Photocatalytic fuel cells provide promising opportunities for sustainable wastewater treatment and energy conversion.However,their applications are challenged by the sluggish oxygen reducton reaction(ORR)kinetics at c...Photocatalytic fuel cells provide promising opportunities for sustainable wastewater treatment and energy conversion.However,their applications are challenged by the sluggish oxygen reducton reaction(ORR)kinetics at cathodes owning to the low O_(2) solubility and diffusion rate.Herein,we proposed a photobiocatalytic fuel cell(PBFC) with a novel hybrid biocathode based on artificially engineered algal cells coated by ZIF-8 confined carbon dots/bilirubin oxidase(ZIF-8/CDs/BOD@algae).Microalgae absorbed CO_(2) and provided O_(2) in situ for BOD catalysts.Due to effective absorption of O_(2) by imidazole and confinement of hydrophobic porous ZIF-8,oxygen diffusion has been accelerated in MOF/enzyme systems.Importantly,the introduction of CDs alleviated the poor conductivity of ZIF-8 and improved the electron transfer rate of BOD.Thus,the biocathode exhibited a high current density of 1767 μA/cm^(2),a 2.26-fold increase compared with that of CDs/BOD/algae biocathode.Also,it displayed enduring operational stability for up to 60 h since the firmly wrapped ZIF-8 shells could encapsulate proteins and protect algae from the external stimulation.When coupled with Mo:BiVO_(4) photoanodes,the PBFC exhibited a remarkable power output of 131.8 μW/cm^(2) using tetracycline hydrochloride(TCH) as a fuel and an increased degradation rate of TCH.Therefore,this work not only establishs an effective confinement strategy for enzyme to enrich oxygen,but also unveils new possibilities for modified microalgal cells aiding photoelectrocatalytic systems to recover energy from wastewater treatment.展开更多
As a significant city in the Yangtze River Delta regions,Hefei has experienced rapid changes in the sources of air pollution due to its high-speed economic development and urban expansion.However,there has been limite...As a significant city in the Yangtze River Delta regions,Hefei has experienced rapid changes in the sources of air pollution due to its high-speed economic development and urban expansion.However,there has been limited research in recent years on the spatial-temporal distribution and emission of its atmospheric pollutants.To address this,this study conducted mobile observations of urban roads using the Mobile-DOAS instrument from June 2021 to May 2022.The monitoring results exhibit a favourable consistent with TROPOMI satellite data and ground monitoring station data.Temporally,there were pronounced seasonal variations in air pollutants.Spatially,high concentration of HCHO and NO_(2)were closely associated with traffic congestion on roadways,while heightened SO_(2)levels were attributed to winter heating and industrial emissions.The study also revealed that with the implementation of road policies,the average vehicle speed increased by 95.4%,while the NO concentration decreased by 54.4%.In the estimation of urban NO_(x)emission flux,it was observed that in temporal terms,compared with inventory data,the emissions calculated viamobile measurements exhibitedmore distinct seasonal patterns,with the highest emission rate of 349 g/sec in winter and the lowest of 142 g/sec in summer.In spatial terms,the significant difference in emissions between the inner and outer ring roads also suggests the presence of the city’s primary NO_(x)emission sources in the area between these two rings.This study offers data support for formulating the next phase of air pollution control measures in urban areas.展开更多
Pre-stretching and annealing treatments were conducted on twin roll cast Mg-2Al-1Zn-1Ca(AZX211,in wt.%)plates with a rare earth-like texture.Varying amounts of deformation were applied along the rolling direction(RD)a...Pre-stretching and annealing treatments were conducted on twin roll cast Mg-2Al-1Zn-1Ca(AZX211,in wt.%)plates with a rare earth-like texture.Varying amounts of deformation were applied along the rolling direction(RD)and transverse direction(TD)of AZX211 alloy in order to modify its mechanical proper-ties at room temperature.The results demonstrate that pre-stretching treatment effectively enhances the yield strength(YS),especially along the RD.The strengthening mechanism is attributed to the production of a large number of dislocations and sub-grain boundaries,but the work-hardening ability of the plate will be greatly weakened.Additionally,annealing treatment substantially improves the plasticity and in-plane anisotropy and restores the work-hardening ability.The notable distinction in the pre-stretching process between different directions lies in the underlying deformation mechanism.In case of RD,de-formation is predominantly governed by the slip mechanism of{0002}{11−20}basal slip and{10−10}{11−20}prismatic slip,while along the TD,deformation is primarily controlled by{0002}{11−20}basal slip without significant twinning deformation.When a 6%pre-stretching is conducted,the initial rare earth-like texture of the sample transforms into a symmetrically distributed double-peak basal texture,accompanied by grain refinement.This texture transformation is chiefly due to the dominance of{0002}{11−20}basal slip-driven deformation.Moreover,the annealed sample maintains a strong basal texture,owing to strain-induced recrystallization.展开更多
Multiple Sclerosis(MS)poses significant health risks.Patients may face neurodegeneration,mobility issues,cognitive decline,and a reduced quality of life.Manual diagnosis by neurologists is prone to limitations,making ...Multiple Sclerosis(MS)poses significant health risks.Patients may face neurodegeneration,mobility issues,cognitive decline,and a reduced quality of life.Manual diagnosis by neurologists is prone to limitations,making AI-based classification crucial for early detection.Therefore,automated classification using Artificial Intelligence(AI)techniques has a crucial role in addressing the limitations of manual classification and preventing the development of MS to advanced stages.This study developed hybrid systems integrating XGBoost(eXtreme Gradient Boosting)with multi-CNN(Convolutional Neural Networks)features based on Ant Colony Optimization(ACO)and Maximum Entropy Score-based Selection(MESbS)algorithms for early classification of MRI(Magnetic Resonance Imaging)images in a multi-class and binary-class MS dataset.All hybrid systems started by enhancing MRI images using the fusion processes of a Gaussian filter and Contrast-Limited Adaptive Histogram Equalization(CLAHE).Then,the Gradient Vector Flow(GVF)algorithm was applied to select white matter(regions of interest)within the brain and segment them from the surrounding brain structures.These regions of interest were processed by CNN models(ResNet101,DenseNet201,and MobileNet)to extract deep feature maps,which were then combined into fused feature vectors of multi-CNN model combinations(ResNet101-DenseNet201,DenseNet201-MobileNet,ResNet101-MobileNet,and ResNet101-DenseNet201-MobileNet).The multi-CNN features underwent dimensionality reduction using ACO and MESbS algorithms to remove unimportant features and retain important features.The XGBoost classifier employed the resultant feature vectors for classification.All developed hybrid systems displayed promising outcomes.For multiclass classification,the XGBoost model using ResNet101-DenseNet201-MobileNet features selected by ACO attained 99.4%accuracy,99.45%precision,and 99.75%specificity,surpassing prior studies(93.76%accuracy).It reached 99.6%accuracy,99.65%precision,and 99.55%specificity in binary-class classification.These results demonstrate the effectiveness of multi-CNN fusion with feature selection in improving MS classification accuracy.展开更多
