Background:Diabetic retinopathy(DR)is the most significant manifestation of dia-betic microangiopathy.The existing tree shrew model of DR has dysfunctional retinal short wave sensitivity(SWS)cones and retinal ganglion...Background:Diabetic retinopathy(DR)is the most significant manifestation of dia-betic microangiopathy.The existing tree shrew model of DR has dysfunctional retinal short wave sensitivity(SWS)cones and retinal ganglion cells,but it remains unclear whether the retinal microvessels are also compromised.In this study,we established a tree shrew diabetes model to investigate the characteristics of retinal microvascular disease observed in early human DR.Methods:A high-fat and high-sugar diet combined with streptozotocin was used to es-tablish the tree shrew diabetes model.After 20 weeks of sustained high glucose levels,we measured the thickness of each retinal layer and the number of ghost pericyte cells and acellular capillaries,and examined the ultrastructural changes in the retina.We also performed RNA sequencing(RNA-seq)and evaluated the protein expression levels of vascular endothelial growth factor(VEGF)and Bcl-2-related X protein(Bax).Results:The tree shrew model exhibited the characteristics of diabetes,including hy-perglycemia,hyperlipidemia,and insulin resistance.The retinal nerve fiber layer and ganglion cell layer exhibited significant thinning(36%and 30%,respectively).Retinal capillaries exhibited ghost pericytes and acellular capillaries,whereas the retinal ul-trastructure exhibited signs of damage.VEGF and Bax protein levels in the retina were significantly upregulated.RNA-seq revealed downregulation of phosphoserine aminotransferase 1(PSAT1).Overexpression of PSAT1 in retinal microvascular en-dothelial cells restored their lumen formation ability and mobility in a high-glucose environment,and reduced the expression of VEGF.Conclusion:Our results indicate that the tree shrew may be a suitable experimental animal model for studying the pathogenesis of early DR.Furthermore,PSAT1 may be a promising molecular target for DR treatment.展开更多
Accurate individual tree species classification is essential for forest inventory,management,and conservation.However,existing methods relying primarily on single-source remote sensing data(e.g.,spectral,LiDAR,or RGB)...Accurate individual tree species classification is essential for forest inventory,management,and conservation.However,existing methods relying primarily on single-source remote sensing data(e.g.,spectral,LiDAR,or RGB)often suffer from insufficient feature representation and noise interference,particularly in subtropical forests with high species diversity,leading to increased classification errors.To address these challenges,we proposed the Multi-source Tree Species Classification Fusion Network(MTSCFNet),a novel deep learning framework that integrates RGB imagery,LiDAR-derived feature maps,and GF-2 satellite data through a modified UNet backbone,which incorporates a three-branch encoder and a Triple Branch Feature Fusion(TBFF)module within a middle fusion strategy.We evaluated the MTSCFNet in Chinese-fir mixed forests located in the Shanxia Forest Farm,Jiangxi Province,China.The results showed that:(1)MTSCFNet outperformed four baseline models,achieving Macro F1(0.78±0.01),Micro F1(0.93±0.01),Weighted F1(0.93±0.01),a Matthews correlation coefficient(MCC)(0.89±0.01),Cohen’sĸ(0.89±0.01),and mIoU(0.69±0.01),with respective improvements of 4.05%in Macro F1,1.89%in Micro F1,0.09%in Weighted F1,1.67%in MCC,1.64%in Cohen’sĸ,and 5.92%in Mean IoU over the second best model,SwinUNet;(2)Compared to the best two-source combinations(R+S,R+L),MTSCFNet achieved up to 1.50%,3.28%,3.42%,6.72%,6.76%,and 3.51%higher Macro F1,Micro F1,Weighted F1,MCC,Cohen’sĸ,and mIoU,and up to 8.11%,2.63%,2.88%,5.01%,4.99%,and 11.48%improvements over single-source inputs,while also exhibiting the lowest variability,indicating strong robustness;(3)Under different fusion strategies,MTSCFNet with middle fusion surpassed early and late fusion by up to 15.31%,3.74%,3.99%,7.66%,7.76%,22.33%and 24.13%,5.76%,6.20%,11.48%,11.57%,32.96%in Macro F1,Micro F1,Weighted F1,MCC,Cohen’sĸ,and mIoU,respectively,validating the effectiveness of feature-level multi-modal integration;(4)In cross-region transfer experiments,MTSCFNet demonstrated strong spatial generalizability,achieving average scores of 0.78(Macro F1),0.87(Micro F1),0.86(Weighted F1),0.59(MCC),0.59(Cohen’sĸ),and 0.68(mIoU),and outperformed SwinUNet by up to 38.80%,9.40%,18.58%,22.48%,26.17%,and 33.00%in Macro F1,Micro F1,Weighted F1,MCC,Cohen’sĸ,and mIoU across varying forest densities.Overall,MTSCFNet offers a robust,accurate,and transferable solution for tree species classification in complex subtropical forest environments.展开更多
Relict trees are key to understanding macroevolution,biogeography,and extinction risk under environmental change,yet genome-wide data on diversity and demography remain scarce.Perkinsiodendron macgregorii,a monotypic ...Relict trees are key to understanding macroevolution,biogeography,and extinction risk under environmental change,yet genome-wide data on diversity and demography remain scarce.Perkinsiodendron macgregorii,a monotypic East Asian relict within Styracaceae,is of notable horticultural and conservation significance.Here,we assembled a chromosome-level genome(~1.15 Gb)and resequenced 167 individuals from 30 populations across its range.We performed a comparative analysis of single nucleotide polymorphisms(SNPs)and structural variants(SVs)to assess population structure,mutation load,climate-associated variation,and genomic vulnerability.Both SNP and SV datasets consistently resolved two evolutionarily cohesive lineages broadly separated by the Wuyi Mountains.Demographic reconstructions dated East–West divergence to~0.16 Ma and revealed a long-term decline in effective population size(Ne)since the Late Pleistocene,with lineage-specific fluctuations through the Quaternary.Genome-wide diversity was moderate overall,but the West lineage showed elevated inbreeding and realized genetic load.Relative to SNPs,SVs showed higher proportions of HIGH-impact mutations(i.e.,variants more likely to disrupt gene function),consistent with the larger genomic span of SVs and their greater potential deleterious effects.Functional enrichment of core adaptive variants(755 SNPs,63 SVs)revealed divergent adaptive signals across marker classes.Genomic offset and RONA projections were concordant and highlighted western Jiangxi and southwestern Hunan as future vulnerability hotspots,with risk increasing under higher-emissions scenarios.Together,these results support recognizing East and West lineages as primary conservation units and prioritizing at-risk West populations(JXJGS,HNSHS)for management,while safeguarding genetically distinctive populations(e.g.,JXGS,JXYJF)as secondary units to preserve evolutionary potential.展开更多
DELLA proteins exhibit multifaceted functions during plant growth and development and are closely associated with tree dwarfing.This review comprehensively examined the structural characteristics and functional divers...DELLA proteins exhibit multifaceted functions during plant growth and development and are closely associated with tree dwarfing.This review comprehensively examined the structural characteristics and functional diversity of DELLA proteins and analyzed their regulatory impacts across critical stages of plant ontogeny,including seed germination,aboveground growth,root growth,floral organ formation,and fruit development.Furthermore,we evaluated the molecular mechanisms of tree dwarfing,focusing on genetic determinants,dysregulation of hormonal signaling,and environmental induction.Despite remarkable research accomplishments,further investigations are required to clarify the precise molecular interactions with other signaling pathways,develop advanced detection techniques to monitor their dynamics,explore their roles in plant adaptation to climate change,and expand the applications of synthetic biology and genetic engineering,which are of great significance for understanding the regulation of plant growth and development and promoting relevant agricultural and forestry development.展开更多
