Electrochemical synthesis of value-added chemicals represents a promising approach to address multidisciplinary demands.This technology establishes direct pathways for electricity-to-chemical conversion while signific...Electrochemical synthesis of value-added chemicals represents a promising approach to address multidisciplinary demands.This technology establishes direct pathways for electricity-to-chemical conversion while significantly reducing the carbon footprint of chemical manufacturing.It simultaneously optimizes chemical energy storage and grid management,offering sustainable solutions for renewable energy utilization and overcoming geographical constraints in energy distribution.As a critical nexus between renewable energy and green chemistry,electrochemical synthesis serves dual roles in energy transformation and chemical production,emerging as a vital component in developing carbon-neutral circular economies.Focusing on key small molecules(H_(2)O,CO_(2),N_(2),O_(2)),this comment examines fundamental scientific challenges and practical barriers in electrocatalytic conversion processes,bridging laboratory innovations with industrial-scale implementation.展开更多
Various factors,including weak tie-lines into the electric power system(EPS)networks,can lead to low-frequency oscillations(LFOs),which are considered an instant,non-threatening situation,but slow-acting and poisonous...Various factors,including weak tie-lines into the electric power system(EPS)networks,can lead to low-frequency oscillations(LFOs),which are considered an instant,non-threatening situation,but slow-acting and poisonous.Considering the challenge mentioned,this article proposes a clustering-based machine learning(ML)framework to enhance the stability of EPS networks by suppressing LFOs through real-time tuning of key power system stabilizer(PSS)parameters.To validate the proposed strategy,two distinct EPS networks are selected:the single-machine infinite-bus(SMIB)with a single-stage PSS and the unified power flow controller(UPFC)coordinated SMIB with a double-stage PSS.To generate data under various loading conditions for both networks,an efficient but offline meta-heuristic algorithm,namely the grey wolf optimizer(GWO),is used,with the loading conditions as inputs and the key PSS parameters as outputs.The generated loading conditions are then clustered using the fuzzy k-means(FKM)clustering method.Finally,the group method of data handling(GMDH)and long short-term memory(LSTM)ML models are developed for clustered data to predict PSS key parameters in real time for any loading condition.A few well-known statistical performance indices(SPI)are considered for validation and robustness of the training and testing procedure of the developed FKM-GMDH and FKM-LSTM models based on the prediction of PSS parameters.The performance of the ML models is also evaluated using three stability indices(i.e.,minimum damping ratio,eigenvalues,and time-domain simulations)after optimally tuned PSS with real-time estimated parameters under changing operating conditions.Besides,the outputs of the offline(GWO-based)metaheuristic model,proposed real-time(FKM-GMDH and FKM-LSTM)machine learning models,and previously reported literature models are compared.According to the results,the proposed methodology outperforms the others in enhancing the stability of the selected EPS networks by damping out the observed unwanted LFOs under various loading conditions.展开更多
Coal mining activities significantly impact the environment through water,soil,and air pollution of the surrounding areas.The dispersal of pollutants and the degradation of soil quality by toxic metals emitted from co...Coal mining activities significantly impact the environment through water,soil,and air pollution of the surrounding areas.The dispersal of pollutants and the degradation of soil quality by toxic metals emitted from coal mining activities cause significant concerns worldwide,posing serious risks to ecosystems,human health,and vegetation.Restoration of quality of soil contaminated by toxic metals from coal mining is challenging due to the continuous increase in the concentration of toxic metals such as lead,copper,chromium,cadmium,and arsenic within the soil matrix.Conventional approaches utilized for the remediation of soil are often time-consuming and labour-intensive.In addition,they may lead to secondary pollution,particularly when applied at a large scale.Phytoremediation,a technique that utilizes plants with high metal accumulation capacity,has surfaced as a promising,eco-friendly strategy for remediating soil contaminated with toxic metals.These plants can absorb and sequester metals into above-and belowground tissues or stabilize them into less bioavailable forms within the rhizosphere.Species from families such as Brassicaceae and Asteraceae have demonstrated notable effectiveness in phytoremediation applications.The efficiency of phytoremediation can be further enhanced by applying organic and inorganic soil amendments to increase metal bioavailability and plant uptake.Moreover,genetic engineering has enabled the development of plants with improved metal tolerance and accumulation capacities.Complementing these approaches,microbial phytoremediation employs plant-associated microbes to facilitate metal uptake and transformation,increasing the overall remediation efficiency.Following remediation,biomass is proposed for value-added applications,including biochar,biogas,and recovery of metals for industrial reuse.This review summarizes the current progress,emerging strategies,and future prospects of phytoremediation for mitigating toxic metal pollution in coal mining-affected soils.Altogether,these approaches illustrate the potential of integrating circular bioeconomy principles in transforming phytoremediation as a sustainable strategy for mitigating toxic metal pollution in coal mining regions.展开更多
Redox mediators(RMs)represent the most promising strategy to address the sluggish kinetics of lithium-oxygen(Li-O_(2))batteries.To achieve high-energy and cost-effective Li-O_(2)batteries,carbon materials are typicall...Redox mediators(RMs)represent the most promising strategy to address the sluggish kinetics of lithium-oxygen(Li-O_(2))batteries.To achieve high-energy and cost-effective Li-O_(2)batteries,carbon materials are typically regarded as ideal cathodes in these systems.However,the impact of their surface properties—which often regulate specific discharge pathways—on the RM-mediated oxygen reduction reaction(ORR)remains unclear.In this study,CNTs electrodes with different surface properties are fabricated.Results suggest that CNTs with more surface defects not only promote the unmediated discharge pathway even in RMs-involved battery systems but also exacerbate the corrosion of carbon cathodes.This,in turn,leads to the undesired accumulation of Li_(2)O_(2)and Li_(2)CO_(3)on the cathode surface,which hinders effective and continuous electron transfer between the cathode and RMs,ultimately decreasing the catalytic activity of RMs.As a result,the discharge capacity of the battery is seriously diminished,especially at large current densities.These findings underscore the significance of surface engineering in advancing the performance of RMs-assisted Li-O_(2)batteries.展开更多
