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In-Situ Integration of a Hydrophobic and Fast-Zn2+-Conductive Inorganic Interphase to Stabilize Zn Metal Anodes

Angewandte Chemie 2023年第27期135卷

作者： Mengyu Liu Wentao Yuan Dr. Guoqiang Ma Kaiyue Qiu Dr. Xueyu Nie Prof. Yongchang Liu Prof. Shigang Shen Prof. Ning Zhang College of Chemistry and Materials Science Key Laboratory of Analytical Science and Technology of Hebei Province Hebei University Baoding 071002 P. R. China Contribution: Conceptualization (equal) Data curation (lead) Formal analysis (lead) Investigation (lead) Methodology (equal) Writing - original draft (equal) Contribution: Data curation (equal) Formal analysis (equal) Investigation (equal) Methodology (equal) Software (lead) Validation (equal) Contribution: Formal analysis (equal) Validation (equal) Contribution: Formal analysis (equal) Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and Technology State Key Laboratory for Advanced Metals and Materials University of Science and Technology Beijing Beijing 100083 P. R. China Contribution: Conceptualization (equal) Formal analysis (equal) Funding acquisition (supporting) Resources (equal) Supervision (equal) Writing - review & editing (equal) Contribution: Formal analysis (equal) Resources (equal) Supervision (supporting) Contribution: Conceptualization (lead) Formal analysis (equal) Funding acquisition (lead) Investigation (equal) Methodology (equal) Resources (lead) Supervision (lead) Writing - original draft (lead) Writing - review & editing (lead)

The irreversible issues of Zn anode stemming from dendrite growth and water-induced erosion have severely hindered the commercialization of rechargeable aqueous Zn batteries. Herein, a hydrophobic and fast-Zn 2+ -conductive zinc hexacyanoferrate (HB-ZnHCF) interphase layer is in situ integrated on Zn by a rapid room-temperature wet-chemistry method to address these dilemmas. Different from currently proposed hydrophilic inorganic cases, the hydrophobic and compact HB-ZnHCF interphase effectively prevents the access of water molecules to Zn surface, thus avoiding H 2 evolution and Zn corrosion. Moreover, the HB-ZnHCF with large internal ion channels, strong zincophilicity, and high Zn 2+ transference number (0.86) permits fast Zn 2+ transport and enables smooth Zn deposition. Remarkably, the resultant HB-ZnHCF@Zn electrode delivers unprecedented reversibility with 99.88 % Coulombic efficiency over 3000 cycles, realizes long-term cycling over 5800 h (>8 months, 1 mA cm −2 ) and 1000 h (10 mA cm −2 ), and assures the stable operation of full Zn battery with both coin- and pouch-type configurations.

关键词： Aqueous Zn Battery Hydrophobic Interphase Inorganic Interphase Zinc Hexacyanoferrate Zn Metal Anode

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Access control of cloud users credible behavior based on IPv6 3

Access control of cloud users credible behavior based on IPv...

引用

3rd IEEE International Conference on Big data Analysis, ICBDA 2018

作者： Cao, Sisi Zheng, Wenbo Mo, Shaocong Jin, Xin Dai, Chao Fan, Zeyu Qu, Yili Zhou, Jiangwei Deng, Fei School of Software Engineering Xi'an Jiaotong University Xi'an710049 China College of Computer Science and Technology Zhejiang University Hangzhou310027 China School of Management Huazhong University of Science and Technology Wuhan430074 China Software School Fudan University Shanghai10246 China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu611731 China School of Data and Computer Science Sun Yat-sen University Guangzhou510006 China School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China School of Computer Science and Technology Wuhan University of Technology Wuhan430070 China

ISBN: (纸本)9781538647936

Cloud computing security issues become increasingly serious. Trust is a trust relationship entity acts in accordance with its past experience and interactions built up, may be direct or indirect interaction through a third party recommended interactions. User behavior trust evaluation using AHP, access to users by collecting historical behavior information behavior trust evidence, according to the characteristics of trust evidence will be divided into different trust property among the recalculation by users through analytic hierarchy process and the relative weight of each trust property behavior trust value. Combined with IPv6 protocol, the use of IPv6 extension headers, will assess the value placed header, transmission and validation, so that the program is practical. © 2018 IEEE.