Mitochondrial genomes(mitogenomes)play a crucial role in species adaptation to diverse evolutionary pressures.Although adaptive changes in mitochondrial genes have been reported under extreme conditions,large-scale an...Mitochondrial genomes(mitogenomes)play a crucial role in species adaptation to diverse evolutionary pressures.Although adaptive changes in mitochondrial genes have been reported under extreme conditions,large-scale analyses of mitogenomic evolution across ecologically diverse habitats are still limited.The Eurasian tree sparrow(Passer montanus),one of the most widely distributed avian species,occupies variable habitats,providing an ideal model for investigating mitochondrial responses to environmental heterogeneity.This study examined mitogenomic variation in tree sparrow populations sampled across China,revealing pronounced mitochondrial divergence in geographically isolated populations,particularly those in southern Xizang on the QinghaiXizang Plateau and the continental islands of Hainan and Taiwan.In the high-altitude population of southern Xizang,non-synonymous substitutions in COX2 and COX3 may enhance protein stability,potentially facilitating adaptation to cold and hypoxic conditions.In contrast,substitutions in ATP6(Hainan)and ND5(Taiwan)may reduce protein stability,implying distinct mitogenomic responses to local environmental constraints.Moreover,distinct t RNA mutations in the Hainan populations may confer increased structural flexibility,potentially contributing to islandspecific adaptation.These findings highlight the role of mitochondrial genomes in responding to ecological variation and geographic barriers,underscoring the prospective functional consequences of mitogenomic evolution.展开更多
Urban forests are highly multifunctional and provide numerous ecological functions.Plant functional traits individually or jointly influence the ecological multifunctionality of tree species(TS-EMF)and can also modify...Urban forests are highly multifunctional and provide numerous ecological functions.Plant functional traits individually or jointly influence the ecological multifunctionality of tree species(TS-EMF)and can also modify TSEMF in response to environmental changes.However,there has been limited exploration of multitrait combinations for predicting TS-EMF across seasons and of trait thresholds that enhance TS-EMF.Here,for 10 dominant tree species in urban forests of Northeast China,14 traits were measured and four aboveground and three belowground ecological functions assessed in three seasons.Ecological functions and TS-EMF differed significantly throughout the seasons(P<0.05).Synergistic relationships were found between carbon sequestration and oxygen release,between cooling and humidification,and between organic carbon accumulation and nutrient cycling.Notably,aboveground multifunctionality played a leading role in TS-EMF.With seasonal changes,resource allocation shifted toward traits related to resource acquisition rather than conservation to maintain TS-EMF.The combination of traits that predicted TS-EMF varied by type,accounting for up to 66.45%of the variation.TS-EMF was primarily driven by leaf structure in spring and by nutrient accumulation in autumn.Leaf carbon content(LCC)consistently served as a stabilizing factor for predicting TS-EMF across seasons.At 36.5-36.8 mg g-1,LCC had its optimal effect on TS-EMF.Other traits in combination that positively influence total TS-EMF include leaf nitrogen content(3.43-3.45 mg g-1),leaf phosphorus content(0.80-0.83 mg g-1),and leaf area(65.86-68.43 cm2).Within these specified trait thresholds,Morus alba and Quercus mongolica were identified as key species.These findings suggest that the trade-off between various ecological functions can be managed by altering plant traits across seasons.This approach could provide a theoretical foundation for enhancing the TS-EMF of urban forests through trait-based management,offering practical guidance for selecting tree species.展开更多
Mixed-effects models with species as a random effect have provided a practical solution to produce reliable predictions of tree growth.Applying them to new datasets can be challenging because species-specific adjust-m...Mixed-effects models with species as a random effect have provided a practical solution to produce reliable predictions of tree growth.Applying them to new datasets can be challenging because species-specific adjust-ments are not automatically available for“new”species(i.e.,species that are not“observed”in model training).In general,there are four strategies used for unobserved species when applying mixed models:(1)generating predictions using only the fixed-effects portion of the model,(2)computing species-specific adjustments post hoc when limited observations for the new species are available,(3)building two separate models with and without species as a random effect,and(4)combining data grouping with mixed modeling.To our knowledge,the relative efficacy of these strategies has not been explicitly examined for diverse,species-rich forests in the Caribbean.Long-term data collected by the US Department of Agriculture(USDA),Forest Service,Forest In-ventory and Analysis(FIA)program in Puerto Rico and the U.S.Virgin Islands over the past 20 years were used in this study.Results show that all strategies examined can be applied when predicting future diameters for new species.However,approaches that include adding species information tended to provide more precise predictions.Post-hoc calculation of species-specific adjustments is suggested as the predictions can be calibrated,but this strategy requires at least one repeated measurement for new species.Implementing a hybrid method of mixed modeling and data grouping can also integrate species-level information into prediction.This work provides an example of selecting the proper methodology to handle rare species to facilitate the continuous monitoring of diverse and vulnerable forest resources.展开更多
The Christmas tree tubing hanger serves as a channel for oil,gas,and electrical flow,supporting the tubing string and sealing the annular space.The sealing performance of the tubing hanger is important for ensuring th...The Christmas tree tubing hanger serves as a channel for oil,gas,and electrical flow,supporting the tubing string and sealing the annular space.The sealing performance of the tubing hanger is important for ensuring the safe operation of the subsea Christmas tree.The effect of precompression load on the performance of the K-type metal seal was simulated and analyzed through two-dimensional and three-dimensional contact models,and the impact of oil and gas operating pressures,temperatures,and the elastic modulus on the sealing performance of the K-type metal seal was investigated.According to the results,the maximum error between the theoretical calculation and the finite element method for the contact stress on the exterior of the K-type metal seal was 4.72%.The contact stress of the sealing ring increased at higher precompression and internal pressure.Temperature had a minimal impact on the sealing performance of the seal,while reducing the elastic modulus of the sealing ring decreased its equivalent stress.Finally,static pressure and pressure cycling tests were conducted in compliance with the API 6A standard.The tests confirmed that the maximum sealing pressure of the K-type metal seal satisfied the requirement of a 1.5-fold working pressure and validated that the seal exhibited good sealing performance in oil and gas pressure-temperature cycling conditions.The K-type metal seal was self-tightening,where the pressure enhanced the sealing effect,Hertz contact theory can be used for preliminary parameter design in the early stage,and the sealing performance can be further verified through elastic-plastic finite element method and experiments.展开更多
