Focusing on the digital evaluation of classroom teaching quality in private colleges and universities,an indicator model of“teaching subject-teaching object-teaching effect”for the landscape architecture major of Ch...Focusing on the digital evaluation of classroom teaching quality in private colleges and universities,an indicator model of“teaching subject-teaching object-teaching effect”for the landscape architecture major of Chongqing College of Humanities,Science&Technology was constructed.By using methods such as Delphi,AHP,Likert and questionnaire survey,the teaching quality of 8 courses of landscape architecture major was evaluated.The results show that the average score of the indicators is 2.8776,indicating that the overall improvement space for the teaching quality of the sample professional courses is relatively large,and the key shortcomings are students’learning interest and initiative,the application and transformation of professional knowledge,as well as the cultivation of innovation and practical ability.The research verified the scientific nature and discrimination of the model,and put forward suggestions for the precise improvement of classroom atmosphere,assignment design and ability cultivation driven by data,thereby providing a replicable model for the digital evaluation and teaching quality improvement of engineering majors in private colleges and universities.展开更多
The damage caused by thermal stress during rewarming vitrified biosamples is one of the major obstacles for clinical purposes.Magnetic warming is a highly effective approach to overcome this hurdle and can achieve rap...The damage caused by thermal stress during rewarming vitrified biosamples is one of the major obstacles for clinical purposes.Magnetic warming is a highly effective approach to overcome this hurdle and can achieve rapid and spatially homogeneous heating.The current research investigates the effects of magnetic warming on the histological and biomechanical properties of the vitrified umbilical arteries(UAs)through experiments and simulation.The results of experiments show that,for the case of magnetic warming comparing with the conventional water bath,magnetic warming presents better preservation of extracellular matrix(ECM),collagen fibers,elastic fibers,and muscle fibers of the umbilical artery.There is no significant difference between magnetothermal and fresh UAs(p>0.05)in the elastic modulus and the ultimate stress.The theoretical results reveal that the maximum temperature difference Tmax inside the biosample is 1.117±0.649℃,and the maximum thermal stressmax is 0.026±0.016 MPa.However,for the case of conventional water bath,Tmax is 32.342±0.967℃andmax is 1.453±0.047 MPa.Moreover,we have arrived at the same conclusion by simulation as theoretical calculation have.Therefore,magnetic warming can effectively reduce the thermal stress damage of biological samples during the warming period due to more uniform and rapid warming.These results confirm that magnetothermal can significantly improve the mechanical properties of large size cryopreserved tissues or organs such as UAs.展开更多
Firstly,the behavior of marine science and technology talents,such as scientific research,innovation,agglomeration and flow behavior,was analyzed,and then the problems in the training of marine science and technology ...Firstly,the behavior of marine science and technology talents,such as scientific research,innovation,agglomeration and flow behavior,was analyzed,and then the problems in the training of marine science and technology talents were discussed.Finally,the training ways of marine science and technology talents were proposed.展开更多
Since the beginning of the 21st century,advances in big data and artificial intelligence have driven a paradigm shift in the geosciences,moving the field from qualitative descriptions toward quantitative analysis,from...Since the beginning of the 21st century,advances in big data and artificial intelligence have driven a paradigm shift in the geosciences,moving the field from qualitative descriptions toward quantitative analysis,from observing phenomena to uncovering underlying mechanisms,from regional-scale investigations to global perspectives,and from experience-based inference toward data-and model-enabled intelligent prediction.AlphaEarth Foundations(AEF)is a next-generation geospatial intelligence platform that addresses these changes by introducing a unified 64-dimensional shared embedding space,enabling-for the first time-standardized representation and seamless integration of 12 distinct types of Earth observation data,including optical,radar,and lidar.This framework significantly improves data assimilation efficiency and resolves the persistent problem of“data silos”in geoscience research.AEF is helping redefine research methodologies and fostering breakthroughs,particularly in quantitative Earth system science.This paper systematically examines how AEF’s innovative architecture-featuring multi-source data fusion,high-dimensional feature representation learning,and a scalable computational framework-facilitates intelligent,precise,and realtime data-driven geoscientific research.Using case studies from resource and environmental applications,we demonstrate AEF’s broad potential and identify emerging innovation needs.Our findings show that AEF not only enhances the efficiency of solving traditional geoscientific problems but also stimulates novel research directions and methodological approaches.展开更多
NJmat is a user-friendly,data-driven machine learning interface designed for materials design and analysis.The platform integrates advanced computational techniques,including natural language processing(NLP),large lan...NJmat is a user-friendly,data-driven machine learning interface designed for materials design and analysis.The platform integrates advanced computational techniques,including natural language processing(NLP),large language models(LLM),machine learning potentials(MLP),and graph neural networks(GNN),to facili-tate materials discovery.The platform has been applied in diverse materials research areas,including perovskite surface design,catalyst discovery,battery materials screening,structural alloy design,and molecular informatics.By automating feature selection,predictive modeling,and result interpretation,NJmat accelerates the development of high-performance materials across energy storage,conversion,and structural applications.Additionally,NJmat serves as an educational tool,allowing students and researchers to apply machine learning techniques in materials science with minimal coding expertise.Through automated feature extraction,genetic algorithms,and interpretable machine learning models,NJmat simplifies the workflow for materials informatics,bridging the gap between AI and experimental materials research.The latest version(available at https://figshare.com/articles/software/NJmatML/24607893(accessed on 01 January 2025))enhances its functionality by incorporating NJmatNLP,a module leveraging language models like MatBERT and those based on Word2Vec to support materials prediction tasks.By utilizing clustering and cosine similarity analysis with UMAP visualization,NJmat enables intuitive exploration of materials datasets.While NJmat primarily focuses on structure-property relationships and the discovery of novel chemistries,it can also assist in optimizing processing conditions when relevant parameters are included in the training data.By providing an accessible,integrated environment for machine learning-driven materials discovery,NJmat aligns with the objectives of the Materials Genome Initiative and promotes broader adoption of AI techniques in materials science.展开更多