关键词： Cloud computing

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The unified modeling of product identification

The unified modeling of product identification

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2017 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2017

作者： Yu, Hongli Yu, Zhongqing Wang, Kaixi College of Computer Science and Technology Qingdao University Qingdao China College of Data Science and Software Engineering Qingdao University Qingdao China

ISBN: (纸本)9781538628942

Similar product identifications with different brands focus on different aspects, and there are different coding methods of product identification, which brings inconvenience to the data storage and representation during integrating the data from various data sources and increases the difficulty of data query. This paper proposes a data dictionary based XML to define a storage format, which can be extendable as needed;and develops a unified encoding model in XML, which is illustrated by the example of the refrigerator, and defines the parameters concerned by consumers. © 2017 IEEE.

关键词： Standardization

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A mobile cloud-based ehealth scheme

arXiv

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arXiv 2020年

作者： Liu, Yihe Abbasi, Aaqif Afzaal Aghaei, Atefeh Abbasi, Almas Mosavi, Amir Shamshirband, Shahab Al-qaness, Mohammed A.A. Data Recovery Key Laboratory of Sichuan Province College of Computer Science and AI Neijiang Normal University Neijiang641100 China Department of Software Engineering Foundation University Islamabad44000 Pakistan Department of Communication Faculty of Social Sciences University of Tehran Tehran*** Iran Department of Computer Science International Islamic University Islamabad46000 Pakistan Institute of Research and Development Duy Tan University Da Nang550000 Viet Nam Kalman Kando Faculty of Electrical Engineering Obuda University Budapest1034 Hungary School of the Built Environment Oxford Brookes University OxfordOX3 0BP United Kingdom Department for Management of Science and Technology Development Ton Duc Thang University Ho Chi Minh City Viet Nam Faculty of Information Technology Ton Duc Thang University Ho Chi Minh City Viet Nam School of Computer Science Wuhan University Wuhan430072 China

Mobile cloud computing is an emerging field that is gaining popularity across borders at a rapid pace. Similarly, the field of health informatics is also considered as an extremely important field. This work observes the collaboration between these two fields to solve the traditional problem of extracting Electrocardiogram signals from trace reports and then performing analysis. The developed system has two front ends, the first dedicated for the user to perform the photographing of the trace report. Once the photographing is complete, mobile computing is used to extract the signal. Once the signal is extracted, it is uploaded into the server and further analysis is performed on the signal in the cloud. Once this is done, the second interface, intended for the use of the physician, can download and view the trace from the cloud. The data is securely held using a password-based authentication method. The system presented here is one of the first attempts at delivering the total solution, and after further upgrades, it will be possible to deploy the system in a commercial *** Codes 68T05 Copyright © 2020, The Authors. All rights reserved.

关键词： Signal analysis

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Weight Learning in Weighted ELM Classification Model Based on Genetic Algorithms

Weight Learning in Weighted ELM Classification Model Based o...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Peng Yao Xi-Zhao Wang Big Data Institute College of Computer Science and Software Engineering Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen Guangdong China

ISBN: (纸本)9781538652152

In cost sensitive classification problems we often suppose to have a known cost matrix in which each element represents the cost of mistakenly classifying an object from one class into another. Weighted least square, which does not equally consider individual classes and therefore assigns a different weight to each class of samples, is a typical approach to dealing with cost sensitive classification problems. Theoretically and experimentally it is confirmed that reasonable class weights will greatly improve classification ability of a learning model. Unfortunately we only know that these weights depend generally on cost matrix but very few methods can be used to specifically determine these weights according to cost matrix. This paper proposes a weighted least square (WLS) model of random weight network and then successfully uses the model in cost sensitive classification. A genetic algorithm to determine weights of different sample classes based on a cost matrix is given. Model analysis and experimental simulations are conducted. Considering the total misclassification cost as the evaluation index, a comparative study shows that our WLS model is far superior to the existing cost sensitive ELM and cost sensitive naive Bayes models.

