We incorporate a non-Markovian feedback mechanism into the simulated bifurcation method for dynamical solvers addressing combinatorial optimization problems.By reinjecting a portion of dissipated kinetic energy into e...We incorporate a non-Markovian feedback mechanism into the simulated bifurcation method for dynamical solvers addressing combinatorial optimization problems.By reinjecting a portion of dissipated kinetic energy into each spin in a history-dependent and trajectory-informed manner,the method effectively suppresses early freezing induced by inelastic boundaries and enhances the system's ability to explore complex energy landscapes.Numerical results on the maximum cut(MAX-CUT)instances of fully connected Sherrington–Kirkpatrick(SK)spin glass models,including the 2000-spin K_(2000)benchmark,demonstrate that the non-Markovian algorithm significantly improves both solution quality and convergence speed.Tests on randomly generated SK instances with 100 to 1000 spins further indicate favorable scalability and substantial gains in computational efficiency.Moreover,the proposed scheme is well suited for massively parallel hardware implementations,such as field-programmable gate arrays,providing a practical and scalable approach for solving large-scale combinatorial optimization problems.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
Groundwater is a key part of the terrestrial ecosystem,but it is vulnerable to pollution in the context of chemical industry development.Treating contaminated groundwater is challenging due to its stable water quality...Groundwater is a key part of the terrestrial ecosystem,but it is vulnerable to pollution in the context of chemical industry development.Treating contaminated groundwater is challenging due to its stable water quality,hidden contamination,and complex treatment requirements.Current research focuses on advanced treatment technologies,among which the advanced oxidation process(AOPs) of peroxomonosulfate(PMS) has great potential.Although there are many reviews of PMS-based AOP,most of them focus on surface water.This review aims to explore the activation reaction of PMS to groundwater by in-situ chemical oxidation(ISCO) technology,further study the reaction mechanism,compare the treatment effect of characteristic pollutants in the groundwater of the chemical industry park,propose new activation methods and catalyst selection,and provide guidance for future groundwater treatment research.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
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
Dear Editor,The Cay2.1 channel,also known as the P/Q-type Ca^(2+) channel,is a particular type of voltage-gated Ca^(2+) channel primarily expressed on the presynaptic membrane in the brain[1].It serves as an essential...Dear Editor,The Cay2.1 channel,also known as the P/Q-type Ca^(2+) channel,is a particular type of voltage-gated Ca^(2+) channel primarily expressed on the presynaptic membrane in the brain[1].It serves as an essential part of the precisely orchestrated neurotransmitter release machinery.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
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
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
Handedness is a fundamental behavioral trait in humans,with the majority exhibiting right-hand dominance.While its origins remain elusive,it is considered an innate genetic trait.This study demonstrates pawedness in m...Handedness is a fundamental behavioral trait in humans,with the majority exhibiting right-hand dominance.While its origins remain elusive,it is considered an innate genetic trait.This study demonstrates pawedness in mice(n=473),comparable to human handedness,as an acquired trait rapidly emerging after limited unilateral paw training.Notably,acquired right-pawedness demonstrates greater conservativeness compared to left-pawedness,as evidenced by stronger stability and greater resistance to reversal.This results in a population right-paw dominance under random training conditions.Moreover,acquired pawedness also exhibits sex differences,with the initial preference proving more malleable in females.These findings unveil the acquired features of pawedness in mice.By illuminating possible behavioral laterality commonalities across species,the study proposes a postnatal hypothesis for the origins of human handedness:it is not an innate genetic trait as traditionally believed,but rather an environmentally acquired stable behavior whose development is actively guided by genetic predispositions.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
BACKGROUND Single-nucleotide polymorphisms(SNPs)of the serotonin type 3 receptor subunit(HTR3)genes have been associated with psychosomatic symptoms,but it is not clear whether these associations exist in irritable bo...BACKGROUND Single-nucleotide polymorphisms(SNPs)of the serotonin type 3 receptor subunit(HTR3)genes have been associated with psychosomatic symptoms,but it is not clear whether these associations exist in irritable bowel syndrome(IBS).AIM To assess the association of HTR3 polymorphisms with depressive,anxiety,and somatization symptoms in individuals with IBS.METHODS In this retrospective study,623 participants with IBS were recruited from five specialty centers in Germany,Sweden,the United States,the United Kingdom,and Ireland.Depressive,anxiety,and somatization symptoms and sociodemographic characteristics were collected.Four functional SNPs—HTR3A c.