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Environmental Mn(Ⅱ) enhances the activity of dissimilatory arsenate-respiring prokaryotes from arsenic-contaminated soils

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Journal of Environmental Sciences 2023年第3期125卷 582-592页

作者： Yan wu Weiwei Wu Yifan Xu Yanxia Zuo Xian-Chun Zeng State Key Laboratory of Biogeology and Environmental Geology&School of Environmental Studies China University of Geosciences(Wuhan)Wuhan 430074China Institute of Hydrobiology the Chinese Academy of SciencesWuhan 430072China

Many investigations suggest that dissimilatory arsenate-respiring prokaryotes (DARPs) play a key role in stimulating reductive mobilization of As from solid phase into groundwater,but it is not clear how environmental Mn(Ⅱ) affects the DARPs-mediated reductive mobilization of arsenic.To resolve this issue,we collected soil samples from a realgar tailingsaffected area.We found that there were diverse arsenate-respiratory reductase (arr) genes in the soils.The microbial communities had high arsenate-respiring activity,and were able to efficiently stimulate the reductive mobilization of As.Compared to the microcosms without Mn(Ⅱ),addition of 10 mmol/L Mn(Ⅱ) to the microcosms led to 23.99%-251.79% increases in the microbial mobilization of As,and led to 133.3%-239.2% increases in the abundances of arr genes.We further isolated a new cultivable DARP,Bacillus sp.F11,from the arseniccontaminated soils.It completely reduced 1 mmol/L As(V) in 5 days under the optimal reaction conditions.We further found that it was able to efficiently catalyze the reductive mobilization and release of As from the solid phase;the addition of 2 mmol/L Mn(Ⅱ) led to 98.49%-248.78% increases in the F11 cells-mediated reductive mobilization of As,and70.6%-104.4% increases in the arr gene abundances.These data suggest that environmental Mn(Ⅱ) markedly increased the DARPs-mediated reductive mobilization of As in arseniccontaminated soils.This work provided a new insight into the close association between the biogeochemical cycles of arsenic and manganese.

关键词： dissimilatory arsenate-respiring prokaryote Arsenic mobilization Arsenic-contaminated groundwater Arsenate reduction Mn(II)

Few-shot RF fingerprinting recognition for secure satellite remote sensing and image processing

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Science China(Information Sciences) 2023年第8期66卷 277-278页

作者： Di LIN Su HU Weiwei Wu Gang wu National Key Laboratory of Science and Technology on Communication University of Electronic Science and Technology of China

We consider the security issues in a satellite remote sensing(SRS) and image processing system. Specifically, we present a novel architecture of a secure SRS image recognition system by using a radio frequency(RF) fingerprint to identify whether a satellite user is authenticated or not.For unauthenticated users, we address the method of adding perturbation into their received SRS images,

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Diatomic Fe-Fe catalyst enhances the ability to degrade organic contaminants by nonradical peroxymonosulfate activation system

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Nano Research 2023年第4期16卷 4678-4684页

作者： Minghua Li Jinxing Chen Weiwei Wu Shuangli wu Lili Xu Shaojun Dong College of Chemistry Jilin UniversityChangchun 130012China State Key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchun 130022China University of Science and Technology of China Hefei 230026China

Atomically dispersed catalysts have been widely studied due to their high catalytic activity and atom utilization.Single-atom catalysts have achieved breakthrough progress in the degradation of emerging organic contaminants(EOCs)by activating peroxymonosulfate(PMS).However,the construction of atomically dispersed catalysts with diatomic/multiatomic metal active sites by activating PMS to degrade pollutants is still seldom reported,despite the unique merits of atom-pair in synergistic electronic modulation and breaking stubborn restriction of scaling relations on catalytic activity.We have synthesized Fe1-N-C,Fe_(2)-N-C,and Fe_(3)-N-C catalysts with monoatomic iron,diatomic iron,and triatomic iron active center,respectively.The results show that the catalytic degradation activity of Fe_(2)-N-C is twice that of Fe1-N-C and Fe_(3)-N-C due to its unique Fe_(2)N6 coordination structure,which fulfilled the complete degradation of rhodamine B(RhB),bisphenol A(BPA),and 2,4-dichlorophenol(2,4-DP)within 2 min.Electron paramagnetic resonance(EPR)and radical quenching experiments confirmed that the reaction was a nonradical reaction on the catalyst surface.And singlet oxygen and Fe(IV)are the key active species.

