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Electrolytes additives for Zn metal anodes:regulation mechanism and current perspectives

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Rare Metals 2024年第9期43卷 4162-4197页

作者： Yu-Zhe Zhang huai-sheng Ao Qi Dong shao-Jie Zhang Zhi-Guo hou na-na Wang Xue-song Xie Jian Rong Zhong-Yu Li school of Environmental science and Engineering Changzhou UniversityChangzhou 213164China school of Petrochemical Engineering Changzhou UniversityChangzhou 213164China hefei national Laboratory for Physical science at Microscale School of Chemistry and Materials ScienceUniversity of Science and Technology of ChinaHefei 230026China Institute for superconducting and Electronic Materials Australian Institute for Innovative MaterialsInnovation CampusUniversity of WollongongNorth WollongongNSW 2500Australia Department of Chemical and Materials Engineering University of AlbertaEdmonton AB T6G 1H9Canada

With distinct advantages such as high gravimetric and volumetric capacity(5855 mAh·cm^(-3)and 820mAh·g^(-1)),low redox potential(-0.762 V *** hydrogen electrode(shE)),high abundance,low toxicity and intrinsic safety of Zn metal anode,Zn-ion batteries have become a potential alternative to Li-ion ***,several challenges still need to be addressed prior to the practical applications of Zn-ion batteries,such as dendrite growth during Zn plating/stripping and interfacial side reactions on the Zn *** issues can be addressed by introducing additives to regulate the components and structures of the *** this review,we systematically discussed the core issues of metallic Zn anodes and comprehensively summarized a novel perspective of the regulation mechanism of inhibiting dendrite growth or interfacial side reactions in Zn anodes by introducing additives into aqueous ***,some discussions and prospects for aqueous Zn ion batteries(AZIBs)are presented for future research.

关键词： Electrolyte additives Zn metal anode Regulation mechanism Current perspectives AZIBs

Emerging clinical relevance of microbiome in cancer:promising biomarkers and therapeutic targets

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Protein & Cell 2024年第4期15卷 239-260页

作者： Jia-hao Dai Xi-Rong Tan han Qiao na Liu state Key Laboratory of Oncology in south China Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapyGuangdong Provincial Clinical Research Center for CancerSun Yat-sen University Cancer CenterGuangzhou 510050China

The profound influence of microbiota in cancer initiation and progression has been under the spotlight for years,leading to numerous researches on cancer microbiome entering clinical *** promising biomarkers and therapeutic targets,the critical involvement of microbiota in cancer clinical practice has been increasingly ***,recent progress in this field is *** describe the potential of tumor-associated microbiota as effective diagnostic and prognostic biomarkers,*** addition,we highlight the relationship between microbiota and the therapeutic efficacy,toxicity,or side effects of commonly utilized treatments for cancer,including chemotherapy,radiotherapy,and *** that microbial factors influence the cancer treatment outcome,we further summarize some dominating microbial interventions and discuss the hidden risks of these *** review aims to provide an overview of the applications and advancements of microbes in cancer clinical relevance.

关键词： microbiome cancer diagnosis prognosis therapy

Cascaded ELM-Based Joint Frame synchronization and Channel Estimation over Rician Fading Channel with hardware Imperfections

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China Communications 2024年第6期21卷 87-102页

作者： Qing Chaojin Rao Chuangui Yang na Tang shuhai Wang Jiafan school of Electrical Engineering and Electronic Information Xihua UniversityChengdu 610039China

Due to the interdependency of frame synchronization(Fs)and channel estimation(CE),joint Fs and CE(JFsCE)schemes are proposed to enhance their functionalities and therefore boost the overall performance of wireless communication *** traditional JFsCE schemes alleviate the influence between Fs and CE,they show deficiencies in dealing with hardware imperfection(hI)and deterministic line-of-sight(LOs)*** tackle this challenge,we proposed a cascaded ELM-based JFsCE to alleviate the influence of hI in the scenario of the Rician fading ***,the conventional JFsCE method is first employed to extract the initial features,and thus forms the non-Neural Network(NN)solutions for Fs and CE,***,the ELMbased networks,named Fs-NET and CE-NET,are cascaded to capture the NN solutions of Fs and *** and analysis results show that,compared with the conventional JFsCE methods,the proposed cascaded ELM-based JFsCE significantly reduces the error probability of Fs and the normalized mean square error(NMsE)of CE,even against the impacts of parameter variations.

