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Conductive and stable polyphenylene/CNT composite membrane for electrically enhanced membrane fouling mitigation

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Frontiers of Environmental Science & Engineering 2024年第1期18卷 35-47页

作者： Huijuan Xie Haiguang Zhang Xu wang Gaoliang Wei Shuo Chen Xie quan Key Laboratory of Industrial Ecology and Environmental Engineering(Ministry of Education) School of Environmental Science and TechnologyDalian University of TechnologyDalian 116024China

Nanocarbon-based conductive membranes, especially carbon nanotube (CNT)-based membranes, have tremendous potential for wastewater treatment and water purification because of their excellent water permeability and selectivity, as well as their electrochemically enhanced performance (e.g., improved antifouling ability). However, it remains challenging to prepare CNT membranes with high structural stability and high electrical conductivity. In this study, a highly electroconductive and structurally stable polyphenylene/CNT (PP/CNT) composite membrane was prepared by electropolymerizing biphenyl on a CNT hollow fiber membrane. The PP/CNT membrane showed 3.4 and 5.0 times higher electrical conductivity than pure CNT and poly(vinyl alcohol)/CNT (PVA/CNT) membranes, respectively. The structural stability of the membrane was superior to that of the pure CNT membrane and comparable to that of the PVA/CNT membrane. The membrane fouling was significantly alleviated under an electrical assistance of −2.0 V, with a flux loss of only 11.7% after 5 h filtration of humic acid, which is significantly lower than those of PP/CNT membranes without electro-assistance (56.8%) and commercial polyvinylidene fluoride (PVDF) membranes (64.1%). Additionally, the rejection of negatively charged pollutants (humic acid and sodium alginate) was improved by the enhanced electrostatic repulsion. After four consecutive filtration-cleaning cycle tests, the flux recovery rate after backwashing reached 97.2%, which was much higher than those of electricity-free PP/CNT membranes (67.0%) and commercial PVDF membranes (61.1%). This study offers insights into the preparation of stable conductive membranes for membrane fouling control in potential water treatment applications.

关键词： Polyphenylene CNTs Membrane Electro-assistance Membrane fouling mitigation

Simultaneously enhanced energy storage performance and luminance resistance in (K_(0.5)Na_(0.5))NbO_(3) -based ceramics via synergistic optimization strategy

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Journal of Advanced Ceramics 2024年第1期13卷 34-43页

作者： Yu Huan Diyu gui Changxiao Li Tao Wei Lingzhi Wu Xinjian wang Xiaozhi wang Zhenxiang Cheng School of Materials Science and Engineering University of JinanJinan 250022China Yangtze Delta Region Transformation Center for Advanced Technological Achievements Suzhou 215000China Electronic Materials Research Laboratory Key Laboratory of the Ministry of Education and International Center for Dielectric ResearchXi’an Jiaotong UniversityXi’an 710032China Institute for Superconducting and Electronic Materials Australian Institute for Innovative MaterialsUniversity of WollongongInnovation CampusNorth Wollongong 2500Australia

The rapidly advancing energy storage performance of dielectric ceramics capacitors has garnered significant interest for applications in fast charge/discharge and high-power electronic *** the exceptional electrical properties in harsh environments can further promote their practical *** carriers can be excited under luminance irradiation,thereby leading to degradation of energy storage ***,a synergic optimization strategy is proposed to enhance energy storage properties and luminance resistance of(K_(0.5)Na_(0.5))NbO_(3)-base(KNN)***,the introduction of Bi(Zn0.5Ti0.5)O_(3) solid solution and La3+ions disrupts the long-range polar orders and enhances super paraelectric relaxation ***,doping La3+ions can increase the band gap and reduce oxygen vacancy concentration,resulting in excellent luminance ***,the viscous polymer process is employed to suppress the grain growth and promote chemical *** a result,ultrahigh recoverable energy storage density(Wrec)of 8.11 J/cm3 and high efficiency(η)of 80.98%are achieved under an electric field of 568 kV/***,the variations in Wrec andηare only 12.45%and 1.75%,respectively,under 500 W xenon lamp irradiation compared to the performance under a dark *** findings hold great potential in facilitating the practical application of dielectric ceramic capacitors in luminance irradiation environments.