Exploring high-performance electrocatalysts for the nitrate reduction reaction(NO_(3)RR)is crucial for environmental nitrate removal and ammonia synthesis.Single-atom collaboration with cluster can provide sufficient ...Exploring high-performance electrocatalysts for the nitrate reduction reaction(NO_(3)RR)is crucial for environmental nitrate removal and ammonia synthesis.Single-atom collaboration with cluster can provide sufficient active sites for catalysts to promote NO_(3)RR,yet the unclear synergistic effect between the two hinders their rational design.Herein,a series of Ir_(3)clusters and metal single atoms co-embedded in graphitic carbon nitride(g-CN)catalysts(Ir_(3)M1)were constructed,and the synergistic effects of Ir_(3)clusters and M1 single atoms on the NO_(3)RR catalytic mechanism and activity were systematically explored using density functional theory(DFT)calculations combined with machine learning.Comprehensive evaluations of structural stability and catalytic activity demonstrate that the synergy between single atoms and clusters effectively balances the adsorption energies of key intermediates,yielding exceptional catalytic performance(the limiting potential of Ir_(3)Ti_(1)can reach−0.22 V).Machine learning models further clarify the synergistic mechanism,where the geometric configurations of clusters serve as critical features for modulating the catalytic activity of single-atom sites,whereas the electronic structures of single atoms directly govern the reactivity of cluster sites.This DFT-machine learning approach provides theoretical guidelines for catalyst design and a predictive framework for efficient NO_(3)RR electrocatalysts.展开更多
Nowadays,higher requirements are put forward to the storage and utilization of energy,and supercapacitor is a kind of energy storage electronic devices.The resulting CA-N,with a specific surface area of 320.6 m^(2)/g ...Nowadays,higher requirements are put forward to the storage and utilization of energy,and supercapacitor is a kind of energy storage electronic devices.The resulting CA-N,with a specific surface area of 320.6 m^(2)/g and a pore volume of 0.28 cm^(3)/g,demonstrated a remarkable supercapacitance of 283.3 F/g.As a mesoporous material,CA-N offers numerous channels for the diffusion and absorption of electrolyte ions.Furthermore,it exhibited an impressive capacity retention rate of 98.48% after 5000 charge-discharge cycles.These outstanding electrochemical properties highlight the potential of CA-N for applications in energy storage.展开更多
The electrocaloric(EC)effect refers to the change in the polarization entropy and/or temperature of dielectric materials when an electric field is applied and removed.EC refrigeration has received increasing interest ...The electrocaloric(EC)effect refers to the change in the polarization entropy and/or temperature of dielectric materials when an electric field is applied and removed.EC refrigeration has received increasing interest as an alternative to conventional refrigeration technologies because it provides both high energy efficiency and zero global warming potential.In this review,we first introduce the thermodynamic fundamentals of the EC effect and the mechanism of EC refrigeration cycles.We then present recent advances in EC cooling technologies,from material improvements to device demonstrations,including a critical analysis of existing material and device characterization methodologies and a discussion of how to reliably measure the parameters of materials and devices.Finally,the current challenges and possible future prospects for EC cooling technology are outlined.展开更多
Radical cycloaddition reactions(RCRs) are highly effective methods for constructing complex carbo-and heterocycles,which are frequently encountered in natural products that exhibit intriguing biological properties and...Radical cycloaddition reactions(RCRs) are highly effective methods for constructing complex carbo-and heterocycles,which are frequently encountered in natural products that exhibit intriguing biological properties and hold significant potential for applications in medicinal chemistry.Radical-mediated cycloaddition strategies,which recycle radical character,are particularly appealing because they require only a catalytic amount of reagent and promise reactions with theoretically high atom economy.This review focuses on recent developments and synthetic applications in RCRs,with an emphasis on visible lightinduced radical photocycloaddition reactions(RPCRs),transition metal-catalyzed approaches,and small molecule-catalyzed methods.By highlighting some outstanding innovations and addressing current challenges,this review aims to identify potential areas for improvement.These advancements will provide more efficient pathways for the synthesis of natural product molecules and offer valuable insights for the development of new synthetic methodologies.展开更多
Electrochemical CO_(2) reduction reaction(CO_(2)RR) into valuable formate provides a strategy for carbon neutrality.Bismuth(Bi) catalysts,attributed to their appropriate energy barrier of OCHO*intermediate,have demons...Electrochemical CO_(2) reduction reaction(CO_(2)RR) into valuable formate provides a strategy for carbon neutrality.Bismuth(Bi) catalysts,attributed to their appropriate energy barrier of OCHO*intermediate,have demonstrated substantial potential for the advancement of electrocatalytic CO_(2) reduction to formate.However,due to the weak bonding of protons(H^(*)) of Bi,the available protonate of CO_(2) on Bi is insufficient,which limits the formation of OCHO^(*).Prediction by theoretical calculation,chlorine doping can effectively promote the dissociation of H_(2)O and thus achieve effective proton supply.We prepare chlorine-doped Bi(Cl-Bi) via an electrochemical conversion strategy for electroreduction of CO_(2) .An obvious improvement of faradaic efficiency(FE) of formate(96.7% at-0.95 V vs.RHE) can be achieved on Cl-Bi,higher than that of Bi(89.4%).Meanwhile,Cl-Bi has the highest formate production rate of 275 μmol h^(-1)cm^(-2)at-0.95 V vs.RHE,which is 1.2 times higher than that of Bi(224 μmol h^(-1)cm^(-2)).In situ characterizations and kinetic analysis reveal that chlorine doping promotes the activation of H_(2)O and supply sufficient protons to promote the protonation of CO_(2) to OCHO^(*),which is consistent with theoretical calculation.The study presents an effective strategy for rational design of highly efficient electrocatalysts to promote green chemical production.展开更多
Supercapacitors represent one specific class of energy storage devices that bridge the gap between traditional capacitors and batteries.In current work,δ-MnO_(2) nanoflakes arrayed on electrochemically exfoliated gra...Supercapacitors represent one specific class of energy storage devices that bridge the gap between traditional capacitors and batteries.In current work,δ-MnO_(2) nanoflakes arrayed on electrochemically exfoliated graphene(EEG)nanosheets were easily made as one composited electrode material for boosting the charge storage performances of supercapacitors.Coupled with the fluent electron and ion transport from two-dimensional EEG nanosheets,the uniformly anchoredδ-MnO_(2) nanoflake arrays present high reversible capacity,superior cycling stability,and unique rate capability.As expected,the MnO_(2)/EEG-10 electrode delivers high specific capacitance of 190 F·g^(−1) at 0.2 A·g^(−1),and holds 97.3%of its initial capacitance after 10000 cycles at 5 A·g^(−1).Furthermore,an asymmetrical supercapacitor using MnO_(2)/EEG-10 as the positive electrode achieves an energy density of 17.7 W·h·kg^(−1) at a power density of 922.7 W·kg^(−1) with 82.9%capacity retention upon 10000 cycles at 5 A·g^(−1).This work highlights the facile fabrication of high-performance MnO_(2)/graphene composites with excellent structure stability using graphene nanosheets as the conductive matrix.展开更多
The functional properties of glasses are governed by their formation history and the complex relaxation processes they undergo.However,under extreme conditions,glass behaviors are still elusive.In this study,we employ...The functional properties of glasses are governed by their formation history and the complex relaxation processes they undergo.However,under extreme conditions,glass behaviors are still elusive.In this study,we employ simulations with varied protocols to evaluate the effectiveness of different descriptors in predicting mechanical properties across both low-and high-pressure regimes.Our findings demonstrate that conventional structural and configurational descriptors fail to correlate with the mechanical response following pressure release,whereas the activation energy descriptor exhibits robust linearity with shear modulus after correcting for pressure effects.Notably,the soft mode parameter emerges as an ideal and computationally efficient alternative for capturing this mechanical behavior.These findings provide critical insights into the influence of pressure on glassy properties,integrating the distinct features of compressed glasses into a unified theoretical framework.展开更多