Herpes simplex virus type 1(HSV-1)infects over 70%of the population and establishes lifelong latent infection with periodic reactivation in humans,resulting in various related diseases.However,the molecular and cellul...Herpes simplex virus type 1(HSV-1)infects over 70%of the population and establishes lifelong latent infection with periodic reactivation in humans,resulting in various related diseases.However,the molecular and cellular events underlying the transition of HSV-1 from latency to reactivation remain poorly understood.In this study,we used bulk RNA sequencing and single-cell transcriptomic analyses to dissect the cellular and molecular events of HSV-1 latency-reactivation transition in infected trigeminal ganglia(TG)in both mouse and tree shrew infection models.We found that mice exhibited fluctuating host gene responses during the acute phase and relatively quiescent latency,whereas tree shrews displayed a relatively mild acute phase and active latency characteristics.Single-cell analysis revealed that HSV-1 infects TG neuronal subpopulations expressing growth hormone and pituitary hormones.Importantly,we observed that HSV-1 latency in tree shrew TGs exhibited inhibition of cellular autophagy function,while HSV-1 latency in mice was accompanied by the attenuation of monocyte-related immune surveillance.Given that infected cell protein 0(ICP0)has autophagy inhibitory activity,we further investigated the role of this viral protein in tree shrew models using an ICP0-deficient HSV-1 strain.Notably,the mutant virus could not undergo spontaneous reactivation from latency.These findings support the hypothesis that ICP0 may be essential for spontaneous reactivation by inhibiting autophagy in vivo.展开更多
Open-central canopy(OCC)has become the popular tree shape for arboreal apple orchards in full fruit period in the Loess Plateau of China.This study aimed to elucidate the physiological regulation mechanisms related to...Open-central canopy(OCC)has become the popular tree shape for arboreal apple orchards in full fruit period in the Loess Plateau of China.This study aimed to elucidate the physiological regulation mechanisms related to planting density optimization,photosynthetic performance enhancement,and fruit quality improvement in dense-canopy OCC apple orchards in the Loess Plateau of China through tree thinning practices at different intensities.This study used three planting densities of OCC apple trees as experimental materials.These include no thinning[NT,3 m(plant)×4 m(row)],low-intensity thinning[LT,i.e.,first thinning based on NT:4 m(plant)×6 m(row)],and high-intensity thinning[HT,i.e.,second thinning based on LT:6 m(plant)×8 m(row)].In three successive experimental years,changes in spatiotemporal variations of photosynthetically active radiation(PAR)intercepted by canopy,leaf gas exchange,gross photosynthetic rate(Pg),photorespiration rate(Pr),nonphotochemical quenching(NPQ)dark relaxation curves,antioxidant enzyme activity[ascorbate peroxidase,catalase and superoxide dismutase(SOD)],and fruit quality were carefully measured and compared.Results showed that compared with NT,LT increased PAR by 36%,maximum net photosynthetic rate under light saturation(Pnmax,P)by 30%,carboxylation efficiency(CE)by 37%,fruit soluble solid content(SSC)by 4%,and peel anthocyanin content(AC)by 20%.Moreover,LT enhanced the photoprotective capacity through elevated ratio of Pr to Pg under PAR of 2000μmol∙m-2∙s-1(52%),the reversible component in NPQ[r(qE),9%],and antioxidant enzymes(SOD 10%).Compared with NT,HT enhanced PAR by 71%,Pnmax,P by 67%,CE by 65%,SSC by 9%,and AC by 37%and boosted photoprotection through increased Pr/Pg(116%),r(qE)(11%),and SOD activity(29%).The Pearson Correlation Coefficients between PAR and the fruit quality indices(including single fruit weight,SSC,and AC)were 0.89,0.73,and 0.96,respectively.Single fruit weight and SSC were significantly and positively correlated with photosynthetic parameters(such as Pnmax,P and CE).In summary,after tree thinning,the light environment in the OCC of apple trees was remarkably improved,and the leaf photosynthetic and photoprotective capacities were enhanced,thus significantly boosting fruit qualities.In terms of the dose responses,high-intensity thinning demonstrated the most significant enhanced effects.展开更多
This paper investigates the reliability of internal marine combustion engines using an integrated approach that combines Fault Tree Analysis(FTA)and Bayesian Networks(BN).FTA provides a structured,top-down method for ...This paper investigates the reliability of internal marine combustion engines using an integrated approach that combines Fault Tree Analysis(FTA)and Bayesian Networks(BN).FTA provides a structured,top-down method for identifying critical failure modes and their root causes,while BN introduces flexibility in probabilistic reasoning,enabling dynamic updates based on new evidence.This dual methodology overcomes the limitations of static FTA models,offering a comprehensive framework for system reliability analysis.Critical failures,including External Leakage(ELU),Failure to Start(FTS),and Overheating(OHE),were identified as key risks.By incorporating redundancy into high-risk components such as pumps and batteries,the likelihood of these failures was significantly reduced.For instance,redundant pumps reduced the probability of ELU by 31.88%,while additional batteries decreased the occurrence of FTS by 36.45%.The results underscore the practical benefits of combining FTA and BN for enhancing system reliability,particularly in maritime applications where operational safety and efficiency are critical.This research provides valuable insights for maintenance planning and highlights the importance of redundancy in critical systems,especially as the industry transitions toward more autonomous vessels.展开更多
Cunninghamia lanceolata(Lamb.)Hook,a key species for forest plantations in subtropical China,is experiencing a critical decline in productivity due to management practices like long-term successive rotation.Within the...Cunninghamia lanceolata(Lamb.)Hook,a key species for forest plantations in subtropical China,is experiencing a critical decline in productivity due to management practices like long-term successive rotation.Within the C.lanceolata ecosystems,the vigour of the dominant trees reflects their growth potential under the prevailing site conditions.This is crucial for informing management strategies aimed at optimizing plantation productivity.This study focuses on dominant individuals of C.lanceolata,employing their basal area increment in the final year as a quantitative indicator of stand vigour.A dual-dimensional evaluation framework integrating crown structure and tree rings was developed to investigate the underlying mechanisms by which crown structural parameters,stand density and tree age influence stand vigour.This was based on stem analysis data from 76 dominant trees sampled across six southern Chinese provinces.Tree ring data were combined with crown structural parameters including length,width,ratio,volume,shape ratio,and crown projection ratio.A multi-method analytical framework incorporating correlation analysis,difference testing,subgroup analysis,and linear threshold regression modeling was employed to systematically examine these interactions.The results demonstrated that:(1)crown length exhibited a significant positive correlation with basal area increment,while crown shape and projection ratios had significant negative effects.(2)Middle-aged stands(11–20 years)and low-density stands(≤1000 ind.ha-1)exhibited the highest vigour,with significantly greater basal area increment compared to other age classes and density gradients.(3)Linear threshold regression analysis identified a critical threshold for the clear bole ratio at approximately 0.5.Staying below this value optimizes crown morphology and boosts vigour.Therefore,silvicultural management of C.lanceolata plantations should prioritize density regulation to alleviate inter-tree competition,complemented by precision pruning during the critical 11−20-year phase.Strategic control of the clear bole ratio is recommended to enhance stand vigour.展开更多