The two-dimensional electron gas(2DEG)formed at the interface between two oxide insulators provides new opportunities for electronics and spintronics.The broken inversion symmetry at the heterointerface results in a R...The two-dimensional electron gas(2DEG)formed at the interface between two oxide insulators provides new opportunities for electronics and spintronics.The broken inversion symmetry at the heterointerface results in a Rashba spin-orbit coupling(RSOC)effect that enables the conversion between spin and charge currents.However,conducting oxide interfaces that simultaneously exhibit strong RSOC and high carrier mobility-a combination query for achieving high spin-to-charge inter-conversion efficiencies-remain scarce.Herein,we report a correlated 2DEG with giant Rashba splitting and high electron mobility in(111)-oriented EuTiO_(3)/KTaO_(3)(ETO/KTO)heterostructures under light illumination.Upon light modulation,a unique carrier-dependent giant anomalous Hall effect,the signature of spin-polarized 2DEG,emerges with a sign crossover at a carrier density of approximately 5.0×10^(13)cm^(-2),highlighting dramatic changes in the band topology of KTO(111)interface.Furthermore,at 2 K,the carrier mobility is enhanced from 103 cm^(2)·V^(-1)·s^(-1)to 1800 cm^(2)·V^(-1)·s^(-1),a remarkable enhancement of approximately 20 times.Accompanying with a giant Rashba coefficient αR up to 360meV·˚A,this high mobility ferromagnetic 5d oxide 2DEG is predicted to achieve a giant spin-to-charge conversion efficiency ofλ~10 nm,showing great potential for designing low-power spin-orbitronic devices.展开更多
Heart failure prediction is crucial as cardiovascular diseases become the leading cause of death worldwide,exacerbated by the COVID-19 pandemic.Age,cholesterol,and blood pressure datasets are becoming inadequate becau...Heart failure prediction is crucial as cardiovascular diseases become the leading cause of death worldwide,exacerbated by the COVID-19 pandemic.Age,cholesterol,and blood pressure datasets are becoming inadequate because they cannot capture the complexity of emerging health indicators.These high-dimensional and heterogeneous datasets make traditional machine learning methods difficult,and Skewness and other new biomarkers and psychosocial factors bias the model’s heart health prediction across diverse patient profiles.Modern medical datasets’complexity and high dimensionality challenge traditional predictionmodels like SupportVectorMachines and Decision Trees.Quantum approaches include QSVM,QkNN,QDT,and others.These Constraints drove research.The“QHF-CS:Quantum-Enhanced Heart Failure Prediction using Quantum CNN with Optimized Feature Qubit Selection with Cuckoo Search in Skewed Clinical Data”system was developed in this research.This novel system leverages a Quantum Convolutional Neural Network(QCNN)-based quantum circuit,enhanced by meta-heuristic algorithms—Cuckoo SearchOptimization(CSO),Artificial BeeColony(ABC),and Particle SwarmOptimization(PSO)—for feature qubit selection.Among these,CSO demonstrated superior performance by consistently identifying the most optimal and least skewed feature subsets,which were then encoded into quantum states for circuit construction.By integrating advanced quantum circuit feature maps like ZZFeatureMap,RealAmplitudes,and EfficientSU2,the QHF-CS model efficiently processes complex,high-dimensional data,capturing intricate patterns that classical models overlook.The QHF-CS model improves precision,recall,F1-score,and accuracy to 0.94,0.95,0.94,and 0.94.Quantum computing could revolutionize heart failure diagnostics by improving model accuracy and computational efficiency,enabling complex healthcare diagnostic breakthroughs.展开更多
With the application of Distributed Acoustic Sensors(DAS)across various infrastructures,it will play a pivotal role in shaping smart cities in the future.However,the current single-source detection and identification ...With the application of Distributed Acoustic Sensors(DAS)across various infrastructures,it will play a pivotal role in shaping smart cities in the future.However,the current single-source detection and identification technology might struggle to meet the high precision needs in the intricate environmental conditions of mixed multi-source interference.We propose a new deep neural network-based multi-source signal separation method for DAS and accomplish the separation performance of this method under practical applications.In addition,a new evaluation metric for the separation method is proposed in conjunction with the separation and identification of DAS mixed signals.For mixed signals with different source numbers,the recognizable rate of separated signals can reach 98.33%on average.This study provides a promising solution to the multi-source mixed interference problem faced by DAS in complex environments.展开更多
The emergence of two-dimensional nanomaterials,especially MXene,significantly overcomes the limitations of flexible pressure sensors regarding their sensing abilities,mechanical properties,and electromagnetic shieldin...The emergence of two-dimensional nanomaterials,especially MXene,significantly overcomes the limitations of flexible pressure sensors regarding their sensing abilities,mechanical properties,and electromagnetic shielding effectiveness.This advancement underscores their great potential for use in wearable and medical monitoring devices.However,single-layer MXene is highly prone to oxidation when exposed to air and tends to stack between layers.Combining MXene with other functional materials to create heterojunction structures effectively addresses the stacking problem while also providing the resulting composites with excellent electrical conductivity,mechanical flexibility,and electromagnetic shielding capabilities,which are essential for enhancing sensor performance.This review systematically outlines various microstructural designs and improvement strategies aimed at boosting the sensing efficiency of different flexible pressure sensors based on MXene.It offers a comprehensive analysis of their significance in medical monitoring,anticipates future challenges and opportunities,and serves as an important reference for advancing precision and personalized approaches in medical monitoring.展开更多
The leaves of multiple invasive plants can coexist and intermingle within the same environment.As species number of invasive plants increases,variations may occur in decomposition processes of invasive plants,soil nut...The leaves of multiple invasive plants can coexist and intermingle within the same environment.As species number of invasive plants increases,variations may occur in decomposition processes of invasive plants,soil nutrient contents,soil enzyme activities,and soilmicrobial community structure.Existing progress have predominantly focused on the ecological effects of one species of invasive plant compared to native species,with limited attention paid to the ecological effects of multiple invasive plants compared to one species of invasive plant.This study aimed to determine the differences in the effects of mono-and co-decomposition of four Asteraceae invasive plants,horseweed(Erigeron canadensis(L.)Cronq.),Guernsey fleabane(E.sumatrensis Retz.),daisy fleabane(E.annuus(L.)Pers.),and Canada goldenrod(Solidago canadensis L.),on litter decomposition responses,soil carbon contents,soil enzyme activities,and soil bacterial community structure.Species number of invasive plants did not significantly affect on the decomposition rate of mixed leaves or mixed-effect intensity of co-decomposition.Soil pH and electrical conductivity enhanced as species number of invasive plants increased.Soil carbon contents(including soluble organic carbon content and microbial carbon content),soil enzyme(including polyphenol oxidase,FDA hydrolase,and sucrase)activities,soil bacterial alpha diversity(including the OTU species,Chao1 richness,ACE richness,and Phylogenetic diversity indexes),and the number of pathways of most functional genes of soil bacterial communities closely related to decomposition processes declined as species number of invasive plants increased.Hence,soil pH and electrical conductivity significantly increased with increasing species number of invasive plants,but soil carbon contents,soil enzyme activities,soil bacterial alpha diversity,and the number of pathways of most functional genes of soil bacterial communities closely related to decomposition processes significantly reduced with growing species number of invasive plants.展开更多