This review draws attention to the innovative use of arrowroot(Maranta arundinacea)fiber as a unique and underutilized biomass source for nanocrystalline cellulose(NCC)-based nanocomposites,presenting a noteworthy alt...This review draws attention to the innovative use of arrowroot(Maranta arundinacea)fiber as a unique and underutilized biomass source for nanocrystalline cellulose(NCC)-based nanocomposites,presenting a noteworthy alternative to extensively researched materials like wood pulp,bacterial cellulose,and chemically modified NCCs.In contrast to traditional sources,arrowroot possesses a naturally elevated cellulose and diminished lignin content,facilitating more effective NCC extraction requiring reduced chemical input and enabling environmentally friendly processing techniques.The review evaluates the performance of arrowroot-derived nanocomposites against systems documented in the literature,including NCC-based shape memory composites and nanoparticle-reinforced films,demonstrating enhanced tensile strength,improved moisture barrier properties,and thermal stability,as well as potential piezoelectric response.This study recognizes arrowroot as a viable option in the biomass-based nanocellulose sector,providing ecological and functional benefits while tackling significant issues such as process scalability and feedstock variability,thereby offering important insights for the advancement of sustainable materials.展开更多
Continuous monitoring of biosignals is essential for advancing early disease detection,personalized treatment,and health management.Flexible electronics,capable of accurately monitoring biosignals in daily life,have g...Continuous monitoring of biosignals is essential for advancing early disease detection,personalized treatment,and health management.Flexible electronics,capable of accurately monitoring biosignals in daily life,have garnered considerable attention due to their softness,conformability,and biocompatibility.However,several challenges remain,including imperfect skin-device interfaces,limited breathability,and insufficient mechanoelectrical stability.On-skin epidermal electronics,distinguished by their excellent conformability,breathability,and mechanoelectrical robustness,offer a promising solution for high-fidelity,long-term health monitoring.These devices can seamlessly integrate with the human body,leading to transformative advancements in future personalized healthcare.This review provides a systematic examination of recent advancements in on-skin epidermal electronics,with particular emphasis on critical aspects including material science,structural design,desired properties,and practical applications.We explore various materials,considering their properties and the corresponding structural designs developed to construct high-performance epidermal electronics.We then discuss different approaches for achieving the desired device properties necessary for long-term health monitoring,including adhesiveness,breathability,and mechanoelectrical stability.Additionally,we summarize the diverse applications of these devices in monitoring biophysical and physiological signals.Finally,we address the challenges facing these devices and outline future prospects,offering insights into the ongoing development of on-skin epidermal electronics for long-term health monitoring.展开更多
Mortality prediction in respiratory health is challenging,especially when using large-scale clinical datasets composed primarily of categorical variables.Traditional digital twin(DT)frameworks often rely on longi-tudi...Mortality prediction in respiratory health is challenging,especially when using large-scale clinical datasets composed primarily of categorical variables.Traditional digital twin(DT)frameworks often rely on longi-tudinal or sensor-based data,which are not always available in public health contexts.In this article,we propose a novel proto-DT framework for mortality prediction in respiratory health using a large-scale categorical biomedical dataset.This dataset contains 415,711 severe acute respiratory infection cases from the Brazilian Unified Health System,including both COVID-19 and non-COVID-19 patients.Four classification models—extreme gradient boosting(XGBoost),logistic regression,random forest,and a deep neural network(DNN)—are trained using cost-sensitive learning to address class imbalance.The models are evaluated using accuracy,precision,recall,F1-score,and area under the curve(AUC)related to the receiver operating characteristic(ROC).The framework supports simulated interventions by modifying selected inputs and recalculating predicted mortality.Additionally,we incorporate multiple correspondence analysis and K-means clustering to explore model sensitivity.A Python library has been developed to ensure reproducibility.All models achieve AUC-ROC values near or above 0.85.XGBoost yields the highest accuracy(0.84),while the DNN achieves the highest recall(0.81).Scenario-based simulations reveal how key clinical factors,such as intensive care unit admission and oxygen support,affect predicted outcomes.The proposed proto-DT framework demonstrates the feasibility of mortality prediction and intervention simulation using categorical data alone.This framework provides a foundation for data-driven explainable DTs in public health,even in the absence of time-series data.展开更多
The biodegradable polybutylene succinate(PBS)material offers a sustainable solution for a circular economy to address the global issue of marine plastic waste.Its cross-linkage with non-biodegradable xanthan gum(XG)bi...The biodegradable polybutylene succinate(PBS)material offers a sustainable solution for a circular economy to address the global issue of marine plastic waste.Its cross-linkage with non-biodegradable xanthan gum(XG)biopolymer to ameliorate residual granitic soil(RGS)in arid and semiarid regions can significantly mitigate soil erosion.This study investigates the enhancement of RGS by cross-linking the PBS and XG biopolymers.Employing a multitude of geotechnical tests(liquid limit,linear shrinkage,specific gravity,compaction,and UCS tests)at 3 d,28 d,and 90 d of steam-curing at a controlled temperature of 16℃,the outcomes were validated through scanning electron microscopy(SEM),thermogravimetric analysis(TGA),Fourier transform infrared spectroscopy(FTIR),and Brunauer-Emmett-Teller(BET)analyses.In addition,a comprehensive experimental database of 150 tests and nine parameters from the current study was utilized to model the UCS90-d(i.e.unconfined compressive strength after 90 d of curing)of the PBS-XG-treated RGS mixtures by deploying the random forest(RF)and eXtreme Gradient Boost(XGBoost)methods.The results found that the two biopolymers significantly improve the mechanical properties of RGS,with optimal UCS achieved at specific dosages(0.4PBS,1.5XG,and 0.2PBS+1.5XG dosage levels)and curing times.The UCS of PBS-XG-treated RGS showed up to a 57%increase after 90 d of curing.Furthermore,SEM and FTIR analyses revealed the formation of stronger microstructures and chemical bonds,respectively,whereas BET analysis indicated that pore volume and diameter are critical in affecting UCS.The proposed RF model outperformed XGBoost in predictive accuracy and generalization,demonstrating robustness and versatility.Moreover,SHAP values highlighted the significant impact of input parameters on UCS90-d,with curing time and specific material properties being key determinants.The study concludes with the proposal of a novel PyCharm intuitive graphical user interface as a"UCS Prediction App"for engineers and practitioners to forecast the UCS90-d of granitic residual soil.展开更多
