Future ozone(O₃)pollution in China is shaped by complex interactions between emission reductions and meteorological changes under China’s carbon peaking and neutrality targets.This study employs the WRF-CMAQ modeling...Future ozone(O₃)pollution in China is shaped by complex interactions between emission reductions and meteorological changes under China’s carbon peaking and neutrality targets.This study employs the WRF-CMAQ modeling system with process analysis to quantify the impacts of meteorology and emissions on O₃and atmospheric oxidation capacity(AOC)across major Chinese regions in 2030.Under the carbon peaking scenario,wintertime O₃concentration increases across most regions,while summertime daytime O₃decreases except in the Yangtze River Delta(YRD).Nighttime O₃generally increases across all regions,and overall AOC is enhanced,particularly in summer.Disentangling the roles of meteorology and emissions shows that,although meteorological changes alone would reduce O₃in winter through enhanced dilution and limited photochemical activity,the effect of emission reductions dominates by weakening the nitric oxide(NO)titration effect,resulting in a net O₃increase.In summer,daytime emission reductions weaken NO titration,while higher humidity suppresses O₃formation,except in the YRD,where reduced humidity promotes O₃production.At night,stronger winds enhance vertical mixing and promote the downward transport of O₃from the residual layer,and the reduced NO titration effect further increases O₃levels.These findings underscore the importance of targeted mitigation strategies that account for the distinct seasonal and regional responses of O₃and AOC to both emission and meteorological changes under future climate and policy scenarios.展开更多
Transition metal sulfides(TMSs)are widely recognized as promising catalysts for the oxygen evolution reaction(OER),yet their large–scale application is hindered by poor conductivity,severe aggregation and sluggish re...Transition metal sulfides(TMSs)are widely recognized as promising catalysts for the oxygen evolution reaction(OER),yet their large–scale application is hindered by poor conductivity,severe aggregation and sluggish reaction kinetics.To address these issues,a ternary CoS2/FeS2/Ti3C2Tx hybrid is rationally constructed via a three–in–one strategy,which simultaneously achieves the support introduction,morphology modulation and heterojunction construction.Structural characterizations reveal a hierarchical architecture composed of 1D CoS2 nanorods,0D FeS2 nanoparticles and 2D conductive Ti3C2Tx nanosheets,wherein CoS2 and FeS2 form a distinctive 1D/0D heterojunction.Density functional theory calculations demonstrate that strong electronic coupling at the CoS2/FeS2 heterointerface accelerates electron transfer and optimizes the adsorption behavior of oxygen intermediates.Benefiting from the synergistic effects between the CoS2/FeS2 heterojunction and the conductive Ti3C2Tx support,the as–prepared CoS2/FeS2/Ti3C2Tx hybrid exhibits elevated conductivity,promoted dispersibility and accelerated reaction kinetics,thus resulting in markedly improved OER performance as compared to the control samples.Additionally,the CoS2/FeS2/Ti3C2Tx hybrid presents a remarkably low overpotential of 284 mV when used as the anode catalyst in a water–splitting device,demonstrating its outstanding applicability for overall water electrolysis.Overall,this work provides a viable strategy for engineering high–performance TMS–based electrocatalysts through heterointerface design and conductive support integration.展开更多
The testing of large structures is limited by high costs and long cycles, making scaling methods an attractive solution. However, the scaling process of elastic rings introduces complexities in multi-parameter geometr...The testing of large structures is limited by high costs and long cycles, making scaling methods an attractive solution. However, the scaling process of elastic rings introduces complexities in multi-parameter geometric distortions, leading to a diminution in the predictive accuracy of the distorted similitude. To address this challenge, this study formulates a novel set of scaling laws, tailored to account for the intricate geometric distortions associated with elastic rings. The proposed scaling laws are formulated based on the intrinsic deformation characteristics of elastic rings, rather than the traditional systemic governing equations. Numerical and experimental cases are conducted to assess the efficacy and precision of the proposed scaling laws, and the obtained results are compared with those achieved by traditional methods. The outcomes demonstrate that the scaling laws put forth by this study significantly enhance the predictive capabilities for deformations of elastic rings.展开更多
Hydraulic presses are indispensable in automotive and aerospace manufacturing,with hydraulic cylinders serving as key components for operational safety and product quality.Internal leakage faults in hydraulic cylinder...Hydraulic presses are indispensable in automotive and aerospace manufacturing,with hydraulic cylinders serving as key components for operational safety and product quality.Internal leakage faults in hydraulic cylinders are difficult to diagnose due to the scarcity of labeled data,the complexity of fault mechanisms,and the limited representation capability of single-signal methods under variable operating conditions.To address these issues,a hybrid deep learning feature fusion model based on displacement error and pressure signal,including convolutional autoencoder,multi-head attention mechanism,residual network and bidirectional long short time series neural network(CAEMRAB),is proposed for the diagnosis and classification of leakage faults in hydraulic cylinders.A hydraulic cylinder test system simulates heavy load,variable speed,and nonlinear motion under actual operating conditions.Through the all-round deep feature decoupling of the proposed model,the multi-source signal representation ability in complex and multi-noise environments is enhanced,effectively extracting the local and global features of displacement error and pressure signal fault data and achieving efficient classification.Experimental results indicate that the proposed model achieves at least a 3.95%improvement in diagnostic accuracy compared with ablation models.In addition,it exhibits high diagnostic stability across other models,single-signal diagnosis,varying sample sizes,and complex noise conditions.These experiments fully validate the superior performance of the proposed method in terms of diagnostic accuracy,reliability,and robustness.展开更多
Sepsis is a dysregulated host response to infection that frequently results in fatal multiple organ dysfunction.Despite advances in clinical identification and management,both its incidence and mortality have remained...Sepsis is a dysregulated host response to infection that frequently results in fatal multiple organ dysfunction.Despite advances in clinical identification and management,both its incidence and mortality have remained persistently high.Emerging evidence indicates that cell-free DNA(cfDNA),as a novel biomarker and molecular therapeutic target,holds promise for improving the clinical management of sepsis.cfDNA refers to DNA fragments present in body fluids,including naked DNA,membrane-coated DNA,nucleosomes,and neutrophil extracellular traps(NETs).cfDNA is released from host cells or pathogens into body fluids through pathways,such as NETosis,mitochondrial damage,cell necrosis,apoptosis,pyroptosis,and erythroblast enucleation.The released cfDNA triggers a strong inflammatory response by activating Toll-like receptor(TLR)9,the absent in melanoma 2(AIM2)inflammasome,and the cyclic GMP-AMP synthase(cGAS)-stimulator of interferon genes(STING)signaling pathway.At the same time,cfDNA activates the coagulation cascade and inhibits anticoagulant and fibrinolytic systems through multiple mechanisms,resulting in microcirculatory disorders.These pathological effects are closely associated with sepsis-related organ dysfunction and poor prognosis.Elucidation of the release and pathological mechanisms of cfDNA provides a foundation for the development of targeted treatment strategies.Currently,molecular therapeutic approaches targeting cfDNA,including peptidylarginine deiminase(PAD)4 inhibitors,pore-forming inhibitors,antioxidants,cfDNA scavengers,and deoxyribonucleases(DNases),have shown certain efficacy in treating sepsis and systemic inflammation.In terms of sepsis monitoring,compared with traditional markers,cfDNA exhibits extremely high timeliness and dynamic monitoring capability.cfDNA can simultaneously indicate the complex interplay among infection,host response,and organ damage,making it suitable for early diagnosis,prognosis assessment,treatment monitoring,organ function evaluation,and pathogen detection.Given its broad application prospects in the diagnosis and treatment of sepsis,this paper systematically elaborates on the mechanisms of cfDNA release and pathological effects in sepsis,reviews progress in cfDNA-targeted monitoring and therapeutic strategies,discusses technical challenges,and outlines potential future directions.展开更多