With the development of educational digitalization,how to effectively apply digital animation technology to traditional classroom teaching has become an urgent problem to be solved.This study explores the application ...With the development of educational digitalization,how to effectively apply digital animation technology to traditional classroom teaching has become an urgent problem to be solved.This study explores the application of Manim in the course of Mathematical Methods for Physics.Taking the visualization of Fourier series,complex numbers,and other content as examples,it improves students’understanding of complex and abstract mathematical physics concepts through dynamic and visual teaching methods.The teaching effect shows that Manim helps to enhance students’learning experience,improve teaching efficiency and effectiveness,and has a positive impact on students’active learning ability.The research in this paper can provide references and inspiration for the educational digitalization of higher education.展开更多
As one of the commonly used technologies in modern civil engineering,the construction technology is becoming more and more widely used with the continuous growth of building height.In the construction process of highr...As one of the commonly used technologies in modern civil engineering,the construction technology is becoming more and more widely used with the continuous growth of building height.In the construction process of highrise buildings,the deep foundation pit support provides the necessary stability for the foundation structure of the building project,and more effectively guarantees the quality of the project.Through the reasonable supporting structure,the deep foundation pit technology can effectively prevent the risk of soil collapse,foundation pit deformation and other risks,and improve the safety factor of the whole construction project.Especially in the high-rise buildings,the deep foundation pit support technology can consolidate the foundation for the long-term stability of the project,and significantly prolong the service life of the building.The continuous development of deep foundation pit construction technology is the inevitable demand of high-rise building construction,and also provides a powerful help for the development of civil engineering industry.Based on this,this paper focuses on the application of deep foundation pit construction technology in civil engineering construction.展开更多
To investigate the targets and mechanism of Hedysarum Multijugum Maxim(HMM)in treatment of bladder cancer(BC).Based on Traditional Chinese Medicine Systems Pharmacology(TCMSP)and gene databases,active substances and p...To investigate the targets and mechanism of Hedysarum Multijugum Maxim(HMM)in treatment of bladder cancer(BC).Based on Traditional Chinese Medicine Systems Pharmacology(TCMSP)and gene databases,active substances and potential targets of HMM were screened,and the HMM-active substances-targets-BC(HATB)regulatory network and PPI network were constructed.Hub targets were screened by Cytoscape.The main active substances and Hub targets were molecularly docked with AutoDock and visualized by PyMOL.12 Hub targets were screened.Molecular docking showed that active substances mainly acted on MAPK14,MAPK1 and CCND1.The bindings of calycosin to MAPK14,formononetin to MAPK14,and calycosin to CCND1 were stable.展开更多
Low-velocity impact tests are carried out to explore the energy absorption characteristics of bio-inspired lattices,mimicking the architecture of the marine sponge organism Euplectella aspergillum.These sea sponge-ins...Low-velocity impact tests are carried out to explore the energy absorption characteristics of bio-inspired lattices,mimicking the architecture of the marine sponge organism Euplectella aspergillum.These sea sponge-inspired lattice structures feature a square-grid 2D lattice with double diagonal bracings and are additively manufactured via digital light processing(DLP).The collapse strength and energy absorption capacity of sea sponge lattice structures are evaluated under various impact conditions and are compared to those of their constituent square-grid and double diagonal lattices.This study demonstrates that sea sponge lattices can achieve an 11-fold increase in energy absorption compared to the square-grid lattice,due to the stabilizing effect of the double diagonal bracings prompting the structure to collapse layer-bylayer under impact.By adjusting the thickness ratio in the sea sponge lattice,up to 76.7%increment in energy absorption is attained.It is also shown that sea-sponge lattices outperform well-established energy-absorbing materials of equal weight,such as hexagonal honeycombs,confirming their significant potential for impact mitigation.Additionally,this research highlights the enhancements in energy absorption achieved by adding a small amount(0.015 phr)of Multi-Walled Carbon Nanotubes(MWCNTs)to the photocurable resin,thus unlocking new possibilities for the design of innovative lightweight structures with multifunctional attributes.展开更多
This study investigates the relationship between atmospheric stratification (i.e., static stability given by N^(2)) and the vertical energy transfer of stationary planetary waves, and further illustrates the underlyin...This study investigates the relationship between atmospheric stratification (i.e., static stability given by N^(2)) and the vertical energy transfer of stationary planetary waves, and further illustrates the underlying physical mechanism. Specifically, for the simplified case of constant stratospheric N^(2), the refractive index square of planetary waves has a theoretical tendency to increase first and then decrease with an increased N^(2), whereas the group velocity weakens. Mechanistically, this behavior can be understood as an intensified suppression of vertical isentropic surface displacement caused by meridional heat transport of planetary waves under strong N^(2) conditions. Observational analysis corroborates this finding, demonstrating a reduction in the vertical-propagation velocity of waves with increased N^(2). A linear, quasi- geostrophic, mid-latitude beta-plane model with a constant background westerly wind and a prescribed N^(2) applicable to the stratosphere is used to obtain analytic solutions. In this model, the planetary waves are initiated by steady energy influx from the lower boundary. The analysis indicates that under strong N^(2) conditions, the amplitude of planetary waves can be sufficiently increased by the effective energy convergence due to the slowing vertical energy transfer, resulting in a streamfunction response in this model that contains more energy. For N^(2) with a quasi-linear vertical variation, the results bear a resemblance to the constant case, except that the wave amplitude and oscillating frequency show some vertical variations.展开更多