Underwater images frequently suffer from chromatic distortion,blurred details,and low contrast,posing significant challenges for enhancement.This paper introduces AquaTree,a novel underwater image enhancement(UIE)meth...Underwater images frequently suffer from chromatic distortion,blurred details,and low contrast,posing significant challenges for enhancement.This paper introduces AquaTree,a novel underwater image enhancement(UIE)method that reformulates the task as a Markov Decision Process(MDP)through the integration of Monte Carlo Tree Search(MCTS)and deep reinforcement learning(DRL).The framework employs an action space of 25 enhancement operators,strategically grouped for basic attribute adjustment,color component balance,correction,and deblurring.Exploration within MCTS is guided by a dual-branch convolutional network,enabling intelligent sequential operator selection.Our core contributions include:(1)a multimodal state representation combining CIELab color histograms with deep perceptual features,(2)a dual-objective reward mechanism optimizing chromatic fidelity and perceptual consistency,and(3)an alternating training strategy co-optimizing enhancement sequences and network parameters.We further propose two inference schemes:an MCTS-based approach prioritizing accuracy at higher computational cost,and an efficient network policy enabling real-time processing with minimal quality loss.Comprehensive evaluations on the UIEB Dataset and Color correction and haze removal comparisons on the U45 Dataset demonstrate AquaTree’s superiority,significantly outperforming nine state-of-the-art methods across five established underwater image quality metrics.展开更多
This study investigated biomass allocation in young stands of European beech(Fagus sylvatica L.)and Norway spruce(Picea abies(L.)Karst.)across 31 forest sites in the Western Carpathians,Slovakia.A total of 541 trees a...This study investigated biomass allocation in young stands of European beech(Fagus sylvatica L.)and Norway spruce(Picea abies(L.)Karst.)across 31 forest sites in the Western Carpathians,Slovakia.A total of 541 trees aged 2–10 years,originating from natural regeneration and planting,were destructively sampled to quantify biomass in four components:foliage,branches,stems,and roots.Generalized non-linear least squares(GNLS)models with a weighing variance function outperformed log-transformed seemingly unrelated regression(SUR)models in terms of accuracy and robustness,especially for foliage and branch biomass.When using height as the predictor,SUR models tended to underestimate biomass in planted beech,leading to notable underprediction of aboveground and total biomass.Biomass allocation patterns varied significantly by species and regeneration origin.Using a non-linear system of equations and component ratio modelling,we found out that planted spruce displayed low variability and a consistent dominance of needle biomass,while naturally regenerated beech showed greater variability and a higher proportion of stem biomass,reflecting stronger competition-driven vertical growth.Interspecific differences in total biomass were more pronounced when using tree height,with spruce generally exhibiting greater biomass than beech at equivalent heights.Overall,stem base diameter marginally outperformed tree height as a predictor of biomass.However,tree height-based models showed strong performance and are particularly suitable for integration with remote sensing applications.These findings can directly support forest managers and modellers in comparing regeneration methods and biomass estimation approaches for early-stage stand development,carbon accounting,and remote sensing calibration.展开更多
Background 3D botanical tree reconstruction from a single image plays a vital role in the field of computer graphics.However,accurately capturing the intricate branching patterns and detailed morphologies of trees rem...Background 3D botanical tree reconstruction from a single image plays a vital role in the field of computer graphics.However,accurately capturing the intricate branching patterns and detailed morphologies of trees remains a challenge.Methods In this study,we proposed a novel approach for single-image tree reconstruction using a conditional generative adversarial network to infer the 3D skeleton of a tree in the form of a 2D skeleton depth map.Based on the 2D skeleton depth map,a corresponding branching structure(3D skeleton)that inherits the tree shape in the input image and leaves can be generated using a procedural modeling technique.Result Experimental results show that the proposed method accurately reconstructs diverse tree structures across species.Both quantitative and qualitative evaluations demonstrate improved skeleton completeness,branching accuracy,and visual realism over baseline methods,while requiring no user input.Conclusions Our proposed approach for generating lifelike 3D tree models from a single image with no user input shows its proficiency in achieving efficient and reliable reconstruction.These results showcase the capability of the proposed model to recreate complex tree architectures while capturing their visual authenticity.展开更多
SEP3,one of the SEPALLATA(SEP)genes,plays a crucial role in the regulation of floral organ morphogenesis in plants.However,its specific function and molecular regulatory mechanisms remain largely unclear in tree peony...SEP3,one of the SEPALLATA(SEP)genes,plays a crucial role in the regulation of floral organ morphogenesis in plants.However,its specific function and molecular regulatory mechanisms remain largely unclear in tree peony(Paeonia suffruticosa Andr.).In this study,the PsSEP3L1 sequence of the tree peony cultivar‘Luoyang Hong’was obtained by homologous cloning.The open reading frame of PsSEP3L1 is 738 bp and encodes 245 amino acids.Phylogenetic analysis indicated that PsSEP3L1 was most closely related to the SEP3 homolog from cassava.The expression level of PsSEP3L1 in petals,petaloid petals,and stamens was significantly higher than that in sepals.Specifically,in the petaloid petals of the tree peony cultivar‘Luoyang Hong’,the expression level was 23.73-fold higher than that in sepals.Functional assays demonstrated that overexpression of PsSEP3L1 significantly increased petal number in tree peony,whereas silencing of this gene resulted in a significant reduction in petal number,confirming its positive regulatory role in petal number determination.The Yeast two-hybrid and Bimolecular fluorescence complementation assays revealed that PsSEP3L1 protein interacts with MADS-box family proteins,including PsSEP1L,PsAP3,and PsAG.Collectively,PsSEP3L1 may participate in regulating petal number in tree peony by forming protein complexes with other MADS-box proteins,thereby contributing to floral organ morphogenesis.This study provides a basis for further mechanistic studies on floral organ morphogenesis in tree peony.展开更多
基金National Key R&D Program of China,Grant/Award Number:2021YFF0702404Yunnan Key Laboratory of Ophthalmic Research and Disease Control,Grant/Award Number:2017DG008+1 种基金Science and Technology Talents and Platform Program for the Cultivation of Talents in Technological Innovation,Grant/Award Number:202305AD160008National Natural Science Foundation of China,Grant/Award Number:82201475。
摘要Background:Diabetic retinopathy(DR)is the most significant manifestation of dia-betic microangiopathy.The existing tree shrew model of DR has dysfunctional retinal short wave sensitivity(SWS)cones and retinal ganglion cells,but it remains unclear whether the retinal microvessels are also compromised.In this study,we established a tree shrew diabetes model to investigate the characteristics of retinal microvascular disease observed in early human DR.Methods:A high-fat and high-sugar diet combined with streptozotocin was used to es-tablish the tree shrew diabetes model.After 20 weeks of sustained high glucose levels,we measured the thickness of each retinal layer and the number of ghost pericyte cells and acellular capillaries,and examined the ultrastructural changes in the retina.We also performed RNA sequencing(RNA-seq)and evaluated the protein expression levels of vascular endothelial growth factor(VEGF)and Bcl-2-related X protein(Bax).Results:The tree shrew model exhibited the characteristics of diabetes,including hy-perglycemia,hyperlipidemia,and insulin resistance.The retinal nerve fiber layer and ganglion cell layer exhibited significant thinning(36%and 30%,respectively).Retinal capillaries exhibited ghost pericytes and acellular capillaries,whereas the retinal ul-trastructure exhibited signs of damage.VEGF and Bax protein levels in the retina were significantly upregulated.RNA-seq revealed downregulation of phosphoserine aminotransferase 1(PSAT1).Overexpression of PSAT1 in retinal microvascular en-dothelial cells restored their lumen formation ability and mobility in a high-glucose environment,and reduced the expression of VEGF.Conclusion:Our results indicate that the tree shrew may be a suitable experimental animal model for studying the pathogenesis of early DR.Furthermore,PSAT1 may be a promising molecular target for DR treatment.