Exosomes derived from bone mesenchymal stem cells(BMSCs)show promising potential for treating bone defects.However,their clinical application is hindered by low yield and insufficient repair ability.Three-dimensional(...Exosomes derived from bone mesenchymal stem cells(BMSCs)show promising potential for treating bone defects.However,their clinical application is hindered by low yield and insufficient repair ability.Three-dimensional(3D)mechanical stimulation has been a well-known method for enhancing exosome secretion;however,the traditional stimulation process is always achieved by controlling the displacement of manipulators,which may induce uneven loading distribution and degradation of stimulation strength.Here,we propose a micro-stretching manipulator that automatically controls the stretching force applied to gelatin methacryloyl(GelMA)/hyaluronic acid methacryloyl(HAMA)hybrid hydrogel sheets containing BMSCs within an incubator.To ensure the structural stability of the sheets after long-term stretching,the mixing ratio between GelMA and HAMA was optimized according to the mechanical property response of the sheets to cyclical loading.Subsequently,force-controlled mechanical loading was applied to the BMSC-laden sheets to produce exosomes.Compared with displacement control,force-controlled loading provides a more stable force stimulation,thereby enhancing exosome secretion.Furthermore,continuously stimulated exosomes exhibited a stronger capacity for promoting osteogenic differentiation of BMSCs and facilitating the repair of bone defects in a rat model.These findings suggest that force-controlled loading of cell-laden hydrogels offers a novel approach for the production of BMSC-derived exosomes and their application in bone repair.展开更多
One of the solutions to the global warming risk and other climate issues is to concentrate on research and development of utilizing biomass as a fossil fuel alternative.The current estimate of cotton residue waste in ...One of the solutions to the global warming risk and other climate issues is to concentrate on research and development of utilizing biomass as a fossil fuel alternative.The current estimate of cotton residue waste in the world is about 50 million tons.This massive volume of biomass waste should be turned into clean energy to avert burning the stalks in open fields after cotton harvesting.Therefore,harmful emissions such as CO_(2) will be reduced.This study aims to investigate the published literature to comprehend the bioenergy production from the thermal treatment of cotton stalks,including combustion,pyrolysis,carbonization,torrefaction,liquefaction,and gasification.Furthermore,the future outlook,utilization,and prospective challenges of agricultural biomass for biofuel production are discussed.According to the literature,biochar and bio-oil derived from cotton stalks have high heating values of about 27.5 and 37.2 MJ·kg~(–1),respectively.These values are double those of cotton stalk raw materials,which make it a good candidate for bioenergy production.This article offers valuable insight into cotton stalk utilization via thermochemical treatment and provides a solid reference for researchers,policymakers,and other stakeholders in this field.展开更多
Vacuum glazing is highly regarded for its ability to transmit light while providing heat preservation,sound insulation,lightweight characteristics,and resistance to condensation.Scholars have made significant strides ...Vacuum glazing is highly regarded for its ability to transmit light while providing heat preservation,sound insulation,lightweight characteristics,and resistance to condensation.Scholars have made significant strides in the study of vacuum glazing through their notable efforts.This study systematically reviewed vacuum glazing and its composite structures,including material selection,fabrication techniques,research methods,and performance evaluation.This review initially presented fundamental techniques for preparing vacuum glazing,with a focus on edge seal and support pillar arrangements,and introduced common composite structures such as hybrid and tinted vacuum glazing.Furthermore,this review summarized the analytical,numerical,and experimental methodologies used to assess the thermal performance of vacuum glazing.This study also outlined heat transfer coefficients associated with various vacuum glazing structures,investigated the influence of different parameters on their heat transfer coefficients,and evaluated their potential for energy conservation across diverse climatic regions.Finally,the research delineated future trends in the advancement of vacuum glazing to provide guidance for both theoretical studies and practical applications in industry.This research serves as a valuable resource for both theoretical exploration and practical integration of vacuum glazing,facilitating its improvement and optimization to advance sustainable low-carbon building practices.展开更多
Erratum to:International Journal of Minerals,Metallurgy and Materials Volume 31,Number 11,November 2024,Page 2498 https://doi.org/10.1007/s12613-024-2847-2 In this article,the fund number in the acknowledgements has b...Erratum to:International Journal of Minerals,Metallurgy and Materials Volume 31,Number 11,November 2024,Page 2498 https://doi.org/10.1007/s12613-024-2847-2 In this article,the fund number in the acknowledgements has been erroneously given as the Program for Guangdong Basic and Applied Basic Research Foundation,China(No.2021A151511006)It should be as follows:the Program for Guangdong Basic and Applied Basic Research Foundation,China(No.2021A1515110061).展开更多
AZ31 Mg alloy plates with bimodal grain structures were fabricated via conventional extrusion under varying temperatures and speeds to investigate the mechanisms governing dynamic recrystallization(DRX)and texture evo...AZ31 Mg alloy plates with bimodal grain structures were fabricated via conventional extrusion under varying temperatures and speeds to investigate the mechanisms governing dynamic recrystallization(DRX)and texture evolution.Although all samples exhibited similar DRXed grain sizes(5.0–6.5μm)and fractions(76%–80%),they developed distinct c-axis orientations and mechanical properties.The P1 sample(350℃,0.1 mm/min)exhibited the lowest yield strength(∼192 MPa)but the highest elongation(∼18.2%),whereas the P3 sample(400℃,0.6 mm/min)showed the highest yield strength(∼241 MPa)and the lowest elongation(∼14.2%).The P2 sample(400℃,0.1 mm/min)demonstrated intermediate behavior(∼226 MPa,∼17.7%).These variations were primarily attributed to differences in c-axis orientations,particularly their alignment with respect to the normal direction(ND)and their slight deviation from the extrusion direction(ED).Microstructural analysis revealed that distinct DRX mechanisms were activated under different extrusion conditions.P1 predominantly exhibited twinning-induced dynamic recrystallization(TDRX)and continuous dynamic recrystallization(CDRX),whereas P3 primarily showed CDRX and discontinuous dynamic recrystallization(DDRX).These DRX mechanisms,in combination with the activated slip systems governed by the evolving local stress state,collectively contributed to orientation rotation and texture development.During the early stage of extrusion,tensile strain along the ED promoted basalslip,rotating the c-axes toward the ND.As deformation progressed,compressive strain along the ND became dominant.In P1,basalslip remained active,aligning the c-axes along the ND and forming a smaller angle with the ED.In contrast,P3 exhibited predominant pyramidal<c+a>slip,resulting in a pronounced deviation of the c-axes from the ND and a slightly larger angle relative to the ED.The P2 sample exhibited a transitional texture state between those of P1 and P3.展开更多