关键词： Training Genetic algorithms data models Analytical models Indexes Support vector machines Decision trees

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Boosting Reactive Oxygen Species Generation Using Inter-Facet Edge Rich WO3Arrays for Photoelectrochemical Conversion

引用

Angewandte Chemie 2022年第1期135卷

作者： He Li Cheng Lin Yilong Yang Chaoran Dong Prof. Yulin Min Prof. Xiaoqin Shi Prof. Luyang Wang Prof. Siyu Lu Prof. Kan Zhang School of Materials Science and Engineering and School of Chemistry and Chemical Engineering Nanjing University of Science and Technology Nanjing 210094 China Contribution: Data curation (lead) Investigation (equal) Methodology (equal) Writing - original draft (equal) Contribution: Investigation (lead) Methodology (equal) Writing - original draft (equal) Contribution: Formal analysis (equal) Shanghai Key Laboratory of Materials Protection and Advanced Materials in Electric Power Shanghai University of Electric Power Shanghai 200090 P. R. China Contribution: Investigation (supporting) Writing - review & editing (supporting) Contribution: Software (lead) College of New Materials and New Energies Shenzhen Technology University Shenzhen Guangdong 518118 P. R. China Contribution: Methodology (supporting) Supervision (supporting) Writing - review & editing (supporting) Green Catalysis Center and College of Chemistry Zhengzhou University Zhengzhou 450000 P. R. China Contribution: Supervision (equal) Contribution: Supervision (lead) Writing - review & editing (lead)

Water oxidation reaction leaves room to be improved in the development of various solar fuel productions, because of the kinetically sluggish 4-electron transfer process of oxygen evolution reaction. In this work, we realize reactive oxygen species (ROS), H 2 O 2 and OH⋅, formations by water oxidation with total Faraday efficiencies of more than 90 % by using inter-facet edge (IFE) rich WO 3 arrays in an electrolyte containing CO 3 2− . Our results demonstrate that the IFE favors the adsorption of CO 3 2− while reducing the adsorption energy of OH⋅, as well as suppresses surface hole accumulation by direct 1-electron and indirect 2-electron transfer pathways. Finally, we present selective oxidation of benzyl alcohol by in situ using the formed OH⋅, which delivers a benzaldehyde production rate of ≈768 μmol h −1 with near 100 % selectivity. This work offers a promising approach to tune or control the oxidation reaction in an aqueous solar fuel system towards high efficiency and value-added product.

关键词： Charge Transfer Oxygenation Photocatalysis Radicals Water Splitting

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Soil fungal and bacterial communities are altered by the incorporation of leaf litter containing a fungal endophyte

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European Journal of Soil science 2022年第3期73卷

作者： Yuanyuan Jin Xuekai Wei James F. White Taixiang Chen Xiuzhang Li Zhenjiang Chen Chunjie Li State Key Laboratory of Grassland Agro-ecosystems Lanzhou University Lanzhou China Key Laboratory of Grassland Livestock Industry Innovation Ministry of Agriculture and Rural Affairs Lanzhou China Engineering Research Center of Grassland Industry Ministry of Education Lanzhou China Gansu Tech Innovation Centre of Western China Grassland Industry Lanzhou China Centre for Grassland Microbiome Lanzhou University Lanzhou China College of Pastoral Agriculture Science and Technology Lanzhou University Lanzhou China Contribution: Conceptualization (lead) Data curation (equal) Formal analysis (equal) Investigation (equal) Methodology (equal) Software (equal) Visualization (equal) Writing - original draft (equal) Contribution: Data curation (equal) Formal analysis (equal) Methodology (equal) Resources (equal) Software (equal) Writing - original draft (equal) Department of Plant Biology Rutgers University New Brunswick New Jersey USA Contribution: Funding acquisition (supporting) Validation (supporting) Writing - review & editing (lead) Contribution: Software (supporting) Writing - review & editing (supporting) Qinghai Academy of Animal and Veterinary Science Qinghai University Xining China Contribution: Methodology (supporting) Visualization (supporting) Writing - review & editing (equal) Contribution: Funding acquisition (supporting) Project administration (supporting) Writing - review & editing (supporting) Contribution: Funding acquisition (lead) Project administration (lead) Resources (supporting) Writing - review & editing (lead)

