Single-atom catalysts(SACs)have gained substantial attention because of their exceptional catalytic properties.However,the high surface energy limits their synthesis,thus creating significant challenges for further de...Single-atom catalysts(SACs)have gained substantial attention because of their exceptional catalytic properties.However,the high surface energy limits their synthesis,thus creating significant challenges for further development.In the last few years,metal–organic frameworks(MOFs)have received significant consideration as ideal candidates for synthesizing SACs due to their tailorable chemistry,tunable morphologies,high porosity,and chemical/thermal stability.From this perspective,this review thoroughly summarizes the previously reported methods and possible future approaches for constructing MOF-based(MOF-derived-supported and MOF-supported)SACs.Then,MOF-based SAC's identification techniques are briefly assessed to understand their coordination environments,local electronic structures,spatial distributions,and catalytic/electrochemical reaction mechanisms.This review systematically highlights several photocatalytic and electrocatalytic applications of MOF-based SACs for energy conversion and storage,including hydrogen evolution reactions,oxygen evolution reactions,O_(2)/CO_(2)/N_(2) reduction reactions,fuel cells,and rechargeable batteries.Some light is also shed on the future development of this highly exciting field by highlighting the advantages and limitations of MOF-based SACs.展开更多
AIM: To compare prevalence rates of non-alcoholic fatty liver disease (NAFLD) between Hispanics of Mexican origin and Hispanics of Dominican and Puerto Rican origin.
Oscillations in cytosolic free calcium determine the polarity of tip-growing root hairs.The Ca2+channel cyclic nucleotide gated channel 14(CNGC14)contributes to the dynamic changes in Ca^2+concentration gradient at th...Oscillations in cytosolic free calcium determine the polarity of tip-growing root hairs.The Ca2+channel cyclic nucleotide gated channel 14(CNGC14)contributes to the dynamic changes in Ca^2+concentration gradient at the root hair tip.However,the mechanisms that regulate CNGC14 are unknown.In this study,we detected a direct interaction between calmodulin 7(CaM7)and CNGC14 through yeast two-hybrid and bimolecular fluorescence complementation assays.We demonstrated that the third EF-hand domain of CaM7 specifically interacts with the cytosolic C-terminal domain of CNGC14.A two-electrode voltage clamp assay showed that CaM7 completely inhibitsCNGC14-mediated Ca2+influx,suggesting that CaM7 neg-atively regulates CNGC14-mediated calcium signaling.Fur-thermore,CaM7 overexpressing lines phenocopy the short root hair phenotype of a cngc14 mutant and this phenotype is insensitive to changes in external Ca^2+concentrations.We,thus,identified CaM7-CNGC14 as a novel interacting module that regulates polar growth in root hairs by con-trolling the tip-focused Ca2+signal.展开更多
To date,Co-based metal-organic frameworks(Co-MOFs)have drawn much attention owing to their advantages of easy preparation,high porosity and adjustable structure.Because of these enticing properties,numerous efforts ha...To date,Co-based metal-organic frameworks(Co-MOFs)have drawn much attention owing to their advantages of easy preparation,high porosity and adjustable structure.Because of these enticing properties,numerous efforts have been devoted to their applications in energy storage and conversion.However,poor conductivity has become one of the biggest obstacles for large-scale use of pristine Co-MOFs.Subsequently,many attempts have been carried out to develop various Co-MOF derived materials as electrodes for rechargeable batteries in order to address the above-mentioned shortcoming and to enhance the electrical conductivity with improved stability during cycling.Moreover,in addition to improvement of Li-ion batteries in practical utilization,seeking for other rechargeable batteries is another urgent task due to the high cost and limited sources of metallic Li.Herein,by following the recent research progress,this review provides an overview of applications of Co-MOF derived materials in various rechargeable batteries including lithium-ion batteries,sodium-ion batteries,lithium-sulfur batteries,zinc air batteries and other rechargeable batteries,where they have been utilized as cathodes,anodes,separators and electrocatalysts.Accordingly,we categorize and compare the morphology driven electrochemical performance of various Co-MOF derivatives including porous carbon,cobalt oxides,cobalt chalcogenides,cobalt phosphides and corresponding composites.Finally,current challenges for large-scale production and commercialization of Co-MOF derived materials as well as some reasonable solutions have been discussed at the end.展开更多
The submicron particulate matter(PM_(1))and fine particulate matter(PM_(2.5))are very important due to their greater adverse impacts on the natural environment and human health.In this study,the daily PM_(1) and PM_(2...The submicron particulate matter(PM_(1))and fine particulate matter(PM_(2.5))are very important due to their greater adverse impacts on the natural environment and human health.In this study,the daily PM_(1) and PM_(2.5) samples were collected during early summer 2018 at a sub-urban site in the urban-industrial port city of Tianjin,China.The collected samples were analyzed for the carbonaceous fractions,inorganic ions,elemental species,and specific marker sugar species.The chemical characterization of PM_(1) and PM_(2.5) was based on their concentrations,compositions,and characteristic ratios(PM_(1)/PM_(2.5),AE/CE,NO3^-/SO4^2-,OC/EC,SOC/OC,OM/TCA,K^+/EC,levoglucosan/K^+,V/Cu,and V/Ni).The average concentrations of PM_(1) and PM_(2.5) were 32.4μg/m and 53.3μg/m^3,and PM_(1) constituted 63%of PM_(2.5) on average.The source apportionment of PM_(1) and PM_(2.5) by positive matrix factorization(PMF)model indicated the main sources of secondary aerosols(25%and 34%),biomass burning(17%and 20%),traffic emission(20%and 14%),and coal combustion(17%and 14%).The biomass burning factor involved agricultural fertilization and waste incineration.The biomass burning and primary biogenic contributions were determined by specific marker sugar species.The anthropogenic sources(combustion,secondary particle formation,etc)contributed significantly to PM_(1) and PM_(2.5),and the natural sources were more evident in PM_(2.5).This work significantly contributes to the chemical characterization and source apportionment of PM_(1) and PM_(2.5) in near-port cities influenced by the diverse sources.展开更多