Molecular networking-guided chemical investigation of the Euphorbia endophyte Malbranchea umbrina D16 led to the isolation of 14 novel unusually cyclized triterpenoids(UCT)involving three different skeletal types.Comp...Molecular networking-guided chemical investigation of the Euphorbia endophyte Malbranchea umbrina D16 led to the isolation of 14 novel unusually cyclized triterpenoids(UCT)involving three different skeletal types.Compounds 1–10 are tricyclic triterpenoids featuring a 1-cyclohexyloctahydro-1H-indene core,in which 1 incoporates an unusual 7,7-dimethyl-6,8-dioxabicyclo[3.1.2]octane motif.Compounds 11–13represent a rare class of bicyclic triterpenes(6/5 ring system)containing various O-heterocycles at the side chain.Compound 14 is an acyclic triterpenoid with O-heterocycles at both ends.Their structures were assigned by spectroscopic,chemical,computational,and crystallographic means,which also allowed the stereochemical revisions of three previously reported analogues.Compound 1 significantly inhibited the adipogenesis in 3T3-L1 adipocytes via activating the AMP-activated protein kinase(AMPK)signalling.展开更多
Penispirolactam(1)and penipyrroloindole(2),two highly modified paspaline-type indole diterpenoids(IDTs),along with three new(3-5)and two known(6 and 7)paspaline-type IDTs were obtained from the endophytic fungus Penic...Penispirolactam(1)and penipyrroloindole(2),two highly modified paspaline-type indole diterpenoids(IDTs),along with three new(3-5)and two known(6 and 7)paspaline-type IDTs were obtained from the endophytic fungus Penicillium janthinellum H-6 guided by liquid chromatography-mass spectrometry(LCMS)-based molecular network.Architecturally,penispirolactam(1)possesses a unique octacyclic skeleton(6/5/6/6/5/6/6/6)with a spiro core formed by the integration of a C6-C2 unit with the indole moiety,and penipyrroloindole(2)represents a rearranged octacyclic skeleton(6/5/6/5/5/6/6/6)with a pyrrolo[1,2-a]indole core fragment.Their structures,including absolute configurations,were established by detailed spectroscopic analysis,gauge-independent atomic orbital(GIAO)1D nuclear magnetic resonance(NMR)(DP4+)calculation protocol,and electronic circular dichroism(ECD)calculation method.The plausible biosynthetic pathway of compounds 1 and 2 was also speculated.Additionally,the anti-hepatic fibrosis activity of all compounds was explored,and it was found that 1 could exert its effects by inhibiting the transforming growth factor-β(TGF-β)/Smad signaling pathway without cytotoxicity.展开更多
The fine-scale habitat selection behavior of juvenile Chinese alligators(Alligator sinensis)is crucial to understand for ex situ environment design and in situ habitat restoration,yet how thermal requirements shape th...The fine-scale habitat selection behavior of juvenile Chinese alligators(Alligator sinensis)is crucial to understand for ex situ environment design and in situ habitat restoration,yet how thermal requirements shape their microhabitat use remains unclear.To address this,we studied ten juveniles in a semi-natural artificial pond with four environmentally distinct quadrants during September 2025.Using 24-h video surveillance and systematic sampling,we analyzed their spatial use patterns,diel rhythms,and environmental drivers via temporal trend analysis and generalized linear mixed modeling(GLMM).Results indicated heterogeneous space use across quadrants and spatially distinct diel rhythms.Habitat selection was best explained by an interaction between solar exposure ratio and time of day.The GLMM revealed a significant interaction between solar exposure ratio and time period(P<0.05),with simple slope analysis showing that solar exposure ratio had a strong positive effect on habitat use in the afternoon and night but not the morning.Concealment area also had a consistent positive effect.These findings demonstrate that juvenile Chinese alligators employ a dynamic,thermalrequirement-driven spatiotemporal strategy.This behavioral plasticity is critical for maintaining physiological homeostasis,suggesting that access to thermally heterogeneous habitats may be an important consideration in conservation planning for this species.展开更多
A Hybrid Free-Form Deformation(HFFD)method is developed to improve shape preservation in mesh deformation for perforated surfaces,which traditional Free-Form Deformation(FFD)techniques struggle to handle effectively.T...A Hybrid Free-Form Deformation(HFFD)method is developed to improve shape preservation in mesh deformation for perforated surfaces,which traditional Free-Form Deformation(FFD)techniques struggle to handle effectively.The proposed method enables high-fidelity parameterized deformation for both flat and curved perforated surfaces while maintaining mesh quality with minimal geometric distortion.To evaluate its effectiveness,comparative studies between HFFD and conventional FFD methods are conducted,demonstrating superior performance in mesh quality and geometric fidelity.The HFFD-based framework is further applied to the Multidisciplinary Design Optimization(MDO)of a double-wall turbine blade leading edge.Results indicate an 11.6%increase in cooling efficiency and a 16.21%reduction in maximum stress.Additionally,compared to traditional geometry-based parameterization in MDO,the HFFD approach improves model processing efficiency by 84.15%and overall optimization efficiency by20.05%.These findings demonstrate HFFD's potential to significantly improve complex engineering design optimization by achieving precise shape preservation and improving computational efficiency.展开更多
Nondestructive measurement technology of phenotype can provide substantial phenotypic data support for applications such as seedling breeding,management,and quality testing.The current method of measuring seedling phe...Nondestructive measurement technology of phenotype can provide substantial phenotypic data support for applications such as seedling breeding,management,and quality testing.The current method of measuring seedling phenotypes mainly relies on manual measurement which is inefficient,subjective and destroys samples.Therefore,the paper proposes a nondestructive measurement method for the canopy phenotype of the watermelon plug seedlings based on deep learning.The Azure Kinect was used to shoot canopy color images,depth images,and RGB-D images of the watermelon plug seedlings.The Mask-RCNN network was used to classify,segment,and count the canopy leaves of the watermelon plug seedlings.To reduce the error of leaf area measurement caused by mutual occlusion of leaves,the leaves were repaired by CycleGAN,and the depth images were restored by image processing.Then,the Delaunay triangulation was adopted to measure the leaf area in the leaf point cloud.The YOLOX target detection network was used to identify the growing point position of each seedling on the plug tray.Then the depth differences between the growing point and the upper surface of the plug tray were calculated to obtain plant height.The experiment results show that the nondestructive measurement algorithm proposed in this paper achieves good measurement performance for the watermelon plug seedlings from the 1 true-leaf to 3 true-leaf stages.The average relative error of measurement is 2.33%for the number of true leaves,4.59%for the number of cotyledons,8.37%for the leaf area,and 3.27%for the plant height.The experiment results demonstrate that the proposed algorithm in this paper provides an effective solution for the nondestructive measurement of the canopy phenotype of the plug seedlings.展开更多
Plant–pathogen interactions are complex,multifaceted processes involving various participants,including insect vectors and parasitic plants,that play a crucial role in the spread of plant diseases.This review explore...Plant–pathogen interactions are complex,multifaceted processes involving various participants,including insect vectors and parasitic plants,that play a crucial role in the spread of plant diseases.This review explores the intricate relationships between plants,pathogens,and insect vectors,emphasizing these interactions'ecological and epidemiological significance.Insect vectors,such as aphids,leafhoppers,whiteflies,and beetles,transmit various plant pathogens,including viruses,bacteria,fungi,and phytoplasmas,through different mechanisms.The transmission mode can be direct or indirect,continuous or discontinuous,depending on the biology of the pathogen and the insect vector.We differentiate between noncirculative and circulative pathogen transmission pathways and describe how pathogen movement within insect bodies influences their ability to spread diseases to new plant hosts.The impacts of these interactions extend beyond agricultural productivity to encompass significant economic losses,environmental challenges,and potential human health risks due to excessive use of chemical controls.Understanding these complex dynamics is essential for designing effective disease management strategies and developing environmentally sustainable control measures.This review synthesizes current knowledge on the transmission mechanisms,types of plant pathogens,and the consequences of insect-mediated disease spread,providing insights crucial for advancing plant protection and integrated pest management practices.展开更多