Graph Neural Networks(GNNs)have proven highly effective for graph classification across diverse fields such as social networks,bioinformatics,and finance,due to their capability to learn complex graph structures.Howev...Graph Neural Networks(GNNs)have proven highly effective for graph classification across diverse fields such as social networks,bioinformatics,and finance,due to their capability to learn complex graph structures.However,despite their success,GNNs remain vulnerable to adversarial attacks that can significantly degrade their classification accuracy.Existing adversarial attack strategies primarily rely on label information to guide the attacks,which limits their applicability in scenarios where such information is scarce or unavailable.This paper introduces an innovative unsupervised attack method for graph classification,which operates without relying on label information,thereby enhancing its applicability in a broad range of scenarios.Specifically,our method first leverages a graph contrastive learning loss to learn high-quality graph embeddings by comparing different stochastic augmented views of the graphs.To effectively perturb the graphs,we then introduce an implicit estimator that measures the impact of various modifications on graph structures.The proposed strategy identifies and flips edges with the top-K highest scores,determined by the estimator,to maximize the degradation of the model’s performance.In addition,to defend against such attack,we propose a lightweight regularization-based defense mechanism that is specifically tailored to mitigate the structural perturbations introduced by our attack strategy.It enhances model robustness by enforcing embedding consistency and edge-level smoothness during training.We conduct experiments on six public TU graph classification datasets:NCI1,NCI109,Mutagenicity,ENZYMES,COLLAB,and DBLP_v1,to evaluate the effectiveness of our attack and defense strategies.Under an attack budget of 3,the maximum reduction in model accuracy reaches 6.67%on the Graph Convolutional Network(GCN)and 11.67%on the Graph Attention Network(GAT)across different datasets,indicating that our unsupervised method induces degradation comparable to state-of-the-art supervised attacks.Meanwhile,our defense achieves the highest accuracy recovery of 3.89%(GCN)and 5.00%(GAT),demonstrating improved robustness against structural perturbations.展开更多
Efficient thermal management and electromagnetic interference(EMI)shielding are critical challenges for the reliable operation of portable electronic devices.Herein,we report the design and fabrication of multifunctio...Efficient thermal management and electromagnetic interference(EMI)shielding are critical challenges for the reliable operation of portable electronic devices.Herein,we report the design and fabrication of multifunctional layered composite phase change materials(CPCMs)comprising alternating cellulose nanofiber/phase change capsule/sodium alginate(CNF/PCC/SA)layers and MXene/sodium alginate(MXene/SA)layers.The strong interfacial adhesion and controlled multilayer architecture enable the CPCM to achieve high electrical conductivity(up to 279.8 S/cm)and excellent EMI shielding effectiveness(up to 57.6 dB in the X-band).The layered structure enhances electromagnetic wave attenuation via multiple internal reflections and polarization losses,outperforming homogeneous composites.Moreover,the CPCMs exhibit superior light absorption(maximum nearly 100% for the optimized 5-layer structure)and efficient light-to-thermal conversion,achieving rapid temperature increases and uniform heat distribution under light irradiation.Additionally,the phase change capsules enable latent heat storage,ensuring thermal buffering and prolonged temperature regulation.This work provides novel insights into the rational design of multifunctional composites integrating wireless thermal management and EMI shielding,with promising applications in wearable electronics and smart thermal regulation.展开更多
Cirrus clouds play a crucial role in the energy balance of the Earth-atmosphere system.We investigated the spatiotemporal variations of cirrus over the South China Sea(SCS)using satellite data(MOD08,MYD08,CALIPSO)and ...Cirrus clouds play a crucial role in the energy balance of the Earth-atmosphere system.We investigated the spatiotemporal variations of cirrus over the South China Sea(SCS)using satellite data(MOD08,MYD08,CALIPSO)and reanalysis data(MERRA-2)from March 2007 to February 2015(eight years).The horizontal distribution reveals lower cirrus fraction values in the northern SCS and higher values in the southern region,with minima observed in March and April and maxima sequentially occurring in August(northern SCS,NSCS),September(middle SCS,MSCS),and December(southern SCS,SSCS).Vertically,the cirrus fraction peaks in summer and reaches its lowest levels in spring.Opaque cirrus dominates during summer in the NSCS and MSCS,comprising 53.6%and 55.9%,respectively,while the SSCS exhibits a higher frequency of opaque cirrus relative to other cloud types.Subvisible cirrus clouds have the lowest frequency year-round,whereas thin cirrus is most prominent in winter in the NSCS(46.3%)and in spring in the MSCS(45.3%).A case study from September 2021 further explores the influence of ice crystal habits on brightness temperature(BT)over the SCS.Simulations utilizing five ice crystal shapes from the ARTS DDA(Atmospheric Radiative Transfer Simulator Discrete Dipole Approximation)database and the RTTOV 12.4 radiative transfer model reveal that the 8-column-aggregate shape best represents BT in the NSCS and SSCS,while the large-block-aggregate shape performs better in the SSCS.展开更多
In this study,we analyze the impact of the May 2024 geomagnetic storm on the thermospheric mass density by using TianMu-1 constellation satellite(TM02,TM06,TM07,TM11,TM15)observations.These observations reveal intense...In this study,we analyze the impact of the May 2024 geomagnetic storm on the thermospheric mass density by using TianMu-1 constellation satellite(TM02,TM06,TM07,TM11,TM15)observations.These observations reveal intense large-scale traveling atmospheric disturbances(TADs)originating at high latitudes and propagating equatorward.Observations by TM02 captured the evolution of a TAD structure:An initial amplitude of~3.89×10^(-12)kg/m^(3)at hundred-kilometer scale subsequently intensified to 4.78×10^(-12)kg/m^(3),with the spatial extent expanding to the thousand-kilometer level.Significant hemispheric asymmetry was observed:the absolute density was higher predominantly in the northern hemisphere(TM02,TM06,TM07,TM11),whereas the difference in the relative density consistently showed greater enhancements in the southern hemisphere across all satellites,with the maximum north-south density differences exceeding 195%-640%above 60°latitude.In conjunction with SuperDARN(Super Dual Auroral Radar Network)observations,this striking hemispheric asymmetry can likely be attributed to disparities in plasma convection patterns between the two hemispheres.Furthermore,density perturbation characteristics exhibited strong local time(LT)dependence:Near noon(~10.7 LT,TM02 descending),the northern hemisphere onset preceded the southern onset.Conversely,near dusk(~17.6 LT,TM15 descending),the southern onset led the northern onset by approximately 3 hours.Ascending orbits(TM02,TM06,TM07,TM15)typically yielded larger global density enhancements compared with smaller southern-confined enhancements during descending orbits.Satellite TM11 showed comparable perturbations in both ascending and descending orbits.By leveraging its unique orbital architecture,the TianMu-1 constellation enables global near-simultaneous multi-LT sampling,providing a robust data foundation for both scientific research and engineering applications.展开更多
This study introduces a new ocean surface friction velocity scheme and a modified Thompson cloud microphysics parameterization scheme into the CMA-TYM model.The impact of these two parameterization schemes on the pred...This study introduces a new ocean surface friction velocity scheme and a modified Thompson cloud microphysics parameterization scheme into the CMA-TYM model.The impact of these two parameterization schemes on the prediction of the movement track and intensity of Typhoon Kompasu in 2021 is examined.Additionally,the possible reasons for their effects on tropical cyclone(TC)intensity prediction are analyzed.Statistical results show that both parameterization schemes improve the predictions of Typhoon Kompasu’s track and intensity.The influence on track prediction becomes evident after 60 h of model integration,while the significant positive impact on intensity prediction is observed after 66 h.Further analysis reveals that these two schemes affect the timing and magnitude of extreme TC intensity values by influencing the evolution of the TC’s warm-core structure.展开更多