Background:Metal oxide(MO)nanomaterials and related nanocomposites have been extensively studied for their potential use in water treatment.Because of their controlled morphologies,texture qualities,variable surface c...Background:Metal oxide(MO)nanomaterials and related nanocomposites have been extensively studied for their potential use in water treatment.Because of their controlled morphologies,texture qualities,variable surface chemistry,distinct crystalline nature,high stability,and tunable band edges,MO nanostructured materials are highly selective towards deleting organic contaminants and heavy metal ions via adsorption and semiconductor photocatalysis.Metal-enhanced photocatalysis has recently received increasing interest,mainly due to the ability of the metal to directly or indirectly degrade pollutants.A diverse selection of MOs,with titanium dioxide(Ti O2),zinc oxide(Zn O),iron oxides(IO),and tungsten(W),as well as graphene-MOs nanocomposites with variable structure,crystalline,and morphological properties,offers a powerful platform for the growth of effective catalysts.Methods:The current work discusses novel advancements and potential for the removal of adsorptive and photocatalytic degradation of organic compounds(phenolic,pesticide molecules,dyes,and so on)as well as heavy metal ions using semiconductor materials.A photocatalyst based on a MO-scheme heterostructure can manage the appropriate conduction band(CB)and valence band(VB)locations,securing considerable redox aptitude.This review should be of interest to the broad readership dealing with applied and fundamental aspects of water treatments and material sciences.Various strategies including surface modification,plasmonic enhancement,and metal cocatalysts have been introduced to enhance photocatalytic performance.Significant findings:The current article discussed the significantly utilized synthesis strategies and mechanism of heterojunction photocatalysts using a Z-scheme.Furthermore,adsorption sections guarantee that mercury,chromium,cadmium,arsenic,and lead-based ions are successfully removed from polluted water via the adsorption route.Numerous characteristics,such as concentration,coexisting ions,p H,and kind of chemical have converged to comprehend the 展开更多
Social media(SM)based surveillance systems,combined with machine learning(ML)and deep learning(DL)techniques,have shown potential for early detection of epidemic outbreaks.This review discusses the current state of SM...Social media(SM)based surveillance systems,combined with machine learning(ML)and deep learning(DL)techniques,have shown potential for early detection of epidemic outbreaks.This review discusses the current state of SM-based surveillance methods for early epidemic outbreaks and the role of ML and DL in enhancing their performance.Since,every year,a large amount of data related to epidemic outbreaks,particularly Twitter data is generated by SM.This paper outlines the theme of SM analysis for tracking health-related issues and detecting epidemic outbreaks in SM,along with the ML and DL techniques that have been configured for the detection of epidemic outbreaks.DL has emerged as a promising ML technique that adaptsmultiple layers of representations or features of the data and yields state-of-the-art extrapolation results.In recent years,along with the success of ML and DL in many other application domains,both ML and DL are also popularly used in SM analysis.This paper aims to provide an overview of epidemic outbreaks in SM and then outlines a comprehensive analysis of ML and DL approaches and their existing applications in SM analysis.Finally,this review serves the purpose of offering suggestions,ideas,and proposals,along with highlighting the ongoing challenges in the field of early outbreak detection that still need to be addressed.展开更多
Unsatisfactory conductivity and volume effects have hindered the commercial application of siliconbased materials as advanced anode materials for high-performance lithium-ion batteries. Herein, nitrogen doped carbon s...Unsatisfactory conductivity and volume effects have hindered the commercial application of siliconbased materials as advanced anode materials for high-performance lithium-ion batteries. Herein, nitrogen doped carbon silicon matrix composite with atomically dispersed Co sites(Si/Co-N-C) is obtained via the design of the frame structure loaded with nano-components and the multi-element hybrid strategy. Co atoms are uniformly fixed to the N-C frame and tightly packed with nanoscale silicon particles as an activation and protection building block. The mechanism of the N-C framework of loaded metal Co in the Si alloying process is revealed by electrochemical kinetic analysis and ex situ characterization tests.Impressively, the nitrogen-doped Co site activates the intercalation of the outer carbon matrix to supplement the additional capacity. The Co nanoparticles with high conductivity and support enhance the conductivity and structural stability of the composite, accelerating the Li^(+)/Na^(+) diffusion kinetics. Density functional theory(DFT) calculation confirms that the hetero-structure Si/Co-N-C adjusts the electronic structure to obtain good lithium-ion adsorption energy, reduces the Li^(+)/Na^(+) migration energy barrier.This work provides meaningful guidance for the development of high-performance metal/non-metal modified anode materials.展开更多
Two new nor-ent-halimane diterpenes and three previously unreported nor-clerodane diterpenes,designated callicain-tides A-E(1-5),were isolated from Callicarpa integerrima.Compounds 1 and 2 feature a distinctive 5/6-me...Two new nor-ent-halimane diterpenes and three previously unreported nor-clerodane diterpenes,designated callicain-tides A-E(1-5),were isolated from Callicarpa integerrima.Compounds 1 and 2 feature a distinctive 5/6-membered ring system,while compounds 3-5 are characterized by progressively truncated carbon skeletons,containing 18,17,and 16 carbons,respectively.In addition,four known compounds 6-9 were also identified.Their structures were elucidated using advanced spectroscopic tech-niques,including nuclear magnetic resonance(NMR),high-resolution electrospray ionization mass spectrometry(HR-ESI-MS),ultra-violet(UV),infrared radiation(IR),optical rotatory dispersion(ORD),DP4+analysis and electronic circular dichroism(ECD),sup-ported by quantum chemical calculations.Compounds 1-9 were evaluated for their anti-MRSA activity.Among them,compound 6 demonstrated significant anti-MRSA activity,with a minimum inhibitory concentration(MIC)of 16 μg·mL^(-1).展开更多
Aqueous organic redox flow batteries(RFBs)exhibit favorable characteristics,such as tunability,multielectron transfer capability,and stability of the redox active molecules utilized as anolytes and catholytes,making t...Aqueous organic redox flow batteries(RFBs)exhibit favorable characteristics,such as tunability,multielectron transfer capability,and stability of the redox active molecules utilized as anolytes and catholytes,making them very viable contenders for large-scale grid storage applications.Considerable attention has been paid on the development of efficient redox-active molecules and their performance optimization through chemical substitutions at various places on the backbone as part of the pursuit for high-performance RFBs.Despite the fact that electrodes are vital to optimal performance,they have not garnered significant attention.Limited research has been conducted on the effects of electrode modifications to improve the performance of RFBs.The primary emphasis has been given on the impact of electrode engineering to augment the efficiency of aqueous organic RFBs.An overview of electron transfer at the electrode-electrolyte interface is provided.The implications of electrode modification on the performance of redox flow batteries,with a particular focus on the anodic and cathodic half-cells separately,are then discussed.In each section,significant discrepancies surrounding the effects of electrode engineering are thoroughly examined and discussed.Finally,we have presented a comprehensive assessment along with our perspectives on the future trajectory.展开更多