Solid-state electrolytes(SSEs)are key materials for next-generation high-energy batteries because of their enhanced chemical and mechanical stabilities.Poly(ethylene oxide)(PEO)-based solid polymer electrolytes(SPEs)e...Solid-state electrolytes(SSEs)are key materials for next-generation high-energy batteries because of their enhanced chemical and mechanical stabilities.Poly(ethylene oxide)(PEO)-based solid polymer electrolytes(SPEs)exhibit great physical contact with electrodes,electrochemical compatibility with lithium(Li)metal anodes,as well as easy processibility and high economic efficiency,having become the pioneer and one frontrunner for developing all-solid-state high-energy batteries.However,PEO-based SPEs also suffer from a trade-off between ionic conductivity and mechanical strength,an insufficient cationic transference number,and a weak high-voltage stability,limiting their practical achievement in desirable power and energy density.Herein,we present a comprehensive overview on the intramolecular design strategies of PEO,which has the potential to fundamentally tackle above challenges compared to the intermolecular plasticizer or ceramic blending approaches.Topological and chemical designs for target mechano-electro-chemical performance are classified and summarized in detail.On this basis,a perspective on the unconquered issues and future directions is proposed,providing guidance for the design and application of high-performance SSEs for next-generation high-energy batteries,with special emphasis on the rational integration of intramolecular and intermolecular methods and the development of advanced manufacture techniques for flexible yet robust thin films.展开更多
The bending behavior of microbeams in micro-nano devices exhibits significant size effects,making accurate prediction of their mechanical behaviors crucial for device reliability.This paper employs the modified couple...The bending behavior of microbeams in micro-nano devices exhibits significant size effects,making accurate prediction of their mechanical behaviors crucial for device reliability.This paper employs the modified couple stress theory(MCST)and derives the governing equations for the Reddy beam theory(RBT)via the principle of virtual work.By considering the load equivalence,the analytical solutions for the bending problem are derived and expressed as the functional relations based on the Euler-Bernoulli beam model.Once the Euler-Bernoulli beam solution is obtained,the exact solution for the corresponding Reddy beam can be directly determined through these functional relations and boundary conditions.Analytical solutions for the doubly simply-supported(S-S),clamped-free(C-F),and clamped-clamped(C-C)boundary conditions are derived and validated through comparison with the results of previous studies.This study clarifies the analytical relationship between the two beam theories at the micro-scale,enabling exact mechanical solutions for higher-order shear deformation beams without solving complex higher-order governing equations.展开更多
Background:Prognostic stratification of hepatocellular carcinoma(HCC)remains difficult because the disease is highly heterogeneous and complete matched multi-omics data are not always available in clinical cohorts.Obj...Background:Prognostic stratification of hepatocellular carcinoma(HCC)remains difficult because the disease is highly heterogeneous and complete matched multi-omics data are not always available in clinical cohorts.Objective:To develop a weakly supervised multi-omics framework that derives prognostic subtype labels from a public reference cohort and transfers them to cohorts with incomplete data.Methods:This study has analyzed 363 patients in TCGA-LIHC with matched mRNA,miRNA,DNA methylation,and clinical data.Overall-survival-related features were selected by univariate Cox regression,integrated by similarity network fusion(SNF),and clustered by spectral clustering to generate pseudo-labels.TCGA-LIHC was then split 6:4 into training and test sets for supervised modeling.External validation used LIRI-JP,GSE14520,GSE54236,and GSE31384,with models rebuilt on features shared with each cohort.Prognostic performance was evaluated by Kaplan-Meier analysis,log-rank testing,and the concordance index(C-index).Results:A total of 3,890 mRNA features,150 miRNA features,and 1,889 methylation features were retained.SNF plus spectral clustering identified two subtypes:S1(n=257)and S2(n=106).S2 had significantly worse overall survival than S1(log-rank P=3.891×10-9;C-index=0.866).In internal validation,XGBoost showed the highest AUC(0.983).In external validation,the predicted subtypes remained prognostically informative,with C-index values of 0.857 in LIRI-JP,0.875 in GSE14520,0.930 in GSE54236,and 0.883 in GSE31384.Conclusions:In the public datasets included in this study,this weakly supervised framework identified two prognostically distinct HCC subtypes and retained prognostic discrimination after transfer to external cohorts with incomplete data.展开更多
Longitudinal magnetic field annealing is utilized for modifying the magnetic anisotropy and enhancing the magnetic softness of Fe75Co8(B10Si3C3P1)1-x/17Cux(x=0.5,0.75,1,1.25)nanocrystalline all...Longitudinal magnetic field annealing is utilized for modifying the magnetic anisotropy and enhancing the magnetic softness of Fe75Co8(B10Si3C3P1)1-x/17Cux(x=0.5,0.75,1,1.25)nanocrystalline alloys.All of the magnetic field-annealed nanocrystalline alloys with Cu content more than 0.5 at.%exhibit significantly improved soft-magnetic properties,including high saturation magnetic flux density up to 1.87 T,effective permeability of 13,000-16,000 under the condition of 1 A/m and 1 kHz,coercivity as low as 1.6 A/m,and core loss of 0.11-0.45 W/kg under the condition of 1.0 T and 50 Hz.The application of a magnetic field promotes the nucleation and inhibits the growth of grains,leading to an increase in the number density of nanocrystals and the crystalline volume fraction,and a reduction in the grain size.The magnetic field annealing reduces the effective magneto-crystalline anisotropy energy to 2-4 J/m3,and induces longitudinal magnetic anisotropy with anisotropy energy density of 400-900 J/m3which shows dependence on the crystalline volume fraction.The field-induced magnetic anisotropy dominates over the random local magnetic anisotropies,and results in the formation of regular magnetic domains aligned longitudinally,pinning-free domain wall displacement,and thus enhanced soft-magnetic properties.展开更多
In low-light environments,captured images often exhibit issues such as insufficient clarity and detail loss,which significantly degrade the accuracy of subsequent target recognition tasks.To tackle these challenges,th...In low-light environments,captured images often exhibit issues such as insufficient clarity and detail loss,which significantly degrade the accuracy of subsequent target recognition tasks.To tackle these challenges,this study presents a novel low-light image enhancement algorithm that leverages virtual hazy image generation through dehazing models based on statistical analysis.The proposed algorithm initiates the enhancement process by transforming the low-light image into a virtual hazy image,followed by image segmentation using a quadtree method.To improve the accuracy and robustness of atmospheric light estimation,the algorithm incorporates a genetic algorithm to optimize the quadtree-based estimation of atmospheric light regions.Additionally,this method employs an adaptive window adjustment mechanism to derive the dark channel prior image,which is subsequently refined using morphological operations and guided filtering.The final enhanced image is reconstructed through the hazy image degradation model.Extensive experimental evaluations across multiple datasets verify the superiority of the designed framework,achieving a peak signal-to-noise ratio(PSNR)of 17.09 and a structural similarity index(SSIM)of 0.74.These results indicate that the proposed algorithm not only effectively enhances image contrast and brightness but also outperforms traditional methods in terms of subjective and objective evaluation metrics.展开更多