基金funded by Fundamental Research Funds of CAF(CAFYBB2023PA003)The National Key Research and Development Program of China(2023ZD0406100-03).
摘要Accurate individual tree species classification is essential for forest inventory,management,and conservation.However,existing methods relying primarily on single-source remote sensing data(e.g.,spectral,LiDAR,or RGB)often suffer from insufficient feature representation and noise interference,particularly in subtropical forests with high species diversity,leading to increased classification errors.To address these challenges,we proposed the Multi-source Tree Species Classification Fusion Network(MTSCFNet),a novel deep learning framework that integrates RGB imagery,LiDAR-derived feature maps,and GF-2 satellite data through a modified UNet backbone,which incorporates a three-branch encoder and a Triple Branch Feature Fusion(TBFF)module within a middle fusion strategy.We evaluated the MTSCFNet in Chinese-fir mixed forests located in the Shanxia Forest Farm,Jiangxi Province,China.The results showed that:(1)MTSCFNet outperformed four baseline models,achieving Macro F1(0.78±0.01),Micro F1(0.93±0.01),Weighted F1(0.93±0.01),a Matthews correlation coefficient(MCC)(0.89±0.01),Cohen’sĸ(0.89±0.01),and mIoU(0.69±0.01),with respective improvements of 4.05%in Macro F1,1.89%in Micro F1,0.09%in Weighted F1,1.67%in MCC,1.64%in Cohen’sĸ,and 5.92%in Mean IoU over the second best model,SwinUNet;(2)Compared to the best two-source combinations(R+S,R+L),MTSCFNet achieved up to 1.50%,3.28%,3.42%,6.72%,6.76%,and 3.51%higher Macro F1,Micro F1,Weighted F1,MCC,Cohen’sĸ,and mIoU,and up to 8.11%,2.63%,2.88%,5.01%,4.99%,and 11.48%improvements over single-source inputs,while also exhibiting the lowest variability,indicating strong robustness;(3)Under different fusion strategies,MTSCFNet with middle fusion surpassed early and late fusion by up to 15.31%,3.74%,3.99%,7.66%,7.76%,22.33%and 24.13%,5.76%,6.20%,11.48%,11.57%,32.96%in Macro F1,Micro F1,Weighted F1,MCC,Cohen’sĸ,and mIoU,respectively,validating the effectiveness of feature-level multi-modal integration;(4)In cross-region transfer experiments,MTSCFNet demonstrated strong spatial generalizability,achieving average scores of 0.78(Macro F1),0.87(Micro F1),0.86(Weighted F1),0.59(MCC),0.59(Cohen’sĸ),and 0.68(mIoU),and outperformed SwinUNet by up to 38.80%,9.40%,18.58%,22.48%,26.17%,and 33.00%in Macro F1,Micro F1,Weighted F1,MCC,Cohen’sĸ,and mIoU across varying forest densities.Overall,MTSCFNet offers a robust,accurate,and transferable solution for tree species classification in complex subtropical forest environments.
基金supported by the Guangdong S&T Program(2022B1111230001)and National Key R&D Program of China(2024YFF1307400).
摘要Relict trees are key to understanding macroevolution,biogeography,and extinction risk under environmental change,yet genome-wide data on diversity and demography remain scarce.Perkinsiodendron macgregorii,a monotypic East Asian relict within Styracaceae,is of notable horticultural and conservation significance.Here,we assembled a chromosome-level genome(~1.15 Gb)and resequenced 167 individuals from 30 populations across its range.We performed a comparative analysis of single nucleotide polymorphisms(SNPs)and structural variants(SVs)to assess population structure,mutation load,climate-associated variation,and genomic vulnerability.Both SNP and SV datasets consistently resolved two evolutionarily cohesive lineages broadly separated by the Wuyi Mountains.Demographic reconstructions dated East–West divergence to~0.16 Ma and revealed a long-term decline in effective population size(Ne)since the Late Pleistocene,with lineage-specific fluctuations through the Quaternary.Genome-wide diversity was moderate overall,but the West lineage showed elevated inbreeding and realized genetic load.Relative to SNPs,SVs showed higher proportions of HIGH-impact mutations(i.e.,variants more likely to disrupt gene function),consistent with the larger genomic span of SVs and their greater potential deleterious effects.Functional enrichment of core adaptive variants(755 SNPs,63 SVs)revealed divergent adaptive signals across marker classes.Genomic offset and RONA projections were concordant and highlighted western Jiangxi and southwestern Hunan as future vulnerability hotspots,with risk increasing under higher-emissions scenarios.Together,these results support recognizing East and West lineages as primary conservation units and prioritizing at-risk West populations(JXJGS,HNSHS)for management,while safeguarding genetically distinctive populations(e.g.,JXGS,JXYJF)as secondary units to preserve evolutionary potential.
基金supported by the Gansu Agricultural University Public Recruitment Doctoral Research Project(Grant No.GAU-KYQD-2020-28)the Gansu Provincial Key Research and Development Program(Grant No.25YFNA037)+1 种基金the Natural Science Foundation of Gansu Province(Grant No.24JRRA646)the Major Science and Technology Projects of Gansu Province(Grant No.22ZD6NA045).
摘要DELLA proteins exhibit multifaceted functions during plant growth and development and are closely associated with tree dwarfing.This review comprehensively examined the structural characteristics and functional diversity of DELLA proteins and analyzed their regulatory impacts across critical stages of plant ontogeny,including seed germination,aboveground growth,root growth,floral organ formation,and fruit development.Furthermore,we evaluated the molecular mechanisms of tree dwarfing,focusing on genetic determinants,dysregulation of hormonal signaling,and environmental induction.Despite remarkable research accomplishments,further investigations are required to clarify the precise molecular interactions with other signaling pathways,develop advanced detection techniques to monitor their dynamics,explore their roles in plant adaptation to climate change,and expand the applications of synthetic biology and genetic engineering,which are of great significance for understanding the regulation of plant growth and development and promoting relevant agricultural and forestry development.