关键词： diatomic catalyst peroxymonosulfate nonradical contaminant

Atomically dispersed hierarchically ordered porous Fe-N-C single-atom nanozymes for dyes degradation

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Nano Research 2023年第8期16卷 10840-10847页

作者： Shuangli wu Weiwei Wu Xinyang Zhu Minghua Li Jianguo Zhao Shaojun Dong Changchun State Key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchun 130022China University of Science and Technology of China Hefei 230026China College of Chemistry Jilin UniversityChangchun 130012China

The development of novel nanozymes for environmental contamination remediation is a worthwhile research direction.However,most of the reported nanozymes cannot degrade efficiently due to the limitation of the internal active sites not being able to come into direct contact with contaminants.Therefore,we reported Fe-N-C single-atom nanozymes(SAzymes)with atomically dispersed FeN4 active sites anchored on a three-dimensional hierarchically ordered microporous-mesoporous-macroporous nitrogen doped carbon matrix(3DOM Fe-N-C)for the degradation of a targeted environmental pollutant(rhodamine B(RhB)).The three-dimensional(3D)hierarchically ordered porous structure may accelerate mass transfer and improve the accessibility of active sites.This structure and high metal atom utilization endow Fe-N-C SAzyme with enhanced tri-enzyme-mimic activities,comprising oxidase-mimic,peroxidase-mimic,and catalase-mimic activities.Based on its excellent peroxidase-mimic activity,3DOM Fe-N-C can degrade RhB by hydroxyl radicals(·OH)generated in the presence of hydrogen peroxide.This study provides a new idea for designing porous Fe-N-C SAzymes for environmental contamination remediation.

关键词： single-atom nanozymes(SAzymes) metal organic frameworks(MOFs) hierarchically ordered porous structure trienzyme mimics environmental contamination remediation

SWG: an architecture for sparse weight gradient computation

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Science China(Information Sciences) 2024年第2期67卷 302-321页

作者： Weiwei Wu Fengbin TU Xiangyu LI Shaojun WEI Shouyi YIN School of Integrated Circuits Tsinghua University Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology

On-device training for deep neural networks(DNN) has become a trend due to various user preferences and scenarios. The DNN training process consists of three phases, feedforward(FF), backpropagation(BP), and weight gradient(WG) update. WG takes about one-third of the computation in the whole training process. Current training accelerators usually ignore the special computation property of WG and process it in a way similar to FF/BP. Besides, the extensive data sparsity existing in WG, which brings opportunities to save computation, is not well explored. Nevertheless, exploiting the optimization opportunities would meet three underutilization problems, which are caused by(1) the mismatch between WG data dimensions and hardware parallelism,(2) the full sparsity, i.e., the sparsity of feature map(Fmap),error map(Emap), and gradient, and(3) the workload imbalance resulting from irregular sparsity. In this paper, we propose a specific architecture for sparse weight gradient(SWG) computation. The architecture is designed based on hierarchical unrolling and sparsity-aware(HUSA) dataflow to exploit the optimization opportunities of the special computation property and full data sparsity. In HUSA dataflow, the data dimensions are unrolled hierarchically on the hardware architecture. A valid-data trace(VDT) mechanism is embedded in the dataflow to avoid the underutilization caused by the two-sided input sparsity. The gradient is unrolled in PE to alleviate the underutilization induced by output sparsity while maintaining the data reuse opportunities. Besides, we design an intra-and inter-column balancer(IIBLC) to dynamically tackle the workload imbalance problem resulting from the irregular sparsity. Experimental results show that with HUSA dataflow exploiting the full sparsity, SWG achieves a speedup of 12.23× over state-of-the-art gradient computation architecture, Train Ware. SWG helps to improve the energy efficiency of the state-of-the-art training accelerator LNPU from 7.56 to 10.58 TOPS/W.