Litter decomposition plays a key role in nutrient cycling across ecosystems. The presence of Epichloë endophytes in grass plants affects litter decomposition. The overall effects of leaf litter containing Epichloë endophytes on the chemical and biological properties in non-rhizosphere soils have not previously been examined. The current study is aimed to understand the effect of direct incorporation of leaf litter from Epichloë endophyte-infected perennial ryegrass ( Lolium perenne ) on soil chemical characteristics, and fungal and bacterial biodiversity. Firstly, fresh leaf litter of the endophyte Epichloë festucae var. lolii -infected (E+) and endophyte-free (E−) L. perenne were incorporated into the soil, and then samples were collected from E+ and E− litter incorporated soil at T 0 , T 1 , T 2 and T 3 (0, 120, 240 and 360 days) for chemical and sequencing analyses. The Epichloë -containing leaf litter incorporation changed the soil microbial environment by enhancing the soil organic carbon (SOC), total nitrogen (TN), total phosphorus, NH 4 + –N and NO 3 − –N contents, and acidifying soil pH. The endophyte had stronger effects on soil bacteria than soil fungi when the litter was determined with and without the endophyte. Litter containing the Epichloë endophyte significantly increased the absolute abundance of the 16S rRNA gene and relative abundances of the Actinobacteria, Nitrospirae and Gemmatimonadetes, while significantly decreasing the relative abundances of the Planctomycetes and Rokubacteria and the diversity in soil bacteria community. There was no significant effect of endophyte-containing leaf litter incorporation on the absolute abundance and diversity of the soil fungal community except the increment in the relative abundance of Rozellomycota. Soil pH and the SOC-to-TN ratio (C:N) were the main factors influencing the soil bacterial community, and the presence of E. festucae var. lolii was directly and positively related to the soil bacterial diversi

关键词： amplicon sequencing Epichloë festucae var lolii litter incorporation Lolium perenne soil fungi and bacteria

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Semi-supervised dictionary learning with label propagation for image classification

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Computational Visual Media 2017年第1期3卷 83-94页

作者： Lin Chen Meng Yang College of Computer Science and Software Engineering Shenzhen UniversityShenzhenChina School of Data and Computer Science Sun Yat-sen UniversityGuangzhouChina Key Laboratory of Machine Intelligence and Advanced Computing(Sun Yat-sen University) Ministry of EducationChina

Sparse coding and supervised dictionary learning have rapidly developed in recent years,and achieved impressive performance in image classification. However, there is usually a limited number of labeled training samples and a huge amount of unlabeled data in practical image classification,which degrades the discrimination of the learned dictionary. How to effectively utilize unlabeled training data and explore the information hidden in unlabeled data has drawn much attention of researchers. In this paper, we propose a novel discriminative semisupervised dictionary learning method using label propagation(SSD-LP). Specifically, we utilize a label propagation algorithm based on class-specific reconstruction errors to accurately estimate the identities of unlabeled training samples, and develop an algorithm for optimizing the discriminative dictionary and discriminative coding vectors *** experiments on face recognition, digit recognition, and texture classification demonstrate the effectiveness of the proposed method.

关键词： semi-supervised learning dictionary learning label propagation image classification

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The SCIP optimization suite 8.0

arXiv

引用

arXiv 2021年

作者： Bestuzheva, Ksenia Besançon, Mathieu Chen, Wei-Kun Chmiela, Antonia Donkiewicz, Tim Van Doornmalen, Jasper Eifler, Leon Gaul, Oliver Gamrath, Gerald Gleixner, Ambros Gottwald, Leona Graczyk, Christoph Halbig, Katrin Hoen, Alexander Hojny, Christopher Van Der Hulst, Rolf Koch, Thorsten Lübbecke, Marco Maher, Stephen J. Matter, Frederic Mühmer, Erik Müller, Benjamin Pfetsch, Marc E. Rehfeldt, Daniel Schlein, Steffan Schlösser, Franziska Serrano, Felipe Shinano, Yuji Sofranac, Boro Turner, Mark Vigerske, Stefan Wegscheider, Fabian Wellner, Philipp Weninger, Dieter Witzig, Jakob Zuse Institute Berlin Department AIS2T Takustr. 7 Berlin14195 Germany School of Mathematics and Statistics Beijing Institute of Technology Beijing100081 China RWTH Aachen University Lehrstuhl für Operations Research Kackertstr. 7 Aachen52072 Germany Technische Universiteit Eindhoven Department of Mathematics and Computer Science P.O. Box 513 Eindhoven5600 MB Netherlands I2DAMO GmbH Englerallee 19 Berlin14195 Germany Friedrich-Alexander Universität Erlangen-Nürnberg Department of Data Science Cauerstr. 11 Erlangen91058 Germany University of Twente Department of Discrete Mathematics and Mathematical Programming P.O. Box 217 Enschede7500 AE Netherlands Technische Universität Berlin Software and Algorithms for Discrete Optimization Straße des 17. Juni 135 Berlin10623 Germany Zuse Institute Berlin Department A2IM Takustr. 7 Berlin14195 Germany University of Exeter College of Engineering Mathematics and Physical Sciences Exeter United Kingdom Technische Universität Darmstadt Fachbereich Mathematik Dolivostr. 15 Darmstadt64293 Germany Technische Universität Berlin Straße des 17. Juni 135 Berlin10623 Germany Software and Algorithms for Discrete Optimization Institute of Mathematics Technische Universität Berlin Straße des 17. Juni 135 Berlin10623 Germany GAMS Software GmbH C/o Zuse Institute Berlin Department AIS2T Takustr. 7 Berlin14195 Germany