基金supported by the National Natural Science Foundation of China(32160114 and 32460125 to B.L.,32170460 and32570495 to N.W.,32125005 to X.J.Z.)State Key Laboratory of Reproductive Regulation&Breeding of Grassland Livestock(2025KYPT0081)+3 种基金Young Science and Technology Talents Program for Universities in Inner Mongolia(NJYT23087)to B.L.Outstanding Young Scientist Project of Natural Science Foundation of Inner Mongolia Autonomous Region of China(2022JQ07)Cultivation Project of Inner Mongolia University(21221505)to N.W.Talent Research Startup Foundation of Hainan Normal University(HSZK-KYQD-202606)to L.W.W。
摘要Mitochondrial genomes(mitogenomes)play a crucial role in species adaptation to diverse evolutionary pressures.Although adaptive changes in mitochondrial genes have been reported under extreme conditions,large-scale analyses of mitogenomic evolution across ecologically diverse habitats are still limited.The Eurasian tree sparrow(Passer montanus),one of the most widely distributed avian species,occupies variable habitats,providing an ideal model for investigating mitochondrial responses to environmental heterogeneity.This study examined mitogenomic variation in tree sparrow populations sampled across China,revealing pronounced mitochondrial divergence in geographically isolated populations,particularly those in southern Xizang on the QinghaiXizang Plateau and the continental islands of Hainan and Taiwan.In the high-altitude population of southern Xizang,non-synonymous substitutions in COX2 and COX3 may enhance protein stability,potentially facilitating adaptation to cold and hypoxic conditions.In contrast,substitutions in ATP6(Hainan)and ND5(Taiwan)may reduce protein stability,implying distinct mitogenomic responses to local environmental constraints.Moreover,distinct t RNA mutations in the Hainan populations may confer increased structural flexibility,potentially contributing to islandspecific adaptation.These findings highlight the role of mitochondrial genomes in responding to ecological variation and geographic barriers,underscoring the prospective functional consequences of mitogenomic evolution.
基金supported by the National Natural Science Foundation(32130068,32271634,and 32071597)CAS Key Laboratory of Forest Ecology and Silviculture,Institute of Applied Ecology,Chinese Academy of Sciences(KLFES-2025)。
摘要Urban forests are highly multifunctional and provide numerous ecological functions.Plant functional traits individually or jointly influence the ecological multifunctionality of tree species(TS-EMF)and can also modify TSEMF in response to environmental changes.However,there has been limited exploration of multitrait combinations for predicting TS-EMF across seasons and of trait thresholds that enhance TS-EMF.Here,for 10 dominant tree species in urban forests of Northeast China,14 traits were measured and four aboveground and three belowground ecological functions assessed in three seasons.Ecological functions and TS-EMF differed significantly throughout the seasons(P<0.05).Synergistic relationships were found between carbon sequestration and oxygen release,between cooling and humidification,and between organic carbon accumulation and nutrient cycling.Notably,aboveground multifunctionality played a leading role in TS-EMF.With seasonal changes,resource allocation shifted toward traits related to resource acquisition rather than conservation to maintain TS-EMF.The combination of traits that predicted TS-EMF varied by type,accounting for up to 66.45%of the variation.TS-EMF was primarily driven by leaf structure in spring and by nutrient accumulation in autumn.Leaf carbon content(LCC)consistently served as a stabilizing factor for predicting TS-EMF across seasons.At 36.5-36.8 mg g-1,LCC had its optimal effect on TS-EMF.Other traits in combination that positively influence total TS-EMF include leaf nitrogen content(3.43-3.45 mg g-1),leaf phosphorus content(0.80-0.83 mg g-1),and leaf area(65.86-68.43 cm2).Within these specified trait thresholds,Morus alba and Quercus mongolica were identified as key species.These findings suggest that the trade-off between various ecological functions can be managed by altering plant traits across seasons.This approach could provide a theoretical foundation for enhancing the TS-EMF of urban forests through trait-based management,offering practical guidance for selecting tree species.
基金Support from the USDA Forest Service(project#24-JV-11330145-057)is greatly appreciated.
摘要Mixed-effects models with species as a random effect have provided a practical solution to produce reliable predictions of tree growth.Applying them to new datasets can be challenging because species-specific adjust-ments are not automatically available for“new”species(i.e.,species that are not“observed”in model training).In general,there are four strategies used for unobserved species when applying mixed models:(1)generating predictions using only the fixed-effects portion of the model,(2)computing species-specific adjustments post hoc when limited observations for the new species are available,(3)building two separate models with and without species as a random effect,and(4)combining data grouping with mixed modeling.To our knowledge,the relative efficacy of these strategies has not been explicitly examined for diverse,species-rich forests in the Caribbean.Long-term data collected by the US Department of Agriculture(USDA),Forest Service,Forest In-ventory and Analysis(FIA)program in Puerto Rico and the U.S.Virgin Islands over the past 20 years were used in this study.Results show that all strategies examined can be applied when predicting future diameters for new species.However,approaches that include adding species information tended to provide more precise predictions.Post-hoc calculation of species-specific adjustments is suggested as the predictions can be calibrated,but this strategy requires at least one repeated measurement for new species.Implementing a hybrid method of mixed modeling and data grouping can also integrate species-level information into prediction.This work provides an example of selecting the proper methodology to handle rare species to facilitate the continuous monitoring of diverse and vulnerable forest resources.
基金financially supported by the National Natural Science Foundation of China(No.52301377,No.52374022)China Postdoctoral Science Foundation(No.2024M753616)+1 种基金Science Foundation of China University of Petroleum,Beijing(No.2462025XKBH002)Research on the Development of 1500 m Subsea Christmas Trees and Control Systems.
摘要The Christmas tree tubing hanger serves as a channel for oil,gas,and electrical flow,supporting the tubing string and sealing the annular space.The sealing performance of the tubing hanger is important for ensuring the safe operation of the subsea Christmas tree.The effect of precompression load on the performance of the K-type metal seal was simulated and analyzed through two-dimensional and three-dimensional contact models,and the impact of oil and gas operating pressures,temperatures,and the elastic modulus on the sealing performance of the K-type metal seal was investigated.According to the results,the maximum error between the theoretical calculation and the finite element method for the contact stress on the exterior of the K-type metal seal was 4.72%.The contact stress of the sealing ring increased at higher precompression and internal pressure.Temperature had a minimal impact on the sealing performance of the seal,while reducing the elastic modulus of the sealing ring decreased its equivalent stress.Finally,static pressure and pressure cycling tests were conducted in compliance with the API 6A standard.The tests confirmed that the maximum sealing pressure of the K-type metal seal satisfied the requirement of a 1.5-fold working pressure and validated that the seal exhibited good sealing performance in oil and gas pressure-temperature cycling conditions.The K-type metal seal was self-tightening,where the pressure enhanced the sealing effect,Hertz contact theory can be used for preliminary parameter design in the early stage,and the sealing performance can be further verified through elastic-plastic finite element method and experiments.