The crosstalk between megakaryocytic lineage cells and the skeletal system has just begun to be explored but remains largely elusive.Using conditional gene knockout mouse models,we demonstrated that loss of Beclin 1(B...The crosstalk between megakaryocytic lineage cells and the skeletal system has just begun to be explored but remains largely elusive.Using conditional gene knockout mouse models,we demonstrated that loss of Beclin 1(Becn1),a major regulator of mammalian autophagy,exclusively in the megakaryocytic lineage disrupted autophagy in platelets but did not compromise megakaryopoiesis or the formation and function of platelets.Unexpectedly,conditional Becn1 deletion in male mice led to a remarkable increase in bone mass with improved bone quality,in association with a decrease in sex hormone binding globulin(SHBG)and an increase in free testosterone(FT).In vivo Becn1 overexpression in megakaryocytic lineage-specific cells reduced bone mass and quality,along with an increase in SHBG and a decrease in FT.Transplantation of wild-type bone marrow cells into megakaryocytic lineage Becn1-deficient male mice restored bone mass and normalized SHBG and FT.Furthermore,bilateral orchiectomy of Becn1f/f;Pf4-iCre mice,which are crippled with the production of testosterone,resulted in a reduction in bone mass and quality,whereas in vivo overexpression of SHBG,specifically in the liver of Becn1f/f;Pf4-iCre mice,decreased FT and reduced bone mass and quality.In addition,metformin treatment,which induces SHBG expression,reduced FT and normalized bone mass in Becn1f/f;Pf4-iCre mice.We thus concluded that Becn1 of the megakaryocytic lineage is dispensable locally for platelet hemostasis but limits bone mass by increasing SHBG,which in turn reduces the FT of male mice.Our findings highlight a mechanism by which Becn1 from megakaryocytic lineage cells distally balances bone growth.展开更多
Ce-β-Bi2O3/AgI was prepared using solvothermal calcination and in-situ deposition methods.The introduction of Ce can inhibit the conversion of Bi2O3fromβtoαphase at high temperatures,promoting the forma...Ce-β-Bi2O3/AgI was prepared using solvothermal calcination and in-situ deposition methods.The introduction of Ce can inhibit the conversion of Bi2O3fromβtoαphase at high temperatures,promoting the formation of oxygen vacancies(OVs)in the photocatalyst.OVs can adsorb more dissolved oxygen to promote the formation rate of·O-2.Moreover,the interaction between Ce-Bi2O3and AgI results in the formation of Z-scheme heterojunctions,which can broaden the light absorption region,facilitate photogenerated carrier separation and transfer and enhance the ability to produce more active oxygen species(ROS).The morphology,crystal,element distribution and photo-electric chemical properties of the Ce-Bi2O3/AgI were analyzed,and the result shows that the optimal ratio of Ce-Bi2O3/AgI photocatalyst achieves a removal rate of 88.63%(180 min)of tetracycline(TC)(20 mg/L)and 100%(120 min)of methyl orange(MO)(20 mg/L).This work clarified the photocatalytic degradation mechanism,providing a promising avenue for developing photocatalytic composites by rare earth metal doping in environme ntal remediation applications.展开更多
The synergy between corrosion protection and wear resistance is an effective strategy for the development of multifunctional coating to withstand complex working conditions.This study reports an epoxy resin coating fi...The synergy between corrosion protection and wear resistance is an effective strategy for the development of multifunctional coating to withstand complex working conditions.This study reports an epoxy resin coating filled with benzotriazole loaded metal-organic frameworks(BTA-MOFs)functionalized graphene oxide nanoribbons(GONR)that exhibit active anti-corrosion,act as a barrier to corrosive ion,and enhance wear resistance.The GONR@BTA-MOFs composite is synthesized through chemically etching multi-walled carbon nanotubes and subsequent electrostatic self-assembly corrosion inhibitors loaded MOFs onto the GONR.The composite demonstrates improved compatibility with epoxy resins compared to carbon nanotubes.The anti-corrosion performance of the composite coating is investigated using electrochemical impedance spectroscopy.After immersing in a 3.5 wt.%NaCl solution for 25 d,the alternating current impedance of the composite coating is three orders of magnitude higher than that of pure epoxy resin.Simultaneously,the controlled release of the corrosion inhibitor retards the deterioration of the coating after localized damage occurrence,which functions as active corrosion protection.The GONR@BTA-MOFs/EP composite coating exhibits the highest corrosion potential of-0.188 V and the lowest corrosion current of 3.162×10−9A cm−2in the Tafel test.Tribological studies reveal a reduction in the friction coefficient from 0.62 to 0.08 after incorporating GONR@BTA-MOFs in the coating,with the wear volume being seven times lower than that of pure epoxy resin.The excellent lubrication effect of the nanomaterials reduces the coefficient of friction of the coating,thereby improving the abrasion resistance of the coating.The synergy between the self-lubrication of the two-dimensional layered fillers and the corrosion resistance of the smart inhibitor containers suggests a promising strategy for enhancing the performance of epoxy resins under complex working conditions.展开更多
Non-destructive time-series assessment of chlorophyll content in flag-leaf(FLC)accurately mimics the senescence rate and the identification of genetic loci associated with senescence provides valuable knowledge to imp...Non-destructive time-series assessment of chlorophyll content in flag-leaf(FLC)accurately mimics the senescence rate and the identification of genetic loci associated with senescence provides valuable knowledge to improve yield stability under stressed environments.In this study,we employed both unmanned aerial vehicles(UAVs)equipped with red–green–blue(RGB)camera and ground-based SPAD-502 instrument to conduct temporal phenotyping of senescence.A total of 262 recombinant inbred lines derived from the cross of Zhongmai 578/Jimai 22 were evaluated for senescence-related traits across three environments,spanning from heading to 35 d post-anthesis.The manual senescence rate(MSR)was quantified using the FLC and the active accumulated temperature,and UAV derived vegetation index were utilized to assess the stay-green rate(USG)facilitating the identification of senescent and stay-green lines.Results indicated that higher senescence rates significantly impacted grain yield,primarily by influencing thousand-kernel weight,and plant height.Quantitative trait loci(QTL)mapping for FLC,USG,and MSR using the 50K SNP array identified 38 stable loci associated with RGB-based vegetation indices and senescence-related traits:among which 19 loci related to senescence traits from UAV and FLC were consistently detected across at least two growth stages,with nine loci likely representing novel QTL.This study highlights the potential of UAV-based high-throughput phenotyping and phenology in identifying critical loci associated with senescence rates in wheat,validating the relationship between senescence rates and yield-related traits in wheat,offering valuable opportunities for gene discovery and significant applications in breeding programs.展开更多
基金supported by the National Natural Science Foundation of China(No.42405189)the Fundamental Research Funds for the Central Universities,Sun Yat-sen University(No.24qnpy011)the high-performance grid-computing platform of Sun Yat-sen University.
摘要Future ozone(O₃)pollution in China is shaped by complex interactions between emission reductions and meteorological changes under China’s carbon peaking and neutrality targets.This study employs the WRF-CMAQ modeling system with process analysis to quantify the impacts of meteorology and emissions on O₃and atmospheric oxidation capacity(AOC)across major Chinese regions in 2030.Under the carbon peaking scenario,wintertime O₃concentration increases across most regions,while summertime daytime O₃decreases except in the Yangtze River Delta(YRD).Nighttime O₃generally increases across all regions,and overall AOC is enhanced,particularly in summer.Disentangling the roles of meteorology and emissions shows that,although meteorological changes alone would reduce O₃in winter through enhanced dilution and limited photochemical activity,the effect of emission reductions dominates by weakening the nitric oxide(NO)titration effect,resulting in a net O₃increase.In summer,daytime emission reductions weaken NO titration,while higher humidity suppresses O₃formation,except in the YRD,where reduced humidity promotes O₃production.At night,stronger winds enhance vertical mixing and promote the downward transport of O₃from the residual layer,and the reduced NO titration effect further increases O₃levels.These findings underscore the importance of targeted mitigation strategies that account for the distinct seasonal and regional responses of O₃and AOC to both emission and meteorological changes under future climate and policy scenarios.