-42C>T,HTR3B c.386A>C,HTR3C c.489C>A,and HTR3E c.*76G>A—were genotyped and analyzed using the dominant and recessive models.We also performed separate analyses for sex and IBS subtypes.SNP scores were calculated as the number of minor alleles of the SNPs above.The impact of HTR3C c.489C>A was tested by radioligand-binding and calcium influx assays.RESULTS Depressive and anxiety symptoms significantly worsened with increasing numbers of minor HTR3C c.489C>A alleles in the dominant model(F_(depressive)=7.475,P_(depressive)=0.006;F_(anxiety)=6.535,P_(anxiety)=0.011).A higher SNP score(range 0-6)was linked to a worsened depressive symptoms score(F=7.710,P-linear trend=0.006)in IBS.The potential relevance of the HTR3C SNP was corroborated,showing changes in the expression level of 5-HT3AC variant receptors.CONCLUSION We have provided the first evidence that HTR3C c.489C>A is involved in depressive and anxiety symptoms in individuals with IBS.The SNP score indicated that an increasing number of minor alleles is linked to the worsening of depressive symptoms in IBS.展开更多
Nitrogenous compounds(i.e.,amines,amides,nitriles,oximes,amino acids and nitrogen-heterocycles derivatives)are important building blocks for synthetic chemistry,pharmaceuticals,and functional materials.Conventional sy...Nitrogenous compounds(i.e.,amines,amides,nitriles,oximes,amino acids and nitrogen-heterocycles derivatives)are important building blocks for synthetic chemistry,pharmaceuticals,and functional materials.Conventional synthetic strategies involve the use of toxic organic nitrogenous precursors or expensive heterogeneous catalysts under elevated temperatures and pressurized oxygen.Heterogeneous electrocatalysis can initiate the activation of inorganic N sources(i.e.,NH_(3)and NO^(-)_(x))under ambient reactions in liquid phase by applying a small bias,thus allowing the synthesis of value?added nitrogenous compounds from carbonyls,alkenes,keto acids,and even carbon dioxide in a sustainable manner without the use of oxidants/reductants.This review outlines recent de-velopments in electrosynthesis of nitrogenous compounds using inorganic N sources,focusing on reaction mechanisms understanding,the design and optimization of efficient electrocatalysts,and the advances in cell configurations for various C‒N coupling reactions.The limitations and challenges in applications are also discussed.展开更多
The metabolite lactate (L-lactate) can be generated and released by diverse brain cells,including neurons,astrocytes,and oligodendrocytes (Kann,2023;Rae et al.,2024).Lactate production usually requires the degradation...The metabolite lactate (L-lactate) can be generated and released by diverse brain cells,including neurons,astrocytes,and oligodendrocytes (Kann,2023;Rae et al.,2024).Lactate production usually requires the degradation of glucose (D-glucose)-and glycogen in astrocytes-to pyruvate by glycolysis and subsequent conversion of pyruvate to lactate by the enzyme lactate dehydrogenase(Figure 1A;Dienel,2019;Rae et al.,2024).展开更多
Rare earth metal elements include lanthanide elements as well as scandium and yttrium,totaling seventeen metal elements.Due to the wide application prospects of rare earth metal elements in various fields such as lumi...Rare earth metal elements include lanthanide elements as well as scandium and yttrium,totaling seventeen metal elements.Due to the wide application prospects of rare earth metal elements in various fields such as luminescent materials,magnetic materials,catalytic materials,electronic devices,they have an important strategic position.In the field of electrocatalysis,rare earth metal elements have great potential for development due to their unique 4f electron layer structure,spin orbit coupling,high reactivity,controllable coordination number,and rich optical properties.However,there is currently a lack of systematic reviews on the modification strategies of rare earth metal elements and the latest developments in electrocatalysis.Therefore,in order to stimulate the enthusiasm of researchers,this review focuses on the application progress of rare earth metal element modified metal oxides in multiple fields such as wastewater treatment,hydrogen peroxide synthesis,hydrogen evolution reaction(HER),carbon dioxide reduction reaction(CO_(2)RR),nitrogen reduction reaction(NRR)and machine learning assisted research.In depth analysis of its electrocatalytic mechanism in various application scenarios and key factors affecting electrocatalytic performance.This review is of great significance for further developing high-performance and multifunctional electrocatalysts,and is expected to provide strong support for the development of energy,environment,and chemical industries.展开更多