Valence state engineering has emerged as a powerful strategy to optimize catalytic performance by modulating the electronic structure of metal active sites.However,the valence state regulation in high-entropy compound...Valence state engineering has emerged as a powerful strategy to optimize catalytic performance by modulating the electronic structure of metal active sites.However,the valence state regulation in high-entropy compounds(HECs)remains elusive due to their complex multi-element components and electronic interactions.Here,the valence states of different metals in twodimensional(2D)high entropy oxide(HEO)(FeNiMoRuV)O_(2-x)are precisely modulated through controlled pyrolysis of corresponding 2D high entropy hydroxide(HEHO)(FeNiMoRuV)(OH)_(2)under varying temperatures.Temperature-controlled pyrolysis selectively reduces the oxidation state of Ru,while simultaneously increasing the valence state of other constituent metals(Fe,Ni,Mo,and V),suggesting a competitive redox equilibrium.Notably,these low-valence Ru sites with oxygen vacancy in 2D HEO significantly reduce Ru-O bond energy and promote the generation of O-^(O)intermediates,thereby enabling oxygen evolution with a lattice oxygen mediated-oxygen vacancy site mechanism.2D HEO with low-valence Ru exhibits superior electrolytic water performance(HER/OER)compared to HEHO and other HEO with high-valence Ru,achieving a current density of 1000 mA cm^(-2)at 1.923 V,which exceeds the commercial Pt/C‖RuO_(2)system.Therefore,this study reveals the valence state regulatory mechanism of HECs and provides a solid hammer for the catalytic mechanism of valence state engineering.展开更多
α-Chiral amides are common in pharmaceuticals,agrochemicals,natural products,and peptides,prompting the need for new synthetic methods.Here,we introduce a nickel-catalyzed asymmetric reductive amidation method to syn...α-Chiral amides are common in pharmaceuticals,agrochemicals,natural products,and peptides,prompting the need for new synthetic methods.Here,we introduce a nickel-catalyzed asymmetric reductive amidation method to synthesizeα-chiral amides from benzyl ammonium salts and isocyanates.The key to success is using a chiral 2,2-bipyridine ligand(-)-Ph-SBpy,enabling high yield(up to 95%)and enantiomeric ratio(up to 98:2 er)under mild conditions.Addition of phenol prevents isocyanate polymerization by reversibly forming a carbamate intermediate,enhancing selectivity and efficiency.The synthetic utility is showcased through transformations of the enantioenriched amides,and the mechanism and enantioselectivity are supported by experimental and computational studies.展开更多
Tilted metasurface nanostructures,with excellent physical properties and enormous application potential,pose an urgent need for manufacturing methods.Here,electric-field-driven generative-nanoimprinting technique is p...Tilted metasurface nanostructures,with excellent physical properties and enormous application potential,pose an urgent need for manufacturing methods.Here,electric-field-driven generative-nanoimprinting technique is proposed.The electric field applied between the template and the substrate drives the contact,tilting,filling,and holding processes.By accurately controlling the introduced included angle between the flexible template and the substrate,tilted nanostructures with a controllable angle are imprinted onto the substrate,although they are vertical on the template.By flexibly adjusting the electric field intensity and the included angle,large-area uniform-tilted,gradient-tilted,and high-angle-tilted nanostructures are fabricated.In contrast to traditional replication,the morphology of the nanoimprinting structure is extended to customized control.This work provides a cost-effective,efficient,and versatile technology for the fabrication of various large-area tilted metasurface structures.As an illustration,a tilted nanograting with a high coupling efficiency is fabricated and integrated into augmented reality displays,demonstrating superior imaging quality.展开更多
Regulating the critical process of proton migration from water dissociation for boosting alkaline hydrogen evolution reaction(HER)remains a challenge.Herein,we propose an electrostatic attraction strategy to achieve t...Regulating the critical process of proton migration from water dissociation for boosting alkaline hydrogen evolution reaction(HER)remains a challenge.Herein,we propose an electrostatic attraction strategy to achieve the migration of a highly efficient hydrogen species to Pt sites over Pt/Co@NC,which is obtained through a facile calcination and electrodeposition method.It exhibits an outstanding geometric activity(η_(10)=31 m V),which surpasses the commercial 20 wt%Pt/C(η_(10)=37 mV).Moreover,the mass activity of Pt/Co@NC is 5.6 A mg_(Pt)^(-1) at-50 mV vs.RHE,which is 2.23 times higher than that of 20 wt%Pt/C.Experimental and theoretical results indicate that the work function of the outer carbon layer,which is changed by the introduction of the inner cobalt core,plays a crucial role in reversing the direction of electron migration between the carbon layer and Pt.The negatively charged Pt^(δ-)can spontaneously attract positively charged protons via the electrostatic interaction effect,thereby achieving the directional migration of hydrogen species.This work presents a strategy for designing advanced alkaline HER electrocatalysts by the electrostatic effect.展开更多
Cochlear hair cell(HC)damage is a primary cause of sensorineural hearing loss.In this study,we performed metabolomic profiling of cochlear sensory epithelium following neomycin-induced HC injury and identified elevate...Cochlear hair cell(HC)damage is a primary cause of sensorineural hearing loss.In this study,we performed metabolomic profiling of cochlear sensory epithelium following neomycin-induced HC injury and identified elevated arginine metabolism as a key metabolic characteristic of damaged HCs.Using a highly sensitive and specific biosensor,we confirmed that injury induced an increase in arginine levels within cochlear HCs.By manipulating the levels of arginine and its downstream metabolites,we discovered that unmetabolized arginine exerts a strong protective effect on cochlear HCs,independent of its downstream metabolites,such as nitric oxide.Furthermore,integrated metabolomic and transcriptomic analyses revealed that arginine plays a critical role in reprogramming phospholipid metabolism.Arginine supplementation enhanced membrane phospholipid saturation through the Lands cycle and de novo lipogenesis,and protected HCs from phospholipid peroxidation-induced membrane damage and subsequent cell death.Notably,arginine supplementation protected hearing from both noise-and aminoglycoside-induced injury in mice.These findings underscore the role of unmetabolized arginine in modulating phospholipid metabolism and preventing membrane damage in cochlear HCs,highlighting that targeting phospholipid metabolism is an effective hearing protection strategy.展开更多
文摘Electrochemical synthesis of value-added chemicals represents a promising approach to address multidisciplinary demands.This technology establishes direct pathways for electricity-to-chemical conversion while significantly reducing the carbon footprint of chemical manufacturing.It simultaneously optimizes chemical energy storage and grid management,offering sustainable solutions for renewable energy utilization and overcoming geographical constraints in energy distribution.As a critical nexus between renewable energy and green chemistry,electrochemical synthesis serves dual roles in energy transformation and chemical production,emerging as a vital component in developing carbon-neutral circular economies.Focusing on key small molecules(H_(2)O,CO_(2),N_(2),O_(2)),this comment examines fundamental scientific challenges and practical barriers in electrocatalytic conversion processes,bridging laboratory innovations with industrial-scale implementation.