Ulva prolifera is the most common specie causative to green tide,and its growth is sensitive to temperature stress.However,the mechanisms of U.prolifera response to temperature stress remain elusive.In this study,high...Ulva prolifera is the most common specie causative to green tide,and its growth is sensitive to temperature stress.However,the mechanisms of U.prolifera response to temperature stress remain elusive.In this study,high temperature(36℃)stimulus promoted the death of unformed cell wall protoplasts and delayed the division of formed cell wall protoplasts,while low-temperature(4℃)stimulus did not,suggesting that the mechanisms of the response of U.prolifera to high and low temperature stresses are different.Transcriptome results show that proliferation-related genes were differentially expressed under high and low-temperature stresses,especially the proliferating cell nuclear antigen(PCNA)and cyclins(CYCs).Subsequently,the interaction between PCNA and Cyclin A was confirmed by Co-immunoprecipitation,yeast two-hybrid,and so on.Furthermore,high-and low temperature stresses induced the expression of PCNA and Cyclin A in varying of degrees,and activated extracellular signal-regulated kinase(ERK)signal pathway.These results suggest,PCNA,Cyclin A,and ERK signal pathway played important roles in the resistance of U.prolifera to temperature stress.Interestingly,high-temperature stress induced an increase of miR-2916 in abundance,and exhibiting reverse expression of PCNA;and PCNA was target gene of miR-2916,suggesting that miR-2916 protected U.prolifera from high-temperature stress via post-transcriptionally regulation of PCNA.This study laid a foundation for understanding the function of PCNA and Cyclin A,moreover,it has a guiding significance to explore the mechanisms of the response to temperature stress from proliferation-related genes regulatory networks in U.prolifera.展开更多
Missing value is one of the main factors that cause dirty data.Without high-quality data,there will be no reliable analysis results and precise decision-making.Therefore,the data warehouse needs to integrate high-qual...Missing value is one of the main factors that cause dirty data.Without high-quality data,there will be no reliable analysis results and precise decision-making.Therefore,the data warehouse needs to integrate high-quality data consistently.In the power system,the electricity consumption data of some large users cannot be normally collected resulting in missing data,which affects the calculation of power supply and eventually leads to a large error in the daily power line loss rate.For the problem of missing electricity consumption data,this study proposes a group method of data handling(GMDH)based data interpolation method in distribution power networks and applies it in the analysis of actually collected electricity data.First,the dependent and independent variables are defined from the original data,and the upper and lower limits of missing values are determined according to prior knowledge or existing data information.All missing data are randomly interpolated within the upper and lower limits.Then,the GMDH network is established to obtain the optimal complexity model,which is used to predict the missing data to replace the last imputed electricity consumption data.At last,this process is implemented iteratively until the missing values do not change.Under a relatively small noise level(α=0.25),the proposed approach achieves a maximum error of no more than 0.605%.Experimental findings demonstrate the efficacy and feasibility of the proposed approach,which realizes the transformation from incomplete data to complete data.Also,this proposed data interpolation approach provides a strong basis for the electricity theft diagnosis and metering fault analysis of electricity enterprises.展开更多
Male infertility is a worldwide health issue,affecting 8%–12%of the global population.Oligoasthenoteratozoospermia(OAT)represents a severe type of male infertility,characterized by reduced sperm count and motility an...Male infertility is a worldwide health issue,affecting 8%–12%of the global population.Oligoasthenoteratozoospermia(OAT)represents a severe type of male infertility,characterized by reduced sperm count and motility and an increased frequency of sperm with aberrant morphology.Using whole-exome sequencing,this study identified a novel missense mutation(c.848C>A,p.A283E)in the coiled-coil domain-containing 34 gene(CCDC34)in a consanguineous Pakistani family.This rare mutation was predicted to be deleterious and to affect the protein stability.Hematoxylin and eosin staining of spermatozoa from the patient with OAT revealed multiple morphological abnormalities of the flagella and transmission electron microscopy indicated axonemal ultrastructural defects with a lack of outer dynein arms.These findings indicated that CCDC34 plays a role in maintaining the axonemal ultrastructure and the assembly or stability of the outer dynein arms,thus expanding the phenotypic spectrum of CCDC34 missense mutations.展开更多
Social media platforms have lately emerged as a promising tool for predicting the outbreak of epidemics by analyzing information on them with the help of machine learning techniques.Many analytical and statistical mod...Social media platforms have lately emerged as a promising tool for predicting the outbreak of epidemics by analyzing information on them with the help of machine learning techniques.Many analytical and statistical models are available to infer a variety of user sentiments in posts on social media.The amount of data generated by social media platforms,such as Twitter,that can be used to track diseases is increasing rapidly.This paper proposes a method for the classication of tweets related to the outbreak of dengue using machine learning algorithms.An articial neural network(ANN)-based method is developed using Global Vector(GloVe)embedding to use the data in tweets for the automatic and efcient identication and classication of dengue.The proposed method classies tweets related to the outbreak of dengue into positives and negatives.Experiments were conducted to assess the proposed ANN model based on performance evaluation matrices(confusion matrices).The results show that the GloVe vectors can efciently capture a sufcient amount of information for the classier to accurately identify and classify tweets as relevant or irrelevant to dengue outbreaks.The proposed method can help healthcare professionals and researchers track and analyze epidemic outbreaks through social media in real time.展开更多
Rational manipulation of multicomponent materials into a sophisticated architecture is a prerequisite for developing lithium‐ion batteries.However,mechanical diffusion‐induced strain accumulation leads to sluggish d...Rational manipulation of multicomponent materials into a sophisticated architecture is a prerequisite for developing lithium‐ion batteries.However,mechanical diffusion‐induced strain accumulation leads to sluggish diffusion kinetics and anomalous structure instability,further resulting in inferior long‐term cyclability and rate performance.Herein,the von Mises stress distribution on open microcages composed of secondary nanoparticles(OCNs)is mechanically investigated by finite element simulation,which elucidates the pronounced stress‐release effect on OCNs architecture.Afterward,a facile metal–organic framework‐derived methodology is proposed for constructing multihierarchical carbon‐encapsulated oxygen vacancy‐enriched MnO/Ni OCNs(OV‐MnO/Ni OCNs).Due to structural and compositional integration,the OV‐MnO/Ni OCNs achieve extraordinary lithium storage performance with excellent reversible capacity(1905.1 mAh g^(−1) at 0.2 A g^(−1)),ultrahigh cycling stability(1653.5 mAh g^(−1) at 2 A g^(−1) up to 600 cycles),and considerable rate capability(463.3 mAh g^(−1) even at 10 A g^(−1)).The primary lithium storage mechanisms are further systematically determined by experimental and theoretical investigations.The enriched oxygen vacancies,metallic Ni configuration,and N‐doped carbonaceous matrix provide more active sites,construct omnidirectional diffusion pathways,suppress volume expansion,and boost electronic conductivity,thus yielding an exceptional diffusivity coefficient and expedited electrochemical kinetics.This study offers profound insights for the elaborate design of multicompositional electrodes into a mechanical stress‐release structure toward advanced energy storage application and development.展开更多