基金supported by grants from the Ministry of Science and Technology(China)of China(MOST,2023YFC2306700)the National Natural Science Foundation of China-Yunnan Joint Found(NSFC,U2202215)+4 种基金the National Natural Science Foundation of China(NSFC,81672040)to J.Zhouthe Ministry of Science and Technology of China Foreign Expert Program to J.Zhou(G2021061008L)a Thousand Foreign Talent scholarship from Yunnan Province and High-end Foreign Expert Project of Yunnan Revitalization Talent Support Program to J.ZhouYunnan Fundamental Research Projects(202401AT070192)the National Natural Science Foundation of China(NSFC,82401655)to W.E.
摘要Herpes simplex virus type 1(HSV-1)infects over 70%of the population and establishes lifelong latent infection with periodic reactivation in humans,resulting in various related diseases.However,the molecular and cellular events underlying the transition of HSV-1 from latency to reactivation remain poorly understood.In this study,we used bulk RNA sequencing and single-cell transcriptomic analyses to dissect the cellular and molecular events of HSV-1 latency-reactivation transition in infected trigeminal ganglia(TG)in both mouse and tree shrew infection models.We found that mice exhibited fluctuating host gene responses during the acute phase and relatively quiescent latency,whereas tree shrews displayed a relatively mild acute phase and active latency characteristics.Single-cell analysis revealed that HSV-1 infects TG neuronal subpopulations expressing growth hormone and pituitary hormones.Importantly,we observed that HSV-1 latency in tree shrew TGs exhibited inhibition of cellular autophagy function,while HSV-1 latency in mice was accompanied by the attenuation of monocyte-related immune surveillance.Given that infected cell protein 0(ICP0)has autophagy inhibitory activity,we further investigated the role of this viral protein in tree shrew models using an ICP0-deficient HSV-1 strain.Notably,the mutant virus could not undergo spontaneous reactivation from latency.These findings support the hypothesis that ICP0 may be essential for spontaneous reactivation by inhibiting autophagy in vivo.
基金supported by the Fundamental Research Program of Shanxi Province(Grant No.202203021221163)the Key R&D Program of Shanxi Province(Grant No.202302140601010)+2 种基金Sci-Tech Achievements Transformation Program of Shanxi Province(Grant No.202104021301048)the Agricultural Sci-Tech Innovation Program of Shanxi Agricultural University(Grant No.CXGC2023030)the Industry Leading Program of Shanxi Agricultural University(Grant No.CYYL24-12).
摘要Open-central canopy(OCC)has become the popular tree shape for arboreal apple orchards in full fruit period in the Loess Plateau of China.This study aimed to elucidate the physiological regulation mechanisms related to planting density optimization,photosynthetic performance enhancement,and fruit quality improvement in dense-canopy OCC apple orchards in the Loess Plateau of China through tree thinning practices at different intensities.This study used three planting densities of OCC apple trees as experimental materials.These include no thinning[NT,3 m(plant)×4 m(row)],low-intensity thinning[LT,i.e.,first thinning based on NT:4 m(plant)×6 m(row)],and high-intensity thinning[HT,i.e.,second thinning based on LT:6 m(plant)×8 m(row)].In three successive experimental years,changes in spatiotemporal variations of photosynthetically active radiation(PAR)intercepted by canopy,leaf gas exchange,gross photosynthetic rate(Pg),photorespiration rate(Pr),nonphotochemical quenching(NPQ)dark relaxation curves,antioxidant enzyme activity[ascorbate peroxidase,catalase and superoxide dismutase(SOD)],and fruit quality were carefully measured and compared.Results showed that compared with NT,LT increased PAR by 36%,maximum net photosynthetic rate under light saturation(Pnmax,P)by 30%,carboxylation efficiency(CE)by 37%,fruit soluble solid content(SSC)by 4%,and peel anthocyanin content(AC)by 20%.Moreover,LT enhanced the photoprotective capacity through elevated ratio of Pr to Pg under PAR of 2000μmol∙m-2∙s-1(52%),the reversible component in NPQ[r(qE),9%],and antioxidant enzymes(SOD 10%).Compared with NT,HT enhanced PAR by 71%,Pnmax,P by 67%,CE by 65%,SSC by 9%,and AC by 37%and boosted photoprotection through increased Pr/Pg(116%),r(qE)(11%),and SOD activity(29%).The Pearson Correlation Coefficients between PAR and the fruit quality indices(including single fruit weight,SSC,and AC)were 0.89,0.73,and 0.96,respectively.Single fruit weight and SSC were significantly and positively correlated with photosynthetic parameters(such as Pnmax,P and CE).In summary,after tree thinning,the light environment in the OCC of apple trees was remarkably improved,and the leaf photosynthetic and photoprotective capacities were enhanced,thus significantly boosting fruit qualities.In terms of the dose responses,high-intensity thinning demonstrated the most significant enhanced effects.
基金supported by Istanbul Technical University(Project No.45698)supported through the“Young Researchers’Career Development Project-training of doctoral students”of the Croatian Science Foundation.
摘要This paper investigates the reliability of internal marine combustion engines using an integrated approach that combines Fault Tree Analysis(FTA)and Bayesian Networks(BN).FTA provides a structured,top-down method for identifying critical failure modes and their root causes,while BN introduces flexibility in probabilistic reasoning,enabling dynamic updates based on new evidence.This dual methodology overcomes the limitations of static FTA models,offering a comprehensive framework for system reliability analysis.Critical failures,including External Leakage(ELU),Failure to Start(FTS),and Overheating(OHE),were identified as key risks.By incorporating redundancy into high-risk components such as pumps and batteries,the likelihood of these failures was significantly reduced.For instance,redundant pumps reduced the probability of ELU by 31.88%,while additional batteries decreased the occurrence of FTS by 36.45%.The results underscore the practical benefits of combining FTA and BN for enhancing system reliability,particularly in maritime applications where operational safety and efficiency are critical.This research provides valuable insights for maintenance planning and highlights the importance of redundancy in critical systems,especially as the industry transitions toward more autonomous vessels.
基金supported by the Evaluation of Site Quality and Productivity Improvement Technology of Typical Plantations,the National Key R&D Program of the 14th Five Year Plan(Grant Number 2022YFD2200501).