基金supported by the Deanship of Research at the King Fahd University of Petroleum&Minerals,Dhahran,31261,Saudi Arabia,under Project No.EC241001.
文摘Various factors,including weak tie-lines into the electric power system(EPS)networks,can lead to low-frequency oscillations(LFOs),which are considered an instant,non-threatening situation,but slow-acting and poisonous.Considering the challenge mentioned,this article proposes a clustering-based machine learning(ML)framework to enhance the stability of EPS networks by suppressing LFOs through real-time tuning of key power system stabilizer(PSS)parameters.To validate the proposed strategy,two distinct EPS networks are selected:the single-machine infinite-bus(SMIB)with a single-stage PSS and the unified power flow controller(UPFC)coordinated SMIB with a double-stage PSS.To generate data under various loading conditions for both networks,an efficient but offline meta-heuristic algorithm,namely the grey wolf optimizer(GWO),is used,with the loading conditions as inputs and the key PSS parameters as outputs.The generated loading conditions are then clustered using the fuzzy k-means(FKM)clustering method.Finally,the group method of data handling(GMDH)and long short-term memory(LSTM)ML models are developed for clustered data to predict PSS key parameters in real time for any loading condition.A few well-known statistical performance indices(SPI)are considered for validation and robustness of the training and testing procedure of the developed FKM-GMDH and FKM-LSTM models based on the prediction of PSS parameters.The performance of the ML models is also evaluated using three stability indices(i.e.,minimum damping ratio,eigenvalues,and time-domain simulations)after optimally tuned PSS with real-time estimated parameters under changing operating conditions.Besides,the outputs of the offline(GWO-based)metaheuristic model,proposed real-time(FKM-GMDH and FKM-LSTM)machine learning models,and previously reported literature models are compared.According to the results,the proposed methodology outperforms the others in enhancing the stability of the selected EPS networks by damping out the observed unwanted LFOs under various loading conditions.
基金Sri Ramaswamy Memorial University,Andhra Pradesh,India for providing fellowship。
文摘Coal mining activities significantly impact the environment through water,soil,and air pollution of the surrounding areas.The dispersal of pollutants and the degradation of soil quality by toxic metals emitted from coal mining activities cause significant concerns worldwide,posing serious risks to ecosystems,human health,and vegetation.Restoration of quality of soil contaminated by toxic metals from coal mining is challenging due to the continuous increase in the concentration of toxic metals such as lead,copper,chromium,cadmium,and arsenic within the soil matrix.Conventional approaches utilized for the remediation of soil are often time-consuming and labour-intensive.In addition,they may lead to secondary pollution,particularly when applied at a large scale.Phytoremediation,a technique that utilizes plants with high metal accumulation capacity,has surfaced as a promising,eco-friendly strategy for remediating soil contaminated with toxic metals.These plants can absorb and sequester metals into above-and belowground tissues or stabilize them into less bioavailable forms within the rhizosphere.Species from families such as Brassicaceae and Asteraceae have demonstrated notable effectiveness in phytoremediation applications.The efficiency of phytoremediation can be further enhanced by applying organic and inorganic soil amendments to increase metal bioavailability and plant uptake.Moreover,genetic engineering has enabled the development of plants with improved metal tolerance and accumulation capacities.Complementing these approaches,microbial phytoremediation employs plant-associated microbes to facilitate metal uptake and transformation,increasing the overall remediation efficiency.Following remediation,biomass is proposed for value-added applications,including biochar,biogas,and recovery of metals for industrial reuse.This review summarizes the current progress,emerging strategies,and future prospects of phytoremediation for mitigating toxic metal pollution in coal mining-affected soils.Altogether,these approaches illustrate the potential of integrating circular bioeconomy principles in transforming phytoremediation as a sustainable strategy for mitigating toxic metal pollution in coal mining regions.
基金supported by the National Natural Science Foundation of China(22202182)the Key Technology R&D Program of Henan Province(242102240088)the China Postdoctoral Science.
文摘Redox mediators(RMs)represent the most promising strategy to address the sluggish kinetics of lithium-oxygen(Li-O_(2))batteries.To achieve high-energy and cost-effective Li-O_(2)batteries,carbon materials are typically regarded as ideal cathodes in these systems.However,the impact of their surface properties—which often regulate specific discharge pathways—on the RM-mediated oxygen reduction reaction(ORR)remains unclear.In this study,CNTs electrodes with different surface properties are fabricated.Results suggest that CNTs with more surface defects not only promote the unmediated discharge pathway even in RMs-involved battery systems but also exacerbate the corrosion of carbon cathodes.This,in turn,leads to the undesired accumulation of Li_(2)O_(2)and Li_(2)CO_(3)on the cathode surface,which hinders effective and continuous electron transfer between the cathode and RMs,ultimately decreasing the catalytic activity of RMs.As a result,the discharge capacity of the battery is seriously diminished,especially at large current densities.These findings underscore the significance of surface engineering in advancing the performance of RMs-assisted Li-O_(2)batteries.
基金the financial support from the Shandong Province colleges and universities youth innovation technology plan innovation team project(2022KJ285)the Natural Science Foundation of Shandong Province(ZR2022QE076)+1 种基金the National Natural Science Foundation of China(52202092)the Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China(2023KJ104).
文摘Exploring high-performance electrocatalysts for the nitrate reduction reaction(NO_(3)RR)is crucial for environmental nitrate removal and ammonia synthesis.Single-atom collaboration with cluster can provide sufficient active sites for catalysts to promote NO_(3)RR,yet the unclear synergistic effect between the two hinders their rational design.Herein,a series of Ir_(3)clusters and metal single atoms co-embedded in graphitic carbon nitride(g-CN)catalysts(Ir_(3)M1)were constructed,and the synergistic effects of Ir_(3)clusters and M1 single atoms on the NO_(3)RR catalytic mechanism and activity were systematically explored using density functional theory(DFT)calculations combined with machine learning.Comprehensive evaluations of structural stability and catalytic activity demonstrate that the synergy between single atoms and clusters effectively balances the adsorption energies of key intermediates,yielding exceptional catalytic performance(the limiting potential of Ir_(3)Ti_(1)can reach−0.22 V).Machine learning models further clarify the synergistic mechanism,where the geometric configurations of clusters serve as critical features for modulating the catalytic activity of single-atom sites,whereas the electronic structures of single atoms directly govern the reactivity of cluster sites.This DFT-machine learning approach provides theoretical guidelines for catalyst design and a predictive framework for efficient NO_(3)RR electrocatalysts.