基金financially supported by the Natural Science Foundation of Hunan Province(Nos.2024JJ4022,2025JJ60382)the China Postdoctoral Fellowship Program(No.GZC20233205)+1 种基金the Scientific Research Fund of Hunan Provincial Education Department,China(No.24B0270)the National Natural Science Foundation of China(No.32201646).
摘要Transition metal sulfides(TMSs)are widely recognized as promising catalysts for the oxygen evolution reaction(OER),yet their large–scale application is hindered by poor conductivity,severe aggregation and sluggish reaction kinetics.To address these issues,a ternary CoS2/FeS2/Ti3C2Tx hybrid is rationally constructed via a three–in–one strategy,which simultaneously achieves the support introduction,morphology modulation and heterojunction construction.Structural characterizations reveal a hierarchical architecture composed of 1D CoS2 nanorods,0D FeS2 nanoparticles and 2D conductive Ti3C2Tx nanosheets,wherein CoS2 and FeS2 form a distinctive 1D/0D heterojunction.Density functional theory calculations demonstrate that strong electronic coupling at the CoS2/FeS2 heterointerface accelerates electron transfer and optimizes the adsorption behavior of oxygen intermediates.Benefiting from the synergistic effects between the CoS2/FeS2 heterojunction and the conductive Ti3C2Tx support,the as–prepared CoS2/FeS2/Ti3C2Tx hybrid exhibits elevated conductivity,promoted dispersibility and accelerated reaction kinetics,thus resulting in markedly improved OER performance as compared to the control samples.Additionally,the CoS2/FeS2/Ti3C2Tx hybrid presents a remarkably low overpotential of 284 mV when used as the anode catalyst in a water–splitting device,demonstrating its outstanding applicability for overall water electrolysis.Overall,this work provides a viable strategy for engineering high–performance TMS–based electrocatalysts through heterointerface design and conductive support integration.
基金Project supported by the National Natural Science Foundation of China(Nos.52405095,12272089,and 92360305)the Guangdong Basic and Applied Basic Research Foundation of China(No.2023A1515110557)+4 种基金the Natural Science Foundation of Liaoning Province of China(No.2023-BSBA-102)the Open Fund of National Key Laboratory of Particle Transport and Separation Technology of China(No.WZKF-2024-6)the Open Project of Guangxi Key Laboratory of Automobile Components and Vehicle Technology of China(Nos.2024GKLACVTKF07 and 2024GKLACVTKF06)the Basic Research Projects of Liaoning Provincial Department of Education of China(No.JYTQN2023162)the Fundamental Research Funds for the Central Universities of China(No.N2403022)。
摘要The testing of large structures is limited by high costs and long cycles, making scaling methods an attractive solution. However, the scaling process of elastic rings introduces complexities in multi-parameter geometric distortions, leading to a diminution in the predictive accuracy of the distorted similitude. To address this challenge, this study formulates a novel set of scaling laws, tailored to account for the intricate geometric distortions associated with elastic rings. The proposed scaling laws are formulated based on the intrinsic deformation characteristics of elastic rings, rather than the traditional systemic governing equations. Numerical and experimental cases are conducted to assess the efficacy and precision of the proposed scaling laws, and the obtained results are compared with those achieved by traditional methods. The outcomes demonstrate that the scaling laws put forth by this study significantly enhance the predictive capabilities for deformations of elastic rings.
基金the Scientific Research Foundation for High-level Talents of Anhui University of Science and Technology(2024yjrc73)R&D and industrialization of high-precision intelligent forging equipment for forming large-size light alloy components(202423i08050024)a large die forging press operation condition monitoring sensor and system application(2023YFB3210805)。
摘要Hydraulic presses are indispensable in automotive and aerospace manufacturing,with hydraulic cylinders serving as key components for operational safety and product quality.Internal leakage faults in hydraulic cylinders are difficult to diagnose due to the scarcity of labeled data,the complexity of fault mechanisms,and the limited representation capability of single-signal methods under variable operating conditions.To address these issues,a hybrid deep learning feature fusion model based on displacement error and pressure signal,including convolutional autoencoder,multi-head attention mechanism,residual network and bidirectional long short time series neural network(CAEMRAB),is proposed for the diagnosis and classification of leakage faults in hydraulic cylinders.A hydraulic cylinder test system simulates heavy load,variable speed,and nonlinear motion under actual operating conditions.Through the all-round deep feature decoupling of the proposed model,the multi-source signal representation ability in complex and multi-noise environments is enhanced,effectively extracting the local and global features of displacement error and pressure signal fault data and achieving efficient classification.Experimental results indicate that the proposed model achieves at least a 3.95%improvement in diagnostic accuracy compared with ablation models.In addition,it exhibits high diagnostic stability across other models,single-signal diagnosis,varying sample sizes,and complex noise conditions.These experiments fully validate the superior performance of the proposed method in terms of diagnostic accuracy,reliability,and robustness.
基金supported by the National Key Research and Development Program of China(2024YFA1108401)the National Nature Science Foundation of China(82372512,82372513,82072170,and 81930057)+4 种基金the Shanghai Top Priority Research Center Project(2023ZZ02013)the Basic Medical Research Project of Changhai Hospital(2023YQ02)the Changhong Talent Plan of Changhai Hospital,Deep Blue Talent Project of Naval Medical University,Clinical Medical Research of Changhai Hospital(2024LYC06)the CAMS Innovation Fund for Medical Sciences(2019-I2M-5-076)the Major/Key Logistics Research Projects(AHJ24J005 and JKBWS23C1018).
摘要Sepsis is a dysregulated host response to infection that frequently results in fatal multiple organ dysfunction.Despite advances in clinical identification and management,both its incidence and mortality have remained persistently high.Emerging evidence indicates that cell-free DNA(cfDNA),as a novel biomarker and molecular therapeutic target,holds promise for improving the clinical management of sepsis.cfDNA refers to DNA fragments present in body fluids,including naked DNA,membrane-coated DNA,nucleosomes,and neutrophil extracellular traps(NETs).cfDNA is released from host cells or pathogens into body fluids through pathways,such as NETosis,mitochondrial damage,cell necrosis,apoptosis,pyroptosis,and erythroblast enucleation.The released cfDNA triggers a strong inflammatory response by activating Toll-like receptor(TLR)9,the absent in melanoma 2(AIM2)inflammasome,and the cyclic GMP-AMP synthase(cGAS)-stimulator of interferon genes(STING)signaling pathway.At the same time,cfDNA activates the coagulation cascade and inhibits anticoagulant and fibrinolytic systems through multiple mechanisms,resulting in microcirculatory disorders.These pathological effects are closely associated with sepsis-related organ dysfunction and poor prognosis.Elucidation of the release and pathological mechanisms of cfDNA provides a foundation for the development of targeted treatment strategies.Currently,molecular therapeutic approaches targeting cfDNA,including peptidylarginine deiminase(PAD)4 inhibitors,pore-forming inhibitors,antioxidants,cfDNA scavengers,and deoxyribonucleases(DNases),have shown certain efficacy in treating sepsis and systemic inflammation.In terms of sepsis monitoring,compared with traditional markers,cfDNA exhibits extremely high timeliness and dynamic monitoring capability.cfDNA can simultaneously indicate the complex interplay among infection,host response,and organ damage,making it suitable for early diagnosis,prognosis assessment,treatment monitoring,organ function evaluation,and pathogen detection.Given its broad application prospects in the diagnosis and treatment of sepsis,this paper systematically elaborates on the mechanisms of cfDNA release and pathological effects in sepsis,reviews progress in cfDNA-targeted monitoring and therapeutic strategies,discusses technical challenges,and outlines potential future directions.