Batteries play a crucial role in the storage and application of sustainable energy,yet their inherent safety risks are non-negligible.Traditional monitoring methods often suffer from high costs,time consumption,and li...Batteries play a crucial role in the storage and application of sustainable energy,yet their inherent safety risks are non-negligible.Traditional monitoring methods often suffer from high costs,time consumption,and limited scalability,making it increasingly difficult to meet the evolving demands of modern society.In this context,recent advancements in machine learning technology have emerged as a promising solution for predicting and monitoring battery states,offering innovative approaches to battery management systems(BMS).By transforming raw operational data into actionable insights,machine learning has shifted the paradigm from reactive to predictive battery safety management,significantly enhancing system reliability and risk mitigation capabilities.This review delves into the implementation of machine learning in battery state prediction,including dataset selection,feature extraction,and model training.It also highlights the latest progress of these models in key applications such as state of health(SOH),state of charge(SOC),thermal runaway warning,fault detection,and remaining useful life(RUL).Finally,we critically examined the challenges and opportunities associated with leveraging machine learning to improve battery safety and performance,providing a comprehensive perspective for future research in this rapidly advancing field.展开更多
Point defect engineering endows catalysts with novel physical and chemical properties,elevating their electrocatalytic efficiency.The introduction of defects emerges as a promising strategy,effectively modifying the e...Point defect engineering endows catalysts with novel physical and chemical properties,elevating their electrocatalytic efficiency.The introduction of defects emerges as a promising strategy,effectively modifying the electronic structure of active sites.This optimization influences the adsorption energy of intermediates,thereby mitigating reaction energy barriers,altering paths,enhancing selectivity,and ultimately improving the catalytic efficiency of electrocatalysts.To elucidate the impact of defects on the electrocatalytic process,we comprehensively outline the roles of various point defects,their synthetic methodologies,and characterization techniques.Importantly,we consolidate insights into the relationship between point defects and catalytic activity for hydrogen/oxygen evolution and CO_(2)/O_(2)/N_(2) reduction reactions by integrating mechanisms from diverse reactions.This underscores the pivotal role of point defects in enhancing catalytic performance.At last,the principal challenges and prospects associated with point defects in current electrocatalysts are proposed,emphasizing their role in advancing the efficiency of electrochemical energy storage and conversion materials.展开更多
基金supported by the National Key Research and Development Program of China(Grant No.2024YFA1408500)the National Natural Science Foundation of China(Grant Nos.12174028 and 12574115)the Open Fund of the State Key Laboratory of Spintronics Devices and Technologies(Grant No.SPL-2408)。
文摘We incorporate a non-Markovian feedback mechanism into the simulated bifurcation method for dynamical solvers addressing combinatorial optimization problems.By reinjecting a portion of dissipated kinetic energy into each spin in a history-dependent and trajectory-informed manner,the method effectively suppresses early freezing induced by inelastic boundaries and enhances the system's ability to explore complex energy landscapes.Numerical results on the maximum cut(MAX-CUT)instances of fully connected Sherrington–Kirkpatrick(SK)spin glass models,including the 2000-spin K_(2000)benchmark,demonstrate that the non-Markovian algorithm significantly improves both solution quality and convergence speed.Tests on randomly generated SK instances with 100 to 1000 spins further indicate favorable scalability and substantial gains in computational efficiency.Moreover,the proposed scheme is well suited for massively parallel hardware implementations,such as field-programmable gate arrays,providing a practical and scalable approach for solving large-scale combinatorial optimization problems.
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supported by the National Key Research and Development Program of China (No.2023YFC3708005)the National Natural Science Foundation of China (Nos.21872102,22172080)the Fundamental Research Funds for the Central Universities (Nankai University,No.63241208)。
文摘Groundwater is a key part of the terrestrial ecosystem,but it is vulnerable to pollution in the context of chemical industry development.Treating contaminated groundwater is challenging due to its stable water quality,hidden contamination,and complex treatment requirements.Current research focuses on advanced treatment technologies,among which the advanced oxidation process(AOPs) of peroxomonosulfate(PMS) has great potential.Although there are many reviews of PMS-based AOP,most of them focus on surface water.This review aims to explore the activation reaction of PMS to groundwater by in-situ chemical oxidation(ISCO) technology,further study the reaction mechanism,compare the treatment effect of characteristic pollutants in the groundwater of the chemical industry park,propose new activation methods and catalyst selection,and provide guidance for future groundwater treatment research.
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supported by the National Natural Science Foundation of China(32100773 and U20A6005)the National Science and Technology Innovation 2030-Major Project of China(2021ZD0202500)+4 种基金Shenzhen Medical Research Fund(B2402024)China Postdoctoral Science Foundation(2021M693296)Shenzhen Science and Technology Program(JCYJ20230807093815032)Guangdong High-level Hospital Construction Fund(ynkt2021-zz33 and LCYJ2022093)the Natural Science Foundation of Guangdong Province,China(2022A1515010297).