基金supported by Shenzhen Science and Technology Program(No.JCYJ20240813103608012)State Key Laboratory of New Textile Materials andAdvanced Processing Technologies(No.FZ2024019)National Natural Science Foundation of China(No.22104117).
文摘Nowadays,higher requirements are put forward to the storage and utilization of energy,and supercapacitor is a kind of energy storage electronic devices.The resulting CA-N,with a specific surface area of 320.6 m^(2)/g and a pore volume of 0.28 cm^(3)/g,demonstrated a remarkable supercapacitance of 283.3 F/g.As a mesoporous material,CA-N offers numerous channels for the diffusion and absorption of electrolyte ions.Furthermore,it exhibited an impressive capacity retention rate of 98.48% after 5000 charge-discharge cycles.These outstanding electrochemical properties highlight the potential of CA-N for applications in energy storage.
基金supported by the National Key R&D Program of China(Grant Nos.2020YFA0711500 and 2020YFA0711503)the National Natural Science Foundation of China(Grant Nos.T2488302,T2342010,52076127)+5 种基金the Natural Science Foundation of Shanghai(Grant Nos.20ZR1471700,22JC1401800,and 24Z511405472)the State Key Laboratory of Mechanical System and Vibration(Grant Nos.MSVZD202211,MSVZD202301,and MSVZD202401)Shanghai Jiao Tong University 2030 InitiativeShanghai Jiao Tong University Si Yuan Scholar Programthe Student Innovation Center and the Instrumental Analysis Center at Shanghai Jiao Tong Universitysupport by Shanghai Jiao Tong University 2030 Initiative。
文摘The electrocaloric(EC)effect refers to the change in the polarization entropy and/or temperature of dielectric materials when an electric field is applied and removed.EC refrigeration has received increasing interest as an alternative to conventional refrigeration technologies because it provides both high energy efficiency and zero global warming potential.In this review,we first introduce the thermodynamic fundamentals of the EC effect and the mechanism of EC refrigeration cycles.We then present recent advances in EC cooling technologies,from material improvements to device demonstrations,including a critical analysis of existing material and device characterization methodologies and a discussion of how to reliably measure the parameters of materials and devices.Finally,the current challenges and possible future prospects for EC cooling technology are outlined.
基金The financial support from the National Natural Science Foundation of China (Nos.22150410339,W2432012,22301237 and 22171218)the Ministry of Science and Technology China (No.wgxz2022188) is greatly acknowledged。
文摘Radical cycloaddition reactions(RCRs) are highly effective methods for constructing complex carbo-and heterocycles,which are frequently encountered in natural products that exhibit intriguing biological properties and hold significant potential for applications in medicinal chemistry.Radical-mediated cycloaddition strategies,which recycle radical character,are particularly appealing because they require only a catalytic amount of reagent and promise reactions with theoretically high atom economy.This review focuses on recent developments and synthetic applications in RCRs,with an emphasis on visible lightinduced radical photocycloaddition reactions(RPCRs),transition metal-catalyzed approaches,and small molecule-catalyzed methods.By highlighting some outstanding innovations and addressing current challenges,this review aims to identify potential areas for improvement.These advancements will provide more efficient pathways for the synthesis of natural product molecules and offer valuable insights for the development of new synthetic methodologies.
基金financially supported by the Natural Science Foundation of Shandong Province (No.ZR2022QE076)the National Natural Science Foundation of China (No.52202092)the Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China (No.2023KJ104)。
文摘Electrochemical CO_(2) reduction reaction(CO_(2)RR) into valuable formate provides a strategy for carbon neutrality.Bismuth(Bi) catalysts,attributed to their appropriate energy barrier of OCHO*intermediate,have demonstrated substantial potential for the advancement of electrocatalytic CO_(2) reduction to formate.However,due to the weak bonding of protons(H^(*)) of Bi,the available protonate of CO_(2) on Bi is insufficient,which limits the formation of OCHO^(*).Prediction by theoretical calculation,chlorine doping can effectively promote the dissociation of H_(2)O and thus achieve effective proton supply.We prepare chlorine-doped Bi(Cl-Bi) via an electrochemical conversion strategy for electroreduction of CO_(2) .An obvious improvement of faradaic efficiency(FE) of formate(96.7% at-0.95 V vs.RHE) can be achieved on Cl-Bi,higher than that of Bi(89.4%).Meanwhile,Cl-Bi has the highest formate production rate of 275 μmol h^(-1)cm^(-2)at-0.95 V vs.RHE,which is 1.2 times higher than that of Bi(224 μmol h^(-1)cm^(-2)).In situ characterizations and kinetic analysis reveal that chlorine doping promotes the activation of H_(2)O and supply sufficient protons to promote the protonation of CO_(2) to OCHO^(*),which is consistent with theoretical calculation.The study presents an effective strategy for rational design of highly efficient electrocatalysts to promote green chemical production.
基金supported by Natural Science Foundation of Shandong Province(ZR2023ME155 and ZR2023ME085)the project of“20 Items of University”of Jinan(202228046)the Taishan Scholar Project of Shandong Province(tsqn202306226 and tsqn202211171).
文摘Supercapacitors represent one specific class of energy storage devices that bridge the gap between traditional capacitors and batteries.In current work,δ-MnO_(2) nanoflakes arrayed on electrochemically exfoliated graphene(EEG)nanosheets were easily made as one composited electrode material for boosting the charge storage performances of supercapacitors.Coupled with the fluent electron and ion transport from two-dimensional EEG nanosheets,the uniformly anchoredδ-MnO_(2) nanoflake arrays present high reversible capacity,superior cycling stability,and unique rate capability.As expected,the MnO_(2)/EEG-10 electrode delivers high specific capacitance of 190 F·g^(−1) at 0.2 A·g^(−1),and holds 97.3%of its initial capacitance after 10000 cycles at 5 A·g^(−1).Furthermore,an asymmetrical supercapacitor using MnO_(2)/EEG-10 as the positive electrode achieves an energy density of 17.7 W·h·kg^(−1) at a power density of 922.7 W·kg^(−1) with 82.9%capacity retention upon 10000 cycles at 5 A·g^(−1).This work highlights the facile fabrication of high-performance MnO_(2)/graphene composites with excellent structure stability using graphene nanosheets as the conductive matrix.