关键词： potassium-sodium niobate energy storage performance illumination resistance oxygen vacancy viscous polymer processing

A hybrid physics-informed data-driven neural network for CO_(2) storage in depleted shale reservoirs

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Petroleum Science 2024年第1期21卷 286-301页

作者： Yan-Wei wang Zhen-Xue Dai gui-Sheng wang Li Chen Yu-Zhou Xia Yu-Hao Zhou College of Construction Engineering Jilin UniversityChangchun130026JilinChina Institute of Intelligent Simulation and Early Warning for Subsurface Environment Jilin UniversityChangchun130026JilinChina School of Energy Resources China University of GeosciencesBeijing100083China Department of Safety Environmental Protection and Quality ManagementShengli OilfieldSinopecDongying257000ShandongChina Key Laboratory of Thermo-Fluid Science and Engineering of MOE School of Energy and Power EngineeringXi'an Jiaotong UniversityXi'an710049ShaanxiChina College of Computer Science and Technology China University of Petroleum(East China)Qingdao266580ShandongChina Department of Physics University of FribourgFribourg1700Switzerland

To reduce CO_(2) emissions in response to global climate change,shale reservoirs could be ideal candidates for long-term carbon geo-sequestration involving multi-scale transport ***,most current CO_(2) sequestration models do not adequately consider multiple transport ***,the evaluation of CO_(2) storage processes usually involves laborious and time-consuming numerical simulations unsuitable for practical prediction and *** this paper,an integrated model involving gas diffusion,adsorption,dissolution,slip flow,and Darcy flow is proposed to accurately characterize CO_(2) storage in depleted shale reservoirs,supporting the establishment of a training *** this basis,a hybrid physics-informed data-driven neural network(HPDNN)is developed as a deep learning surrogate for prediction and *** incorporating multiple sources of scientific knowledge,the HPDNN can be configured with limited simulation resources,significantly accelerating the forward and inversion ***,the HPDNN can more intelligently predict injection performance,precisely perform reservoir parameter inversion,and reasonably evaluate the CO_(2) storage capacity under complicated *** validation and test results demonstrate that the HPDNN can ensure high accuracy and strong robustness across an extensive applicability range when dealing with field data with multiple noise *** study has tremendous potential to replace traditional modeling tools for predicting and making decisions about CO_(2) storage projects in depleted shale reservoirs.

关键词： Deep learning Physics-informed data-driven neural network Depleted shale reservoirs CO_(2)storage Transport mechanisms

Novel intelligent reasoning system for tool wear prediction and parameter optimization in intelligent milling

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Advances in Manufacturing 2024年第1期12卷 76-93页

作者： Long-Hua Xu Chuan-Zhen Huang Zhen wang Han-Lian Liu Shui-quan Huang Jun wang School of Mechanical Engineering Yanshan UniversityQinhuangdao066004HebeiPeople’s Republic of China Center for Advanced Jet Engineering Technologies(CaJET) Key Laboratory of High-efficiency and Clean Mechanical Manufacture(Ministry of Education)National Experimental Teaching Demonstration Center for Mechanical Engineering(Shandong University)School of Mechanical EngineeringShandong UniversityJinan250061People’s Republic of China Institute of Manufacturing Technology Guangdong University of TechnologyGuangzhou510006People’s Republic of China

Accurate intelligent reasoning systems are vital for intelligent *** this study,a new intelligent reasoning system was developed for milling processes to accurately predict tool wear and dynamically optimize machining *** developed system consists of a self-learning algorithm with an improved particle swarm optimization(IPSO)learning algorithm,prediction model determined by an improved case-based reasoning(ICBR)method,and optimization model containing an improved adaptive neural fuzzy inference system(IANFIS)and *** results showed that the IPSO algorithm exhibited the best global convergence *** ICBR method was observed to have a better performance in predicting tool wear than standard CBR *** IANFIS model,in combination with IPSO,enabled the optimization of multiple objectives,thus generating optimal milling *** paper offers a practical approach to developing accurate intelligent reasoning systems for sustainable and intelligent manufacturing.

关键词： Improved particle swarm optimization(IPSO)algorithm Improved case-based reasoning(ICBR)method Adaptive neural fuzzy inference system(ANFIS)model Tool wear prediction Intelligent manufacturing

Characterization of the pheromone receptors in Mythimna loreyi reveals the differentiation of sex pheromone recognition in Mythimna species

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Insect Science 2024年第1期31卷 173-185页

作者： Chan wang Lei Liu Tian-Yu Huang Yu Zhang Yang Liu gui-Rong wang State Key Laboratory for Biology of Plant Diseases and Insect Pests Institute of Plant ProtectionChinese Academy of Agricultural SciencesBeijingChina Guangdong Laboratory of Lingnan Modern Agriculture ShenzhenGenome Analysis Laboratory of the Ministry of AgricultureAgricultural Genomics Institute at ShenzhenChinese Academy of Agricultural SciencesShenzhenChina School of Forestry Northeast Forestry UniversityHarbinChina Key Laboratory of Biohazard Monitoring Green Prevention and Control for Artificial GrasslandMinistry of Agriculture and Rural AffairsInstitute of Grassland Research of Chinese Academy of Agricultural SciencesInner Mongolia HohhotChina