基金supported by the National Natural Science Foundation of China(Nos.81973195,82273804,22407144,and 82404454)the Science and Technology Program of Guangzhou,China(No.2024B03J1322)+2 种基金the Science and Technology Planning Project of Guangdong Province,China(No.2023A1111120025)the Postdoctoral Fellowship Program of CPSF(No.GZC20242113)the China Postdoctoral Science Foundation(No.2024M753800)。
摘要Molecular networking-guided chemical investigation of the Euphorbia endophyte Malbranchea umbrina D16 led to the isolation of 14 novel unusually cyclized triterpenoids(UCT)involving three different skeletal types.Compounds 1–10 are tricyclic triterpenoids featuring a 1-cyclohexyloctahydro-1H-indene core,in which 1 incoporates an unusual 7,7-dimethyl-6,8-dioxabicyclo[3.1.2]octane motif.Compounds 11–13represent a rare class of bicyclic triterpenes(6/5 ring system)containing various O-heterocycles at the side chain.Compound 14 is an acyclic triterpenoid with O-heterocycles at both ends.Their structures were assigned by spectroscopic,chemical,computational,and crystallographic means,which also allowed the stereochemical revisions of three previously reported analogues.Compound 1 significantly inhibited the adipogenesis in 3T3-L1 adipocytes via activating the AMP-activated protein kinase(AMPK)signalling.
基金supported by the National Natural Science Foundation of China(Nos.82273804,22407144,and 82404454)the Science and Technology Program of Guangzhou,China(No.2024B03J1322)+1 种基金the Science and Technology Planning Project of Guangdong Province,China(No.2023A1111120025)the Open Program of Shenzhen Bay Laboratory(No.SZBL2021080601007,China).
摘要Penispirolactam(1)and penipyrroloindole(2),two highly modified paspaline-type indole diterpenoids(IDTs),along with three new(3-5)and two known(6 and 7)paspaline-type IDTs were obtained from the endophytic fungus Penicillium janthinellum H-6 guided by liquid chromatography-mass spectrometry(LCMS)-based molecular network.Architecturally,penispirolactam(1)possesses a unique octacyclic skeleton(6/5/6/6/5/6/6/6)with a spiro core formed by the integration of a C6-C2 unit with the indole moiety,and penipyrroloindole(2)represents a rearranged octacyclic skeleton(6/5/6/5/5/6/6/6)with a pyrrolo[1,2-a]indole core fragment.Their structures,including absolute configurations,were established by detailed spectroscopic analysis,gauge-independent atomic orbital(GIAO)1D nuclear magnetic resonance(NMR)(DP4+)calculation protocol,and electronic circular dichroism(ECD)calculation method.The plausible biosynthetic pathway of compounds 1 and 2 was also speculated.Additionally,the anti-hepatic fibrosis activity of all compounds was explored,and it was found that 1 could exert its effects by inhibiting the transforming growth factor-β(TGF-β)/Smad signaling pathway without cytotoxicity.
基金supported by the National Natural Science Foundation of China(No.32370561 and No.32470521)the Anhui Provincial Natural Science Foundation(No.2408085QC099)+2 种基金the Standardized Demonstration Zone Construction Project for the Integration of Chinese Alligator Conservation and Ecological Agriculture(Project No.:Wan[2024]TG01)the Anhui Provincial Department of Education Excellent Young Teacher Training Projectthe 2024 High-end Talent Introduction and Education Action Project:Young Top-notch Talents and Young Scholars。
摘要The fine-scale habitat selection behavior of juvenile Chinese alligators(Alligator sinensis)is crucial to understand for ex situ environment design and in situ habitat restoration,yet how thermal requirements shape their microhabitat use remains unclear.To address this,we studied ten juveniles in a semi-natural artificial pond with four environmentally distinct quadrants during September 2025.Using 24-h video surveillance and systematic sampling,we analyzed their spatial use patterns,diel rhythms,and environmental drivers via temporal trend analysis and generalized linear mixed modeling(GLMM).Results indicated heterogeneous space use across quadrants and spatially distinct diel rhythms.Habitat selection was best explained by an interaction between solar exposure ratio and time of day.The GLMM revealed a significant interaction between solar exposure ratio and time period(P<0.05),with simple slope analysis showing that solar exposure ratio had a strong positive effect on habitat use in the afternoon and night but not the morning.Concealment area also had a consistent positive effect.These findings demonstrate that juvenile Chinese alligators employ a dynamic,thermalrequirement-driven spatiotemporal strategy.This behavioral plasticity is critical for maintaining physiological homeostasis,suggesting that access to thermally heterogeneous habitats may be an important consideration in conservation planning for this species.
基金supported by the National Science and Technology Major Project,China(No.2017-II-0006-0019)the National Natural Science Foundation of China(No.52375266)the Shaanxi Science Foundation for Distinguished Young Scholars,China(No.2022JC-36)。
摘要A Hybrid Free-Form Deformation(HFFD)method is developed to improve shape preservation in mesh deformation for perforated surfaces,which traditional Free-Form Deformation(FFD)techniques struggle to handle effectively.The proposed method enables high-fidelity parameterized deformation for both flat and curved perforated surfaces while maintaining mesh quality with minimal geometric distortion.To evaluate its effectiveness,comparative studies between HFFD and conventional FFD methods are conducted,demonstrating superior performance in mesh quality and geometric fidelity.The HFFD-based framework is further applied to the Multidisciplinary Design Optimization(MDO)of a double-wall turbine blade leading edge.Results indicate an 11.6%increase in cooling efficiency and a 16.21%reduction in maximum stress.Additionally,compared to traditional geometry-based parameterization in MDO,the HFFD approach improves model processing efficiency by 84.15%and overall optimization efficiency by20.05%.These findings demonstrate HFFD's potential to significantly improve complex engineering design optimization by achieving precise shape preservation and improving computational efficiency.
基金funded by the National Key Research and Development Program of China(Grant No.2019YFD1001900)the HZAU-AGIS Cooperation Fund(Grant No.SZYJY2022006).
摘要Nondestructive measurement technology of phenotype can provide substantial phenotypic data support for applications such as seedling breeding,management,and quality testing.The current method of measuring seedling phenotypes mainly relies on manual measurement which is inefficient,subjective and destroys samples.Therefore,the paper proposes a nondestructive measurement method for the canopy phenotype of the watermelon plug seedlings based on deep learning.The Azure Kinect was used to shoot canopy color images,depth images,and RGB-D images of the watermelon plug seedlings.The Mask-RCNN network was used to classify,segment,and count the canopy leaves of the watermelon plug seedlings.To reduce the error of leaf area measurement caused by mutual occlusion of leaves,the leaves were repaired by CycleGAN,and the depth images were restored by image processing.Then,the Delaunay triangulation was adopted to measure the leaf area in the leaf point cloud.The YOLOX target detection network was used to identify the growing point position of each seedling on the plug tray.Then the depth differences between the growing point and the upper surface of the plug tray were calculated to obtain plant height.The experiment results show that the nondestructive measurement algorithm proposed in this paper achieves good measurement performance for the watermelon plug seedlings from the 1 true-leaf to 3 true-leaf stages.The average relative error of measurement is 2.33%for the number of true leaves,4.59%for the number of cotyledons,8.37%for the leaf area,and 3.27%for the plant height.The experiment results demonstrate that the proposed algorithm in this paper provides an effective solution for the nondestructive measurement of the canopy phenotype of the plug seedlings.