The SCIP Optimization Suite provides a collection of software packages for mathematical optimization centered around the constraint integer programming framework SCIP. This paper discusses enhancements and extensions contained in version 8.0 of the SCIP Optimization Suite. Major updates in SCIP include improvements in symmetry handling and decomposition algorithms, new cutting planes, a new plugin type for cut selection, and a complete rework of the way nonlinear constraints are handled. Additionally, SCIP 8.0 now supports interfaces for Julia as well as Matlab. Further, UG now includes a unified framework to parallelize all solvers, a utility to analyze computational experiments has been added to GCG, dual solutions can be postsolved by PaPILO, new heuristics and presolving methods were added to SCIP-SDP, and additional problem classes and major performance improvements are available in *** Codes 90C05, 90C10, 90C11, 90C30, 90C90, 65Y05 Copyright © 2021, The Authors. All rights reserved.

关键词： Integer programming

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An Activatable and Reversible Virus-Mimicking NIR-II Nanoprobe for Monitoring the Progression of Viral Encephalitis

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Angewandte Chemie 2022年第39期134卷

作者： Hua-Jie Chen Ying Qin Dr. Zhi-Gang Wang Lei Wang Prof. Dai-Wen Pang Prof. Dongbing Zhao Prof. Shu-Lin Liu Engineering Research Center of Nano-Geomaterials of Ministry of Education Faculty of Materials Science and Chemistry China University of Geosciences Wuhan 430074 P. R. China Contribution: Conceptualization (lead) Data curation (lead) Formal analysis (lead) Methodology (lead) Writing - original draft (equal) State Key Laboratory of Medicinal Chemical Biology Frontiers Science Centre for New Organic Matter Tianjin Key Laboratory of Biosensing and Molecular Recognition Research Centre for Analytical Sciences College of Chemistry and School of Medicine Nankai University Tianjin 300071 P. R. China Contribution: Methodology (supporting) Resources (equal) Validation (equal) Contribution: Data curation (supporting) Funding acquisition (supporting) Investigation (supporting) Methodology (supporting) Supervision (supporting) Writing - original draft (supporting) Contribution: Methodology (supporting) Resources (supporting) Software (supporting) Contribution: Data curation (supporting) Resources (supporting) Contribution: Project administration (equal) Resources (equal) Supervision (lead) Writing - review & editing (equal) Contribution: Conceptualization (equal) Funding acquisition (lead) Project administration (lead) Supervision (lead) Validation (lead) Writing - original draft (lead) Writing - review & editing (equal)

Viral encephalitis is an inflammatory disease of the brain parenchyma and caused by various viral infections. In vivo monitoring of the progression of viral infections can aid accurate diagnosis of viral encephalitis and effective intervention. We developed an activatable and reversible virus-mimicking near-infrared II nanoprobe consisting of an Fe 2+ -coordinated, viral protein-decorated vesicle encapsulating PbS quantum dots with a 1300 nm fluorescence emission. The probe can cross the blood–brain barrier and monitor real-time changes in reactive oxygen and nitrogen species concentrations during viral infection by tuning the quenching level of quantum dots and regulating the fusion–fission behavior of vesicles via changes in Fe oxidation state. This switching strategy reduces background noise and improves detection sensitivity, making this nanoprobe a promising imaging agent for dynamic visualization of viral encephalitis and future clinical applications.

关键词： Bioimaging Quantum Dots Second Near-Infrared Window Viral Encephalitis Virus-Mimicking

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