Pheromone receptors(PRs)are key proteins in the molecular mechanism of pheromone recognition,and exploring the functional differentiation of PRs between closely related species helps to understand the evolution of moth mating *** components of the agricultural pest Mythimna loreyi have turned into(Z)-9-tetradecen-1-yl acetate(Z9-14:OAc),(Z)-7-dodecen-1-yl acetate(Z7-12:OAc),and(Z)-11-hexadecen-1-yl acetate,while the composition differs from that of *** in the genus *** understand the molecular mechanism of pheromone recognition,we sequenced and analyzed antennal transcriptomes to identify 62 odorant receptor(OR)*** expression levels of all putative ORs were analyzed using differentially expressed gene *** candidate PRs were quantified and functionally characterized in the Xenopus oocytes ***6 and MlorPR3 were determined to be the receptors of major and minor components Z9-14:OAc and Z7-12:***1 and female antennae(FA)-biased MlorPR5 both possessed the ability to detect pheromones of sympatric species,including(Z,E)-9,12-tetradecadien-1-ol,(Z)-9-tetradecen-1-ol,and(Z)-*** on the comparison of PR functions between *** and ***,we analyzed the differentiation of pheromone recognition mechanisms during the evolution of the mating systems of 2 Mythimna species.

关键词： antennal transcriptome Mythimna loreyi pheromone receptor sex pheromone Xenopus oocyte

Current Mycoplasma pneumoniae epidemic among children in Shanghai:unusual pneumonia caused by usual pathogen

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World Journal of Pediatrics 2024年第1期20卷 5-10页

作者： Xiao-Bo Zhang Wen He Yong-Hao gui quan Lu Yong Yin Jian-Hua Zhang Xiao-Yan Dong Ying-Wen wang Ying-Zi Ye Hong Xu Jia-Yu wang Bing Shen Dan-Ping Gu Li-Bo wang Yi wang Department of Respiratory Medicine Children's Hospital of Fudan University399 Wanyuan RoadShanghai 201102China State Key Laboratory of Genetic Engineering at School of Life Sciences Institute of Reproduction&DevelopmentChildren's Hospital of Fudan UniversityShanghaiChina Department of Respiratory Medicine Children's Hospital of Shanghai Jiao Tong UniversityShanghaiChina Department of Respiratory Medicine Shanghai Children's Medical CenterAffiliated to Shanghai Jiaotong University School of MedicineShanghaiChina Department of Pediatric Respiratory Xinhua HospitalAffiliated to Shanghai Jiaotong University School of MedicineShanghaiChina Department of Nursing Children's Hospital of Fudan UniversityShanghaiChina Department of Infectious Diseases Children's Hospital of Fudan UniversityShanghaiChina Department of Nephrology Children's Hospital of Fudan UniversityShanghaiChina NHC Key Laboratory of Neonatal Diseases Children's Hospital of Fudan UniversityShanghaiChina Shanghai Shenkang Hospital Development Center ShanghaiChina Center for Medical Quality Control Management of Shanghai ShanghaiChina Department of Neurology Children's Hospital of Fudan University399Wanyuan RoadShanghai 201102China

Mycoplasma pneumoniae(***),primarily transmitted through respiratory droplets when infected individuals cough or sneeze,is a common cause of communityacquired pneumonia,especially among school-age children and *** infection occurs endemically with an epidemic peak every few *** worldwide incidence confirmed by direct test methods was reported to be 8.61%between 2017 and 2020 across all age groups[1].

关键词： pneumonia epidemic respiratory

Efficacy comparison of fruquintinib,regorafenib monotherapy or plus programmed death-1 inhibitors for microsatellite stable metastatic colorectal cancer

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World Journal of Gastrointestinal Oncology 2024年第6期16卷 2449-2462页

作者： Tian-Qi An Hui Qiu quan-Bo Zhou Hong Zong Shuang Hu Yu-gui Lian Rui-Hua Zhao Department of Oncology The First Affiliated Hospital of Zhengzhou UniversityZhengzhou 450000Henan ProvinceChina Department of Hepato-Pancreato-Biliary Surgery Peking University Cancer Hospital and InstituteBeijing 100000China Department of Colorectal Surgery The First Affiliated Hospital of Zhengzhou UniversityZhengzhou 450000Henan ProvinceChina