基金supported by the National Natural Science Foundation of China (Grant Nos.T2325004 and 52161160330)the National Natural Science Foundation of China (Grants No.12504233)+2 种基金Advanced MaterialsNational Science and Technology Major Project (Grant No.2024ZD0606900)the Talent Hub for “AI+New Materials” Basic Researchthe Key Research and Development Program of Ningbo (Grant No.2025Z088)。
文摘The functional properties of glasses are governed by their formation history and the complex relaxation processes they undergo.However,under extreme conditions,glass behaviors are still elusive.In this study,we employ simulations with varied protocols to evaluate the effectiveness of different descriptors in predicting mechanical properties across both low-and high-pressure regimes.Our findings demonstrate that conventional structural and configurational descriptors fail to correlate with the mechanical response following pressure release,whereas the activation energy descriptor exhibits robust linearity with shear modulus after correcting for pressure effects.Notably,the soft mode parameter emerges as an ideal and computationally efficient alternative for capturing this mechanical behavior.These findings provide critical insights into the influence of pressure on glassy properties,integrating the distinct features of compressed glasses into a unified theoretical framework.
基金the financial support provided by Universiti Putra Malaysiasupported by the Matching Grant(9300489).
文摘This review draws attention to the innovative use of arrowroot(Maranta arundinacea)fiber as a unique and underutilized biomass source for nanocrystalline cellulose(NCC)-based nanocomposites,presenting a noteworthy alternative to extensively researched materials like wood pulp,bacterial cellulose,and chemically modified NCCs.In contrast to traditional sources,arrowroot possesses a naturally elevated cellulose and diminished lignin content,facilitating more effective NCC extraction requiring reduced chemical input and enabling environmentally friendly processing techniques.The review evaluates the performance of arrowroot-derived nanocomposites against systems documented in the literature,including NCC-based shape memory composites and nanoparticle-reinforced films,demonstrating enhanced tensile strength,improved moisture barrier properties,and thermal stability,as well as potential piezoelectric response.This study recognizes arrowroot as a viable option in the biomass-based nanocellulose sector,providing ecological and functional benefits while tackling significant issues such as process scalability and feedstock variability,thereby offering important insights for the advancement of sustainable materials.
基金supported by National Natural Science Foundation of China(Grant Nos.52025055,52375576,52350349)Key Research and Development Program of Shaanxi(Program No.2022GXLH-01-12)+2 种基金Joint Fund of Ministry of Education for Equipment Pre-research(No.8091B03012304)Aeronautical Science Foundation of China(No.2022004607001)the Fundamental Research Funds for the Central Universities(No.xtr072024031).
文摘Continuous monitoring of biosignals is essential for advancing early disease detection,personalized treatment,and health management.Flexible electronics,capable of accurately monitoring biosignals in daily life,have garnered considerable attention due to their softness,conformability,and biocompatibility.However,several challenges remain,including imperfect skin-device interfaces,limited breathability,and insufficient mechanoelectrical stability.On-skin epidermal electronics,distinguished by their excellent conformability,breathability,and mechanoelectrical robustness,offer a promising solution for high-fidelity,long-term health monitoring.These devices can seamlessly integrate with the human body,leading to transformative advancements in future personalized healthcare.This review provides a systematic examination of recent advancements in on-skin epidermal electronics,with particular emphasis on critical aspects including material science,structural design,desired properties,and practical applications.We explore various materials,considering their properties and the corresponding structural designs developed to construct high-performance epidermal electronics.We then discuss different approaches for achieving the desired device properties necessary for long-term health monitoring,including adhesiveness,breathability,and mechanoelectrical stability.Additionally,we summarize the diverse applications of these devices in monitoring biophysical and physiological signals.Finally,we address the challenges facing these devices and outline future prospects,offering insights into the ongoing development of on-skin epidermal electronics for long-term health monitoring.
文摘Mortality prediction in respiratory health is challenging,especially when using large-scale clinical datasets composed primarily of categorical variables.Traditional digital twin(DT)frameworks often rely on longi-tudinal or sensor-based data,which are not always available in public health contexts.In this article,we propose a novel proto-DT framework for mortality prediction in respiratory health using a large-scale categorical biomedical dataset.This dataset contains 415,711 severe acute respiratory infection cases from the Brazilian Unified Health System,including both COVID-19 and non-COVID-19 patients.Four classification models—extreme gradient boosting(XGBoost),logistic regression,random forest,and a deep neural network(DNN)—are trained using cost-sensitive learning to address class imbalance.The models are evaluated using accuracy,precision,recall,F1-score,and area under the curve(AUC)related to the receiver operating characteristic(ROC).The framework supports simulated interventions by modifying selected inputs and recalculating predicted mortality.Additionally,we incorporate multiple correspondence analysis and K-means clustering to explore model sensitivity.A Python library has been developed to ensure reproducibility.All models achieve AUC-ROC values near or above 0.85.XGBoost yields the highest accuracy(0.84),while the DNN achieves the highest recall(0.81).Scenario-based simulations reveal how key clinical factors,such as intensive care unit admission and oxygen support,affect predicted outcomes.The proposed proto-DT framework demonstrates the feasibility of mortality prediction and intervention simulation using categorical data alone.This framework provides a foundation for data-driven explainable DTs in public health,even in the absence of time-series data.
基金supported by the National Natural Science Foundation of China(Grant Nos.52379104 and 52090084).
文摘The biodegradable polybutylene succinate(PBS)material offers a sustainable solution for a circular economy to address the global issue of marine plastic waste.Its cross-linkage with non-biodegradable xanthan gum(XG)biopolymer to ameliorate residual granitic soil(RGS)in arid and semiarid regions can significantly mitigate soil erosion.This study investigates the enhancement of RGS by cross-linking the PBS and XG biopolymers.Employing a multitude of geotechnical tests(liquid limit,linear shrinkage,specific gravity,compaction,and UCS tests)at 3 d,28 d,and 90 d of steam-curing at a controlled temperature of 16℃,the outcomes were validated through scanning electron microscopy(SEM),thermogravimetric analysis(TGA),Fourier transform infrared spectroscopy(FTIR),and Brunauer-Emmett-Teller(BET)analyses.In addition,a comprehensive experimental database of 150 tests and nine parameters from the current study was utilized to model the UCS90-d(i.e.unconfined compressive strength after 90 d of curing)of the PBS-XG-treated RGS mixtures by deploying the random forest(RF)and eXtreme Gradient Boost(XGBoost)methods.The results found that the two biopolymers significantly improve the mechanical properties of RGS,with optimal UCS achieved at specific dosages(0.4PBS,1.5XG,and 0.2PBS+1.5XG dosage levels)and curing times.The UCS of PBS-XG-treated RGS showed up to a 57%increase after 90 d of curing.Furthermore,SEM and FTIR analyses revealed the formation of stronger microstructures and chemical bonds,respectively,whereas BET analysis indicated that pore volume and diameter are critical in affecting UCS.The proposed RF model outperformed XGBoost in predictive accuracy and generalization,demonstrating robustness and versatility.Moreover,SHAP values highlighted the significant impact of input parameters on UCS90-d,with curing time and specific material properties being key determinants.The study concludes with the proposal of a novel PyCharm intuitive graphical user interface as a"UCS Prediction App"for engineers and practitioners to forecast the UCS90-d of granitic residual soil.