Cigarette smoking is one of the major modifiable and environmental risk factors which can alter the lipid profile that leads to the progression of atherosclerosis and cardiovascular diseases. The aim of the current st...Cigarette smoking is one of the major modifiable and environmental risk factors which can alter the lipid profile that leads to the progression of atherosclerosis and cardiovascular diseases. The aim of the current study is to explore the association of cigarette smoking with Hyperlipidemia in male individuals. A cross-sectional study was carried out from March 2017 to Au-gust 2018 in Xuzhou, Jiangsu, China. A total of 1561 male individuals were enrolled in the study with a mean age (years) of 55.33 ± 14.41. We collected data on demographic, anthropometric and lifestyle indices. Total cholesterol (TC), triglyceride (TGL), and high-density lipoprotein cholesterol (HDL-C) were determined by the enzymatic colorimetric method. The mean level of serum TC, TG, and HDL-C were 4.85 ± 0.91, 1.69 ± 1.45 and 1.27 ± 0.32 mmol/L respectively. We found that age, body mass index, pack-years, marital status, annual household income, alcohol consumption, smoking status, education level, and occupational status have significant association with Hyperlipidemia. Adjusted multiple logistic regressions showed that in old age, smoking behavior can significantly increase the risk of Hyperlipidemia. With an increase in pack-years, a significant increase is found only in TC while decreasing trend noticed in HDL-C level. Current smokers showed a significant increase in the risk of Hyperlipidemia compared to those who never smoked while smoking cessation decreases the risk of Hyperlipidemia. This study concluded that cigarette smoking along with increased age and pack-years can significantly increase the risk of Hyperlipidemia that further leads to heart diseases.展开更多
The novel betacoronavirus(Severe Acute Respiratory Syndrome Coronavirus 2,SARS‐CoV‐2)is a pathogen that causes deadly respiratory disease named coronavirus disease 2019(COVID‐19).The incidence of this disease has i...The novel betacoronavirus(Severe Acute Respiratory Syndrome Coronavirus 2,SARS‐CoV‐2)is a pathogen that causes deadly respiratory disease named coronavirus disease 2019(COVID‐19).The incidence of this disease has increased in the last few months affecting 257,832,881 people in 221 countries and 51,68,069 deaths worldwide according to Worldometer at 04:03 GMT on November 22,2021.Thus,the emergence of this disease creates a challenge for health care providers in handling this pathogen and reducing its risk of transmission.In developing countries,this virus is treated in biosafety level 2 laboratories,where a high concentration of pathogen can easily affect the laboratory staff and cause the spread of this disease.Based on the epidemiology and characteristics of the SARS‐CoV‐2 virus already discussed in recent studies,we will provide biosafety guidelines and suggestions for safe handling and transportation of the SARS‐CoV‐2 virus in dealing with the current pandemic situation with a focus on increased infectivity of emerging new variants.展开更多
Pneumonia is a highly transmissible disease in children.According to the World Health Organization(WHO),the most affected regions include south Asia and sub-Saharan Africa.Worldwide,15%of pediatric deaths can be attri...Pneumonia is a highly transmissible disease in children.According to the World Health Organization(WHO),the most affected regions include south Asia and sub-Saharan Africa.Worldwide,15%of pediatric deaths can be attributed to pneumonia.Computing techniques have a significant role in science,engineering,and many other fields.In this study,we focused on the efficiency of numerical techniques via computer programs.We studied the dynamics of the pneumonia-like infections of epidemic models using numerical techniques.We discuss two types of analysis:dynamical and numerical.The dynamical analysis included positivity,boundedness,local stability,reproduction number,and equilibria of the model.We also discusswell-known computing techniques including Euler,Runge Kutta,and non-standard finite difference(NSFD)for the model.The non-standard finite difference(NSFD)technique shows convergence to the true equilibrium points of the model for any time step size.However,Euler and Runge Kutta do not work well over large time intervals.Computing techniques are the suitable tool for crosschecking the theoretical analysis of the model.展开更多
Manganese fluoride(MnF2)is a high-performance lithium-ion battery anode material with an excellent structural stability,low synthesis cost,and better manufacturing convenience.However,its low theoretical capacity(577 ...Manganese fluoride(MnF2)is a high-performance lithium-ion battery anode material with an excellent structural stability,low synthesis cost,and better manufacturing convenience.However,its low theoretical capacity(577 mAh g^(-1)),weak conductivity of fluoride,and poor recyclability limit its practical application.Fortunately,oxygen vacancies(Ov)and heteroatomic doping are among the most promising strategies to modulate the inherent reduced electronic conductivity and kinetic response of electrode materials in order to boost their lithium storage capacity.Herein,self-templating,self-optimizing,and self-supporting metal-organic framework template approach with the introduction of oxygen vacancies by substitution of exogenous heteroatoms is proposed,where triple heteroatom-doped(N,O,and F)carbon-encapsulated MOF-derived manganese fluoride(Ov-ZMF@NOFs)microstructures are designed.Interestingly,the exogenously introduced triple heteroatomic carbon matrix forms a fluffy three-dimensional mechanical structure,interlaced conducting networks,efficient conducting pathways,and intense electrochemical dynamics at the periphery of the manganese fluoride nanoparticles.Benefiting from the above-mentioned features,the Ov-ZMF@NOFs exhibit expected electrochemical properties with ultra-long recyclability(high reversible capacity of 419 mAh g^(-1)at 6 A g^(-1))and good rate performance(capacity of 232 mAh g^(-1)at a current density of 16 A g^(-1)).Theoretical calculations underline the essential contribution of multiple heteroatoms doping in boosting the electrode conductivity and reducing the lithium-ion migration energy barrier.Combining controllable vacancy engineering and heteroatom doping technology at the nanoscale provides a new philosophy and concept for the design and fabrication of next-generation high-energy lithium-ion battery materials.展开更多
基金support from the Shenzhen Science and Technology Program(No.KQTD20190929173914967,ZDSYS20220527171401003,and JCYJ20200109110416441).