文摘Dear Editor,The Cay2.1 channel,also known as the P/Q-type Ca^(2+) channel,is a particular type of voltage-gated Ca^(2+) channel primarily expressed on the presynaptic membrane in the brain[1].It serves as an essential part of the precisely orchestrated neurotransmitter release machinery.
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.
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 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supported by grants from the National Natural Science Foundation of China,China(32470630 to Z.S.)the Scientific Foundation of the Institute of Psychology,Chinese Academy of Sciences,China(E2CX4115CX to J.W.)State Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management,China(SKLA2508 to Y.W.).
文摘Handedness is a fundamental behavioral trait in humans,with the majority exhibiting right-hand dominance.While its origins remain elusive,it is considered an innate genetic trait.This study demonstrates pawedness in mice(n=473),comparable to human handedness,as an acquired trait rapidly emerging after limited unilateral paw training.Notably,acquired right-pawedness demonstrates greater conservativeness compared to left-pawedness,as evidenced by stronger stability and greater resistance to reversal.This results in a population right-paw dominance under random training conditions.Moreover,acquired pawedness also exhibits sex differences,with the initial preference proving more malleable in females.These findings unveil the acquired features of pawedness in mice.By illuminating possible behavioral laterality commonalities across species,the study proposes a postnatal hypothesis for the origins of human handedness:it is not an innate genetic trait as traditionally believed,but rather an environmentally acquired stable behavior whose development is actively guided by genetic predispositions.
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.
基金results in part from collaboration and network activities promoted under the frame of the international network GENIEUR (Genes in Irritable Bowel Syndrome Research Network Europe),which has been funded by the COST program (BM1106, www.GENIEUR.eu)currently supported by the European Society of Neurogastroenterology and Motility (ESNM, www.ESNM.eu)
文摘BACKGROUND Single-nucleotide polymorphisms(SNPs)of the serotonin type 3 receptor subunit(HTR3)genes have been associated with psychosomatic symptoms,but it is not clear whether these associations exist in irritable bowel syndrome(IBS).AIM To assess the association of HTR3 polymorphisms with depressive,anxiety,and somatization symptoms in individuals with IBS.METHODS In this retrospective study,623 participants with IBS were recruited from five specialty centers in Germany,Sweden,the United States,the United Kingdom,and Ireland.Depressive,anxiety,and somatization symptoms and sociodemographic characteristics were collected.Four functional SNPs—HTR3A c.-42C>T,HTR3B c.386A>C,HTR3C c.489C>A,and HTR3E c.*76G>A—were genotyped and analyzed using the dominant and recessive models.We also performed separate analyses for sex and IBS subtypes.SNP scores were calculated as the number of minor alleles of the SNPs above.The impact of HTR3C c.489C>A was tested by radioligand-binding and calcium influx assays.RESULTS Depressive and anxiety symptoms significantly worsened with increasing numbers of minor HTR3C c.489C>A alleles in the dominant model(F_(depressive)=7.475,P_(depressive)=0.006;F_(anxiety)=6.535,P_(anxiety)=0.011).A higher SNP score(range 0-6)was linked to a worsened depressive symptoms score(F=7.710,P-linear trend=0.006)in IBS.The potential relevance of the HTR3C SNP was corroborated,showing changes in the expression level of 5-HT3AC variant receptors.CONCLUSION We have provided the first evidence that HTR3C c.489C>A is involved in depressive and anxiety symptoms in individuals with IBS.The SNP score indicated that an increasing number of minor alleles is linked to the worsening of depressive symptoms in IBS.
基金the NSFC(No.22472112)the Suzhou Foreign Academician Workstation(No.SWY2022001)for financial supportsthe Soochow Municipal Laboratory for Low Carbon Technologies and Industries.
文摘Nitrogenous compounds(i.e.,amines,amides,nitriles,oximes,amino acids and nitrogen-heterocycles derivatives)are important building blocks for synthetic chemistry,pharmaceuticals,and functional materials.Conventional synthetic strategies involve the use of toxic organic nitrogenous precursors or expensive heterogeneous catalysts under elevated temperatures and pressurized oxygen.Heterogeneous electrocatalysis can initiate the activation of inorganic N sources(i.e.,NH_(3)and NO^(-)_(x))under ambient reactions in liquid phase by applying a small bias,thus allowing the synthesis of value?added nitrogenous compounds from carbonyls,alkenes,keto acids,and even carbon dioxide in a sustainable manner without the use of oxidants/reductants.This review outlines recent de-velopments in electrosynthesis of nitrogenous compounds using inorganic N sources,focusing on reaction mechanisms understanding,the design and optimization of efficient electrocatalysts,and the advances in cell configurations for various C‒N coupling reactions.The limitations and challenges in applications are also discussed.