关键词： channel estimation extreme learning machine frame synchronization hardware imperfection nonlinear distortion synchronization metric

The Adjustment Analysis Method of the Active surface Antenna Based on Convolutional Neural Network

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Research in Astronomy and Astrophysics 2024年第6期24卷 294-306页

作者： You Ban shang shi na Wang Qian Xu shufei Feng school of Mechanical Engineering Xinjiang UniversityUrumqi 830017China Xinjiang Astronomical Observatory Chinese Academy of SciencesUrumqi 830011China school of Mechanical Engineering Dongguan University of TechnologyDongguan 523808China

Active surface technique is one of the key technologies to ensure the reflector accuracy of the millimeter/submillimeter wave large reflector *** antenna is complex,large-scale,and high-precision equipment,and its active surfaces are affected by various factors that are difficult to comprehensively deal *** this paper,based on the advantage of the deep learning method that can be improved through data learning,we propose the active adjustment value analysis method of large reflector antenna based on deep *** method constructs a neural network model for antenna active adjustment analysis in view of the fact that a large reflector antenna consists of multiple panels spliced *** on the constraint that a single actuator has to support multiple panels(usually 4),an autonomously learned neural network emphasis layer module is designed to enhance the adaptability of the active adjustment neural network *** classical 8-meter antenna is used as a case study,the actuators have a mean adjustment error of 0.00252 mm,and the corresponding antenna surface error is0.00523 *** active adjustment result shows the effectiveness of the method in this paper.

关键词： techniques:radar astronomy telescopes methods:analytical methods:numerical

Identification of in situ Generated Iron-Vacancy Induced Oxygen Evolution Reaction Kinetics on Cobalt Iron Oxyhydroxide

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Chinese Journal of Chemistry 2024年第4期42卷 343-350页

作者： na Yao Juan Zhu hongnan Jia hengjiang Cong Wei Luo College of Chemistry and Molecular sciences Wuhan UniversityWuhanHubei430072 China

Developing highly efficient and low-cost electrocatalysts towards oxygen evolution reaction(OER)is essential for practical application in water electrolyzers and rechargeable metal-air *** Fe-based oxyhydroxides are regarded as state-of-the-art non-noble OER electrocatalysts,the origin of performance enhancement derived from Fe doping remains a hot topic of considerable ***,we demonstrate that in situ generated Fe vacancies in the pristine CoFeOOh catalyst through a pre-conversion process during alkaline OER result from dynamic Fe dissolution,identifying the origin of Fe-vacancy-induced enhanced OER *** functional theory(DFT)calculations and experimental results including X-ray absorption fine-structure spectroscopy,in situ UV-Vis spectroscopy,and in situ Raman spectroscopy reveal that the Fe vacancies could significantly promote the d-band center and valence states of adjacent Co sites,alter the active site from Fe atom to Co atom,accelerate the formation of high-valent active Co^(4+)species,and reduce the energy barrier of the potential-determining step,thereby contribute to the significantly enhanced OER performance.

关键词： CoFe oxyhydroxide Oxygen evolution reaction Fe vacancy Electrocatalysis Kinetics Reaction mechanisms

Bilayer borophene:an efficient catalyst for hydrogen evolution reaction

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Frontiers of Chemical science and Engineering 2024年第3期18卷 13-23页

作者： na Xing nan Gao Panbin Ye Xiaowei Yang haifeng Wang Jijun Zhao College of sciences/Xinjiang Production&Construction Corps Key Laboratory of Advanced Energy storage Materials and Technologies Shihezi UniversityShihezi832000China Key Laboratory of Materials Modification by Laser Ion and Electron Beams(Ministry of Education)Dalian University of TechnologyDalian116024China school of Materials science and Engineering Taizhou UniversityTaizhou318000China

The electrocatalytic hydrogen evolution reaction is a crucial technique for green hydrogen ***,finding affordable,stable,and efficient catalyst materials to replace noble metal catalysts remains a significant *** experimental breakthroughs in the synthesis of two-dimensional bilayer borophene provide a theoretical framework for exploring their physical and chemical *** this study,we systematically considered nine types of bilayer borophenes as potential electrocatalysts for the hydrogen evolution *** first-principles calculations revealed that bilayer borophenes exhibit high stability and excellent conductivity,possessing a relatively large specific surface area with abundant active *** surface boron atoms and the bridge sites between two boron atoms can serve as active sites,displaying high activity for the hydrogen evolution ***,the Gibbs free energy change associated with adsorption for these bilayer borophenes can reach as low as−0.002 eV,and the Tafel reaction energy barriers are lower(0.70 eV)than those on ***,the hydrogen evolution reaction activity of these two-dimensional bilayer borophenes can be described by engineering their work ***,we considered the effect of ph on hydrogen evolution reaction activity,with significant activity observed in an acidic *** theoretical results reveal the excellent catalytic performance of two-dimensional bilayer borophenes and provide crucial guidance for the experimental exploration of multilayer boron for various energy applications.