文摘Single-atom catalysts(SACs)have gained substantial attention because of their exceptional catalytic properties.However,the high surface energy limits their synthesis,thus creating significant challenges for further development.In the last few years,metal–organic frameworks(MOFs)have received significant consideration as ideal candidates for synthesizing SACs due to their tailorable chemistry,tunable morphologies,high porosity,and chemical/thermal stability.From this perspective,this review thoroughly summarizes the previously reported methods and possible future approaches for constructing MOF-based(MOF-derived-supported and MOF-supported)SACs.Then,MOF-based SAC's identification techniques are briefly assessed to understand their coordination environments,local electronic structures,spatial distributions,and catalytic/electrochemical reaction mechanisms.This review systematically highlights several photocatalytic and electrocatalytic applications of MOF-based SACs for energy conversion and storage,including hydrogen evolution reactions,oxygen evolution reactions,O_(2)/CO_(2)/N_(2) reduction reactions,fuel cells,and rechargeable batteries.Some light is also shed on the future development of this highly exciting field by highlighting the advantages and limitations of MOF-based SACs.
基金This work was supported by the National Natural Science Foundation of China(No.21973022)Guangdong Basic and Applied Basic Research Foundation(No.2023A1515012353).
基金Supported by National Heart,Lung,and Blood Institute at the National Institutes of Health grants R01 HL071739 and by contracts N01-HC-95159 through N01-HC-95165 and N01 HC 95169
文摘AIM: To compare prevalence rates of non-alcoholic fatty liver disease (NAFLD) between Hispanics of Mexican origin and Hispanics of Dominican and Puerto Rican origin.
基金This work was supported by grants from the National Key Research and Development Program of China(YFD0300102-3 to L.G.L.)the Key Program of the National Natural Science Foundation of China(31930010 to L.G.L)+1 种基金the General Program of National Natural Science Foundation of China(No.31872170 to L.G.L.,31571258,31800224 to L.Y.L.)the Capacity Building for Sci-Tech Innovation-Fundamental Scientific Research Funds(19530050165 to L.G.L.).
文摘Oscillations in cytosolic free calcium determine the polarity of tip-growing root hairs.The Ca2+channel cyclic nucleotide gated channel 14(CNGC14)contributes to the dynamic changes in Ca^2+concentration gradient at the root hair tip.However,the mechanisms that regulate CNGC14 are unknown.In this study,we detected a direct interaction between calmodulin 7(CaM7)and CNGC14 through yeast two-hybrid and bimolecular fluorescence complementation assays.We demonstrated that the third EF-hand domain of CaM7 specifically interacts with the cytosolic C-terminal domain of CNGC14.A two-electrode voltage clamp assay showed that CaM7 completely inhibitsCNGC14-mediated Ca2+influx,suggesting that CaM7 neg-atively regulates CNGC14-mediated calcium signaling.Fur-thermore,CaM7 overexpressing lines phenocopy the short root hair phenotype of a cngc14 mutant and this phenotype is insensitive to changes in external Ca^2+concentrations.We,thus,identified CaM7-CNGC14 as a novel interacting module that regulates polar growth in root hairs by con-trolling the tip-focused Ca2+signal.
基金financially supported by the Guangzhou Science and Technology Project,China(No.201904010213)the Foundation of Anhui Province Key Laboratory of Functional Coordinated Complexes for Materials Chemistry and Application(Nos.LFCCMCA-01 and LFCCMCA-06)+1 种基金the Scientific Research Launch Project of Anhui Polytechnic University(No.2020YQQ057)the Scientific Research Project of Anhui Polytechnic University(No.Xjky2020090)。
文摘To date,Co-based metal-organic frameworks(Co-MOFs)have drawn much attention owing to their advantages of easy preparation,high porosity and adjustable structure.Because of these enticing properties,numerous efforts have been devoted to their applications in energy storage and conversion.However,poor conductivity has become one of the biggest obstacles for large-scale use of pristine Co-MOFs.Subsequently,many attempts have been carried out to develop various Co-MOF derived materials as electrodes for rechargeable batteries in order to address the above-mentioned shortcoming and to enhance the electrical conductivity with improved stability during cycling.Moreover,in addition to improvement of Li-ion batteries in practical utilization,seeking for other rechargeable batteries is another urgent task due to the high cost and limited sources of metallic Li.Herein,by following the recent research progress,this review provides an overview of applications of Co-MOF derived materials in various rechargeable batteries including lithium-ion batteries,sodium-ion batteries,lithium-sulfur batteries,zinc air batteries and other rechargeable batteries,where they have been utilized as cathodes,anodes,separators and electrocatalysts.Accordingly,we categorize and compare the morphology driven electrochemical performance of various Co-MOF derivatives including porous carbon,cobalt oxides,cobalt chalcogenides,cobalt phosphides and corresponding composites.Finally,current challenges for large-scale production and commercialization of Co-MOF derived materials as well as some reasonable solutions have been discussed at the end.
基金the Tianjin Science and Technology Program(No.18ZXSZSF00160)the Fundamental Research Funds for the Central Universities of China(Nos.ZB19500210 and ZB19000804)。
文摘The submicron particulate matter(PM_(1))and fine particulate matter(PM_(2.5))are very important due to their greater adverse impacts on the natural environment and human health.In this study,the daily PM_(1) and PM_(2.5) samples were collected during early summer 2018 at a sub-urban site in the urban-industrial port city of Tianjin,China.The collected samples were analyzed for the carbonaceous fractions,inorganic ions,elemental species,and specific marker sugar species.The chemical characterization of PM_(1) and PM_(2.5) was based on their concentrations,compositions,and characteristic ratios(PM_(1)/PM_(2.5),AE/CE,NO3^-/SO4^2-,OC/EC,SOC/OC,OM/TCA,K^+/EC,levoglucosan/K^+,V/Cu,and V/Ni).The average concentrations of PM_(1) and PM_(2.5) were 32.4μg/m and 53.3μg/m^3,and PM_(1) constituted 63%of PM_(2.5) on average.The source apportionment of PM_(1) and PM_(2.5) by positive matrix factorization(PMF)model indicated the main sources of secondary aerosols(25%and 34%),biomass burning(17%and 20%),traffic emission(20%and 14%),and coal combustion(17%and 14%).The biomass burning factor involved agricultural fertilization and waste incineration.The biomass burning and primary biogenic contributions were determined by specific marker sugar species.The anthropogenic sources(combustion,secondary particle formation,etc)contributed significantly to PM_(1) and PM_(2.5),and the natural sources were more evident in PM_(2.5).This work significantly contributes to the chemical characterization and source apportionment of PM_(1) and PM_(2.5) in near-port cities influenced by the diverse sources.