We propose a near-field thermophotovoltaic system utilizing magnetic Weyl semimetals,which exhibit a distinct gyrotropic effect originating from their intrinsic axion field.Critically,we demonstrate that intentional b...We propose a near-field thermophotovoltaic system utilizing magnetic Weyl semimetals,which exhibit a distinct gyrotropic effect originating from their intrinsic axion field.Critically,we demonstrate that intentional band dislocation,achieved by layer-specific tuning of the chemical potential,significantly enhances the energyconversion efficiency.This effect arises from the formation of quasi-flat bands in momentum space,which broaden the spectral heat flux and amplify photon tunneling above the bandgap.At optimized chemical potential mismatches,the system achieves a 65%Carnot efficiency and a power density of 7×10^(4)W·m^(-2),surpassing symmetric configurations by 7%.The optimization of the Weyl semimetals thickness further demonstrates a clear tuning window where both the output power and energy-conversion efficiency are significantly improved.These results establish chemical-potential engineering toward high-efficiency near-field thermophotovoltaics for waste heat recovery and infrared energy applications.展开更多
The^(6)Li+^(89)Y experiment was performed to explore the reaction mechanism induced by a weakly bound nucleus^(6)Li and its cluster configuration.The particle-γcoincidence method was used to identify the different re...The^(6)Li+^(89)Y experiment was performed to explore the reaction mechanism induced by a weakly bound nucleus^(6)Li and its cluster configuration.The particle-γcoincidence method was used to identify the different reaction channels.Theγ-rays coincident with^(3)He/^(3)H indicate that the^(3)H/^(3)He stripping reaction plays a significant role in the formation of Zr/Nb isotopes.The obtained results support the existence of a^(3)He-^(3)H cluster in^(6)Li.Direct and sequential transfer reactions are adequately discussed,and the FRESCO code is used to perform precise finite-range cyclic redundancy check calculations.In the microscopic calculation,direct cluster transfer is more predominant than sequential transfer in^(3)H transfer.However,the direct cluster transfer is of comparable magnitude to the sequential transfer in the^(3)He transfer.展开更多
Background:Silica nanoparticles(SiNPs),commonly utilized in industrial and biomedical fields,are known to provoke pulmonary inflammation by elevating cyclooxygenase-2(COX-2)levels in human pulmonary alveolar epithelia...Background:Silica nanoparticles(SiNPs),commonly utilized in industrial and biomedical fields,are known to provoke pulmonary inflammation by elevating cyclooxygenase-2(COX-2)levels in human pulmonary alveolar epithelial cells(HPAEpiCs).Salvianolic acid A(SAA),a water-soluble polyphenol extracted from Salvia miltiorrhiza(Danshen),possesses well-documented antioxidant and anti-inflammatory activities.Nevertheless,its potential to counteract SiNP-induced inflammatory responses in the lung has not been thoroughly explored.Objective:This study aimed to evaluate the protective role and mechanistic actions of SAA against SiNP-triggered inflammation in both cellular and animal models.Methods:HPAEpiCs were pre-incubated with SAA prior to SiNP exposure to investigate changes in COX-2 expression and prostaglandin E2(PGE2)secretion.A murine model of SiNP-induced lung inflammation was used for in vivo validation.Key inflammatory signaling proteins,including c-Src,PKCα,p42/p44MAPK,and NF-κB p65,were analyzed for phosphorylation status.NF-κB promoter activity was also assessed.Pharmacological inhibitors and siRNA-mediated silencing were employed to verify the signaling cascade responsible for COX-2 regulation.Results:SAA treatment markedly suppressed SiNP-induced upregulation of COX-2 and PGE2 in bothHPAEpiCs andmouse lung tissues.SAA also reduced the activation(phosphorylation)of c-Src,PKCα,p42/p44 MAPK,and NF-κB p65,alongside diminishing NF-κB transcriptional activity.Functional studies using inhibitors and gene silencing further supported the involvement of these pathways inmediating the observed anti-inflammatory effect.Conclusion:By concurrently targeting several upstream pro-inflammatory signaling pathways,SAA demonstrates robust potential in alleviating SiNP-induced lung inflammation.These results highlight SAA as a promising candidate for therapeutic intervention in environmentally triggered respiratory conditions.展开更多
Numerical investigations on the flow field in Ti-Al melt during rectangular cold crucible directional solidification were carried out. Combined with the experimental results, 3-D finite element models for calculating ...Numerical investigations on the flow field in Ti-Al melt during rectangular cold crucible directional solidification were carried out. Combined with the experimental results, 3-D finite element models for calculating flow field inside melting pool were established, the characteristics of the flow under different power parameters were further studied. Numerical calculation results show that there is a complex circular flow in the melt, a rapid horizontal flow exists on the solid/liquid interface and those flows confluence in the center of the melting pool. The flow velocity v increases with the increase of current intensity, but the flow patterns remain unchanged. When the current is 1000 A, the vmax reaches 4 mm/s and the flow on the interface achieves 3 mm/s. Flow patterns are quite different when the frequency changes from 10 kHz to 100 kHz, the mechanism of the frequency influence on the flow pattern is analyzed, and there is an optimum frequency for cold crucible directional solidification.展开更多
基金support from National Natural Science Foundation of China (Nos.22176086,52100014)Natural Science Foundation of Jiangsu Province (No.BK20210189)+7 种基金State Key laboratory of Pollution Control and Resource Reuse,the Fundamental Research Funds for the Central Universities (Nos.021114380183,021114380189,021114380199)the Research Funds from Frontiers Science Center for Critical Earth Material Cycling of Nanjing UniversityResearch Funds for Jiangsu Distinguished ProfessorCarbon Peaking and Carbon Neutrality Technological Innovation Foundation of Jiangsu Province (No.BE2022861)the Central Universities - Cemac “Geo X” Interdisciplinary Program (No.021114380217)Frontiers Science Center for Critical Earth Material Cycling of Nanjing University (No.2024QNXZ07)Postdoctoral Fellowship Program of CPSF (No.GZC20231105)the Jiangsu Funding Program for Excellent Postdoctoral Talent (No.2023ZB226)。
文摘Photocatalytic fuel cells provide promising opportunities for sustainable wastewater treatment and energy conversion.However,their applications are challenged by the sluggish oxygen reducton reaction(ORR)kinetics at cathodes owning to the low O_(2) solubility and diffusion rate.Herein,we proposed a photobiocatalytic fuel cell(PBFC) with a novel hybrid biocathode based on artificially engineered algal cells coated by ZIF-8 confined carbon dots/bilirubin oxidase(ZIF-8/CDs/BOD@algae).Microalgae absorbed CO_(2) and provided O_(2) in situ for BOD catalysts.Due to effective absorption of O_(2) by imidazole and confinement of hydrophobic porous ZIF-8,oxygen diffusion has been accelerated in MOF/enzyme systems.Importantly,the introduction of CDs alleviated the poor conductivity of ZIF-8 and improved the electron transfer rate of BOD.Thus,the biocathode exhibited a high current density of 1767 μA/cm^(2),a 2.26-fold increase compared with that of CDs/BOD/algae biocathode.Also,it displayed enduring operational stability for up to 60 h since the firmly wrapped ZIF-8 shells could encapsulate proteins and protect algae from the external stimulation.When coupled with Mo:BiVO_(4) photoanodes,the PBFC exhibited a remarkable power output of 131.8 μW/cm^(2) using tetracycline hydrochloride(TCH) as a fuel and an increased degradation rate of TCH.Therefore,this work not only establishs an effective confinement strategy for enzyme to enrich oxygen,but also unveils new possibilities for modified microalgal cells aiding photoelectrocatalytic systems to recover energy from wastewater treatment.