Improving device efficiency is fundamental for advancing energy harvesting technology,particularly in systems designed to convert light energy into electrical output.In our previous studies,we developed a basic struct...Improving device efficiency is fundamental for advancing energy harvesting technology,particularly in systems designed to convert light energy into electrical output.In our previous studies,we developed a basic structure light pressure electric generator(Basic-LPEG),which utilized a layered configuration of Ag/Pb(Zr,Ti)O_(3)(PZT)/Pt/GaAs to generate electricity based on light-induced pressure on the PZT.In this study,we sought to enhance the performance of this Basic-LPEG by introducing Ag nanoparticles/graphene oxide(AgNPs/GO)composite units(NP-LPEG),creating upgraded harvesting device.Specifically,by depositing the AgNPs/GO units twice onto the Basic-LPEG,we observed an increase in output voltage and current from 241 mV and 3.1μA to 310 mV and 9.3μA,respectively,under a solar simulator.The increase in electrical output directly correlated with the intensity of the light pressure impacting the PZT,as well as matched the Raman measurements,finite-difference time-domain simulations,and COMSOL Multiphysics Simulation.Experimental data revealed that the enhancement in electrical output was proportional to the number of hot spots generated between Ag nanoparticles,where the electric field experienced substantial amplification.These results underline the effectiveness of AgNPs/GO units in boosting the light-induced electric generation capacity,thereby providing a promising pathway for high-efficiency energy harvesting devices.展开更多
Recently,reactive oxygen species(ROS)-independent mimetics of oxidase with Au nanoclusters(NCs)as the catalysts and MnO_(2)as electron acceptor have gained attention.In this study,we aim to explore the oxidase-mimicki...Recently,reactive oxygen species(ROS)-independent mimetics of oxidase with Au nanoclusters(NCs)as the catalysts and MnO_(2)as electron acceptor have gained attention.In this study,we aim to explore the oxidase-mimicking potential of bovine serum albumin(BSA)-templated metal nanoclusters(BSA-M NCs,where M=Ag,Pt,Cu,or Cd)beyond Au NCs in boosting the oxidation of 3,3',5,5'-tetramethylbenzidine(TMB)by MnO_(2),denoted as BM@Metal.The oxidase-mimetic activity of BM@Metal is independent of ROS and generally enhanced by the incorporation of metal nanoclusters.Notably,this enhancement varies with the metal species,with BSA-Cd exhibiting the highest activity.The X-ray photoelectron spectroscopy(XPS)analysis confirms mixed valence states(Mn(Ⅳ)/Mn(Ⅱ))in BM@Cd.Given that the catalytic activity is closely linked to the substrate adsorption,the label-free isothermal titration calorimetry was employed to probe the affinity between TMB and BSA-M NCs,which provides a robust approach for probing the interface adsorption.The results reveal that the superior catalytic performance of BSA-Cd correlates with enhanced TMB adsorption,likely facilitated by coordination and hydrophobic interactions.Finally,the superior catalytic performance of BSA-M NCs on the oxidation of TMB by MnO_(2)has inspired us to fabricate the assay for analyzing α-glucosidase’s activity.This work not only demonstrates the versatility of metal NCs in constructing ROS-independent oxidase mimetics but also provides interfacial adsorption engineered strategy for the rational design of superior ROS independent mimetics of natural oxidase.展开更多
The electromagnetic wave absorption of silicon carbide nanowires is improved by their uniform and diverse cross-structures.This study introduces a sustainable and high value-added method for synthesizing silicon carbi...The electromagnetic wave absorption of silicon carbide nanowires is improved by their uniform and diverse cross-structures.This study introduces a sustainable and high value-added method for synthesizing silicon carbide nanowires using lignite and waste silicon powder as raw materials through carbothermal reduction.The staggered structure of nanowires promotes the creation of interfacial polarization,impedance matching,and multiple loss mechanisms,leading to enhanced electromagnetic absorption performance.The silicon carbide nanowires demonstrate outstanding electromagnetic absorption capabilities with the minimum reflection loss of-48.09 d B at10.08 GHz and an effective absorption bandwidth(the reflection loss less than-10 d B)ranging from 8.54 to 16.68 GHz with a thickness of 2.17 mm.This research presents an innovative approach for utilizing solid waste in an environmentally friendly manner to produce broadband silicon carbide composite absorbers.展开更多
The magnetic properties and Kondo effect in Ce3TiBi5 with a quasi-one-dimensional structure were investigated using in situ high-pressure resistivity measurements up to 48 GPa.At ambient pressure,Ce_(3)TiBi_(5) underg...The magnetic properties and Kondo effect in Ce3TiBi5 with a quasi-one-dimensional structure were investigated using in situ high-pressure resistivity measurements up to 48 GPa.At ambient pressure,Ce_(3)TiBi_(5) undergoes an antiferromagnetic(AFM)transition at T_(N)∼5 K.Under high pressures within 8.9 GPa,we find that Kondo scattering contributes differently to the high-temperature resistance,R(T),depending on the applied current direction,demonstrating a significantly anisotropic Kondo effect.The complete P–T phase diagram has been constructed,in which the pressure dependence of T_(N) exhibits a dome-like shape.The AFM order remains robust under pressure,even when the coherence temperature T^(*) far exceeds 300 K.We attribute the observed anisotropic Kondo effect and the robust AFM to the underlying anisotropy in electronic hybridization under high pressure.展开更多
The unique fruity aroma of strawberries enhances their appeal to consumers.Fragaria nilgerrensis,a wild strawberry distributed in Southwest China and known for its distinctive peach-like aroma,represents a valuable re...The unique fruity aroma of strawberries enhances their appeal to consumers.Fragaria nilgerrensis,a wild strawberry distributed in Southwest China and known for its distinctive peach-like aroma,represents a valuable resource for improving the fragrance of cultivated strawberries.However,the molecular mechanism underlying the peach-like aroma biosynthesis remains largely unexplored.In this study,we integrated metabolomic and transcriptomic data across four developmental stages of F.nilgerrensis fruits to construct a detailed profile of volatile organic compounds(VOCs)and the associated gene expression alterations during fruit maturation.Our findings reveal that g-decalactone,d-decalactone,and g-undecalactone are the primary compounds responsible for the pronounced peach-like aroma,with their levels showing a significant correlation with the activity of the FngFAD2 enzyme.The silencing of the FngFAD2 gene through tobacco rattle viral(TRV)induction resulted in notable reductions in both the peach-like aroma and lactone content in the fruit.In addition,integrating dual luciferase assays,yeast one-hybrid(Y1H)and subcellular localization experiments,we also identified three transcription factors(FngDOF1.2,FngWRKY3,and FngWRI1)that enhance FngFAD2 expression.These findings elucidate the molecular regulatory network involved in the complex developmental process of peach-like flavor in strawberry fruits.Additionally,our research also provides a foundation for the utilization of the wild strawberry as well as improving the flavor and quality of cultivated strawberries.展开更多
基金Sponsored by the Research Project of Higher Education(Undergraduate)Teaching Reform of Chongqing Municipal Education Commission in 2025(253272)Key Project of Educational Reform of Chongqing College of Humanities,Science&Technology(23CRKXJJG08).