关键词： CNN training gradient computation sparsity architecture

Highly efficient and stable perovskite solar cells with strong hydrophobic barrier via introducing poly(vinylidene fluoride)additive

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Journal of Energy Chemistry 2021年第6期30卷 593-600,I0014页

作者： Haiying Zheng Guozhen Liu Weiwei Wu Huifen Xu Xu Pan Institutes of Physical Science and Information Technology Anhui UniversityHefei 230601AnhuiChina Key Laboratory of Photovoltaic and Energy Conservation Materials Institute of Solid State PhysicsHefei Institutes of Physical ScienceChinese Academy of SciencesHefei 230031AnhuiChina

Perovskite solar cells(PSCs)have become the promising next-generation photovoltaic devices due to their excellent photoelectric performances,and the power conversion efficiencies(PCEs)have experienced unprecedented rapid increase in recent years.However,to realize the practical application of PSCs,high performance and long-term stability are required and the preparation of high-quality perovskite film is the key.Herein,we adopt a simple and effective method to prepare high-quality perovskite films by introducing the poly(vinylidene fluoride)(PVDF)polymer additive with abundant hydrophobic F.As the growth template,the PVDF promotes the growth of perovskite crystal,improves the crystallinity and film morphology,thus reducing defect density and inhibiting carrier recombination.The results show that the photovoltaic performances of the perovskite device with PVDF are meaningfully improved,and a high PCE of 21.42%is achieved with an improvement of 10.87%,More importantly,the PVDF-based perovskites display greatly enhanced humidity and heat stability due to the protection of strong hydrophobic barrier from F and PVDF long chain.Aging at 45%±5%relative humidity(RH)for 2400 h and 850 C for300 h,respectively,the unsealed PVDF devices can maintain over 90%of the initial PCE.It indicates that suitable polymer additives can improve the film quality to acquire high-performance and stable PSCs and lay a foundation to design new perovskite light absorption layer with different polymers for the further development of PSCs.

关键词： Perovskite solar cells Poly(vinylidene fluoride) Polymer additive Hydrophobic barrier Long-term stability

Volatolomics in healthcare and its advanced detection technology

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Nano Research 2022年第9期15卷 8185-8213页

作者： Wenwen Hu Weiwei Wu Yingying Jian Hossam Haick Guangjian Zhang Yun Qian Miaomiao Yuan Mingshui Yao School of Aerospace Science and Technology Xidian UniversityXi’an 730107China Interdisciplinary Research Center of Smart Sensors School of Advanced Materials and NanotechnologyXidian UniversityXi’an 730107China Faculty of Chemical Engineering and Russell Berrie Nanotechnology Institute Technion-Israel Institute of TechnologyHaifa 3200002Israel Department of Thoracic Surgery The First Affiliated Hospital of Xi’an Jiaotong UniversityXi’an 710061China Stomatology Hospital School of StomatologyZhejiang University School of MedicineClinical Research Center for Oral Diseases of Zhejiang Province Key Laboratory of Oral Biomedical Research of Zhejiang ProvinceCancer Center of Zhejiang UniversityHangzhou 310006China The Eighth Affiliated Hospital Sun Yat-sen UniversityShenzhen 518033China State Key Laboratory of Multi-phase Complex Systems Institute of Process EngineeringChinese Academy of SciencesBeijing 310006China Institute for Integrated Cell-Material Sciences Kyoto University Institute for Advanced StudyKyoto UniversityKyoto 606-8501Japan