基金supported by the National Natural Science Foundation of China(Nos.U19A2044,42105132,42030609,41975037,and 42105133)the National Key Research and Development Program of China(No.2022YFC3703502)+1 种基金the Plan for Anhui Major Provincial Science&Technology Project(No.202203a07020003)Hefei Ecological Environment Bureau Project(No.2020BFFFD01804).
文摘As a significant city in the Yangtze River Delta regions,Hefei has experienced rapid changes in the sources of air pollution due to its high-speed economic development and urban expansion.However,there has been limited research in recent years on the spatial-temporal distribution and emission of its atmospheric pollutants.To address this,this study conducted mobile observations of urban roads using the Mobile-DOAS instrument from June 2021 to May 2022.The monitoring results exhibit a favourable consistent with TROPOMI satellite data and ground monitoring station data.Temporally,there were pronounced seasonal variations in air pollutants.Spatially,high concentration of HCHO and NO_(2)were closely associated with traffic congestion on roadways,while heightened SO_(2)levels were attributed to winter heating and industrial emissions.The study also revealed that with the implementation of road policies,the average vehicle speed increased by 95.4%,while the NO concentration decreased by 54.4%.In the estimation of urban NO_(x)emission flux,it was observed that in temporal terms,compared with inventory data,the emissions calculated viamobile measurements exhibitedmore distinct seasonal patterns,with the highest emission rate of 349 g/sec in winter and the lowest of 142 g/sec in summer.In spatial terms,the significant difference in emissions between the inner and outer ring roads also suggests the presence of the city’s primary NO_(x)emission sources in the area between these two rings.This study offers data support for formulating the next phase of air pollution control measures in urban areas.
基金supported by the National Natural Science Foundation of China(No.52001106)Hebei province(No.E2022202158).
文摘Pre-stretching and annealing treatments were conducted on twin roll cast Mg-2Al-1Zn-1Ca(AZX211,in wt.%)plates with a rare earth-like texture.Varying amounts of deformation were applied along the rolling direction(RD)and transverse direction(TD)of AZX211 alloy in order to modify its mechanical proper-ties at room temperature.The results demonstrate that pre-stretching treatment effectively enhances the yield strength(YS),especially along the RD.The strengthening mechanism is attributed to the production of a large number of dislocations and sub-grain boundaries,but the work-hardening ability of the plate will be greatly weakened.Additionally,annealing treatment substantially improves the plasticity and in-plane anisotropy and restores the work-hardening ability.The notable distinction in the pre-stretching process between different directions lies in the underlying deformation mechanism.In case of RD,de-formation is predominantly governed by the slip mechanism of{0002}{11−20}basal slip and{10−10}{11−20}prismatic slip,while along the TD,deformation is primarily controlled by{0002}{11−20}basal slip without significant twinning deformation.When a 6%pre-stretching is conducted,the initial rare earth-like texture of the sample transforms into a symmetrically distributed double-peak basal texture,accompanied by grain refinement.This texture transformation is chiefly due to the dominance of{0002}{11−20}basal slip-driven deformation.Moreover,the annealed sample maintains a strong basal texture,owing to strain-induced recrystallization.
文摘Multiple Sclerosis(MS)poses significant health risks.Patients may face neurodegeneration,mobility issues,cognitive decline,and a reduced quality of life.Manual diagnosis by neurologists is prone to limitations,making AI-based classification crucial for early detection.Therefore,automated classification using Artificial Intelligence(AI)techniques has a crucial role in addressing the limitations of manual classification and preventing the development of MS to advanced stages.This study developed hybrid systems integrating XGBoost(eXtreme Gradient Boosting)with multi-CNN(Convolutional Neural Networks)features based on Ant Colony Optimization(ACO)and Maximum Entropy Score-based Selection(MESbS)algorithms for early classification of MRI(Magnetic Resonance Imaging)images in a multi-class and binary-class MS dataset.All hybrid systems started by enhancing MRI images using the fusion processes of a Gaussian filter and Contrast-Limited Adaptive Histogram Equalization(CLAHE).Then,the Gradient Vector Flow(GVF)algorithm was applied to select white matter(regions of interest)within the brain and segment them from the surrounding brain structures.These regions of interest were processed by CNN models(ResNet101,DenseNet201,and MobileNet)to extract deep feature maps,which were then combined into fused feature vectors of multi-CNN model combinations(ResNet101-DenseNet201,DenseNet201-MobileNet,ResNet101-MobileNet,and ResNet101-DenseNet201-MobileNet).The multi-CNN features underwent dimensionality reduction using ACO and MESbS algorithms to remove unimportant features and retain important features.The XGBoost classifier employed the resultant feature vectors for classification.All developed hybrid systems displayed promising outcomes.For multiclass classification,the XGBoost model using ResNet101-DenseNet201-MobileNet features selected by ACO attained 99.4%accuracy,99.45%precision,and 99.75%specificity,surpassing prior studies(93.76%accuracy).It reached 99.6%accuracy,99.65%precision,and 99.55%specificity in binary-class classification.These results demonstrate the effectiveness of multi-CNN fusion with feature selection in improving MS classification accuracy.
基金supported by the Science Center of the National Science Foundation of China(Grant No.52088101)the National Key Research and Development Program of China(Grant Nos.2023YFA1406400,2021YFA1400300,and 2023YFA1607403)the National Natural Science Foundation of China(Grant Nos.T2394472 and T2394470).