文摘Background:Metal oxide(MO)nanomaterials and related nanocomposites have been extensively studied for their potential use in water treatment.Because of their controlled morphologies,texture qualities,variable surface chemistry,distinct crystalline nature,high stability,and tunable band edges,MO nanostructured materials are highly selective towards deleting organic contaminants and heavy metal ions via adsorption and semiconductor photocatalysis.Metal-enhanced photocatalysis has recently received increasing interest,mainly due to the ability of the metal to directly or indirectly degrade pollutants.A diverse selection of MOs,with titanium dioxide(Ti O2),zinc oxide(Zn O),iron oxides(IO),and tungsten(W),as well as graphene-MOs nanocomposites with variable structure,crystalline,and morphological properties,offers a powerful platform for the growth of effective catalysts.Methods:The current work discusses novel advancements and potential for the removal of adsorptive and photocatalytic degradation of organic compounds(phenolic,pesticide molecules,dyes,and so on)as well as heavy metal ions using semiconductor materials.A photocatalyst based on a MO-scheme heterostructure can manage the appropriate conduction band(CB)and valence band(VB)locations,securing considerable redox aptitude.This review should be of interest to the broad readership dealing with applied and fundamental aspects of water treatments and material sciences.Various strategies including surface modification,plasmonic enhancement,and metal cocatalysts have been introduced to enhance photocatalytic performance.Significant findings:The current article discussed the significantly utilized synthesis strategies and mechanism of heterojunction photocatalysts using a Z-scheme.Furthermore,adsorption sections guarantee that mercury,chromium,cadmium,arsenic,and lead-based ions are successfully removed from polluted water via the adsorption route.Numerous characteristics,such as concentration,coexisting ions,p H,and kind of chemical have converged to comprehend the
基金authors are thankful to the Deanship of Scientific Research at Najran University for funding this work,under the Research Groups Funding Program Grant Code(NU/RG/SERC/12/27).
文摘Social media(SM)based surveillance systems,combined with machine learning(ML)and deep learning(DL)techniques,have shown potential for early detection of epidemic outbreaks.This review discusses the current state of SM-based surveillance methods for early epidemic outbreaks and the role of ML and DL in enhancing their performance.Since,every year,a large amount of data related to epidemic outbreaks,particularly Twitter data is generated by SM.This paper outlines the theme of SM analysis for tracking health-related issues and detecting epidemic outbreaks in SM,along with the ML and DL techniques that have been configured for the detection of epidemic outbreaks.DL has emerged as a promising ML technique that adaptsmultiple layers of representations or features of the data and yields state-of-the-art extrapolation results.In recent years,along with the success of ML and DL in many other application domains,both ML and DL are also popularly used in SM analysis.This paper aims to provide an overview of epidemic outbreaks in SM and then outlines a comprehensive analysis of ML and DL approaches and their existing applications in SM analysis.Finally,this review serves the purpose of offering suggestions,ideas,and proposals,along with highlighting the ongoing challenges in the field of early outbreak detection that still need to be addressed.
基金Research and Development Plan Project in Key Fields of Guangdong Province (2020B0101030005)Basic and Applied Basic Research Fund of Guangdong Province (2019B1515120027)+1 种基金Scientific Research Innovation Project of Graduate School of South China Normal University (2024KYLX050)Special Funds for the Cultivation of Guangdong College Students’ Scientific and Technological Innovation (“Climbing Program” Special Funds, pdjh2024a109)。
文摘Unsatisfactory conductivity and volume effects have hindered the commercial application of siliconbased materials as advanced anode materials for high-performance lithium-ion batteries. Herein, nitrogen doped carbon silicon matrix composite with atomically dispersed Co sites(Si/Co-N-C) is obtained via the design of the frame structure loaded with nano-components and the multi-element hybrid strategy. Co atoms are uniformly fixed to the N-C frame and tightly packed with nanoscale silicon particles as an activation and protection building block. The mechanism of the N-C framework of loaded metal Co in the Si alloying process is revealed by electrochemical kinetic analysis and ex situ characterization tests.Impressively, the nitrogen-doped Co site activates the intercalation of the outer carbon matrix to supplement the additional capacity. The Co nanoparticles with high conductivity and support enhance the conductivity and structural stability of the composite, accelerating the Li^(+)/Na^(+) diffusion kinetics. Density functional theory(DFT) calculation confirms that the hetero-structure Si/Co-N-C adjusts the electronic structure to obtain good lithium-ion adsorption energy, reduces the Li^(+)/Na^(+) migration energy barrier.This work provides meaningful guidance for the development of high-performance metal/non-metal modified anode materials.
基金supported by the National Natural Science Foundation of China(Nos.22477108,82260682)the Program for Changjiang Scholars and Innovative Research Team in University(No.IRT_17R94)+1 种基金the Project of Yunnan Characteristic Plant Screening and R&D Service CXO Platform(No.2022YKZY001)the Scientific Research Fund of Yunnan Provincial Department ofEducation(No.2023Y0235)。
文摘Two new nor-ent-halimane diterpenes and three previously unreported nor-clerodane diterpenes,designated callicain-tides A-E(1-5),were isolated from Callicarpa integerrima.Compounds 1 and 2 feature a distinctive 5/6-membered ring system,while compounds 3-5 are characterized by progressively truncated carbon skeletons,containing 18,17,and 16 carbons,respectively.In addition,four known compounds 6-9 were also identified.Their structures were elucidated using advanced spectroscopic tech-niques,including nuclear magnetic resonance(NMR),high-resolution electrospray ionization mass spectrometry(HR-ESI-MS),ultra-violet(UV),infrared radiation(IR),optical rotatory dispersion(ORD),DP4+analysis and electronic circular dichroism(ECD),sup-ported by quantum chemical calculations.Compounds 1-9 were evaluated for their anti-MRSA activity.Among them,compound 6 demonstrated significant anti-MRSA activity,with a minimum inhibitory concentration(MIC)of 16 μg·mL^(-1).