BACKGROUND Regorafenib(R)and fruquintinib(F)are the standard third-line regimens for colorectal cancer(CRC)according to the National Comprehensive Cancer Network guidelines,but both have limited *** phase 2 trials have indicated that R or F combined with immune checkpoint inhibitors can reverse immunosuppression and achieve promising efficacy for microsatellite stable or proficient mismatch repair(MSS/pMMR)*** to the lack of studies comparing the efficacy between F,R,F plus programmed death-1(PD-1)inhibitor,and R plus PD-1 inhibitors(RP),it is still unclear whether the combination therapy is more effective than *** To provide critical evidence for selecting the appropriate drugs for MSS/pMMR metastatic CRC(mCRC)patients in clinical *** A total of 2639 CRC patients were enrolled from January 2018 to September 2022 in our hospital,and 313 MSS/pMMR mCRC patients were finally *** A total of 313 eligible patients were divided into F(n=70),R(n=67),F plus PD-1 inhibitor(FP)(n=95)and RP(n=81)*** key clinical characteristics were well balanced among the *** median progression-free survival(PFS)of the F,R,FP,and RP groups was 3.5 months,3.6 months,4.9 months,and 3.0 months,*** median overall survival(OS)was 14.6 months,15.7 months,16.7 months,and 14.1 *** FP regimen had an improved disease control rate(DCR)(P=0.044)and 6-month PFS(P=0.014)and exhibited a better trend in PFS(P=0.057)compared with F,and it was also significantly better in PFS than RP(P=0.030).RP did not confer a significant survival benefit;instead,the R group had a trend toward greater benefit with OS(P=0.080)compared with *** significant differences were observed between the R and F groups in PFS or OS(P>0.05).CONCLUSION FP is superior to F in achieving 6-month PFS and DCR,while RP is not better than *** has an improved PFS and 6-month PFS compared with RP,but F and R had similar clinical ***,FP may be a

关键词： Colorectal cancer Fruquintinib Regorafenib Programmed death-1 inhibitor Real-world

Design and modification of metal sulfide-based catalysts for lithiumsulfur batteries

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Particuology 2024年第3期86卷 86-100页

作者： Yufei Zhao Chuannan Geng Li wang Haotian Yang Wei Lv quan-Hong Yang Nanoyang Group State Key Laboratory of Chemical EngineeringSchool of Chemical Engineering and TechnologyNational Industry-Education Integration Platform of Energy Storageand Collaborative Innovation Center of Chemical Science and Engineering(Tianjin)Tianjin UniversityTianjin300072China Shenzhen Geim Graphene Center Engineering Laboratory for Functionalized Carbon MaterialsTsinghua Shenzhen International Graduate SchoolTsinghua UniversityShenzhen518055China Haihe Laboratory of Sustainable Chemical Transformations Tianjin300192China Joint School of National University of Singapore and Tianjin University International Campus of Tianjin UniversityFuzhou350207China

Metal sulfide(MS)have good conductivity,strong adsorption ability,and excellent catalytic activity for the conversion of sulfur species,and thus,show great promise as the catalysts in LieS ***,the relationship between their properties and electrochemical performance is still ***,further in-depth discussions are required to improve their design in Li-S *** review systematically summarizes the basic structural and electrochemical properties of MSs and highlights the advantages that guarantee them as high-performance catalysts in Li-S ***,various modification strategies for MSs to enhance the catalytic activity,efficiency,and stability are also *** last,future opportunities for MS catalysts in Li-S batteries are proposed.

关键词： Lithium-sulfur battery Metal sulfide Catalysis

A Deep Residual PLS for Data-Driven Quality Prediction Modeling in Industrial Process

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IEEE/CAA Journal of Automatica Sinica 2024年第8期11卷 1777-1785页

作者： Xiaofeng Yuan Weiwei Xu Yalin wang Chunhua Yang Weihua gui School of Automation Central South UniversityChangsha 410083China She is now with Guangzhou Electromechanical Technician College Guangzhou 510000China

Partial least squares(PLS)model is the most typical data-driven method for quality-related industrial tasks like soft ***,only linear relations are captured between the input and output data in the *** is difficult to obtain the remaining nonlinear information in the residual subspaces,which may deteriorate the prediction performance in complex industrial *** fully utilize data information in PLS residual subspaces,a deep residual PLS(DRPLS)framework is proposed for quality prediction in this *** by deep learning,DRPLS is designed by stacking a number of PLSs successively,in which the input residuals of the previous PLS are used as the layer *** enhance representation,nonlinear function is applied to the input residuals before using them for stacking highlevel *** each PLS,the output parts are just the output residuals from its previous ***,the output prediction is obtained by adding the results of each *** effectiveness of the proposed DRPLS is validated on an industrial hydrocracking process.

关键词： Deep residual partial least squares(DRPLS) nonlinear function quality prediction soft sensor