文摘The two-dimensional electron gas(2DEG)formed at the interface between two oxide insulators provides new opportunities for electronics and spintronics.The broken inversion symmetry at the heterointerface results in a Rashba spin-orbit coupling(RSOC)effect that enables the conversion between spin and charge currents.However,conducting oxide interfaces that simultaneously exhibit strong RSOC and high carrier mobility-a combination query for achieving high spin-to-charge inter-conversion efficiencies-remain scarce.Herein,we report a correlated 2DEG with giant Rashba splitting and high electron mobility in(111)-oriented EuTiO_(3)/KTaO_(3)(ETO/KTO)heterostructures under light illumination.Upon light modulation,a unique carrier-dependent giant anomalous Hall effect,the signature of spin-polarized 2DEG,emerges with a sign crossover at a carrier density of approximately 5.0×10^(13)cm^(-2),highlighting dramatic changes in the band topology of KTO(111)interface.Furthermore,at 2 K,the carrier mobility is enhanced from 103 cm^(2)·V^(-1)·s^(-1)to 1800 cm^(2)·V^(-1)·s^(-1),a remarkable enhancement of approximately 20 times.Accompanying with a giant Rashba coefficient αR up to 360meV·˚A,this high mobility ferromagnetic 5d oxide 2DEG is predicted to achieve a giant spin-to-charge conversion efficiency ofλ~10 nm,showing great potential for designing low-power spin-orbitronic devices.
文摘Heart failure prediction is crucial as cardiovascular diseases become the leading cause of death worldwide,exacerbated by the COVID-19 pandemic.Age,cholesterol,and blood pressure datasets are becoming inadequate because they cannot capture the complexity of emerging health indicators.These high-dimensional and heterogeneous datasets make traditional machine learning methods difficult,and Skewness and other new biomarkers and psychosocial factors bias the model’s heart health prediction across diverse patient profiles.Modern medical datasets’complexity and high dimensionality challenge traditional predictionmodels like SupportVectorMachines and Decision Trees.Quantum approaches include QSVM,QkNN,QDT,and others.These Constraints drove research.The“QHF-CS:Quantum-Enhanced Heart Failure Prediction using Quantum CNN with Optimized Feature Qubit Selection with Cuckoo Search in Skewed Clinical Data”system was developed in this research.This novel system leverages a Quantum Convolutional Neural Network(QCNN)-based quantum circuit,enhanced by meta-heuristic algorithms—Cuckoo SearchOptimization(CSO),Artificial BeeColony(ABC),and Particle SwarmOptimization(PSO)—for feature qubit selection.Among these,CSO demonstrated superior performance by consistently identifying the most optimal and least skewed feature subsets,which were then encoded into quantum states for circuit construction.By integrating advanced quantum circuit feature maps like ZZFeatureMap,RealAmplitudes,and EfficientSU2,the QHF-CS model efficiently processes complex,high-dimensional data,capturing intricate patterns that classical models overlook.The QHF-CS model improves precision,recall,F1-score,and accuracy to 0.94,0.95,0.94,and 0.94.Quantum computing could revolutionize heart failure diagnostics by improving model accuracy and computational efficiency,enabling complex healthcare diagnostic breakthroughs.
文摘With the application of Distributed Acoustic Sensors(DAS)across various infrastructures,it will play a pivotal role in shaping smart cities in the future.However,the current single-source detection and identification technology might struggle to meet the high precision needs in the intricate environmental conditions of mixed multi-source interference.We propose a new deep neural network-based multi-source signal separation method for DAS and accomplish the separation performance of this method under practical applications.In addition,a new evaluation metric for the separation method is proposed in conjunction with the separation and identification of DAS mixed signals.For mixed signals with different source numbers,the recognizable rate of separated signals can reach 98.33%on average.This study provides a promising solution to the multi-source mixed interference problem faced by DAS in complex environments.
基金financially supported by the National Natural Science Foundation of China(No.62205091)the Fundamental Research Foundation for Universities of Heilongjiang Province(No.2022-KYYWF-0121)+1 种基金the Natural Science Foundation of Heilongjiang Province Project(No.LH2022F028)the National Key Research and Development Program of China(No.2023YFF1206100)。
文摘The emergence of two-dimensional nanomaterials,especially MXene,significantly overcomes the limitations of flexible pressure sensors regarding their sensing abilities,mechanical properties,and electromagnetic shielding effectiveness.This advancement underscores their great potential for use in wearable and medical monitoring devices.However,single-layer MXene is highly prone to oxidation when exposed to air and tends to stack between layers.Combining MXene with other functional materials to create heterojunction structures effectively addresses the stacking problem while also providing the resulting composites with excellent electrical conductivity,mechanical flexibility,and electromagnetic shielding capabilities,which are essential for enhancing sensor performance.This review systematically outlines various microstructural designs and improvement strategies aimed at boosting the sensing efficiency of different flexible pressure sensors based on MXene.It offers a comprehensive analysis of their significance in medical monitoring,anticipates future challenges and opportunities,and serves as an important reference for advancing precision and personalized approaches in medical monitoring.
基金funded by Open Science Research Fund of Key Laboratory of Ocean Space Resource Management Technology,Marine Academy of Zhejiang Province,China(KF-2024-112)Jiangsu Collaborative Innovation Center of Technology and Material of Water Treatment(no grant number)Research Project on the Application of Invasive Plants in Soil Ecological Restoration in Jiangsu(20240110).
文摘The leaves of multiple invasive plants can coexist and intermingle within the same environment.As species number of invasive plants increases,variations may occur in decomposition processes of invasive plants,soil nutrient contents,soil enzyme activities,and soilmicrobial community structure.Existing progress have predominantly focused on the ecological effects of one species of invasive plant compared to native species,with limited attention paid to the ecological effects of multiple invasive plants compared to one species of invasive plant.This study aimed to determine the differences in the effects of mono-and co-decomposition of four Asteraceae invasive plants,horseweed(Erigeron canadensis(L.)Cronq.),Guernsey fleabane(E.sumatrensis Retz.),daisy fleabane(E.annuus(L.)Pers.),and Canada goldenrod(Solidago canadensis L.),on litter decomposition responses,soil carbon contents,soil enzyme activities,and soil bacterial community structure.Species number of invasive plants did not significantly affect on the decomposition rate of mixed leaves or mixed-effect intensity of co-decomposition.Soil pH and electrical conductivity enhanced as species number of invasive plants increased.Soil carbon contents(including soluble organic carbon content and microbial carbon content),soil enzyme(including polyphenol oxidase,FDA hydrolase,and sucrase)activities,soil bacterial alpha diversity(including the OTU species,Chao1 richness,ACE richness,and Phylogenetic diversity indexes),and the number of pathways of most functional genes of soil bacterial communities closely related to decomposition processes declined as species number of invasive plants increased.Hence,soil pH and electrical conductivity significantly increased with increasing species number of invasive plants,but soil carbon contents,soil enzyme activities,soil bacterial alpha diversity,and the number of pathways of most functional genes of soil bacterial communities closely related to decomposition processes significantly reduced with growing species number of invasive plants.