基金the financial support received from Interdisciplinary Research Center for Hydrogen Technologies and Carbon Management(IRC-HTCM)at King Fahd University of Petroleum and Minerals(KFUPM),specifically under project#INHE2213。
文摘Aqueous organic redox flow batteries(RFBs)exhibit favorable characteristics,such as tunability,multielectron transfer capability,and stability of the redox active molecules utilized as anolytes and catholytes,making them very viable contenders for large-scale grid storage applications.Considerable attention has been paid on the development of efficient redox-active molecules and their performance optimization through chemical substitutions at various places on the backbone as part of the pursuit for high-performance RFBs.Despite the fact that electrodes are vital to optimal performance,they have not garnered significant attention.Limited research has been conducted on the effects of electrode modifications to improve the performance of RFBs.The primary emphasis has been given on the impact of electrode engineering to augment the efficiency of aqueous organic RFBs.An overview of electron transfer at the electrode-electrolyte interface is provided.The implications of electrode modification on the performance of redox flow batteries,with a particular focus on the anodic and cathodic half-cells separately,are then discussed.In each section,significant discrepancies surrounding the effects of electrode engineering are thoroughly examined and discussed.Finally,we have presented a comprehensive assessment along with our perspectives on the future trajectory.
基金Supported by the National Natural Science Foundation of China(Nos.41976109,42276100)the Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)。
文摘Ulva prolifera is the most common specie causative to green tide,and its growth is sensitive to temperature stress.However,the mechanisms of U.prolifera response to temperature stress remain elusive.In this study,high temperature(36℃)stimulus promoted the death of unformed cell wall protoplasts and delayed the division of formed cell wall protoplasts,while low-temperature(4℃)stimulus did not,suggesting that the mechanisms of the response of U.prolifera to high and low temperature stresses are different.Transcriptome results show that proliferation-related genes were differentially expressed under high and low-temperature stresses,especially the proliferating cell nuclear antigen(PCNA)and cyclins(CYCs).Subsequently,the interaction between PCNA and Cyclin A was confirmed by Co-immunoprecipitation,yeast two-hybrid,and so on.Furthermore,high-and low temperature stresses induced the expression of PCNA and Cyclin A in varying of degrees,and activated extracellular signal-regulated kinase(ERK)signal pathway.These results suggest,PCNA,Cyclin A,and ERK signal pathway played important roles in the resistance of U.prolifera to temperature stress.Interestingly,high-temperature stress induced an increase of miR-2916 in abundance,and exhibiting reverse expression of PCNA;and PCNA was target gene of miR-2916,suggesting that miR-2916 protected U.prolifera from high-temperature stress via post-transcriptionally regulation of PCNA.This study laid a foundation for understanding the function of PCNA and Cyclin A,moreover,it has a guiding significance to explore the mechanisms of the response to temperature stress from proliferation-related genes regulatory networks in U.prolifera.
基金This research was funded by the National Nature Sciences Foundation of China(Grant No.42250410321).
文摘Missing value is one of the main factors that cause dirty data.Without high-quality data,there will be no reliable analysis results and precise decision-making.Therefore,the data warehouse needs to integrate high-quality data consistently.In the power system,the electricity consumption data of some large users cannot be normally collected resulting in missing data,which affects the calculation of power supply and eventually leads to a large error in the daily power line loss rate.For the problem of missing electricity consumption data,this study proposes a group method of data handling(GMDH)based data interpolation method in distribution power networks and applies it in the analysis of actually collected electricity data.First,the dependent and independent variables are defined from the original data,and the upper and lower limits of missing values are determined according to prior knowledge or existing data information.All missing data are randomly interpolated within the upper and lower limits.Then,the GMDH network is established to obtain the optimal complexity model,which is used to predict the missing data to replace the last imputed electricity consumption data.At last,this process is implemented iteratively until the missing values do not change.Under a relatively small noise level(α=0.25),the proposed approach achieves a maximum error of no more than 0.605%.Experimental findings demonstrate the efficacy and feasibility of the proposed approach,which realizes the transformation from incomplete data to complete data.Also,this proposed data interpolation approach provides a strong basis for the electricity theft diagnosis and metering fault analysis of electricity enterprises.
基金supported by the National Natural Science Foundation of China(No.82071709,No.32070850,and No.82171601)the National Key Research and Developmental Program of China(2022YFC2702601 and 2022YFA0806303)the Joint Fund for New Medicine of USTC(YD9100002034).
文摘Male infertility is a worldwide health issue,affecting 8%–12%of the global population.Oligoasthenoteratozoospermia(OAT)represents a severe type of male infertility,characterized by reduced sperm count and motility and an increased frequency of sperm with aberrant morphology.Using whole-exome sequencing,this study identified a novel missense mutation(c.848C>A,p.A283E)in the coiled-coil domain-containing 34 gene(CCDC34)in a consanguineous Pakistani family.This rare mutation was predicted to be deleterious and to affect the protein stability.Hematoxylin and eosin staining of spermatozoa from the patient with OAT revealed multiple morphological abnormalities of the flagella and transmission electron microscopy indicated axonemal ultrastructural defects with a lack of outer dynein arms.These findings indicated that CCDC34 plays a role in maintaining the axonemal ultrastructure and the assembly or stability of the outer dynein arms,thus expanding the phenotypic spectrum of CCDC34 missense mutations.
文摘Social media platforms have lately emerged as a promising tool for predicting the outbreak of epidemics by analyzing information on them with the help of machine learning techniques.Many analytical and statistical models are available to infer a variety of user sentiments in posts on social media.The amount of data generated by social media platforms,such as Twitter,that can be used to track diseases is increasing rapidly.This paper proposes a method for the classication of tweets related to the outbreak of dengue using machine learning algorithms.An articial neural network(ANN)-based method is developed using Global Vector(GloVe)embedding to use the data in tweets for the automatic and efcient identication and classication of dengue.The proposed method classies tweets related to the outbreak of dengue into positives and negatives.Experiments were conducted to assess the proposed ANN model based on performance evaluation matrices(confusion matrices).The results show that the GloVe vectors can efciently capture a sufcient amount of information for the classier to accurately identify and classify tweets as relevant or irrelevant to dengue outbreaks.The proposed method can help healthcare professionals and researchers track and analyze epidemic outbreaks through social media in real time.
基金the financial support of the Guangzhou Science and Technology Project,China(Grant No.201904010213).