文摘Focusing on the digital evaluation of classroom teaching quality in private colleges and universities,an indicator model of“teaching subject-teaching object-teaching effect”for the landscape architecture major of Chongqing College of Humanities,Science&Technology was constructed.By using methods such as Delphi,AHP,Likert and questionnaire survey,the teaching quality of 8 courses of landscape architecture major was evaluated.The results show that the average score of the indicators is 2.8776,indicating that the overall improvement space for the teaching quality of the sample professional courses is relatively large,and the key shortcomings are students’learning interest and initiative,the application and transformation of professional knowledge,as well as the cultivation of innovation and practical ability.The research verified the scientific nature and discrimination of the model,and put forward suggestions for the precise improvement of classroom atmosphere,assignment design and ability cultivation driven by data,thereby providing a replicable model for the digital evaluation and teaching quality improvement of engineering majors in private colleges and universities.
基金the National Natural Science Foundation of China(Nos.51576132,52076140)the National Science and Technology Major Project on Important Infectious Diseases Prevention and Control(2018ZX10734404).
文摘The damage caused by thermal stress during rewarming vitrified biosamples is one of the major obstacles for clinical purposes.Magnetic warming is a highly effective approach to overcome this hurdle and can achieve rapid and spatially homogeneous heating.The current research investigates the effects of magnetic warming on the histological and biomechanical properties of the vitrified umbilical arteries(UAs)through experiments and simulation.The results of experiments show that,for the case of magnetic warming comparing with the conventional water bath,magnetic warming presents better preservation of extracellular matrix(ECM),collagen fibers,elastic fibers,and muscle fibers of the umbilical artery.There is no significant difference between magnetothermal and fresh UAs(p>0.05)in the elastic modulus and the ultimate stress.The theoretical results reveal that the maximum temperature difference Tmax inside the biosample is 1.117±0.649℃,and the maximum thermal stressmax is 0.026±0.016 MPa.However,for the case of conventional water bath,Tmax is 32.342±0.967℃andmax is 1.453±0.047 MPa.Moreover,we have arrived at the same conclusion by simulation as theoretical calculation have.Therefore,magnetic warming can effectively reduce the thermal stress damage of biological samples during the warming period due to more uniform and rapid warming.These results confirm that magnetothermal can significantly improve the mechanical properties of large size cryopreserved tissues or organs such as UAs.
基金Supported by Foundation for Humanities and Social Sciences Research Planning of Ministry of Education of China in 2019(19YJA630058)
文摘Firstly,the behavior of marine science and technology talents,such as scientific research,innovation,agglomeration and flow behavior,was analyzed,and then the problems in the training of marine science and technology talents were discussed.Finally,the training ways of marine science and technology talents were proposed.
基金National Natural Science Foundation of China Key Project(No.42050103)Higher Education Disciplinary Innovation Program(No.B25052)+2 种基金the Guangdong Pearl River Talent Program Innovative and Entrepreneurial Team Project(No.2021ZT09H399)the Ministry of Education’s Frontiers Science Center for Deep-Time Digital Earth(DDE)(No.2652023001)Geological Survey Project of China Geological Survey(DD20240206201)。
文摘Since the beginning of the 21st century,advances in big data and artificial intelligence have driven a paradigm shift in the geosciences,moving the field from qualitative descriptions toward quantitative analysis,from observing phenomena to uncovering underlying mechanisms,from regional-scale investigations to global perspectives,and from experience-based inference toward data-and model-enabled intelligent prediction.AlphaEarth Foundations(AEF)is a next-generation geospatial intelligence platform that addresses these changes by introducing a unified 64-dimensional shared embedding space,enabling-for the first time-standardized representation and seamless integration of 12 distinct types of Earth observation data,including optical,radar,and lidar.This framework significantly improves data assimilation efficiency and resolves the persistent problem of“data silos”in geoscience research.AEF is helping redefine research methodologies and fostering breakthroughs,particularly in quantitative Earth system science.This paper systematically examines how AEF’s innovative architecture-featuring multi-source data fusion,high-dimensional feature representation learning,and a scalable computational framework-facilitates intelligent,precise,and realtime data-driven geoscientific research.Using case studies from resource and environmental applications,we demonstrate AEF’s broad potential and identify emerging innovation needs.Our findings show that AEF not only enhances the efficiency of solving traditional geoscientific problems but also stimulates novel research directions and methodological approaches.
基金supported by the Jiangsu Provincial Science and Technology Project Basic Research Program(Natural Science Foundation of Jiangsu Province)(No.BK20211283).
文摘NJmat is a user-friendly,data-driven machine learning interface designed for materials design and analysis.The platform integrates advanced computational techniques,including natural language processing(NLP),large language models(LLM),machine learning potentials(MLP),and graph neural networks(GNN),to facili-tate materials discovery.The platform has been applied in diverse materials research areas,including perovskite surface design,catalyst discovery,battery materials screening,structural alloy design,and molecular informatics.By automating feature selection,predictive modeling,and result interpretation,NJmat accelerates the development of high-performance materials across energy storage,conversion,and structural applications.Additionally,NJmat serves as an educational tool,allowing students and researchers to apply machine learning techniques in materials science with minimal coding expertise.Through automated feature extraction,genetic algorithms,and interpretable machine learning models,NJmat simplifies the workflow for materials informatics,bridging the gap between AI and experimental materials research.The latest version(available at https://figshare.com/articles/software/NJmatML/24607893(accessed on 01 January 2025))enhances its functionality by incorporating NJmatNLP,a module leveraging language models like MatBERT and those based on Word2Vec to support materials prediction tasks.By utilizing clustering and cosine similarity analysis with UMAP visualization,NJmat enables intuitive exploration of materials datasets.While NJmat primarily focuses on structure-property relationships and the discovery of novel chemistries,it can also assist in optimizing processing conditions when relevant parameters are included in the training data.By providing an accessible,integrated environment for machine learning-driven materials discovery,NJmat aligns with the objectives of the Materials Genome Initiative and promotes broader adoption of AI techniques in materials science.
基金supported by the Teaching Reform Research Project of Shaanxi University of Science&Technology(23Y083)the Project of National University Association for Mathematical Methods in Physics(JZW-23-SL-02)+3 种基金the Graduate Course Construction Project of Shaanxi University of Science&Technology(KC2024Y03)the 2024 National Higher Education University Physics Reform Research Project(2024PR064)the Teaching Reform Research Project of the International Office of Shaanxi University of Science&Technology(YB202410)Graduate Education and Teaching Reform Research Project of Shaanxi University of Science&Technology(JG2025Y18).
文摘With the development of educational digitalization,how to effectively apply digital animation technology to traditional classroom teaching has become an urgent problem to be solved.This study explores the application of Manim in the course of Mathematical Methods for Physics.Taking the visualization of Fourier series,complex numbers,and other content as examples,it improves students’understanding of complex and abstract mathematical physics concepts through dynamic and visual teaching methods.The teaching effect shows that Manim helps to enhance students’learning experience,improve teaching efficiency and effectiveness,and has a positive impact on students’active learning ability.The research in this paper can provide references and inspiration for the educational digitalization of higher education.