关键词： bilayer borophene hydrogen evolution reaction work function ph effect

Unveiling the performance of a novel alkalizing bacterium Enterobacter ***-2 in immobilization of available Cd

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Journal of Environmental sciences 2024年第3期137卷 245-257页

作者： Yixin Luo Min Liao Xiongxiong Lu na Xu Xiaomei Xie Weiming Gao College of Environmental and Resource science Zhejiang UniversityHangzhou 310058China Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment Hangzhou 310058China national Demonstration Center for Experimental Environmental and Resources Education Zhejiang UniversityHangzhou 310058China

A novel alkalizing strain Enterobacter ***-2 that could resist 400 mg/L Cd was isolated from Cd-contaminated soil,which immobilized 96.05%Cd^(2+)from *** distribution analysis demonstrated that more than half of the Cd^(2+)was converted into extracellular precipitated Cd through mobilization of the alkali-producing mechanism by the strain LYX-2,achieving the high immobilization efficiency of Cd^(2+).Biosorption experiments revealed that strain LYX-2 had superior biosorption capacity of 48.28 mg/g for *** experiments with Brassica rapa *** performed with and without strain *** to control,15.92%bioavailable Cd was converted to non-bioavailable Cd and Cd content in aboveground vegetables was decreased by 37.10%with addition of strain *** Cd was mainly immobilized through extracellular precipitation,cell-surface biosorption and intracellular accumulation of strain LYX-2,which was investigated through Cd distribution,scanning Electron Microscope and Energy-Dispersive X-ray spectroscopy(sEM-EDs),Fourier Transform Infrared spectroscopy(FT-IR),X-ray Photoelectron spectroscopy(XPs)and Transmission Electron Microscopy(TEM)*** addition,the application of strain LYX-2 significantly promoted the growth of vegetables about *** results indicated that highly Cd-resistant alkalizing strain LYX-2,as a novel microbial passivator,had excellent ability and reuse value to achieve the remediation of Cd-contaminated soil coupled with safe production of vegetables simultaneously.

关键词： Cadmium Enterobacter sp.LYX-2 Cd Immobilization Microbial passivator

Interfacial growth of N,s-codoped mesoporous carbon onto biomass-derived carbon for superior potassium-ion storage

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nano Research 2024年第4期17卷 2619-2627页

作者： na huang Cheng Tang hao Jiang Jie sun Aijun Du haijiao Zhang Institute of nanochemistry and nanobiology School of Environmental and Chemical EngineeringShanghai UniversityShanghai 200444China school of Chemistry and Physics and Centre for Materials science Queensland University of TechnologyBrisbaneQLD 4001Australia shanghai Engineering Research Center of hierarchical nanomaterials Frontiers Science Center for Materiobiology and Dynamic ChemistrySchool of Materials Science and EngineeringEast China University of Science and TechnologyShanghai 200237China

Carbonaceous materials have been recognized as one of the most promising anode materials for potassium-ion batteries(PIBs)due to their abundant raw materials,controllable structure,superior conductivity,and good chemical ***,the large radius of K ions and the low potassium content of intercalation compounds result in the sluggish storage kinetics and low reversible capacity of carbon *** this work,we present a unique heteroatom-doped carbon composite(denoted as Ns-MC/sC)through a facile interfacial assembly route and simple heat-treatment process,where Ns-MC is well grafted onto the biomass-derived spore carbon(sC).This unique structural design endows it with abundant mesoporous channels,expanded layer spacing,and highly doped N and *** these merits,the Ns-MC/sC anode in PIBs exhibits a high reversible capacity of 350.4 mAh·g^(-1) at 100 mA·g^(-1) after 300 cycles,and an outstanding cycling ***,in-situ Raman spectra further verify the high reversibility of K ions insertion/***,theoretical simulations also reveal that the N,s dual-doping is an efficient approach for improving the potassium-ion storage performance of Ns-MC/sC.

关键词： mesoporous carbon(MC) biomass-derived carbon(BC) N s co-doping interfacial assembly potassium-ion batteries(PIBs)

Multimodal Fusion of Brain Imaging Data: Methods and Applications

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Machine Intelligence Research 2024年第1期21卷 136-152页

作者： na Luo Weiyang shi Zhengyi Yang Ming song Tianzi Jiang Brainnetome Center and national Laboratory of Pattern Recognition Institute of AutomationChinese Academy of SciencesBeijing 100190China school of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Center for Excellence in Brain science and Intelligence Technology Institute of AutomationChinese Academy of SciencesBeijing 100190China Research Center for Augmented Intelligence Zhejiang LaboratoryHangzhou 311100China

Neuroimaging data typically include multiple modalities,such as structural or functional magnetic resonance imaging,dif-fusion tensor imaging,and positron emission tomography,which provide multiple views for observing and analyzing the *** lever-age the complementary representations of different modalities,multimodal fusion is consequently needed to dig out both inter-modality and intra-modality *** the exploited rich information,it is becoming popular to combine multiple modality data to ex-plore the structural and functional characteristics of the brain in both health and disease *** this paper,we first review a wide spectrum of advanced machine learning methodologies for fusing multimodal brain imaging data,broadly categorized into unsupervised and supervised learning *** by this,some representative applications are discussed,including how they help to under-stand the brain arealization,how they improve the prediction of behavioral phenotypes and brain aging,and how they accelerate the biomarker exploration of brain ***,we discuss some exciting emerging trends and important future ***,we intend to offer a comprehensive overview of brain imaging fusion methods and their successful applications,along with the chal-lenges imposed by multi-scale and big data,which arises an urgent demand on developing new models and platforms.

关键词： Multimodal fusion supervised learning unsupervised learning brain atlas cognition brain disorders