Various diseases increasingly challenge the health status and life quality of human beings.Volatolome emitted from patients has been considered as a potential family of markers,volatolomics,for diagnosis/screening.There are two fundamental issues of volatolomics in healthcare.On one hand,the solid relationship between the volatolome and specific diseases needs to be clarified and verified.On the other hand,effective methods should be explored for the precise detection of volatolome.Several comprehensive review articles had been published in this field.However,a timely and systematical summary and elaboration is still desired.In this review article,the research methodology of volatolomics in healthcare is critically considered and given out,at first.Then,the sets of volatolome according to specific diseases through different body sources and the analytical instruments for their identifications are systematically summarized.Thirdly,the advanced electronic nose and photonic nose technologies for volatile organic compounds(VOCs)detection are well introduced.The existed obstacles and future perspectives are deeply thought and discussed.This article could give a good guidance to researchers in this interdisciplinary field,not only understanding the cutting-edge detection technologies for doctors(medicinal background),but also making reference to clarify the choice of aimed VOCs during the sensor research for chemists,materials scientists,electronics engineers,etc.

关键词： volatolomics electronic nose disease diagnosis sensor artificial olfaction volatile organic compounds

Reinfection rates among patients previously infected by SARS-CoV-2:systematic review and meta-analysis

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Chinese Medical Journal 2022年第2期135卷 145-152页

作者： Yinjun Mao weiwei Wang Jun Ma Shanshan wu Feng Sun Department of Pharmacy First Affiliated Hospital of Fujian Medical UniversityFuzhouFujian 350005China National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders Beijing Anding HospitalCapital Medical UniversityBeijing 100088China Institute of Basic Medical Sciences Peking University Health Science CenterBeijing 100191China Department of Gastroenterology Beijing Friendship HospitalCapital Medical UniversityNational Clinical Research Center for Digestive DiseaseBeijing Digestive Disease CenterBeijing Key Laboratory for Precancerous Lesion of Digestive DiseaseBeijing100050China Department of Epidemiology and Biostatistics School of Public HealthPeking University Health Science CentreBeijing 100191China

Background:Asymptomatic or symptomatic infection with severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)can be followed by reinfection.The protection conferred by prior infection among coronavirus disease 2019(COVID-19)patients is unclear.We assessed the incidence of SARS-CoV-2 reinfection and the protection effect of previous infection against reinfection.Methods:We searched PubMed,EMBASE,Cochrane,Scopus,Web of Science,and ClinicalTrials.gov for publications up until the end date of May 1,2021.The reinfection rate of recovered patients and the protection against reinfection were analyzed using meta-analysis.Results:Overall,19 studies of 1096 reinfection patients were included.The pooled reinfection rate was 0.65%(95%confidence interval[CI]0.39-0.98%).The symptomatic reinfection rate was a bit lower(0.37%[95%CI 0.11-0.78%],I^(2)=99%).The reinfection rate was much higher in high-risk populations(1.59%[95%CI 0.30-3.88%],I^(2)=90%).The protection against reinfection and symptomatic reinfection was similar(87.02%[95%CI 83.22-89.96%]and 87.17%[95%CI 83.09-90.26%],respectively).Conclusions:The rate of reinfection with SARS-CoV-2 is relatively low.The protection against SARS-CoV-2 after natural infection is comparable to that estimated for vaccine efficacy.These data may help guide public health measures and vaccination strategies in response to the COVID-19 pandemic.High-quality clinical studies are needed to establish the relevant risk factors in recovered patients.

关键词： COVID-19 Reinfection SARS-COV-2 Rate

Success probability orientated optimization model for resource allocation of the technological innovation multi-project system

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Journal of Systems Engineering and Electronics 2016年第6期27卷 1227-1237页

作者： Weixu Dai Weiwei Wu Bo Yu Yunhao Zhu School of Management Harbin Institute of Technology Institute of Spacecraft Systems Engineering China Academy of Space Technology

A success probability orientated optimization model for resource allocation of the technological innovation multi-project system is studied. Based on the definition of the technological innovation multi-project system, the leveling optimization of cost and success probability is set as the objective of resource allocation. The cost function and the probability function of the optimization model are constructed. Then the objective function of the model is constructed and the solving process is explained. The model is applied to the resource allocation of an enterprise's technological innovation multi-project system. The results show that the proposed model is more effective in rational resource allocation, and is more applicable in maximizing the utility of the technological innovation multi-project system. ? 2016 Beijing Institute of Aerospace Information.

关键词： Cost functions Optimization Probability