文摘As one of the commonly used technologies in modern civil engineering,the construction technology is becoming more and more widely used with the continuous growth of building height.In the construction process of highrise buildings,the deep foundation pit support provides the necessary stability for the foundation structure of the building project,and more effectively guarantees the quality of the project.Through the reasonable supporting structure,the deep foundation pit technology can effectively prevent the risk of soil collapse,foundation pit deformation and other risks,and improve the safety factor of the whole construction project.Especially in the high-rise buildings,the deep foundation pit support technology can consolidate the foundation for the long-term stability of the project,and significantly prolong the service life of the building.The continuous development of deep foundation pit construction technology is the inevitable demand of high-rise building construction,and also provides a powerful help for the development of civil engineering industry.Based on this,this paper focuses on the application of deep foundation pit construction technology in civil engineering construction.
基金2025 Open Experimental Special Fund of Beijing Institute of Technology, “Applications and Practices of R Language in Bioinformatics”。
文摘To investigate the targets and mechanism of Hedysarum Multijugum Maxim(HMM)in treatment of bladder cancer(BC).Based on Traditional Chinese Medicine Systems Pharmacology(TCMSP)and gene databases,active substances and potential targets of HMM were screened,and the HMM-active substances-targets-BC(HATB)regulatory network and PPI network were constructed.Hub targets were screened by Cytoscape.The main active substances and Hub targets were molecularly docked with AutoDock and visualized by PyMOL.12 Hub targets were screened.Molecular docking showed that active substances mainly acted on MAPK14,MAPK1 and CCND1.The bindings of calycosin to MAPK14,formononetin to MAPK14,and calycosin to CCND1 were stable.
基金supported by the Khalifa University of Science and Technology internal grants(Nos.2021-CIRA-109,2020-CIRA-007,and 2020-CIRA-024).
文摘Low-velocity impact tests are carried out to explore the energy absorption characteristics of bio-inspired lattices,mimicking the architecture of the marine sponge organism Euplectella aspergillum.These sea sponge-inspired lattice structures feature a square-grid 2D lattice with double diagonal bracings and are additively manufactured via digital light processing(DLP).The collapse strength and energy absorption capacity of sea sponge lattice structures are evaluated under various impact conditions and are compared to those of their constituent square-grid and double diagonal lattices.This study demonstrates that sea sponge lattices can achieve an 11-fold increase in energy absorption compared to the square-grid lattice,due to the stabilizing effect of the double diagonal bracings prompting the structure to collapse layer-bylayer under impact.By adjusting the thickness ratio in the sea sponge lattice,up to 76.7%increment in energy absorption is attained.It is also shown that sea-sponge lattices outperform well-established energy-absorbing materials of equal weight,such as hexagonal honeycombs,confirming their significant potential for impact mitigation.Additionally,this research highlights the enhancements in energy absorption achieved by adding a small amount(0.015 phr)of Multi-Walled Carbon Nanotubes(MWCNTs)to the photocurable resin,thus unlocking new possibilities for the design of innovative lightweight structures with multifunctional attributes.
基金supported by the National Natural Science Foundation of China(Grant No.42261134532,42405059,and U2342212)。
文摘This study investigates the relationship between atmospheric stratification (i.e., static stability given by N^(2)) and the vertical energy transfer of stationary planetary waves, and further illustrates the underlying physical mechanism. Specifically, for the simplified case of constant stratospheric N^(2), the refractive index square of planetary waves has a theoretical tendency to increase first and then decrease with an increased N^(2), whereas the group velocity weakens. Mechanistically, this behavior can be understood as an intensified suppression of vertical isentropic surface displacement caused by meridional heat transport of planetary waves under strong N^(2) conditions. Observational analysis corroborates this finding, demonstrating a reduction in the vertical-propagation velocity of waves with increased N^(2). A linear, quasi- geostrophic, mid-latitude beta-plane model with a constant background westerly wind and a prescribed N^(2) applicable to the stratosphere is used to obtain analytic solutions. In this model, the planetary waves are initiated by steady energy influx from the lower boundary. The analysis indicates that under strong N^(2) conditions, the amplitude of planetary waves can be sufficiently increased by the effective energy convergence due to the slowing vertical energy transfer, resulting in a streamfunction response in this model that contains more energy. For N^(2) with a quasi-linear vertical variation, the results bear a resemblance to the constant case, except that the wave amplitude and oscillating frequency show some vertical variations.
基金funded by the National Key Research and Development Program of China(Grant No.2024YFE0209000)the NSFC(Grant No.U23B2019).
文摘Graph Neural Networks(GNNs)have proven highly effective for graph classification across diverse fields such as social networks,bioinformatics,and finance,due to their capability to learn complex graph structures.However,despite their success,GNNs remain vulnerable to adversarial attacks that can significantly degrade their classification accuracy.Existing adversarial attack strategies primarily rely on label information to guide the attacks,which limits their applicability in scenarios where such information is scarce or unavailable.This paper introduces an innovative unsupervised attack method for graph classification,which operates without relying on label information,thereby enhancing its applicability in a broad range of scenarios.Specifically,our method first leverages a graph contrastive learning loss to learn high-quality graph embeddings by comparing different stochastic augmented views of the graphs.To effectively perturb the graphs,we then introduce an implicit estimator that measures the impact of various modifications on graph structures.The proposed strategy identifies and flips edges with the top-K highest scores,determined by the estimator,to maximize the degradation of the model’s performance.In addition,to defend against such attack,we propose a lightweight regularization-based defense mechanism that is specifically tailored to mitigate the structural perturbations introduced by our attack strategy.It enhances model robustness by enforcing embedding consistency and edge-level smoothness during training.We conduct experiments on six public TU graph classification datasets:NCI1,NCI109,Mutagenicity,ENZYMES,COLLAB,and DBLP_v1,to evaluate the effectiveness of our attack and defense strategies.Under an attack budget of 3,the maximum reduction in model accuracy reaches 6.67%on the Graph Convolutional Network(GCN)and 11.67%on the Graph Attention Network(GAT)across different datasets,indicating that our unsupervised method induces degradation comparable to state-of-the-art supervised attacks.Meanwhile,our defense achieves the highest accuracy recovery of 3.89%(GCN)and 5.00%(GAT),demonstrating improved robustness against structural perturbations.
基金the National Natural Science Foundation of China(No.52436003)Guangdong Basic and Applied Basic Research Foundation(No.2023A1515011985).