基金supported by the National Natural Science Foundation of China(32430090 and 32293241)the Hainan Seed Industry Laboratory and the China National Seed Group(B23YQ1514/B23CQ15EP)the Science and Technology Development Project of Jilin Province,China(20240303006NC and 20240304122SF)。
摘要Plant–pathogen interactions are complex,multifaceted processes involving various participants,including insect vectors and parasitic plants,that play a crucial role in the spread of plant diseases.This review explores the intricate relationships between plants,pathogens,and insect vectors,emphasizing these interactions'ecological and epidemiological significance.Insect vectors,such as aphids,leafhoppers,whiteflies,and beetles,transmit various plant pathogens,including viruses,bacteria,fungi,and phytoplasmas,through different mechanisms.The transmission mode can be direct or indirect,continuous or discontinuous,depending on the biology of the pathogen and the insect vector.We differentiate between noncirculative and circulative pathogen transmission pathways and describe how pathogen movement within insect bodies influences their ability to spread diseases to new plant hosts.The impacts of these interactions extend beyond agricultural productivity to encompass significant economic losses,environmental challenges,and potential human health risks due to excessive use of chemical controls.Understanding these complex dynamics is essential for designing effective disease management strategies and developing environmentally sustainable control measures.This review synthesizes current knowledge on the transmission mechanisms,types of plant pathogens,and the consequences of insect-mediated disease spread,providing insights crucial for advancing plant protection and integrated pest management practices.
基金financially supported by the National Natural Science Foundation of China(Nos.52403285,21788102,52273221)National Key Laboratory of Electromagnetic Energy Foundation(No.614221722050501)+3 种基金Natural Science Foundation of Shandong Province(No.ZR2023JQ003)Beijing Natural Science Foundation(No.IS23045)Key Scientific and Technological Innovation Project of Shandong(No.2022CXGC020301)Key Program of the Department of Science and Technology of Hubei Province(No.2024BQB006).
摘要Solid-state electrolytes(SSEs)are key materials for next-generation high-energy batteries because of their enhanced chemical and mechanical stabilities.Poly(ethylene oxide)(PEO)-based solid polymer electrolytes(SPEs)exhibit great physical contact with electrodes,electrochemical compatibility with lithium(Li)metal anodes,as well as easy processibility and high economic efficiency,having become the pioneer and one frontrunner for developing all-solid-state high-energy batteries.However,PEO-based SPEs also suffer from a trade-off between ionic conductivity and mechanical strength,an insufficient cationic transference number,and a weak high-voltage stability,limiting their practical achievement in desirable power and energy density.Herein,we present a comprehensive overview on the intramolecular design strategies of PEO,which has the potential to fundamentally tackle above challenges compared to the intermolecular plasticizer or ceramic blending approaches.Topological and chemical designs for target mechano-electro-chemical performance are classified and summarized in detail.On this basis,a perspective on the unconquered issues and future directions is proposed,providing guidance for the design and application of high-performance SSEs for next-generation high-energy batteries,with special emphasis on the rational integration of intramolecular and intermolecular methods and the development of advanced manufacture techniques for flexible yet robust thin films.
基金Project supported by the National Natural Science Foundation of China(No.52278531)the Education Department of Shaanxi Provincial Government of China(No.24JR093)the Ningxia Natural Science Foundation of China(No.2024AAC04004)。
摘要The bending behavior of microbeams in micro-nano devices exhibits significant size effects,making accurate prediction of their mechanical behaviors crucial for device reliability.This paper employs the modified couple stress theory(MCST)and derives the governing equations for the Reddy beam theory(RBT)via the principle of virtual work.By considering the load equivalence,the analytical solutions for the bending problem are derived and expressed as the functional relations based on the Euler-Bernoulli beam model.Once the Euler-Bernoulli beam solution is obtained,the exact solution for the corresponding Reddy beam can be directly determined through these functional relations and boundary conditions.Analytical solutions for the doubly simply-supported(S-S),clamped-free(C-F),and clamped-clamped(C-C)boundary conditions are derived and validated through comparison with the results of previous studies.This study clarifies the analytical relationship between the two beam theories at the micro-scale,enabling exact mechanical solutions for higher-order shear deformation beams without solving complex higher-order governing equations.
摘要Background:Prognostic stratification of hepatocellular carcinoma(HCC)remains difficult because the disease is highly heterogeneous and complete matched multi-omics data are not always available in clinical cohorts.Objective:To develop a weakly supervised multi-omics framework that derives prognostic subtype labels from a public reference cohort and transfers them to cohorts with incomplete data.Methods:This study has analyzed 363 patients in TCGA-LIHC with matched mRNA,miRNA,DNA methylation,and clinical data.Overall-survival-related features were selected by univariate Cox regression,integrated by similarity network fusion(SNF),and clustered by spectral clustering to generate pseudo-labels.TCGA-LIHC was then split 6:4 into training and test sets for supervised modeling.External validation used LIRI-JP,GSE14520,GSE54236,and GSE31384,with models rebuilt on features shared with each cohort.Prognostic performance was evaluated by Kaplan-Meier analysis,log-rank testing,and the concordance index(C-index).Results:A total of 3,890 mRNA features,150 miRNA features,and 1,889 methylation features were retained.SNF plus spectral clustering identified two subtypes:S1(n=257)and S2(n=106).S2 had significantly worse overall survival than S1(log-rank P=3.891×10-9;C-index=0.866).In internal validation,XGBoost showed the highest AUC(0.983).In external validation,the predicted subtypes remained prognostically informative,with C-index values of 0.857 in LIRI-JP,0.875 in GSE14520,0.930 in GSE54236,and 0.883 in GSE31384.Conclusions:In the public datasets included in this study,this weakly supervised framework identified two prognostically distinct HCC subtypes and retained prognostic discrimination after transfer to external cohorts with incomplete data.
基金supported by the National Key R&D Program of China(No.2022YFB3804100)the National Natural Science Foundation of China(No.52231005)+1 种基金the Jiangsu Provincial Key R&D Program(No.BE2021088)the Start-up Research Fund of Southeast University(No.RF1028623113).
摘要Longitudinal magnetic field annealing is utilized for modifying the magnetic anisotropy and enhancing the magnetic softness of Fe75Co8(B10Si3C3P1)1-x/17Cux(x=0.5,0.75,1,1.25)nanocrystalline alloys.All of the magnetic field-annealed nanocrystalline alloys with Cu content more than 0.5 at.%exhibit significantly improved soft-magnetic properties,including high saturation magnetic flux density up to 1.87 T,effective permeability of 13,000-16,000 under the condition of 1 A/m and 1 kHz,coercivity as low as 1.6 A/m,and core loss of 0.11-0.45 W/kg under the condition of 1.0 T and 50 Hz.The application of a magnetic field promotes the nucleation and inhibits the growth of grains,leading to an increase in the number density of nanocrystals and the crystalline volume fraction,and a reduction in the grain size.The magnetic field annealing reduces the effective magneto-crystalline anisotropy energy to 2-4 J/m3,and induces longitudinal magnetic anisotropy with anisotropy energy density of 400-900 J/m3which shows dependence on the crystalline volume fraction.The field-induced magnetic anisotropy dominates over the random local magnetic anisotropies,and results in the formation of regular magnetic domains aligned longitudinally,pinning-free domain wall displacement,and thus enhanced soft-magnetic properties.
基金supported by the Natural Science Foundation of Shandong Province(nos.ZR2023MF047,ZR2024MA055 and ZR2023QF139)the Enterprise Commissioned Project(nos.2024HX104 and 2024HX140)+1 种基金the China University Industry-University-Research Innovation Foundation(nos.2021ZYA11003 and 2021ITA05032)the Science and Technology Plan for Youth Innovation of Shandong's Universities(no.2019KJN012).