基金support from the National Key Research and Development Program of China(No.2021YFB3802105-3)the National Natural Science Foundation of China(No.62173043).
文摘Exosomes derived from bone mesenchymal stem cells(BMSCs)show promising potential for treating bone defects.However,their clinical application is hindered by low yield and insufficient repair ability.Three-dimensional(3D)mechanical stimulation has been a well-known method for enhancing exosome secretion;however,the traditional stimulation process is always achieved by controlling the displacement of manipulators,which may induce uneven loading distribution and degradation of stimulation strength.Here,we propose a micro-stretching manipulator that automatically controls the stretching force applied to gelatin methacryloyl(GelMA)/hyaluronic acid methacryloyl(HAMA)hybrid hydrogel sheets containing BMSCs within an incubator.To ensure the structural stability of the sheets after long-term stretching,the mixing ratio between GelMA and HAMA was optimized according to the mechanical property response of the sheets to cyclical loading.Subsequently,force-controlled mechanical loading was applied to the BMSC-laden sheets to produce exosomes.Compared with displacement control,force-controlled loading provides a more stable force stimulation,thereby enhancing exosome secretion.Furthermore,continuously stimulated exosomes exhibited a stronger capacity for promoting osteogenic differentiation of BMSCs and facilitating the repair of bone defects in a rat model.These findings suggest that force-controlled loading of cell-laden hydrogels offers a novel approach for the production of BMSC-derived exosomes and their application in bone repair.
基金supported by the National Natural Science Foundation of China(Grants No.42177431 and No.U20A2086)the Beijing Natural Science Foundation(International Scientists Project,Grant No.IS24033)+3 种基金the joint research project between UniMAP and TIIAME NRU(Grant No.INTERES 9008-00064)the series training courses(Belt&Road Talent Exchange Program,Grant No.DL2021108001L)for academic writing guidance that conducted by Prof.Harold J.Annegarnthe support from China Scholarship CouncilTYSP program to the international students and scholars。
文摘One of the solutions to the global warming risk and other climate issues is to concentrate on research and development of utilizing biomass as a fossil fuel alternative.The current estimate of cotton residue waste in the world is about 50 million tons.This massive volume of biomass waste should be turned into clean energy to avert burning the stalks in open fields after cotton harvesting.Therefore,harmful emissions such as CO_(2) will be reduced.This study aims to investigate the published literature to comprehend the bioenergy production from the thermal treatment of cotton stalks,including combustion,pyrolysis,carbonization,torrefaction,liquefaction,and gasification.Furthermore,the future outlook,utilization,and prospective challenges of agricultural biomass for biofuel production are discussed.According to the literature,biochar and bio-oil derived from cotton stalks have high heating values of about 27.5 and 37.2 MJ·kg~(–1),respectively.These values are double those of cotton stalk raw materials,which make it a good candidate for bioenergy production.This article offers valuable insight into cotton stalk utilization via thermochemical treatment and provides a solid reference for researchers,policymakers,and other stakeholders in this field.
基金supported by the National Key R&D Program of China(2023YFC3806202)the National Natural Science Foundation of China(52308093)+3 种基金the Natural Science Foundation of Hunan Province(2023JJ40154)the Science and Technology Innovation Leading Talent Program of Hunan Province(2023RC1042)the Natural Science Foundation of Changsha(kq2208032)the China Postdoctoral Science Foundation(2023M741132 and 2024T170263)。
文摘Vacuum glazing is highly regarded for its ability to transmit light while providing heat preservation,sound insulation,lightweight characteristics,and resistance to condensation.Scholars have made significant strides in the study of vacuum glazing through their notable efforts.This study systematically reviewed vacuum glazing and its composite structures,including material selection,fabrication techniques,research methods,and performance evaluation.This review initially presented fundamental techniques for preparing vacuum glazing,with a focus on edge seal and support pillar arrangements,and introduced common composite structures such as hybrid and tinted vacuum glazing.Furthermore,this review summarized the analytical,numerical,and experimental methodologies used to assess the thermal performance of vacuum glazing.This study also outlined heat transfer coefficients associated with various vacuum glazing structures,investigated the influence of different parameters on their heat transfer coefficients,and evaluated their potential for energy conservation across diverse climatic regions.Finally,the research delineated future trends in the advancement of vacuum glazing to provide guidance for both theoretical studies and practical applications in industry.This research serves as a valuable resource for both theoretical exploration and practical integration of vacuum glazing,facilitating its improvement and optimization to advance sustainable low-carbon building practices.
文摘Erratum to:International Journal of Minerals,Metallurgy and Materials Volume 31,Number 11,November 2024,Page 2498 https://doi.org/10.1007/s12613-024-2847-2 In this article,the fund number in the acknowledgements has been erroneously given as the Program for Guangdong Basic and Applied Basic Research Foundation,China(No.2021A151511006)It should be as follows:the Program for Guangdong Basic and Applied Basic Research Foundation,China(No.2021A1515110061).
基金supported by National Key Research&Development Program of China(Grant no.2022YFE0110600)National Natural Science Foundation(Grant no.52220105003)+3 种基金the State Key Laboratory of Advanced Welding and Joining,Harbin Institute of Technology(Grant no.XNDCQQ2910201124)the National Natural Science Foundation for Young Scientists of China(Grant nos.51801042 and 51704088)Natural Science Foundation of Heilongjiang Province-Outstanding Youth Fund(Grant no.YQ2020E006)JSPS KAKENHI(Grant no.JP21H01669).
文摘AZ31 Mg alloy plates with bimodal grain structures were fabricated via conventional extrusion under varying temperatures and speeds to investigate the mechanisms governing dynamic recrystallization(DRX)and texture evolution.Although all samples exhibited similar DRXed grain sizes(5.0–6.5μm)and fractions(76%–80%),they developed distinct c-axis orientations and mechanical properties.The P1 sample(350℃,0.1 mm/min)exhibited the lowest yield strength(∼192 MPa)but the highest elongation(∼18.2%),whereas the P3 sample(400℃,0.6 mm/min)showed the highest yield strength(∼241 MPa)and the lowest elongation(∼14.2%).The P2 sample(400℃,0.1 mm/min)demonstrated intermediate behavior(∼226 MPa,∼17.7%).These variations were primarily attributed to differences in c-axis orientations,particularly their alignment with respect to the normal direction(ND)and their slight deviation from the extrusion direction(ED).Microstructural analysis revealed that distinct DRX mechanisms were activated under different extrusion conditions.P1 predominantly exhibited twinning-induced dynamic recrystallization(TDRX)and continuous dynamic recrystallization(CDRX),whereas P3 primarily showed CDRX and discontinuous dynamic recrystallization(DDRX).These DRX mechanisms,in combination with the activated slip systems governed by the evolving local stress state,collectively contributed to orientation rotation and texture development.During the early stage of extrusion,tensile strain along the ED promoted basalslip,rotating the c-axes toward the ND.As deformation progressed,compressive strain along the ND became dominant.In P1,basalslip remained active,aligning the c-axes along the ND and forming a smaller angle with the ED.In contrast,P3 exhibited predominant pyramidal<c+a>slip,resulting in a pronounced deviation of the c-axes from the ND and a slightly larger angle relative to the ED.The P2 sample exhibited a transitional texture state between those of P1 and P3.