文摘Efficient thermal management and electromagnetic interference(EMI)shielding are critical challenges for the reliable operation of portable electronic devices.Herein,we report the design and fabrication of multifunctional layered composite phase change materials(CPCMs)comprising alternating cellulose nanofiber/phase change capsule/sodium alginate(CNF/PCC/SA)layers and MXene/sodium alginate(MXene/SA)layers.The strong interfacial adhesion and controlled multilayer architecture enable the CPCM to achieve high electrical conductivity(up to 279.8 S/cm)and excellent EMI shielding effectiveness(up to 57.6 dB in the X-band).The layered structure enhances electromagnetic wave attenuation via multiple internal reflections and polarization losses,outperforming homogeneous composites.Moreover,the CPCMs exhibit superior light absorption(maximum nearly 100% for the optimized 5-layer structure)and efficient light-to-thermal conversion,achieving rapid temperature increases and uniform heat distribution under light irradiation.Additionally,the phase change capsules enable latent heat storage,ensuring thermal buffering and prolonged temperature regulation.This work provides novel insights into the rational design of multifunctional composites integrating wireless thermal management and EMI shielding,with promising applications in wearable electronics and smart thermal regulation.
基金supported by the National Natural Science Foundation of China(Grant Nos.42027804,41775026,and 41075012)。
文摘Cirrus clouds play a crucial role in the energy balance of the Earth-atmosphere system.We investigated the spatiotemporal variations of cirrus over the South China Sea(SCS)using satellite data(MOD08,MYD08,CALIPSO)and reanalysis data(MERRA-2)from March 2007 to February 2015(eight years).The horizontal distribution reveals lower cirrus fraction values in the northern SCS and higher values in the southern region,with minima observed in March and April and maxima sequentially occurring in August(northern SCS,NSCS),September(middle SCS,MSCS),and December(southern SCS,SSCS).Vertically,the cirrus fraction peaks in summer and reaches its lowest levels in spring.Opaque cirrus dominates during summer in the NSCS and MSCS,comprising 53.6%and 55.9%,respectively,while the SSCS exhibits a higher frequency of opaque cirrus relative to other cloud types.Subvisible cirrus clouds have the lowest frequency year-round,whereas thin cirrus is most prominent in winter in the NSCS(46.3%)and in spring in the MSCS(45.3%).A case study from September 2021 further explores the influence of ice crystal habits on brightness temperature(BT)over the SCS.Simulations utilizing five ice crystal shapes from the ARTS DDA(Atmospheric Radiative Transfer Simulator Discrete Dipole Approximation)database and the RTTOV 12.4 radiative transfer model reveal that the 8-column-aggregate shape best represents BT in the NSCS and SSCS,while the large-block-aggregate shape performs better in the SSCS.
基金funded by the TianMu-1 Constellation Atmospheric Density Detector(Grant No.E3C1162110).
文摘In this study,we analyze the impact of the May 2024 geomagnetic storm on the thermospheric mass density by using TianMu-1 constellation satellite(TM02,TM06,TM07,TM11,TM15)observations.These observations reveal intense large-scale traveling atmospheric disturbances(TADs)originating at high latitudes and propagating equatorward.Observations by TM02 captured the evolution of a TAD structure:An initial amplitude of~3.89×10^(-12)kg/m^(3)at hundred-kilometer scale subsequently intensified to 4.78×10^(-12)kg/m^(3),with the spatial extent expanding to the thousand-kilometer level.Significant hemispheric asymmetry was observed:the absolute density was higher predominantly in the northern hemisphere(TM02,TM06,TM07,TM11),whereas the difference in the relative density consistently showed greater enhancements in the southern hemisphere across all satellites,with the maximum north-south density differences exceeding 195%-640%above 60°latitude.In conjunction with SuperDARN(Super Dual Auroral Radar Network)observations,this striking hemispheric asymmetry can likely be attributed to disparities in plasma convection patterns between the two hemispheres.Furthermore,density perturbation characteristics exhibited strong local time(LT)dependence:Near noon(~10.7 LT,TM02 descending),the northern hemisphere onset preceded the southern onset.Conversely,near dusk(~17.6 LT,TM15 descending),the southern onset led the northern onset by approximately 3 hours.Ascending orbits(TM02,TM06,TM07,TM15)typically yielded larger global density enhancements compared with smaller southern-confined enhancements during descending orbits.Satellite TM11 showed comparable perturbations in both ascending and descending orbits.By leveraging its unique orbital architecture,the TianMu-1 constellation enables global near-simultaneous multi-LT sampling,providing a robust data foundation for both scientific research and engineering applications.
基金supported by the National Key R&D Program of China[grant number 2023YFC3008004]。
文摘This study introduces a new ocean surface friction velocity scheme and a modified Thompson cloud microphysics parameterization scheme into the CMA-TYM model.The impact of these two parameterization schemes on the prediction of the movement track and intensity of Typhoon Kompasu in 2021 is examined.Additionally,the possible reasons for their effects on tropical cyclone(TC)intensity prediction are analyzed.Statistical results show that both parameterization schemes improve the predictions of Typhoon Kompasu’s track and intensity.The influence on track prediction becomes evident after 60 h of model integration,while the significant positive impact on intensity prediction is observed after 66 h.Further analysis reveals that these two schemes affect the timing and magnitude of extreme TC intensity values by influencing the evolution of the TC’s warm-core structure.
基金supported by Korea Evaluation Institute of Industrial Technology(KEIT)grant funded by the Korea Government(MOTIE)(RS-2022-00154720,Technology Innovation Program Development of next-generation power semiconductor based on Si-on-SiC structure)the National Research Foundation of Korea(NRF)by the Korea government(RS-2023-NR076826)Global-Learning&Academic Research Institution for Master's·PhD students,and Postdocs(LAMP)Program of the National Research Foundation of Korea(NRF)by the Ministry of Education(No.RS-2024-00443714).
文摘Improving device efficiency is fundamental for advancing energy harvesting technology,particularly in systems designed to convert light energy into electrical output.In our previous studies,we developed a basic structure light pressure electric generator(Basic-LPEG),which utilized a layered configuration of Ag/Pb(Zr,Ti)O_(3)(PZT)/Pt/GaAs to generate electricity based on light-induced pressure on the PZT.In this study,we sought to enhance the performance of this Basic-LPEG by introducing Ag nanoparticles/graphene oxide(AgNPs/GO)composite units(NP-LPEG),creating upgraded harvesting device.Specifically,by depositing the AgNPs/GO units twice onto the Basic-LPEG,we observed an increase in output voltage and current from 241 mV and 3.1μA to 310 mV and 9.3μA,respectively,under a solar simulator.The increase in electrical output directly correlated with the intensity of the light pressure impacting the PZT,as well as matched the Raman measurements,finite-difference time-domain simulations,and COMSOL Multiphysics Simulation.Experimental data revealed that the enhancement in electrical output was proportional to the number of hot spots generated between Ag nanoparticles,where the electric field experienced substantial amplification.These results underline the effectiveness of AgNPs/GO units in boosting the light-induced electric generation capacity,thereby providing a promising pathway for high-efficiency energy harvesting devices.