摘要In low-light environments,captured images often exhibit issues such as insufficient clarity and detail loss,which significantly degrade the accuracy of subsequent target recognition tasks.To tackle these challenges,this study presents a novel low-light image enhancement algorithm that leverages virtual hazy image generation through dehazing models based on statistical analysis.The proposed algorithm initiates the enhancement process by transforming the low-light image into a virtual hazy image,followed by image segmentation using a quadtree method.To improve the accuracy and robustness of atmospheric light estimation,the algorithm incorporates a genetic algorithm to optimize the quadtree-based estimation of atmospheric light regions.Additionally,this method employs an adaptive window adjustment mechanism to derive the dark channel prior image,which is subsequently refined using morphological operations and guided filtering.The final enhanced image is reconstructed through the hazy image degradation model.Extensive experimental evaluations across multiple datasets verify the superiority of the designed framework,achieving a peak signal-to-noise ratio(PSNR)of 17.09 and a structural similarity index(SSIM)of 0.74.These results indicate that the proposed algorithm not only effectively enhances image contrast and brightness but also outperforms traditional methods in terms of subjective and objective evaluation metrics.
基金supported in part by grants from the National Natural Science Foundation of China(No.81673093,No.82170227,No.91649113,No.82470165,No.82000121,No.31771640)the Jiangsu Science and Technology Department(No.SBK20200191)+1 种基金the State Key Laboratory of Radiation Medicine and Protection of Soochow University(No.GZC00201)a project funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions.
摘要The crosstalk between megakaryocytic lineage cells and the skeletal system has just begun to be explored but remains largely elusive.Using conditional gene knockout mouse models,we demonstrated that loss of Beclin 1(Becn1),a major regulator of mammalian autophagy,exclusively in the megakaryocytic lineage disrupted autophagy in platelets but did not compromise megakaryopoiesis or the formation and function of platelets.Unexpectedly,conditional Becn1 deletion in male mice led to a remarkable increase in bone mass with improved bone quality,in association with a decrease in sex hormone binding globulin(SHBG)and an increase in free testosterone(FT).In vivo Becn1 overexpression in megakaryocytic lineage-specific cells reduced bone mass and quality,along with an increase in SHBG and a decrease in FT.Transplantation of wild-type bone marrow cells into megakaryocytic lineage Becn1-deficient male mice restored bone mass and normalized SHBG and FT.Furthermore,bilateral orchiectomy of Becn1f/f;Pf4-iCre mice,which are crippled with the production of testosterone,resulted in a reduction in bone mass and quality,whereas in vivo overexpression of SHBG,specifically in the liver of Becn1f/f;Pf4-iCre mice,decreased FT and reduced bone mass and quality.In addition,metformin treatment,which induces SHBG expression,reduced FT and normalized bone mass in Becn1f/f;Pf4-iCre mice.We thus concluded that Becn1 of the megakaryocytic lineage is dispensable locally for platelet hemostasis but limits bone mass by increasing SHBG,which in turn reduces the FT of male mice.Our findings highlight a mechanism by which Becn1 from megakaryocytic lineage cells distally balances bone growth.
基金Project supported by the National Natural Science Foundation of China(22106074)Tianjin Science and Technology Program(23YDTPJC00540,22YJDSS00060)。
摘要Ce-β-Bi2O3/AgI was prepared using solvothermal calcination and in-situ deposition methods.The introduction of Ce can inhibit the conversion of Bi2O3fromβtoαphase at high temperatures,promoting the formation of oxygen vacancies(OVs)in the photocatalyst.OVs can adsorb more dissolved oxygen to promote the formation rate of·O-2.Moreover,the interaction between Ce-Bi2O3and AgI results in the formation of Z-scheme heterojunctions,which can broaden the light absorption region,facilitate photogenerated carrier separation and transfer and enhance the ability to produce more active oxygen species(ROS).The morphology,crystal,element distribution and photo-electric chemical properties of the Ce-Bi2O3/AgI were analyzed,and the result shows that the optimal ratio of Ce-Bi2O3/AgI photocatalyst achieves a removal rate of 88.63%(180 min)of tetracycline(TC)(20 mg/L)and 100%(120 min)of methyl orange(MO)(20 mg/L).This work clarified the photocatalytic degradation mechanism,providing a promising avenue for developing photocatalytic composites by rare earth metal doping in environme ntal remediation applications.
基金supported by the National Natural Science Foundation of China(No.52475216)the Guangdong Basic and Applied Basic Research Foundation(No.2023A1515240030)+2 种基金the Natural Science Foundation of Shaanxi Province(No.2024RSCXTD-62)the Research Fund of the State Key Laboratory of Solidification Processing(NPU)(No.2022-QZ-04)We would like to thank the Analytical&Testing Center of Northwestern Polytechnical University and the Shaanxi Materials Analysis and Research Center.
摘要The synergy between corrosion protection and wear resistance is an effective strategy for the development of multifunctional coating to withstand complex working conditions.This study reports an epoxy resin coating filled with benzotriazole loaded metal-organic frameworks(BTA-MOFs)functionalized graphene oxide nanoribbons(GONR)that exhibit active anti-corrosion,act as a barrier to corrosive ion,and enhance wear resistance.The GONR@BTA-MOFs composite is synthesized through chemically etching multi-walled carbon nanotubes and subsequent electrostatic self-assembly corrosion inhibitors loaded MOFs onto the GONR.The composite demonstrates improved compatibility with epoxy resins compared to carbon nanotubes.The anti-corrosion performance of the composite coating is investigated using electrochemical impedance spectroscopy.After immersing in a 3.5 wt.%NaCl solution for 25 d,the alternating current impedance of the composite coating is three orders of magnitude higher than that of pure epoxy resin.Simultaneously,the controlled release of the corrosion inhibitor retards the deterioration of the coating after localized damage occurrence,which functions as active corrosion protection.The GONR@BTA-MOFs/EP composite coating exhibits the highest corrosion potential of-0.188 V and the lowest corrosion current of 3.162×10−9A cm−2in the Tafel test.Tribological studies reveal a reduction in the friction coefficient from 0.62 to 0.08 after incorporating GONR@BTA-MOFs in the coating,with the wear volume being seven times lower than that of pure epoxy resin.The excellent lubrication effect of the nanomaterials reduces the coefficient of friction of the coating,thereby improving the abrasion resistance of the coating.The synergy between the self-lubrication of the two-dimensional layered fillers and the corrosion resistance of the smart inhibitor containers suggests a promising strategy for enhancing the performance of epoxy resins under complex working conditions.
基金funded by the National Key Research and Development Program of China(2022ZD0115703)the National Natural Science Foundation of China(32372196)+1 种基金the Beijing Joint Research Program for Germplasm Innovation and New Variety Breeding(G20220628002)National Natural Science Foundation of China(32250410307)。
摘要Non-destructive time-series assessment of chlorophyll content in flag-leaf(FLC)accurately mimics the senescence rate and the identification of genetic loci associated with senescence provides valuable knowledge to improve yield stability under stressed environments.In this study,we employed both unmanned aerial vehicles(UAVs)equipped with red–green–blue(RGB)camera and ground-based SPAD-502 instrument to conduct temporal phenotyping of senescence.A total of 262 recombinant inbred lines derived from the cross of Zhongmai 578/Jimai 22 were evaluated for senescence-related traits across three environments,spanning from heading to 35 d post-anthesis.The manual senescence rate(MSR)was quantified using the FLC and the active accumulated temperature,and UAV derived vegetation index were utilized to assess the stay-green rate(USG)facilitating the identification of senescent and stay-green lines.Results indicated that higher senescence rates significantly impacted grain yield,primarily by influencing thousand-kernel weight,and plant height.Quantitative trait loci(QTL)mapping for FLC,USG,and MSR using the 50K SNP array identified 38 stable loci associated with RGB-based vegetation indices and senescence-related traits:among which 19 loci related to senescence traits from UAV and FLC were consistently detected across at least two growth stages,with nine loci likely representing novel QTL.This study highlights the potential of UAV-based high-throughput phenotyping and phenology in identifying critical loci associated with senescence rates in wheat,validating the relationship between senescence rates and yield-related traits in wheat,offering valuable opportunities for gene discovery and significant applications in breeding programs.