基金supported by the National Natural Science Foundation of China(22205209)China Postdoctoral Science Foundation(2024T170837 and2022M722867)+2 种基金Joint Fund for Provincial Scientific Research and Development Plan of Henan Province(242301420039)the Key Research Projects of Higher Education Institutions of Henan Province(24A530009)Special Fund for Young Teachers from the Zhengzhou University(JC23257011)。
文摘Valence state engineering has emerged as a powerful strategy to optimize catalytic performance by modulating the electronic structure of metal active sites.However,the valence state regulation in high-entropy compounds(HECs)remains elusive due to their complex multi-element components and electronic interactions.Here,the valence states of different metals in twodimensional(2D)high entropy oxide(HEO)(FeNiMoRuV)O_(2-x)are precisely modulated through controlled pyrolysis of corresponding 2D high entropy hydroxide(HEHO)(FeNiMoRuV)(OH)_(2)under varying temperatures.Temperature-controlled pyrolysis selectively reduces the oxidation state of Ru,while simultaneously increasing the valence state of other constituent metals(Fe,Ni,Mo,and V),suggesting a competitive redox equilibrium.Notably,these low-valence Ru sites with oxygen vacancy in 2D HEO significantly reduce Ru-O bond energy and promote the generation of O-^(O)intermediates,thereby enabling oxygen evolution with a lattice oxygen mediated-oxygen vacancy site mechanism.2D HEO with low-valence Ru exhibits superior electrolytic water performance(HER/OER)compared to HEHO and other HEO with high-valence Ru,achieving a current density of 1000 mA cm^(-2)at 1.923 V,which exceeds the commercial Pt/C‖RuO_(2)system.Therefore,this study reveals the valence state regulatory mechanism of HECs and provides a solid hammer for the catalytic mechanism of valence state engineering.
基金the National Natural Science Foundation of China(Nos.22150410339,W2432012,22301233 and 22171218)the Ministry of Science and Technology China(No.wgxz2022188)。
文摘α-Chiral amides are common in pharmaceuticals,agrochemicals,natural products,and peptides,prompting the need for new synthetic methods.Here,we introduce a nickel-catalyzed asymmetric reductive amidation method to synthesizeα-chiral amides from benzyl ammonium salts and isocyanates.The key to success is using a chiral 2,2-bipyridine ligand(-)-Ph-SBpy,enabling high yield(up to 95%)and enantiomeric ratio(up to 98:2 er)under mild conditions.Addition of phenol prevents isocyanate polymerization by reversibly forming a carbamate intermediate,enhancing selectivity and efficiency.The synthetic utility is showcased through transformations of the enantioenriched amides,and the mechanism and enantioselectivity are supported by experimental and computational studies.
基金supported by National Natural Science Foundation of China(No.52025055 and 52275571)Basic Research Operation Fund of China(No.xzy012024024).
文摘Tilted metasurface nanostructures,with excellent physical properties and enormous application potential,pose an urgent need for manufacturing methods.Here,electric-field-driven generative-nanoimprinting technique is proposed.The electric field applied between the template and the substrate drives the contact,tilting,filling,and holding processes.By accurately controlling the introduced included angle between the flexible template and the substrate,tilted nanostructures with a controllable angle are imprinted onto the substrate,although they are vertical on the template.By flexibly adjusting the electric field intensity and the included angle,large-area uniform-tilted,gradient-tilted,and high-angle-tilted nanostructures are fabricated.In contrast to traditional replication,the morphology of the nanoimprinting structure is extended to customized control.This work provides a cost-effective,efficient,and versatile technology for the fabrication of various large-area tilted metasurface structures.As an illustration,a tilted nanograting with a high coupling efficiency is fabricated and integrated into augmented reality displays,demonstrating superior imaging quality.
基金financially supported by the Natural Science Foundation of the Jiangsu Higher Education Institutions of China(23KJB610003)the Natural Science Foundation of Jiangsu Province(BK20240339)+2 种基金the Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China(No.2023KJ104)the National Natural Science Foundation of China(No.52202092)the Natural Science Foundation of Shandong Province(No.ZR2022QE076)。
文摘Regulating the critical process of proton migration from water dissociation for boosting alkaline hydrogen evolution reaction(HER)remains a challenge.Herein,we propose an electrostatic attraction strategy to achieve the migration of a highly efficient hydrogen species to Pt sites over Pt/Co@NC,which is obtained through a facile calcination and electrodeposition method.It exhibits an outstanding geometric activity(η_(10)=31 m V),which surpasses the commercial 20 wt%Pt/C(η_(10)=37 mV).Moreover,the mass activity of Pt/Co@NC is 5.6 A mg_(Pt)^(-1) at-50 mV vs.RHE,which is 2.23 times higher than that of 20 wt%Pt/C.Experimental and theoretical results indicate that the work function of the outer carbon layer,which is changed by the introduction of the inner cobalt core,plays a crucial role in reversing the direction of electron migration between the carbon layer and Pt.The negatively charged Pt^(δ-)can spontaneously attract positively charged protons via the electrostatic interaction effect,thereby achieving the directional migration of hydrogen species.This work presents a strategy for designing advanced alkaline HER electrocatalysts by the electrostatic effect.
基金supported by the National Natural Science Foundation of China(82271159,82425018,82071049,81830029,82192860,81922018,82201283,82101219,and 82192861)Shanghai Clinical Medical Research Center for Otolaryngology Diseases(20MC1920200)the STI2030-Major Projects(2022ZD0205400).
文摘Cochlear hair cell(HC)damage is a primary cause of sensorineural hearing loss.In this study,we performed metabolomic profiling of cochlear sensory epithelium following neomycin-induced HC injury and identified elevated arginine metabolism as a key metabolic characteristic of damaged HCs.Using a highly sensitive and specific biosensor,we confirmed that injury induced an increase in arginine levels within cochlear HCs.By manipulating the levels of arginine and its downstream metabolites,we discovered that unmetabolized arginine exerts a strong protective effect on cochlear HCs,independent of its downstream metabolites,such as nitric oxide.Furthermore,integrated metabolomic and transcriptomic analyses revealed that arginine plays a critical role in reprogramming phospholipid metabolism.Arginine supplementation enhanced membrane phospholipid saturation through the Lands cycle and de novo lipogenesis,and protected HCs from phospholipid peroxidation-induced membrane damage and subsequent cell death.Notably,arginine supplementation protected hearing from both noise-and aminoglycoside-induced injury in mice.These findings underscore the role of unmetabolized arginine in modulating phospholipid metabolism and preventing membrane damage in cochlear HCs,highlighting that targeting phospholipid metabolism is an effective hearing protection strategy.
