machine Intelligence Research 2024年第3期21卷 549-570页

作者： yan.song He Jiang Zheng Tian Haifeng zhang Yingping zhang Jiangcheng Zhu Zonghong Dai Weinan zhang Jun Wang Institute of Automation Chinese Academy of SciencesBeijing100190China Digital Brain Lab Shanghai200001China ShanghaiTech University Shanghai200001China Huawei Cloud Guiyang550003China Shanghai Jiao Tong University Shanghai200001China University College London LondonWC1E 6PTUK

Few multi-agent reinforcement learning (MARL) researches on Google research football (GRF) focus on the 11-vs-11 multi-agent full-game scenario and to the best of our knowledge, no open benchmark on this scenario has been released to the public. In this work, we fill the gap by providing a population-based MARL training pipeline and hyperparameter settings on multi-agent football scenario that outperforms the bot with difficulty 1.0 from scratch within 2 million steps. Our experiments serve as a reference for the expected performance of independent proximal policy optimization (IPPO), a state-of-the-art multi-agent reinforcement learning algorithm where each agent tries to maximize its own policy independently across various training configurations. Meanwhile, we release our training framework Light-MALib which extends the MALib codebase by distributed and asynchronous implementation with additional analytical tools for football games. Finally, we provide guidance for building strong football AI with population-based training and release diverse pretrained policies for benchmarking. The goal is to provide the community with a head start for whoever experiment their works on GRF and a simple-to-use population-based training framework for further improving their agents through self-play. The implementation is available at https://***/Shanghai-Digital-Brain-Laboratory/DB-Football.

关键词： Multi-agent reinforcement learning(RL) distributed RL system population-based training reward shaping game theory

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Effect of annealing treatment on the microstructure and mechanical properties of warm-rolled Mg-Zn-Gd-Ca-Mn alloys

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International Journal of Minerals,Metallurgy and Materials 2024年第10期31卷 2208-2220页

作者： Yifan song Xihai Li Jinliang Xu Kai zhang Yaozong Mao Hong yan Huiping Li Rongshi Chen School of Materials Science and Engineering Shandong University of Science and TechnologyQingdao 266590China Shi-changxu Innovation Center for Advanced Materials Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China Shandong Key Laboratory of Advanced Aluminium Materials and Technology Binzhou Institute of TechnologyBinzhou 256606China

The basal texture of traditional magnesium alloy AZ31 is easy to form and exhibits poor plasticity at room *** address these problems,a multi-micro-alloyed high-plasticity Mg-1.8Zn-0.8Gd-0.1Ca-0.2Mn(wt%)alloy was developed using the unique role of rare earth and Ca solute *** addition,the influence of the annealing process on the grain size,second phase,texture,and mechanical properties of the warm-rolled sheet at room temperature was analyzed with the goal of developing high-plasticity mag-nesium alloy sheets and obtaining optimal thermal-mechanical treatment *** results show that the annealing temperature has a significant effect on the microstructure and properties due to the low alloying content:there are small amounts of larger-sized block and long string phases along the rolling direction(RD),as well as several spherical and rodlike particle phases inside the *** increas-ing annealing temperature,the grain size decreases and then increases,and the morphology,number,and size of the second phase also change *** particle phase within the grains vanishes at 450℃,and the grain size increases *** the full recrystal-lization stage at 300-350℃,the optimum strength-plasticity comprehensive mechanical properties are presented,with yield strengths of 182.1 and 176.9 MPa,tensile strengths of 271.1 and 275.8 MPa in the RD and transverse direction(TD),and elongation values of 27.4%and 32.3%,***,there are still some larger-sized phases in the alloy that influence its mechanical properties,which offers room for improvement.

关键词： Mg-Zn-Gd-Ca-Mn alloy annealing treatment microstructure texture dynamic recrystallization mechanical properties

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A novel mechanism of PHB2-mediated mitophagy participating in the development of Parkinson's disease

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Neural Regeneration Research 2024年第8期19卷 1828-1834页

作者： Yongjiang zhang Shiyi Yin Run song Xiaoyi Lai Mengmeng Shen Jiannan Wu Junqiang yan Key Laboratory of Neuromolecular Biology The First Affiliated HospitalCollege of Clinical Medicine of Henan University of Science and TechnologyLuoyangHenan ProvinceChina Department of Neurology The First Affiliated HospitalCollege of Clinical Medicine of Henan University of Science and TechnologyLuoyangHenan ProvinceChina

Endoplasmic reticulum stress and mitochondrial dysfunction play important roles in Parkinson s disease,but the regulato ry mechanism remains ***-2(PHB2)is a newly discove red autophagy receptor in the mitochondrial inner membrane,and its role in Parkinson’s disease remains *** kinase R(PKR)-like endoplasmic reticulum kinase(PERK)is a factor that regulates cell fate during endoplasmic reticulum *** is regulated by PERK and is a target of the unfolded protein *** is unclear whether PERK regulates PHB2-mediated mitophagy thro ugh *** this study,we established a 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine(MPTP)-induced mouse model of Parkinson’s *** used adeno-associated virus to knockdown PHB2 *** res ults showed that loss of dopaminergic neurons and motor deficits were aggravated in the MPTP-induced mouse model of Parkinson’s *** rexpression of PHB2 inhibited these *** also established a 1-methyl-4-phenylpyridine(MPP+)-induced SH-SY5Y cell model of Parkinson’s *** found that ove rexpression of Parkin increased co-localization of PHB2 and microtubule-associated protein 1 light chain 3,and promoted *** addition,MPP+regulated Parkin involvement in PHB2-mediated mitophagy through phosphorylation of *** findings suggest that PHB2 participates in the development of Parkinson’s disease by intera cting with endoplasmic reticulum stress and Parkin.

关键词： endoplasmic reticulum dopaminergic neuron microtubule-associated protein 1 light chain 3 mitophagy oxidative stress Parkin Parkinson’s disease PKR-like endoplasmic reticulum kinase reactive oxygen species prohibitin-2

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Data augmentation method for insulators based on Cycle-GAN

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Journal of Electronic Science and Technology 2024年第2期22卷 36-47页

作者： Run Ye Azzedine Boukerche Xiao-song Yu Cheng zhang Bin yan Xiao-Jia Zhou School of Automation Engineering University of Electronic Science and Technology of ChinaChengdu611731China School of Electrical Engineering and Computer Science University of OttawaOttawaK1N6N5Canada yangtze River Delta Research Institute(Huzhou) University of Electronic Science and Technology of ChinaHuzhou313001China

Data augmentation is an important task of using existing data to expand data *** generative countermeasure network technology to realize data augmentation has the advantages of high-quality generated samples,simple training,and fewer restrictions on the number of generated ***,in the field of transmission line insulator images,the freely synthesized samples are prone to produce fuzzy backgrounds and disordered samples of the main insulator *** solve the above problems,this paper uses the cycle generative adversarial network(Cycle-GAN)used for domain conversion in the generation countermeasure network as the initial framework and uses the self-attention mechanism and channel attention mechanism to assist the conversion to realize the mutual conversion of different insulator *** attention module with prior knowledge is used to build the generation countermeasure network,and the generative adversarial network(GAN)model with local controllable generation is built to realize the directional generation of insulator belt defect *** experimental results show that the samples obtained by this method are improved in a number of quality indicators,and the quality effect of the samples obtained is excellent,which has a reference value for the data expansion of insulator images.

关键词： Data expansion Deep learning Generate confrontation network Insulator

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