基金supported by the National Natural Science Foundation of China(Grant Nos.12125504 and 12305050)the National Key R&D Program of China(Grant No.2022YFA1404400)+2 种基金the Hundred Talents Program of the Chinese Academy of Sciences,the Natural Science Foundation of Jiangsu Higher Education Institutions of China(Grant No.23KJB140017)the Opening Project of Shanghai Key Laboratory of Special Artificial Microstructure Materials and Technology(Grant No.Ammt2023B-1)the Guangdong University of Technology SPOE Seed Foundation(Grant No.SF2024111502).
文摘We propose a near-field thermophotovoltaic system utilizing magnetic Weyl semimetals,which exhibit a distinct gyrotropic effect originating from their intrinsic axion field.Critically,we demonstrate that intentional band dislocation,achieved by layer-specific tuning of the chemical potential,significantly enhances the energyconversion efficiency.This effect arises from the formation of quasi-flat bands in momentum space,which broaden the spectral heat flux and amplify photon tunneling above the bandgap.At optimized chemical potential mismatches,the system achieves a 65%Carnot efficiency and a power density of 7×10^(4)W·m^(-2),surpassing symmetric configurations by 7%.The optimization of the Weyl semimetals thickness further demonstrates a clear tuning window where both the output power and energy-conversion efficiency are significantly improved.These results establish chemical-potential engineering toward high-efficiency near-field thermophotovoltaics for waste heat recovery and infrared energy applications.
基金supported by the National Natural Science Foundation of China under Grant Nos.U2167204,11975040,111 Center(B20065)Brazilian authors were supported in part by local funding agencies CNPq+10 种基金FAPERJCAPESand INCT-FNA(Instituto Nacional de Ciência e Tecnologia,Física Nuclear e Aplicacoes)Research Project No.464898/2014-5Marco Siciliano's work was partially supported by the US Department of EnergyOffice of Scienceand Office of Nuclear Physics(DE-AC02-06CH11357)supported by Nuclear Energy Development and Research Project No.HNKF202224(28)Ling Chuang Research Project of the China National Nuclear Corporation No.CNNCLCKY-2023 and No.20221024000072F6-0002-7Guangdong Key Research and Development Program No.2020B040420005Guangdong Basic and Applied Basic Research Foundation No.2021B1515120027。
文摘The^(6)Li+^(89)Y experiment was performed to explore the reaction mechanism induced by a weakly bound nucleus^(6)Li and its cluster configuration.The particle-γcoincidence method was used to identify the different reaction channels.Theγ-rays coincident with^(3)He/^(3)H indicate that the^(3)H/^(3)He stripping reaction plays a significant role in the formation of Zr/Nb isotopes.The obtained results support the existence of a^(3)He-^(3)H cluster in^(6)Li.Direct and sequential transfer reactions are adequately discussed,and the FRESCO code is used to perform precise finite-range cyclic redundancy check calculations.In the microscopic calculation,direct cluster transfer is more predominant than sequential transfer in^(3)H transfer.However,the direct cluster transfer is of comparable magnitude to the sequential transfer in the^(3)He transfer.
基金supported by the National Science and Technology Council,Taiwan[Grant number:NSTC111-2320-B-030-013]as well as the Chang Gung University of Science Foundation,Taiwan[Grant number:ZRRPF6N0011].
文摘Background:Silica nanoparticles(SiNPs),commonly utilized in industrial and biomedical fields,are known to provoke pulmonary inflammation by elevating cyclooxygenase-2(COX-2)levels in human pulmonary alveolar epithelial cells(HPAEpiCs).Salvianolic acid A(SAA),a water-soluble polyphenol extracted from Salvia miltiorrhiza(Danshen),possesses well-documented antioxidant and anti-inflammatory activities.Nevertheless,its potential to counteract SiNP-induced inflammatory responses in the lung has not been thoroughly explored.Objective:This study aimed to evaluate the protective role and mechanistic actions of SAA against SiNP-triggered inflammation in both cellular and animal models.Methods:HPAEpiCs were pre-incubated with SAA prior to SiNP exposure to investigate changes in COX-2 expression and prostaglandin E2(PGE2)secretion.A murine model of SiNP-induced lung inflammation was used for in vivo validation.Key inflammatory signaling proteins,including c-Src,PKCα,p42/p44MAPK,and NF-κB p65,were analyzed for phosphorylation status.NF-κB promoter activity was also assessed.Pharmacological inhibitors and siRNA-mediated silencing were employed to verify the signaling cascade responsible for COX-2 regulation.Results:SAA treatment markedly suppressed SiNP-induced upregulation of COX-2 and PGE2 in bothHPAEpiCs andmouse lung tissues.SAA also reduced the activation(phosphorylation)of c-Src,PKCα,p42/p44 MAPK,and NF-κB p65,alongside diminishing NF-κB transcriptional activity.Functional studies using inhibitors and gene silencing further supported the involvement of these pathways inmediating the observed anti-inflammatory effect.Conclusion:By concurrently targeting several upstream pro-inflammatory signaling pathways,SAA demonstrates robust potential in alleviating SiNP-induced lung inflammation.These results highlight SAA as a promising candidate for therapeutic intervention in environmentally triggered respiratory conditions.
基金Project (2011CB605504) supported by the National Basic Research Program of China
文摘Numerical investigations on the flow field in Ti-Al melt during rectangular cold crucible directional solidification were carried out. Combined with the experimental results, 3-D finite element models for calculating flow field inside melting pool were established, the characteristics of the flow under different power parameters were further studied. Numerical calculation results show that there is a complex circular flow in the melt, a rapid horizontal flow exists on the solid/liquid interface and those flows confluence in the center of the melting pool. The flow velocity v increases with the increase of current intensity, but the flow patterns remain unchanged. When the current is 1000 A, the vmax reaches 4 mm/s and the flow on the interface achieves 3 mm/s. Flow patterns are quite different when the frequency changes from 10 kHz to 100 kHz, the mechanism of the frequency influence on the flow pattern is analyzed, and there is an optimum frequency for cold crucible directional solidification.