基金the financial support from the National Natural Science Foundation of China(Nos.22073025,21603067,and U23A2089)the Program of Science and Technology Plan of the City of Tianjin(No.24JRRCRC00040)+1 种基金Opening Fund of Hubei Key Laboratory of Bioinorganic Chemistry&Materia Medica(No.BCMM202507)the Open Fund of Hubei Key Laboratory of Resources and Chemistry of Chinese Medicine(No.KLRCCM2404).
文摘Recently,reactive oxygen species(ROS)-independent mimetics of oxidase with Au nanoclusters(NCs)as the catalysts and MnO_(2)as electron acceptor have gained attention.In this study,we aim to explore the oxidase-mimicking potential of bovine serum albumin(BSA)-templated metal nanoclusters(BSA-M NCs,where M=Ag,Pt,Cu,or Cd)beyond Au NCs in boosting the oxidation of 3,3',5,5'-tetramethylbenzidine(TMB)by MnO_(2),denoted as BM@Metal.The oxidase-mimetic activity of BM@Metal is independent of ROS and generally enhanced by the incorporation of metal nanoclusters.Notably,this enhancement varies with the metal species,with BSA-Cd exhibiting the highest activity.The X-ray photoelectron spectroscopy(XPS)analysis confirms mixed valence states(Mn(Ⅳ)/Mn(Ⅱ))in BM@Cd.Given that the catalytic activity is closely linked to the substrate adsorption,the label-free isothermal titration calorimetry was employed to probe the affinity between TMB and BSA-M NCs,which provides a robust approach for probing the interface adsorption.The results reveal that the superior catalytic performance of BSA-Cd correlates with enhanced TMB adsorption,likely facilitated by coordination and hydrophobic interactions.Finally,the superior catalytic performance of BSA-M NCs on the oxidation of TMB by MnO_(2)has inspired us to fabricate the assay for analyzing α-glucosidase’s activity.This work not only demonstrates the versatility of metal NCs in constructing ROS-independent oxidase mimetics but also provides interfacial adsorption engineered strategy for the rational design of superior ROS independent mimetics of natural oxidase.
基金supported by the National Natural Science Foundation of China(No.52436008)the Inner Mongolia Science and Technology Projects,China(Nos.JMRHZX20210003 and 2023YFCY0009)+3 种基金the Huaneng Group Co Ltd.,China(No.HNKJ23-H50)the National Natural Science Foundation of China(No.22408044)the China Postdoctoral Science Foundation(No.2024M761877)the National Key R&D Program of China(No.SQ2024YFD2200039)。
文摘The electromagnetic wave absorption of silicon carbide nanowires is improved by their uniform and diverse cross-structures.This study introduces a sustainable and high value-added method for synthesizing silicon carbide nanowires using lignite and waste silicon powder as raw materials through carbothermal reduction.The staggered structure of nanowires promotes the creation of interfacial polarization,impedance matching,and multiple loss mechanisms,leading to enhanced electromagnetic absorption performance.The silicon carbide nanowires demonstrate outstanding electromagnetic absorption capabilities with the minimum reflection loss of-48.09 d B at10.08 GHz and an effective absorption bandwidth(the reflection loss less than-10 d B)ranging from 8.54 to 16.68 GHz with a thickness of 2.17 mm.This research presents an innovative approach for utilizing solid waste in an environmentally friendly manner to produce broadband silicon carbide composite absorbers.
基金supported by the National Key Research and Development Program of Chinathe National Natural Science Foundation of China (Grant Nos.2024YFA1408000,12474097,and2023YFA1406001)+2 种基金the Guangdong Provincial Quantum Science Strategic Initiative (Grant No.GDZX2201001)the Center for Computational Science and Engineering at Southern University of Science and Technology,the Major Science and Technology Infrastructure Project of Material Genome Big-science Facilities Platform supported by Municipal Development and Reform Commission of Shenzhen(for J.L.Z.and Y.L.)the Chinese funding sources applied via HPSTAR。
文摘The magnetic properties and Kondo effect in Ce3TiBi5 with a quasi-one-dimensional structure were investigated using in situ high-pressure resistivity measurements up to 48 GPa.At ambient pressure,Ce_(3)TiBi_(5) undergoes an antiferromagnetic(AFM)transition at T_(N)∼5 K.Under high pressures within 8.9 GPa,we find that Kondo scattering contributes differently to the high-temperature resistance,R(T),depending on the applied current direction,demonstrating a significantly anisotropic Kondo effect.The complete P–T phase diagram has been constructed,in which the pressure dependence of T_(N) exhibits a dome-like shape.The AFM order remains robust under pressure,even when the coherence temperature T^(*) far exceeds 300 K.We attribute the observed anisotropic Kondo effect and the robust AFM to the underlying anisotropy in electronic hybridization under high pressure.
基金supported by grants from National Natural Science Foundation of China(Grant Nos.32372655,32060085,32260094,32060237)Applied Basic Research Project of Yunnan(Grant Nos.202301AS070071,and 202101AZ070001-166)Yunnan Innovation Guidance and Technology Enterprise Cultivation Plan Project(Grant No.202304BT090032).
文摘The unique fruity aroma of strawberries enhances their appeal to consumers.Fragaria nilgerrensis,a wild strawberry distributed in Southwest China and known for its distinctive peach-like aroma,represents a valuable resource for improving the fragrance of cultivated strawberries.However,the molecular mechanism underlying the peach-like aroma biosynthesis remains largely unexplored.In this study,we integrated metabolomic and transcriptomic data across four developmental stages of F.nilgerrensis fruits to construct a detailed profile of volatile organic compounds(VOCs)and the associated gene expression alterations during fruit maturation.Our findings reveal that g-decalactone,d-decalactone,and g-undecalactone are the primary compounds responsible for the pronounced peach-like aroma,with their levels showing a significant correlation with the activity of the FngFAD2 enzyme.The silencing of the FngFAD2 gene through tobacco rattle viral(TRV)induction resulted in notable reductions in both the peach-like aroma and lactone content in the fruit.In addition,integrating dual luciferase assays,yeast one-hybrid(Y1H)and subcellular localization experiments,we also identified three transcription factors(FngDOF1.2,FngWRKY3,and FngWRI1)that enhance FngFAD2 expression.These findings elucidate the molecular regulatory network involved in the complex developmental process of peach-like flavor in strawberry fruits.Additionally,our research also provides a foundation for the utilization of the wild strawberry as well as improving the flavor and quality of cultivated strawberries.