摘要Cunninghamia lanceolata(Lamb.)Hook,a key species for forest plantations in subtropical China,is experiencing a critical decline in productivity due to management practices like long-term successive rotation.Within the C.lanceolata ecosystems,the vigour of the dominant trees reflects their growth potential under the prevailing site conditions.This is crucial for informing management strategies aimed at optimizing plantation productivity.This study focuses on dominant individuals of C.lanceolata,employing their basal area increment in the final year as a quantitative indicator of stand vigour.A dual-dimensional evaluation framework integrating crown structure and tree rings was developed to investigate the underlying mechanisms by which crown structural parameters,stand density and tree age influence stand vigour.This was based on stem analysis data from 76 dominant trees sampled across six southern Chinese provinces.Tree ring data were combined with crown structural parameters including length,width,ratio,volume,shape ratio,and crown projection ratio.A multi-method analytical framework incorporating correlation analysis,difference testing,subgroup analysis,and linear threshold regression modeling was employed to systematically examine these interactions.The results demonstrated that:(1)crown length exhibited a significant positive correlation with basal area increment,while crown shape and projection ratios had significant negative effects.(2)Middle-aged stands(11–20 years)and low-density stands(≤1000 ind.ha-1)exhibited the highest vigour,with significantly greater basal area increment compared to other age classes and density gradients.(3)Linear threshold regression analysis identified a critical threshold for the clear bole ratio at approximately 0.5.Staying below this value optimizes crown morphology and boosts vigour.Therefore,silvicultural management of C.lanceolata plantations should prioritize density regulation to alleviate inter-tree competition,complemented by precision pruning during the critical 11−20-year phase.Strategic control of the clear bole ratio is recommended to enhance stand vigour.
基金supported by theHubei Provincial Technology Innovation Special Project and the Natural Science Foundation of Hubei Province under Grants 2023BEB024,2024AFC066,respectively.
摘要Underwater images frequently suffer from chromatic distortion,blurred details,and low contrast,posing significant challenges for enhancement.This paper introduces AquaTree,a novel underwater image enhancement(UIE)method that reformulates the task as a Markov Decision Process(MDP)through the integration of Monte Carlo Tree Search(MCTS)and deep reinforcement learning(DRL).The framework employs an action space of 25 enhancement operators,strategically grouped for basic attribute adjustment,color component balance,correction,and deblurring.Exploration within MCTS is guided by a dual-branch convolutional network,enabling intelligent sequential operator selection.Our core contributions include:(1)a multimodal state representation combining CIELab color histograms with deep perceptual features,(2)a dual-objective reward mechanism optimizing chromatic fidelity and perceptual consistency,and(3)an alternating training strategy co-optimizing enhancement sequences and network parameters.We further propose two inference schemes:an MCTS-based approach prioritizing accuracy at higher computational cost,and an efficient network policy enabling real-time processing with minimal quality loss.Comprehensive evaluations on the UIEB Dataset and Color correction and haze removal comparisons on the U45 Dataset demonstrate AquaTree’s superiority,significantly outperforming nine state-of-the-art methods across five established underwater image quality metrics.
基金funded by the grant“EVA4.0”,No.Z.02.1.01/0.0/0.0/16_019/0000803 supported by OP RDE as well as by the projects APVV-19-0387,APVV-22-0056,and APVV-23-0293 from the Slovak Research and Development Agencyco-funded by the European Commission under the Horizon Europe Teaming for Excellence action+1 种基金project Ligno Silvagrant agreement No.101059552。
摘要This study investigated biomass allocation in young stands of European beech(Fagus sylvatica L.)and Norway spruce(Picea abies(L.)Karst.)across 31 forest sites in the Western Carpathians,Slovakia.A total of 541 trees aged 2–10 years,originating from natural regeneration and planting,were destructively sampled to quantify biomass in four components:foliage,branches,stems,and roots.Generalized non-linear least squares(GNLS)models with a weighing variance function outperformed log-transformed seemingly unrelated regression(SUR)models in terms of accuracy and robustness,especially for foliage and branch biomass.When using height as the predictor,SUR models tended to underestimate biomass in planted beech,leading to notable underprediction of aboveground and total biomass.Biomass allocation patterns varied significantly by species and regeneration origin.Using a non-linear system of equations and component ratio modelling,we found out that planted spruce displayed low variability and a consistent dominance of needle biomass,while naturally regenerated beech showed greater variability and a higher proportion of stem biomass,reflecting stronger competition-driven vertical growth.Interspecific differences in total biomass were more pronounced when using tree height,with spruce generally exhibiting greater biomass than beech at equivalent heights.Overall,stem base diameter marginally outperformed tree height as a predictor of biomass.However,tree height-based models showed strong performance and are particularly suitable for integration with remote sensing applications.These findings can directly support forest managers and modellers in comparing regeneration methods and biomass estimation approaches for early-stage stand development,carbon accounting,and remote sensing calibration.
摘要Background 3D botanical tree reconstruction from a single image plays a vital role in the field of computer graphics.However,accurately capturing the intricate branching patterns and detailed morphologies of trees remains a challenge.Methods In this study,we proposed a novel approach for single-image tree reconstruction using a conditional generative adversarial network to infer the 3D skeleton of a tree in the form of a 2D skeleton depth map.Based on the 2D skeleton depth map,a corresponding branching structure(3D skeleton)that inherits the tree shape in the input image and leaves can be generated using a procedural modeling technique.Result Experimental results show that the proposed method accurately reconstructs diverse tree structures across species.Both quantitative and qualitative evaluations demonstrate improved skeleton completeness,branching accuracy,and visual realism over baseline methods,while requiring no user input.Conclusions Our proposed approach for generating lifelike 3D tree models from a single image with no user input shows its proficiency in achieving efficient and reliable reconstruction.These results showcase the capability of the proposed model to recreate complex tree architectures while capturing their visual authenticity.
基金financially supported by the National Natural Science Foundation of China(U23A20211)the Henan Province Traditional Chinese Medicine Industry Technology System(HARS-22-11-S).
摘要SEP3,one of the SEPALLATA(SEP)genes,plays a crucial role in the regulation of floral organ morphogenesis in plants.However,its specific function and molecular regulatory mechanisms remain largely unclear in tree peony(Paeonia suffruticosa Andr.).In this study,the PsSEP3L1 sequence of the tree peony cultivar‘Luoyang Hong’was obtained by homologous cloning.The open reading frame of PsSEP3L1 is 738 bp and encodes 245 amino acids.Phylogenetic analysis indicated that PsSEP3L1 was most closely related to the SEP3 homolog from cassava.The expression level of PsSEP3L1 in petals,petaloid petals,and stamens was significantly higher than that in sepals.Specifically,in the petaloid petals of the tree peony cultivar‘Luoyang Hong’,the expression level was 23.73-fold higher than that in sepals.Functional assays demonstrated that overexpression of PsSEP3L1 significantly increased petal number in tree peony,whereas silencing of this gene resulted in a significant reduction in petal number,confirming its positive regulatory role in petal number determination.The Yeast two-hybrid and Bimolecular fluorescence complementation assays revealed that PsSEP3L1 protein interacts with MADS-box family proteins,including PsSEP1L,PsAP3,and PsAG.Collectively,PsSEP3L1 may participate in regulating petal number in tree peony by forming protein complexes with other MADS-box proteins,thereby contributing to floral organ morphogenesis.This study provides a basis for further mechanistic studies on floral organ morphogenesis in tree peony.