文摘Rational manipulation of multicomponent materials into a sophisticated architecture is a prerequisite for developing lithium‐ion batteries.However,mechanical diffusion‐induced strain accumulation leads to sluggish diffusion kinetics and anomalous structure instability,further resulting in inferior long‐term cyclability and rate performance.Herein,the von Mises stress distribution on open microcages composed of secondary nanoparticles(OCNs)is mechanically investigated by finite element simulation,which elucidates the pronounced stress‐release effect on OCNs architecture.Afterward,a facile metal–organic framework‐derived methodology is proposed for constructing multihierarchical carbon‐encapsulated oxygen vacancy‐enriched MnO/Ni OCNs(OV‐MnO/Ni OCNs).Due to structural and compositional integration,the OV‐MnO/Ni OCNs achieve extraordinary lithium storage performance with excellent reversible capacity(1905.1 mAh g^(−1) at 0.2 A g^(−1)),ultrahigh cycling stability(1653.5 mAh g^(−1) at 2 A g^(−1) up to 600 cycles),and considerable rate capability(463.3 mAh g^(−1) even at 10 A g^(−1)).The primary lithium storage mechanisms are further systematically determined by experimental and theoretical investigations.The enriched oxygen vacancies,metallic Ni configuration,and N‐doped carbonaceous matrix provide more active sites,construct omnidirectional diffusion pathways,suppress volume expansion,and boost electronic conductivity,thus yielding an exceptional diffusivity coefficient and expedited electrochemical kinetics.This study offers profound insights for the elaborate design of multicompositional electrodes into a mechanical stress‐release structure toward advanced energy storage application and development.
文摘Cigarette smoking is one of the major modifiable and environmental risk factors which can alter the lipid profile that leads to the progression of atherosclerosis and cardiovascular diseases. The aim of the current study is to explore the association of cigarette smoking with Hyperlipidemia in male individuals. A cross-sectional study was carried out from March 2017 to Au-gust 2018 in Xuzhou, Jiangsu, China. A total of 1561 male individuals were enrolled in the study with a mean age (years) of 55.33 ± 14.41. We collected data on demographic, anthropometric and lifestyle indices. Total cholesterol (TC), triglyceride (TGL), and high-density lipoprotein cholesterol (HDL-C) were determined by the enzymatic colorimetric method. The mean level of serum TC, TG, and HDL-C were 4.85 ± 0.91, 1.69 ± 1.45 and 1.27 ± 0.32 mmol/L respectively. We found that age, body mass index, pack-years, marital status, annual household income, alcohol consumption, smoking status, education level, and occupational status have significant association with Hyperlipidemia. Adjusted multiple logistic regressions showed that in old age, smoking behavior can significantly increase the risk of Hyperlipidemia. With an increase in pack-years, a significant increase is found only in TC while decreasing trend noticed in HDL-C level. Current smokers showed a significant increase in the risk of Hyperlipidemia compared to those who never smoked while smoking cessation decreases the risk of Hyperlipidemia. This study concluded that cigarette smoking along with increased age and pack-years can significantly increase the risk of Hyperlipidemia that further leads to heart diseases.
文摘The novel betacoronavirus(Severe Acute Respiratory Syndrome Coronavirus 2,SARS‐CoV‐2)is a pathogen that causes deadly respiratory disease named coronavirus disease 2019(COVID‐19).The incidence of this disease has increased in the last few months affecting 257,832,881 people in 221 countries and 51,68,069 deaths worldwide according to Worldometer at 04:03 GMT on November 22,2021.Thus,the emergence of this disease creates a challenge for health care providers in handling this pathogen and reducing its risk of transmission.In developing countries,this virus is treated in biosafety level 2 laboratories,where a high concentration of pathogen can easily affect the laboratory staff and cause the spread of this disease.Based on the epidemiology and characteristics of the SARS‐CoV‐2 virus already discussed in recent studies,we will provide biosafety guidelines and suggestions for safe handling and transportation of the SARS‐CoV‐2 virus in dealing with the current pandemic situation with a focus on increased infectivity of emerging new variants.
文摘Pneumonia is a highly transmissible disease in children.According to the World Health Organization(WHO),the most affected regions include south Asia and sub-Saharan Africa.Worldwide,15%of pediatric deaths can be attributed to pneumonia.Computing techniques have a significant role in science,engineering,and many other fields.In this study,we focused on the efficiency of numerical techniques via computer programs.We studied the dynamics of the pneumonia-like infections of epidemic models using numerical techniques.We discuss two types of analysis:dynamical and numerical.The dynamical analysis included positivity,boundedness,local stability,reproduction number,and equilibria of the model.We also discusswell-known computing techniques including Euler,Runge Kutta,and non-standard finite difference(NSFD)for the model.The non-standard finite difference(NSFD)technique shows convergence to the true equilibrium points of the model for any time step size.However,Euler and Runge Kutta do not work well over large time intervals.Computing techniques are the suitable tool for crosschecking the theoretical analysis of the model.
基金support from Guangzhou Science and Technology Project,China(no.201904010213)Special Funds for the Cultivation of Guangdong College Students'Scientific and Technological Innovation(“Climbing Program”Special Funds,pdjh2021a0129).
文摘Manganese fluoride(MnF2)is a high-performance lithium-ion battery anode material with an excellent structural stability,low synthesis cost,and better manufacturing convenience.However,its low theoretical capacity(577 mAh g^(-1)),weak conductivity of fluoride,and poor recyclability limit its practical application.Fortunately,oxygen vacancies(Ov)and heteroatomic doping are among the most promising strategies to modulate the inherent reduced electronic conductivity and kinetic response of electrode materials in order to boost their lithium storage capacity.Herein,self-templating,self-optimizing,and self-supporting metal-organic framework template approach with the introduction of oxygen vacancies by substitution of exogenous heteroatoms is proposed,where triple heteroatom-doped(N,O,and F)carbon-encapsulated MOF-derived manganese fluoride(Ov-ZMF@NOFs)microstructures are designed.Interestingly,the exogenously introduced triple heteroatomic carbon matrix forms a fluffy three-dimensional mechanical structure,interlaced conducting networks,efficient conducting pathways,and intense electrochemical dynamics at the periphery of the manganese fluoride nanoparticles.Benefiting from the above-mentioned features,the Ov-ZMF@NOFs exhibit expected electrochemical properties with ultra-long recyclability(high reversible capacity of 419 mAh g^(-1)at 6 A g^(-1))and good rate performance(capacity of 232 mAh g^(-1)at a current density of 16 A g^(-1)).Theoretical calculations underline the essential contribution of multiple heteroatoms doping in boosting the electrode conductivity and reducing the lithium-ion migration energy barrier.Combining controllable vacancy engineering and heteroatom doping technology at the nanoscale provides a new philosophy and concept for the design and fabrication of next-generation high-energy lithium-ion battery materials.