文摘The metabolite lactate (L-lactate) can be generated and released by diverse brain cells,including neurons,astrocytes,and oligodendrocytes (Kann,2023;Rae et al.,2024).Lactate production usually requires the degradation of glucose (D-glucose)-and glycogen in astrocytes-to pyruvate by glycolysis and subsequent conversion of pyruvate to lactate by the enzyme lactate dehydrogenase(Figure 1A;Dienel,2019;Rae et al.,2024).
基金supported by the National Key Research and Development Program of China(No.2023YFC3708005)The Fundamental Research Funds for the Central Universities,Nankai University(No.63241208)supported by the National Natural Science Foundation of China(Nos.21872102 and 22172080)。
文摘Rare earth metal elements include lanthanide elements as well as scandium and yttrium,totaling seventeen metal elements.Due to the wide application prospects of rare earth metal elements in various fields such as luminescent materials,magnetic materials,catalytic materials,electronic devices,they have an important strategic position.In the field of electrocatalysis,rare earth metal elements have great potential for development due to their unique 4f electron layer structure,spin orbit coupling,high reactivity,controllable coordination number,and rich optical properties.However,there is currently a lack of systematic reviews on the modification strategies of rare earth metal elements and the latest developments in electrocatalysis.Therefore,in order to stimulate the enthusiasm of researchers,this review focuses on the application progress of rare earth metal element modified metal oxides in multiple fields such as wastewater treatment,hydrogen peroxide synthesis,hydrogen evolution reaction(HER),carbon dioxide reduction reaction(CO_(2)RR),nitrogen reduction reaction(NRR)and machine learning assisted research.In depth analysis of its electrocatalytic mechanism in various application scenarios and key factors affecting electrocatalytic performance.This review is of great significance for further developing high-performance and multifunctional electrocatalysts,and is expected to provide strong support for the development of energy,environment,and chemical industries.
基金supported by the National Key Research and Development Program of China(No.2021YFF0500600)Natural Science Foundation of Henan Province(No.252300421176)+1 种基金National Natural Science Foundation of China(No.22478361 and No.22108256)Frontier Exploration Projects of Longmen Laboratory(No.LMQYTSKT021)。
文摘Batteries play a crucial role in the storage and application of sustainable energy,yet their inherent safety risks are non-negligible.Traditional monitoring methods often suffer from high costs,time consumption,and limited scalability,making it increasingly difficult to meet the evolving demands of modern society.In this context,recent advancements in machine learning technology have emerged as a promising solution for predicting and monitoring battery states,offering innovative approaches to battery management systems(BMS).By transforming raw operational data into actionable insights,machine learning has shifted the paradigm from reactive to predictive battery safety management,significantly enhancing system reliability and risk mitigation capabilities.This review delves into the implementation of machine learning in battery state prediction,including dataset selection,feature extraction,and model training.It also highlights the latest progress of these models in key applications such as state of health(SOH),state of charge(SOC),thermal runaway warning,fault detection,and remaining useful life(RUL).Finally,we critically examined the challenges and opportunities associated with leveraging machine learning to improve battery safety and performance,providing a comprehensive perspective for future research in this rapidly advancing field.
基金supported by the National Natural Science Foundation of China(U21A20281)the Special Fund for Young Teachers from Zhengzhou University(JC23557030,JC23257011)+1 种基金the Key Research Projects of Higher Education Institutions of Henan Province(24A530009)the Project of Zhongyuan Critical Metals Laboratory(GJJSGFYQ202336).
文摘Point defect engineering endows catalysts with novel physical and chemical properties,elevating their electrocatalytic efficiency.The introduction of defects emerges as a promising strategy,effectively modifying the electronic structure of active sites.This optimization influences the adsorption energy of intermediates,thereby mitigating reaction energy barriers,altering paths,enhancing selectivity,and ultimately improving the catalytic efficiency of electrocatalysts.To elucidate the impact of defects on the electrocatalytic process,we comprehensively outline the roles of various point defects,their synthetic methodologies,and characterization techniques.Importantly,we consolidate insights into the relationship between point defects and catalytic activity for hydrogen/oxygen evolution and CO_(2)/O_(2)/N_(2) reduction reactions by integrating mechanisms from diverse reactions.This underscores the pivotal role of point defects in enhancing catalytic performance.At last,the principal challenges and prospects associated with point defects in current electrocatalysts are proposed,emphasizing their role in advancing the efficiency of electrochemical energy storage and conversion materials.
